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ORCIDBigData Conference 2024: Washington, DC, USA
- Wei Ding, Chang-Tien Lu, Fusheng Wang, Liping Di, Kesheng Wu, Jun Huan, Raghu Nambiar, Jundong Li, Filip Ilievski, Ricardo Baeza-Yates, Xiaohua Hu:
IEEE International Conference on Big Data, BigData 2024, Washington, DC, USA, December 15-18, 2024. IEEE 2024, ISBN 979-8-3503-6248-0 - Olatunde Akanbi, Jiaqi Li, Vibha Mandayam, Arafath Nihar, Yinghui Wu, Laura S. Bruckman, Jeffrey M. Yarus, Erika I. Barcelos, Roger H. French:
Integrating Multimodal Geospatiotemporal Data for Societal, Economic, and Environmental (SEE) Analysis of Large Agricultural Systems. 1 - Rui Zhang, Alexander Tu, Wei Dai:
Optimized Precision Time Source and Time Synchronization Simulation. 1-2 - Yang Chen, Elissa P. Lei:
Deciphering the contribution of 3D interactions between cis-regulatory elements and promoters to regulate gene expression using graph neural networks. 1 - Abhisek Chakraborty, Saptati Datta:
Learning with Sparsely Permuted Data: A Robust Bayesian Approach. 4-13 - Ling Cheng, Qian Shao, Fengzhu Zeng, Feida Zhu
:
A Full-History Network Dataset for BTC Asset Decentralization Profiling. 14-23 - Yichuan Deng, Zhihang Li, Sridhar Mahadevan, Zhao Song:
Zero-th Order Algorithm for Softmax Attention Optimization. 24-33 - Hiroki Hasegawa, Kazuyoshi Yata, Yukihiko Okada, Jun Kunimatsu:
Proposing a Low-Rank Approximation Method with Mathematical Guarantees for High-Dimensional Tensor Data. 34-43 - Yekun Ke, Xiaoyu Li, Zhao Song, Tianyi Zhou:
Faster Sampling Algorithms for Polytopes with Small Treewidth. 44-53 - Tanvir Ahmed Khan, Leonidas Fegaras:
A Planner for Scalable Tensor Programs. 54-63 - Mohammad Hossein Moslemi, Harini Balamurugan, Mostafa Milani:
Evaluating Blocking Biases in Entity Matching. 64-73 - Eugenio Noda, Luna Yue Huang, Trinetta Chong, Shruti Jain, Andreas Madestam, Anna Tompsett, Hannah Druckenmiller, Solomon Hsiang:
A machine-learning pipeline for merging and georeferencing very large archives of historical aerial photographs. 74-83 - Zhongyi Que, Linchuan Xu, Kenji Yamanishi:
Luckiness Normalized Maximum Likelihood-based Change Detection for High-dimensional Graphical Models with Missing Data. 84-93 - Xinran Wang, Qi Le, Ahmad Faraz Khan, Jie Ding, Ali Anwar:
ICL: An Incentivized Collaborative Learning Framework. 94-103 - Lamine Diop, Marc Plantevit:
Scalable Sampling for High Utility Patterns. 104-109 - Lamine Diop, Marc Plantevit, Arnaud Soulet:
RPS: A Generic Reservoir Patterns Sampler. 110-115 - Md. Moinul Islam, Usman Muhammad, Mourad Oussalah:
Evaluating Text Summarization Techniques and Factual Consistency with Language Models. 116-122 - Ilya Stupakov, Anton Kochepasov:
An Efficient Single-pass Online Computation of Higher-Order Bivariate Statistics. 123-129 - Hexiang Liu, Qilong Han, Jingyu Sheng, Dan Lu, Shanshan Sui, Hui Sun:
DyMGCN: Dynamic Multi-Graph Convolution Networks for Spatio-Temporal Forecasting. 130-137 - Asif Ahmed Neloy, Maxime Turgeon:
Disentangled Conditional Variational Autoencoder for Unsupervised Anomaly Detection. 138-143 - Junda Wang, Weijian Li, Han Wang, Hanjia Lyu, Caroline Thirukumaran, Addisu Mesfin, Hong Yu, Jiebo Luo:
CRTRE: Causal Rule Generation with Target Trial Emulation Framework. 144-158 - Yaoshu Wang, Mengyi Yan:
Unsupervised Domain Adaptation for Entity Blocking Leveraging Large Language Models. 159-164 - Ye Xue, Diego Klabjan, Jean Utke:
Multimodal Learning on Temporal Data. 165-172 - Yanhui Zhu, Samik Basu, Aduri Pavan:
Fairness in Monotone k-submodular Maximization: Algorithms and Applications. 173-178 - Shinyoung Ahn, Sookwang Lee, Hyeonseong Choi, Jaehyun Lee:
Efficient Data-parallel Distributed DNN Training for Big Dataset under Heterogeneous GPU Cluster. 179-188 - Vito Giovanni Castellana, Burcu O. Mutlu, Ian Di Dio Lavore, Jesun Firoz, Katherine E. Wolf, Marco Minutoli, John Feo:
Custom Accessors: Enabling Scalable Data Ingestion, (Re-)Organization, and Analysis on Distributed Systems. 189-198 - Dian Chen, Paul Yang, Dong Sam Ha, Jin-Hee Cho:
susFL: Federated Learning-based Monitoring for Sustainable, Attack-Resistant Smart Farms. 199-208 - Biyi Fang, Diego Klabjan, Truong Vo:
Stochastic Large-scale Machine Learning Algorithms with Distributed Features and Observations. 209-242 - Bedirhan Gergin, Charalampos Chelmis:
Large-Scale Knowledge Graph Embeddings in Apache Spark. 243-251 - Khondoker Mirazul Mumenin, Dong Dai, Jinzhen Wang, Sheng Di:
QualityNet: Error-bounded Lossy Compression Quality Prediction via Deep Surrogate. 252-261 - Dat Nguyen, Muhammad Rafid, Nathanael Santoso, Khanh Nguyen:
CacheIt: Application-Agnostic Dynamic Caching for Big Data Analytics. 262-271 - Paula Olaya, Sophia Wen, Jay F. Lofstead, Michela Taufer:
PerSSD: Persistent, Shared, and Scalable Data with Node-Local Storage for Scientific Workflows in Cloud Infrastructure. 272-281 - Lucas M. Ponce, Dorgival O. Guedes:
Improving Data Science Applications with a Visual Cross-Platform Execution Environment. 282-291 - Rubayet Rahman Rongon, Chen Cao, Xuechen Zhang:
A Study of Data-Path Bugs in PyTorch with a Focus on Memory Issues. 292-301 - Rahul Sahni, Xiaozheng Zhang, Sudip Chatterjee, Suprio Ray:
Scalable Big Spatial Data Processing with SQL Query Compilation and Distributed Morsel-driven Parallelism. 302-311 - Luke Schultz, Owen Randall, Paul Lu:
Common Pitfalls with Data Deduplication Parameters and Metrics. 312-321 - Martin Weise, Andreas Rauber:
DBRepo: A Data Repository System for Research Data in Databases. 322-331 - Hooyoung Ahn, Seonyoung Kim, Yoo-Mi Park, Woojong Han, Shinyoung Ahn, Tu Tran, Bharath Ramesh, Hari Subramoni, Dhabaleswar K. Panda:
MPI Allgather Utilizing CXL Shared Memory Pool in Multi-Node Computing Systems. 332-337 - Charlie Dickens, Eric Bax, Alexander Saydakov:
Key Compression Limits for k-Minimum Value Sketches. 338-343 - Se-Min Lim, Esmerald Aliaj, Sang-Woo Jun:
Durin: CPU-FPGA Heterogeneous Platform for Scalable Low-Dimensional Data Clustering. 344-351 - Arseme Vadèle Djeufack Nanfack, Gaël Le Mahec, Gilles Dequen:
Optimizing Privacy While Limiting Information Loss in Distributed Data Anonymization. 352-359 - Iason Ofeidis, Diego Kiedanski, Leandros Tassiulas:
An Overview of the Data-Loader Landscape: Comparative Performance Analysis. 360-367 - Siwoon Son, Seong-Hwan Kim, Heesun Won:
Distributed Data Analysis Workflow System across Multiple Data Hubs. 368-373 - Nicolas Blumenröhr, Philipp-Joachim Ost, Felix Kraus, Achim Streit:
FAIR Digital Objects for the Realization of Globally Aligned Data Spaces. 374-383 - Zhong Chen, Yi He, Di Wu, Liudong Zuo, Keren Li, Wenbin Zhang, Zhiqiang Deng:
ℓ1, 2-Norm and CUR Decomposition based Sparse Online Active Learning for Data Streams with Streaming Features. 384-393 - Jaeri Lee, Jeongin Yun, U Kang:
Towards True Multi-interest Recommendation: Enhanced Scheme for Balanced Interest Training. 394-402 - Zhuohan Xu, Dejun Teng, Zhaohui Peng, Fusheng Wang:
Understanding the Intrinsic Characteristics of Spatial Partitioning in Distributed Spatial Join. 403-412 - Liangwei Yang, Zhiwei Liu, Jianguo Zhang, Rithesh Murthy, Shelby Heinecke, Huan Wang, Caiming Xiong, Philip S. Yu:
Personalized Multi-task Training for Recommender System. 413-422 - Chengzhe Zhang, Xu Min, Changsheng Li, Xiaolu Zhang, Weichang Wu, Jun Zhou, Ye Yuan, Guoren Wang:
MIBR: Bridging Domains through Diverse Interests for Cross-Domain Sequential Recommendation. 423-432 - Antheas Kapenekakis, Daniele Dell'Aglio, Charles Vesteghem, Laurids Poulsen, Martin Bøgsted, Minos N. Garofalakis, Katja Hose:
Synthesizing Accurate Relational Data under Differential Privacy. 433-439 - Mozhgan Karimi, Len Feremans, Boris Cule, Bart Goethals:
Session-based News Recommendation Using Cohesive Patterns. 440-447 - Mao-Lin Li, K. Selçuk Candan, Maria Luisa Sapino:
Causally Informed Factorization Machines. 448-455 - Yuqing Liu, Yu Wang, Yuwei Cao, Lichao Sun, Philip S. Yu:
Visual Summary Thought of Large Vision-Language Models for Multimodal Recommendation. 456-461 - Sibo Lu, Zhen Liu, Xinxin Yang, Yilin Ding, Yibo Gao, Yafan Yuan:
Meta-Learning for Debiasing Recommendation using Simulated Uniform Data. 462-467 - Ibrahim Mohamed Serouis, Florence Sèdes:
Leveraging LLMs for Fair Data Labeling and Validation in Crowdsourcing Environments [Vision Paper]. 468-472 - Poonam Sharma, Dildar Ali, Suman Banerjee:
Minimizing Regret in Social Media Advertisement*. 473-478 - Yu-Fei Shih, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen:
Visual Lifelog Retrieval through Captioning-Enhanced Interpretation. 479-486 - Zhenrui Yue, Huimin Zeng, Yang Zhang, Julian J. McAuley, Dong Wang:
Transferable Sequential Recommendation via Vector Quantized Meta Learning. 487-492 - Liudong Zuo, Pan Lai, Zhong Chen:
Optimal Scheduling Algorithms for Cost-Effective Bandwidth Reservation in HPNs. 493-498 - Rui Cai, Shichao Pei, Xiangliang Zhang:
Zero-Shot Relational Learning for Multimodal Knowledge Graphs. 499-508 - Tianyi Chen, Charalampos E. Tsourakakis:
Parallel Motif-Based Community Detection. 509-518 - Jonathan Colin, Silviu Maniu:
Optimizing Diverse Information Exposure in Social Graphs. 519-528 - Yi Deng, Min Wu, Yan Ma:
AGO-FT: An adaptive guided oversampling based on fast space division and trustworthy sampling space for imbalanced noisy datasets. 529-538 - Bin Dong, Avinash Nayak, Verónica Rodríguez Tribaldos, Kesheng Wu, Jonathan Ajo-Franklin, Qile Zhang, Fan Guo, Suren Byna, Patrick Dobson, Alexander Sim:
TensorSearch: Parallel Similarity Search on Tensors. 539-548 - Gajendra Doniparthi, Tim Otto, Stefan Deßloch:
On Modeling Adaptive Index Management as Adversarial Search. 549-558 - Muhammed Ifte Khairul Islam, Khaled Mohammed Saifuddin, Tanvir Hossain, Esra Akbas:
DyGCL: Dynamic Graph Contrastive Learning For Event Prediction. 559-568 - Zongli Jiang, Yirui Tan, Guoxin Chen, Fangda Guo, Jinli Zhang, Xiaolu Bai:
GNN-Based Persistent K-core Community Search in Temporal Graphs. 569-578 - Maleq Khan, Sharon Boddu:
Fast Distributed Memory Parallel Algorithms for Finding Connected Components in Large Graphs. 579-588 - Srivatsa Mallapragada, Ying Xie, Varsha Rani Chawan, Zeyad Hailat, Yuanbo Wang:
Multi-Modality Transformer for E-Commerce: Inferring User Purchase Intention to Bridge the Query-Product Gap. 589-598 - Jingfan Meng, Huayi Wang, Kexin Rong, Jun Xu:
CanDE: A Lightweight Locality-Sensitive Hashing Add-on for Candidate-Based Distribution Estimation. 599-609 - Jingfan Meng, Huayi Wang, Jun Xu:
Efficient Point-to-Subspace ANNS in Manhattan and Lp Space by LSH Pruning. 610-619 - Ashirbad Mishra, Shad Kirmani, Kamesh Madduri:
Fast Sentence Classification using Word Co-occurrence Graphs*. 620-629 - Jason Niu, Ilya D. Amburg, Sinan G. Aksoy, Ahmet Erdem Sariyüce:
Retrieving Top-k Hyperedge Triplets: Models and Applications. 630-639 - Daeyoung Roh, Donghee Han, Daehee Kim, Keejun Han, Mun Yong Yi:
Closer through commonality: Enhancing hypergraph contrastive learning with shared groups. 640-649 - Guoyou Sun, Panagiotis Karras, Qi Zhang:
Shrink: Data Compression by Semantic Extraction and Residuals Encoding. 650-659 - Surendrabikram Thapa, Mohammad Salman, Siddhant Bikram Shah, Qi Zhang, Junaid Rashid, Liang Hu, Imran Razzak, Usman Naseem:
SAFENet: Towards a Robust Suicide Assessment in Social Media Using Selective Prediction Framework. 660-669 - Di You, Kyumin Lee:
Context-Aware Diffusion-based Sequential Recommendation. 670-679 - Wendi Yu, Zhichao Hou, Xiaorui Liu:
Automated Polynomial Filter Learning for Graph Neural Networks. 680-689 - Xiaofan Zhou, Kyumin Lee:
ID and Graph View Contrastive Learning with Multi-View Attention Fusion for Sequential Recommendation. 690-699 - Matthew Fried, Honggang Wang, Hua Fang:
Feature Interaction Detection in Big Data Through a New Choquet Integral based Deep Neural Network. 700-708 - Jinrui Gou, Yifan Liu, Minghao Shao, Torsten Suel:
Beyond Quantile Methods: Improved Top-K Threshold Estimation for Traditional and Learned Sparse Indexes. 709-716 - Shuqi He, Jun Song:
WalkBayes: Robust Node Classification via Bayesian Inference and Random Walks under Perturbations. 717-722 - Masafumi Iwanaga, Keishi Tajima, Yoko Yamakata:
Next Topic Recommendation for Influencers on Social Media. 723-728 - Mahsa Khazaei, Azim Ahmadzadeh, Krishna Rukmini Puthucode:
Multiscale Dubuc: A New Similarity Measure for Time Series. 729-734 - Mekala Kiran, Apurba Das, Suman Banerjee:
Efficient counting of balanced (2, k)-bicliques in Signed Bipartite Graphs. 735-740 - Quan Li, Tianxiang Zhao, Lingwei Chen, Junjie Xu, Suhang Wang:
Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models. 741-746 - Xiang Li, Gagan Agrawal, Rajiv Ramnath, Ruoming Jin:
Federated Contrastive Learning of Graph-Level Representations. 747-752 - Md. Mahin, Christoph F. Eick:
Norma: A Framework for Finding Threshold Associations Between Continuous Variables Using Point-wise Functions. 753-760 - Alireza P. Nouri, Mahmud Shahriar Hossain:
DifStoryGen: Diffusion-Based Storytelling Algorithm with Distributed Attention. 761-768 - Hyunju Oh, Wei Zhang, Christopher D. Rickett, Sreenivas R. Sukumar, Suren Byna:
Evaluating Performance Trade-offs of Caching Strategies for AI-Powered Querying Systems. 769-776 - Olawumi Olasunkanmi, Evan Morris, Yaphet Kebede, Harlin Lee, Stanley C. Ahalt, Alexander Tropsha, Chris Bizon:
Explainable Enrichment-Driven GrAph Reasoner (EDGAR) for Large Knowledge Graphs with Applications in Drug Repurposing. 777-782 - Chirag Shah, Wade Darnell, Hannah Collier, Harold Shanafield, Michael Giansiracusa, Giri Prakash:
Enhancing Discoverability and Management of Atmospheric Data at Scale: Solutions from the ARM Data Center. 783-792 - Antonios Skevis, George Klioumis, Nikos Giatrakos:
A Novel Reverse Random Hyperplane Projection Scheme and Its Effect on Mining Sensor Streams. 793-798 - Yuxin Tang, Mangesh Bendre, Mahashweta Das:
Monarch: Distributed Butterfly Counting for Large-scale Bipartite Graph. 799-804 - Zaiyi Zheng, Yushun Dong, Song Wang, Haochen Liu, Qi Wang, Jundong Li:
KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models. 805-810 - Eric Bax, Arundhyoti Sarkar, Alex Shtoff:
Early Stopping Based on Repeated Significance. 811-819 - Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib:
Targeting Negative Flips in Active Learning using Validation Sets. 820-829 - Justin Carpenter, Edoardo Serra:
2FWL-SIRGN: A Scalable Structural 2-dimensional Folklore Weisfeiler Lehman Graph Representation Learning Approach Via Structural Graph Partitioning. 830-839 - Hongjie Chen, Aaron D. Beachnau, Panos Thomas, Pranav Maneriker, Josh Kimball, Ryan A. Rossi:
LIVE-ITS: LSH-based Interactive Visualization Explorer for Large-Scale Incomplete Time Series. 840-849 - Joshua DeOliveira, Walter Gerych, Elke A. Rundensteiner:
GAN Stabilization Under Practical Training Assumptions. 850-859 - MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
SeriesGAN: Time Series Generation via Adversarial and Autoregressive Learning. 860-869 - Desmond Fomo, Aki-Hiro Sato:
Enhancing Big Data Analysis: A Recursive Window Segmentation Strategy for Multivariate Longitudinal Data. 870-879 - Kevin Garcia, Juan M. Perez, Yifeng Gao:
Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution Selection. 880-889 - Federico Giannini, Emanuele Della Valle:
MAcPNN: Mutual Assisted Learning on Data Streams with Temporal Dependence. 890-899 - Shreen Gul, Mohamed Elmahallawy, Sanjay Madria, Ardhendu Tripathy:
LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training. 900-909 - Yuki Hayashi, Atsuyoshi Nakamura:
Risk Diversification Strategy with Moving Average Reversion for Automatic Portfolio Optimization. 910-917 - Wenbin Hua, Yufan Wang, Rui Fan, Xinhui Tu, Tingting He:
Unraveling Intricacies: A Decomposition Approach for Few-Shot Multi-Intent Spoken Language Understanding. 918-927 - Matthew Inkawhich, Nathan Inkawhich, Hao Yang, Jingyang Zhang, Randolph Linderman, Yiran Chen:
OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery. 928-937 - H. M. Mohaimanul Islam, Huynh Quang Nguyen Vo, Paritosh Ramanan:
SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems. 938-948 - Kai Jiang, Chen Zhao, Haoliang Wang, Feng Chen:
FEED: Fairness-Enhanced Meta-Learning for Domain Generalization. 949-958 - Vedant Khandelwal, Manas Gaur, Ugur Kursuncu, Valerie L. Shalin, Amit P. Sheth:
A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19. 959-968 - Cheolmin Kim, Youngseok Kim, Yegna Subramanian Jambunath, Diego Klabjan:
Stochastic Scale Invariant Power Iteration for KL-divergence Nonnegative Matrix Factorization. 969-977 - Min-Seon Kim, Ling Liu, Hyuk-Yoon Kwon:
SPrint: Self-Paced Continual Learning with Adaptive Curriculum and Memory Replay. 978-987 - George Klioumis, Nikos Giatrakos:
Data-driven Synchronization Protocols for Data-parallel Neural Learning over Streaming Data. 988-997 - Qi Le, Enmao Diao, Xinran Wang, Ahmad Faraz Khan, Vahid Tarokh, Jie Ding, Ali Anwar:
DynamicFL: Federated Learning with Dynamic Communication Resource Allocation. 998-1008 - SeungJoo Lee, Yong-chan Park, U Kang:
Accurate Coupled Tensor Factorization with Knowledge Graph. 1009-1018 - Seongmin Lee, Ali Payani, Duen Horng (Polo) Chau:
Effective Guidance for Model Attention with Simple Yes-no Annotations. 1019-1028 - Xiaoyu Li, Jiangxuan Long, Zhao Song, Tianyi Zhou:
Fast Second-order Method for Neural Networks under Small Treewidth Setting. 1029-1038 - Xiao Li, Jaemoon Lee, Anand Rangarajan, Sanjay Ranka:
Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds. 1039-1048 - Dongsheng Li, Kun Niu, Xiao Chen, Zhihai Wang:
A Hybrid Model Based on Graph Convolutional Network and Multi-head Transformer for Joint Multiple Intent Detection and Slot Filling. 1049-1056 - Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Dawei Zhou, Yada Zhu, Julian Shun:
UnifiedGT: Towards a Universal Framework of Transformers in Large-Scale Graph Learning. 1057-1066 - Mahtab Movahhedrad, Zijing Chen, C.-C. Jay Kuo:
A Green Learning Approach to Efficient Image Demosaicking. 1067-1074 - Shaan Pakala, Bryce Graw, Dawon Ahn, Tam Dinh, Mehnaz Tabassum Mahin, Vassilis J. Tsotras, Jia Chen, Evangelos E. Papalexakis:
Automating Data Science Pipelines with Tensor Completion. 1075-1084 - Rahul Pandey, Ziwei Zhu, Hemant Purohit:
ORIS: Online Active Learning Using Reinforcement Learning-based Inclusive Sampling for Robust Streaming Analytics System. 1085-1093 - Dang Pham, Tuan M. V. Le:
Pre-Trained Language Models with Topic Attention for Supervised Document Structure Learning. 1094-1103 - Ejan Shakya, Haritha Prasad Rayakota, Pei-Chi Huang:
Improving CLIP for Biomedical Retrieval: A Multi-Margin Contrastive Loss Approach. 1104-1113 - Sulabh Shrestha, Emanuela Marasco, Babek H. Norouzlou:
Real-Time Finger-Video Analysis for Accurate Identity Verification in Mobile Devices. 1114-1123 - Jingwei Sun, Zhixu Du, Anna Dai, Saleh Baghersalimi, Alireza Amirshahi, David Atienza, Yiran Chen:
PlugVFL: Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties. 1124-1133 - Haoliang Wang, Chen Zhao, Feng Chen:
MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learning. 1134-1143 - Deheng Xu, Yun Li, Yunhao Yuan, Jipeng Qiang, Yi Zhu:
Incomplete Multi-Kernel k-Means Clustering With Fractional-Order Embedding. 1144-1150 - Zhengchao Yang, Mithun Ghosh, Anish Saha, Dong Xu, Konstantin Shmakov, Kuang-Chih Lee:
A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment. 1151-1160 - Guang Yang, Jiahe Li, Ziye Geng, Changqing Luo:
Quality-Aware Experience Exploitation in Model-Based Reinforcement Learning. 1161-1166 - Guang Yang, Ziye Geng, Jiahe Li, Yanxiao Zhao, Sherif Abdelwahed, Changqing Luo:
A Feedback-based Decision-Making Mechanism for Actor-Critic Deep Reinforcement Learning. 1167-1176 - Zefan Zeng, Qing Cheng, Xingchen Hu, Zhong Liu, Jingke Shen, Yahao Zhang:
Aligning the Representation of Knowledge Graph and Large Language Model for Causal Question Answering. 1177-1186 - Giacomo Ziffer, Federico Giannini, Emanuele Della Valle:
Tenet: Benchmarking Data Stream Classifiers in Presence of Temporal Dependence. 1187-1196 - Alexandra Zytek, Sara Pidò, Sarah Alnegheimish, Laure Berti-Équille, Kalyan Veeramachaneni:
Explingo: Explaining AI Predictions using Large Language Models. 1197-1208 - Temitope Adeyeha, Chetraj Pandey, Berkay Aydin:
Large Scale Evaluation of Deep Learning-based Explainable Solar Flare Forecasting Models with Attribution-based Proximity Analysis. 1209-1214 - Sarah Alnegheimish, Laure Berti-Équille, Kalyan Veeramachaneni:
OrionBench: Benchmarking Time Series Generative Models in the Service of the End-User. 1215-1222 - Saqib Azim, Mai H. Nguyen, Daniel Crawl, Jessica Block, Rawaf Al Rawaf, Francesca Hart, Mark Campbell, Robert Scott, Ilkay Altintas:
Near Real-Time Wildfire Damage Assessment using Aerial Thermal Imagery and Machine Learning. 1223-1228 - Oumaima Badi, Maxime Devanne, Ali Ismail-Fawaz, Javidan Abdullayev, Vincent Lemaire, Stefano Berretti, Jonathan Weber, Germain Forestier:
COCALITE: A Hybrid Model COmbining CAtch22 and LITE for Time Series Classification. 1229-1236 - Prianka Banik, Lin Li, Xishuang Dong, Lijun Qian:
Data Reliability Enhanced Prediction for Recommendation System: A Case Study on Named Entity Recognition. 1237-1242 - Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu:
Zero-shot LLM-guided Counterfactual Generation: A Case Study on NLP Model Evaluation. 1243-1248 - Loredana Caruccio, Stefano Cirillo, Gianpaolo Iuliano, Giuseppe Polese, Roberto Stanzione:
RYAN: A tool for explaining and visually analyzing the evolution of Relaxed Functional Dependencies. 1249-1254 - Hongjie Chen, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Hoda Eldardiry:
A Study of Foundation Models for Large-scale Time-series Forecasting. 1255-1259 - Jingyuan Chou, Jiangzhuo Chen, Madhav V. Marathe:
Estimate Causal Effects of Entangled Treatment on Graphs using Disentangled Instrumental Variables. 1260-1267 - Benjamin Cobb, Ricardo Velasquez, Richard W. Vuduc, Haesun Park:
Clustering and Topic Discovery of Multiway Data via Joint-NCMTF. 1268-1275 - Minh-Son Dao, Koji Zettsu, Duy-Tang Hoang:
Spatial-temporal Graph Transformer Network for Spatial-temporal Forecasting. 1276-1281 - Annunziata D'Aversa, Gianvito Pio, Michelangelo Ceci:
Leveraging Spatio-Temporal Locality in Linear Model Trees for Multi-Step Time Series Forecasting. 1282-1287 - Ninghua Dong, Zhen Liu, Xiang He, Yiran Li:
Ternary Logit Distillation via Non-Target Classes Decomposition. 1288-1293 - Srinivas Eswar, Koby Hayashi, Benjamin Cobb, Ramakrishnan Kannan, Grey Ballard, Richard W. Vuduc, Haesun Park:
On Rank Selection for Nonnegative Matrix Factorization. 1294-1301 - Shreen Gul, Mohamed Elmahallawy, Sanjay Madria, Ardhendu Tripathy:
FisherMask: Enhancing Neural Network Labeling Efficiency in Image Classification Using Fisher Information. 1302-1308 - Weiqing He, Bojian Hou, Tianqi Shang, Davoud Ataee Tarzanagh, Qi Long, Li Shen:
SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text. 1309-1314 - Helia Hedayati, Saeed Samet:
DataInsight: Big Data Analytics Services. 1315-1320 - Kazuhiro Hiraki, Shinichi Ishihara, Junnosuke Shino:
Alternative Methods to SHAP Derived from Properties of Kernels: A Note on Theoretical Analysis. 1321-1326 - Pouya Hosseinzadeh, Peiyu Li, Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi:
ACTS: Adaptive Counterfactual Explanations for Time Series Data Using Barycenters. 1327-1332 - Azal Ahmad Khan, Ahmad Faraz Khan, Haider Ali, Ali Anwar:
Personalized Federated Learning Techniques: Empirical Analysis. 1333-1339 - Min-Seon Kim, Ling Liu, Hyuk-Yoon Kwon:
OL4TeX: Adaptive Online Learning for Text Classification under Distribution Shifts. 1340-1345 - Isaiah J. King, Benjamin Bowman, H. Howie Huang:
Fine-grained Graph-based Anomaly Detection on Vehicle Controller Area Networks. 1346-1351 - Joël Roman Ky, Bertrand Mathieu, Abdelkader Lahmadi, Raouf Boutaba:
CATS: Contrastive learning for Anomaly detection in Time Series. 1352-1359 - Akanksha Lal, Sadhana Tiwari, Rushil Patra, Sonali Agarwal:
Melanoma Classification using GAN based augmentation and Self-Supervised feature extraction. 1360-1366 - Hyeyoung Lee, Sangkyun Lee, Sungjoon Choi:
Perturbation-driven data augmentation for time series anomaly detection improvement in predictive maintenance. 1367-1372 - Everett Lewark, Matthew Young, Paahuni Khandelwal, Sangmi Lee Pallickara, Shrideep Pallickara:
Periscope: A Framework for Visualizations of Multiresolution Spatiotemporal Data at Scale. 1373-1380 - Hao Li, Chunzhi Xie, Zhoulin Cao, Yan-Li Lee, Jia Liu, Zhisheng Gao:
A Negative Sample Enhancement Strategy to Improve Contrastive Learning for Unsupervised Sentence Representation. 1381-1386 - Qi Li, Tzu-Chen Chiu, Hsiang-Wei Huang, Min-Te Sun, Wei-Shinn Ku:
VideoBadminton: A Video Dataset for Badminton Action Recognition. 1387-1392 - Huy Mai, Xintao Wu:
Federated Learning under Sample Selection Heterogeneity. 1393-1400 - Jayalakshmi Mangalagiri, Aryya Gangopadhyay, David Chapman:
A Progressive Meta-Algorithm for Large and Seamless Super Resolution Images. 1401-1406 - David Millard, Arielle Carr, Stéphane Gaudreault:
Deep Learning for Koopman Operator Estimation in Idealized Atmospheric Dynamics. 1407-1412 - Lianke Qin, Zhao Song, Yuanyuan Yang:
Efficient SGD Neural Network Training via Sublinear Activated Neuron Identification. 1413-1427 - Farah Saeed, Mohammed Aldosari, Ismailcem Budak Arpinar, John A. Miller:
LLM4cast: Repurposed LLM for Viral Disease Forecasting. 1428-1433 - Bhavyesh Sajja, Seon Ho Kim:
Impact of Noise in Large Real-World Datasets on Semi-Supervised Object Detection: A Case Study of Homeless Encampments Detection. 1434-1441 - Hyunseok Seung, Jaewoo Lee, Hyunsuk Ko:
NysAct: A Scalable Preconditioned Gradient Descent using Nyström Approximation. 1442-1449 - Jimeng Shi, Azam Shirali, Giri Narasimhan:
Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuning. 1450-1457 - Md. Saiful Bari Siddiqui, Md Mohaiminul Islam, Md. Golam Rabiul Alam:
Divide2Conquer (D2C): A Decentralized Approach Towards Overfitting Remediation in Deep Learning. 1458-1463 - Yuto Suzuki, Farnoush Banaei Kashani:
Personalized Federated Learning by Domain-Aware Network Pruning and Re-growth. 1464-1469 - Pranav Deepak Tanna, Siddharth Khare, Sanyam Sanjay Jain, Shivodit Raj Vishnoi, Samay Roy, Jagat Sesh Challa:
Optimizing Liquid Neural Networks: A comparative study of LTCs and CFCs. 1470-1475 - Onur Vural, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction. 1476-1483 - Hang Yin, Yao Su, Liping Liu, Thomas Hartvigsen, Xin Dai, Xiangnan Kong:
SkipSNN: Efficiently Classifying Spike Trains with Event-attention. 1484-1491 - Tunhou Zhang, Wei Wen, Igor Fedorov, Xi Liu, Buyun Zhang, Fangqiu Han, Wen-Yen Chen, Yiping Han, Feng Yan, Hai Li, Yiran Chen:
DistDNAS: Search Efficient Feature Interactions within 2 Hours. 1492-1499 - Hong Zhao, Huyunting Huang, Tonglin Zhang, Baijian Justin Yang, Jin Wei-Kocsis, Songlin Fei:
Unsupervised Machine Learning for Detecting and Locating Human-Made Objects in 3D Point Cloud. 1500-1507 - Xiaoke Zhu, Qi Zhang, Wei Zhou, Ling Liu:
Deep Learning Service for Efficient Data Distribution Aware Sorting. 1508-1515 - Varun Chandrasekaran, Suman Banerjee, Diego Perino, Nicolas Kourtellis:
Hierarchical Federated Learning with Privacy. 1516-1525 - Yuechun Gu, Keke Chen:
Calibrating Practical Privacy Risks for Differentially Private Machine Learning. 1526-1535 - Xiaoying Liu, Juanjuan Zhao, Xitong Gao, Kejiang Ye:
RCDP: A Privacy-Preserving Approach for Synthesizing Realistic Commuting Data. 1536-1545 - Ademola Adesokan, Shady Elbassuoni:
Factify: An Automated Fact-Checker for Web Information. 1546-1551 - Alycia N. Carey, Karuna Bhaila, Kennedy Edemacu, Xintao Wu:
DP-TabICL: In-Context Learning with Differentially Private Tabular Data. 1552-1557 - Chia-Cheng Chen, Hsing-Kuo Pao:
Reconsider Time Series Analysis for Insider Threat Detection. 1558-1565 - Eray Dogan, Meghdad Mirabi, Carsten Binnig:
SecureSphere: Advancing Security and Robustness in Query Processing over Outsourced Data. 1566-1573 - Peiyu Li, Pouya Hosseinzadeh, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Reliable Time Series Counterfactual Explanations Guided by ShapeDBA. 1574-1579 - Emanuela Marasco, Nora McDonald, Vivian Genaro Motti:
Vision Paper: Are Identity Verification Systems Adequately Tailored for Neurodivergent Individuals? 1580-1584 - Shahnewaz Karim Sakib, Anindya Bijoy Das:
Challenging Fairness: A Comprehensive Exploration of Bias in LLM-Based Recommendations. 1585-1592 - Xiujin Shi, Naiwen Sun, Jiawei Gong, Shoujian Yu:
FedGSDW: Enhancing Federated Learning Robustness against Model Poisoning Attack. 1593-1598 - Kiana Vu, Phung Lai, Truc Nguyen:
XSub: Explanation-Driven Adversarial Attack against Blackbox Classifiers via Feature Substitution. 1599-1604 - Xuan Zhao, Simone Fabbrizzi, Paula Reyero Lobo, Siamak Ghodsi, Klaus Broelemann, Steffen Staab, Gjergji Kasneci:
Adversarial Reweighting Guided by Wasserstein Distance to Achieve Demographic Parity. 1605-1614 - Jawad Ibn Ahad, Rafeed Mohammad Sultan, Abraham Kaikobad, Fuad Rahman, Mohammad Ruhul Amin, Nabeel Mohammed, Shafin Rahman:
Empowering Meta-Analysis: Leveraging Large Language Models for Scientific Synthesis. 1615-1624 - Jorge Quesada, Zoe Fowler, Mohammad Alotaibi, Mohit Prabhushankar, Ghassan AlRegib:
Benchmarking Human and Automated Prompting in the Segment Anything Model. 1625-1634 - Md. Nazmus Sadat Samin, Jawad Ibn Ahad, Tanjila Ahmed Medha, Fuad Rahman, Mohammad Ruhul Amin, Nabeel Mohammed, Shafin Rahman:
BanglaDialecto: An End-to-End AI-Powered Regional Speech Standardization. 1635-1644 - Yiwen Shi, Xiaohua Hu:
Automatic Prompt Generation and Optimization by Leveraging Large Language Models to Enhance Few-Shot Learning in Biomedical Tasks. 1645-1654 - Bingjiao Wang, Yong Zhang, Qinglei Zeng:
Resources Construction and LLM Fine-tuning for Education of Computer Science. 1655-1663 - Azal Ahmad Khan, Sayan Alam, Xinran Wang, Ahmad Faraz Khan, Debanga Raj Neog, Ali Anwar:
Mitigating Sycophancy in Large Language Models via Direct Preference Optimization. 1664-1671 - Neha Mohan Kumar, Fahmida Tasnim Lisa, Sheikh Rabiul Islam:
Prompt Chaining-Assisted Malware Detection: A Hybrid Approach Utilizing Fine-Tuned LLMs and Domain Knowledge-Enriched Cybersecurity Knowledge Graphs. 1672-1677 - Shenyang Liu, Yang Gao, Shaoyan Zhai, Liqiang Wang:
StyleRec: A Benchmark Dataset for Prompt Recovery in Writing Style Transformation. 1678-1685 - Josef Pichlmeier, Philipp Ross, André Luckow:
Performance Characterization of Expert Router for Scalable LLM Inference. 1686-1693 - Quan M. Tran, Suong N. Hoang, Lam M. Nguyen, Dzung T. Phan, Hoang Thanh Lam:
TabularFM: An Open Framework For Tabular Foundational Models. 1694-1699 - Prateek Verma, Minh-Hao Van, Xintao Wu:
Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis. 1700-1705 - Jeovane Honório Alves, Radu State, Cinthia Obladen de Almendra Freitas, Jean Paul Barddal:
LongKey: Keyphrase Extraction for Long Documents. 1706-1715 - Sarp Aykent, Tian Xia:
SE(3) Equivariant Neural Network for 3D Graphs. 1716-1725 - Yunlong Fan, Baixuan Li, Zhiheng Yang, Zhiqiang Gao:
Constructing A Human-Centered Dataset for Second Language Acquisition via Large Language Models. 1726-1735 - Lei Gong, Andrey Shor, Aidong Zhang, Kishlay Jha:
Context-Specific Feature Augmentation for Improving Social Determinants of Health Extraction. 1736-1745 - Sikun Guo, Amir Hassan Shariatmadari, Guangzhi Xiong, Aidong Zhang:
Embracing Foundation Models for Advancing Scientific Discovery. 1746-1755 - Nguyen Ho, James J. May, Bao Ngo, Jack Formato, Linh Ngo, Van Long Ho, Hoang Bui:
Predicting ChatGPT's Ability to Solve Complex Programming Challenges. 1756-1764 - Bruno Yuiti Leão Imai, Cristiano Mesquita Garcia, Marcio Vinicius Rocha, Alessandro Lameiras Koerich, Alceu de Souza Britto Jr., Jean Paul Barddal:
Is it Fine to Tune? Evaluating SentenceBERT Fine-tuning for Brazilian Portuguese Text Stream Classification. 1765-1774 - Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti:
A Scalable Game-theoretic Approach to Urban Evacuation Routing and Scheduling. 1775-1784 - Tobias Johannesson, Isak Rubensson, Sina Sheikholeslami, Ahmad Al-Shishtawy, Vladimir Vlassov:
DUGET: Leveraging Machine Learning for Dynamic User Grouping and Evolution Tracking in Public Transit Systems. 1785-1794 - JinGee Kim, Yong-chan Park, Jaemin Hong, U Kang:
Accurate Stock Movement Prediction via Multi-Scale and Multi-Domain Modeling. 1795-1803 - Hsu-Chao Lai, Po-Hsiang Fang, Yi-Ting Wu, Lo Pang-Yun Ting, Kun-Ta Chuang:
A Confidence-Based Power-Efficient Framework for Sleep Stage Classification on Consumer Wearables. 1804-1813 - Jialu Li, Manish Kumar Thota, Ruslan Gokhman, Radek Holik, Youshan Zhang:
SparrowVQE: Visual Question Explanation for Course Content Understanding. 1814-1823 - Hanwen Liu, Daniel Hajialigol, Benny Antony, Aiguo Han, Xuan Wang:
EEG2Text: Open Vocabulary EEG-to-Text Translation with Multi-View Transformer. 1824-1833 - Tavonput Luangphasy, Xinghui Zhao:
Efficient Arrhythmia Detection Using Progressive Resolution Shrinking. 1834-1843 - Trilok Padhi, Ugur Kursuncu, Yaman Kumar, Valerie L. Shalin, Lane Peterson Fronczek:
Enhancing Cross-Modal Contextual Congruence for Crowdfunding Success using Knowledge-infused Learning. 1844-1853 - Maren Pielka, Tobias Schneider, Jan Terheyden, Rafet Sifa:
[Vision Paper] PRObot: Enhancing Patient-Reported Outcome Measures for Diabetic Retinopathy using Chatbots and Generative AI. 1854-1859 - Bo Shen, Marco Marena, Chenyang Li, Qin Li, Haodi Jiang, Mengnan Du, Jiajun Xu, Haimin Wang:
Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges [Vision Paper]. 1860-1864 - Palak Sood, Chengyang He, Divyanshu Gupta, Yue Ning, Ping Wang:
Understanding Student Sentiment on Mental Health Support in Colleges Using Large Language Models. 1865-1872 - Tianle Wang, Jorge Ramirez, Cristina Garcia-Cardona, Thomas Proffen, Shantenu Jha, Sudip K. Seal:
An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry. 1873-1882 - Tian Xia, Sarp Aykent:
SO(3) Equivariant Framework for Spatial Networks. 1883-1891 - Raquib Bin Yousuf, Nicholas Defelice, Mandar Sharma, Shengzhe Xu, Naren Ramakrishnan:
LLM Augmentations to support Analytical Reasoning over Multiple Documents. 1892-1901 - Qiwen Zheng, Shun Mao, Kai Chen, Yuncheng Jiang:
EGANKT: Enhancing Graph-Attention Networks for Knowledge Tracing by Predicting Concepts and Abilities. 1902-1908 - Chengjie Zheng, Tewodros Mulugeta Dagnew, Liuyue Yang, Wei Ding, Shiqian Shen, Changning Wang, Ping Chen:
Animal-JEPA: Advancing Animal Behavior Studies Through Joint Embedding Predictive Architecture in Video Analysis. 1909-1918 - Shoutai Zhu, Ziqiang Yuan, Kaiyuan Wang, Yishu Zhang, Wenqi Wei:
Enhancing Financial Reasoning in Large Language Models: The Role of Gold Facts. 1919-1928 - Manuel Blaser, Wesley Porter, Luke Fuhrer, Thirimachos Bourlai:
YOLOv10 Computer Vision Performance Measurement for Agricultural Vacuum Seed Meters. 1929-1936 - Charalampos Chelmis, Mahsa Azarshab, Khandker Sadia Rahman, Mehrdad Mirpourian:
Reject Inference as a Noisy Label Detection and Counterfactual Correction Task. 1937-1942 - Yuzhou Chen, Joel Chacón Castillo, Huikyo Lee, Yulia R. Gel:
Firecast Zigzag Convolutional Network for Wildfire Prediction. 1943-1949 - Wendan Cheng, Zhen Zhang, Heng Qian, Qiuyue Wang, Guanqun Su, Lingge Meng:
Construction and Application of the SMART Model for Adaptive Industrial Data Collection Based on Knowledge Graphs. 1950-1955 - Yoonhyuk Choi, Reepal Shah, John Sabo, Huan Liu, K. Selçuk Candan:
Prioritizing Potential Wetland Areas via Region-to-Region Knowledge Transfer and Adaptive Propagation. 1956-1963 - Yutao Du, Qin Li, Raghav Gnanasambandam, Mengnan Du, Haimin Wang, Bo Shen:
Global-local Fourier Neural Operator for Accelerating Coronal Magnetic Field Model. 1964-1971 - Chongyu He, Zhiwu Xie, Yinlin Chen, Edward A. Fox:
Nuclear Pore Segmentation in 3D FIB-SEM Images with Dynamic Cyclical Data Augmentation. 1972-1977 - Luwen Huang, Karen E. Willcox:
Educational Digital Twin: Tackling Complexity in Educational Big Data. 1978-1985 - Beatrice Insalata, Fabian Schmidt, Vladimir Vlassov:
Multimodal survival prediction using TabTransformer and BioClinicalBERT on MIMIC-III. 1986-1992 - Raghu Katikeri, Sai Phaniraja, Sai Pratheek, Rajvi Desai, Amit Vaid, Neelesh K. Shukla, Sandeep Jain:
T2I-RISE: Text-to-Insights with Reinforcement learning, Integration of Semantic layers and Enrichment - A Comprehensive Approach with Conversational Context and Feedback Systems. 1993-1998 - Raghu Katikeri, Alok Nook Raj Pepakayala, Lokesh Kuncham, Rachita Barla, Kasula Tarun, Sai Charan, Amit Vaid:
EVOLVE: Evaluation of Language-to-SQL Validity and Effectiveness - A Detailed Review Framework for Complex Text-to-SQL Queries. 1999-2004 - Lutfun Nahar, Md. Saiful Islam, Mohammad Awrangjeb, Rob Verhoeve:
Edge Grading in Trading Cards Using Transfer Learning: Methods, Experiments, and Evaluation. 2005-2012 - Dharmendra Prajapat, Durga Toshniwal:
Improving Multi-Domain Task-Oriented Dialogue System with Offline Reinforcement Learning. 2013-2018 - Samira Alkaee Taleghan, Morteza Karimzadeh, Andrew P. Barrett, Walter N. Meier, Farnoush Banaei Kashani:
Semi-Supervised Multi-Source Sea Ice Classification in Small-Data Regime. 2019-2026 - Minghui Tan, Kar Way Tan, Hoong Chuin Lau:
A Data-Driven Approach for Automated Multi-Site Competitive Facility Location. 2027-2032 - Jiabin Wei:
Commercial Space Classification and Prediction with Machine Learning and Multiple Data Sources: A Case Study of Milan. 2033-2040 - Jinlin Wu, Xusheng Liang, Xuexue Bai, Zhen Chen:
SurgBox: Agent-Driven Operating Room Sandbox with Surgery Copilot. 2041-2048 - Zihao Xu, Peter Nordström, Sina Sheikholeslami, Ahmad Al-Shishtawy, Vladimir Vlassov:
A Semi-Supervised Model for Non-Cellular Elements Segmentation in Microscopy Images of Wood. 2049-2056 - Austin Yunker, Jason Luce, John C. Roeske, Rajkumar Kettimuthu, Hyejoo Kang, Sebastien Gros, Alec M. Block:
Noise2Inverse for 3D Low-Dose Cone-Beam Computed Tomography. 2057-2064 - Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho:
Uncertainty-Aware Influence Maximization: Enhancing Propagation in Competitive Social Networks with Subjective Logic. 2065-2071 - Hannah Collier, Eric Enright, Sujata Goswami, Chirag Shah, Maggie Davis, Rachael Isphording:
Machine Learning (ML) Classifier to Assist Metadata Creation. 2072-2079 - Iain J. Cruickshank, Lynnette Hui Xian Ng, Amir Soofi:
DIVERSE: A Dataset of YouTube Video Comment Stances with a Data Programming Model. 2080-2089 - Angel Daruna, Vasily Zadorozhnyy, Georgina Lukoczki, Han-Pang Chiu:
Enabling Scalable Mineral Exploration: Self-Supervision and Explainability. 2090-2099 - Haozheng Fan, Hao Zhou, Guangtai Huang, Parameswaran Raman, Xinwei Fu, Gaurav Gupta, Dhananjay Ram, Yida Wang, Jun Huan:
HLAT: High-quality Large Language Model Pre-trained on AWS Trainium. 2100-2109 - David Farr, Nico Manzonelli, Iain Cruickshank, Kate Starbird, Jevin West:
LLM Chain Ensembles for Scalable and Accurate Data Annotation. 2110-2118 - Nathaniel Huber-Fliflet, Jianping Zhang, Peter Gronvall, Fusheng Wei, Philip Spinelli:
Experimental Study of In-Context Learning for Text Classification and Its Application to Legal Document Review in Construction Delay Disputes. 2119-2125 - Shinhoon Kim, Vishnu Raghupathy, Yongkang Liu, Keisuke Niimi, Takahiro Mochihara:
End-to-End Trip Energy Predictions Developed from Real-World Driving Data using Recurrent Neural Networks. 2126-2135 - Han Kyul Kim, Andy Skumanich:
Active Learning for Practical Misinformation Classification in Social Media: a Case Study on COVID-19. 2136-2141 - Abigail Langbridge, Fearghal O'Donncha, James T. Rayfield, Bradley Eck:
Optimal Transport for Efficient, Unsupervised Anomaly Detection on Industrial Data. 2142-2151 - Sangkeun Matthew Lee, Avishek Bose, Narayan Bhusal, Supriya Chinthavali:
Capturing Infrastructure Interdependencies for Power Outages Prediction During Extreme Events. 2152-2161 - Xiaohan Li, Zezhong Fan, Luyi Ma, Kaushiki Nag, Kannan Achan:
Multi-task Recommendation in Marketplace via Knowledge Attentive Graph Convolutional Network with Adaptive Contrastive Learning. 2162-2169 - Guanyu Lu, Xiang Lin, Martin Pavlovski, Xinyu Zhang, Fang Zhou:
Targeted Detection of Anomalous Merchants on Integrated Payment Platforms via Multifaceted Transaction Representation Learning. 2170-2178 - Kiran Madhusudhanan, Gunnar Behrens, Maximilian Stubbemann, Lars Schmidt-Thieme:
ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing. 2179-2187 - Siti Mariyah, Wayne Wobcke:
WeightedMMoE: Weighted Multi-Gate Mixture-of-Experts for Multi-Source Unsupervised Domain Adaptation. 2188-2196 - Paul Okafor, Zahed Siddique, Talayeh Razzaghi:
Monitoring Recombinant Protein Titer in Escherichia Coli Fermentations Using Filtering Techniques. 2197-2203 - Bhavtosh Rath, Pushkar Chennu, David Relyea, Prathyusha Kanmanth Reddy, Amit Pande:
GRAINRec: Graph and Attention Integrated Approach for Real-Time Session-Based Item Recommendations. 2204-2213 - Atam Prakash Agrawal, Anant Mittal, Shivangi Srivastava, Michael Brevard, Valentin Moskovich, Mosharaf Chowdhury:
INFA-FinOps for Cloud Data Integration. 2214-2223 - Anika Tabassum, Srikanth Allu, Ramakrishnan Kannan, Nikhil Muralidhar:
Counter Data Paucity through Adversarial Invariance Encoding: A Case Study on Modeling Battery Thermal Runaway. 2224-2233 - David Wood, Boris Lublinsky, Alexy Roytman, Shivdeep Singh, Constantin Adam, Abdulhamid Adebayo, Sungeun An, Yuan Chi Chang, Xuan-Hong Dang, Nirmit Desai, Michele Dolfi, Hajar Emami-Gohari, Revital Eres, Takuya Goto, Dhiraj Joshi, Yan Koyfman, Mohammad Nassar, Hima Patel, Paramesvaran Selvam, S. Yousaf Shah, Saptha Surendran, Daiki Tsuzuku, Petros Zerfos, Shahrokh Daijavad:
Data-Prep-Kit: getting your data ready for LLM application development. 2234-2243 - Lulu Xie, Yancheng Wang, Hong Guan, Soham Nag, Rajeev Goel, Niranjan Erappa Narayana Swamy, Yingzhen Yang, Chaowei Xiao, Jonathan Prisby, Ross Maciejewski, Jia Zou:
IDNet: A Novel Identity Document Dataset via Few-Shot and Quality-Driven Synthetic Data Generation. 2244-2253 - Olivia Zhang, Brianna Grissom, Julian Pulido, Kenia Munoz-Ordaz, Jonathan He, Mostafa Cham, Haotong Jing, Weikang Qian, Yixin Wen, Jianwu Wang:
Accurate and Interpretable Radar Quantitative Precipitation Estimation with Symbolic Regression. 2254-2263 - Kamilia Ahmadi, Arjun Gathwala, Jason Osajima, David Hsiao, Puja Das:
SLLIM-Rank: A Multi-Stage Item-to-Item Recommendation Model using Learning-to-Rank. 2264-2268 - Renon Ando, Yuji Kawamata, Toshihiko Takeda, Yukihiko Okada:
An explainable framework based on counterfactual explanations for multi-class financial distress prediction of small and medium enterprises. 2269-2274 - Nahid Anwar, Amit Jain, Edoardo Serra, Chad Houck:
Detecting Fraud in a Large Anonymized Voter Registration Dataset. 2275-2282 - Amadou Ba:
Future Workload and Cloud Resource Usage: Insights from an Interpretable Forecasting Model. 2283-2287 - Uday Chandra Bhookya, Kunal Jethuri, Sanjeeva Rayudu Ravuru, Priyadarshi, Maitreya Natu:
Addressing Spend Leakage and Optimization of Cloud Costs. 2288-2293 - Makini Chisolm-Straker, Lav R. Varshney:
Leveraging Privacy-Enhancing Technology to Better Serve the United States' Public. 2294-2296 - Simone D'Amico, Alessia De Santo, Fabio Mercorio, Mario Mezzanzanica:
Enriching Skill Taxonomies through Vector Space Models. 2297-2302 - Arghya Kusum Das, M. Oguzhan Külekci, Sharma V. Thankachan:
Efficient Encodings for Privacy-Preserving Data Storage and Transmission. 2303-2306 - Bora Edizel, Sri Haindavi Koppuravuri, Mark Gannaway, Puja Das, Kamilia Ahmadi:
Harnessing the Power of Graph Neural Networks for Personalized Rail Recommendations. 2307-2313 - Jeffrey Fairbanks, Edoardo Serra:
Generating Phishing Attacks and Novel Detection Algorithms in the Era of Large Language Models. 2314-2319 - Sujata Goswami, Kyle Dumas, Wade Darnell, Varsile Tudor Garbulet, Michael Giansiracusa, Giri Prakash:
Data Workbench For Earth and Atmospheric Science Research Community. 2320-2325 - Masatoshi Hanai, Ryo Ishikawa, Mitsuaki Kawamura, Masato Ohnishi, Norio Takenaka, Kou Nakamura, Daiju Matsumura, Seiji Fujikawa, Hiroki Sakamoto, Yukinori Ochiai, Tetsuo Okane, Shin-Ichiro Kuroki, Atsuo Yamada, Toyotaro Suzumura, Kenjiro Taura, Yoshio Mita, Naoya Shibata, Yuichi Ikuhara:
ARIM-mdx Data System: Towards a Nationwide Data Platform for Materials Science. 2326-2333 - Md. Ahsanul Kabir, Kareem Abdelfatah, Shushan He, Mohammed Korayem, Mohammad Al Hasan:
Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs. 2334-2339 - Haoyuan Li, Salman Toor:
Empowering Data Mesh with Federated Learning. 2340-2342 - Chen Luo, Xianfeng Tang, Hanqing Lu, Yaochen Xie, Hui Liu, Zhenwei Dai, Limeng Cui, Ashutosh Joshi, Sreyashi Nag, Yang Li, Zhen Li, Rahul Goutam, Jiliang Tang, Haiyang Zhang, Qi He:
Exploring Query Understanding for Amazon Product Search. 2343-2348 - Shravika Mittal, Kanak Mahadik, Ryan A. Rossi, Sungchul Kim, Handong Zhao:
GPURank: A Cloud GPU Instance Recommendation System. 2349-2354 - Miftahul Jannat Mokarrama, Abdul Rahman Shaikh, Hamed Alhoori:
Examining the Representation of Youth in the US Policy Documents through the Lens of Research. 2355-2359 - Ryoki Motai, Sota Mashiko, Masato Kamebuchi, Sora Watanabe, Ryo Matsumoto, Yukihiko Okada:
Practical Experiment of Predicting Cash Flows with LSTM and Double-entry Bookkeeping Data. 2360-2364 - Linsey Pang, Amir Hossein Raffiee, Wei Liu, Keld Lundgaard:
Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings. 2365-2369 - Tarek Seghair, Olfa Besbes, Takoua Abdellatif, Sami Bihiri:
VQ-VGAE: Vector Quantized Variational Graph Auto-Encoder for Unsupervised Anomaly Detection. 2370-2375 - Zhe Wang, Mohammad A. Tayebi:
AutoRed: Automated Attack Scenario Generation Framework for Red Teaming of LLMs. 2376-2383 - Hongzhi Wang, Tanveer F. Syeda-Mahmood:
Vector Quantization with Sorting Transformation. 2384-2389 - Qixin Wang, Xintao Wu, Kan Yao, Han Li:
Content-Aware Deep Learning Recommender System. 2390-2393 - Raquib Bin Yousuf, Shengzhe Xu, Patrick Butler, Brian Mayer, Nathan Self, David Mares, Naren Ramakrishnan:
Forecasting Migration Patterns and Land Border Encounters. 2394-2399 - Bipasha Banerjee, William A. Ingram, Edward A. Fox:
Automating Chapter-Level Classification for Electronic Theses and Dissertations. 2400-2409 - Jhon G. Botello, Lesley Frew, Jose J. Padilla, Michele C. Weigle:
Exploring Large Language Models for Analyzing Changes in Web Archive Content: A Retrieval-Augmented Generation Approach. 2410-2418 - Rajesh Kumar Gnanasekaran, Lori A. Perine, Mark Conrad, Richard Marciano:
Model Selection for HERITAGE-AI: Evaluating LLMs for Contextual Data Analysis of Maryland's Domestic Traffic Ads (1824-1864). 2419-2430 - Gregory N. Jansen:
Sifting US Census Records with Computer Vision and Machine Learning. 2431-2439 - Victoria L. Lemieux, Richard Arias-Hernández:
Training in Computational Archival Science: Do CAS Educational Frameworks meet Professional Expectations? 2440-2448 - Andrea Linxen, Vera-Maria Schmidt, Harald Klinke, Christian Beecks:
Ontology-driven knowledge base for digital humanities: Restructuring knowledge organization at the library of the Folkwang University of the Arts. 2449-2455 - Kelley Lynch, Bohan Jiang, Ben Lambright, Kyeongmin Rim, James Pustejovsky:
Video Content Summarization with Large Language-Vision Models. 2456-2463 - Sara Mannheimer, Jason A. Clark, Scott W. H. Young, Bonnie Sheehey, Natalie Bond, Doralyn Rossmann, Hannah Scates Kettler, Yasmeen Shorish:
An Ethical Reflection Aid for Responsible AI in Computational Archival Science. 2464-2469 - Aurèle Nicolet, Basma Makhlouf Shabou:
Computational Archival Processes & Assessable Sustainability: Challenges and Opportunities. 2470-2478 - Giulia Osti, Elizabeth Russey Roke:
Collaborating for Change? Assessing Metadata Inclusivity in Digital Collections with Large Language Models (LLMs). 2479-2488 - Joel Pepper, Elizabeth Jones, Xintong Zhao, Jacob Furst, Kyle Langlois, Fernando J. Uribe-Romo, David E. Breen, Jane Greenberg:
AI-Ready Data: Knowledge Extraction from Archival Lab Notebooks. 2489-2495 - Lori A. Perine:
Historic Black Lives Matter: Recovering Hidden Knowledge in Archives through Interactive Data Visualization. 2496-2505 - Shoon Lei Phyu, Shuhayel Jaman, Murataly Uchkempirov, Parag Kulkarni:
Myanmar Law Cases and Proceedings Retrieval with GraphRAG. 2506-2513 - Jennifer Proctor, Richard Marciano:
A Computational Review of the Literature of Computational Archival Science (CAS): Advancing Archival Theory in the Age of the Digital Tsunami and the Vanishing Box Problem. 2514-2523 - Basma Makhlouf Shabou:
Maturity Assessment of Appraisal Processes in the AI Age: Ongoing Framework and Measuring Method. 2524-2532 - William Underwood, Joan Gage:
Can GPT-4 Think Computationally about Digital Archival Tasks? - Part 2. 2533-2542 - Mariia Vetluzhskikh, Rajesh Kumar Gnanasekaran, Richard Marciano:
Can Generative AI Uncover Hidden Patterns in Historical Domestic Traffic Ads Through Data Analysis? A ChatLoS-DTA Exploration. 2543-2548 - Yuchen Yang:
Beyond Essentials: Nuanced and Diverse Text-to-video Retrieval. 2549-2557 - Khalifa Afane, Wenqi Wei, Ying Mao, Junaid Farooq, Juntao Chen:
Next-Generation Phishing: How LLM Agents Empower Cyber Attackers. 2558-2567 - Ahmet Aksoy, Sundeep Varma:
AI-Driven Genetic Algorithms for Enhanced Numeric Feature Quantization in IoT Device Fingerprinting for Threat Detection. 2568-2574 - Viktor Beck, Max Landauer, Markus Wurzenberger, Florian Skopik, Andreas Rauber:
Semi-supervised Configuration and Optimization of Anomaly Detection Algorithms on Log Data. 2575-2585 - Hugo L. J. Bijmans, M. S. C. van Leuken:
No Time to Choose: Leveraging Internet Scans to Determine IoC Lifetimes. 2586-2595 - Hrushikesh Chunduri, P. Mohan Anand, Sandeep K. Shukla, P. V. Sai Charan:
Trusted Yet Disguised: Analysing the Subversive Role of LOLBins in Contemporary Cyber Threats. 2596-2605 - Mathieu Couillard, Britta Hale:
DRACO: Production Network Deployment and Evaluation of Deceptive Defense As-a-Service. 2606-2615 - Daniel Fischer, Clemens Sauerwein, Marie Liz Sayin, Dirk Stelzer, Ruth Breu:
The Role of Threat Intelligence Sharing Platforms in Companies, Public Authorities, and Universities: Insights from an Exploratory Global Survey. 2616-2623 - Siddhant Gupta, Fred Lu, Andrew Barlow, Edward Raff, Francis Ferraro, Cynthia Matuszek, Charles Nicholas, James Holt:
Living off the Analyst: Harvesting Features from Yara Rules for Malware Detection. 2624-2634 - Aristeidis N. Karras, Leonidas Theodorakopoulos, Christos N. Karras, Hera Antonopoulou:
Cyber Threat Intelligence in Smart Cities: Bayesian Inference and Energy Optimization in LoRa Networks for Big Data Applications. 2635-2644 - Yujin Nam, Rachel King, Quinn Burke, Minxuan Zhou, Patrick D. McDaniel, Tajana Rosing:
Efficient Host Intrusion Detection using Hyperdimensional Computing. 2645-2652 - Samuel Ndichu, Tao Ban, Takeshi Takahashi, Takahiro Kasama:
CIA-EBE: Class Imbalance-Aware Event-Based Embedding for SOC Log Screening. 2653-2662 - Emmanouil Adamakis, Eirini Sykianaki, George Margetis, Stavroula Ntoa, Constantine Stephanidis:
Applying visual analytics to firearms trafficking trails for the extraction of strategic intelligence. 2663-2671 - Theodora Anastasiou, Ioannis Pastellas, Sophia Karagiorgou:
Adversarial Explanations for Informed Civilian and Environmental Protection. 2672-2681 - Dimitrios Christos Asimopoulos, Panagiotis I. Radoglou-Grammatikis, Thomas Lagkas, Vasileios Argyriou, Ioannis D. Moscholios, Jorgen Cani, Georgios Th. Papadopoulos, Evangelos K. Markakis, Panagiotis G. Sarigiannidis:
AAG: Adversarial Attack Generator for evaluating the robustness of Machine Learning Models against Adversarial Attacks. 2682-2689 - Georgios Benos, Konstantinos Koutsoukos, Chrysostomos Symvoulidis, Dimitrios Drakoulis:
Enhancing International Security: A Secure Biometric Data Sharing Framework for Effective Cross-Border Crime and Terrorism Prevention. 2690-2696 - Jorgen Cani, Ioannis Mademlis, Marina Mancuso, Caterina Paternoster, Emmanouil Adamakis, George Margetis, Sylvie Chambon, Alain Crouzil, Loubna Lechelek, Georgia Dede, Spyridon Evangelatos, George Lalas, Franck Mignet, Pantelis Linardatos, Konstantinos Kentrotis, Henryk Gierszal, Piotr Tyczka, Sophia Karagiorgou, George Pantelis, Georgios Stavropoulos, Konstantinos Votis, Georgios Th. Papadopoulos:
CEASEFIRE: An AI-Powered System for Combating Illicit Firearms Trafficking. 2697-2705 - Rodger Van Der Heijden, Ellen Mans, Tim Jongenelen, Claudia Zucca, Giuseppe Cascavilla:
Extremist discourse on alt-right sub-reddit: An Inferential Network Analysis Approach. 2706-2713 - Wei Dai, Yash Pratap Singh, Rui Zhang:
Multi-agent Simulation for Mass School Shootings. 2714-2723 - Rohit P. Singh, Nicholas O. Malott, Philip A. Wilsey:
Piecewise Computation of Persistent Homology. 2721-2730 - Wei Dai, Rui Zhang, Diya Kafle:
Analyzing Mass School Shootings in the U.S. from 2019 to 2024 with Machine Learning. 2724-2732 - Tanvir Hossain, Esra Akbas, Anthony E. Lemieux, Virginia Massignan:
Understanding Online Platform Usage of Extremist Groups via Graph Analytics. 2733-2742 - Anastasia Kassiani Blitsi, Eleftheria Katsoura, Georgios Stavropoulos, Konstantinos Votis:
Uncovering Illegal Firearm Transactions in Cryptocurrency Networks. 2743-2752 - Panagiotis Koletsis, Panagiotis-Konstantinos Gemos, Christos Chronis, Iraklis Varlamis, Vasilis Efthymiou, Georgios Th. Papadopoulos:
Entity Extraction from High-Level Corruption Schemes via Large Language Models. 2753-2761 - Katerina Kyriakou, Apostolos Apostolaras, Polychronis Velentzas, Georgios Benos, Konstantinos Koutsoukos, Chrysostomos Symvoulidis, Kaitai Liang, Zeshun Shi, Asterios Leonidis, Kyriaki Miniadou, Eleni Veroni, Spyridon Evangelatos, Georgios Th. Papadopoulos, Thanasis Korakis:
A Secure and Trustworthy Biometric Data Ecosystem for Cross-border Suspect Identification. 2762-2771 - Lukas Lundmark, Lisa Kaati, Amendra Shrestha:
Visions of Violence : Threatful Communication in Incel Communities. 2772-2778 - Charalampos Marantos, Spyridon Evangelatos, Eleni Veroni, George Lalas, Konstantinos Chasapas, Ioannis T. Christou, Pantelis Lappas:
Leveraging Large Language Models for Dynamic Scenario Building targeting Enhanced Cyber-threat Detection and Security Training. 2779-2788 - Franck Mignet, Valeriu-Daniel Stanciu, Susanne Plank-Konrad:
Vision Paper: Incorporating Domain Knowledge in Information Retrieval Systems to Streamline Incident Investigation. 2789-2793 - Kyriaki Miniadou, Asterios Leonidis, Georgios Th. Papadopoulos, Constantine Stephanidis:
Encrypted Biometric Search: A Deep Learning Approach to Scalable and Secure Cross-Border Data Exchange. 2794-2800 - Akanksha Pankaj Joshi, Ira Sharma, Sai Milind Nimkar, Yashvi Sanjaykumar Desai, Mahima Agumbe Suresh:
HotelWatch: A Hotel Identification System to Combat Human Trafficking. 2801-2810 - Dimitra Papatsaroucha, Nikolaos Astyrakakis, Evangelos Pallis, Panagiotis I. Radoglou-Grammatikis, Panagiotis G. Sarigiannidis, Evangelos K. Markakis:
A Cloud-Based Key Rolling Technique for Alleviating Join Procedure Replay Attacks in LoRaWAN-based Wireless Sensor Networks. 2811-2820 - Chaido Porlou, Maria Makrynioti, Anastasios Alexiadis, Georgios Stavropoulos, George Pantelis, Konstantinos Votis, Dimitrios Tzovaras:
Optimizing an LLM Prompt for Accurate Data Extraction from Firearm-Related Listings in Dark Web Marketplaces. 2821-2830 - Chaido Porlou, Maria Makrynioti, Georgios Stavropoulos, Konstantinos Votis:
Vision Paper: Addressing the Threat of 3D Printing Firearm Files with Data-Driven Strategies. 2831-2835 - Artemis Stefanidou, Jorgen Cani, Thomas Papadopoulos, Panagiotis I. Radoglou-Grammatikis, Panagiotis G. Sarigiannidis, Iraklis Varlamis, Georgios Th. Papadopoulos:
Leveraging Digital Twin Technologies for Public Space Protection and Vulnerability Assessment. 2836-2845 - Mikolaj Wysocki, Henryk Gierszal, Piotr Tyczka, George Pantelis, Sophia Karagiorgou:
Benchmarking of Different YOLO Models for CAPTCHAs Detection and Classification. 2846-2854 - Kamal Acharya, Mehul Lad, Liang Sun, Houbing Song:
Demand Modeling for Advanced Air Mobility. 2855-2863 - Bekti Widhy Andhana, Irene Erlyn Wina Rachmawan, Prananda Kamaluddin Rafif, Ferrizal:
Data-Driven Optimization of Taxi Parking Spaces for Strategic Demand Alignment. 2864-2869 - Fabian Fingerhut, Elena Tsiporkova, Veselka Boeva:
Interpretable Data-Driven Risk Assessment in Support of Predictive Maintenance of a Large Portfolio of Industrial Vehicles. 2870-2879 - Yasir Hassan, Austin Harris, Mina Sartipi:
Smart Corridor+: A Testbed-As-A-Service for Intelligent Transportation Research. 2880-2887 - Juliana Hildebrandt, Dirk Habich, Wolfgang Lehner:
[Vision Paper] Digital Twin System - From Frameworks to a Comprehensive System. 2888-2897 - Seyedmehdi Khaleghian, Thanh-Nam Doan, Joe Knox, Mina Sartipi:
Rethinking Embedding Vectors for Electric Vehicle Charging Stations: An Empirical Study. 2898-2907 - Mehul Lad, Kamal Acharya, Liang Sun, Houbing Song:
Enhancing Forecasting for Advanced Air Mobility. 2908-2913 - Jiayu Wang, Jiechao Gao:
Federated Learning with Knowledge Distillation to Mitigate Catastrophic Forgetting and Data Heterogeneity in IoV Systems. 2914-2923 - Chen Wang, Huawei Wei:
Dynamic Memory Derived Graph learning for Spatio-Temporal Metro Flow Prediction. 2924-2931 - Dominik Zurek, Marcin Pietron, Szymon Piórkowski, Michal Karwatowski, Kamil Faber:
RLEM: Deep Reinforcement Learning Ensemble Method for Aircraft Recovery Problem. 2932-2938 - Luke Gassmann, Ryan McConville, Matthew Edwards:
Leading the Mastodon Herd: Analysing the Traits of Influential Leaders on a Decentralised Social Media Platform. 2939-2948 - June Moh Goo:
Data-Driven Socio-Economic Deprivation Prediction via Dimensionality Reduction: The Power of Diffusion Maps. 2949-2957 - Dalton J. Hazelwood, Deepti Joshi, Ashok Samal, Leen-Kiat Soh:
Discovering Localized Drivers of Unrest Events using Clustering and XGBoost. 2958-2966 - Shiori Hironaka, Mitsuo Yoshida, Kazuyuki Shudo:
Comparing User Activity on X and Mastodon. 2967-2972 - M. Fahad Khalid, Usman Muhammad, R. Saugmann Andersen, Mourad Oussalah:
Public Sentiment on Security Cameras. 2973-2982 - Dongwoo Lim, Fujio Toriumi, Mikihito Tanaka:
Revealing Patterns in Artificial Earthquake Misinformation: Detecting Stubborn Conspiracy Adherents through Social Media Analysis in Japan. 2983-2988 - Takashi Mitadera, Takehito Utsuro:
CoT based Few-Shot Learning of Negative Comments Filtering. 2989-2998 - Sho Miyakawa, Takehito Utsuro:
Emotion Classification of Lyrics through Summarization by Large Language Models. 2999-3006 - Hibiki Nakamura:
Exploring YouTube's Role in Shaping Political Discourse: A Case Study of the 2024 Tokyo Gubernatorial Election. 3007-3016 - Tomoka Nakazato, Masaki Onishi, Hisami Suzuki, Yuya Shibuya:
JSocialFact: a Misinformation dataset from Social Media for Benchmarking LLM Safety. 3017-3025 - Koki Noda, Tomoki Fukuma, Toshihide Ubukata, Yoshiharu Ichikawa, Kyosuke Kambe, Yu Masubuchi, Fujio Toriumi:
Polarization Prism: Facilitating Diverse Viewpoint Reflection by Mining Unseen Perspectives in Social Media Polarization. 3026-3033 - Shigenori Ohashi, Noritaka Maeda, Jay Kishigami:
An Analysis of the Relationship between Online Social Capital and Social Media Experiences. 3034-3041 - Koki Ota, Fujio Toriumi:
Comparative Evaluation of Network-Based and NLP-based Methods for Detecting Conspiracy Theory Communities on YouTube. 3042-3050 - Leonardo Di Perna, Matteo Bianchi, Matteo Matteucci, Marco Brambilla:
Unveiling Real-World Company Hidden Communication Patterns: Comparing Informal Large-Scale Email Network and Formal Structure. 3051-3060 - Lorenz Sparrenberg, Tobias Schneider, Tobias Deußer, Markus Koppenborg, Rafet Sifa:
Correcting Systematic Bias in LLM-Generated Dialogues Using Big Five Personality Traits. 3061-3069 - Smitha Muthya Sudheendra, Maral Abdollahi, Dongyeop Kang, Jisu Huh, Jaideep Srivastava:
Skepticism and Sentiment Analysis to Understand Consumer Perception of Virtual Influencers in Social Media Advertising. 3070-3074 - Reham Al Tamime, Markus Strohmaier, Ingmar Weber:
Exploring Global Gender Gaps in the Blockchain Domain: Insights from LinkedIn Advertising Data. 3075-3081 - Koutarou Tamura, Yukie Sano, Junichi Shiozaki:
Quantifying Collective Emotions: Japan's Societal Trends Through Enhanced Sentiment Index Using POMS2 and SNS. 3082-3087 - Yuuri Tanaka, Yasuhiro Hashimoto:
Narrative Simplification in Human and AI Retelling. 3088-3094 - Zeyu Wu, Yuuki Nishiyama, Yuya Shibuya:
The Bidirectional Relationship between Emotional Change and Physical Movement Activities: An Analysis Using Propensity Score Matching Methods. 3095-3104 - Thanathip Chumthong, Kulsawasd Jitkajornwanich, Obada Kraishan, Kerk F. Kee, Akan Narabin:
Leveraging Race Prediction Algorithms to Enhance Team Composition in Big Data Science Teams. 3105-3113 - Yuri Demchenko:
The Importance of System Engineering Competences and Knowledge for Big Data Science and Research Infrastructure Projects. 3114-3123 - Christian Haertel, Daniel Staegemann, Matthias Pohl, Christian Daase, Klaus Turowski:
Toward Improved Knowledge Retention: A Template for Describing Data Science Projects. 3124-3133 - Maike Holtkemper, Christian Beecks:
Empowering Data Science Teams: How Automation Frameworks Address Competency Gaps Across Project Lifecycles. 3134-3142 - Akit Kumar, M. S. Lakshmi Devi, Jeffrey S. Saltz:
GenAI Tools to Improve Data Science Project Outcomes. 3143-3152 - Matthias Pohl, Christian Haertel, Daniel Staegemann, Klaus Turowski:
Categorization of Data Analytics Projects in Smart Manufacturing. 3153-3157 - Benjamin Stubbs, Polina Shpilker, Michael Sayers, Shaun Wallace, Noah M. Daniels, Alva L. Couch:
AnVILMEDFORD: Documenting Cloud-Based Analysis Projects Using the MEDFORD Metadata Language. 3158-3162 - Subhrojyoti Roy Chaudhuri:
AI Assisted Workflow for Set-list Preparation with Loops for Live Musicians. 3163-3167 - Nicole Cosme-Clifford:
Decomposing Audio into Timbral Features with Convolutional Neural Networks. 3168-3173 - Tzu-Ching Hung, Jingjing Tang, Kit Armstrong, Yi-Cheng Lin, Yi-Wen Liu:
EME33: A Dataset of Classical Piano Performances Guided by Expressive Markings with Application in Music Rendering. 3174-3180 - Tornike Karchkhadze, Keren Shao, Shlomo Dubnov:
Interpreting Graphic Notation with MusicLDM: An AI Improvisation of Cornelius Cardew's Treatise. 3181-3190 - Callie C. Liao, Duoduo Liao, Ellie L. Zhang:
Relationships between Keywords and Strong Beats in Lyrical Music. 3191-3199 - Hyeseong Park, Myung Won Raymond Jung, Sanjarbek Rakhmonov, Sngon Kim:
Ourmuse: Plot-Specific AI Music Generation for Video Advertising. 3200-3203 - Megha Sharma, Muhammad Taimoor Haseeb, Gus Xia, Yoshimasa Tsuruoka:
Musical Scene Detection in Comics: Comparing Perception of Humans and GPT-4. 3204-3207 - Elona Shatri, Kalikidhar Reddy Palavala, György Fazekas:
Synthesising Handwritten Music with GANs: A Comprehensive Evaluation of CycleWGAN, ProGAN, and DCGAN. 3208-3217 - Tsubasa Tanaka:
Integrating Machine Learning and Rule-Based Approaches in Symbolic Music Generation. 3218-3223 - Shu Wang, Shiwei Liu:
Sparse Sounds: Exploring Low-Dimensionality in Music Generation Model. 3224-3234 - Xinyang Wu, Andrew Horner:
Graph Neural Network Guided Music Mashup Generation. 3235-3241 - Xinyang Wu, Andrew Horner:
Diffusion Models for Automatic Music Mixing. 3242-3247 - Abdelmadjid Chergui, Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier:
MixMAS: A Framework for Sampling-Based Mixer Architecture Search for Multimodal Fusion and Learning. 3254-3257 - Viraj Nishesh Darji, Callie C. Liao, Duoduo Liao:
Automated Interpretation of Non-Destructive Evaluation Contour Maps Using Large Language Models for Bridge Condition Assessment. 3258-3263 - Sai Surya Gadiraju, Duoduo Liao, Akhila Kudupudi, Santosh Kasula, Charitha Chalasani:
InfoTech Assistant: A Multimodal Conversational Agent for InfoTechnology Web Portal Queries. 3264-3272 - Stephanie Han, Sebastian Leal-Arenas, Eftim Zdravevski, Charles C. Cavalcante, Zois Boukouvalas, Roberto Corizzo:
Multimodal Deep Learning for Online Meme Classification. 3273-3276 - Nora Lewis, Charles C. Cavalcante, Zois Boukouvalas, Roberto Corizzo:
On the Effectiveness of Text and Image Embeddings in Multimodal Hate Speech Detection. 3277-3281 - Deepthi Pavurala, Duoduo Liao, Chaithra Reddy Pasunuru:
Adaptive Signal Analysis for Automated Subsurface Defect Detection Using Impact Echo in Concrete Slabs. 3282-3291 - Ravi Datta Rachuri, Duoduo Liao, Samhita Sarikonda, Datha Vaishnavi Kondur:
A Multimodal Fusion Framework for Bridge Defect Detection with Cross-Verification. 3292-3300 - Javad Rajabi, Sunday Okechukwu, Ahmad Mousavi, Roberto Corizzo, Charles C. Cavalcante, Zois Boukouvalas:
Event-Based Multi-Modal Fusion for Online Misinformation Detection in High-Impact Events. 3301-3308 - Jake S. Rhodes, Adam G. Rustad:
Random Forest-Supervised Manifold Alignment. 3309-3312 - Norbert Tihanyi, Tamás Bisztray, Richard A. Dubniczky, Rebeka Tóth, Bertalan Borsos, Bilel Cherif, Ridhi Jain, Lajos Muzsai, Mohamed Amine Ferrag, Ryan Marinelli, Lucas C. Cordeiro, Mérouane Debbah, Vasileios Mavroeidis, Audun Jøsang:
Dynamic Intelligence Assessment: Benchmarking LLMs on the Road to AGI with a Focus on Model Confidence. 3313-3321 - Pierre Vanvolsem, Koen Boeckx, Xavier Neyt:
Multimodal Threat Evaluation in Simulated Wargaming Environments. 3322-3328 - Gabriela Alves Werb, Patrick Felka, Lisa Reichenbach, Susanne Walter, Ece Yalcin-Roder:
Geospatial Data and Multimodal Fact-Checking for Validating Company Data. 3329-3332 - Xiaoran Wu, Zien Huang, Chonghan Yu:
Animating the Past: Reconstruct Trilobite via Video Generation. 3333-3342 - John Yang, Alessandro Magnani, Binwei Yang:
Disentangled Prompt Learning for Transferable, Multimodal, Few-Shot Image Classification. 3343-3352 - Wenlong Zhang, Tian Shi, Ping Wang:
Natural Language Querying on NoSQL Databases: Opportunities and Challenges [Vision Paper]. 3353-3357 - Yuan An, Samarth Kolanupaka, Jacob An, Matthew Ma, Unnat Chhatwal, Alex Kalinowski, Michelle Rogers, Brian Smith:
Is the Lecture Engaging? Lecture Sentiment Analysis for Knowledge Graph-Supported Intelligent Lecturing Assistant (ILA) System. 3358-3366 - Alexandria Barghi:
Accelerating Graph Query Languages for Machine Learning and Retrieval Augmented Generation. 3367-3374 - Subbareddy Batreddy, Giridhar Pamisetty, Manish Kothuri, Priya Verma, Ch. Sobhan Babu:
Adaptive Neighborhood Sampling and KAN-Based Edge Features for Enhanced Fraud Detection. 3375-3381 - Subhankar Chattoraj, Karuna Pande Joshi:
MedReg-KG: KnowledgeGraph for Streamlining Medical Device Regulatory Compliance. 3382-3390 - Joseph A. Cottam, Patrick Mackey, Sumit Purohit, George Chin:
Contradictory Ambiguous Revocable Assertion Tracker (CARAT) Encoding. 3391-3400 - Duy H. Ho, Udiptaman Das, Regina Ho, Yugyung Lee:
Leveraging Multi-Agent Systems and Large Language Models for Diabetes Knowledge Graphs. 3401-3410 - Ted Edward Holmberg, Elias Ioup, Mahdi Abdelguerfi:
Knowledge Graph-Based Multi-Agent Path Planning in Dynamic Environments using WAITR. 3411-3420 - Edward Kim, Manil Shrestha, Richard Foty, Tom DeLay, Vicki Seyfert-Margolis:
Structured Extraction of Real World Medical Knowledge using LLMs for Summarization and Search. 3421-3430 - Vladimir Korolev, Anupam Joshi:
Crystalia: Flexible and Efficient Method for Large Dataset Lineage Tracking. 3431-3440 - Tangrui Li, Jun Zhou, Hongzheng Wang:
Aligning Knowledge Graphs Provided by Humans and Generated by Neural Networks. 3441-3447 - Tong Liu, Hadi Meidani:
Supply Chain Network Extraction and Entity Classification Leveraging Large Language Models. 3448-3455 - Yuan Ma, Michelle Dea, Lilian Cao, Munehiro Fukuda:
Toward Implementing an Agent-based Distributed Graph Database System. 3456-3465 - Antor Mahmud, Renata Dividino:
Federated Learning on Knowledge Graph Embeddings via Contrastive Alignment. 3466-3474 - Zhuocheng Mei, Kara Schatz, Nahed Abu Zaid, Rada Chirkova:
Semantics-Aware Path Ranking On Information Extracted from Knowledge Graphs. 3475-3484 - Sumit Purohit, George Chin, Patrick S. Mackey, Joseph A. Cottam:
GraphAide: Advanced Graph-Assisted Query and Reasoning System. 3485-3493 - Diego Russo, Gian Marco Orlando, Antonio Romano, Giuseppe Riccio, Valerio La Gatta, Marco Postiglione, Vincenzo Moscato:
Scaling LLM-Based Knowledge Graph Generation: A Case Study of Italian Geopolitical News. 3494-3497 - Gabriel Machado Santos, Rita Maria da Silva Julia, Marcelo Zanchetta do Nascimento:
K-GBS3FCM - KNN Graph-Based Safe Semi-Supervised Fuzzy C-Means. 3498-3507 - Artem A. Sukhobokov, Artem A. Vetoshkin, Alexandra R. Mironova, Anna C. Zenger, Vitaly Baklikov:
Archigraphs As A Promising Concept For The Development Of Data And Knowledge Storage Systems. 3508-3521 - Nahed Abu Zaid, Kara Schatz, Kimberly Bourne, Darrell Harry, Christine Hendren, Anna-Maria Marshall, Khara Grieger, Jacob Jones, Alexey V. Gulyuk, Yaroslava G. Yingling, Rada Chirkova:
INTEGRATE-KG: A Workflow For Unifying Heterogeneous Data Driven by Shared Languages. 3522-3531 - Bogolu Rupa, Atul Negi:
Scalable SubXPCA with Extended Morphological Profiles Applied to Hyperspectral Image Classification on a Distributed Platform. 3532-3537 - Reet Ghosh, Wamika Jha, Mea Wang, Usman Alim:
ALF: An Automated Low-code Flexible Framework for Data Workflows. 3538-3543 - Luyi Ma, Aashika Padmanabhan, Anjana Ganesh, Shengwei Tang, Jiao Chen, Xiaohan Li, Lalitesh Morishetti, Kaushiki Nag, Malay Patel, Jason H. D. Cho, Sushant Kumar, Kannan Achan:
Improving Sequential Recommender Systems with Online and In-store User Behavior. 3544-3549 - Huber Nieto-Chaupis:
Data Interpretation Driven by Algebra of Time-Dependent Operators. 3550-3555 - Chiara Rucco, Antonella Longo, Motaz Saad:
Optimizing Data Ingestion for Big Data: A Cloud-Based Design Pattern Approach. 3556-3561 - Jacopo Tagliabue, Ryan Curtin, Ciro Greco:
FaaS and Furious: abstractions and differential caching for efficient data pre-processing. 3562-3567 - Chen-Wei Chang, Shailik Sarkar, Shutonu Mitra, Qi Zhang, Hossein Salemi, Hemant Purohit, Fengxiu Zhang, Michin Hong, Jin-Hee Cho, Chang-Tien Lu:
Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance. 3568-3571 - Abhijeet Dhali, Renata Dividino:
The Power of Many: Investigating Defense Mechanisms for Resilient Graph Neural Networks. 3572-3578 - Brennan Lodge:
RAGe Against the Machine with BERT for Proactive Cybersecurity Posture. 3579-3588 - Sonali Singh, Akbar Siami Namin:
Adversarial Training of Retrieval Augmented Generation to Generate Believable Fake News. 3589-3598 - Venkata Sai Prathyush Turaga, Akbar Siami Namin:
An Information Reliability Framework for Detecting Misinformation based on Large Language Models. 3599-3608 - Wanghu Chen, Yihua Luo, Long Li, Jing Li:
PV-DETR: A Multimodal Fault Detection Model of PV Arrays based on Parallel Block Attention. 3609-3615 - Xiangyu Meng, Tianming Du, Zihao Wang, Shuai Ye, Shuaiyi Tian, Kunyang Teng, Marcin Grzegorzek, Tao Jiang, Hongzan Sun, Chen Li:
PRS-Net: A Few-shot Network for Perirenal Fat and Renal Parenchyma Semantic Segmentation. 3616-3623 - Tongxuan Ouyang, Yu Chen, Yan Wang, Ying Xie, Haotian Li, Min Zhao:
Exploring the mechanism of adjustment formula related to Siwu Decoction in the treatment of polycystic ovary syndrome based on network pharmacology. 3624-3631 - Zihao Wang, Zhengwei Zhai, Tianming Du, Shuai Ye, Tao Jiang, Marcin Grzegorzek, Hongzan Sun, Chen Li:
An Infrared and Visible Image based Low-cost Tool for Metabolic Syndrome Monitoring. 3632-3639 - Jin Yuan, Xiangchen Wu, Changzhong Li, Hongzan Sun, Tao Jiang, Marcin Grzegorzek, Chen Li:
FSL-DSC: A Hybrid Pap Smear Cervical Cancer Image Classification Framework Using Few-shot Learning with Depthwise Separable Convolutions. 3640-3647 - Soeren Becker, Robin Goegge, Odej Kao:
Measuring Application Interference With System-Level Instrumentation. 3648-3653 - Kevin Exton, Maria Read:
A Model for Data Processing on Warehouse-Scale Computers. 3654-3663 - Maurice Günder, Sneha Banerjee, Rafet Sifa, Christian Bauckhage:
Model-agnostic Body Part Relevance Assessment for Pedestrian Detection Model Benchmarking. 3664-3673 - Luanzheng Guo, Meng Tang, Hyungro Lee, Jesun Firoz, Nathan R. Tallent:
Improving I/O-aware Workflow Scheduling via Data Flow Characterization and trade-off Analysis. 3674-3681 - Yuchen He, Xiangfeng Wang:
Masked Autoencoders are Parameter-Efficient Federated Continual Learners. 3682-3691 - Yuchen He, Chuyun Shen, Xiangfeng Wang, Bo Jin:
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework. 3692-3701 - Stuart Jamieson, Matthew Forshaw:
Reasoning Over Streaming System Performance Using Response Surface Methodology. 3702-3711 - Wojciech Macyna, Carlos Ordonez:
A Bloom Filter Hierarchy for Non-key Search in Key-Value Stores. 3712-3719 - Seraj Al Mahmud Mostafa, Jinbo Wang, Benjamin Holt, Jianwu Wang:
YOLO based Ocean Eddy Localization with AWS SageMaker. 3720-3728 - Rahul Mundlamuri, Hassan Siddiqi, Sohail Wadera:
Performance of Data Model over Computational Power in CDP Platforms. 3729-3734 - Minh-Tri Nguyen, Anh-Dung Nguyen, Jarno Rantaharju, Touko Puro, Matthias Rheinhardt, Maarit J. Korpi-Lagg, Hong Linh Truong:
Supporting Opportunistic Data Operations for Data-Intensive Computational Applications. 3735-3744 - Oliver Nief, Justus Henneberg, Felix Schuhknecht:
The Gather Join: Efficiently Aligning Atmospheric Datasets in Apache Spark. 3745-3754 - Aditi Saha, Mohammad Ashiqur Rahman, Fan Wu:
Groundwater Level Prediction: Analyzing the Performance of LSTM and QLSTM Model. 3755-3763 - Naw Safrin Sattar, Abigail Kapocius, Hao Lu, Mahantesh Halappanavar, Feiyi Wang:
Exploring the Landscape of Distributed Graph Clustering on Leadership Supercomputers. 3764-3773 - Dominik Scheinert, Alexander Guttenberger, Jonathan Will, Odej Kao:
Challenges and Future Directions in Similarity Assessment of Big Data Analytics Workloads. 3774-3779 - Taieba Tasnim, Mohammad Rahman, Fan Wu:
Comparison of CNN and QCNN Performance in Binary Classification of Breast Cancer Histopathological Images. 3780-3787 - Georgios Theodorou, Sophia Karagiorgou, Christos Kotronis:
On Energy-aware and Verifiable Benchmarking of Big Data Processing targeting AI Pipelines. 3788-3798 - Gaurav Vaghasiya, Shiva Jahangiri:
A Hybrid Approach to Group-By and Aggregation Query Execution. 3799-3808 - Masoumeh Vahedi, Henning Christiansen:
Interval cracking and its application to databases of complex geometries. 3809-3814 - Yicheng Wang, Mark Cusick, Mohamed Laila, Kate Puech, Zhengping Ji, Xia Hu, Michael Wilson, Noah Spitzer-Williams, Bryan Wheeler, Yasser Ibrahim:
FairLENS: Assessing Fairness in Law Enforcement Speech Recognition. 3815-3824 - Jonathan Will, Nico Treide, Lauritz Thamsen, Odej Kao:
Experimentally Evaluating the Resource Efficiency of Big Data Autoscaling. 3825-3830 - Juyoung Yun:
Mitigating Gradient Overlap in Deep Residual Networks with Gradient Normalization for Improved Non-Convex Optimization. 3831-3837 - Hiroyasu Ando, Nobuhito Kon, Morimitsu Kurino, Isamu Takahara:
Coordinating Electric Vehicles: Impacts on Mobility-Service and Electricity Markets. 3838-3846 - Toshiyuki Hirai, Naoki Watanabe:
vNM Stable Sets and Aumann-Drèze-Shapley Value in Patent Licensing of Cost-Reducing Technologies: Asymptotic Results in General Cournot Markets. 3847-3853 - Tetsuya Kawamura, Kazuhito Ogawa:
(Vision paper) The effect of cognitive ability on sender behavior in dictator and ultimatum game experiments. 3854-3857 - Ayato Kitadai, Kazuhito Ogawa, Nariaki Nishino:
Examining the Feasibility of Large Language Models as Survey Respondents. 3858-3864 - Takahiro Noguchi, Hiroyasu Ando, Ryunosuke Fukuzaki, Yumi Watahiki, Isamu Takahara:
Reduction of Traffic Congestion by Using Chaotic Traffic Flow in a Scaled Traffic Model. 3865-3870 - Eriko Shigetsugu, Hiroki Sakaji, Itsuki Noda:
Indexing Economic Fluctuation Narratives from Keiki Watchers Survey. 3871-3879 - Yu Takenoya, Ayato Kitadai, Nariaki Nishino:
Accounting for Traffic Congestion: Heterogeneous Target Arrival Times, Uncertainty, and Monetary Incentives. 3880-3888 - Naoki Watanabe:
What Information Hinders or Promotes Subjects' Meaningful Learning in a Bandit Experiment for Weighted Voting?: Mouse Tracking Evidence. 3889-3897 - Francesco Chiumento, Mingming Liu:
Leveraging Multimodal Models for Enhanced Neuroimaging Diagnostics in Alzheimer's Disease. 3898-3907 - Tobias Deußer, Abdul Mohsin Siddiqi, Lorenz Sparrenberg, Tobias Adams, Christian Bauckhage, Rafet Sifa:
Fusing Speech and Language Models for Dementia Detection. 3908-3914 - Smriti Kumar:
Strengthening Accuracy of Lung Cancer Diagnosis Through A Novel Multimodal Bayesian Convolutional Neural Network. 3915-3918 - Yue Li, Bo Zhang, Wendong Wang:
Combining GCN Attention and Frequency Domain Analysis for 3D Human Pose Estimation. 3919-3924 - Tianchi Lin, Bo Zhang, Wendong Wang:
A Sample-Mixing Unsupervised Domain Adaptation Framework for Object Detection. 3925-3930 - Rebecca Lopez, Avantika Shrestha, Kevin Hickey, Xingtong Guo, M. L. Tlachac, Shichao Liu, Elke A. Rundensteiner:
Screening Students for Stress Using Fitbit Data. 3931-3934 - A. K. M. Shahariar Azad Rabby, Pratim Saha, Sheikh Abujar, Fuad Rahman:
One Model Multiple Insights: CNNs for Medical Image Classification. 3935-3941 - Jingzhi Yang, Hua Shen, Ziyu Liu, Weilong Wu, Ji Wu, Ming Ni, Huishu Yuan, Xiangling Fu, Miao Li:
Slice-Level Label Attention with Global-Guided Attention Regularization for Multi-Label Classification in Knee MRI Sequences. 3942-3949 - Mengxue Zhan, Bo Zhang, Zheng Zhang, Wendong Wang, Zhen Cui, Nanfang Xu:
A Multi-Scale Collaborative Fusion Network for Joint Organ and Lesion Segmentation. 3950-3955 - Wuyang Li, Hui Li, Qiufan Wu, Han Wang, Weimin Zeng, Yanping Zhang, Xiyu Wang, Ping Lu, Weixiang Huang, Runhuai Huang:
SVP: Enhancing Security and Scalability for Metaverse Blockchain Through Integrating Stake in Voting-based Consensus Protocol. 3956-3964 - Linfeng Li, Hong Chen, Zhijie Qiu, Lei Luo:
Large Language Models in Data Governance: Multi-source Data Tables Merging. 3965-3974 - Shiyong Lu, Junwen Liu, Yong Zhao, Changxin Bai:
Integration of Blockchain Technology in Collaborative Scientific Workflows. 3975-3982 - Sushanth S. Manakhari, Ajinkya P. Jadhav, Twinkle Paraye, Anurag Gate:
Advanced Deadlock Detection and Resolution in Distributed File Systems Using AI and Daemon Processes. 3983-3991 - Hong Tan, Hui Li, Xiaopeng Wang, Weixiang Huang, Runhuai Huang, Shaowen Deng, Jianping Wu:
HL-LSM: A LSM-Tree Combined with Read Hotness and Learned Index. 3992-3999 - Haitao Wu, Jingjie Lv, Xian Lian, Hanxu Hou:
Triple-Parity Vertical Array Codes with Optimal Update Bandwidth and Fast Encoding/Decoding Performance. 4000-4005 - Yousef Alsaud, Danda B. Rawat:
A Secure and Privacy-Preserving Framework for Healthcare Data Management Using Deterministic Additive Noise and Differential Privacy in Cloud Environments. 4006-4012 - Maya El-Lanky, Dillon Chrimes:
Big data analytic of US Medicare Claims of healthcare service informatics and billing fraud. 4013-4022 - Daniel Korn, Jon-Michael Beasley, Kara Schatz, Pei-Yu Hou, Alexander Tropsha, Rada Chirkova:
FPP-Hunter: Expert-Guided Discovery Of Functional Path Patterns. 4023-4032 - Chandradutt Nareshkumar Patel:
Privacy-Preserving Big Data Analytics Using Homomorphic Encryption: A Comprehensive Evaluation in Healthcare Applications. 4033-4038 - Nidhibahen Shah, Ahmed Soliman, Joyanta Basak, Sartaj Sahni, Kenneth Haase, Anup Mathur, Krista Park, Daniel Weinberg, Jonathan White, Sanguthevar Rajasekaran:
The Soundex Blocking: A Novel Blocking Approach for Record Linkage. 4039-4047 - Antonela Tommasel, Ira Assent:
Semantic grounding of LLMs using knowledge graphs for query reformulation in medical information retrieval. 4048-4057 - Terri Elizabeth Workman, Joel Kupersmith, Ying Yin, Qing Zeng-Treitler:
More than the Sum of its Parts: Applying Topic Modeling and Explainable AI to Deep Learning in Understanding Problematic Opioid Use. 4058-4067 - Hubert Naacke, Noé Curé, Olivier Curé:
PCCMerge: a parallel method based on merging partial connected components in large graphs. 4068-4077 - Guoqing Xiao, Li Xia, Yuedan Chen, Wangdong Yang:
PUSHGNN: A Low-communication Runtime System for GNN Acceleration on Multi-GPUs. 4078-4085 - Shujing Dong, Yuan Ling, Shunyan Luo, Shuyi Wang, Yarong Feng, Zongyi Joe Liu, Hongfei Li, Ayush Goyal, Bruce Ferry:
Context-Aware and User Intent-Aware Follow-Up Question Generation (CA-UIA-QG): Mimicking User Behavior in Multi-Turn Setting. 4086-4094 - Xiaofei Hu, Le Zheng, Ruomeng Zhang:
Enhancing User Understanding with Big Data: A Comparative Study of Deep Learning and Statistical Methods for Forecasting Online Page Views. 4095-4103 - Jinmo Kang, Sanghyeon Lee, Yeonghwan Jeon, Hyuncheol Jo, Byoung-Ki Jeon:
A Novel Hybrid Architectures for Overcoming Sparse Data in Subscription Product Recommendation Systems. 4104-4109 - Wanghu Chen, Qi Fan, Siqi Zeng, Jing Li:
Clustering of Students' Behavior Using the GPT-2 Module Based on the Macroscopic Attention Model. 4110-4118 - Arun Sanjel, Bikram Khanal, Pablo Rivas, Greg Speegle:
Automated Synthesis of Distributed Code from Sequential Snippets Using Deep Learning. 4119-4126 - Yichuan Shi, Olivera Kotevska, Viktor Reshniak, Amir Sadovnik:
Assessing Membership Inference Attacks under Distribution Shifts. 4127-4131 - Rick Archibald, Addi Malviya-Thakur, Marshall T. McDonnell, Gregory Cage, Cody Stiner, Lance Drane, M. Paul Laiu, Michael J. Brim, Mathieu Doucet, William T. Heller, Ryan Coffee:
Privacy Preserving Federated Learning for Advanced Scientific Ecosystems. 4132-4138 - Stijn Bellis, Joachim Denil, Ramesh Krishnamurthy, Guillermo A. Pérez:
SLWM: A Library for Implementing Complex Training Workflows for surrogates of MPC's. 4139-4144 - Rutuja Gurav, Isaac Kelly, Pooyan Goodarzi, Anamaria Effler, Barry Barish, Evangelos E. Papalexakis, Jonathan W. Richardson:
Multivariate Time Series Clustering for Environmental State Characterization of Ground-Based Gravitational-Wave Detectors. 4145-4152 - Jan David Hüwel, Georg Stefan Schlake, Kevin Albrechts, Christian Beecks:
Discovering Propagating Signals in High-Content Multivariate Time Series via Spatio-Temporal Subsequence Clustering. 4153-4161 - Jangjae Lee, Sangkeun Matthew Lee, Stephanie German Paal, Supriya Chinthavali:
A Generalized Outage Prediction Model for Various Types of Extreme Climate Events in Texas. 4162-4166 - Imtiaz Mahmud, Pawel Zuk, Cong Wang, Mariam Kiran, Kesheng Wu, Komal Thareja, Krishnan Raghavan, Anirban Mandal, Ewa Deelman:
DISTRI: Development and Integration of Simulation Tools for Resilient Infrastructure. 4167-4177 - Amirhossein Nazeri, Denys W. Godwin, Aikaterini Maria Panteleaki, Iraklis Anagnostopoulos, Michael I. Edidem, Ruopu Li, Tong Shu:
Exploration of TPU Architectures for the Optimized Transformer in Drainage Crossing Detection. 4178-4187 - Viktor Reshniak, Qian Gong, Rick Archibald, Scott Klasky, Norbert Podhorszki:
A Framework for Compressing Unstructured Scientific Data via Serialization. 4188-4193 - Alicia Russell-Gilbert, Alexander Sommers, Andrew Thompson, Logan Cummins, Sudip Mittal, Shahram Rahimi, Maria Seale, Joseph Jabour, Thomas Arnold, Joshua Church:
AAD-LLM: Adaptive Anomaly Detection Using Large Language Models. 4194-4203 - Joe Stubbs, Smruti Padhy, Richard Cardone:
Toward Smart Scheduling in Tapis. 4204-4209 - Youjeong Suk, Jaemin Jeon, Inuk Jung:
LOCOS: A cosine based local gene expression pattern finding algorithm on time-series data. 4210-4239 - Andrew Thompson, Alexander Sommers, Alicia Russell-Gilbert, Logan Cummins, Sudip Mittal, Shahram Rahimi, Maria Seale, Joseph Jabour, Thomas Arnold, Joshua Church:
Multivariate Data Augmentation for Predictive Maintenance using Diffusion. 4240-4247 - Kalpit M. Vadnerkar, Emmanuela Amen Eze, Rinoj Gautam, Daoru Han, Xin Liang, Tong Shu:
A Deep Learning Approach to Maximizing Electrostatic Sieve Efficiency in Regolith Beneficiation. 4248-4256 - Nicolas Vidal, Qian Gong, Viktor Reshniak, Rick Archibald, Scott Klasky:
Tuning the Interpolation Basis in a Multigrid Decomposition for Local Error Control. 4257-4264 - Hong-Jun Yoon, Tom Ruggles, Huanhuan Zhao, Debjani Singh:
A Decision Support System to Compile Environmental Mitigations from Hydropower Licensing Documents. 4265-4268 - Niloofar Zendehdel, Adib Mosharrof, Katherine Delgado, Daoru Han, Xin Liang, Tong Shu:
Modeling Lunar Surface Charging Using Physics-Informed Neural Networks. 4269-4274 - Weijian Zheng, Hemant Sharma, Ryan Chard, Peter Kenesei, Jun-Sang Park, Nicholas Schwarz, Antonino Miceli, Ian T. Foster, Rajkumar Kettimuthu:
Model and Data Management for Machine Learning (M2ML): Integrating Instruments, Edge and HPC for Accelerated Machine Learning. 4275-4282 - Mohd Manzar Abbas, Amit Ranjan, Supratik Mukhopadhyay, Aixin Hou:
GNN-ARG: A Graph Neural Network-based Framework for Predicting Antibiotic Resistance Genes. 4283-4291 - Ryan Brown, Andrea Domiter, Puya Vahabi:
Toward Global Multimodal High-Resolution Land Surface Temperature Forecasting and Nowcasting. 4292-4301 - Aswini Ghosh, Nelson Sharma, Rajiv Misra:
Placement of Swarm UAV for Data Collection: A Deep Reinforcement Learning Approach. 4302-4308 - Priyadarshni, Praveen Kumar, Shivani Tripathi, Akshun Pratap Dubey, Rajiv Misra:
MEC- Assisted Task offloading using Meta-Reinforcement Learning for B5G/6G Network. 4309-4314 - Wen Le Hong, Xinghui Zhao:
Early Wildfire Detection Using One Class Learning. 4315-4319 - Vaneet Kour, Sudhir Kumar, Rajiv Misra, T. N. Singh:
Advancing PM2.5 and NO2 Prediction Accuracy through the ConvTrans Model: A Novel Application of Hybrid Deep Learning Technologies. 4320-4326 - Sudhir Kumar, Vaneet Kour, Nimisha Jain, Rajiv Misra:
A Novel Hybrid CNN-Transformer Framework for Spatiotemporal Prediction of O3. 4327-4333 - Sudhir Kumar, Sourabh Mehra, Harsh Jha, Vaneet Kour, Rajiv Misra:
Statistical Modeling of Air Pollutants for Predicting AQI Levels. 4334-4341 - Russell Limber, William W. Hargrove, Forrest M. Hoffman, Jitendra Kumar:
Forecast of Wildfire Potential Across California USA Using a Transformer. 4342-4350 - Elias C. Massoud, Nathan Collier, Bharat Sharma, Jitendra Kumar, Forrest M. Hoffman:
Enhancing Photosynthesis Simulation Performance in ESMs with Machine Learning-Assisted Solvers. 4351-4356 - Thilanka Munasinghe, Phung Lai, Jennifer. C. Wei, James A. Hendler, Kimberly A. Cornell:
Assessment of Quantum ML Applicability for Climate Actions: Comparison of the Variational Quantum Classifier and the Quantum Support Vector Classifier with Classical ML Models. 4357-4366 - Mohit Nathani, Rajat Soni, Rajiv Mishra:
Knowledge Distillation in Mixture of Experts for Multi-Modal Medical LLMs. 4367-4373 - Francis Ndikum Nji, Omar Faruque, Mostafa Cham, Vandana P. Janeja, Jianwu Wang:
Hybrid Ensemble Deep Graph Temporal Clustering for Spatiotemporal Data. 4374-4383 - Yu Pan, Jianxin Sun, Hongfeng Yu, Joe Luck, Geng Bai, Nipuna Chamara, Yufeng Ge, Tala Awada:
Building Multi-Agent Copilot towards Autonomous Agricultural Data Management and Analysis. 4384-4393 - Mahi Pasarkar, Junseob Kim, Eoin O'Gara, Alan Zhang, Malik Magdon-Ismail, Thilanka Munasinghe, Jiaqi Weng, David Qiu, Ethan Cruz, Jennifer C. Wei, Ashan Pathirana:
Natural Language Processing for Extracting Rich Disease Data Aligned To Satellite Meteorological Data. 4394-4401 - Ludovica Sacco, Carolina Sopranzetti, Sandro Fiore:
Enabling Provenance Tracking in Workflow Management Systems. 4402-4409 - Rajat Soni, Mohit Nathani, Rajiv Mishra:
Comprehensive Evaluation of Deep LTSF Models for Forecasting of Air Quality Index. 4410-4419 - Shivani Tripathi, Praveen Kumar, Mailram Sai Chaitanya, Nagireddy Sai Tarun Teja, Rajiv Misra, T. N. Singh:
Dueling Double DQN with Attention for Optimized Offloading in Wireless-Powered Edge-Enabled Mobile Computing Networks. 4420-4428 - Anil Verma, Sumit Kumar Singh, Rupesh Kumar Sah, Rajiv Misra, T. N. Singh:
Performance Comparison of Deep Learning Models for CO2 Prediction: Analyzing Carbon Footprint with Advanced Trackers. 4429-4437 - Anil Verma, Lalit Chandra Routhu, Rishikant Chigrupaatii, Anurag Choubey, Rajiv Misra, T. N. Singh:
Big Data-Driven Long Term Accurate CO2 Emission Forecasting Using Advanced Recurrent Neural Networks. 4438-4447 - Jiaqi Weng, David Qiu, Ethan Cruz, Malik Magdon-Ismail, Thilanka Munasinghe, Jennifer C. Wei, Ashan Pathirana, Mahi Pasarkar:
Graph Representation Learning for Dengue Forecasting. 4448-4456 - Sahar Yarmohammadtoosky, Ying Xie:
Data-Driven Analysis of Climate Change Impacts on Public Health: A Systematic Review and Future Directions. 4457-4465 - Farah Aladwan, Raj Mani Shukla, Hossein Abroshan, Shareeful Islam, Ronak Al-Haddad:
From Spatial to Frequency Domain: Defending Medical Image Classification Against Steganography-Based Adversarial Attacks. 4466-4473 - Haoqing Chen, Bo Jin, Xiangfeng Wang:
Semi-supervised Learning to Defer Algorithm for Lung Disease Diagnosis. 4474-4481 - Carmela Comito, Annalisa Socievole:
Uncovering Alzheimer's Disease Biomarkers through Motif-Based Analysis of Synthetic Functional Brain Networks. 4482-4489 - Bonian Han, Yuktha Priya Masupalli, Xin Xing, Gongbo Liang:
Improving Medical Imaging Model Calibration through Probabilistic Embedding. 4490-4496 - Md Majedul Islam, Jing Selena He:
Abdominal Trauma Detection using Hybrid Quantum Machine Learning. 4497-4506 - Marco Usai, Andrea Loddo, Lorenzo Putzu, Cecilia Di Ruberto:
Federated Learning for Enhanced Cell Nuclei Segmentation in Histopathological Images. 4507-4516 - Yizhe Yang, Carson D. Sisk, Jon C. Calhoun:
Evaluating Lossy and Lossless Compression for DICOM Medical Files. 4517-4523 - Prasasthy Balasubramanian, Tarek Ali, Mohammad Salmani, Danial Khosh Kholgh, Panos Kostakos:
Hex2Sign: Automatic IDS Signature Generation from Hexadecimal Data using LLMs. 4524-4532 - Mohamed Alae-Eddine Eladlani, Larbi Boubchir, Khadidja Benallou:
Online Signature Processing for Biometric User Authentication and Identification. 4533-4539 - Supriyo Sadhya, Xiaojun Qi:
Deepfake Detection with Wavelet-Integrated Convolutional Networks. 4540-4547 - Walid Abdelaidoum, Mohamed A. Madani, Larbi Boubchir, Boubaker Daachi:
An Efficient Modeling Approach for Nurse Rostering Problem: Use Case. 4548-4553 - Hengrui Hu, Anai N. Kothari, Anjishnu Banerjee:
Personalized Federated Learning for Gastric Cancer: Adaptive Inference from Large Heterogeneous Piecewise Electronic Health Record Based Biomedical Data. 4554-4563 - Aleesa Mann, Ajinkya P. Jadhav, Richard Matovu, Vibhuti Gupta:
Harnessing the Power of Vocal Signals in COVID-19 Detection Utilizing Machine Learning. 4564-4570 - Krishnamoorthy Manohara, Slava Jankin, Jean Bousquet, Paulina Garcia Corral, Jorge Roa, Hannah Béchara, Bernardo Sousa-Pinto:
From Searches to Sneezes: Evaluating Digital Indicators for Allergic Rhinitis Surveillance in the United Kingdom1. 4571-4578 - Giridhar Pamisetty, Subbareddy Batreddy, Priya Verma, Ch. Sobhan Babu:
EHRGPT: Leveraging language models for generating synthetic health records. 4579-4587 - Omar Faruque, Xingyan Li, Md. Azim Khan, Homayra Alam, Jianwu Wang:
Comparative Evaluation of Causal Discovery and Inference Approaches on Arctic Sea Ice Time Series Data. 4588-4597 - Sai Rajesh Rapelli, Zhiyuan Chen, Wei Lu:
A LSTM with Dual-stage Attention Method to Predict Amine Emissions for Carbon Dioxide Capture and Storage. 4598-4604 - Sohini Roychowdhury, Marko Krema, Anvar Mahammad, Brian Moore, Arijit Mukherjee, Punit Prakashchandra:
ERATTA: Extreme RAG for enterprise-Table To Answers with Large Language Models. 4605-4610 - Neelanga Thelasingha, Thilanka Munasinghe:
Energy Infrastructure Risk Modeling using Quantum and Classical Machine Learning. 4611-4620 - Pegah Ahadian, Wei Xu, Sherry Wang, Qiang Guan:
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations. 4621-4626 - Corey Curran, Nafis Neehal, Keerthiram Murugesan, Kristin P. Bennett:
Examining Trustworthiness of LLM-as-a-Judge Systems in a Clinical Trial Design Benchmark. 4627-4631 - Azra Emekci:
Predictive Modeling for Early Alzheimer's Disease Using Natural Language Processing. 4632-4636 - Jiayi Wang, Mingyan Wu, Yuhang Guo, Ha Wu, Zhiyu Wan:
Evaluating Fairness of Mask R-CNN for Kidney Infection Detection based on Renal Scintigraphy. 4637-4642 - Stefano Cabiddu, Manuela Sanguinetti, Alessandro De Falco, Giulia Manca, Maurizio Atzori:
Effective Net Load Forecasting in Solar-Integrated Homes with Battery Systems. 4643-4649 - Francesco Dattola, Pasquale Iaquinta, Miriam Iusi, Deborah Federico, Raffaele Greco, Marco Talerico, Valentina Coscarella, Luca Legato, Ivana Pellegrino, Sonia Bergamaschi, Mirko Orsini, Riccardo Martoglia, Andrea Livaldi, Abeer Jelali, Simone Sbreglia, Tommaso Ruga, Ester Zumpano, Luciano Caroprese, Camilla Lops, Sergio Montelpare, Mariano Pierantozzi, Maira Aracne:
PRECEDE: Climate and Energy Forecasts to Support Energy Communities with Deep Learning Models. 4650-4658 - Khoukha Khoussa, Patrick Leveque, Larbi Boubchir:
On the use of Machine Learning to Discover Novel Donor-Acceptor Pairs For Organic Photovoltaic Devices. 4659-4662 - Behzad Pirouz, Francesca Guerriero:
Comparing Artificial Intelligence Techniques for Predicting Energy Consumption and Renewable Energy Production. 4663-4672 - Giovanni Brusco, Daniele Menniti, Giovanni Schinelli, Nicola Sorrentino:
Development of a Machine Learning Algorithm to Forecast PV Plant Production. 4673-4678 - Jiho Choi, Sung Woo Byun, Najeong Chae, Ji-Hoon Lim, Taehoon Lim, Hye In Lee, Hwa Seon Shin:
A study on phenotype prediction using an artificial intelligence-based data augmentation approach. 4679-4684 - Gianni Costa, Agostino Forestiero, Antonio Francesco Gentile, Davide Macrì, Riccardo Ortale, Bruno Bernardi, Emanuele Cerruto:
An AI-Driven Architecture for Precision Agriculture: IoT, Machine Learning, and Digital Twin Integration for Sustainable Crop Protection. 4685-4691 - Maurice Günder, Facundo Ramón Ispizua Yamati, Anne-Katrin Mahlein, Christian Bauckhage:
Towards Agent-based Disease Spread Modeling Combining Knowledge-driven Simulation and Machine Learning. 4692-4701 - Danilo Maurmo, Marco Gagliardi, Tommaso Ruga, Ester Zumpano, Eugenio Vocaturo:
Boosting Agricultural Diagnostics: Cassava Disease Detection with Transfer Learning and Explainable AI. 4702-4710 - Carmelo Scuro, Giuseppe Alì, Pierpaolo Antonio Fusaro, Salvatore Nisticò:
Forest fire prevention: Application of mathematical models for the realization of an IoT based monitoring system. 4711-4719 - Fiorella Folino, Maria Francesca Foresta, Danilo Maurmo, Tommaso Ruga, Ester Zumpano, Eugenio Vocaturo:
AI Image-based Systems for Enhancing the Cultural Tourism Experience. 4720-4726 - Kranthi Godavarthi, Jayanna Hallur, Sujan Das:
Foundation Models for Big Data: Enabling AI-Powered Data Insights to Accelerate Business Outcomes and Achieve Sustainable Success. 4727-4736 - Tobias Deußer, Cong Zhao, Lorenz Sparrenberg, Daniel Uedelhoven, Armin Berger, Maren Pielka, Lars Hillebrand, Christian Bauckhage, Rafet Sifa:
A Comparative Study of Large Language Models for Named Entity Recognition in the Legal Domain. 4737-4742 - Qiang Mao, Adam Dabrowski, Fusheng Wei, Eric Olson, Robert Neary, Jingchao Yang, Han Qin, Nathaniel Huber-Fliflet:
Comparative Analysis of LLM-Generated Event Timeline Summarization for Legal Investigations. 4743-4750 - Raffaele Russo, Diego Russo, Gian Marco Orlando, Antonio Romano, Giuseppe Riccio, Valerio La Gatta, Marco Postiglione, Vincenzo Moscato:
EuropeanLawAdvisor: an open source search engine for European laws. 4751-4756 - Ken Satoh, Hideaki Takeda, Randy Goebel, Yoshinobu Kano, Mi-Young Kim, Juliano Rabelo, Masaharu Yoshioka:
Juris-Informatics: Law for AI and Law of AI. 4757-4762 - Fusheng Wei, Robert Neary, Han Qin, Qiang Mao, Jianping Zhang:
Empirical Evaluation of Embedding Models in the Context of Text Classification in Document Review in Construction Delay Disputes. 4763-4767 - Jingchao Yang, Adam Dabrowski, Robert Neary, Nathaniel Huber-Fliflet, Fusheng Wei, Qiang Mao:
Empirical Evaluation of Ensemble and Single Model Approaches for Multilingual Predictive Coding. 4768-4772 - Jingchao Yang, Adam Dabrowski, Robert Neary, Nathaniel Huber-Fliflet:
A Hybrid Approach for Privilege Document Review: Rule-Based and Machine Learning. 4773-4778 - Eugene Yang, Roshanak Omrani, Evan Curtin, Tara Emory, Lenora Gray, Jeremy Pickens, Nathan Reff, Cristin Traylor, Sean Underwood, David D. Lewis, Aron J. Ahmadia:
Beyond the Bar: Generative AI as a Transformative Component in Legal Document Review. 4779-4788 - Zhixian Zhuang, Xiaodong Lee, Jiuqi Wei, Yufan Fu, Aiyao Zhang:
CBCMS: A Compliance Management System for Cross-Border Data Transfer. 4789-4798 - Yoshia Abe, Shuhei Matsuo, Ryoma Kondo, Ryohei Hisano:
Leveraging Large Language Models for Institutional Portfolio Management: Persona-Based Ensembles. 4799-4808 - Anoop Adusumilli, Sheikh Rabiul Islam, Iman Dehzangi, June Kim:
Leveraging Large Language Models and Deep Learning for Detecting Illegal Insider Trading. 4809-4818 - Siwoo Bae, David Hyde:
CUBAN: Leveraging Semantic Comparables to Predict Financial Metrics Using Textual Descriptions of Companies. 4819-4827 - Anup Bera, Aditya Goel:
Factual Accuracy Checking by Validating Numerical Data in Financial Summaries. 4828-4835 - Ishani Chakraborty:
Time Series Based Optimized Recommendation of Promotional Rewards. 4836-4845 - Qizhao Chen, Hiroaki Kawashima:
Stock Price Prediction Using LLM-Based Sentiment Analysis. 4846-4853 - Devendra Dahiphale, Naveen Madiraju, Justin Lin, Rutvik Karve, Monu Agrawal, Anant Modwal, Ramanan Balakrishnan, Shanay Shah, Govind Kaushal, Priya Mandawat, Prakash Hariramani, Arif Merchant:
Enhancing Trust and Safety in Digital Payments: An LLM-Powered Approach. 4854-4863 - Tobias Deußer, Cong Zhao, Daniel Uedelhoven, Lorenz Sparrenberg, Lars Hillebrand, Christian Bauckhage, Rafet Sifa:
Leveraging Large Language Models for Few-Shot KPI Extraction from Financial Reports. 4864-4868 - Alphaeus Dmonte, Eunmi Ko, Marcos Zampieri:
An Evaluation of Large Language Models in Financial Sentiment Analysis. 4869-4874 - Ali Elahi, Fatemeh Taghvaei:
Combining Financial Data and News Articles for Stock Price Movement Prediction Using Large Language Models. 4875-4883 - Sven Goluza, Tomislav Kovacevic, Stjepan Begusic, Zvonko Kostanjcar:
Robot See, Robot Do: Imitation Reward for Noisy Financial Environments. 4884-4891