ECAI - RankMe – RankMe

409 papers

Year	Title / Authors
2020	A Compact Spectral Descriptor for Shape Deformations. Skylar Sible, Rodrigo Iza-Teran, Jochen Garcke, Nikola Aulig, Patricia Wollstadt
2020	A Conditional Perspective for Iterated Belief Contraction. Kai Sauerwald, Gabriele Kern-Isberner, Christoph Beierle
2020	A Convergent Off-Policy Temporal Difference Algorithm. Raghuram Bharadwaj Diddigi, Chandramouli Kamanchi, Shalabh Bhatnagar
2020	A Formal Model of Affordances for Flexible Robotic Task Execution. Daniel Beßler, Robert Porzel, Mihai Pomarlan, Michael Beetz, Rainer Malaka, John A. Bateman
2020	A Framework for Determining the Fairness of Outlier Detection. Ian Davidson, S. S. Ravi
2020	A Fuzzy Inference System for a Visually Grounded Robot State of Mind. Avinash Kumar Singh, Neha Baranwal, Kai-Florian Richter
2020	A Goal-Oriented Framework for Knowledge Invention and Creative Problem Solving in Cognitive Architectures. Eleonora Chiodino, Antonio Lieto, Federico Perrone, Gian Luca Pozzato
2020	A Graph-Based Measurement for Text Imbalance Classification. Jiachen Tian, Shizhan Chen, Xiaowang Zhang, Zhiyong Feng
2020	A Hash Learning Framework for Search-Oriented Knowledge Graph Embedding. Meng Wang, Tongtong Wu, Guilin Qi
2020	A Knowledge-Based System for the Dynamic Generation and Classification of Novel Contents in Multimedia Broadcasting. Eleonora Chiodino, Davide Di Luccio, Antonio Lieto, Alberto Messina, Gian Luca Pozzato, Davide Rubinetti
2020	A Lagrangian Approach to Information Propagation in Graph Neural Networks. Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini, Marco Gori
2020	A Lightweight Recurrent Attention Network for Real-Time Guidewire Segmentation and Tracking in Interventional X-Ray Fluoroscopy. Yan-Jie Zhou, Xiao-Liang Xie, Gui-Bin Bian, Zeng-Guang Hou
2020	A Logic of Explicit and Implicit Distributed Belief. Andreas Herzig, Emiliano Lorini, Elise Perrotin, Fabián Romero, François Schwarzentruber
2020	A Multi-Task Learning Neural Network for Emotion-Cause Pair Extraction. Sixing Wu, Fang Chen, Fangzhao Wu, Yongfeng Huang, Xing Li
2020	A Multilayered Informative Random Walk for Attributed Social Network Embedding. Sambaran Bandyopadhyay, Anirban Biswas, Harsh Kara, M. N. Murty
2020	A Neural Topical Expansion Framework for Unstructured Persona-Oriented Dialogue Generation. Minghong Xu, Piji Li, Haoran Yang, Pengjie Ren, Zhaochun Ren, Zhumin Chen, Jun Ma
2020	A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive. Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2020	A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage. Siyuan Chen, Jiahai Wang, Xin Du, Yanqing Hu
2020	A Region Selection Model to Identify Unknown Unknowns in Image Datasets. Xiao Dong, Huaxiang Zhang, Gianluca Demartini
2020	A Shared-Word Sensitive Sequence-to-Sequence Features Extractor for Sentences Matching. Jinqing Li, Dakui Wang, Xiaojun Chen, Pencheng Liao, Shujuan Chen
2020	A Syntactic Approach for Privacy-Preserving Federated Learning. Olivia Choudhury, Aris Gkoulalas-Divanis, Theodoros Salonidis, Issa Sylla, Yoonyoung Park, Grace Hsu, Amar Das
2020	A Text-Based Deep Reinforcement Learning Framework for Interactive Recommendation. Chaoyang Wang, Zhiqiang Guo, Jianjun Li, Peng Pan, Guohui Li
2020	A Two-Stage Multi-Objective Deep Reinforcement Learning Framework. Diqi Chen, Yizhou Wang, Wen Gao
2020	A Two-Stream Network with Image-to-Class Deep Metric for Few-Shot Classification. Qinghua Gu, Zhengding Luo, Yuesheng Zhu
2020	A Unified and Unsupervised Framework for Bilingual Phrase Alignment on Specialized Comparable Corpora. Jingshu Liu, Emmanuel Morin, Sebastián Peña Saldarriaga, Joseph Lark
2020	A Variant of Recurrent Entity Networks for Targeted Aspect-Based Sentiment Analysis. Zhihao Ye, Zhiyong Li
2020	A Weighted GCN with Logical Adjacency Matrix for Relation Extraction. Li Zhou, Tingyu Wang, Hong Qu, Li Huang, Yuguo Liu
2020	AI Paradigms and AI Safety: Mapping Artefacts and Techniques to Safety Issues. José Hernández-Orallo, Fernando Martínez-Plumed, Shahar Avin, Jess Whittlestone, Seán Ó hÉigeartaigh
2020	ASP-Based Signal Plan Adjustments for Traffic Flow Optimization. Thomas Eiter, Andreas A. Falkner, Patrik Schneider, Peter Schüller
2020	Abstract Argumentation with Markov Networks. Nico Potyka
2020	Abstract Interpretation Based Robustness Certification for Graph Convolutional Networks. Yang Liu, Jiaying Peng, Liang Chen, Zibin Zheng
2020	Abstraction for ASP Planning. Zeynep G. Saribatur
2020	Accounting for Observer's Partial Observability in Stochastic Goal Recognition Design. Christabel Wayllace, Sarah Keren, Avigdor Gal, Erez Karpas, William Yeoh, Shlomo Zilberstein
2020	Actual Causality Canvas: A General Framework for Explanation-Based Socio-Technical Constructs. Amjad Ibrahim, Tobias Klesel, Ehsan Zibaei, Severin Kacianka, Alexander Pretschner
2020	Adaptive Graph Reasoning Network for Fashion Landmark Detection. Ming Chen, Hang Ying, Yingjie Qin, Lizhe Qi, Zhongxue Gan, Yunquan Sun
2020	Adaptive Interaction Fusion Networks for Fake News Detection. Lianwei Wu, Yuan Rao
2020	Adaptive Learning in Multiagent Systems for Automated Energy Contacts Negotiation. Tiago Pinto, Zita A. Vale
2020	Adaptive Local Neighbors for Transfer Discriminative Feature Learning. Wei Wang, Zhihui Wang, Haojie Li, Juan Zhou, Zhengming Ding
2020	Adversarial Domain Adaptation Being Aware of Class Relationships. Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing
2020	Adversarial Learning for Overlapping Community Detection and Network Embedding. Junyang Chen, Zhiguo Gong, Quanyu Dai, Chunyuan Yuan, Weiwen Liu
2020	Agent Abstraction via Forgetting in the Situation Calculus. Kailun Luo, Yongmei Liu, Yves Lespérance, Ziliang Lin
2020	Algebraic Circuits for Decision Theoretic Inference and Learning. Vincent Derkinderen, Luc De Raedt
2020	Algorithms for Dynamic Argumentation Frameworks: An Incremental SAT-Based Approach. Andreas Niskanen, Matti Järvisalo
2020	An ASP Semantics for Constraints Involving Conditional Aggregates. Pedro Cabalar, Jorge Fandinno, Torsten Schaub, Philipp Wanko
2020	An Advance on Variable Elimination with Applications to Tensor-Based Computation. Adnan Darwiche
2020	An Approach to Fuzzy Modal Logic of Time Intervals. Willem Conradie, Dario Della Monica, Emilio Muñoz-Velasco, Guido Sciavicco
2020	An Efficient Agreement Mechanism in CapsNets by Pairwise Product. Lei Zhao, Xiaohui Wang, Lei Huang
2020	An Experimental Study on the Behaviour of Fuzzy Quantification Models. Andrea Cascallar Fuentes, Alejandro Ramos-Soto, Alberto José Bugarín Diz
2020	An Ideal Team Is More than a Team of Ideal Agents. Can Kurtan, Pinar Yolum, Mehdi Dastani
2020	An Integrated Approach to Moral Autonomous Systems. Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein
2020	Analysing Irresolute Multiwinner Voting Rules with Approval Ballots via SAT Solving. Boas Kluiving, Adriaan de Vries, Pepijn Vrijbergen, Arthur Boixel, Ulle Endriss
2020	Analysis of Reduced Costs Filtering for Alldifferent and Minimum Weight Alldifferent Global Constraints. Guillaume Claus, Hadrien Cambazard, Vincent Jost
2020	Anomaly Detection Forest. Jakob Sternby, Erik Thormarker, Michael Liljenstam
2020	Applying the Closed World Assumption to SUMO-Based FOL Ontologies for Effective Commonsense Reasoning. Javier Álvez, Itziar Gonzalez-Dios, German Rigau
2020	Assessing the Memory Ability of Recurrent Neural Networks. Cheng Zhang, Qiuchi Li, Lingyu Hua, Dawei Song
2020	Auction Description Language (ADL): General Framework for Representing Auction-Based Markets. Munyque Mittelmann, Laurent Perrussel
2020	Automated Verification of Social Law Robustness for Reactive Agents. Alexander Tuisov, Erez Karpas
2020	Automatic Extraction of Leaf Venation Complex Networks. Maciej Rapacz, Radoslaw Lazarz
2020	Automatic Generation of Typicality Measures for Spatial Language in Grounded Settings. Adam Richard-Bollans, Brandon Bennett, Anthony G. Cohn
2020	BTDE: Block Term Decomposition Embedding for Link Prediction in Knowledge Graph. Tao Luo, Yifan Wei, Mei Yu, Xuewei Li, Mankun Zhao, Tianyi Xu, Jian Yu, Jie Gao, Ruiguo Yu
2020	Basic Utility Theory for Belief Functions. Chunlai Zhou, Biao Qin, Deying Li, Zhiqiang Xu, Xiaoyong Du
2020	Behavior Based Dynamic Summarization on Product Aspects via Reinforcement Neighbour Selection. Zheng Gao, Lujun Zhao, Heng Huang, Hongsong Li, Changlong Sun, Luo Si, Xiaozhong Liu
2020	Belief Map Enhancement Network for Accurate Human Pose Estimation. Jie Liu, Yishun Dou, Wenjie Zhang, Jie Tang, Gangshan Wu
2020	Bidding in Spades. Gal Cohensius, Reshef Meir, Nadav Oved, Roni Stern
2020	Bidirectional Scene Text Recognition with a Single Decoder. Maurits J. R. Bleeker, Maarten de Rijke
2020	Black-Box Adversarial Attacks Against Deep Learning Based Malware Binaries Detection with GAN. Junkun Yuan, Shaofang Zhou, Lanfen Lin, Feng Wang, Jia Cui
2020	Branch Location Problems with Maximum Satisfiability. Oleg Zaikin, Alexey Ignatiev, João Marques-Silva
2020	Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting. Hongbin Liu, Ickjai Lee
2020	Building a Multi-Domain Neural Machine Translation Model Using Knowledge Distillation. Idriss Mghabbar, Pirashanth Ratnamogan
2020	CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators. Julien Girard-Satabin, Guillaume Charpiat, Zakaria Chihani, Marc Schoenauer
2020	CDeepEx: Contrastive Deep Explanations. Amir Feghahati, Christian R. Shelton, Michael J. Pazzani, Kevin Tang
2020	CIDetector: Semi-Supervised Method for Multi-Topic Confidential Information Detection. Jianguo Jiang, Yue Lu, Min Yu, Yantao Jia, Jiafeng Guo, Chao Liu, Weiqing Huang
2020	Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction. Tianxin Wang, Jingwu Chen, Fuzhen Zhuang, Leyu Lin, Feng Xia, Lihuan Du, Qing He
2020	Capturing Word Order in Averaging Based Sentence Embeddings. Jae Hee Lee, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert
2020	Causal Query in Observational Data with Hidden Variables. Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le
2020	Classification Rules in Relaxed Logical Form. Bishwamittra Ghosh, Dmitry Malioutov, Kuldeep S. Meel
2020	Classifying the Classifier: Dissecting the Weight Space of Neural Networks. Gabriel Eilertsen, Daniel Jönsson, Timo Ropinski, Jonas Unger, Anders Ynnerman
2020	Cognitive Logics - Features, Formalisms, and Challenges. Marco Ragni, Gabriele Kern-Isberner, Christoph Beierle, Kai Sauerwald
2020	Cognitive Vision and Perception. Mehul Bhatt, Jakob Suchan
2020	Combination of Active Learning and Self-Paced Learning for Deep Answer Selection with Bayesian Neural Network. Qunbo Wang, Wenjun Wu, Yuxing Qi, Zhimin Xin
2020	Committee Selection with Multimodal Preferences. Pallavi Jain, Nimrod Talmon
2020	Common and Discriminative Semantic Pursuit for Multi-Modal Multi-Label Learning. Yi Zhang, Jundong Shen, Zhecheng Zhang, Chongjun Wang
2020	Comparative Timeline Summarization via Dynamic Affinity-Preserving Random Walk. Yijun Duan, Adam Jatowt, Masatoshi Yoshikawa
2020	Comparing Topic-Aware Neural Networks for Bias Detection of News. Ye Jiang, Yimin Wang, Xingyi Song, Diana Maynard
2020	Complexity of Possible and Necessary Existence Problems in Abstract Argumentation. Kenneth Skiba, Daniel Neugebauer, Jörg Rothe
2020	Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams. Maroua Bahri, Albert Bifet, Silviu Maniu, Rodrigo Fernandes de Mello, Nikolaos Tziortziotis
2020	Consolidating Modal Knowledge Bases. Zied Bouraoui, Jean-Marie Lagniez, Pierre Marquis, Valentin Montmirail
2020	Contextual Q-Learning. Tiago Pinto, Zita A. Vale
2020	Continual Egocentric Object Recognition. Luca Erculiani, Fausto Giunchiglia, Andrea Passerini
2020	Convolutional Dictionary Pair Learning Network for Image Representation Learning. Zhao Zhang, Yulin Sun, Yang Wang, Zhengjun Zha, Shuicheng Yan, Meng Wang
2020	Coulomb Autoencoders. Emanuele Sansone, Hafiz Tiomoko Ali, Jiacheng Sun
2020	Cross-Border Medical Research Using Multi-Layered and Distributed Knowledge. Gábor Bella, Liz Elliot, Subhashis Das, Stephen Pavis, Ettore Turra, David Robertson, Fausto Giunchiglia
2020	Crowd Counting via Hierarchical Scale Recalibration Network. Zhikang Zou, Yifan Liu, Shuangjie Xu, Wei Wei, Shiping Wen, Pan Zhou
2020	CryptoSPN: Privacy-Preserving Sum-Product Network Inference. Amos Treiber, Alejandro Molina, Christian Weinert, Thomas Schneider, Kristian Kersting
2020	DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains. Chang Xu, Cécile Paris, Surya Nepal, Ross Sparks, Chong Long, Yafang Wang
2020	DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners. Xiaolong Hu, Zhulin An, Chuanguang Yang, Hui Zhu, Kaiqiang Xu, Yongjun Xu
2020	Data-Empowered Argumentation for Dialectically Explainable Predictions. Oana Cocarascu, Andria Stylianou, Kristijonas Cyras, Francesca Toni
2020	Deciding When, How and for Whom to Simplify. Carolina Scarton, Pranava Madhyastha, Lucia Specia
2020	Decoding the Imitation Security Game: Handling Attacker Imitative Behavior Deception. Thanh Hong Nguyen, Nam Vu, Amulya Yadav, Uy Nguyen
2020	Dedge-AGMNet: An Effective Stereo Matching Network Optimized by Depth Edge Auxiliary Task. Weida Yang, Xindong Ai, Zuliu Yang, Yong Xu, Yong Zhao
2020	Deep Density-Aware Count Regressor. Zhuojun Chen, Junhao Cheng, Yuchen Yuan, Dongping Liao, Yizhou Li, Jiancheng Lv
2020	Deep Learning Applied to NILM: Is Data Augmentation Worth for Energy Disaggregation? Aurélien Delfosse, Georges Hébrail, Aimen Zerroug
2020	DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction. Xuan Lin, Kaiqi Zhao, Tong Xiao, Zhe Quan, Zhi-Jie Wang, Philip S. Yu
2020	Delving Deeper into the Decoder for Video Captioning. Haoran Chen, Jianmin Li, Xiaolin Hu
2020	Derivative-Free Optimization with Adaptive Experience for Efficient Hyper-Parameter Tuning. Yi-Qi Hu, Zelin Liu, Hua Yang, Yang Yu, Yunfeng Liu
2020	Diagnosis of Temporal Faults in Discrete-Event Systems. Nicola Bertoglio, Gianfranco Lamperti, Marina Zanella, Xiangfu Zhao
2020	Directional Adversarial Training for Recommender Systems. Yangjun Xu, Liang Chen, Fenfang Xie, Weibo Hu, Jieming Zhu, Chuan Chen, Zibin Zheng
2020	Distantly Supervised Question Parsing. Hamid Zafar, Maryam Tavakol, Jens Lehmann
2020	Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-Based Modules. Ernesto Jiménez-Ruiz, Asan Agibetov, Jiaoyan Chen, Matthias Samwald, Valerie Cross
2020	Document and Word Representations Generated by Graph Convolutional Network and BERT for Short Text Classification. Zhihao Ye, Gongyao Jiang, Ye Liu, Zhiyong Li, Jin Yuan
2020	Driven by Commonsense. Jakob Suchan, Mehul Bhatt, Srikrishna Varadarajan
2020	Dual Attention-Based Adversarial Autoencoder for Attributed Network Embedding. Ming Liu, Jianxin Liao, Jingyu Wang, Qi Qi, Haifeng Sun
2020	Dual Rejection Sampling for Wasserstein Auto-Encoders. Liang Hou, Huawei Shen, Xueqi Cheng
2020	Dynamic Algorithm Configuration: Foundation of a New Meta-Algorithmic Framework. André Biedenkapp, H. Furkan Bozkurt, Theresa Eimer, Frank Hutter, Marius Lindauer
2020	Dynamic Epistemic Logic Games with Epistemic Temporal Goals. Bastien Maubert, Aniello Murano, Sophie Pinchinat, François Schwarzentruber, Silvia Stranieri
2020	Dynamic Thresholding for Learning Sparse Neural Networks. Jin-Woo Park, Jong-Seok Lee
2020	Dynamics in Abstract Argumentation Frameworks with Recursive Attack and Support Relations. Gianvincenzo Alfano, Andrea Cohen, Sebastian Gottifredi, Sergio Greco, Francesco Parisi, Guillermo Ricardo Simari
2020	ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) Giuseppe De Giacomo, Alejandro Catalá, Bistra Dilkina, Michela Milano, Senén Barro, Alberto Bugarín, Jérôme Lang
2020	EPNE: Evolutionary Pattern Preserving Network Embedding. Junshan Wang, Yilun Jin, Guojie Song, Xiaojun Ma
2020	ET-GAN: Cross-Language Emotion Transfer Based on Cycle-Consistent Generative Adversarial Networks. Xiaoqi Jia, Jianwei Tai, Hang Zhou, Yakai Li, Weijuan Zhang, Haichao Du, Qingjia Huang
2020	Efficient Allocations in Constant Time: Towards Scalable Solutions in the Era of Large Scale Intelligent Systems. Panayiotis Danassis, Boi Faltings
2020	Efficient Neural Network Verification via Adaptive Refinement and Adversarial Search. Patrick Henriksen, Alessio R. Lomuscio
2020	Election Score Can Be Harder than Winner. Zack Fitzsimmons, Edith Hemaspaandra
2020	Embedding the Trust Degrees of Agents in Abstract Argumentation. Bettina Fazzinga, Sergio Flesca, Filippo Furfaro
2020	End-To-End Speech Emotion Recognition Based on Time and Frequency Information Using Deep Neural Networks. Ali Bakhshi, Aaron S. W. Wong, Stephan K. Chalup
2020	Enhanced Foraging in Robot Swarms Using Collective Lévy Walks. Johannes Nauta, Stef Van Havermaet, Pieter Simoens, Yara Khaluf
2020	Enriching Language Models with Semantics. Tobias Mayer
2020	Ensemble Knowledge Distillation for Learning Improved and Efficient Networks. Umar Asif, Jianbin Tang, Stefan Harrer
2020	Ensemble Methods for Object Detection. Ángela Casado-García, Jónathan Heras
2020	Entropy-Based Adaptive Exploit-Explore Coefficient for Monte-Carlo Path Planning. Ana Raquel Carmo, Jean-Alexis Delamer, Yoko Watanabe, Rodrigo Ventura, Caroline P. C. Chanel
2020	Equal Pay for Equal Competences: A Statistical Approach to Address Equal Pay Gap. Andra Anoaica, Ahmed Ben Hassine, Léa A. Deleris
2020	Evaluating Multimodal Representations on Visual Semantic Textual Similarity. Oier Lopez de Lacalle, Ander Salaberria, Aitor Soroa, Gorka Azkune, Eneko Agirre
2020	Evaluation of Analogical Arguments by Choquet Integral. Leila Amgoud
2020	Evolutionary Bi-Objective Optimization for the Dynamic Chance-Constrained Knapsack Problem Based on Tail Bound Objectives. Hirad Assimi, Oscar Harper, Yue Xie, Aneta Neumann, Frank Neumann
2020	Exhaustive Search of Priority Rules for On-Line Scheduling. Francisco Javier Gil Gala, Carlos Mencía, María R. Sierra, Ramiro Varela
2020	Explainable Inference in the FRANK Query Answering System. Kwabena Nuamah, Alan Bundy
2020	Explaining Non-Acceptability in Abstract Argumentation. Zeynep G. Saribatur, Johannes P. Wallner, Stefan Woltran
2020	Explanations for Ontology-Mediated Query Answering in Description Logics. Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius
2020	Explicit Negation in Linear-Dynamic Equilibrium Logic. Felicidad Aguado, Pedro Cabalar, Jorge Fandinno, Gilberto Pérez, Concepción Vidal
2020	Exploiting Incomparability in Solution Dominance: Improving General Purpose Constraint-Based Mining. Gökberk Koçak, Özgür Akgün, Tias Guns, Ian Miguel
2020	Extended Markov Games to Learn Multiple Tasks in Multi-Agent Reinforcement Learning. Borja G. León, Francesco Belardinelli
2020	Extending a Fuzzy Polarity Propagation Method for Multi-Domain Sentiment Analysis with Word Embedding and POS Tagging. Claude Pasquier, Célia da Costa Pereira, Andrea G. B. Tettamanzi
2020	Fair in the Eyes of Others. Parham Shams, Aurélie Beynier, Sylvain Bouveret, Nicolas Maudet
2020	False-Name-Proof Facility Location on Discrete Structures. Taiki Todo, Nodoka Okada, Makoto Yokoo
2020	Family and Prejudice: A Behavioural Taxonomy of Machine Learning Techniques. Raül Fabra-Boluda, Cèsar Ferri, Fernando Martínez-Plumed, José Hernández-Orallo, M. José Ramírez-Quintana
2020	Feature Importance Estimation with Self-Attention Networks. Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic
2020	Feature-Level Ensemble Knowledge Distillation for Aggregating Knowledge from Multiple Networks. Seonguk Park, Nojun Kwak
2020	Finding Quantum Critical Points with Neural-Network Quantum States. Remmy A. M. Zen, Long My, Ryan Tan, Frédéric Hébert, Mario Gattobigio, Christian Miniatura, Dario Poletti, Stéphane Bressan
2020	Fine-Grained Text Sentiment Transfer via Dependency Parsing. Lulu Xiao, Xiaoye Qu, Ruixuan Li, Jun Wang, Pan Zhou, Yuhua Li
2020	Finite and Confident Teaching in Expectation: Sampling from Infinite Concept Classes. José Hernández-Orallo, Jan Arne Telle
2020	FishNet: A Unified Embedding for Salmon Recognition. Bjørn Magnus Mathisen, Kerstin Bach, Espen Meidell, Håkon Måløy, Edvard Schreiner Sjøblom
2020	Fleet Control Using Coregionalized Gaussian Process Policy Iteration. Timothy Verstraeten, Pieter J. K. Libin, Ann Nowé
2020	Forecaster: A Graph Transformer for Forecasting Spatial and Time-Dependent Data. Yang Li, José M. F. Moura
2020	Foreground Detection by Probabilistic Mixture Models Using Semantic Information from Deep Networks. Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Ezequiel López-Rubio
2020	From Eigentrust to a Trust-Measuring Algorithm in the Max-Plus Algebra. Juan Afanador, Nir Oren, Murilo S. Baptista, Maria Araujo
2020	From Mixture of Longitudinal and Non-Gaussian Advertising Data to Click-Through-Rate Prediction. Faustine Bousquet, Sophie Lèbre, Christian Lavergne
2020	From Public Announcements to Asynchronous Announcements. Philippe Balbiani, Hans van Ditmarsch, Saúl Fernández González
2020	Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition. Zhao Zhang, Zemin Tang, Zheng Zhang, Yang Wang, Jie Qin, Meng Wang
2020	General Supervision via Probabilistic Transformations. Santiago Mazuelas, Aritz Pérez
2020	Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms. Jose M. Moyano, Eva L. Gibaja, Krzysztof J. Cios, Sebastián Ventura
2020	Generating Instantiated Argument Graphs from Probabilistic Information. Anthony Hunter
2020	Generating Natural Language Adversarial Examples on a Large Scale with Generative Models. Yankun Ren, Jianbin Lin, Siliang Tang, Jun Zhou, Shuang Yang, Yuan Qi, Xiang Ren
2020	Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems. Adel Abusitta, Esma Aïmeur, Omar Abdel Wahab
2020	Global Propagation of Transition Cost for Fixed Job Scheduling. Ruixin Wang, Nicolas Barnier
2020	Gradual Guaranteed Coordination in Repeated Win-Lose Coordination Games. Valentin Goranko, Antti Kuusisto, Raine Rönnholm
2020	Gradual Semantics for Logic-Based Bipolar Graphs Using T-(Co)norms. Martin Jedwabny, Madalina Croitoru, Pierre Bisquert
2020	Graphical Granger Causality by Information-Theoretic Criteria. Katerina Hlavácková-Schindler, Claudia Plant
2020	Group Behavior Recognition Using Attention- and Graph-Based Neural Networks. Fangkai Yang, Wenjie Yin, Tetsunari Inamura, Mårten Björkman, Christopher Peters
2020	Harmonic Recurrent Process for Time Series Forecasting. Shao-Qun Zhang, Zhi-Hua Zhou
2020	Heuristics for Link Prediction in Multiplex Networks. Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant P. Reddy, Manuela Veloso
2020	Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization. Yuntao Du, Zhiwen Tan, Qian Chen, Yi Zhang, Chongjun Wang
2020	Hope Speech Detection: A Computational Analysis of the Voice of Peace. Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell
2020	How Much Knowledge Is in a Knowledge Base? Introducing Knowledge Measures (Preliminary Report). Umberto Straccia
2020	Human Activity Recognition from Wearable Sensor Data Using Self-Attention. Saif Mahmud, M. Tanjid Hasan Tonmoy, Kishor Kumar Bhaumik, A K M Mahbubur Rahman, M. Ashraful Amin, Mohammad Shoyaib, Muhammad Asif Hossain Khan, Amin Ahsan Ali
2020	Hybrid Offline/Online Optimization Under Uncertainty. Allegra De Filippo, Michele Lombardi, Michela Milano
2020	IAD: A Benchmark Dataset and a New Method for Illegal Advertising Classification. Zebo Liu, Kehan Li, Xu Tan, Jiming Chen
2020	Implementing Dynamic Answer Set Programming over Finite Traces. Pedro Cabalar, Martín Diéguez, Torsten Schaub, François Laferrière
2020	Improving Document Classification with Multi-Sense Embeddings. Vivek Gupta, Ankit Kumar, Pegah Nokhiz, Harshit Gupta, Partha P. Talukdar
2020	Improving Supervised Superpixel-Based Codebook Representations by Local Convolutional Features. César Castelo-Fernández, Alexandre X. Falcão
2020	Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu
2020	Improving VAE Generations of Multimodal Data Through Data-Dependent Conditional Priors. Frantzeska Lavda, Magda Gregorová, Alexandros Kalousis
2020	Incentivize Diffusion with Fair Rewards. Wen Zhang, Dengji Zhao, Yao Zhang
2020	Incorporating Semantic Dependencies Extracted from Knowledge Graphs into Joint Inference Template-Based Information Extraction. Hendrik ter Horst, Philipp Cimiano
2020	Inequity Aversion Pricing in Multi-Unit Markets. Michele Flammini, Manuel Mauro, Matteo Tonelli, Cosimo Vinci
2020	Influence of Personality-Based Features for Dialogue Generation in Computational Narratives. Weilai Xu, Fred Charles, Charlie Hargood, Feng Tian, Wen Tang
2020	Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description. Sambaran Bandyopadhyay, Saley Vishal Vivek, M. Narasimha Murty
2020	Integrating Open-Ended Learning in the Sense-Plan-Act Robot Control Paradigm. Angelo Oddi, Riccardo Rasconi, Vieri Giuliano Santucci, Gabriele Sartor, Emilio Cartoni, Francesco Mannella, Gianluca Baldassarre
2020	Intelligent Recommendation & Decision Technologies for Community-Driven Requirements Engineering. Ralph Samer, Martin Stettinger, Alexander Felfernig, Xavier Franch, Andreas A. Falkner
2020	Inter-Slice Image Augmentation Based on Frame Interpolation for Boosting Medical Image Segmentation Accuracy. Zhaotao Wu, Jia Wei, Wenguang Yuan, Jiabing Wang, Tolga Tasdizen
2020	Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking. Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury
2020	IntuiGeo: Interactive Tutor for Online Geometry Problems Resolution on Pen-Based Tablets. Omar Krichen, Éric Anquetil, Nathalie Girard
2020	Is Hardness Inherent in Computational Problems? Performance of Human and Electronic Computers on Random Instances of the 0-1 Knapsack Problem. Nitin Yadav, Carsten Murawski, Sebastian Sardiña, Peter Bossaerts
2020	Item Response Theory to Estimate the Latent Ability of Speech Synthesizers. Chaina Santos Oliveira, Caio C. A. Tenório, Ricardo B. C. Prudêncio
2020	JND-GAN: Human-Vision-Systems Inspired Generative Adversarial Networks for Image-to-Image Translation. Wenbo Zheng, Lan Yan, Chao Gou, Fei-Yue Wang
2020	Joint 3D Face Reconstruction and Dense Face Alignment via Deep Face Feature Alignment. Jian Zhou, Zhangjin Huang
2020	Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy. Bowen Yu, Zhenyu Zhang, Xiaobo Shu, Tingwen Liu, Yubin Wang, Bin Wang, Sujian Li
2020	Joint Modeling of Local and Global Behavior Dynamics for Session-Based Recommendation. Yong Xu, Jiahui Chen, Chao Huang, Bo Zhang, Hao Xing, Peng Dai, Liefeng Bo
2020	KNOWLEDGECHECKR: Intelligent Techniques for Counteracting Forgetting. Martin Stettinger, Trang Tran, Ingo Pribik, Gerhard Leitner, Alexander Felfernig, Ralph Samer, Müslüm Atas, Manfred Wundara
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2020	Layer-Wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees. Shaohuai Shi, Zhenheng Tang, Qiang Wang, Kaiyong Zhao, Xiaowen Chu
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2020	Learning Classifier Chains Using Matrix Regularization: Application to Multimorbidity Prediction. Pawel Teisseyre
2020	Learning Conjunctive Information of Signals in Multi-Sensor Systems. Seong-Eun Moon, Jong-Seok Lee
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2020	Learning First-Order Symbolic Representations for Planning from the Structure of the State Space. Blai Bonet, Hector Geffner
2020	Learning Global Pairwise Interactions with Bayesian Neural Networks. Tianyu Cui, Pekka Marttinen, Samuel Kaski
2020	Learning Joint Job Embeddings Using a Job-Oriented Asymmetrical Pairing System. Timothé Bernard, Tanguy Moreau, Clément Viricel, Paul Mougel, Christophe Gravier, Frédérique Laforest
2020	Learning Kernel-Based Embeddings in Graph Neural Networks. Nicolò Navarin, Dinh Van Tran, Alessandro Sperduti
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2020	Learning Style-Aware Symbolic Music Representations by Adversarial Autoencoders. Andrea Valenti, Antonio Carta, Davide Bacciu
2020	Learning Temporal Action Models via Constraint Programming. Antonio Garrido, Sergio Jiménez
2020	Learning Variable Ordering Heuristics with Multi-Armed Bandits and Restarts. Hugues Wattez, Frédéric Koriche, Christophe Lecoutre, Anastasia Paparrizou, Sébastien Tabary
2020	Learning to Continually Learn. Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney
2020	Learning to Predict Charges for Legal Judgment via Self-Attentive Capsule Network. Yuquan Le, Congqing He, Meng Chen, Youzheng Wu, Xiaodong He, Bowen Zhou
2020	Learning to Reuse Translations: Guiding Neural Machine Translation with Examples. Qian Cao, Shaohui Kuang, Deyi Xiong
2020	Leveraging Human Prior Knowledge to Learn Sense Representations. Tong Zhang, Wei Ye, Xiangyu Xi, Long Zhang, Shikun Zhang, Wen Zhao
2020	Lifted Heuristics for Timeline-Based Planning. Riccardo De Benedictis, Amedeo Cesta
2020	Lifted Marginal Filtering for Asymmetric Models by Clustering-Based Merging. Stefan Lüdtke, Marcel Gehrke, Tanya Braun, Ralf Möller, Thomas Kirste
2020	Lifting Majority to Unanimity in Opinion Diffusion. Zhiqiang Zhuang, Kewen Wang, Junhu Wang, Heng Zhang, Zhe Wang, Zhiguo Gong
2020	Lifting Queries for Lifted Inference. Tanya Braun, Ralf Möller
2020	Link Prediction by Analyzing Common Neighbors Based Subgraphs Using Convolutional Neural Network. Kumaran Ragunathan, Kalyani Selvarajah, Ziad Kobti
2020	Local to Global Learning of a Latent Dynamic Bayesian Network. Dan Halbersberg, Boaz Lerner
2020	Logical Interpretations of Autoencoders. Anton Fuxjaeger, Vaishak Belle
2020	Ludii - The Ludemic General Game System. Éric Piette, Dennis J. N. J. Soemers, Matthew Stephenson, Chiara F. Sironi, Mark H. M. Winands, Cameron Browne
2020	MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs. Afshin Sadeghi, Damien Graux, Hamed Shariat Yazdi, Jens Lehmann
2020	Machine Learning for Gas and Oil Exploration. Vito Alexander Nordloh, Anna Roubícková, Nick Brown
2020	Macro Operator Synthesis for ADL Domains. Till Hofmann, Tim Niemueller, Gerhard Lakemeyer
2020	Malaria Parasite Mobility in Mozambique Estimated Using Mobile Phone Records. Jessica R. Floyd, Pedro Rente Lourenço, Nick W. Ruktanonchai, Andrew J. Tatem, James M. Colborn, Baltazar Candrinho, Nuria Oliver
2020	Many-Objective Problems Are Not Always Difficult for Pareto Dominance-Based Evolutionary Algorithms. Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima
2020	Matching Questions and Answers in Dialogues from Online Forums. Qi Jia, Mengxue Zhang, Shengyao Zhang, Kenny Q. Zhu
2020	Maximal Correlation: An Alternative Criterion for Training Generative Networks. Kalliopi Basioti, George V. Moustakides, Emmanouil Z. Psarakis
2020	Maximal Information Propagation with Budgets. Haomin Shi, Yao Zhang, Zilin Si, Letong Wang, Dengji Zhao
2020	Maximum Entropy Reinforced Single Object Visual Tracking. Chenghuan Liu, Du Q. Huynh, Mark Reynolds
2020	Mean Field Theory for Deep Dropout Networks: Digging up Gradient Backpropagation Deeply. Wei Huang, Richard Yi Da Xu, Weitao Du, Yutian Zeng, Yunce Zhao
2020	Measurable Counterfactual Local Explanations for Any Classifier. Adam White, Artur S. d'Avila Garcez
2020	MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records. Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Suong Le, Wray L. Buntine
2020	Meta-Embedding as Auxiliary Task Regularization. James O'Neill, Danushka Bollegala
2020	MetaSelection: Metaheuristic Sub-Structure Selection for Neural Network Pruning Using Evolutionary Algorithm. Zixun Zhang, Zhen Li, Lin Lin, Na Lei, Guanbin Li, Shuguang Cui
2020	Metric Learning for Ordered Labeled Trees with pq-grams. Hikaru Shindo, Masaaki Nishino, Yasuaki Kobayashi, Akihiro Yamamoto
2020	Mid-Weight Image Super-Resolution with Bypass Connection Attention Network. Hao Shen, Zhong-Qiu Zhao
2020	Minimality and Comparison of Sets of Multi-Attribute Vectors. Federico Toffano, Nic Wilson
2020	Minimality of Combined Qualitative Constraint Networks. Quentin Cohen-Solal
2020	Minimizing and Recovering from the Effect of Concept Drift via Feature Selection. Daegun Won, Peter J. Jansen, Jaime G. Carbonell
2020	Mining Insights from Large-Scale Corpora Using Fine-Tuned Language Models. Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell
2020	MobiSenseUs: Inferring Aggregate Objective and Subjective Well-Being from Mobile Data. Martin Hillebrand, Imran Khan, Filipa Peleja, Nuria Oliver
2020	Model-Free Non-Stationarity Detection and Adaptation in Reinforcement Learning. Giuseppe Canonaco, Marcello Restelli, Manuel Roveri
2020	Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units. Zina M. Ibrahim, Honghan Wu, Richard J. B. Dobson
2020	Modeling the Incongruity Between Sentence Snippets for Sarcasm Detection. Hongliang Pan, Zheng Lin, Peng Fu, Weiping Wang
2020	Modelling Belief-Revision Functions at Extended Languages. Theofanis I. Aravanis, Pavlos Peppas, Mary-Anne Williams
2020	Monte Carlo Information-Oriented Planning. Vincent Thomas, Gérémy Hutin, Olivier Buffet
2020	Multi-Label Learning with Deep Forest. Liang Yang, Xi-Zhu Wu, Yuan Jiang, Zhi-Hua Zhou
2020	Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion. Hung Nghiep Tran, Atsuhiro Takasu
2020	Multi-Stage Transfer Learning with an Application to Selection Process. Andre Mendes, Julian Togelius, Leandro dos Santos Coelho
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2020	Multimodal Matching Transformer for Live Commenting. Chaoqun Duan, Lei Cui, Shuming Ma, Furu Wei, Conghui Zhu, Tiejun Zhao
2020	Multimodal Transfer Learning-Based Approaches for Retinal Vascular Segmentation. José Morano, Álvaro S. Hervella, Noelia Barreira, Jorge Novo, José Rouco
2020	Multiwinner Rules with Variable Number of Winners. Piotr Faliszewski, Arkadii Slinko, Nimrod Talmon
2020	NASS: Optimizing Secure Inference via Neural Architecture Search. Song Bian, Weiwen Jiang, Qing Lu, Yiyu Shi, Takashi Sato
2020	Necessary and Sufficient Conditions for Actual Root Causes. Shakil M. Khan, Mikhail Soutchanski
2020	Negative-Aware Training: Be Aware of Negative Samples. Xin Li, Xiaodong Jia, Xiao-Yuan Jing
2020	Neighborhood-Based Pooling for Population-Level Label Distribution Learning. Tharindu Cyril Weerasooriya, Tong Liu, Christopher M. Homan
2020	Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem. André Hottung, Kevin Tierney
2020	Neural Network Heuristics for Classical Planning: A Study of Hyperparameter Space. Patrick Ferber, Malte Helmert, Jörg Hoffmann
2020	Neural Networks in Evolutionary Dynamic Constrained Optimization: Computational Cost and Benefits. Maryam Hasani-Shoreh, Renato Hermoza Aragonés, Frank Neumann
2020	Neural ODEs with Stochastic Vector Field Mixtures. Niall Twomey, Michal Kozlowski, Raúl Santos-Rodríguez
2020	New Computational Models for the Choquet Integral. Hugo Martin, Patrice Perny
2020	New Measures of Inclusion Between Fuzzy Sets in Terms of the φ-Index of Inclusion. Nicolás Madrid, Manuel Ojeda-Aciego
2020	New Randomized Strategies for the Color Coding Algorithm. Lucie Pansart, Hadrien Cambazard, Nicolas Catusse
2020	Non-Linear Cluster Enhancement: Forcing Clusters into a Compact Shape. Benjamin Schelling, Lukas Miklautz, Claudia Plant
2020	Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings. Vanja Doskoc, Tobias Friedrich, Andreas Göbel, Aneta Neumann, Frank Neumann, Francesco Quinzan
2020	Normative Reasoning with Expressive Logic Combinations. David Fuenmayor, Christoph Benzmüller
2020	Object Allocation and Positive Graph Externalities. Dimitris Fotakis, Laurent Gourvès, Stelios Kasouridis, Aris Pagourtzis
2020	On Measuring Inconsistency in Relational Databases with Denial Constraints. Francesco Parisi, John Grant
2020	On Minimizing Diagonal Block-Wise Differences for Neural Network Compression. Yun-Jui Hsu, Yi-Ting Chang, Chih-Ya Shen, Hong-Han Shuai, Wei-Lun Tseng, Chen-Hsu Yang
2020	On Partial Multi-Task Learning. Yi He, Baijun Wu, Di Wu, Xindong Wu
2020	On the Complexity of Constructive Control Under Nearly Single-Peaked Preferences. Yongjie Yang
2020	On the Effectiveness of Social Proof Recommendations in Markets with Multiple Products. Vincenzo Auletta, Diodato Ferraioli, Gianluigi Greco
2020	On the Interpretation of Convolutional Neural Networks for Text Classification. Jincheng Xu, Qingfeng Du
2020	On the Reasons Behind Decisions. Adnan Darwiche, Auguste Hirth
2020	On the Relation Between Claim-Augmented Argumentation Frameworks and Collective Attacks. Wolfgang Dvorák, Anna Rapberger, Stefan Woltran
2020	On-Time Delivery in Crowdshipping Systems: An Agent-Based Approach Using Streaming Data. Jeremias Dötterl, Ralf Bruns, Jürgen Dunkel, Sascha Ossowski
2020	Online Learning to Accelerate Neural Network Inference with Traveling Classifiers. Ege Beyazit, Yi He, Nian-Feng Tzeng, Xindong Wu
2020	Online Probabilistic Interval-Based Event Calculus. Periklis Mantenoglou, Alexander Artikis, Georgios Paliouras
2020	Ontology Focusing: Knowledge-Enriched Databases on Demand. Tomasz Gogacz, Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Filip Murlak, Magdalena Ortiz, Mantas Simkus
2020	OpenSMax: Unknown Domain Generation Algorithm Detection. Yao Lai, Guolou Ping, Yuexin Wu, Chenhui Lu, Xiaojun Ye
2020	Outside the Box: Abstraction-Based Monitoring of Neural Networks. Thomas A. Henzinger, Anna Lukina, Christian Schilling
2020	Parameterized Complexity of Manipulating Sequential Allocation. Michele Flammini, Hugo Gilbert
2020	Partial Label Learning via Generative Adversarial Nets. Yabin Zhang, Guang Yang, Suyun Zhao, Peng Ni, Hairong Lian, Hong Chen, Cuiping Li
2020	Permutation Learning via Lehmer Codes. Aïssatou Diallo, Markus Zopf, Johannes Fürnkranz
2020	Personalized Automated Machine Learning. Cedric Kulbach, Patrick Philipp, Steffen Thoma
2020	Planning for Compilation of a Quantum Algorithm for Graph Coloring. Minh Do, Zhihui Wang, Bryan O'Gorman, Davide Venturelli, Eleanor Gilbert Rieffel, Jeremy Frank
2020	Point Cloud Segmentation with Deep Reinforcement Learning. Marcel Tiator, Christian Geiger, Paul Grimm
2020	Point-Of-Interest Semantic Tag Completion in a Global Crowdsourced Search-and-Discovery Database. Nikolaos Lagos, Salah Ait-Mokhtar, Ioan Calapodescu
2020	Polynomial Neural Networks and Taylor Maps for Dynamical Systems Simulation and Learning. Andrei Ivanov, Anna Golovkina, Uwe Iben
2020	Polynomial-Time Implicit Learnability in SMT. Ionela G. Mocanu, Vaishak Belle, Brendan Juba
2020	Powering Hidden Markov Model by Neural Network Based Generative Models. Dong Liu, Antoine Honoré, Saikat Chatterjee, Lars K. Rasmussen
2020	Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network. Junfeng Hu, Zhencheng Fan, Jun Liao, Li Liu
2020	Preferences over Rankings and How to Control Them Using Rewards. Marco Faella, Luigi Sauro
2020	Preprocessing in Incomplete MaxSAT Solving. Marcus Leivo, Jeremias Berg, Matti Järvisalo
2020	Prioritized Simple Contrapositive Assumption-Based Frameworks. Ofer Arieli, Jesse Heyninck
2020	Private Knowledge Transfer via Model Distillation with Generative Adversarial Networks. Di Gao, Cheng Zhuo
2020	Property Invariant Embedding for Automated Reasoning. Miroslav Olsák, Cezary Kaliszyk, Josef Urban
2020	Pruning CNN's with Linear Filter Ensembles. Csanád Sándor, Szabolcs Pável, Lehel Csató
2020	PushNet: Efficient and Adaptive Neural Message Passing. Julian Busch, Jiaxing Pi, Thomas Seidl
2020	Quantum Weighted Model Counting. Fabrizio Riguzzi
2020	REBA-KRL: Refinement-Based Architecture for Knowledge Representation, Explainable Reasoning and Interactive Learning in Robotics. Mohan Sridharan
2020	RPN: A Residual Pooling Network for Efficient Federated Learning. Anbu Huang, Yuanyuan Chen, Yang Liu, Tianjian Chen, Qiang Yang
2020	Randomized Kernel Multi-View Discriminant Analysis. Xiaoyun Li, Jie Gui, Ping Li
2020	Rapidly Finding the Best Arm Using Variance. Marco Faella, Alberto Finzi, Luigi Sauro
2020	Reasoning About Quality and Fuzziness of Strategic Behaviours. Patricia Bouyer, Orna Kupferman, Nicolas Markey, Bastien Maubert, Aniello Murano, Giuseppe Perelli
2020	Reasoning with Justifiable Exceptions in Contextual Hierarchies. Loris Bozzato, Luciano Serafini, Thomas Eiter
2020	Reasoning with a Bounded Number of Resources in ATL+. Francesco Belardinelli, Stéphane Demri
2020	Refinement of Unsupervised Cross-Lingual Word Embeddings. Magdalena Biesialska, Marta R. Costa-jussà
2020	Regret-Based Elicitation for Solving Multi-Objective Knapsack Problems with Rank-Dependent Aggregators. Nawal Benabbou, Cassandre Leroy, Thibaut Lust
2020	Regularized Cycle Consistent Generative Adversarial Network for Anomaly Detection. Ziyi Yang, Iman Soltani Bozchalooi, Eric Darve
2020	Relational Neural Machines. Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini, Marco Gori, Marco Maggini
2020	Relaxed Per-Stage Requirements for Training Cascades of Classifiers. Dariusz Sychel, Przemyslaw Klesk, Aneta Bera
2020	Remaining Useful Life Curve Prediction of Rolling Bearings Under Defect Progression Based on Hierarchical Bayesian Regression. Masashi Kitai, Yoshinobu Akamatsu, Ryoji Tani, Hiroki Fujiwara, Masayuki Numao, Ken-ichi Fukui
2020	Representing and Reducing Uncertainty for Enumerating the Belief Space to Improve Endgame Play in Skat. Stefan Edelkamp
2020	Resilient Distributed Constraint Optimization in Physical Multi-Agent Systems. Pierre Rust, Gauthier Picard, Fano Ramparany
2020	Retrospective and Prospective Mixture-of-Generators for Task-Oriented Dialogue Response Generation. Jiahuan Pei, Pengjie Ren, Christof Monz, Maarten de Rijke
2020	Reuse, Reduce and Recycle: Optimizing Reiter's HS-Tree for Sequential Diagnosis. Patrick Rodler
2020	Review of the Recent Techniques for Learning Commonsense Knowledge Applied to the Winograd Schema Challenge. Aneta Koleva
2020	Rewrite or Not Rewrite? ML-Based Algorithm Selection for Datalog Query Answering on Knowledge Graphs. Unmesh Joshi, Ceriel J. H. Jacobs, Jacopo Urbani
2020	RoI Feature Propagation for Video Object Detection. Daniel Cores, Manuel Mucientes, Víctor M. Brea
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2020	Robust Constraint Acquisition by Sequential Analysis. Steve Prestwich
2020	Robust Multi-Instance Learning with Stable Instances. Weijia Zhang, Lin Liu, Jiuyong Li
2020	Robust Submodular Minimization with Applications to Cooperative Modeling. Rishabh K. Iyer
2020	SAI: A Sensible Artificial Intelligence That Plays with Handicap and Targets High Scores in 9×9 Go. Francesco Morandin, Gianluca Amato, Marco Fantozzi, Rosa Gini, Carlo Metta, Maurizio Parton
2020	SETNet: A Novel Semi-Supervised Approach for Semantic Parsing. Xiaolu Wang, Haifeng Sun, Qi Qi, Jingyu Wang
2020	SI-AGAN: Spatial Interpolation with Attentional Generative Adversarial Networks for Environment Monitoring. Yujia Gao, Liang Liu, Chi Zhang, Xiao Wang, Huadong Ma
2020	SPCNet: Spatial Preserve and Content-Aware Network for Human Pose Estimation. Yabo Xiao, Dongdong Yu, Xiaojuan Wang, Tianqi Lv, Yiqi Fan, Lingrui Wu
2020	SSHFD: Single Shot Human Fall Detection with Occluded Joints Resilience. Umar Asif, Stefan von Cavallar, Jianbin Tang, Stefan Harrer
2020	ST-MFM: A Spatiotemporal Multi-Modal Fusion Model for Urban Anomalies Prediction. Ruiqiang Liu, Shuai Zhao, Bo Cheng, Hao Yang, Haina Tang, Fangfang Yang
2020	STRiKE: Rule-Driven Relational Learning Using Stratified k-Entailment. Martin Svatos, Steven Schockaert, Jesse Davis, Ondrej Kuzelka
2020	Saliency Detection with Deformable Convolution and Feature Attention. Zhe Zhang, Junhui Ma, Panpan Xu, Wencheng Wang
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2020	Search for Better Students to Learn Distilled Knowledge. Jindong Gu, Volker Tresp
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2020	Segmented Tables: An Efficient Modeling Tool for Constraint Reasoning. Gilles Audemard, Christophe Lecoutre, Mehdi Maamar
2020	Self-Attention-Based Fully-Inception Networks for Continuous Sign Language Recognition. Mingjie Zhou, Michael Ng, Zixin Cai, Ka Chun Cheung
2020	Semantic Point Completion Network for 3D Semantic Scene Completion. Min Zhong, Gang Zeng
2020	Semantics of Negative Sequential Patterns. Philippe Besnard, Thomas Guyet
2020	Semantics-Reinforced Networks for Question Generation. Zhuang Liu, Kaiyu Huang, Degen Huang, Jun Zhao
2020	Sensitivity Analysis for Dimensionality Reduction in Agent-Based Modeling. Bianca Granato, Nicole Y. K. Li-Jessen
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2020	Sequencing, Combining and Sampling Classifiers to Help Find Needles in Haystacks. Jaebeen Lee, Léa A. Deleris
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2020	Strong Statistical Correlation Revealed by Quantum Entanglement for Supervised Learning. Junwei Zhang, Yuexian Hou, Zhao Li, Long Zhang, Xia Chen
2020	Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors. Yue Zhang, Arti Ramesh
2020	Structure Matters: Towards Generating Transferable Adversarial Images. Dan Peng, Zizhan Zheng, Linhao Luo, Xiaofeng Zhang
2020	TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification. Yushan Liu, Markus M. Geipel, Christoph Tietz, Florian Buettner
2020	TREPAN Reloaded: A Knowledge-Driven Approach to Explaining Black-Box Models. Roberto Confalonieri, Tillman Weyde, Tarek R. Besold, Fermín Moscoso del Prado Martín
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2020	Task-Aware Performance Prediction for Efficient Architecture Search. Efi Kokiopoulou, Anja Hauth, Luciano Sbaiz, Andrea Gesmundo, Gábor Bartók, Jesse Berent
2020	Temporal Web Service QoS Prediction via Kalman Filter-Incorporated Latent Factor Analysis. Ye Yuan, Mingsheng Shang, Xin Luo
2020	The Automated Inspection of Opaque Liquid Vaccines. Gregory Palmer, Benjamin Schnieders, Rahul Savani, Karl Tuyls, Joscha-David Fossel, Harry Flore
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2020	The Impact of Linguistic Knowledge in Different Strategies to Learn Cross-Lingual Distributional Models. Pablo Gamallo
2020	The Last Voting Rule Is Home: Complexity of Control by Partition of Candidates or Voters in Maximin Elections. Cynthia Maushagen, Jörg Rothe
2020	The Quality of Content Publishing in the Digital Era. Vittorio Bilò, Michele Flammini, Cosimo Vinci
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2020	Topological Bayesian Optimization with Persistence Diagrams. Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada
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2020	Towards Meta-Reasoning for Ontologies: A Roadmap. Yuan-Fang Li, Yong-Bin Kang
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2020	Tracking AI: The Capability Is (Not) Near. Fernando Martínez-Plumed, José Hernández-Orallo, Emilia Gómez
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2020	Transformer-Based Argument Mining for Healthcare Applications. Tobias Mayer, Elena Cabrio, Serena Villata
2020	Tree Search for the Sequential Ordering Problem. Luc Libralesso, Abdel-Malik Bouhassoun, Hadrien Cambazard, Vincent Jost
2020	Tutor-Instructing Global Pruning for Accelerating Convolutional Neural Networks. Fang Yu, Li Cui
2020	Understanding Individual Behaviour: From Virtual to Physical Patterns. Marco De Nadai, Bruno Lepri, Nuria Oliver
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2020	Uniform State Abstraction for Reinforcement Learning. John Burden, Daniel Kudenko
2020	Unsupervised Adversarial Learning of Anomaly Detection in the Wild. Amanda Berg, Michael Felsberg, Jörgen Ahlberg
2020	Unsupervised Learning of Interpretable Dialog Models. Dhiraj Madan, Dinesh Raghu, Gaurav Pandey, Sachindra Joshi
2020	VT-LINKER: Visual-Textual-Knowledge Entity Linker. Shahi Dost, Luciano Serafini, Marco Rospocher, Lamberto Ballan, Alessandro Sperduti
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