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ORCID24th ECAI 2020: Santiago de Compostela, Spain
- Giuseppe De Giacomo, Alejandro Catalá, Bistra Dilkina, Michela Milano, Senén Barro, Alberto Bugarín
, Jérôme Lang:
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). Frontiers in Artificial Intelligence and Applications 325, IOS Press 2020, ISBN 978-1-64368-100-9
Research Article
- Juan Afanador, Nir Oren, Murilo S. Baptista, Maria Araujo:
From Eigentrust to a Trust-Measuring Algorithm in the Max-Plus Algebra. 3-10 - Vincenzo Auletta, Giuseppe De Nittis, Diodato Ferraioli, Nicola Gatti, Domenico Longo:
Strategic Monitor Placement Against Malicious Flows. 11-18 - Vincenzo Auletta, Diodato Ferraioli, Gianluigi Greco:
On the Effectiveness of Social Proof Recommendations in Markets with Multiple Products. 19-26 - Francesco Belardinelli, Vadim Malvone:
Verifying Strategic Abilities in Multi-Agent Systems via First-Order Entailment. 27-34 - Vittorio Bilò, Michele Flammini, Cosimo Vinci:
The Quality of Content Publishing in the Digital Era. 35-42 - Can Kurtan, Pinar Yolum, Mehdi Dastani:
An Ideal Team Is More than a Team of Ideal Agents. 43-50 - Jeremias Dötterl, Ralf Bruns, Jürgen Dunkel, Sascha Ossowski:
On-Time Delivery in Crowdshipping Systems: An Agent-Based Approach Using Streaming Data. 51-58 - Marco Faella, Luigi Sauro:
Preferences over Rankings and How to Control Them Using Rewards. 59-66 - Piotr Faliszewski, Arkadii Slinko, Nimrod Talmon:
Multiwinner Rules with Variable Number of Winners. 67-74 - Philippe Balbiani, Hans van Ditmarsch, Saúl Fernández González:
From Public Announcements to Asynchronous Announcements. 75-82 - Zack Fitzsimmons, Edith Hemaspaandra:
Election Score Can Be Harder than Winner. 83-90 - Michele Flammini, Manuel Mauro, Matteo Tonelli, Cosimo Vinci:
Inequity Aversion Pricing in Multi-Unit Markets. 91-98 - Michele Flammini, Hugo Gilbert:
Parameterized Complexity of Manipulating Sequential Allocation. 99-106 - Dimitris Fotakis, Laurent Gourvès, Stelios Kasouridis, Aris Pagourtzis:
Object Allocation and Positive Graph Externalities. 107-114 - Valentin Goranko, Antti Kuusisto, Raine Rönnholm:
Gradual Guaranteed Coordination in Repeated Win-Lose Coordination Games. 115-122 - Pallavi Jain, Nimrod Talmon:
Committee Selection with Multimodal Preferences. 123-130 - Boas Kluiving, Adriaan de Vries, Pepijn Vrijbergen, Arthur Boixel, Ulle Endriss:
Analysing Irresolute Multiwinner Voting Rules with Approval Ballots via SAT Solving. 131-138 - Borja G. León, Francesco Belardinelli:
Extended Markov Games to Learn Multiple Tasks in Multi-Agent Reinforcement Learning. 139-146 - Hugo Martin, Patrice Perny:
New Computational Models for the Choquet Integral. 147-154 - Bastien Maubert, Aniello Murano, Sophie Pinchinat, François Schwarzentruber, Silvia Stranieri:
Dynamic Epistemic Logic Games with Epistemic Temporal Goals. 155-162 - Cynthia Maushagen, Jörg Rothe:
The Last Voting Rule Is Home: Complexity of Control by Partition of Candidates or Voters in Maximin Elections. 163-170 - Johannes Nauta, Stef Van Havermaet, Pieter Simoens, Yara Khaluf:
Enhanced Foraging in Robot Swarms Using Collective Lévy Walks. 171-178 - Thanh Hong Nguyen, Nam Vu, Amulya Yadav, Uy Nguyen:
Decoding the Imitation Security Game: Handling Attacker Imitative Behavior Deception. 179-186 - Thanh Hong Nguyen, Andrew Butler, Haifeng Xu:
Tackling Imitative Attacker Deception in Repeated Bayesian Stackelberg Security Games. 187-194 - Pierre Rust, Gauthier Picard, Fano Ramparany:
Resilient Distributed Constraint Optimization in Physical Multi-Agent Systems. 195-202 - Parham Shams, Aurélie Beynier, Sylvain Bouveret, Nicolas Maudet:
Fair in the Eyes of Others. 203-210 - Haomin Shi, Yao Zhang, Zilin Si, Letong Wang, Dengji Zhao:
Maximal Information Propagation with Budgets. 211-218 - Taiki Todo, Makoto Yokoo:
Split Manipulations in Cost Sharing of Minimum Cost Spanning Tree. 219-226 - Taiki Todo, Nodoka Okada, Makoto Yokoo:
False-Name-Proof Facility Location on Discrete Structures. 227-234 - Nic Wilson:
Voting Rules from Random Relations. 235-242 - Yongjie Yang:
On the Complexity of Constructive Control Under Nearly Single-Peaked Preferences. 243-250 - Wen Zhang, Dengji Zhao, Yao Zhang:
Incentivize Diffusion with Fair Rewards. 251-258 - Zhiqiang Zhuang, Kewen Wang, Junhu Wang, Heng Zhang, Zhe Wang, Zhiguo Gong:
Lifting Majority to Unanimity in Opinion Diffusion. 259-266 - Andrea Cascallar Fuentes, Alejandro Ramos-Soto, Alberto José Bugarín Diz:
An Experimental Study on the Behaviour of Fuzzy Quantification Models. 267-274 - Maryam Hasani-Shoreh, Renato Hermoza Aragonés, Frank Neumann:
Neural Networks in Evolutionary Dynamic Constrained Optimization: Computational Cost and Benefits. 275-282 - Hisao Ishibuchi, Lie Meng Pang, Ke Shang:
A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive. 283-290 - Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima:
Many-Objective Problems Are Not Always Difficult for Pareto Dominance-Based Evolutionary Algorithms. 291-298 - Hirad Assimi, Oscar Harper, Yue Xie, Aneta Neumann, Frank Neumann:
Evolutionary Bi-Objective Optimization for the Dynamic Chance-Constrained Knapsack Problem Based on Tail Bound Objectives. 307-314 - Gilles Audemard, Christophe Lecoutre, Mehdi Maamar:
Segmented Tables: An Efficient Modeling Tool for Constraint Reasoning. 315-322 - Guillaume Claus, Hadrien Cambazard, Vincent Jost:
Analysis of Reduced Costs Filtering for Alldifferent and Minimum Weight Alldifferent Global Constraints. 323-330 - Gökberk Koçak, Özgür Akgün, Tias Guns, Ian Miguel:
Exploiting Incomparability in Solution Dominance: Improving General Purpose Constraint-Based Mining. 331-338 - Stepan Kochemazov, Oleg Zaikin, Alexander A. Semenov, Victor Kondratiev:
Speeding Up CDCL Inference with Duplicate Learnt Clauses. 339-346 - Marcus Leivo, Jeremias Berg, Matti Järvisalo:
Preprocessing in Incomplete MaxSAT Solving. 347-354 - Steve Prestwich:
Robust Constraint Acquisition by Sequential Analysis. 355-362 - Ruixin Wang, Nicolas Barnier:
Global Propagation of Transition Cost for Fixed Job Scheduling. 363-370 - Hugues Wattez, Frédéric Koriche, Christophe Lecoutre, Anastasia Paparrizou, Sébastien Tabary:
Learning Variable Ordering Heuristics with Multi-Armed Bandits and Restarts. 371-378 - Oleg Zaikin, Alexey Ignatiev, João Marques-Silva:
Branch Location Problems with Maximum Satisfiability. 379-386 - Gal Cohensius, Reshef Meir, Nadav Oved, Roni Stern:
Bidding in Spades. 387-394 - Stefan Edelkamp:
Representing and Reducing Uncertainty for Enumerating the Belief Space to Improve Endgame Play in Skat. 395-402 - Francesco Morandin, Gianluca Amato, Marco Fantozzi, Rosa Gini, Carlo Metta, Maurizio Parton:
SAI: A Sensible Artificial Intelligence That Plays with Handicap and Targets High Scores in 9×9 Go. 403-410 - Éric Piette, Dennis J. N. J. Soemers, Matthew Stephenson, Chiara F. Sironi, Mark H. M. Winands, Cameron Browne:
Ludii - The Ludemic General Game System. 411-418 - Nawal Benabbou, Cassandre Leroy, Thibaut Lust:
Regret-Based Elicitation for Solving Multi-Objective Knapsack Problems with Rank-Dependent Aggregators. 419-426 - André Biedenkapp, H. Furkan Bozkurt, Theresa Eimer, Frank Hutter, Marius Lindauer:
Dynamic Algorithm Configuration: Foundation of a New Meta-Algorithmic Framework. 427-434 - Vanja Doskoc, Tobias Friedrich, Andreas Göbel, Aneta Neumann, Frank Neumann, Francesco Quinzan:
Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings. 435-442 - André Hottung, Kevin Tierney:
Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem. 443-450 - Rishabh K. Iyer:
Robust Submodular Minimization with Applications to Cooperative Modeling. 451-458 - Luc Libralesso, Abdel-Malik Bouhassoun, Hadrien Cambazard, Vincent Jost:
Tree Search for the Sequential Ordering Problem. 459-465 - Lucie Pansart, Hadrien Cambazard, Nicolas Catusse:
New Randomized Strategies for the Color Coding Algorithm. 466-473 - Xiao Dong, Huaxiang Zhang, Gianluca Demartini:
A Region Selection Model to Identify Unknown Unknowns in Image Datasets. 474-481 - Rajni Jindal, Maitree Leekha, Minkush Manuja, Mononito Goswami:
What Makes a Better Companion? Towards Social & Engaging Peer Learning. 482-489 - Tharindu Cyril Weerasooriya, Tong Liu, Christopher M. Homan:
Neighborhood-Based Pooling for Population-Level Label Distribution Learning. 490-497 - Nitin Yadav, Carsten Murawski, Sebastian Sardiña, Peter Bossaerts:
Is Hardness Inherent in Computational Problems? Performance of Human and Electronic Computers on Random Instances of the 0-1 Knapsack Problem. 498-505 - Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou:
Secure Social Recommendation Based on Secret Sharing. 506-512 - Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury:
Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking. 513-520 - Ming Liu, Jianxin Liao, Jingyu Wang, Qi Qi, Haifeng Sun:
Dual Attention-Based Adversarial Autoencoder for Attributed Network Embedding. 521-528 - Tianxin Wang, Jingwu Chen, Fuzhen Zhuang, Leyu Lin, Feng Xia, Lihuan Du, Qing He:
Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction. 529-536 - Chaoyang Wang, Zhiqiang Guo, Jianjun Li, Peng Pan, Guohui Li:
A Text-Based Deep Reinforcement Learning Framework for Interactive Recommendation. 537-544 - Yong Xu, Jiahui Chen, Chao Huang, Bo Zhang, Hao Xing, Peng Dai, Liefeng Bo:
Joint Modeling of Local and Global Behavior Dynamics for Session-Based Recommendation. 545-552 - Yangjun Xu, Liang Chen, Fenfang Xie, Weibo Hu, Jieming Zhu, Chuan Chen, Zibin Zheng:
Directional Adversarial Training for Recommender Systems. 553-560 - Ye Yuan, Mingsheng Shang, Xin Luo:
Temporal Web Service QoS Prediction via Kalman Filter-Incorporated Latent Factor Analysis. 561-568 - Felicidad Aguado, Pedro Cabalar, Jorge Fandinno, Gilberto Pérez, Concepción Vidal:
Explicit Negation in Linear-Dynamic Equilibrium Logic. 569-576 - Gianvincenzo Alfano, Andrea Cohen, Sebastian Gottifredi, Sergio Greco, Francesco Parisi, Guillermo Ricardo Simari:
Dynamics in Abstract Argumentation Frameworks with Recursive Attack and Support Relations. 577-584 - Javier Álvez, Itziar Gonzalez-Dios, German Rigau:
Applying the Closed World Assumption to SUMO-Based FOL Ontologies for Effective Commonsense Reasoning. 585-592 - Leila Amgoud:
Evaluation of Analogical Arguments by Choquet Integral. 593-600 - Theofanis I. Aravanis, Pavlos Peppas, Mary-Anne Williams:
Modelling Belief-Revision Functions at Extended Languages. 601-607 - Ofer Arieli, Jesse Heyninck:
Prioritized Simple Contrapositive Assumption-Based Frameworks. 608-615 - Franz Baader, Bartosz Bednarczyk, Sebastian Rudolph:
Satisfiability and Query Answering in Description Logics with Global and Local Cardinality Constraints. 616-623 - Francesco Belardinelli, Stéphane Demri:
Reasoning with a Bounded Number of Resources in ATL+. 624-631 - Nicola Bertoglio, Gianfranco Lamperti, Marina Zanella, Xiangfu Zhao:
Diagnosis of Temporal Faults in Discrete-Event Systems. 632-639 - Bart Bogaerts, Emilio Gamba, Jens Claes, Tias Guns:
Step-Wise Explanations of Constraint Satisfaction Problems. 640-647 - Zied Bouraoui, Jean-Marie Lagniez, Pierre Marquis, Valentin Montmirail:
Consolidating Modal Knowledge Bases. 648-655 - Pedro Cabalar, Martín Diéguez, Torsten Schaub, François Laferrière:
Implementing Dynamic Answer Set Programming over Finite Traces. 656-663 - Pedro Cabalar, Jorge Fandinno, Torsten Schaub, Philipp Wanko:
An ASP Semantics for Constraints Involving Conditional Aggregates. 664-671 - Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius:
Explanations for Ontology-Mediated Query Answering in Description Logics. 672-679 - Eleonora Chiodino, Davide Di Luccio, Antonio Lieto, Alberto Messina, Gian Luca Pozzato, Davide Rubinetti:
A Knowledge-Based System for the Dynamic Generation and Classification of Novel Contents in Multimedia Broadcasting. 680-687 - Quentin Cohen-Solal:
Minimality of Combined Qualitative Constraint Networks. 688-695 - Willem Conradie, Dario Della Monica, Emilio Muñoz-Velasco, Guido Sciavicco:
An Approach to Fuzzy Modal Logic of Time Intervals. 696-703 - Carl Corea, Matthias Thimm:
Towards Inconsistency Measurement in Business Rule Bases. 704-711 - Adnan Darwiche, Auguste Hirth:
On the Reasons Behind Decisions. 712-720 - Wolfgang Dvorák, Anna Rapberger, Stefan Woltran:
On the Relation Between Claim-Augmented Argumentation Frameworks and Collective Attacks. 721-728 - Thomas Eiter, Rafael Kiesel:
Weighted LARS for Quantitative Stream Reasoning. 729-736 - Bettina Fazzinga, Sergio Flesca, Filippo Furfaro:
Embedding the Trust Degrees of Agents in Abstract Argumentation. 737-744 - Tomasz Gogacz, Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Filip Murlak, Magdalena Ortiz, Mantas Simkus:
Ontology Focusing: Knowledge-Enriched Databases on Demand. 745-752 - Andreas Herzig, Emiliano Lorini, Elise Perrotin, Fabián Romero, François Schwarzentruber:
A Logic of Explicit and Implicit Distributed Belief. 753-760 - Till Hofmann, Tim Niemueller, Gerhard Lakemeyer:
Macro Operator Synthesis for ADL Domains. 761-768 - Anthony Hunter:
Generating Instantiated Argument Graphs from Probabilistic Information. 769-776 - Martin Jedwabny, Madalina Croitoru, Pierre Bisquert:
Gradual Semantics for Logic-Based Bipolar Graphs Using T-(Co)norms. 777-783 - Ernesto Jiménez-Ruiz, Asan Agibetov, Jiaoyan Chen, Matthias Samwald, Valerie Cross:
Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-Based Modules. 784-791 - Unmesh Joshi, Ceriel J. H. Jacobs, Jacopo Urbani:
Rewrite or Not Rewrite? ML-Based Algorithm Selection for Datalog Query Answering on Knowledge Graphs. 792-799 - Shakil M. Khan, Mikhail Soutchanski:
Necessary and Sufficient Conditions for Actual Root Causes. 800-808 - Kailun Luo, Yongmei Liu, Yves Lespérance, Ziliang Lin:
Agent Abstraction via Forgetting in the Situation Calculus. 809-816 - Tao Luo, Yifan Wei, Mei Yu, Xuewei Li, Mankun Zhao, Tianyi Xu, Jian Yu, Jie Gao, Ruiguo Yu:
BTDE: Block Term Decomposition Embedding for Link Prediction in Knowledge Graph. 817-824 - Munyque Mittelmann, Laurent Perrussel:
Auction Description Language (ADL): General Framework for Representing Auction-Based Markets. 825-832 - Hung Nghiep Tran, Atsuhiro Takasu:
Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion. 833-840 - Andreas Niskanen, Matti Järvisalo:
Strong Refinements for Hard Problems in Argumentation Dynamics. 841-848 - Andreas Niskanen, Matti Järvisalo:
Algorithms for Dynamic Argumentation Frameworks: An Incremental SAT-Based Approach. 849-856 - Francesco Parisi, John Grant:
On Measuring Inconsistency in Relational Databases with Denial Constraints. 857-864 - Nico Potyka:
Abstract Argumentation with Markov Networks. 865-872 - Patrick Rodler:
Reuse, Reduce and Recycle: Optimizing Reiter's HS-Tree for Sequential Diagnosis. 873-880 - Zeynep G. Saribatur, Johannes Peter Wallner, Stefan Woltran:
Explaining Non-Acceptability in Abstract Argumentation. 881-888 - Kai Sauerwald, Gabriele Kern-Isberner, Christoph Beierle:
A Conditional Perspective for Iterated Belief Contraction. 889-896 - Kenneth Skiba, Daniel Neugebauer, Jörg Rothe:
Complexity of Possible and Necessary Existence Problems in Abstract Argumentation. 897-904 - Umberto Straccia:
How Much Knowledge Is in a Knowledge Base? Introducing Knowledge Measures (Preliminary Report). 905-912 - Federico Toffano, Nic Wilson:
Minimality and Comparison of Sets of Multi-Attribute Vectors. 913-920 - Meng Wang, Tongtong Wu, Guilin Qi:
A Hash Learning Framework for Search-Oriented Knowledge Graph Embedding. 921-928 - Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi, Christian Gagné, Rakesh B. Bobba:
Toward Metrics for Differentiating Out-of-Distribution Sets. 929-936 - Adel Abusitta, Esma Aïmeur, Omar Abdel Wahab:
Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems. 937-944 - Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
Understanding and Training Deep Diagonal Circulant Neural Networks. 945-952 - Umar Asif, Jianbin Tang, Stefan Harrer:
Ensemble Knowledge Distillation for Learning Improved and Efficient Networks. 953-960 - Maroua Bahri, Albert Bifet, Silviu Maniu, Rodrigo Fernandes de Mello, Nikolaos Tziortziotis:
Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams. 961-968 - Ali Bakhshi, Aaron S. W. Wong, Stephan K. Chalup:
End-To-End Speech Emotion Recognition Based on Time and Frequency Information Using Deep Neural Networks. 969-975 - Sambaran Bandyopadhyay, Saley Vishal Vivek, M. Narasimha Murty:
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description. 976-983 - Kalliopi Basioti, George V. Moustakides, Emmanouil Z. Psarakis:
Maximal Correlation: An Alternative Criterion for Training Generative Networks. 984-991 - Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney:
Learning to Continually Learn. 992-1001 - Amanda Berg, Michael Felsberg, Jörgen Ahlberg:
Unsupervised Adversarial Learning of Anomaly Detection in the Wild. 1002-1008 - Philippe Besnard, Thomas Guyet:
Semantics of Negative Sequential Patterns. 1009-1015 - Ege Beyazit, Yi He, Nian-Feng Tzeng, Xindong Wu:
Online Learning to Accelerate Neural Network Inference with Traveling Classifiers. 1016-1023 - Faustine Bousquet, Sophie Lèbre, Christian Lavergne:
From Mixture of Longitudinal and Non-Gaussian Advertising Data to Click-Through-Rate Prediction. 1024-1030 - John Burden, Daniel Kudenko:
Uniform State Abstraction for Reinforcement Learning. 1031-1038 - Julian Busch, Jiaxing Pi, Thomas Seidl:
PushNet: Efficient and Adaptive Neural Message Passing. 1039-1046 - Giuseppe Canonaco, Marcello Restelli, Manuel Roveri:
Model-Free Non-Stationarity Detection and Adaptation in Reinforcement Learning. 1047-1054 - César Castelo-Fernández, Alexandre X. Falcão:
Improving Supervised Superpixel-Based Codebook Representations by Local Convolutional Features. 1055-1062 - Diqi Chen, Yizhou Wang, Wen Gao:
A Two-Stage Multi-Objective Deep Reinforcement Learning Framework. 1063-1070 - Junyang Chen, Zhiguo Gong, Quanyu Dai, Chunyuan Yuan, Weiwen Liu:
Adversarial Learning for Overlapping Community Detection and Network Embedding. 1071-1078 - Haoran Chen, Jianmin Li, Xiaolin Hu:
Delving Deeper into the Decoder for Video Captioning. 1079-1086 - Tianyu Cui, Pekka Marttinen, Samuel Kaski:
Learning Global Pairwise Interactions with Bayesian Neural Networks. 1087-1094 - Aïssatou Diallo, Markus Zopf, Johannes Fürnkranz:
Permutation Learning via Lehmer Codes. 1095-1102 - Raghuram Bharadwaj Diddigi, Chandramouli Kamanchi, Shalabh Bhatnagar:
A Convergent Off-Policy Temporal Difference Algorithm. 1103-1110 - Yuntao Du, Zhiwen Tan, Qian Chen, Yi Zhang, Chongjun Wang:
Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization. 1111-1118 - Gabriel Eilertsen, Daniel Jönsson, Timo Ropinski, Jonas Unger, Anders Ynnerman:
Classifying the Classifier: Dissecting the Weight Space of Neural Networks. 1119-1126 - Luca Erculiani, Fausto Giunchiglia, Andrea Passerini:
Continual Egocentric Object Recognition. 1127-1134 - Raül Fabra-Boluda, Cèsar Ferri, Fernando Martínez-Plumed, José Hernández-Orallo, M. José Ramírez-Quintana:
Family and Prejudice: A Behavioural Taxonomy of Machine Learning Techniques. 1135-1142 - Amir Feghahati, Christian R. Shelton, Michael J. Pazzani, Kevin Tang:
CDeepEx: Contrastive Deep Explanations. 1143-1151 - Ionela G. Mocanu, Vaishak Belle, Brendan Juba:
Polynomial-Time Implicit Learnability in SMT. 1152-1158 - Jindong Gu, Volker Tresp:
Search for Better Students to Learn Distilled Knowledge. 1159-1165 - Hantao Guo, Rui Yan, Yansong Feng, Xuesong Gao, Zhanxing Zhu:
Simplifying Graph Attention Networks with Source-Target Separation. 1166-1173 - Yi He, Baijun Wu, Di Wu, Xindong Wu:
On Partial Multi-Task Learning. 1174-1181 - José Hernández-Orallo, Jan Arne Telle:
Finite and Confident Teaching in Expectation: Sampling from Infinite Concept Classes. 1182-1189 - Liang Hou, Huawei Shen, Xueqi Cheng:
Dual Rejection Sampling for Wasserstein Auto-Encoders. 1190-1197 - Yun-Jui Hsu, Yi-Ting Chang, Chih-Ya Shen, Hong-Han Shuai, Wei-Lun Tseng, Chen-Hsu Yang:
On Minimizing Diagonal Block-Wise Differences for Neural Network Compression. 1198-1206 - Yi-Qi Hu, Zelin Liu, Hua Yang, Yang Yu, Yunfeng Liu:
Derivative-Free Optimization with Adaptive Experience for Efficient Hyper-Parameter Tuning. 1207-1214 - Wei Huang, Richard Yi Da Xu, Weitao Du, Yutian Zeng, Yunce Zhao:
Mean Field Theory for Deep Dropout Networks: Digging up Gradient Backpropagation Deeply. 1215-1222 - Anbu Huang, Yuanyuan Chen, Yang Liu, Tianjian Chen, Qiang Yang:
RPN: A Residual Pooling Network for Efficient Federated Learning. 1223-1229 - Andrei Ivanov, Anna Golovkina, Uwe Iben:
Polynomial Neural Networks and Taylor Maps for Dynamical Systems Simulation and Learning. 1230-1237 - Efi Kokiopoulou, Anja Hauth, Luciano Sbaiz, Andrea Gesmundo, Gábor Bartók, Jesse Berent:
Task-Aware Performance Prediction for Efficient Architecture Search. 1238-1245 - Cedric Kulbach, Patrick Philipp, Steffen Thoma:
Personalized Automated Machine Learning. 1246-1253 - Frantzeska Lavda, Magda Gregorová, Alexandros Kalousis:
Improving VAE Generations of Multimodal Data Through Data-Dependent Conditional Priors. 1254-1261 - Jaebeen Lee, Léa A. Deleris:
Sequencing, Combining and Sampling Classifiers to Help Find Needles in Haystacks. 1262-1268 - Xin Li, Xiaodong Jia, Xiao-Yuan Jing:
Negative-Aware Training: Be Aware of Negative Samples. 1269-1275 - Xiaoyun Li, Jie Gui, Ping Li:
Randomized Kernel Multi-View Discriminant Analysis. 1276-1284 - Xianzhen Li, Zhao Zhang, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang:
Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery. 1285-1292 - Yang Li, José M. F. Moura:
Forecaster: A Graph Transformer for Forecasting Spatial and Time-Dependent Data. 1293-1300 - Xuan Lin, Kaiqi Zhao, Tong Xiao, Zhe Quan, Zhi-Jie Wang, Philip S. Yu:
DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction. 1301-1308 - Yang Liu, Jiaying Peng, Liang Chen, Zibin Zheng:
Abstract Interpretation Based Robustness Certification for Graph Convolutional Networks. 1309-1315 - Hongbin Liu, Ickjai Lee:
Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting. 1316-1323 - Dong Liu, Antoine Honoré, Saikat Chatterjee, Lars K. Rasmussen:
Powering Hidden Markov Model by Neural Network Based Generative Models. 1324-1331 - 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:
Human Activity Recognition from Wearable Sensor Data Using Self-Attention. 1332-1339 - Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini, Marco Gori, Marco Maggini:
Relational Neural Machines. 1340-1347 - Santiago Mazuelas, Aritz Pérez:
General Supervision via Probabilistic Transformations. 1348-1354 - Min Zhang, Donglin Wang, Sibo Gai:
Knowledge Distillation for Model-Agnostic Meta-Learning. 1355-1362 - Seong-Eun Moon, Jong-Seok Lee:
Learning Conjunctive Information of Signals in Multi-Sensor Systems. 1363-1370 - Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori, Itsik Pe'er:
Variational Objectives for Markovian Dynamics with Backward Simulation. 1371-1378 - Jose M. Moyano, Eva L. Gibaja, Krzysztof J. Cios, Sebastián Ventura:
Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms. 1379-1386 - Nicolò Navarin, Dinh Van Tran, Alessandro Sperduti:
Learning Kernel-Based Embeddings in Graph Neural Networks. 1387-1394 - Miroslav Olsák, Cezary Kaliszyk, Josef Urban:
Property Invariant Embedding for Automated Reasoning. 1395-1402 - Jin-Woo Park, Jong-Seok Lee:
Dynamic Thresholding for Learning Sparse Neural Networks. 1403-1410 - Seonguk Park, Nojun Kwak:
Feature-Level Ensemble Knowledge Distillation for Aggregating Knowledge from Multiple Networks. 1411-1418 - Dan Peng, Zizhan Zheng, Linhao Luo, Xiaofeng Zhang:
Structure Matters: Towards Generating Transferable Adversarial Images. 1419-1426 - Afshin Sadeghi, Damien Graux, Hamed Shariat Yazdi, Jens Lehmann:
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs. 1427-1434 - Csanád Sándor, Szabolcs Pável, Lehel Csató:
Pruning CNN's with Linear Filter Ensembles. 1435-1442 - Emanuele Sansone, Hafiz Tiomoko Ali, Jiacheng Sun:
Coulomb Autoencoders. 1443-1450 - Benjamin Schelling, Lukas Miklautz, Claudia Plant:
Non-Linear Cluster Enhancement: Forcing Clusters into a Compact Shape. 1451-1458 - Katerina Hlavácková-Schindler, Claudia Plant:
Graphical Granger Causality by Information-Theoretic Criteria. 1459-1466 - Shaohuai Shi, Zhenheng Tang, Qiang Wang, Kaiyong Zhao, Xiaowen Chu:
Layer-Wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees. 1467-1474 - Hikaru Shindo, Masaaki Nishino, Yasuaki Kobayashi, Akihiro Yamamoto:
Metric Learning for Ordered Labeled Trees with pq-grams. 1475-1482 - Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada:
Topological Bayesian Optimization with Persistence Diagrams. 1483-1490 - Blaz Skrlj, Saso Dzeroski, Nada Lavrac, Matej Petkovic:
Feature Importance Estimation with Self-Attention Networks. 1491-1498 - Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu:
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. 1499-1506 - Jakob Sternby, Erik Thormarker, Michael Liljenstam:
Anomaly Detection Forest. 1507-1514 - Martin Svatos, Steven Schockaert, Jesse Davis, Ondrej Kuzelka:
STRiKE: Rule-Driven Relational Learning Using Stratified k-Entailment. 1515-1522 - Dariusz Sychel, Przemyslaw Klesk, Aneta Bera:
Relaxed Per-Stage Requirements for Training Cascades of Classifiers. 1523-1530 - Pawel Teisseyre:
Learning Classifier Chains Using Matrix Regularization: Application to Multimorbidity Prediction. 1531-1538 - Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini, Marco Gori:
A Lagrangian Approach to Information Propagation in Graph Neural Networks. 1539-1546 - Stevan Tomic, Federico Pecora, Alessandro Saffiotti:
Learning Normative Behaviors Through Abstraction. 1547-1554 - Niall Twomey, Michal Kozlowski, Raúl Santos-Rodríguez:
Neural ODEs with Stochastic Vector Field Mixtures. 1555-1562 - Andrea Valenti, Antonio Carta, Davide Bacciu:
Learning Style-Aware Symbolic Music Representations by Adversarial Autoencoders. 1563-1570 - Timothy Verstraeten, Pieter J. K. Libin, Ann Nowé:
Fleet Control Using Coregionalized Gaussian Process Policy Iteration. 1571-1578 - Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing:
Adversarial Domain Adaptation Being Aware of Class Relationships. 1579-1586 - Qunbo Wang, Wenjun Wu, Yuxing Qi, Zhimin Xin:
Combination of Active Learning and Self-Paced Learning for Deep Answer Selection with Bayesian Neural Network. 1587-1594 - Wei Wang, Zhihui Wang, Haojie Li, Juan Zhou, Zhengming Ding:
Adaptive Local Neighbors for Transfer Discriminative Feature Learning. 1595-1602 - Junshan Wang, Yilun Jin, Guojie Song, Xiaojun Ma:
EPNE: Evolutionary Pattern Preserving Network Embedding. 1603-1610 - Daegun Won, Peter J. Jansen, Jaime G. Carbonell:
Minimizing and Recovering from the Effect of Concept Drift via Feature Selection. 1611-1617 - Ziyi Yang, Iman Soltani Bozchalooi, Eric Darve:
Regularized Cycle Consistent Generative Adversarial Network for Anomaly Detection. 1618-1625 - Fangkai Yang, Wenjie Yin, Tetsunari Inamura, Mårten Björkman, Christopher Peters:
Group Behavior Recognition Using Attention- and Graph-Based Neural Networks. 1626-1633 - Liang Yang, Xi-Zhu Wu, Yuan Jiang, Zhi-Hua Zhou:
Multi-Label Learning with Deep Forest. 1634-1641 - Zhao Zhang, Yulin Sun, Yang Wang, Zhengjun Zha, Shuicheng Yan, Meng Wang:
Convolutional Dictionary Pair Learning Network for Image Representation Learning. 1642-1649 - Junwei Zhang, Yuexian Hou, Zhao Li, Long Zhang, Xia Chen:
Strong Statistical Correlation Revealed by Quantum Entanglement for Supervised Learning. 1650-1657 - Cheng Zhang, Qiuchi Li, Lingyu Hua, Dawei Song:
Assessing the Memory Ability of Recurrent Neural Networks. 1658-1665 - Yi Zhang, Jundong Shen, Zhecheng Zhang, Chongjun Wang:
Common and Discriminative Semantic Pursuit for Multi-Modal Multi-Label Learning. 1666-1673 - Yabin Zhang, Guang Yang, Suyun Zhao, Peng Ni, Hairong Lian, Hong Chen, Cuiping Li:
Partial Label Learning via Generative Adversarial Nets. 1674-1681 - Weijia Zhang, Lin Liu, Jiuyong Li:
Robust Multi-Instance Learning with Stable Instances. 1682-1689 - Hongce Zhang, Maxwell Shinn, Aarti Gupta, Arie Gurfinkel, Nham Le, Nina Narodytska:
Verification of Recurrent Neural Networks for Cognitive Tasks via Reachability Analysis. 1690-1697 - Yue Zhang, Arti Ramesh:
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors. 1698-1705 - Zhao Zhang, Zemin Tang, Zheng Zhang, Yang Wang, Jie Qin, Meng Wang:
Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition. 1706-1713 - Shao-Qun Zhang, Zhi-Hua Zhou:
Harmonic Recurrent Process for Time Series Forecasting. 1714-1721 - Lei Zhao, Xiaohui Wang, Lei Huang:
An Efficient Agreement Mechanism in CapsNets by Pairwise Product. 1722-1729 - Baozhou Zhu, Zaid Al-Ars, Wei Pan:
Towards Lossless Binary Convolutional Neural Networks Using Piecewise Approximation. 1730-1737 - Sambaran Bandyopadhyay, Anirban Biswas, Harsh Kara, M. N. Murty:
A Multilayered Informative Random Walk for Attributed Social Network Embedding. 1738-1745 - Song Bian, Weiwen Jiang, Qing Lu, Yiyu Shi, Takashi Sato:
NASS: Optimizing Secure Inference via Neural Architecture Search. 1746-1753 - Siyuan Chen, Jiahai Wang, Xin Du, Yanqing Hu:
A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage. 1754-1761 - Olivia Choudhury, Aris Gkoulalas-Divanis, Theodoros Salonidis, Issa Sylla, Yoonyoung Park, Grace Hsu, Amar Das:
A Syntactic Approach for Privacy-Preserving Federated Learning. 1762-1769 - Andre Mendes, Julian Togelius, Leandro dos Santos Coelho:
Multi-Stage Transfer Learning with an Application to Selection Process. 1770-1777 - Yijun Duan, Adam Jatowt, Masatoshi Yoshikawa:
Comparative Timeline Summarization via Dynamic Affinity-Preserving Random Walk. 1778-1785 - Yujia Gao, Liang Liu, Chi Zhang, Xiao Wang, Huadong Ma:
SI-AGAN: Spatial Interpolation with Attentional Generative Adversarial Networks for Environment Monitoring. 1786-1793 - Di Gao, Cheng Zhuo:
Private Knowledge Transfer via Model Distillation with Generative Adversarial Networks. 1794-1801 - Yuquan Le, Congqing He, Meng Chen, Youzheng Wu, Xiaodong He, Bowen Zhou:
Learning to Predict Charges for Legal Judgment via Self-Attentive Capsule Network. 1802-1809 - Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Suong Le, Wray L. Buntine:
MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records. 1810-1817 - Martin Hillebrand, Imran Khan, Filipa Peleja, Nuria Oliver:
MobiSenseUs: Inferring Aggregate Objective and Subjective Well-Being from Mobile Data. 1818-1825 - Zina M. Ibrahim, Honghan Wu, Richard J. B. Dobson:
Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units. 1826-1833 - Jianguo Jiang, Yue Lu, Min Yu, Yantao Jia, Jiafeng Guo, Chao Liu, Weiqing Huang:
CIDetector: Semi-Supervised Method for Multi-Topic Confidential Information Detection. 1834-1841 - Omar Krichen, Éric Anquetil, Nathalie Girard:
IntuiGeo: Interactive Tutor for Online Geometry Problems Resolution on Pen-Based Tablets. 1842-1849 - Yao Lai, Guolou Ping, Yuexin Wu, Chenhui Lu, Xiaojun Ye:
OpenSMax: Unknown Domain Generation Algorithm Detection. 1850-1857 - Yushan Liu, Markus M. Geipel, Christoph Tietz, Florian Buettner:
TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification. 1858-1865 - José Morano, Álvaro S. Hervella, Noelia Barreira, Jorge Novo, José Rouco:
Multimodal Transfer Learning-Based Approaches for Retinal Vascular Segmentation. 1866-1873 - Chaina Santos Oliveira, Caio C. A. Tenório, Ricardo B. C. Prudêncio:
Item Response Theory to Estimate the Latent Ability of Speech Synthesizers. 1874-1880 - Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell:
Hope Speech Detection: A Computational Analysis of the Voice of Peace. 1881-1889 - Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell:
Mining Insights from Large-Scale Corpora Using Fine-Tuned Language Models. 1890-1897 - Gregory Palmer, Benjamin Schnieders, Rahul Savani, Karl Tuyls, Joscha-David Fossel, Harry Flore:
The Automated Inspection of Opaque Liquid Vaccines. 1898-1905 - Kumaran Ragunathan, Kalyani Selvarajah, Ziad Kobti:
Link Prediction by Analyzing Common Neighbors Based Subgraphs Using Convolutional Neural Network. 1906-1913 - Maciej Rapacz, Radoslaw Lazarz:
Automatic Extraction of Leaf Venation Complex Networks. 1914-1921 - Ruiqiang Liu, Shuai Zhao, Bo Cheng, Hao Yang, Haina Tang, Fangfang Yang:
ST-MFM: A Spatiotemporal Multi-Modal Fusion Model for Urban Anomalies Prediction. 1922-1929 - Skylar Sible, Rodrigo Iza-Teran, Jochen Garcke, Nikola Aulig, Patricia Wollstadt:
A Compact Spectral Descriptor for Shape Deformations. 1930-1937 - Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant P. Reddy, Manuela Veloso:
Heuristics for Link Prediction in Multiplex Networks. 1938-1945 - Amos Treiber, Alejandro Molina, Christian Weinert, Thomas Schneider, Kristian Kersting:
CryptoSPN: Privacy-Preserving Sum-Product Network Inference. 1946-1953 - Zhaotao Wu, Jia Wei, Wenguang Yuan, Jiabing Wang, Tolga Tasdizen:
Inter-Slice Image Augmentation Based on Frame Interpolation for Boosting Medical Image Segmentation Accuracy. 1954-1961 - Remmy A. M. Zen, Long My, Ryan Tan, Frédéric Hébert, Mario Gattobigio, Christian Miniatura, Dario Poletti, Stéphane Bressan:
Finding Quantum Critical Points with Neural-Network Quantum States. 1962-1969 - Timothé Bernard, Tanguy Moreau, Clément Viricel, Paul Mougel, Christophe Gravier, Frédérique Laforest:
Learning Joint Job Embeddings Using a Job-Oriented Asymmetrical Pairing System. 1970-1977 - Magdalena Biesialska, Marta R. Costa-jussà:
Refinement of Unsupervised Cross-Lingual Word Embeddings. 1978-1981 - Qian Cao, Shaohui Kuang, Deyi Xiong:
Learning to Reuse Translations: Guiding Neural Machine Translation with Examples. 1982-1989 - Oier Lopez de Lacalle, Ander Salaberria, Aitor Soroa, Gorka Azkune, Eneko Agirre:
Evaluating Multimodal Representations on Visual Semantic Textual Similarity. 1990-1997 - Chaoqun Duan, Lei Cui, Shuming Ma, Furu Wei, Conghui Zhu, Tiejun Zhao:
Multimodal Matching Transformer for Live Commenting. 1998-2005 - Markus Eberts, Adrian Ulges:
Span-Based Joint Entity and Relation Extraction with Transformer Pre-Training. 2006-2013 - Pablo Gamallo:
The Impact of Linguistic Knowledge in Different Strategies to Learn Cross-Lingual Distributional Models. 2014-2021 - Zheng Gao, Lujun Zhao, Heng Huang, Hongsong Li, Changlong Sun, Luo Si, Xiaozhong Liu:
Behavior Based Dynamic Summarization on Product Aspects via Reinforcement Neighbour Selection. 2022-2029 - Vivek Gupta, Ankit Kumar, Pegah Nokhiz, Harshit Gupta, Partha P. Talukdar:
Improving Document Classification with Multi-Sense Embeddings. 2030-2037 - Xiaoqi Jia, Jianwei Tai, Hang Zhou, Yakai Li, Weijuan Zhang, Haichao Du, Qingjia Huang:
ET-GAN: Cross-Language Emotion Transfer Based on Cycle-Consistent Generative Adversarial Networks. 2038-2045 - Qi Jia, Mengxue Zhang, Shengyao Zhang, Kenny Q. Zhu:
Matching Questions and Answers in Dialogues from Online Forums. 2046-2053 - Ye Jiang, Yimin Wang, Xingyi Song, Diana Maynard:
Comparing Topic-Aware Neural Networks for Bias Detection of News. 2054-2061 - Jae Hee Lee, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert:
Capturing Word Order in Averaging Based Sentence Embeddings. 2062-2069 - Jinqing Li, Dakui Wang, Xiaojun Chen, Pencheng Liao, Shujuan Chen:
A Shared-Word Sensitive Sequence-to-Sequence Features Extractor for Sentences Matching. 2070-2077 - Zhuang Liu, Kaiyu Huang, Degen Huang, Jun Zhao:
Semantics-Reinforced Networks for Question Generation. 2078-2084 - Zebo Liu, Kehan Li, Xu Tan, Jiming Chen:
IAD: A Benchmark Dataset and a New Method for Illegal Advertising Classification. 2085-2092 - Jingshu Liu, Emmanuel Morin, Sebastián Peña Saldarriaga, Joseph Lark:
A Unified and Unsupervised Framework for Bilingual Phrase Alignment on Specialized Comparable Corpora. 2093-2100 - Dhiraj Madan, Dinesh Raghu, Gaurav Pandey, Sachindra Joshi:
Unsupervised Learning of Interpretable Dialog Models. 2101-2107 - Tobias Mayer, Elena Cabrio, Serena Villata:
Transformer-Based Argument Mining for Healthcare Applications. 2108-2115 - Idriss Mghabbar, Pirashanth Ratnamogan:
Building a Multi-Domain Neural Machine Translation Model Using Knowledge Distillation. 2116-2123 - James O'Neill, Danushka Bollegala:
Meta-Embedding as Auxiliary Task Regularization. 2124-2131 - Hongliang Pan, Zheng Lin, Peng Fu, Weiping Wang:
Modeling the Incongruity Between Sentence Snippets for Sarcasm Detection. 2132-2139 - Claude Pasquier, Célia da Costa Pereira, Andrea G. B. Tettamanzi:
Extending a Fuzzy Polarity Propagation Method for Multi-Domain Sentiment Analysis with Word Embedding and POS Tagging. 2140-2147 - Jiahuan Pei, Pengjie Ren, Christof Monz, Maarten de Rijke:
Retrospective and Prospective Mixture-of-Generators for Task-Oriented Dialogue Response Generation. 2148-2155 - Yankun Ren, Jianbin Lin, Siliang Tang, Jun Zhou, Shuang Yang, Yuan Qi, Xiang Ren:
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models. 2156-2163 - Adam Richard-Bollans, Brandon Bennett, Anthony G. Cohn:
Automatic Generation of Typicality Measures for Spatial Language in Grounded Settings. 2164-2171 - Carolina Scarton, Pranava Madhyastha, Lucia Specia:
Deciding When, How and for Whom to Simplify. 2172-2179 - Hendrik ter Horst, Philipp Cimiano:
Incorporating Semantic Dependencies Extracted from Knowledge Graphs into Joint Inference Template-Based Information Extraction. 2180-2187 - Jiachen Tian, Shizhan Chen, Xiaowang Zhang, Zhiyong Feng:
A Graph-Based Measurement for Text Imbalance Classification. 2188-2195 - Qianlong Wang, Jiangtao Ren:
Sequence Prediction Model for Aspect-Level Sentiment Classification. 2196-2203 - Matheus Werner, Eduardo Sany Laber:
Speeding up Word Mover's Distance and Its Variants via Properties of Distances Between Embeddings. 2204-2211 - Sixing Wu, Fang Chen, Fangzhao Wu, Yongfeng Huang, Xing Li:
A Multi-Task Learning Neural Network for Emotion-Cause Pair Extraction. 2212-2219 - Lianwei Wu, Yuan Rao:
Adaptive Interaction Fusion Networks for Fake News Detection. 2220-2227 - Lulu Xiao, Xiaoye Qu, Ruixuan Li, Jun Wang, Pan Zhou, Yuhua Li:
Fine-Grained Text Sentiment Transfer via Dependency Parsing. 2228-2235 - Xiaolu Wang, Haifeng Sun, Qi Qi, Jingyu Wang:
SETNet: A Novel Semi-Supervised Approach for Semantic Parsing. 2236-2243 - Minghong Xu, Piji Li, Haoran Yang, Pengjie Ren, Zhaochun Ren, Zhumin Chen, Jun Ma:
A Neural Topical Expansion Framework for Unstructured Persona-Oriented Dialogue Generation. 2244-2251 - Jincheng Xu, Qingfeng Du:
On the Interpretation of Convolutional Neural Networks for Text Classification. 2252-2259 - Chang Xu, Cécile Paris, Surya Nepal, Ross Sparks, Chong Long, Yafang Wang:
DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains. 2260-2267 - Zhihao Ye, Zhiyong Li:
A Variant of Recurrent Entity Networks for Targeted Aspect-Based Sentiment Analysis. 2268-2274 - Zhihao Ye, Gongyao Jiang, Ye Liu, Zhiyong Li, Jin Yuan:
Document and Word Representations Generated by Graph Convolutional Network and BERT for Short Text Classification. 2275-2281 - Bowen Yu, Zhenyu Zhang, Xiaobo Shu, Tingwen Liu, Yubin Wang, Bin Wang, Sujian Li:
Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy. 2282-2289 - Hamid Zafar, Maryam Tavakol, Jens Lehmann:
Distantly Supervised Question Parsing. 2290-2297 - Pei Zhang, Xu Zhang, Wei Chen, Jian Yu, Yanfeng Wang, Deyi Xiong:
Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation. 2298-2305 - Tong Zhang, Wei Ye, Xiangyu Xi, Long Zhang, Shikun Zhang, Wen Zhao:
Leveraging Human Prior Knowledge to Learn Sense Representations. 2306-2313 - Li Zhou, Tingyu Wang, Hong Qu, Li Huang, Yuguo Liu:
A Weighted GCN with Logical Adjacency Matrix for Relation Extraction. 2314-2321 - Blai Bonet, Hector Geffner:
Learning First-Order Symbolic Representations for Planning from the Structure of the State Space. 2322-2329 - Riccardo De Benedictis, Amedeo Cesta:
Lifted Heuristics for Timeline-Based Planning. 2330-2337 - Minh Do, Zhihui Wang, Bryan O'Gorman, Davide Venturelli, Eleanor Gilbert Rieffel, Jeremy Frank:
Planning for Compilation of a Quantum Algorithm for Graph Coloring. 2338-2345 - Patrick Ferber, Malte Helmert, Jörg Hoffmann:
Neural Network Heuristics for Classical Planning: A Study of Hyperparameter Space. 2346-2353 - Francisco Javier Gil Gala, Carlos Mencía, María R. Sierra, Ramiro Varela:
Exhaustive Search of Priority Rules for On-Line Scheduling. 2354-2361 - Antonio Garrido, Sergio Jiménez:
Learning Temporal Action Models via Constraint Programming. 2362-2369 - Jakub Michaliszyn, Jan Otop:
Learning Deterministic Automata on Infinite Words. 2370-2377 - Vincent Thomas, Gérémy Hutin, Olivier Buffet:
Monte Carlo Information-Oriented Planning. 2378-2385 - Alexander Tuisov, Erez Karpas:
Automated Verification of Social Law Robustness for Reactive Agents. 2386-2393 - Christabel Wayllace, Sarah Keren, Avigdor Gal, Erez Karpas, William Yeoh, Shlomo Zilberstein:
Accounting for Observer's Partial Observability in Stochastic Goal Recognition Design. 2394-2401 - Avinash Kumar Singh, Neha Baranwal, Kai-Florian Richter:
A Fuzzy Inference System for a Visually Grounded Robot State of Mind. 2402-2409 - Pablo Lanillos, Jordi Pagès, Gordon Cheng:
Robot Self/Other Distinction: Active Inference Meets Neural Networks Learning in a Mirror. 2410-2416 - Angelo Oddi, Riccardo Rasconi, Vieri Giuliano Santucci, Gabriele Sartor, Emilio Cartoni, Francesco Mannella, Gianluca Baldassarre:
Integrating Open-Ended Learning in the Sense-Plan-Act Robot Control Paradigm. 2417-2424 - Daniel Beßler, Robert Porzel, Mihai Pomarlan, Michael Beetz, Rainer Malaka, John A. Bateman:
A Formal Model of Affordances for Flexible Robotic Task Execution. 2425-2432 - Thomas A. Henzinger, Anna Lukina, Christian Schilling:
Outside the Box: Abstraction-Based Monitoring of Neural Networks. 2433-2440 - Kwabena Nuamah, Alan Bundy:
Explainable Inference in the FRANK Query Answering System. 2441-2448 - Oana Cocarascu, Andria Stylianou, Kristijonas Cyras, Francesca Toni:
Data-Empowered Argumentation for Dialectically Explainable Predictions. 2449-2456 - Roberto Confalonieri, Tillman Weyde, Tarek R. Besold, Fermín Moscoso del Prado Martín:
TREPAN Reloaded: A Knowledge-Driven Approach to Explaining Black-Box Models. 2457-2464 - Ian Davidson, S. S. Ravi:
A Framework for Determining the Fairness of Outlier Detection. 2465-2472 - Botty Dimanov, Umang Bhatt, Mateja Jamnik, Adrian Weller:
You Shouldn't Trust Me: Learning Models Which Conceal Unfairness from Multiple Explanation Methods. 2473-2480 - Anton Fuxjaeger, Vaishak Belle:
Logical Interpretations of Autoencoders. 2481-2488 - Bishwamittra Ghosh, Dmitry Malioutov, Kuldeep S. Meel:
Classification Rules in Relaxed Logical Form. 2489-2496 - Julien Girard-Satabin, Guillaume Charpiat, Zakaria Chihani, Marc Schoenauer:
CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators. 2497-2504 - Dario Guidotti, Francesco Leofante, Luca Pulina, Armando Tacchella:
Verification of Neural Networks: Enhancing Scalability Through Pruning. 2505-2512 - Patrick Henriksen, Alessio R. Lomuscio:
Efficient Neural Network Verification via Adaptive Refinement and Adversarial Search. 2513-2520 - José Hernández-Orallo, Fernando Martínez-Plumed, Shahar Avin, Jess Whittlestone, Seán Ó hÉigeartaigh:
AI Paradigms and AI Safety: Mapping Artefacts and Techniques to Safety Issues. 2521-2528 - Adam White, Artur S. d'Avila Garcez:
Measurable Counterfactual Local Explanations for Any Classifier. 2529-2535 - Junkun Yuan, Shaofang Zhou, Lanfen Lin, Feng Wang, Jia Cui:
Black-Box Adversarial Attacks Against Deep Learning Based Malware Binaries Detection with GAN. 2536-2542 - Yue Zhang, Arti Ramesh:
Learning Fairness-Aware Relational Structures. 2543-2550 - Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le:
Causal Query in Observational Data with Hidden Variables. 2551-2558 - Adnan Darwiche:
An Advance on Variable Elimination with Applications to Tensor-Based Computation. 2559-2568 - Vincent Derkinderen, Luc De Raedt:
Algebraic Circuits for Decision Theoretic Inference and Learning. 2569-2576 - Fan Ding, Hanjing Wang, Ashish Sabharwal, Yexiang Xue:
Towards Efficient Discrete Integration via Adaptive Quantile Queries. 2577-2584 - Marco Faella, Alberto Finzi, Luigi Sauro:
Rapidly Finding the Best Arm Using Variance. 2585-2591 - Marcel Gehrke, Ralf Möller, Tanya Braun:
Taming Reasoning in Temporal Probabilistic Relational Models. 2592-2599 - Dan Halbersberg, Boaz Lerner:
Local to Global Learning of a Latent Dynamic Bayesian Network. 2600-2607 - Stefan Lüdtke, Marcel Gehrke, Tanya Braun, Ralf Möller, Thomas Kirste:
Lifted Marginal Filtering for Asymmetric Models by Clustering-Based Merging. 2608-2615 - Nicolás Madrid, Manuel Ojeda-Aciego:
New Measures of Inclusion Between Fuzzy Sets in Terms of the φ-Index of Inclusion. 2616-2623 - Periklis Mantenoglou, Alexander Artikis, Georgios Paliouras:
Online Probabilistic Interval-Based Event Calculus. 2624-2631 - Kari Rantanen, Antti Hyttinen, Matti Järvisalo:
Learning Chordal Markov Networks via Stochastic Local Search. 2632-2639 - Fabrizio Riguzzi:
Quantum Weighted Model Counting. 2640-2647 - Chunlai Zhou, Biao Qin, Deying Li, Zhiqiang Xu, Xiaoyong Du:
Basic Utility Theory for Belief Functions. 2648-2655 - Umar Asif, Stefan von Cavallar, Jianbin Tang, Stefan Harrer:
SSHFD: Single Shot Human Fall Detection with Occluded Joints Resilience. 2656-2663 - Maurits J. R. Bleeker, Maarten de Rijke:
Bidirectional Scene Text Recognition with a Single Decoder. 2664-2671 - Ming Chen, Hang Ying, Yingjie Qin, Lizhe Qi, Zhongxue Gan, Yunquan Sun:
Adaptive Graph Reasoning Network for Fashion Landmark Detection. 2672-2679 - Daniel Cores, Manuel Mucientes, Víctor M. Brea:
RoI Feature Propagation for Video Object Detection. 2680-2687 - Ángela Casado-García, Jónathan Heras:
Ensemble Methods for Object Detection. 2688-2695 - Jorge García-González, Juan Miguel Ortiz-de-Lazcano-Lobato, Rafael M. Luque-Baena, Ezequiel López-Rubio:
Foreground Detection by Probabilistic Mixture Models Using Semantic Information from Deep Networks. 2696-2703 - Qinghua Gu, Zhengding Luo, Yuesheng Zhu:
A Two-Stream Network with Image-to-Class Deep Metric for Few-Shot Classification. 2704-2711 - Xiaolong Hu, Zhulin An, Chuanguang Yang, Hui Zhu, Kaiqiang Xu, Yongjun Xu:
DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners. 2712-2719 - Junfeng Hu, Zhencheng Fan, Jun Liao, Li Liu:
Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network. 2720-2727 - Corentin Kervadec, Grigory Antipov, Moez Baccouche, Christian Wolf:
Weak Supervision Helps Emergence of Word-Object Alignment and Improves Vision-Language Tasks. 2728-2735 - Jie Liu, Yishun Dou, Wenjie Zhang, Jie Tang, Gangshan Wu:
Belief Map Enhancement Network for Accurate Human Pose Estimation. 2736-2743 - Chenghuan Liu, Du Q. Huynh, Mark Reynolds:
Maximum Entropy Reinforced Single Object Visual Tracking. 2744-2751 - Shuyu Miao, Rui Feng, Yuejie Zhang, Weiguo Fan:
Learning Class-Based Graph Representation for Object Detection. 2752-2759 - Hao Shen, Zhong-Qiu Zhao:
Mid-Weight Image Super-Resolution with Bypass Connection Attention Network. 2760-2767 - Marcel Tiator, Christian Geiger, Paul Grimm:
Point Cloud Segmentation with Deep Reinforcement Learning. 2768-2775 - Yabo Xiao, Dongdong Yu, Xiaojuan Wang, Tianqi Lv, Yiqi Fan, Lingrui Wu:
SPCNet: Spatial Preserve and Content-Aware Network for Human Pose Estimation. 2776-2783 - Weida Yang, Xindong Ai, Zuliu Yang, Yong Xu, Yong Zhao:
Dedge-AGMNet: An Effective Stereo Matching Network Optimized by Depth Edge Auxiliary Task. 2784-2791 - Fang Yu, Li Cui:
Tutor-Instructing Global Pruning for Accelerating Convolutional Neural Networks. 2792-2799 - Zhe Zhang, Junhui Ma, Panpan Xu, Wencheng Wang:
Saliency Detection with Deformable Convolution and Feature Attention. 2800-2807 - Zixun Zhang, Zhen Li, Lin Lin, Na Lei, Guanbin Li, Shuguang Cui:
MetaSelection: Metaheuristic Sub-Structure Selection for Neural Network Pruning Using Evolutionary Algorithm. 2808-2815 - Wenbo Zheng, Lan Yan, Chao Gou, Fei-Yue Wang:
JND-GAN: Human-Vision-Systems Inspired Generative Adversarial Networks for Image-to-Image Translation. 2816-2823 - Min Zhong, Gang Zeng:
Semantic Point Completion Network for 3D Semantic Scene Completion. 2824-2831 - Mingjie Zhou, Michael Ng, Zixin Cai, Ka Chun Cheung:
Self-Attention-Based Fully-Inception Networks for Continuous Sign Language Recognition. 2832-2839 - Jian Zhou, Zhangjin Huang:
Joint 3D Face Reconstruction and Dense Face Alignment via Deep Face Feature Alignment. 2840-2847 - Yan-Jie Zhou, Xiao-Liang Xie, Gui-Bin Bian, Zeng-Guang Hou:
A Lightweight Recurrent Attention Network for Real-Time Guidewire Segmentation and Tracking in Interventional X-Ray Fluoroscopy. 2848-2855 - Zhuojun Chen, Junhao Cheng, Yuchen Yuan, Dongping Liao, Yizhou Li, Jiancheng Lv:
Deep Density-Aware Count Regressor. 2856-2863 - Zhikang Zou, Yifan Liu, Shuangjie Xu, Wei Wei, Shiping Wen, Pan Zhou:
Crowd Counting via Hierarchical Scale Recalibration Network. 2864-2871 - Roberto Amadini, Graeme Gange, Peter Schachte, Harald Søndergaard, Peter J. Stuckey:
String Constraint Solving: Past, Present and Future. 2875-2876 - Youssef Bendraou, Nathan Ramoly, Baba Seydou Bamba:
Toward a Generic AutoML-Based Assistant for Contracts Negotiation. 2877-2878 - Richard Benjamins:
Towards Organizational Guidelines for the Responsible Use of AI. 2879-2880 - Mehul Bhatt, Jakob Suchan:
Cognitive Vision and Perception. 2881-2882 - Dan Birks, Alison J. Heppenstall, Nick Malleson:
Towards the Development of Societal Twins. 2883-2884 - Adi Botea, Akihiro Kishimoto, Radu Marinescu, Elizabeth M. Daly, Oznur Alkan:
The Challenge of Optimal Paths in Graphs with Item Sets. 2885-2886 - Patricia Bouyer, Orna Kupferman, Nicolas Markey, Bastien Maubert, Aniello Murano, Giuseppe Perelli:
Reasoning About Quality and Fuzziness of Strategic Behaviours. 2887-2888 - Loris Bozzato, Luciano Serafini, Thomas Eiter:
Reasoning with Justifiable Exceptions in Contextual Hierarchies. 2889-2890 - Tanya Braun, Ralf Möller:
Lifting Queries for Lifted Inference. 2891-2892 - Eleonora Chiodino, Antonio Lieto, Federico Perrone, Gian Luca Pozzato:
A Goal-Oriented Framework for Knowledge Invention and Creative Problem Solving in Cognitive Architectures. 2893-2894 - Panayiotis Danassis, Boi Faltings:
Efficient Allocations in Constant Time: Towards Scalable Solutions in the Era of Large Scale Intelligent Systems. 2895-2896 - Shahi Dost, Luciano Serafini, Marco Rospocher, Lamberto Ballan, Alessandro Sperduti:
VT-LINKER: Visual-Textual-Knowledge Entity Linker. 2897-2898 - Allegra De Filippo, Michele Lombardi, Michela Milano:
Hybrid Offline/Online Optimization Under Uncertainty. 2899-2900 - Jessica R. Floyd, Pedro Rente Lourenço, Nick W. Ruktanonchai, Andrew J. Tatem, James M. Colborn, Baltazar Candrinho, Nuria Oliver:
Malaria Parasite Mobility in Mozambique Estimated Using Mobile Phone Records. 2901-2902 - David Fuenmayor, Christoph Benzmüller:
Normative Reasoning with Expressive Logic Combinations. 2903-2904 - Bianca Granato, Nicole Y. K. Li-Jessen:
Sensitivity Analysis for Dimensionality Reduction in Agent-Based Modeling. 2905-2906 - Gaurav Jain, Shivang Chopra, Suransh Chopra, Anil Singh Parihar:
TransSketchNet: Attention-Based Sketch Recognition Using Transformers. 2907-2908 - Aneta Koleva:
Review of the Recent Techniques for Learning Commonsense Knowledge Applied to the Winograd Schema Challenge. 2909-2910 - Alfonso Landin, Daniel Valcarce, Javier Parapar, Álvaro Barreiro:
Shallow Neural Models for Top-N Recommendation. 2911-2912 - Yuan-Fang Li, Yong-Bin Kang:
Towards Meta-Reasoning for Ontologies: A Roadmap. 2913-2914 - Fernando Martínez-Plumed, José Hernández-Orallo, Emilia Gómez:
Tracking AI: The Capability Is (Not) Near. 2915-2916 - Tobias Mayer:
Enriching Language Models with Semantics. 2917-2918 - Ole Jakob Mengshoel, Tong Yu, Ming Zeng:
Stochastic Local Search and Machine Learning: From Theory to Applications and Vice Versa. 2919-2920 - Mariela Morveli Espinoza, Juan Carlos Nieves, Cesar Augusto Tacla:
Towards an Imprecise Probability Approach for Abstract Argumentation. 2921-2922 - Marco De Nadai, Bruno Lepri, Nuria Oliver:
Understanding Individual Behaviour: From Virtual to Physical Patterns. 2923-2924 - Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell:
The Refugee Experience Online: Surfacing Positivity Amidst Hate. 2925-2926 - Tiago Pinto, Zita A. Vale:
Contextual Q-Learning. 2927-2928 - Tiago Pinto, Zita A. Vale:
Adaptive Learning in Multiagent Systems for Automated Energy Contacts Negotiation. 2929-2930 - Marco Ragni, Gabriele Kern-Isberner, Christoph Beierle, Kai Sauerwald:
Cognitive Logics - Features, Formalisms, and Challenges. 2931-2932 - Zeynep G. Saribatur:
Abstraction for ASP Planning. 2933-2934 - Mohan Sridharan:
REBA-KRL: Refinement-Based Architecture for Knowledge Representation, Explainable Reasoning and Interactive Learning in Robotics. 2935-2936 - Alexander Steen, Christoph Benzmüller:
The Higher-Order Prover Leo-III. 2937-2938 - Jakob Suchan, Mehul Bhatt, Srikrishna Varadarajan:
Driven by Commonsense. 2939-2940 - Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein:
An Integrated Approach to Moral Autonomous Systems. 2941-2942 - Graham Wilcock, Kristiina Jokinen:
WikiTalk and WikiListen: Towards Listening Robots That Can Join in Conversations with Topically Relevant Contributions. 2943-2944 - Weilai Xu, Fred Charles, Charlie Hargood, Feng Tian, Wen Tang:
Influence of Personality-Based Features for Dialogue Generation in Computational Narratives. 2945-2946 - Andra Anoaica, Ahmed Ben Hassine, Léa A. Deleris:
Equal Pay for Equal Competences: A Statistical Approach to Address Equal Pay Gap. 2949-2955 - Gábor Bella, Liz Elliot, Subhashis Das, Stephen Pavis, Ettore Turra, David Robertson, Fausto Giunchiglia:
Cross-Border Medical Research Using Multi-Layered and Distributed Knowledge. 2956-2963 - Ana Raquel Carmo, Jean-Alexis Delamer, Yoko Watanabe, Rodrigo Ventura, Caroline P. C. Chanel:
Entropy-Based Adaptive Exploit-Explore Coefficient for Monte-Carlo Path Planning. 2964-2971 - Aurélien Delfosse, Georges Hébrail, Aimen Zerroug:
Deep Learning Applied to NILM: Is Data Augmentation Worth for Energy Disaggregation? 2972-2977 - Amjad Ibrahim, Tobias Klesel, Ehsan Zibaei, Severin Kacianka, Alexander Pretschner:
Actual Causality Canvas: A General Framework for Explanation-Based Socio-Technical Constructs. 2978-2985 - Masashi Kitai, Yoshinobu Akamatsu, Ryoji Tani, Hiroki Fujiwara, Masayuki Numao, Ken-ichi Fukui:
Remaining Useful Life Curve Prediction of Rolling Bearings Under Defect Progression Based on Hierarchical Bayesian Regression. 2986-2992 - Nikolaos Lagos, Salah Ait-Mokhtar, Ioan Calapodescu:
Point-Of-Interest Semantic Tag Completion in a Global Crowdsourced Search-and-Discovery Database. 2993-3000 - Bjørn Magnus Mathisen, Kerstin Bach, Espen Meidell, Håkon Måløy, Edvard Schreiner Sjøblom:
FishNet: A Unified Embedding for Salmon Recognition. 3001-3008 - Vito Alexander Nordloh, Anna Roubícková, Nick Brown:
Machine Learning for Gas and Oil Exploration. 3009-3016 - Ralph Samer, Martin Stettinger, Alexander Felfernig, Xavier Franch, Andreas A. Falkner:
Intelligent Recommendation & Decision Technologies for Community-Driven Requirements Engineering. 3017-3025 - Thomas Eiter, Andreas A. Falkner, Patrik Schneider, Peter Schüller:
ASP-Based Signal Plan Adjustments for Traffic Flow Optimization. 3026-3033 - Martin Stettinger, Trang Tran, Ingo Pribik, Gerhard Leitner, Alexander Felfernig, Ralph Samer, Müslüm Atas, Manfred Wundara:
KNOWLEDGECHECKR: Intelligent Techniques for Counteracting Forgetting. 3034-3039
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