Lifted Heuristics for Timeline-based Planning. Mining Insights from Large-scale Corpora using Fine-tuned Language Models. The book is divided into three sections: ECAI full papers; ECAI highlight papers; and PAIS papers. A Neural Topical Expansion Framework for Unstructured Persona-oriented Dialogue Generation. All submissions will be subjec… Camera Ready Papers: Aug 20th, 2020, Sept 4th 2020 Workshop: October 4th, 2020. Group Behavior Recognition Using Attention- and Graph-Based Neural Networks. Our paper accepted to Findings of #EMNLP2020 is now available in arXiv! Marcel Gehrke, Ralf Möller and Tanya Braun. Kari Rantanen, Antti Hyttinen and Matti Järvisalo. Towards Efficient Discrete Integration via Adaptive Quantile Queries. Global Propagation of Transition Cost for Fixed Job Scheduling. A unified and unsupervised framework for bilingual phrase alignment on specialized comparable corpora. 15.01.2020. A Conditional Perspective for Iterated Belief Contraction. Auction Description Language (ADL): a General Framework for Representing Auction-based Markets. Topological Bayesian Optimization with Persistence Diagrams. Ali Bakhshi, Aaron Wong and Stephan Chalup. Reasoning with Justifiable Exceptions in Contextual Hierarchies. June 1, 2020. Original papers should be prepared according to the ECAI formatting guidelines, and using the LaTeX Styles or Word template for ECAI 2020. Shaohuai Shi, Zhenheng Tang, Qiang Wang, Kaiyong Zhao and Xiaowen Chu. Notification of paper decisions: July 31st, 2020 August 15th, 2020 Paper Revisions: Aug 10th, 2020 , August 25th, 2020 Camera Ready Papers: Aug 20th, 2020, Sept 4th 2020 Workshop: October 4th, 2020. Juan Afanador, Nir Oren, Murilo Baptista and Maria Araujo. Neural Network Heuristics for Classical Planning: A Study of Hyperparameter Space. Shuyu Miao, Rui Feng, Yuejie Zhang and Weiguo Fan. Directional Adversarial Training for Recommender Systems. Sebastian Hofstätter, Markus Zlabinger and Allan Hanbury. Zebo Liu, Kehan Li, Xu Tan and Jiming Chen. Leveraging Sememes to Learn Sense Representations. Stepan Kochemazov, Oleg Zaikin, Alexander Semenov and Victor Kondratiev. Jiachen Tian, Shizhan Chen, Xiaowang Zhang and Zhiyong Feng. This category only includes cookies that ensures basic functionalities and security features of the website. Patricia Bouyer, Orna Kupferman, Nicolas Markey, Bastien Maubert, Aniello Murano and Giuseppe Perelli. Metric Learning for Ordered Labeled Trees with pq-grams. Semantic Point Completion Network for 3D Semantic Scene Completion. Chenghuan Liu, Du Huynh and Mark Reynolds. Online Probabilistic Interval-based Event Calculus. Parham Shams, Aurélie Beynier, Sylvain Bouveret and Nicolas Maudet. Delving Deeper into the Decoder for Video Captioning. A Multi-Task Learning Neural Network for Emotion-Cause Pair Extraction. Jose Hernandez-Orallo, Fernando Martínez-Plumed, Shahar Avin, Jess Whittlestone and Sean O Heigeartaigh. Two papers accepted at ECAI and EvoCOP Europe’s premier AI Research venue, the European Conference on Artificial Intelligence (ECAI), holds its 24 th edition in June in Santiago de Compostela, Spain. STAIRS 2020; Doctoral Consortium; Meeting with an EurAI fellow; Job Fair; Lab to Market; Women in AI; EU Challenges; Social Development of AI; CALLS. ST-MFM: A Spatiotemporal Multi-modal Fusion Model for Urban Anomalies Prediction. Weida Yang, Xindong Ai, Zuliu Yang, Yong Xu and Yong Zhao. SI-AGAN: Spatial Interpolation with Attentional Generative Adversarial Networks for Environment Monitoring. Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion. Hisao Ishibuchi, Lie Meng Pang and Ke Shang. Driven by Commonsense: On the Role of Human-Centred Visual Explainability for Autonomous Vehicles. CLAIRE: Future of European Excellence in AI, Frontiers in Artificial Intelligence & Applications. Preferences over rankings and how to control them using rewards. DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction. Meta-Embedding as Auxiliary Task Regularization. Refinement of Unsupervised Cross-Lingual Word Embeddings. Weilai Xu, Fred Charles, Charlie Hargood, Feng Tian and Wen Tang. References can take up to one page. Tharindu Cyril Weerasooriya, Christopher M. Homan and Tong Liu. The cover letter should summarize the main reasons Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada Topological Bayesian Optimization with Persistence Diagrams. Online Learning to Accelerate Neural Network Inference with Traveling Classifiers. Exploiting Incomparability in Solution Dominance:Improving General Purpose Constraint-Based Mining. Francisco Javier Gil Gala, Carlos Mencía Cascallana, María Sierra Sánchez and Ramiro Varela Arias. Stefan Lüdtke, Marcel Gehrke, Tanya Braun, Ralf Möller and Thomas Kirste. Hints for papers conversion are in document (.PDF) A paper will not be published in the Conference Proceedings if the conference fee is not paid by June 16, 2020. Lucas Morillo-Méndez and Oscar Martinez Mozos received an acceptance notification from the STAIRS section of ECAI 2020. Ziyi Yang, Iman Soltani Bozchalooi and Eric Darve. STAIRS paper accepted at ECAI 2020 26 Aug 2020. Guillaume Claus, Hadrien Cambazard and Vincent Jost. Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network. Of these, 361 full-papers and 36 highlight papers were accepted (an acceptance rate of 25% for full-papers and 45% for highlight papers). The Impact of Linguistic Knowledge in Different Strategies to Learn Cross-Lingual Distributional Models. Papers submitted to the main track must be formatted according to IJCAI-PRICAI 2020 guidelines (link above) and must be no longer than seven pages in total: six pages for the body of the paper (including all figures), plus up to one additional page with references that do not fit within the six body pages. Temporal Web Service QoS Prediction via Kalman Filter-Incorporated Latent Factor Analysis. Jessica Floyd, Pedro Rente Lourenco, Nick Ruktanonchai, Andrew Tatem and Nuria Oliver. Maximal Correlation: An Alternative Criterion for Training Generative Networks. Highlight papers, which are two pages abstracts (including references) that highlight your favorite recent technical work (possibly appeared elsewhere), position, or open problems with clear and concise formulations of current challenges. Dedge-AGMNet:an effective stereo matching network optimized by depth edge auxiliary task. Partial Label Learning via Generative Adversarial Nets. Adaptive Local Neighbors for Transfer Discriminative Feature Learning. Extended Markov Games to Learn Multiple Tasks in Multi-Agent Reinforcement Learning. Gaurav Jain, Shivang Chopra, Suransh Chopra and Anil Singh Parihar. Kai Sauerwald, Gabriele Kern-Isberner and Christoph Beierle. Reasoning about Quality and Fuzziness of Strategic Behaviours. This category only includes cookies that ensures basic functionalities and security features of the website. Tutor-Instructing Global Pruning for Accelerating Convolutional Neural Networks via Information Gain. Automated Verification of Social Law Robustness for Reactive Agents. Multi-Stage Transfer Learning with an Application to Selection Process. Oier Lopez de Lacalle, Ander Salaberria, Aitor Soroa, Gorka Azkune and Eneko Agirre. Alfonso Landin, Daniel Valcarce, Javier Parapar and Alvaro Barreiro. The cover letter should be inserted at the beginning of the s… Algorithm Control: Foundation of a New Meta-Algorithmic Framework. Analysing Irresolute Multiwinner Voting Rules with Approval Ballots via SAT Solving. Haomin Shi, Yao Zhang, Zilin Si, Letong Wang and Dengji Zhao.

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