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