default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID22nd ICMLA 2023: Jacksonville, FL, USA
- International Conference on Machine Learning and Applications, ICMLA 2023, Jacksonville, FL, USA, December 15-17, 2023. IEEE 2023, ISBN 979-8-3503-4534-6
- Haocheng Zhao, Limin Yu, Runwei Guan, Liye Jia, Junqing Zhang, Yutao Yue:
PLSR: Unstructured Pruning with Layer-Wise Sparsity Ratio. 1-8 - Fabricio Quirós-Corella
, Reinaldo Pereira, Yendry Regina Corrales-Ureña:
Microvilli Semantic Segmentation in Microscopy Images Using a Visual Learning Pipeline. 1-8 - Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang:
Multitask Learning for Time Series Data with 2D Convolution. 9-16 - Simon Stieber, Leonard Heber, Christof Obertscheider, Wolfgang Reif:
Control of Composite Manufacturing Processes Through Deep Reinforcement Learning. 17-22 - Mehdi Sadeghilalimi, Malek Mouhoub, Haifa Zaidi, Aymen Ben Said:
Solving the Electricity Technician Dispatch Problem. 23-30 - Rodolfo Quispe, Cuiling Lan, Zhizheng Zhang, Hélio Pedrini:
AReID: Rethinking Re-Identification and Occlusions for Multi-Object Tracking. 31-37 - Paulo H. J. Amorim, Thiago F. Moraes, Jorge Vicente Lopes da Silva, Hélio Pedrini:
Mandible Segmentation from CT and CBCT Images Based on a Patch-Based Convolutional Neural Network. 38-44 - Kacem Khaled, Mouna Dhaouadi, Felipe Gohring de Magalhaes, Gabriela Nicolescu:
Efficient Defense Against Model Stealing Attacks on Convolutional Neural Networks. 45-52 - Alexander M. Moore, Randy C. Paffenroth, Ken T. Ngo, Joshua R. Uzarski:
ChemVise: Maximizing Out-of-Distribution Chemical Detection with a Novel Application of Transfer Learning. 53-60 - Surat Teerapittayanon, Marcus Z. Comiter, Bradley McDanel, H. T. Kung:
StitchNet: Composing Neural Networks from Pre-Trained Fragments. 61-68 - Leandro Stival, Ricardo da Silva Torres, Hélio Pedrini:
SwinFVC: A Swin Flow Video Colorization Example-Based Method. 69-75 - Ryan McCoppin, Colin Dawson, Sean M. Kennedy, Leslie M. Blaha:
Evaluating Adversarial Robustness with Expected Viable Performance. 76-82 - Bradley McDanel, Chi Phuong Ngoc Huynh:
Dynamic Patch Sampling for Efficient Training and Dynamic Inference in Vision Transformers. 83-89 - Madhureeta Das, Gaurav Bagwe, Miao Pan, Xiaoyong Yuan, Lan Zhang:
Learning, Tiny and Huge: Heterogeneous Model Augmentation Towards Federated Tiny Learning. 90-97 - Safwen Naimi, Olfa Koubaa, Wassim Bouachir, Guillaume-Alexandre Bilodeau, Gregory Jeddore, Patricia Baines, David L. P. Correia, Andre Arsenault:
Automating Lichen Monitoring in Ecological Studies Using Instance Segmentation of Time-Lapse Images. 98-103 - Ting Fung Lam, Yony Bresler, Ahmed Khorshid, Nathan Perlmutter:
Improved Batching Strategy For Irregular Time-Series ODE. 104-111 - Chuizheng Kong, William Yerazunis, Daniel Nikovski:
Stochastic Learning Manipulation of Object Pose With Under-Actuated Impulse Generator Arrays. 112-119 - André V. Duarte, Arlindo L. Oliveira:
Improving Embeddings for High-Accuracy Transformer-Based Address Matching Using a Multiple in-Batch Negatives Loss. 120-127 - Quincy Hershey, Randy C. Paffenroth, Harsh Nilesh Pathak:
Exploring Neural Network Structure through Sparse Recurrent Neural Networks: A Recasting and Distillation of Neural Network Hyperparameters. 128-135 - Chafic Abou Akar, André Luckow, Ahmad Obeid, Christian Beddawi, Marc Kamradt, Abdallah Makhoul:
Enhancing Complex Image Synthesis with Conditional Generative Models and Rule Extraction. 136-143 - Sihang Jiang, Johanna Loomba, Andrea Zhou, Suchetha Sharma, Saurav Sengupta, Donald E. Brown:
A Bayesian Hierarchical Analysis on the Disparity of Emergency Department Visits for COVID-19: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data. 144-151 - Hirofumi Tsuruta, Yukari Katsura, Masaya Kumagai:
DeepCrysTet: A Deep Learning Approach Using Tetrahedral Mesh for Predicting Properties of Crystalline Materials. 152-157 - Yasutaka Nishimura, Naoto Takeda, Roberto Legaspi, Kazushi Ikeda, Thomas Plötz, Sonia Chernova:
ALLFA: Active Learning Through Label and Feature Augmentation. 158-165 - Julian Müller, Lukas Czekalla, Florian Schuchter, Georg Frey:
Illuminating the Black Box: A Comparative Study of Explainable AI for Interpreting Time Series Data in Vehicle Power Net Consumption Models. 166-173 - Yuma Dose, Shuichiro Haruta, Takahiro Hara:
A Graph-Based Recommendation Model Using Contrastive Learning for Inductive Scenario. 174-181 - Johannes V. S. Busch, Robert Voelckner, Peter Sossalla, Christian L. Vielhaus, Roberto Calandra, Frank H. P. Fitzek:
Deep Reinforcement Learning for the Joint Control of Traffic Light Signaling and Vehicle Speed Advice. 182-187 - Ahmad Ayad, Mahdi Barhoush, Benedikt Völker, Steffen Leonhardt, Anke Schmeink:
Energy Efficient ECG Classifier Using Smart Lead Switching and Apache TVM. 188-193 - Shan Suthaharan:
Fall Detection using Machine Learning Techniques and Frequency-Driven Riemannian Manifolds. 194-201 - Yasunori Taguchi, Hiro Gangi:
Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR. 202-209 - Daniel S. Adams, Taylor Hauser, Jessica Moehl:
Decoding Ethiopian Abodes: Towards Classifying Buildings by Occupancy Type Using Footprint Morphology. 210-217 - Alireza Dehlaghi-Ghadim, Tijana Markovic, Miguel Leon, David Söderman, Per Erik Strandberg:
Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment. 218-225 - Borui He, Garrett E. Katz:
Will Poppy Fall? Predicting Robot Falls in Advance Based on Visual Input. 226-232 - Kuangdai Leng, Jeyan Thiyagalingam:
Padding-Free Convolution Based on Preservation of Differential Characteristics of Kernels. 233-240 - Madhushan Buwaneswaran, Tehara Fonseka, Apurva Narayan, Katarina Grolinger:
Improving Adversarial Robustness of Few-Shot Learning with Contrastive Learning and Hypersphere Embedding. 241-248 - Viswadeep Lebakula, Eve Tsybina, Kadir Amasyali, Justin M. Hill, Jeffrey Munk, Helia Zandi:
Anomaly detection for MPC forecast in Fleet of Water Heaters. 249-256 - Jean Erik Delanois, Aditya Ahuja, Giri P. Krishnan, Timothy Tadros, Julian J. McAuley, Maxim Bazhenov:
Improving Robustness of Convolutional Networks Through Sleep-Like Replay. 257-264 - Jiefei Liu, Huiping Cao, Abu Saleh Md Tayeen, Satyajayant Misra, Pratyay Kumar, Jayashree Harikumar:
Multi-Model-Based Federated Learning to Overcome Local Class Imbalance Issues. 265-270 - Jingyi Gao, Runze Yan, Afsaneh Doryab:
Modeling Regularity and Predictability in Human Behavior from Multidimensional Sensing Signals and Personal Characteristics. 271-278 - Daniel Rosen, Illa Rochez, Caleb McIrvin, Joshua Lee, Kevin D'Alessandro, Max Wiecek, Nhan Hoang, Ramzy Saffarini, Sam Philips, Vanessa Jones, Will Ivey, Zavier Harris-Smart, Zavion Harris-Smart, Zayden Chin, Amos Johnson, Alyse M. Jones, William C. Headley:
RFRL Gym: A Reinforcement Learning Testbed for Cognitive Radio Applications. 279-286 - Yiming Jia, Mehrdad Sasani:
Symbolic-Based Recurrent Neural Networks for Metamodeling of Nonlinear Structural Models. 287-292 - Tamilselvan Balasuntharam, Heidar Davoudi, Mehran Ebrahimi:
Preferential Proximal Policy Optimization. 293-300 - Mohammed Aburidi, Roummel F. Marcia:
Optimal Transport and Contrastive-Based Clustering for Annotation-Free Tissue Analysis in Histopathology Images. 301-307 - Manish Bhattarai, Mehmet Cagri Kaymak, Ryan Barron, Ben Nebgen, Kim Ø. Rasmussen, Boian S. Alexandrov:
Robust Adversarial Defense by Tensor Factorization. 308-315 - Shuaiyu Li, Yang Ruan, Changzhou Long, Yuzhong Cheng:
Efficient CNN-LSTM Based Parameter Estimation of Lévy Driven Stochastic Differential Equations. 316-323 - Dan Halbersberg, Roni Yasinnik, Matan Halevi, Moshe Salhov:
Temporal-Based Action Graph with Sequential Pattern Mining for ChuRN Detection: a Playtika Case Study. 324-331 - Emilio Zarbali, Alwin Hoffmann, Jonas Hepp:
Contrastive Pretraining of Regression Tasks in Reliability Forecasting of Automotive Electronics. 332-338 - Matthias Bittner, Daniel Hauer, Christian Stippel, Katharina Scheucher, Robin Sudhoff, Axel Jantsch:
Forecasting Critical Overloads based on Heterogeneous Smart Grid Simulation. 339-346 - Nikin Matharaarachchi, Muhammad Fermi Pasha, Sonya Coleman, Dermot Kerr:
Time Efficient Micro-Expression Recognition Using Weighted Spatio-Temporal Landmark Graphs. 347-354 - Grant Ellison, Milla Penelope Markovic, Delaram Yazdansepas:
Real-Time Human Activity Classification Using Gait Cycle Averaging and Biometric Heuristics. 355-361 - Harsh Nilesh Pathak, Randy C. Paffenroth, Quincy Hershey:
Sequentia12D: Organizing Center of Skip Connections for Transformers. 362-368 - Amr S. Mohamed, Sumin Lee, Deepa Kundur:
Reinforcement Learning for Supply Chain Attacks Against Frequency and Voltage Control. 369-375 - Davide Porello, Ugo A. Buy, Kyle W. Boerke, M. Pieta Keller:
Early Detection of Mental and Behavioral Health Issues from High-School Academic Performance. 376-383 - Weiheng Zhong, Tanwi Mallick, Jane MacFarlane, Hadi Meidani, Prasanna Balaprakash:
Graph Pyramid Autoformer for Long- Term Traffic Forecasting. 384-391 - Yimeng Min, Ming-Chiang Chang, Shufeng Kong, John M. Gregoire, R. Bruce van Dover, Michael O. Thompson, Carla P. Gomes:
Physically Informed Graph-Based Deep Reasoning Net for Efficient Combinatorial Phase Mapping. 392-399 - Joseph Coble, Armon Barton, Christian Darken, Scotty Black:
Optimizing Naval Movement Using Deep Reinforcement Learning. 400-407 - Jinsu Hong, Chetraj Pandey, Anli Ji, Berkay Aydin:
An Innovative Solar Flare Metadata Collection for Space Weather Analytics. 408-413 - Basel Barakat, Qiang Huang:
Enhancing Transfer Learning Reliability via Block-Wise Fine-Tuning. 414-421 - Anh N. Nhu, Ngoc-Anh Le, Shihang Li, Thang D. V. Truong:
Physics-Guided Reinforcement Learning System for Realistic Vehicle Active Suspension Control. 422-429 - Saurav Sengupta, Johanna Loomba, Suchetha Sharma, Scott A. Chapman, Donald E. Brown:
Determining Risk Factors for Long COVID Using Positive Unlabeled Learning on Electronic Health Records Data from NIH N3C. 430-436 - Yuxin Yang, Zhengyong Ren, Chris Lenart, Ashton Corsello, Karl W. Kosko, Simon Su, Qiang Guan:
Deep Learning-based Student Learning Behavior Understanding Framework in Real Classroom Scene. 437-444 - Sneha Paul, Zachary Patterson, Nizar Bouguila:
Semantic Segmentation Using Transfer Learning on Fisheye Images. 445-452 - Omar Bahri, Peiyu Li, Pouya Hosseinzadeh, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Shapelet-Preserving Bootstrapping For Time Series Data Augmentation. 453-458 - Mohamed Ndiaye, Mamadou Mboup:
Empirical Mode Decomposition with Envelope Extraction and LSTM for univariate time series forecasting. 459-464 - John T. Hancock, Taghi M. Khoshgoftaar:
Data Reduction to Improve the Performance of One-Class Classifiers on Highly Imbalanced Big Data. 465-471 - Amit Kumar Singh Yadav, Kratika Bhagtani, Ziyue Xiang, Paolo Bestagini, Stefano Tubaro, Edward J. Delp:
DSVAE: Disentangled Representation Learning for Synthetic Speech Detection. 472-479 - Leonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal:
Channel-Adaptive Early Exiting Using Reinforcement Learning for Multivariate Time Series Classification. 480-487 - Tianze Wang, Amir Hossein Payberah, Vladimir Vlassov:
Graph Representation Learning with Graph Transformers in Neural Combinatorial Optimization. 488-495 - Amit Kumar Singh Yadav, Ziyue Xiang, Kratika Bhagtani, Paolo Bestagini, Stefano Tubaro, Edward J. Delp:
PS3DT: Synthetic Speech Detection Using Patched Spectrogram Transformer. 496-503 - Jessica Weiler, Andreas Theissler, Uwe Messer:
From Pixels to Palate: Deep Learning-Based Image Aesthetics Assessment for Food and Beverages. 504-511 - Md. Azim Khan, Nadeem Ahmed, Joyce Padela, Muhammad Shehrose Raza, Aryya Gangopadhyay, Jianwu Wang, James R. Foulds, Carl E. Busart, Robert F. Erbacher:
Flood-ResNet50: Optimized Deep Learning Model for Efficient Flood Detection on Edge Device. 512-519 - Valeriu Balaban, Jayson Sia, Paul Bogdan:
Robust Learning Under Label Noise by Optimizing the Tails of the Loss Distribution. 520-527 - Michael Lindemann, Kathleen DeMichele, Masoumeh Heidari Kapourchali, Mohammad Heidari Kapourchali, Christine F. Waigl, Erin Trochim, Long Zhao:
Igniting Precision: Amplifying Wildfire Prediction in Diverse Regions via Teacher-Student Model Fusion. 528-535 - EunSang Bak, Youngeun An, Sung Bum Pan:
A Novel Multi-Label Evaluation Measure with Comparative Analysis. 536-542 - Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara:
Iterative Feature Boosting for Explainable Speech Emotion Recognition. 543-549 - Salim Sazzed, Sharif Ullah:
Enhancing Efficiency and Privacy in Memory-Based Malware Classification Through Feature Selection. 550-557 - Khaznah Alshammari, Kartik Saini, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
End-to-End Attention/Transformer Model for Solar Flare Prediction from Multivariate Time Series Data. 558-565 - Hüseyin Anil Gündüz, Sheetal Giri, Martin Binder, Bernd Bischl, Mina Rezaei:
Uncertainty Quantification for Deep Learning Models Predicting the Regulatory Activity of DNA Sequences. 566-573 - Chiho Kim, Sang-Yoon Chang, Jonghyun Kim, Jinoh Kim:
An Empirical Evaluation of Autoencoding-Based Location Spoofing Detection. 574-579 - Lucas Hartman, Santiago Gomez-Rosero, Patrick Adjei, Miriam A. M. Capretz:
Multi-Factor Edge-Weighting with Reinforcement Learning for Load Balancing of Electric Vehicle Charging Stations. 580-587 - Thais Rodrigues Neubauer, Jari Peeperkorn, Sarajane Marques Peres, Jochen De Weerdt, Marcelo Fantinato:
Vector Representation for Business Process: Graph Embedding for Domain Knowledge Integration. 588-594 - Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi:
Improving Transparency and Explainability of Deep Learning Based IoT Botnet Detection Using Explainable Artificial Intelligence (XAI). 595-601 - Mohammed Aldeen, Joshua Luo, Ashley Lian, Venus Zheng, Allen Hong, Preethika Yetukuri, Long Cheng:
ChatGPT vs. Human Annotators: A Comprehensive Analysis of ChatGPT for Text Annotation. 602-609 - Kai Wang, Daniel Lasaga, John Helms, Edward Bowen, Sanmitra Bhattacharya:
How far is too far? Identifying suspicious travel patterns in healthcare claims using machine learning. 610-617 - Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Mohammad Akyash, Hossein Kashiani, Nasser M. Nasrabadi:
Multi-Context Dual Hyper-Prior Neural Image Compression. 618-625 - Naghmeh Shafiee Roudbari, Charalambos Poullis, Zachary Patterson, Ursula Eicker:
TransGlow: Attention-augmented Transduction model based on Graph Neural Networks for Water Flow Forecasting. 626-632 - Rebati Raman Gaire, Sepehr Tabrizchi, Arman Roohi:
EnCoDe: Enhancing Compressed Deep Learning Models Through Feature - - - Distillation and Informative Sample Selection. 633-638 - Sadia Kamal, Jimmy Hartford, Jeremy Willis, Arunkumar Bagavathi:
Learning Unbiased News Article Representations: A Knowledge-Infused Approach. 639-646 - Namarta Vij, Aznam Yacoub, Ziad Kobti:
XLNet4Rec: Recommendations Based on Users' Long-Term and Short-Term Interests Using Transformer. 647-652 - Peiyu Li, Pouya Hosseinzadeh, Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi:
Adversarial Attack Driven Data Augmentation for Time Series Classification. 653-658 - Katherine Yi, Angelina Dewar, Tartela Tabassum, Jason Lu, Ray Chen, Homayra Alam, Omar Faruque, Sikan Li, Mathieu Morlighem, Jianwu Wang:
Evaluating Machine Learning and Statistical Models for Greenland Subglacial Bed Topography. 659-666 - Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Michael S. F. Kirk, Daniel Da Silva:
Context-Aware Neural Video Compression on Solar Dynamics Observatory. 667-674 - Foozhan Ataiefard, Hadi Hemmati:
Gray-box Adversarial Attack of Deep Reinforcement Learning-based Trading Agents*. 675-682 - Shubham Trehan, Udhav Ramachandran, Ruth Scimeca, Sathyanarayanan N. Aakur:
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova Recognition. 683-688 - Sahara Ali, Omar Faruque, Yiyi Huang, Md. Osman Gani, Aneesh Subramanian, Nicole-Jeanne Schlegel, Jianwu Wang:
Quantifying Causes of Arctic Amplification via Deep Learning Based Time-Series Causal Inference. 689-696 - Abu Kaisar Mohammad Masum, Nusrat Badhon, S. M. Saiful Islam Badhon, Nushrat Jahan Ria, Sheikh Abujar, Muntaser Mansur Syed, Naveed Mahmud:
Comparative Evaluation of Transfer Learning for Classification of Brain Tumor Using MRI. 697-702 - Chetraj Pandey, Rafal A. Angryk, Berkay Aydin:
Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions. 703-708 - Mohammad Wali Ur Rahman, Murad Mehrab Abrar, Hunter Gibbons Copening, Salim Hariri, Sicong Shao, Pratik Satam, Soheil Salehi:
Quantized Transformer Language Model Implementations on Edge Devices. 709-716 - Sandipan Choudhuri, Suli Adeniye, Arunabha Sen:
A Robust Negative Learning Approach to Partial Domain Adaptation Using Source Prototypes. 717-724 - Nasik Muhammad Nafi, Ashley Rediger, Scott Dietrich, William H. Hsu:
Relevant Instance Segmentation in American Football Practice Images to Aid Risky Tackle Detection. 725-729 - Olaoluwa Adigun, Bart Kosko:
Bidirectional Backpropagation Autoencoding Networks for Image Compression and Denoising. 730-737 - Jian Xu, Guangfeng Yan, Ziyan Zheng, Shao-Lun Huang:
Mitigating Model Poisoning Attacks on Distributed Learning with Heterogeneous Data. 738-743 - Avishek Bose, William H. Hsu:
Attention-Augmented Parametric Kernel Graph Neural Network (APKGNN) for Node Classification. 744-751 - Dário P. Dos Santos, João P. J. da Costa, Daniel Alves da Silva, Fábio L. L. Mendonça, Carlos Eduardo Lacerda Veiga, Rafael T. de Sousa:
Multi-Class Text Classification Based in Oversampling for Highly Imbalanced Dataset. 752-755 - John G. Warner, Quinton Davidson, Michael Tietz, William Scharpf, Charles Keene:
Characterizing CNN-Based Vessel Detection Algorithm Sensitivity to Optical Sensor Artifacts. 756-763 - Shuhei Nitta, Taiji Suzuki, Albert Rodríguez Mulet, Atsushi Yaguchi, Ryusuke Hirai:
Scalable Federated Learning for Clients with Different Input Image Sizes and Numbers of Output Categories. 764-769 - Sina Alizadeh, Malek Mouhoub:
A New Self-Adaptive Hybrid Approach Based on History-Driven Methods for Improving Metaheuristics. 770-775 - Viet Huynh, Buser Say, Peter Vogel, Lucy Cao, Geoffrey I. Webb, Aldeida Aleti:
Rapid Identification of Protein Formulations with Bayesian Optimisation. 776-781 - Hichem Bannour, Kesav Kancherla, Zhen Zhu:
Optimizing Audio Advertising Campaign Delivery with a Limited Budget. 782-787 - Paulo H. J. Amorim, Thiago F. Moraes, Jorge Vicente Lopes da Silva, Hélio Pedrini:
Epileptic Electroencephalogram Signal Classification Based on Shearlet and Contourlet Transforms. 788-793 - Corentin Boidot, Olivier Augereau, Pierre De Loor, Riwal Lefort:
Benefits of Using Multiple Post-Hoc Explanations for Machine Learning. 794-799 - Wei Chen, Yihui Ren, Ai Kagawa, Matthew R. Carbone, Samuel Yen-Chi Chen, Xiaohui Qu, Shinjae Yoo, Austin Clyde, Arvind Ramanathan, Rick L. Stevens, Hubertus Van Dam, Deyu Lu:
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats. 800-807 - Jawad Chowdhury, Gabriel Terejanu:
CD- NOTEARS: Concept Driven Causal Structure Learning Using NOTEARS. 808-813 - Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau:
HCT: Hybrid Convnet-Transformer for Parkinson's Disease Detection and Severity Prediction from Gait. 814-819 - Manfred Minimair, Richard J. Boergers, Michael Ciminiello, Emily Giannini, Natasha Rosa, Zachary Sylvester, Anthony Vischovich:
Machine Learning of Feature Importance for Biomechanical Efficiency of Baseball Pitching. 820-824 - Ankit Pratap Singh, Ronak Tali:
Byzantine Resilient Federated REINFORCE (GM-FedREINFORCE). 825-830 - Pouya Pezeshkpour:
Measuring and Modifying Factual Knowledge in Large Language Models. 831-838 - Max Klein, Niklas Dormagen, Andreas S. Schmitz, Markus H. Thoma, Mike Schwarz:
Machine Learning Approach for Particle Matching, Tracing and Velocimetry with Self-Organizing Map: Application to Complex Plasmas. 839-844 - Jinyoon Kim, Md Faisal Kabir:
Automated Data Labeling for Object Detection via Iterative Instance Segmentation. 845-850 - Saleh Almohaimeed, Shenyang Liu, May Alsofyani, Saad Almohaimeed, Liqiang Wang:
SIGMA: A Dataset for Text-to-Code Semantic Parsing with Statistical Analysis. 851-857 - Uma Chinta, Adham Atyabi:
Facial Expression Recognition Using Robust Attention-Based CNN. 858-863 - Hamed Alshammari, Ahmed EI-Sayed:
AIRABIC: Arabic Dataset for Performance Evaluation of AI Detectors. 864-870 - Kazuaki Furumai, Yanan Wang, Makoto Shinohara, Kazushi Ikeda, Yi Yu, Tsuneo Kato:
Detecting Dialogue Hallucination Using Graph Neural Networks. 871-877 - Thomas H. Schmitt, Maximilian Bundscherer, Tobias Bocklet:
Semmeldetector: Application of Machine Learning in Commercial Bakeries. 878-883 - Nassim Mokhtari, Vincent Fer, Alexis Nédélec, Marlène Gilles, Pierre De Loor:
Enhanced Spatio- Temporal Image Encoding for Online Human Activity Recognition. 884-889 - Yuwei Mao, Mahmudul Hasan, Claire Songhyun Lee, Muhammed Nur Talha Kilic, Vishu Gupta, Wei-Keng Liao, Alok N. Choudhary, Pinar Acar, Ankit Agrawal:
A Deep Learning Framework for Time-Series Processing-Microstructure-Property Prediction. 890-893 - Koki Sato, Naoki Oishi, Natsuru Futamata, Hiroshi Mineno:
Estimating Plant Physiological State by Learning Methods Considering Imbalance and Time-series. 894-899 - Stephen C. Adams, Tyler Cody, Ramin Salman Roughani, Peter A. Beling:
Transfer Distance and Operating Envelopes to Detect Non-Stationarity in Cyber Environments. 900-907 - Christopher Vox, Onno Niemann, David Broneske, Jan Piewek, Andreas Udo Sass, Gunter Saake:
Knowledge Distillation for Quantized Vehicle Sensor Data. 908-915 - Maxwell Mai, Shuai Luo, Shue Wang, Yulei Pang:
Identification of Adipogenic and Osteogenic Differentiation using transfer learning of ResNet-18. 916-921 - Isabel Zimmerman, Julia Silge, Paniz Abedin, Reinaldo Sanchez-Arias:
Meta-Analysis of the Machine Learning Operations Open Source Ecosystem. 922-925 - Kiana Sharifpour, Salim Lahmiri:
Fake Review Detection Using Rating-Sentiment Inconsistency. 926-931 - Nazmul Kazi, Indika Kahanda, S. Indu Rupassara, John W. Kindt:
Zero-Shot Information Extraction with Community-Fine-Tuned Large Language Models From Open-Ended Interview Transcripts. 932-937 - Nichal Narotamo, David Aparício, Tiago Mesquita, Mariana Almeida:
Intent Detection at Scale: Tuning a Generic Model using Relevant Intents. 938-943 - Mona Esmaeili, Zeinab Akhavan, Hamid Nasiri, Yonatan Melese Worku, Sisay Tadesse Arzo, Andreas Stavropoulos, Michael Devetsikiotis, Payman Zarkesh-Ha:
Medical Asset Management: Deep Learning Based Asset Usage Prediction in a Hospital Setting Using Real Data. 944-951 - Sreenivasa Upadhyaya, Wim Buyens, Erik Vranken, Wim Desmet, Peter Karsmakers:
Assessment of Data Augmentation and Transfer Learning for Making PIG Cough Classifier Robust to Changing Farm Conditions. 952-957 - Danushka Senarathna, Rezoan Ferdous, Spyros Tragoudas:
An Enhanced YOLO Failure Detection Method. 958-965 - Naveed Tahir, Yang Liu, Tiexing Wang, Garrett E. Katz, Biao Chen:
An Unsupervised Approach to Motion Detection Using WiFi Signals. 966-972 - Hriday R. Nagrani, Dhaval K. Patel, Kashish D. Shah, Harsh A. Patel, Manob Jyoti Saikia:
Facial Expression Recognition using Convolutional Neural Network through Region-based Patch Generation: Harnessing Subtle Facial Cues. 973-979 - Peter Clapham, Marek Grzes:
Posterior Collapse in Variational Gradient Origin Networks. 980-987 - Muhammad Naveed Abbas, Paul Liston, Brian Lee, Yuansong Qiao:
Benchmarking Communicative Reinforcement Learning Frameworks on Multi-Robot Cooperative Tasks. 988-993 - Katarzyna Borowiec, Dan Lu, Vikas Chandan, Samrat Chatterjee, Pradeep Ramuhalli, Ramakrishna Tipireddy, Mahantesh Halappanavar, Frank Liu:
Accelerating Scientific Simulations with Bi-Fidelity Weighted Transfer Learning. 994-999 - Nicholas Solovyev, Ryan Barron, Manish Bhattarai, Maksim Ekin Eren, Kim Ø. Rasmussen, Boian S. Alexandrov:
Interactive Distillation of Large Single-Topic Corpora of Scientific Papers. 1000-1005 - Abu Kaisar Mohammad Masum, Anshul Maurya, Dhruthi Sridhar Murthy, Pratibha, Naveed Mahmud:
Hybrid Quantum-Classical Machine Learning for Sentiment Analysis. 1006-1011 - Shengzhe Jiao, Yihong Zhang, Takahiro Hara:
Multi-Modal Relational Side Information Graph Attention Networks for Recommender System. 1012-1017 - Gal Blecher, Shai Fine:
MoEAtt: A Deep Mixture of Experts Model using Attention-based Routing Gate. 1018-1024 - Muhammed Adil Yatkin, Mihkel Kõrgesaar:
Fracture Estimation Based on Deformation History with Recurrent Neural Networks. 1025-1030 - Ardian Selmonaj, Oleg Szehr, Giacomo Del Rio, Alessandro Antonucci, Adrian Schneider, Michael Rüegsegger:
Hierarchical Multi-Agent Reinforcement Learning for Air Combat Maneuvering. 1031-1038 - Motahareh Pourbehzadi, Moez Farokhnia Hamedani, Giti Javidi, Kimberly Johnson:
The Impact of Racial Disparities on Prenatal Care Adequacy: An Algorithmic Fairness Perspective. 1039-1044 - Timo Markert, Elias Hoerner, Sebastian Matich, Andreas Theissler, Martin Atzmueller:
Robotic Peg-in-Hole Insertion with Tight Clearances: A Force-based Deep Q-Learning Approach. 1045-1051 - Carol M. Kiekhaefer, Farhad Pourkamali-Anaraki:
Advancing Precision Medicine: An Evaluative Study of Feature Selection Methods. 1052-1059 - Iliya Kulbaka, Ayan Dutta, Ladislau Bölöni, O. Patrick Kreidl, Swapnoneel Roy:
CNN-LSTM-Based Deep Recurrent Q-Learning for Robotic Gas Source Localization. 1060-1065 - Elli Valla, Henry Laur, Sven Nõmm, Kadri Medijainen, Pille Taba, Aaro Toomela:
Deep Learning Based Segmentation of Luria's Alternating Series Test to Support Diagnostics of Parkinson's Disease. 1066-1071 - Amadi Gabriel Udu, Andrea Lecchini-Visintini, Maryam Khaksar Ghalati, Hongbiao Dong:
Addressing Class Imbalance in Aeroengine Fault Detection. 1072-1077 - Md. Al Maruf, Akramul Azim, Nitin Auluck, Mansi Sahi:
Towards Safe Online Machine Learning Model Training and Inference on Edge Networks. 1082-1089 - Shintaro Tanaka, Hitoshi Iima:
Accelerated Text Data Augmentation Using a Paraphrase Generation Model with Round-Trip Translation as a Supervisor. 1090-1093 - Parth Ganeriwala, Siddhartha Bhattacharyya, Sean Gunther, Brian Kish, Mohammed Abdul Hafeez Khan, Ankur Dhadoti, Natasha A. Neogi:
AssistTaxi: A Comprehensive Dataset for Taxiway Analysis and Autonomous Operations. 1094-1099 - Jeremy Cantor, O. Patrick Kreidl, John Nuszkowski, Alan Harris, Ayan Dutta:
A Lightweight Deep Recurrent Q-Learning Technique for Autonomous Wildfire Surveillance. 1100-1105 - Ramiro Liscano, Aritra Ahmed, Joseph Robertson, Akramul Azim, Vijay Sundaresan, Yee-Kang Chang:
A Lock Contention Classifier Based on Java Lock Contention Anti-Patterns. 1106-1113 - Nader Joojili, Alexis Amezaga Hechavarria, Omair Shafiq, Akram Bin Sediq, Peiliang Chang, Hatem Abou-Zeid:
Hybrid Wavelet Transform and Deep Stacking Ensemble Model for Network Traffic Prediction. 1114-1119 - Hongzhi Zhang, M. Omair Shafiq:
ConKGP: A Contrastive Learning Framework on Knowledge Graphs for Commonsense Reasoning with Perturbation. 1120-1125 - Jacqueline Höllig, Steffen Thoma, Florian Grimm:
XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series Classification. 1126-1131 - Conrad Testagrose, Athlene V. Jones, Indika Kahanda:
Patronizing and Condescending Language Detection. 1132-1137 - Rockwell T. Li, Shashika Wijerathna, Yuan Zhang:
Breaking the Limits of Scanning Tunneling Microscopy Using Image Super Resolution. 1138-1143 - Tahani Baabdullah, Danda B. Rawat, Chunmei Liu, Amani Alzahrani, Aeman Almotairi:
Analysis of Cardholder Spending Behavior and Transaction Authentication to Enhance Credit Card Fraud Detection. 1144-1149 - Manikandan Ravikiran, Soumen Biswas, Ananth Ganesh:
Hi-GoTE: Hierarchical Group-Wise Temporal Ensembling for Semi-Supervised Pedestrian Attribute Recognition. 1150-1155 - Jan Marius Stürmer, Marius Graumann, Tobias Koch:
Demonstrating Automated Generation of Simulation Models from Engineering Diagrams. 1156-1162 - Sabtain Ahmad, Atakan Aral:
Hierarchical Federated Transfer Learning: A Multi-Cluster Approach on the Computing Continuum. 1163-1168 - Ibrahim Shoer, Gihad N. Sohsah, Merih Oztaylan, Zeina Termanini:
User-Centric Synthetic Road Network Generation Using Graph Neural Networks and Graph Autoencoders. 1169-1174 - Behnam Nikbakhtbideh, Linda Duffett-Leger, Mohammad Moshirpour:
Behavior Analysis of Parent-Child Interactions from Text. 1175-1180 - Ali Zafari, Atefeh Khoshkhahtinat, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Michael S. F. Kirk, Daniel Da Silva:
Multi-Spectral Entropy Constrained Neural Compression of Solar Imagery. 1181-1188 - Thummachart Sunksuwan, Thidarat Yukoet, Rattanakorn Sadakorn, Thannawat Wongwatanakul, Rattanaporn Fakon, Viet Tinh Nguyen, Rujira Chaysiri:
Utilizing Machine Learning to Enhance Profit Generation from Technical Trading Rules in Portfolio Construction within the Stock Exchange of Thailand. 1189-1193 - Ronak Barati, Linda Duffett-Leger, Mahtab Moshirpour, Mohammad Moshirpour:
Impact of Stress on Sleep Levels: A Comparative Machine Learning Study Based on Wearable Data. 1194-1199 - Daniel C. Da Costa, Ricardo B. C. Prudêncio, Alexandre Mota:
Assessor Models with a Reject Option for Soccer Result Prediction. 1200-1205 - MirHamed Jafarzadeh Asl, Mohammadhadi Shateri, Fabrice Labeau:
$\alpha$ - Mutual Information: A Tunable Privacy Measure for Privacy Protection in Data Sharing. 1206-1211 - David J. Castrejon, Connor Wang, Denys Osmak, Bhumil Kukadiya, Li Liu, Mario Giraldo, Xunfei Jiang:
Machine Learning-based California Wildfire Risk Prediction and Visualization. 1212-1217 - Alina-Irina Serban, Helen Lai, Sarah Daniels, Rafael A. Calvo, David J. Sharp, Eyal Soreq:
Identifying Household Fingerprint Using Intelligent Passive Monitoring for People Living with Dementia. 1218-1223 - Naga Jyothirmayee Dodda, Ziad Kobti:
Many-to-One: Transformer-based unsupervised anomaly detection and localization on industrial images. 1224-1227 - Kamyar Zeinalipour, Tommaso Iaquinta, Giovanni Angelini, Leonardo Rigutini, Marco Maggini, Marco Gori:
Building Bridges of Knowledge: Innovating Education with Automated Crossword Generation. 1228-1236 - Syed Hammad Ahmed, Shengnan Hu, Gita Sukthankar:
The Potential of Vision-Language Models for Content Moderation of Children's Videos. 1237-1241 - Rose Atuah, Martin Pineda, Daniel McKirgan, Qianlong Wang, Michael P. McGuire:
Tropical Cyclone Intensity Forecasting Using Deep Learning. 1242-1247 - Pouya Hosseinzadeh, Omar Bahri, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi:
METFORC: Classification with Meta-Learning and Multimodal Stratified Time Series Forest. 1248-1252 - Adarsha Balaji, Prasanna Balaprakash:
Application - Hardware Co-Optimization of Crossbar-Based Neuromorphic Systems. 1253-1260 - Ebelechukwu Nwafor, Carter Schmidt, Habeeb Olufowobi:
IoT-MGSec: Mitigating Man-in-the-Middle Attacks in IoT Networks Using Graph-Based Learning. 1261-1266 - Bulent Soykan, Ghaith Rabadi:
Optimizing Multi Commodity Flow Problem Under Uncertainty: A Deep Reinforcement Learning Approach. 1267-1272 - Cory Davis, Patrick M. Stockton, Eugene John:
Profiling Analysis for Enhancing the Performance of Graph Neural Networks. 1273-1278 - Amanda Carp, Joel Brynielsson, Agnes Tegen:
Active Learning for Improvement of Classification of Cyberthreat Actors in Text Fragments. 1279-1286 - Khalil Bachiri, Faouzi Boufarès, Maria Malek, Nicoleta Rogovschi, Ali Yahyaouy:
Multi -View Clustering Using Sparse Non-Negative Matrix Factorization for Recommendation Systems. 1287-1294 - Srinath Sai Tripuraneni, Sadia Kamal, Arunkumar Bagavathi:
Quantitative Analysis of Forecasting Models: In the Aspect of Online Political Bias. 1295-1299 - Munjur Hasan, Md Saifur Rahman, Sabrina Islam, Tanvir Ahmed, Nafiz Rifat, Mostofa Ahsan, Rahul Gomes, Md Minhaz Chowdhury:
Vision Transformer-based Classification for Lung and Colon Cancer using Histopathology Images. 1300-1304 - Taiki Inoue, Jun Ogata, Makoto Iida, Tetsuji Ogawa:
Learning Discriminative Feature Representations via Metric Learning for Early Operation of Wind Turbine Anomaly Detection Systems. 1305-1310 - Tarek Ramadan, Ankur Lahiry, Tanzima Z. Islam:
Novel Representation Learning Technique Using Graphs for Performance Analytics. 1311-1318 - Mohammad Munzurul Islam, Mohammed Alawad:
Node Selection in Federated Learning Using Sparsity Regularization and Compressive Sensing. 1319-1323 - Maria Barger, Randy C. Paffenroth, Harsh Nilesh Pathak:
Conditioned Cycles in Sparse Data Domains: Applications to Electromagnetics. 1324-1331 - Mohamed Elamine Khoudour, Ismaïl Biskri:
Detection of Coronavirus Disease (COVID-19) Based on Deep Features and Support Vector Machine*. 1332-1337 - Jingjing Wang, Joshua Luo, Grace Yang, Allen Hong, Feng Luo:
Is GPT Powerful Enough to Analyze the Emotions of Memes? 1338-1343 - Michael Ajao-Olarinoye, Vasile Palade, Seyed Mousavi, Fei He, Petra A. Wark:
Deep Learning Based Forecasting of COVID-19 Hospitalisation in England: A Comparative Analysis. 1344-1349 - Jason Zhang, Adrian Barbu:
Reliable Classification using Compact Support Probabilistic PCA. 1350-1354 - Advait Gupta, Manan Padsala, Aastha Shayla, Tanmay Bisen, Susham Biswas, Abhemanyu Sarin:
From Sky to Strategy: Construction Activity Index and Stage Estimation From Drone-Captured Imagery. 1355-1362 - Stephan Matzke, Christian Pionzewski, Jérôme Rutinowski, Firdes Çelik, Markus König:
Re-identification Robustness Over Time - The Case for Synthetic Training Data. 1363-1370 - Vinaya Sree Katamneni, Ajita Rattani:
MIS-AVoiDD: Modality Invariant and Specific Representation for Audio-Visual Deepfake Detection. 1371-1378 - Andre Gustavo Hochuli, Jean Paul Barddal, Gillian Cezar Palhano, Leonardo Matheus Mendes, Paulo Ricardo Lisboa de Almeida:
Deep Single Models vs. Ensembles: Insights for a Fast Deployment of Parking Monitoring Systems. 1379-1384 - Rishabh Chandaliya, Mohan Timilsina, John G. Breslin, Martin Serrano:
Towards Graph-Based Semi-Supervised Learning on Audio Embeddings for Label Classification. 1385-1391 - Mohammadreza Mohammadi, Sheng-En Huang, Titon Barua, Ioannis M. Rekleitis, Md Jahidul Islam, Ramtin Zand:
Caveline Detection at the Edge for Autonomous Underwater Cave Exploration and Mapping. 1392-1398 - Menouar Azib, Benjamin Renard, Philippe Garnier, Vincent Génot, Nicolas André:
A Comprehensive Python Library for Deep Learning-Based Event Detection in Multivariate Time Series Data. 1399-1404 - Faraz Moghimi, Reid A. Johnson, Andy Krause:
Rethinking Real Estate Pricing with Transformer Graph Neural Networks (T-GNN). 1405-1411 - Daniel Silva, Georgios Agrotis, Regina Beets-Tan, Luís F. Teixeira, Wilson Silva:
Attention-Based Regularisation for Improved Generalisability in Medical Multi-Centre Data. 1412-1417 - Manish Bhurtel, Yuba Raj Siwakoti, Danda B. Rawat, Brian M. Sadler, John M. Fossaceca, Daniel O. Rice:
Toward Scene Understanding with Depth and Object-Aware Clustering in Contested Environment. 1418-1425 - Daegil Choi, Gengjia Zhang, Jaehyo Jung:
Depression Diagnosis Algorithm Based on R2U-Net Using Facial Images. 1426-1429 - Rosina F. Kharal:
Towards Augmentation Based Defense Strategies Against Adversarial Attacks. 1430-1437 - Mustafa Atay, Megh Poudyel:
Evaluating Impact of Wearing Masks in Face Recognition Using Deep Learning Algorithms. 1438-1443 - Chandana Priya Nivarthi, Bernhard Sick:
Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholding. 1444-1450 - Wonjun Lee, Yung Ryn Choe, Raiat Subhra Ghosh:
Recurrent Neural Network and Convolutional Neural Network for Detection of Denial of Service Attack in Microservices. 1451-1456 - Irfan Raiab Bhat, M. Arif Wani:
Modified Grouped Convolution-Based EfficientNet Deep Learning Architecture for Apple Disease Detection. 1465-1472 - Nadir Debbagh, Sébastien Warichet, Emmanuel Helbert, Asma Trabelsi:
Sentence Embedding with Named Entities for Conversation Fingerprint. 1473-1480 - Kishore Surendra, Achim Schilling, Paul Stoewer, Andreas Maier, Patrick Krauss:
Word class representations spontaneously emerge in a deep neural network trained on next word prediction. 1481-1486 - Marília Costa Rosendo Silva, Vitor Augusto de Oliveira, Thiago Alexandre Salgueiro Pardo:
A Sentiment Analysis Benchmark for Automated Machine Learning Applications. 1487-1494 - Qianli Hu, Jiangning Chen, Haoyan Zhai, Wei Luo, Juntao Duan:
Gaussian Process with Correlation Factor for Text Classification Problem. 1495-1500 - Atharva R. Manjrekar, Swapna S. Gokhale, Richard A. Wilson:
Detection of Anti-Human Rights Discourse from Colombian Social Media Conversations Using Advanced Transformer Models. 1501-1507 - Anna Koufakou, Diego Grisales, Ragy Costa de Jesus, Oscar Fox:
Data Augmentation for Emotion Detection in Small Imbalanced Text Data. 1508-1513 - Guna Sekaran Jaganathan, Grentina Kilungeja, Indika Kahanda:
UNF-IDT: Automated Irony Detection in English Tweets. 1514-1519 - Kamalakkannan Ravi, Adan Ernesto Vela, Elizabeth Jenaway, Steven Windisch:
Exploring Multi-Level Threats in Telegram Data with AI-Human Annotation: A Preliminary Study. 1520-1527 - Ali Pesaranghader, Nikhil Verma, Manasa Bharadwaj:
GPT-DETOX: An In-Context Learning-Based Paraphraser for Text Detoxification. 1528-1534 - Tim Stadtmann, Benedikt Wahl, Tobias Gemmeke:
NoisyDECOLLE: Robust Local Learning for SNNs on Neuromorphic Hardware. 1535-1540 - Guojing Cong, Shruti R. Kulkarni, Seung-Hwan Lim, Prasanna Date, Shay Snyder, Maryam Parsa, Dominic Kennedy, Catherine D. Schuman:
Hyperparameter Optimization and Feature Inclusion in Graph Neural Networks for Spiking Implementation. 1541-1546 - Heath Smith, James Seekings, Mohammadreza Mohammadi, Ramtin Zand:
Realtime Facial Expression Recognition: Neuromorphic Hardware vs. Edge AI Accelerators. 1547-1552 - Desta Haileselassie Hagos, Earl Tankard, Manish Bhurtel, Danda B. Rawat:
Optimal Asynchronous Federated Learning for the Internet of Battlefield Things (IoBT). 1553-1559 - Shahrzad Sayyafzadeh, Hongmei Chi, Weifeng Xu, Kaushik Roy:
BERT-Based Sentiment Forensics Analysis for Intrusion Detection. 1560-1567 - Keyan Guo, Alexander Hu, Jaden Mu, Ziheng Shi, Ziming Zhao, Nishant Vishwamitra, Hongxin Hu:
An Investigation of Large Language Models for Real-World Hate Speech Detection. 1568-1573 - Raubertin Randrianandraina, Julien Chapuy, Lala H. Rajaoarisoa, Moamar Sayed Mouchaweh:
Wind Turbine Generator Bearing Anomaly Detection and Explanation Using RRCF Approach. 1574-1581 - Amir Behbahanian, Ron Lundstrom, Adrian Belanger, Paul Dalfonso, Robert Coleman:
PIPENet: A Semantic Segmentation Approach to Pipeline Component Detection from Magnetic Flux Leakage Readings. 1582-1588 - Maria Barger, Patrick Bidigare, D. Richard Brown, Ilana Heintz, Randy C. Paffenroth, Evan C. Witz:
Overwater Emitter Localization with a Single Receiver using Neural Network Modeling. 1589-1594 - Longfei Zhou, Zhanghao Qin, Ping Xia, Jiabao Liu, Weihao Cheng, Yunwei Li, Leyi Ying, Qian Liu, Mengxin Liu, Gezhang Song, Zebo Huang, Zhou Hao:
General Model for Manufacturing Defect Detection Crossing Multiple Products. 1595-1600 - Serkan Macit, Burak Berk Üstündag:
Performance Improvement in Time Series Prediction through PECNET Framework. 1601-1605 - Maysa Khalil, Mohammad Azzeh:
Truth Seeker of the Largest Social Media Content using Machine Learning Algorithms. 1606-1610 - Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick:
DADO - Low-Cost Query Strategies for Deep Active Design Optimization. 1611-1618 - Majid Shirazi, Georgij Safronov, Amr Risk:
Incremental Domain Learning for Surface Quality Inspection of Automotive High Voltage Battery. 1619-1626 - Abdi Yamil Vicenciodelmoral, Md. Mehedi Hasan Tanim, Feng Zhao, Xinghui Zhao:
A Machine Learning Approach to Support Neuromorphic Device Design and Microfabrication. 1627-1634 - Fabian Fallas-Moya, Saúl Calderón Ramírez, Amir Sadovnik, Hairong Qi:
Object Detection in Pineapple Fields Drone Imagery Using Few Shot Learning and the Segment Anything Model. 1635-1642 - Srikumar Subramanian, Roshni R. Ramnani, Shubhashis Sengupta, Sangeeta Yadav:
Orbit Propagation from Historical Data using Physics-informed Neural ODEs. 1643-1648 - Biao Yin, Yangyang Fan, Nicholas Josselyn, Elke A. Rundensteiner:
AlloyGAN: Domain-Promptable Generative Adversarial Network for Generating Aluminum Alloy Microstructures. 1649-1655 - Jamalia Sultana, Mashiyat Nayeem, Mahmuda Naznin, Tanvir R. Faisal:
Semi-Supervised Learning Based Femur Segmentation from QCT Images. 1656-1661 - Biao Yin, Nicholas Josselyn, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner:
DeepSC-Edge: Scientific Corrosion Segmentation with Edge-Guided and Class-Balanced Losses. 1662-1668 - Allou Samé:
Detection of Exponential Regimes from Time Series for Characterizing the Thermal Dynamics of Buildings. 1669-1675 - Caesar Jude Clemente:
Utilizing Machine Learning Techniques in Predicting Job Viability of Information Technology Program Graduates. 1676-1683 - Hamza Aytaç Doganay, Halil-Ibrahim Bülbül:
Detection Success Assessment of Machine Learning Algorithms Through Manifest File Permissions Demanded by Malicious Android Wares. 1684-1686 - Nazmul Kazi, Indika Kahanda:
Enhancing Transfer Learning of LLMs through Fine- Tuning on Task - Related Corpora for Automated Short-Answer Grading. 1687-1691 - Thomas Trask:
A Comparative Analysis of Nature-Inspired Feature Selection Algorithms in Predicting Student Performance. 1692-1696 - Alexandra Boicu:
Modeling Student Improvement in Tests with Multiple Attempts. 1697-1701 - Andrew Kosikowski, Daniel Cho, Mabon Ninan, Anca L. Ralescu, Boyang Wang:
EvilELF: Evasion Attacks on Deep-Learning Malware Detection over ELF Files. 1702-1709 - Shanker Ram, Chen Qian:
A Study on the Vulnerability of Test Questions against ChatGPT-based Cheating. 1710-1715 - Joseph Accurso, Raul Mendy, Aira Torres, Yufei Tang:
A ChatGPT-like Solution for Power Transformer Condition Monitoring. 1716-1722 - Stephanie Abanilla, Moitrayee Chatterjee, Shuvalaxmi Dass:
Towards Privacy Preserving Financial Fraud Detection. 1723-1726 - Ruth Obe, Brandt Kaufmann, Kaelen Baird, Sam Kadel, Yasmin Soltani, Mostafa Cham, Matthias K. Gobbert, Carlos A. Barajas, Zhuoran Jiang, Vijay R. Sharma, Lei Ren, Stephen W. Peterson, Jerimy C. Polf:
Accelerating Real-Time Imaging for Radiotherapy: Leveraging Multi-GPU Training with PyTorch. 1727-1734 - Matthew Smith, Luke Zhao, Jonathan Cordova, Xunfei Jiang, Mahdi Ebrahimi:
Energy-Efficient GPU-Intensive Workload Scheduling for Data Centers. 1735-1740 - Ngoc Suong Huynh, Sebastian De La Cruz, Alexander Perez-Pons:
Denial-of Service (DoS) Attack Detection Using Edge Machine Learning. 1741-1745 - William Carpenter, Patrick Omodara, Radu F. Babiceanu, Laxima Niure Kandel:
An Extended Study of the Applications of Using Gesture Control to Pilot UAVs. 1746-1752 - Louis Lapp, Sahara Ali, Jianwu Wang:
Integrating Fourier Transform and Residual Learning for Arctic Sea Ice Forecasting. 1753-1758 - Ainara Garcia, Sihong Xie, Arielle Carr:
Implementing Recycling Methods for Linear Systems in Python with an Application to Multiple Objective Optimization. 1759-1764 - Alexander Flores, Anais Barja, Xianming Shi, Xinghui Zhao:
A Remote Sensing Framework for Automated Monitoring of Roadside Water Quality. 1765-1770 - Sasha Strelnikoff, Jiejun Xu, Alireza Esna Ashari:
Towards the Semantic Interpretation of Arbitrary Traffic Signs: Semantic Parsing for Action-oriented Signs. 1771-1777 - Harindu Jayarathne, Tharindu Samarakoon, Hasara Koralege, Asitha Divisekara, Ranga Rodrigo, Peshala Jayasekara:
DualCam: A Novel Benchmark Dataset for Fine-Grained Real-Time Traffic Light Detection. 1778-1783 - Feisi Fu, Panagiota Kiourti, Wenchao Li:
Dormant Neural Trojans. 1784-1791 - Bhavesh Singh Bisht, Iluju Kiringa, Tet Yeap:
Corn Yield Prediction using Spatial-Temporal Data and Deep Learning. 1792-1798 - Avirup Roy, Hrishikesh Dutta, Amit Kumar Bhuyan, Subir Kumar Biswas:
Semi-Supervised Learning Using Sparsely Labelled Sip Events for Online Hydration Tracking Systems. 1799-1804 - Tobias Deußer, Cong Zhao, Wolfgang Krämer, David Leonhard, Christian Bauckhage, Rafet Sifa:
Controlled Randomness Improves the Performance of Transformer Models. 1805-1810 - Vijay Arvind R, Haribharathi Sivakumar, Brindha R:
End-to-End Optimized Pipeline for Prediction of Protein Folding Kinetics. 1811-1816 - Kosuke Sugiyama, Masato Uchida:
Exploring Hessian Regularization in Mixup. 1817-1824 - Khaled Alomar, Xiaohao Cai:
TransNet: A Transfer Learning-Based Network for Human Action Recognition. 1825-1832 - Xiuxuan Sun, Jianhua Chen:
Graph Wavenet+TimeGrad Probabilistic Model for High-Dimensional Time Series Prediction. 1833-1838 - Saba Heidari Gheshlaghi, Nasim Yahyasoltani:
Robust and Transferable Graph Neural Networks for Medical Images. 1839-1844 - Shengbo Tong, Yuyang Xie, Shenghua Liu, Wenjian Yu, Jixuan Cai:
W3Detector: Detecting Fraudulent Online Sellers Based on Temporal and Spacial Information. 1845-1851 - Júlio César Mendes de Resende, Edimilson Batista dos Santos, Marcos Antonio de Matos Laia:
Combining Improvements in FQF Distributional Reinforcement Learning Algorithm. 1852-1858 - Richard C. Yarnell, Pierce Powell, Ronald F. DeMara, Annie S. Wu:
A Genetic Algorithm for Combinational Logic Circuit Synthesis Using Directed Graph Primitives. 1859-1866 - Bo Dong, Yiming Xu, Sunyi Chi, Zhenyu Shi, Zheng Du:
APAM: Adaptive Pre-Training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-Tailed Learning. 1867-1874 - Majid Shirazi, Georgii Safronov, Amr Rizk:
Multi-Modal Machine Learning for Navigating Noisy Objectives of Automotive Manufacturing Quality Inspection. 1875-1882 - Ifigenia Drosouli, Athanasios Voulodimos, Paris Mastorocostas, Georgios Miaoulis, Djamchid Ghazanfarpour:
A Graph Neural Network Based Learning Model for Urban Metro Flow Prediction. 1883-1888 - Mrinmay Sen, C. Gayatri:
FReNG: Federated Optimization by Using Regularized Natural Gradient Descent. 1889-1894 - Victor Akihito Kamada Tomita, Fábio Manoel França Lobato, Ricardo Marcondes Marcacini:
Weak Supervision for Question and Answering Sentiment Analysis. 1895-1900 - Zheng Zhang, Liangliang Xu, Yida Bao, Sanjeev Baskiyar:
Towards the Diagnosis of Heart Disease Using an Ensemble Learning Approach. 1901-1906 - Zheng Zhang, Amit Das, Mostafa Rahgouy, Yida Bao, Sanjeev Baskiyar:
Multi-Label Classification of CS Papers Using Natural Language Processing Models. 1907-1912 - Vitor dos Santos Amorim, Wyctor Fogos da Rocha, Flávio Tongo da Silva, Aalah Adam:
Detection of Anomalies in Civil Structures Using Machine Learning Models: Benchmark Study. 1913-1919 - Cristiano Mesquita Garcia, Alceu de Souza Britto Jr., Jean Paul Barddal:
Event-driven Sentiment Drift Analysis in Text Streams: An Application in a Soccer Match. 1920-1927 - Pantea Koochemeshkian, Nizar Bouguila:
Advancing Multinomial Regression and Topic Modeling with Beta-Liouville Distributions. 1928-1935 - Sen Jia, Homa Fashandi:
Revisiting Knowledge Graph Embedding: An Alternative Solution to Biased Visual Scene Graphs. 1936-1942 - João Pedro Novo, Manuel Goulão, Lourenço Bandeira, Bruno Martins, Arlindo L. Oliveira:
Augmentation-Based Approaches for Overcoming Low Visibility in Street Object Detection. 1943-1948 - Chunting Duan, Kazuhiko Komatsu, Masayuki Sato, Hiroaki Kobayashi:
Multi-scale Loss based Electron Microscopic Image Pair Matching Method. 1949-1956 - Salim Sazzed:
What Factors Influence the Popularity of User-Generated Text in the Creative Domain? A Case Study of Book Reviews. 1957-1962 - Kushal Sharma, Ang Li, Malcolm C. A. White, T. K. Satish Kumar:
A Study of Distance Functions in FastMapSVM for Classifying Seismograms. 1963-1970 - Diego Minatel, Antonio Rafael Sabino Parmezan, Mariana Curi, Alneu de Andrade Lopes:
Fairness-Aware Model Selection Using Differential Item Functioning. 1971-1978 - Jeovane Honório Alves, Horácio A. C. G. Pedroso, Rafael Honorio Venetikides, Joel E. M. Köster, Luiz Rodrigo Grochocki, Cinthia O. A. Freitas, Jean Paul Barddal:
Detecting Relevant Information in High- Volume Chat Logs: Keyphrase Extraction for Grooming and Drug Dealing Forensic Analysis. 1979-1985 - Guna Shekar M., Wonjun Lee, Sanjiv Kumar, Yanan Duan, Imtiaz Rangwala:
A Framework for Developing the Next Generation Interactive Soil Moisture Forecasting System Using the Long-Short Term Memory Model. 1986-1993 - Maryam Tavakol Elahi, WonSook Lee, Philippe Phan:
SAttisUNet: UNet-like Swin Transformer with Attentive Skip Connections for Enhanced Medical Image Segmentation. 1994-1999 - Arthur C. Gorgônio, Anne M. P. Canuto, Arthur Medeiros, Karliane M. O. Vale, Flavius L. Gorgônio:
Two Efficient Training Strategies for DyDaSL: A Dynamic Data Stream Learner Framework with Semi-Supervised Learning. 2000-2005 - Alex Morehead, Watchanan Chantapakul, Jianlin Cheng:
Semi-Supervised Graph Learning Meets Dimensionality Reduction. 2006-2013 - Hongbo Pang, Changcheng Huang:
A Two-Stage Deep Learning Framework for Enhanced Waste Detection and Classification. 2014-2021 - Meisam Jamshidi Seikavandi, Maria Jung Barret:
Gaze Reveals Emotion Perception: Insights from Modelling Naturalistic Face Viewing. 2022-2025 - Jovani Dalzochio, Rafael Kunst, Jorge L. V. Barbosa, Edison Pignaton de Freitas, Alécio P. D. Binotto:
MILPdM: A Predictive Maintenance Architecture for the Military Domain. 2026-2032 - Krish Nachnani:
Energy Efficient Learning Algorithms for Glaucoma Diagnosis. 2033-2038 - Gyeongeun Lee, Xunfei Jiang, Natalie Parde:
A Content-based Skincare Product Recommendation System. 2039-2043 - Mohammad Akyash, Ali Zafari, Nasser M. Nasrabadi:
Trading-Off Mutual Information on Feature Aggregation for Face Recognition. 2044-2051 - Hasan Huseyin Karaoglu, Ender Mete Eksioglu:
Parameter-Efficient Harmonic Networks for JPEG Compression Artifact Removal. 2052-2057 - Atefeh Khoshkhahtinat, Hoda Mohammadzade:
Dynamic Changes of Brain Network During Epileptic Seizure. 2058-2064 - Chukwuka Victor Obionwu, Taruna Tiwari, Bhavya Baburaj Chovatta Valappil, Nishanth Raikar, Damanpreet Singh Walia, S. M. Laique Abbas, Chukwuemeka E. Okafor, David Broneske, Gunter Saake:
A Domain Specific Students' Assistance System For The Provision Of Instructional Feedback. 2065-2070 - Talita Lôbo de Menezes, Nazareno Ferreira de Andrade, Fábio Jorge Almeida Morais:
The Effectiveness of Machine Learning to Estimate the Risk of Failure in Brazilian Public Contracts. 2071-2078 - Shamik Bhattacharjee, Utkarsh Thukral, Nilesh Patil:
Early Churn Prediction from Large Scale User-Product Interaction Time Series. 2079-2086 - Riccardo Pecori, Paolo Presti, Pietro Avanzini, Lerina Aversano, Fausto Caruana, Marta Cimitile, Debora Montano, Davide Ruzzon, Mario Luca Bernardi, Giovanni Vecchiato:
Machine and Deep Learning Techniques to Classify Arousal Judgments in Dynamic Virtual Experience of Architecture. 2087-2094 - Van Minh Nguyen, Nasheen Nur, William Stern, Thomas Mercer, Chiradeep Sen, Siddhartha Bhattacharyya, Victor Tumbiolo, Seng Jhing Goh:
Conceptualizing Suicidal Behavior: Utilizing Explanations of Predicted Outcomes to Analyze Longitudinal Social Media Data. 2095-2102 - Brendan Shen, Mikhail Y. Shalaginov, Tingying Helen Zeng:
Injury Risk Prediction in Soccer Using Machine Learning. 2103-2106 - Sadiq Uddin Bhuiyan, Mohammad Rakibul Hasan Mahin, Mir Jadir Siddique, Nahin Hossain, Shammo Faiyaz Ahmed, Mobashra Abeer, Annajiat Alim Rasel:
Breast Cancer Segmentation on Ultrasound Images using U-Net and Grad-CAM. 2107-2112 - Apiwat Ditthapron, Emmanuel O. Agu, Peder C. Pedersen, Clifford Lindsay, Bengisu Tulu, Diane M. Strong:
On Rejecting Low Quality Images to Improve Deep Smartphone Wound Assessment. 2113-2118 - Venkat Penmetsa, Lachin Fernando, Sindhu Ghanta:
Improving AML Diagnosis Precision: Deep Learning-Based Classification of Leukocyte Morphology and Malignancy. 2119-2124 - Behnam Nikbakhtbideh, Linda Duffett-Leger, Nicole Letourneau, Monica Oxford, Panagiota Tryphonopoulos, Mohammad Moshirpour:
An Ensemble Model for the Analysis of Parent-Child Interactions from Text and Audio. 2133-2140 - Sophia Zorek, Shengxin Luo, Vanessa Aguiar-Pulido:
Few-Shot Image Classification for Rare Ocular Disease with an Ensemble of Pretrained Feature Extractors and a Statistical Classifier. 2141-2146 - Prajwol Lamichhane, Indika Kahanda:
Enhancing Health Information Retrieval with Large Language Models: A Study on MedQuAD Dataset. 2147-2152 - Anvesh Matta, Michael Suesserman, David McNamee, Daniel Lasaga, Dan Olson, Edward Bowen, Sanmitra Bhattacharya:
Embedding Representations of Diagnosis Codes for Outlier Payment Detection. 2153-2160 - Jose M. Ruiz Mejia, Danda B. Rawat:
Automated Machine Learning Based Triage for Decision Support in Clinical and Urgent Care. 2161-2166 - Karthik Reddy Kanjula, Ashok Raju Datla, Tianjie Chen, Md Faisal Kabir:
An Edge Internet of Things Framework for Machine Learning-Based Skin Cancer Detection Models. 2167-2173 - Aakash Varma Nadimpalli, Ajita Rattani:
Facial Forgery-Based Deepfake Detection Using Fine-Grained Features. 2174-2181 - Mehwish Tahir, Yuansong Qiao, Nadia Kanwal, Brian Lee, Mamoona Naveed Asghar:
VidSearch: Privacy-by-Design Video Search and Retrieval System for Large-Scale CCTV Data. 2182-2187 - Nitin Sharan, Thomas Quig, Eric Goodman, Yung Ryn Choe, Dalton A. Brucker-Hahn:
Raw Packet Data Ingestion with Transformers for Malicious Activity Classifications. 2188-2193 - Collin Connors, Dilip Sarkar:
Machine Learning for Detecting Malware in PE Files. 2194-2199 - Fabian Martin Ramos, Xinyuan Wang:
Detecting Stealthy Cobalt Strike C&C Activities via Multi-Flow based Machine Learning. 2200-2206 - Amine Hattak, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Benchmarking YOLO Models for Automatic Reading in Smart Metering Systems: A Performance Comparison Analysis. 2207-2213 - Fiammetta Marulli, Pierluigi Paganini, Fabio Lancellotti:
Exploring the Faithfulness of Synthetic Data by Generative Models. 2214-2221 - David L. Pereira Gomes, André Grégio, Marco Antonio Zanata Alves, Paulo R. Lisboa de Almeida:
Efficient Prequential AUC-PR Computation. 2222-2227 - Ankit Sharma, Thiruvengadam Samon, Akhash Vellandurai, Vinoth Kumar:
TA-SAITS: Time Aware-Self Attention based Imputation of Time Series algorithm for Partially Observable Multi -Variate Time Series. 2228-2233 - Rajat Verma, Ankit Sharma, K. R. Sheetal Kumar, Vinoth Kumar, Nakao Ryohei, Abhishek Kumar:
Optimizing Bus Fleet Operations for Prolonged Battery Life: A Genetic Algorithm Approach. 2234-2239 - Marcos Pastorini, Angela Gorgoglione, Rafael Rodríguez, Lorena Etcheverry, Alberto Castro:
Evaluating the Performance of Classification Algorithms for Land-Cover Classification. 2240-2246 - Salim Sazzed:
Comprehending Lexical and Affective Ontologies in the Demographically Diverse Spatial Social Media Discourse. 2247-2252 - Alexander Li, Mikhail Y. Shalaginov, Andrew Tao, Tingying Helen Zeng:
Investigation of Racial Bias in Property Crime Prediction by Machine Learning Models. 2253-2256 - Anwar Said, Mudassir Shabbir, Tyler Derr, Waseem Abbas, Xenofon D. Koutsoukos:
Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation. 2257-2264
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-06-16 20:50 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
