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ORCID33rd ICTAI 2021: Washington, DC, USA
- 33rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2021, Washington, DC, USA, November 1-3, 2021. IEEE 2021, ISBN 978-1-6654-0898-1
- Fatoumata Dama, Christine Sinoquet:
Prediction and Inference in a Partially Hidden Markov-switching Framework with Autoregression. Application to Machinery Health Diagnosis. 1-9 - Connor Shorten, Taghi M. Khoshgoftaar:
Investigating the Generalization of Image Classifiers with Augmented Test Sets. 10-17 - Pascal Colling, Matthias Rottmann, Lutz Roese-Koerner, Hanno Gottschalk:
False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation. 18-25 - Jan Motl, Pavel Kordík:
Stratified Cross-Validation on Multiple Columns. 26-31 - Gaël Aglin
, Siegfried Nijssen, Pierre Schaus:
Assessing Optimal Forests of Decision Trees. 32-39 - Hongru Liu, Zhezhou Yu, Xiaowei Xu, Yuanyuan Guan, Boxiang Zhang, Wenhui Li:
Global Attention Augmentation Ghost Module: More Features from Lightweight Global Attention Extraction. 40-48 - Antoine de Mathelin, Guillaume Richard, François Deheeger, Mathilde Mougeot, Nicolas Vayatis:
Adversarial Weighting for Domain Adaptation in Regression. 49-56 - Lijun Xia, Chao Yu, Zifan Wu:
Inference-based Hierarchical Reinforcement Learning for Cooperative Multi-agent Navigation. 57-64 - Liang Zhao, Sheng Han, Youfang Lin:
Collision-aware Multi-robot Motion Coordination Deep-RL with Dynamic Priority Strategy. 65-72 - Douae Ahmadoun, Elise Bonzon, Cédric Buron, Pavlos Moraitis, Pierre Savéant, Onn Shehory:
Decentralized Coalition Structure Formation for Interdependent Tasks Allocation. 73-80 - Ido Shapira, Amos Azaria:
Autonomous Agents for The Single Track Road Problem. 81-85 - ShiQing Gao, Fufei Yao, Yaoru Sun, Haibo Shi:
Expert-guided Policy Optimization by Latent Space Planning with Attention. 86-90 - Pavel Surynek:
Sparse Real-time Decision Diagrams for Continuous Multi-Robot Path Planning. 91-96 - David W. Ludwig II, Lucas W. Remedios, Joshua L. Phillips:
A Neurobiologically-inspired Deep Learning Framework for Autonomous Context Learning. 97-104 - Yunfeng Wang, Yuelong Zhu, Tingting Hang, Jun Feng, Jiamin Lu:
Incorporating Proportional Sparse Penalty for Causal Structure Learning. 105-112 - Sergio Peignier, Baptiste Sorin, Federica Calevro:
Ensemble Learning Based Gene Regulatory Network Inference. 113-120 - Maxence Grand, Humbert Fiorino, Damien Pellier:
IncrAMLSI: Incremental Learning of Accurate Planning Domains from Partial and Noisy Observations. 121-128 - Yllias Chali, Asif Mahmud:
Query-Based Summarization using Reinforcement Learning and Transformer Model. 129-136 - Baturay Saglam, Enes Duran, Dogan Can Çiçek, Furkan B. Mutlu, Suleyman S. Kozat:
Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic Methods. 137-144 - Benying Li, Aimei Dong:
Multi-task learning with Attention : Constructing auxiliary tasks for learning to learn. 145-152 - Min Min Chan, Amanda Yun Rui Lam, David Carmody, Marcus Eng Hock Ong, Yingtian Zou, Wynne Hsu, Mong-Li Lee:
Recurrent Temporal Point Process Network for First and Repeated Clinical Events. 153-160 - Zaihui Fei, Shuangcheng Jia, Qian Li:
Research on GNSS/DR method based on B-spline and optimized BP neural network. 161-168 - Chenqi Xie, Ping Yi, Baowen Zhang, Futai Zou:
DeepMark: Embedding Watermarks into Deep Neural Network Using Pruning. 169-175 - Weinan Wang, Yuhang Guo, Wei Ju, Xiao Luo, Minghua Deng:
An Interpretation of Convolutional Neural Networks for Motif Finding from the View of Probability. 176-183 - Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier:
Grad Centroid Activation Mapping for Convolutional Neural Networks. 184-191 - Shiqi Guo, Tong Lin:
An Efficient non-Backpropagation Method for Training Spiking Neural Networks. 192-199 - Samuel Teuber, Marko Kleine Büning, Philipp Kern, Carsten Sinz:
Geometric Path Enumeration for Equivalence Verification of Neural Networks. 200-208 - Jennie Andersen, Brice Chardin, Mohamed Tribak:
Clustering to the Fewest Clusters Under Intra-Cluster Dissimilarity Constraints. 209-216 - Zahra Salekshahrezaee, Joffrey L. Leevy, Taghi M. Khoshgoftaar:
Feature Extraction for Class Imbalance Using a Convolutional Autoencoder and Data Sampling. 217-223 - Chenghu Du, Feng Yu, Yadong Chen, Minghua Jiang, Xiong Wei, Tao Peng, Xinrong Hu:
VTON-HF: High Fidelity Virtual Try-on Network via Semantic Adaptation. 224-231 - Marco Dalla, Andrea Visentin, Barry O'Sullivan:
Automated SAT Problem Feature Extraction using Convolutional Autoencoders. 232-239 - Tuan Nguyen Quoc, Katsumi Inoue, Chiaki Sakama:
Linear Algebraic Computation of Propositional Horn Abduction. 240-247 - Marco Faella, Alberto Finzi, Luigi Sauro:
A practical query selection framework for real-time Bayesian preference elicitation. 248-255 - Steven D. Prestwich:
Unsupervised Constraint Acquisition. 256-262 - Roman Barták, Simona Ondrcková, Gregor Behnke, Pascal Bercher:
On the Verification of Totally-Ordered HTN Plans. 263-267 - Zhilei Peng, Guixing Wu, Fengliang Xia:
Clustering Shift Graph Convolutional Network for Taxi Origin-Destination Demand Prediction. 268-272 - Chao Gao, Tong Mo, Taylor Zowtuk, Tanvir Sajed, Laiyuan Gong, Hanxuan Chen, Shangling Jui, Wei Lu:
Bansor: Improving Tensor Program Auto-Scheduling with Bandit Based Reinforcement Learning. 273-278 - Michal Vavrecka, Nikita Sokovnin, Megi Mejdrechova, Gabriela Sejnova:
MyGym: Modular Toolkit for Visuomotor Robotic Tasks. 279-283 - Xiaoyu Wei, Jun Li, Zhigao Zeng:
Multi-step preferred elite-guided firefly algorithm. 284-288 - Jiashi Gao, Xinming Shi, James J. Q. Yu:
Attn-CommNet: Coordinated Traffic Lights Control On Large-Scale Network Level. 289-293 - Oscar Fernandez-Ramos, Diego Johnson-Yañez, Willy Ugarte:
Reproducing arm movements based on Pose Estimation with robot programming by demonstration. 294-298 - Dionisios N. Sotiropoulos, George A. Tsihrintzis, Maria Virvou, Evangelia-Aikaterini Tsichrintzi:
Machine Learning in Intangible Cultural Analytics: The Case of Greek Songs' Lyrics. 299-305 - Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, George A. Tsihrintzis:
Biomarker-based deep learning for personalized nutrition. 306-313 - Rui Yang, Feng Luo, Xiu Li:
Combining Hindsight with Goal-enhanced Prediction for Multi-goal Reinforcement Learning. 314-321 - Sayda Elmi, Karim Benouaret, Kian-Lee Tan:
Social and Spatio-Temporal Learning for Contextualized Next Points-of-Interest Prediction. 322-329 - Laura Verde, Gennaro Raimo, Federica Vitale, Bruno Carbonaro, Gennaro Cordasco, Stefano Marrone, Anna Esposito:
A Lightweight Machine Learning Approach to Detect Depression from Speech Analysis. 330-335 - Quansen Wang:
Learning From Other Labels: Leveraging Enhanced Mixup and Transfer Learning for Twitter Sentiment Analysis. 336-343 - Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora:
Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks. 344-351 - Hailun Zhan, Zhiming Ding, Mengmeng Chang, Xinhui Liu:
POI Recommend for Deep Neural Network Based on Explicit and Implicit Feature Joint. 352-358 - Peizhen Liu, Wen Yu:
CapsRec: A Capsule Graph Neural Network Model for Social Recommendation. 359-363 - Roxane Desrousseaux, Gilles Bernard, Jean-Jacques Mariage:
Profiling Money Laundering with Neural Networks: a Case Study on Environmental Crime Detection. 364-369 - Mohamed Saadeldin, Brian MacNamee:
An Orthogonal Classification Layer with Kasami Sequences for Discriminative Feature Learning in Neural Networks. 370-375 - Zulong Ma, Jiamin Lu, Jun Feng, Yunfei Zhang, Wei Wu:
Semantic-based Bidirectional Adversarial Neural Topic Model. 376-380 - Dimitrios Melissourgos, Hanzhi Gao, Chaoyi Ma, Shigang Chen, Samuel S. Wu:
On Outsourcing Artificial Neural Network Learning of Privacy-Sensitive Medical Data to the Cloud. 381-385 - Bunchalit Eua-Arporn, Shao-Lun Huang, Ercan Engin Kuruoglu:
Enhancing Neural Network Based Hybrid Learning with Empirical Wavelet Transform for Time Series Forecasting. 386-390 - Nathan Thom, Hung Nguyen, Emily M. Hand:
Consensus Subspace Clustering. 391-395 - Frédéric Lardeux, Éric Monfroy:
Optimized models and symmetry breaking for the NFA inference problem. 396-403 - Matthieu Py, Mohamed Sami Cherif, Djamal Habet:
Computing Max-SAT Refutations using SAT Oracles. 404-411 - Laurent Parmentier, Olivier Nicol, Laetitia Jourdan, Marie-Eléonore Kessaci:
AutoTSC: Optimization Algorithm to Automatically Solve the Time Series Classification Problem. 412-419 - Dan Li, Shuang Liu, Zhengxin Lyu, Weilai Xiang, Wei He, Fengqi Liu, Zhen Zhang:
Use mean field theory to train a 200-layer vanilla GAN. 420-426 - Yang You, Vincent Thomas, Francis Colas, Olivier Buffet:
Solving infinite-horizon Dec-POMDPs using Finite State Controllers within JESP. 427-434 - Keren Nivasch, Amos Azaria:
A Deep Genetic Method for Keyboard Layout Optimization. 435-441 - Biraj Subhra Guha, Anirban Bhattacharya, Debdeep Pati:
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting. 442-446 - Jan Hula, David Mojzísek, Mikolás Janota:
Graph Neural Networks for Scheduling of SMT Solvers. 447-451 - José S. da Silva Neto, Ticiana L. Coelho da Silva, Lívia Almada Cruz, Vinicius Monteiro de Lira, José Antônio Fernandes de Macêdo, Regis Pires Magalhães, Lucas Gaspar Peres:
Predicting the Next Location for Trajectories From Stolen Vehicles. 452-456 - Ruiyang Wang, Ming Li, Pin Zhang, Fan Wen:
Graph Partition Convolution Neural Network for Pedestrian Trajectory Prediction. 457-462 - Fateh Boulmaiz, Stéphane Ploix, Patrick Reignier:
A data-Driven approach for guiding the occupant's actions to achieve better comfort in buildings. 463-468 - Guillaume Lorthioir, Katsumi Inoue:
A Robust Approach to Noise for Plan Recognition in RTS Games. 469-474 - Pierre Romet, Romain Tabusse, Franck Gechter, El-Hassane Aglzim, Samir Jemei, David Bouquain, Daniela Chrenko:
Autonomous Electric Vehicle Routing Problem using Ant Colony Optimization with consideration of the Battery State-of-Health. 475-480 - Marika Ivanová, Pavel Surynek:
Adversarial Multi-Agent Path Finding is Intractable. 481-486 - Michal Nekvinda, Roman Barták:
Contingent Planning for Robust Multi-Agent Path Finding. 487-492 - Ruiqi Dai, Mathieu Lefort, Frédéric Armetta, Mathieu Guillermin, Stefan Duffner:
Novelty detection for unsupervised continual learning in image sequences. 493-500 - Pankaj Khanchandani, Oliver Richter, Lukas Rusch, Roger Wattenhofer:
Learning Algorithms with Self-Play: A New Approach to the Distributed Directory Problem. 501-505 - Chao Huang, Long Wang, Xiong Luo, Hongcai Zhang, Yonghua Song:
Evolutionary computing assisted deep reinforcement learning for multi-objective integrated energy system management. 506-511 - Rhian Taylor, Varun Ojha, Ivan Martino, Giuseppe Nicosia:
Sensitivity Analysis for Deep Learning: Ranking Hyper-parameter Influence. 512-516 - Zhicheng Tang, Yang Zhang, Yizhen Wang, Yi Shang, Reid Viegut, Elisabeth Webb, Andrew Raedeke, Joel Sartwell:
sUAS and Machine Learning Integration in Waterfowl Population Surveys. 517-521 - Chenggang He, Chris H. Q. Ding, Sibao Chen, Bin Luo:
Intelligent Machine Learning System for Predicting Customer Churn. 522-527 - Nikolaos Dionelis, Mehrdad Yaghoobi, Sotirios A. Tsaftaris:
Few-Shot Adaptive Detection of Objects of Concern Using Generative Models with Negative Retraining. 528-535 - Min Zhang, Xiaohan Liu, Chenyu Liu, Xueqi Zhang, Haiyong Xie:
FST-Net: Exploiting Frequency Spatial Temporal Information for Low-Quality Fake Video Detection. 536-543 - Lujun Li, Ludwig Kürzinger, Tobias Watzel, Gerhard Rigoll:
A Global Discriminant Joint Training Framework for Robust Speech Recognition. 544-551 - Bo Li, Ling Bai, Yang Wang, Zhe Wu, Tong Lin:
A Supervisory Mask Attentional Network for Person Re-Identification in Uniform Dress Scenes. 552-559 - Athanasios Giannikis, Efthimios Alepis, Maria Virvou:
Crowdsourcing Recognized Image Objects In Mobile Devices Through Machine Learning. 560-567 - Michail S. Alexiou, Nikolaos G. Bourbakis:
An Evaluation of Methods on Detecting, Recognizing and Understanding Graphics Images in Technical Documents. 568-574 - Shouhong Wan, Peiyi Zhang, Peiquan Jin, Pengcheng Ding:
A Part Invariance Network for Cross-Domain Person Re-identification. 575-581 - Amel Hidouri, Saïd Jabbour, Jerry Lonlac, Badran Raddaoui:
A Constraint-based Approach for Enumerating Gradual Itemsets. 582-589 - Zhou Shao, Junyan Liu, Tong Lin:
Stochastic Euler Heavy Ball Method. 590-597 - Mohamed-Bachir Belaid, Nadjib Lazaar:
Constraint Programming for Itemset Mining with Multiple Minimum Supports. 598-603 - Noah Rubin, Curtis Bright, Kevin K. H. Cheung, Brett Stevens:
Improving Integer and Constraint Programming for Graeco-Latin Squares. 604-608 - Dehong Ma, Bo Ding, Dawei Feng, Hui Liu:
EAD: An Efficient Anomaly Detection Algorithm for Multivariate Time Series. 609-613 - Jan Motl, Pavel Kordík:
Aggregate Function Generalization to Temporal Data. 614-618 - Jianqi Gao, Xiangfeng Luo, Hao Wang, Zijian Wang:
Causal Event Extraction using Iterated Dilated Convolutions with Semantic Convolutional Filters. 619-623 - Liande Bi, Xin Sun, Fei Zhou, Junyu Dong:
Hierarchical Triplet Attention Pooling for Graph Classification. 624-631 - Matthieu Py, Mohamed Sami Cherif, Djamal Habet:
Inferring Clauses and Formulas in Max-SAT. 632-639 - Qi Hong, Zhongyuan Wang, Jianyu Chen, Baojin Huang:
Cross-View Gait Recognition Based on Feature Fusion. 640-646 - April Hua Liu, Xiaoyue Fang:
A Dirichlet Policy Reuse Approach for Financial Markets. 647-654 - Yuanshao Zhu, Christos Markos, James J. Q. Yu:
Improving Transportation Mode Identification with Limited GPS Trajectories. 655-660 - Ashok Raja, Laurent Njilla, Jiawei Yuan:
Blur the Eyes of UAV: Effective Attacks on UAV-based Infrastructure Inspection. 661-665 - Nan Ke, Tong Lin, Zhouchen Lin:
Channel-Weighted Squeeze-and-Excitation Networks For Epileptic Seizure Detection. 666-673 - Martin Pilát:
Training Electric Vehicle Charging Controllers with Imitation Learning. 674-681 - Pedro H. A. D. de Melo, Adriano Araújo Martins de Resende, Rodrigo Sanches Miani, Pedro Frosi Rosa:
Evaluation of one-class algorithms for anomaly detection in home networks. 682-689 - Mounir Atiq, Sergio Peignier, Mathilde Mougeot:
Constrained prediction time random forests using equivalent trees and genetic programming: application to fall detection model embedding. 690-697 - Zilan Huang, Luoyi Zhang, Yi Zhang, Shuwei Qian, Chong-Jun Wang:
Transformer based Multi-output Regression Learning for Wastewater Treatment. 698-703 - Armin Sadreddin, Samira Sadaoui:
Incremental Feature Learning Using Constructive Neural Networks. 704-708 - Yang Li, Xiangfeng Luo, Shaorong Xie:
Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning. 709-713 - Chin-Wing Leung, Shuyue Hu, Ho-fung Leung:
Formal Modeling of Reinforcement Learning with Many Agents through Repeated Local Interactions. 714-718 - Hieu D. Nguyen, Mohammed Sarosh Khan, Nicholas Kaegi, Shen-Shyang Ho, Jonathan Moore, Logan Borys, Lucas Lavalva:
Ensemble Learning using Error Correcting Output Codes: New Classification Error Bounds. 719-723 - Yu Luo, Weifeng Xu, Dianxiang Xu:
Detecting Integer Overflow Errors in Java Source Code via Machine Learning. 724-728 - Haojie Guo, Zhe Guo, Zhaojun Pan, Xuewen Liu:
Bilateral Res-Unet for Image Colorization with Limited Data via GANs. 729-735 - Weiqiang Jin, Hang Yu, Xiangfeng Luo:
CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector. 736-744 - Rui Wang, Jun Feng, Qirong Bu:
Fashion Landmark Detection via Deep Residual Spatial Attention Network. 745-752 - Yuzhen Zhang, Guanqun Liu, Yanyan Zhao, Daren Zha, Xin Wang, Lin Zhao, Lei Wang:
FRAGAN-VSR: Frame-Recurrent Attention Generative Adversarial Network for Video Super-Resolution. 753-757 - Kehao Wang, Ruiqi Ren, Chenglin Li:
Multi-task Scale Adaptive Ladder Network for Crowd Counting. 758-762 - Xiaomao Zhou, Wei Wang, Bing Du:
PSG-GAN: Progressive Person Image Generation with Self-Guided Local Focuses. 763-769 - Weiqing Huang, Miao Jiang, Min Li, Bo Meng, Junxing Ren, Shixian Zhao, Ruwen Bai, Yang Yang:
Causal Intervention for Object Detection. 770-774 - Dogan Can Çiçek, Enes Duran, Baturay Saglam, Kagan Kaya, Furkan B. Mutlu, Suleyman S. Kozat:
AWD3: Dynamic Reduction of the Estimation Bias. 775-779 - Jules Leguy, Béatrice Duval, Benoit Da Mota, Thomas Cauchy:
Surrogate-Based Black-Box Optimization Method for Costly Molecular Properties. 780-785 - Amélie Barbe, Paulo Gonçalves, Marc Sebban, Pierre Borgnat, Rémi Gribonval, Titouan Vayer:
Optimization of the Diffusion Time in Graph Diffused-Wasserstein Distances: Application to Domain Adaptation. 786-790 - Leila Amgoud:
Explaining Black-box Classification Models with Arguments. 791-795 - Hiba Hajri, Jean-Philippe Poli, Laurence Boudet:
Towards Monotonous Functions Approximation from Few Data With Gradual Generalized Modus Ponens: Application to Materials Science. 796-800 - Jan Wehner, Michael Sioutis, Diedrich Wolter:
On Robust Vs Fast Solving of Qualitative Constraints. 801-805 - Yo Ehara:
LURAT: a Lightweight Unsupervised Automatic Readability Assessment Toolkit for Second Language Learners. 806-814 - Nathalie Chetcuti-Sperandio, Alix Goudyme, Sylvain Lagrue, Tiago de Lima:
Checking Agent Intentions in Games. 815-822 - Leopoldo Melo Junior, José Antônio Fernandes de Macêdo, Franco Maria Nardini, Chiara Renso:
RMkNN and KNORA-IU: Combining Imbalanced Dynamic Selection Techniques for Credit Scoring. 823-830 - Jing Wang, Gangdu Liu, Jun Wu, Caiyan Jia, Zhifei Zhang:
Self-supervised Variational Autoencoder for Recommender Systems. 831-835 - Leonardo Vilela Cardoso, Silvio Jamil Ferzoli Guimarães, Zenilton K. G. do Patrocínio:
Enhanced-Memory Transformer for Coherent Paragraph Video Captioning. 836-840 - Marcin Kapcia, Hassan Eshkiki, Jamie Andrew Duell, Xiuyi Fan, Shang-Ming Zhou, Benjamin Mora:
ExMed: An AI Tool for Experimenting Explainable AI Techniques on Medical Data Analytics. 841-845 - Fred Gonsalves, Bastien Pasdeloup, Romain Billot, Patrick Meyer, Arnaud Jacques, Matthieu Lorang:
New Insights into the Propulsion Power Prediction of Cruise Ships. 846-850 - Subhadip Maji, Anudeep Srivatsav Appe, Raghav Bali, Arijit Ghosh Chowdhury, Veera Raghavendra Chikka, Vamsi M. Bhandaru:
An Interpretable Deep Learning System for Automatically Scoring Request for Proposals. 851-855 - Zahra Safavifar, Saeedeh Ghanadbashi, Fatemeh Golpayegani:
Adaptive Workload Orchestration in Pure Edge Computing: A Reinforcement-Learning Model. 856-860 - Meryem Janati Idrissi, Ismail Berrada, Guevara Noubir:
FEDBS: Learning on Non-IID Data in Federated Learning using Batch Normalization. 861-867 - Xiaoyang Gao, Siqi Chen, Yan Zheng, Jianye Hao:
A deep reinforcement learning-based agent for negotiation with multiple communication channels. 868-872 - Yuhang Du, Wenfeng Shen, Baohua Liu, Weijia Lu, Hao Gong:
Dual Batch Size Training: An efficient MGD adaptive batch size method. 873-879 - Abhishek Dhankar, Hamman Samuel, Fahim Hassan, Nawshad Farruque, François Bolduc, Osmar Zaïane:
Analysis of COVID-19 Misinformation in Social Media using Transfer Learning. 880-885 - Gang Wang, Haibo Shi, Yufei Chen:
Self-Augmentation with Dual-Cycle Constraint for Unsupervised Image-to-Image Generation. 886-890 - Huachi Xu, Dianxi Shi, Luoxi Jing, Cong Liu:
Polar Loss for Event-Based Object Detection. 891-895 - Chenyi Wang, Jie Guo, Weidong Qiu, Zheng Huang, Yuhang Yang:
Terroristic Content Detection using a Multi-scene classification system. 896-901 - Junliang Chen, Xiaodong Zhao, Linlin Shen:
Delving into the Scale Variance Problem in Object Detection. 902-909 - Keqing Jian, Shenglin Gui:
Object and Contour Detection with an Architecture-Fusion Network. 910-914 - Md. Sharitul Alam, Dadong Wang, Arcot Sowmya:
Bidirectional Convolutional-LSTM based Network for lung segmentation of chest X-ray images. 915-919 - Nikolaos Gkorgkolis, Nikolaos G. Bourbakis:
Evaluating Methodologies on Deep Understanding of Mathematical Formulas in Technical Documents. 920-926 - Leonidas Akritidis, Miltiadis Alamaniotis, Athanasios Fevgas, Panayiotis Bozanis:
A Scalable Short-Text Clustering Algorithm Using Apache Spark. 927-934 - Fuad Rahman, Abrar Rahman, A. K. M. Shahariar Azad Rabby, Md Jamiur Rahman Rifat, Mridul Banik, Md. Majedul Islam, Aminul Islam, Nor Azriah Aziz, Rick Meyer, John Kriak, Sidney Goldblatt:
Disease Modeling with a Forest Deep Neural Network Utilizing NLP and a Virtualized Clinical Semantic Network. 935-942 - Peng Guo:
Quantum-inspired Hierarchical Attention Mechanism for Question Answering. 943-950 - Megan Thornton, Sophie Gao, Yiu-Kai Ng:
A Simple, Concise, Query-based Approach to News Article Summarization Using Sentence Scoring. 951-958 - Ming Liu, Bo Wang, Qiang Gao, Li Zhang, Xingchen Lin, Bo Lang:
Bridging Text Space and Knowledge Space via Transference Methods. 959-964 - Shezheng Song, Changjian Wang, Dongsong Zhang, Zhen Huang, Yuxing Peng:
T-Mask: An Active and Accurate Dialogue State Tracking with Token Mask Prediction. 965-971 - Wenjuan Han, Hwee Tou Ng:
Diversity-Driven Combination for Grammatical Error Correction. 972-979 - Asia Flores, Brandon Hall, Luke Carter, Maxwell Lanum, Rishi Narahari, Garrett Goodman:
Verum Fitness: An AI Powered Mobile Fitness Safety and Improvement Application. 980-984 - Gilberto Olimpio, Pedro F. C. Silva, Lásaro J. Camargos, Rodrigo Sanches Miani, Elaine Ribeiro de Faria:
Intrusion Detection over Network Packets using Data Stream Classification Algorithms. 985-990 - Marie Chantelle Cruz Medina, João Fausto Lorenzato de Oliveira:
A hybrid system for Lithium-ion battery State-of-Charge univariate forecasting. 991-995 - Lakmini Wijesekara, Liwan Liyanage:
Air quality data pre-processing: A novel algorithm to impute missing values in univariate time series. 996-1001 - Zhenda Hu, Zhaoxia Wang, Seng-Beng Ho, Ah-Hwee Tan:
Stock Market Trend Forecasting Based on Multiple Textual Features: A Deep Learning Method. 1002-1007 - David Sosvald, Michal Töpfer, Jan Holan, Vojtech Cerný, Jakub Gemrot:
Super Mario A-Star Agent Revisited. 1008-1012 - Pengcheng Liu, Zhen Han, Meimei Li, Meichen Liu:
FHSR: A Successful Application of Deep Learning Technology in Signal Retrieval. 1013-1017 - Kaoru Shimada, Takaaki Arahira, Shogo Matsuno:
Evolutionary Method for Two-dimensional Associative Local Distribution Rule Mining. 1018-1025 - Qianqian Zhang, Zhuoming Xu, Hanlin Liu, Yan Tang:
KGAT-SR: Knowledge-Enhanced Graph Attention Network for Session-based Recommendation. 1026-1033 - Wessel Radstok, Mel Chekol, Yannis Velegrakis:
Leveraging Static Models for Link Prediction in Temporal Knowledge Graphs. 1034-1041 - Zhijie Wen, Qi Zhang, Wei Wang, Liyan Ma:
Few-Shot Classification With Intra-Class Unrelated Multi-Prototype Representation and Episode Adaptation Strategy. 1042-1049 - Zhijuan Du:
Zero or few shot knowledge graph completions by text enhancement with multi-grained attention. 1050-1058 - Zhi Zeng, Linyun Ye, Ruigang Liu, Ziwen Cui, Minghao Wu, Ying Sha:
Fake News Detection by Using Common Latent Semantics Matching Method. 1059-1066 - Panteleimon Krasadakis, Vassilios S. Verykios, Evangelos Sakkopoulos:
Resolving Infeasibility in Linear Programs for the Frequent Itemset Hiding Problem. 1067-1074 - Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder:
Code-based Algorithm for Coalition Structure Generation. 1075-1082 - Lei Zhang, Na Jiang, Qishuai Diao, Danyang Huang, Zhong Zhou, Wei Wu:
Object Quality Guided Feature Fusion for Person Re-identification. 1083-1087 - Jinky G. Marcelo, Gian Marco I. Te, Macario O. Cordel II, Joel P. Ilao:
Concealed Objects in a Scene: A Closer Look at the Localization Block of Object Detection Models. 1088-1092 - Sikai Tao, Ruixun Zhang, Yumeng Li:
Detection of Defect Proportion for Workpiece Surface Based on a Fusion Prediction Model. 1093-1098 - Jingjun Qiu, Yan Gao:
User-Guided Image Inpatinting with Transformer. 1099-1104 - Hongyu Li, Youhui Guo, Yu Zhou, Weiping Wang:
Density-Net: A Density-Aware Network for 3D Object Detection. 1105-1112 - Guowei Chen, Jianbo Su:
Towards Non-Ambiguous Reverse Dictionary. 1113-1120 - Bashar Talafha, Muhy Eddin Za'ter, Samer Suleiman, Mahmoud Al-Ayyoub, Mohammed N. Al-Kabi:
Sarcasm Detection and Quantification in Arabic Tweets. 1121-1125 - Hao Zhang, You Zhou, Jie Wang:
Contextual Networks and Unsupervised Ranking of Sentences. 1126-1131 - F. N. U. Shweta, Andrea Belz:
Computational Linguistic Analysis of Submitted SEC Information (CLASSI). 1132-1137 - Yipeng Yu, Zixun Sun, Chi Sun, Wenqiang Liu:
Hierarchical Multilabel Text Classification via Multitask Learning. 1138-1143 - Chau Nguyen, Vu D. Tran, Minh Le Nguyen:
Enrichment of Features for Malware-Related Sentence Classification using External Knowledge. 1144-1148 - Jonathan Demke, Robert Morain, Connor Wilhelm, Dan Ventura:
Multi-agent Story-based Settlement Generation. 1149-1153 - Mihai Alexandru Niculescu, Stefan Ruseti, Mihai Dascalu:
RoGPT2: Romanian GPT2 for Text Generation. 1154-1161 - Jia Xu, Jing Liu, Pin Lv, Panyuan Yang:
Improving Peer Assessment Accuracy by Incorporating Grading Behaviors. 1162-1169 - Xinyu Zhou, Yanlin Wu, Hu Peng, Shuixiu Wu, Mingwen Wang:
An individual-dependent differential evolution with dual information guidance. 1170-1177 - Jianwei Zhou, Da Yang, Zhenglong Cui, Sizhe Wang, Hao Sheng:
LRFNet: An Occlusion Robust Fusion Network for Semantic Segmentation with Light Field. 1178-1168 - Gregory Martin, Matthieu Donain, Élisa Fromont, Tias Guns, Laurence Rozé, Alexandre Termier:
Prediction-Based Fleet Relocation for Free Floating Car Sharing Services. 1187-1191 - Gangdu Liu, Jing Wang, Jun Wu:
Multi-Aspect Heterogeneous Graph Convolutional Network for Recommendation*. 1192-1196 - Ralf Luis de Moura, Virginia N. L. Franqueira, Gustavo Pessin:
Towards Safer Industrial Serial Networks: An Expert System Framework for Anomaly Detection. 1197-1205 - Limengzi Yuan, Qifeng Zhu, Yuchen Zheng, Wutong Dong, Yuxian Ke, Zhigang Li:
Temporal Smoothness Framework: Analyzing and Exploring Evolutionary Transition Behavior in Dynamic Networks. 1206-1210 - Wenxing Hong, Shuyan Li, Zhiqiang Hu, Abdur Rasool, Qingshan Jiang, Yang Weng:
Improving Relation Extraction by Knowledge Representation Learning. 1211-1215 - Krzysztof Kutt, Piotr Nowara, Rafal Szczur, Grazyna Barnowska, Grzegorz J. Nalepa:
Smart Data for Goods and Vehicle Monitoring - Practical Considerations on Data Semantization. 1216-1220 - Kong Wei Kun, Teeradaj Racharak, Yiming Cao, Peng Cheng, Minh Le Nguyen:
KGWE: A Knowledge-guided Word Embedding Fine-tuning Model. 1221-1225 - Shusaku Egami, Satoshi Nishimura, Ken Fukuda:
A Framework for Constructing and Augmenting Knowledge Graphs using Virtual Space: Towards Analysis of Daily Activities. 1226-1230 - Zhenda Hu, Yinglin Wang:
Utilizing External Knowledge with Multi-granularity Attention for Review Reading Comprehension. 1231-1236 - Zhiwen Xiao, Jianbin Jiao:
Interpretable Credit Risk Assessment Based on Heuristic Knowledge Extraction Method. 1237-1241 - Panagiotis Oikonomou, Kostas Kolomvatsos, Christos Anagnostopoulos, Nikos Tziritas, Georgios Theodoropoulos:
A Probabilistic Batch Oriented Proactive Workflow Management. 1242-1246 - Manon Césaire, Lucas Schott, Hatem Hajri, Sylvain Lamprier, Patrick Gallinari:
Stochastic sparse adversarial attacks. 1247-1254 - Dogan Can Çiçek, Enes Duran, Baturay Saglam, Furkan B. Mutlu, Suleyman S. Kozat:
Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms via Batch Prioritized Experience Replay. 1255-1262 - Maximiliano Miranda, Antonio A. Sánchez-Ruiz, Federico Peinado:
Interactive Explainable Case-Based Reasoning for Behavior Modelling in Videogames. 1263-1270 - Changjian Wang, Dongsong Zhang, Shezheng Song, Zhen Huang, Yuxing Peng:
SEED: A Cross-Layer Semantic Enhanced SLU Model With Role Context Differentiated Fusion. 1271-1278 - Kira Maag:
False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates. 1279-1286 - Qian Sun, Ziman Yang, Pei Li, Mengmeng Li, Ben Zhao:
SAdvGAN : Multiple Information Fusion For Adversary Generation. 1287-1294 - Erwan Bourrand, Luis Galárraga, Esther Galbrun, Élisa Fromont, Alexandre Termier:
Discovering Useful Compact Sets of Sequential Rules in a Long Sequence. 1295-1299 - Nausheen Saba Shahid, Dan O'Keeffe, Kostas Stathis:
Game-theoretic Simulations with Cognitive Agents. 1300-1305 - Fodil Benali, Damien Bodénès, Cyril De Runz, Nicolas Labroche:
An Enhanced R-NSGA-II For Multiple Brands Advertising Campaign Allocation Problem. 1306-1310 - Artur Galvão Hallberg, Eduardo Gabriel Cortes, Dante Augusto Couto Barone:
An analysis of Twitter users opinions on vaccines using Machine Learning techniques. 1311-1315 - Kritika Venkatachalam, Raghava Mutharaju, Sumit Bhatia:
SERC: Syntactic and Semantic Sequence based Event Relation Classification. 1316-1321 - Bartosz Wójcik, Pawel Morawiecki, Marek Smieja, Tomasz Krzyzek, Przemyslaw Spurek, Jacek Tabor:
Adversarial Examples Detection and Analysis with Layer-wise Autoencoders. 1322-1326 - Carmela Comito, Deborah Falcone, Agostino Forestiero:
Diagnosis Detection Support based on Time Series Similarity of Patients Physiological Parameters. 1327-1331 - Sihem Belabbes, Salem Benferhat:
An Efficient Algorithm for Computing Elected Assertions in Partially Preordered Ontologies. 1332-1336 - Bedor Alyahya, Alexander Brodsky:
A Decision Guidance System for Optimal Infrastructure Investments. 1337-1342 - Shuyuan Xu, Linsen Li, Hangjun Yang, Junhua Tang:
KCC Method: Unknown Intrusion Detection Based on Open Set Recognition. 1343-1347 - Luigi Portinale, Samuele Brondolin:
Clustering Users by exploiting Activity Tracks in Recommender Systems for SME. 1348-1352 - Ioannis Hatzilygeroudis, Jim Prentzas:
AI Approaches for the Prognosis of the Survival (or Not) of Patients with Bone Metastases. 1353-1357 - Panagiotis Fountas, Kostas Kolomvatsos:
Proactive, Correlation Based Anomaly Detection at the Edge. 1358-1362 - Efi Kafali, Theodoros Semertzidis, Petros Daras:
Delayed Adversarial Training with Non-Sequential Adversarial Epochs. 1363-1367 - Shaoshen Wang, Yanbin Liu, Ling Chen, Chengqi Zhang:
Cross-aligned and Gumbel-refactored Autoencoders for Multi-view Anomaly Detection. 1368-1375 - Dionisios N. Sotiropoulos, Michael Papasimeon, Gregory Koronakos:
A Genetically Evolved Measure of Credit-Risk. 1376-1383 - Aimilios Tzavaras, Nikolaos Mainas, Fotios Bouraimis, Euripides G. M. Petrakis:
OpenAPI Thing Descriptions for the Web of Things. 1384-1391 - Konstantina Chrysafiadi, Maria Virvou:
Evaluating the learning outcomes of a fuzzy-based Intelligent Tutoring System. 1392-1397 - Jun He, Li Peng, Bo Sun, Lejun Yu, Yinghui Zhang:
Automatically Predict Question Difficulty for Reading Comprehension Exercises. 1398-1402 - Yitzhak Spielberg, Amos Azaria:
Revelation of Task Difficulty in Al-aided Education. 1403-1408 - Haoran Qi, Huanrong Zhang, Zhi Jin:
SemFSR: An Unsupervised Face SR with Semantic Features for Multiple Degradations. 1409-1416 - Alisson Renan Svaigen, Lailla M. S. Bine, Gisele L. Pappa, Linnyer Beatrys Ruiz, Antonio A. F. Loureiro:
Automatic Drone Identification Through Rhythm-based Features for the Internet of Drones. 1417-1421 - Baudouin Dafflon, Maxime Guériau, Yacine Ouzrout, Sylvain Touchard:
PAMELA: a generic and light multi-agent platform. 1422-1426 - Robert K. L. Kennedy, Justin M. Johnson, Taghi M. Khoshgoftaar:
The Effects of Class Label Noise on Highly-Imbalanced Big Data. 1427-1433 - Dejiang Xu, Mong-Li Lee, Wynne Hsu:
Classification with Dynamic Data Augmentation. 1434-1441 - Aymeric Côme, Jerry Lonlac:
Extracting Frequent (Closed) Seasonal Gradual Patterns Using Closed Itemset Mining. 1442-1448 - Justin M. Johnson, Taghi M. Khoshgoftaar:
Output Thresholding for Ensemble Learners and Imbalanced Big Data. 1449-1454 - Yutong Li, Hari Bommaganti, Himanshu Yadava:
A Multi-Perspective Distributed Mining Framework for Scalable Search Spell Correction. 1455-1460 - Hui Xue, Bo Sun, Chengxiang Si, Wei Zhang, Jing Fang:
DBUL: A User Identity Linkage Method across Social Networks Based on Spatiotemporal Data. 1461-1465 - Nirmalie Wiratunga, Anjana Wijekoon, Ikechukwu Nkisi-Orji, Kyle Martin, Chamath Palihawadana, David Corsar:
DisCERN: Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods. 1466-1473 - Guang Yang, Yang Li, Di'an Fei, Tian Huang, Qingyun Li, Xingguo Chen:
DHQN: a Stable Approach to Remove Target Network from Deep Q-learning Network. 1474-1479 - Zongmin Li, Yupeng Zhang, Yun Bai:
Geometric Invariant Representation Learning for 3D Point Cloud. 1480-1485
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