Shriphani Palakodety, Ashiqur Khudabukhsh and Jaime Carbonell. Sensitivity analysis for dimensionality reduction in agent-based modeling. Zhikang Zou, Yifan Liu, Shuangjie Xu, Wei Wei, Shiping Wen and Pan Zhou. Exploiting Incomparability in Solution Dominance:Improving General Purpose Constraint-Based Mining. A record number of more than 1,700 submissions was received for ECAI 2020, of which 1,443 were reviewed. Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors. Complexity of Possible and Necessary Existence Problems in Abstract Argumentation. The cover letter should be inserted at the beginning of the s… Negative-Aware Training: Be Aware of Negative Samples. Andrei Ivanov, Anna Golovkina and Uwe Iben. Main Conference; PAIS; STAIRS; Keynote Speakers; Frontiers in AI; Main conference; Workshops; Tutorials; PAIS; Starting researchers / STAIRS. Verification of Neural Networks: Enhancing Scalability through Pruning. MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs. Macro Operator Synthesis for ADL Domains. Roberto Amadini, Graeme Gange, Peter J. Stuckey, Harald Sondergaard and Peter Schachte. Sending the printed volume and ECAI program to … Long papers are allowed eight (8) pages. Point Cloud Segmentation with Deep Reinforcement Learning. You Shouldn’t Trust Me: Learning Models Which Conceal Unfairness From Multiple Explanation Methods. June 1, 2020. A Two-stream Network with Image-to-Class Deep Metric for Few-shot Classification. Click here for the full listing of papers and invited talks to be presented at AAAI-20. Juan Afanador, Nir Oren, Murilo Baptista and Maria Araujo. M-PREF2020 Workshop News Given the global situation on Covid-19, M-PREF 2020 (in conjunction with ECAI 2020) will finally be held as a digital workshop. PROCEEDINGS. Csanád Sándor, Szabolcs Pável and Lehel Csató. 30 May, 2020. Yi Zhang, Jundong Shen, Zhecheng Zhang and Chongjun Wang. Junkun Yuan, Shaofang Zhou, Lanfen Lin, Feng Wang and Jia Cui. Papers submitted to the Special 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. Oleg Zaikin, Alexey Ignatiev and Joao Marques-Silva. Junwei Zhang, Yuexian Hou, Zhao Li, Long Zhang and Xia Chen. The Challenge of Optimal Paths in Graphs with Item Sets. Marco De Nadai, Bruno Lepri and Nuria Oliver. Taiki Todo, Nodoka Okada and Makoto Yokoo. Abdurrahman Can Kurtan, Pinar Yolum and Mehdi Dastani. Thanh Nguyen, Nam Vu, Amulya Yadav and Uy Nguyen. Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation. Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy. Harmonic Recurrent Process for Time Series Forecasting. Group Behavior Recognition Using Attention- and Graph-Based Neural Networks. An ideal team is more than a team of ideal agents. IOS Press has published the ECAI2020 proceedings Open Access in the e-book series “Frontiers in Artificial Intelligence & Applications” (FAIA Vol.325). Hikaru Shindo, Masaaki Nishino, Yasuaki Kobayashi and Akihiro Yamamoto. Maximum Entropy Reinforced Single Object Visual Tracking. Learning a Latent Space of Style-Aware Music Representations by Adversarial Autoencoders. Yujia Gao, Liang Liu, Chi Zhang, Xiao Wang and Huadong Ma. Martin Jedwabny, Madalina Croitoru and Pierre Bisquert. Polynomial Neural Networks and Taylor maps for Dynamical Systems Simulation and Learning. Implementing Dynamic Answer Set Programming over finite traces. Incorporating Semantic Dependencies Extracted from Knowledge Graphs into Joint Inference Template-based Information Extraction. Regularized Cycle Consistent Generative Adversarial Network for Anomaly Detection. Check of camera-ready version of the accepted papers, copyright forms and fees: 5 July, 2020 Sending the printed volume and ECAI program 20 July, 2020 Sending the ECAI data base to IEEE: 20 July, 2020 INSTRUCTIONS FOR AUTHORS The length of a paper should be either 4 or 6 pages*. The Algorithm Engineering group contributes one paper. Feature Importance Estimation with Self-Attention Networks. Public videos are also indicated and available at our Youtube channel. In this case, authors must declare the resubmission by including a cover letter with their submission. Umar Asif, Stefan Voncavallar, Jianbin Tang and Stefan Harrer. Heuristics for Link Prediction in Multiplex Networks. Dual Rejection Sampling for Wasserstein Auto-Encoders. A unified and unsupervised framework for bilingual phrase alignment on specialized comparable corpora. Ege Beyazit, Yi He, Nian-Feng Tzeng and Xindong Wu. Automatic Generation of Typicality Measures for Spatial Language in Grounded Settings. From Public Announcements to Asynchronous Announcements. Performance of human and digital computers on random instances of the 0-1 knapsack problem. Robert Tillman, Vamsi Potluru, Jiahao Chen, Prashant Reddy and Manuela Veloso. Non-linear Cluster Enhancement: Forcing Clusters into a compact shape. Abstract Argumentation with Markov Networks. Learning Variable Ordering Heuristics with Multi-Armed Bandits and Restarts. Maximal Information Propagation with Budgets. A Lightweight Recurrent Attention Network for Real-time Guidewire Segmentation and Tracking in Interventional X-ray Fluoroscopy. Assessing the Memory Ability of Recurrent Neural Networks. Loris Bozzato, Luciano Serafini and Thomas Eiter. 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. Refinement-Based Architecture for Knowledge Representation, Explainable Reasoning, and Interactive Learning on Robots. The cover letter should summarize the main reasons Ali Bakhshi, Aaron Wong and Stephan Chalup. Enhanced foraging in robot swarms using collective Lévy walks. Unsupervised Adversarial Learning of Anomaly Detection in the Wild. Multimodal Transfer Learning-based Approaches for Retinal Vascular Segmentation. Explanations for Ontology-Mediated Query Answering in Description Logics. Understanding individual behaviour: from virtual to physical patterns. Cognitive Vision and Perception: Deep Semantics Integrating AI and Vision for (Declarative) Reasoning about Space, Action, and Motion. Jiachen Tian, Shizhan Chen, Xiaowang Zhang and Zhiyong Feng. Yuntao Du, Zhiwen Tan, Qian Chen, Yi Zhang and Chongjun Wang. Robust Constraint Acquisition by Sequential Analysis. Start Date for Paper Submissions (first call for papers) May 4, 2020. Submitted papers must be formatted according to the camera-ready style for ECAI 2020, and submitted electronically in PDF format through Easychair; Papers are allowed a maximum seven (7) pages, excluded references. Sebastian Hofstätter, Markus Zlabinger and Allan Hanbury. Jeremias Dötterl, Ralf Bruns, Jürgen Dunkel and Sascha Ossowski. Scientific papers cannot exceed (7+1) pages and highlights papers must not exceed two (2) pages. SI-AGAN: Spatial Interpolation with Attentional Generative Adversarial Networks for Environment Monitoring. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. Prioritized Simple Contrapositive Assumption-Based Frameworks. How Much Knowledge is in a Knowledge Base? Ionela G. Mocanu, Vaishak Belle and Brendan Juba. JND-GAN: Human-Vision-Systems Inspired Generative Adversarial Networks for Image-to-Image Translation. Of these, 361 full-papers and 36 highlight papers were accepted (an acceptance rate of 25% for full-papers and 45% for highlight papers). Meta-Embedding as Auxiliary Task Regularization. Delving Deeper into the Decoder for Video Captioning. From mixture of longitudinal and non-gaussian advertising data to Click-Through-Rate prediction. Ye Jiang, Yimin Wang, Xingyi Song and Diana Maynard. References can take up to one page. Powering Hidden Markov Model by Neural Network based Generative Models. Causal query in observational data with hidden variables. You also have the option to opt-out of these cookies. Resilient Distributed Constraint Optimization in Physical Multi-Agent Systems. It provides an international forum for researchers and industry practitioners to share their new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledg… This category only includes cookies that ensures basic functionalities and security features of the website. Dynamic thresholding for learning sparse neural networks. Andre Mendes Da Silva, Julian Togelius and Leandro Dos Santos Coelho. Gregory Palmer, Benjamin Schnieders, Rahul Savani, Karl Tuyls, Joscha-David Fossel and Harry Flore. Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Suong Le and Wray Buntine. Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting. Verifying Strategic Abilities in Multi-agent Systems via First-order Entailment. Save these dates! Branch Location Problems with Maximum Satisfiability. SPCNet: Spatial Preserve and Content-aware Network for Human Pose Estimation. Partial Label Learning via Generative Adversarial Nets. Simplifying Graph Attention Networks with Source-Target Separation. Junshan Wang, Yilun Jin, Guojie Song and Xiaojun Ma, Seyedamirhossein Feghahahti, Christian Shelton, Michael Pazzani and Kevin Tang. Adam Richard-Bollans, Brandon Bennett and Anthony Cohn. Shuyu Miao, Rui Feng, Yuejie Zhang and Weiguo Fan. DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction. Modelling Belief-Revision Functions at Extended Languages. Pedro Cabalar, Martín Diéguez, François Laferriere and Torsten Schaub. Matching Questions and Answers in Dialogues from Online Forums. Benjamin Schelling, Lukas Miklautz and Claudia Plant. Dynamics in Abstract Argumentation Frameworks with Recursive Attack and Support Relations. Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada Topological Bayesian Optimization with Persistence Diagrams. MetaSelection: Metaheuristic Sub-Structure Selection for Neural Network Pruning Using Evolutionary Algorithm. We also use third-party cookies that help us analyze and understand how you use this website. Cheng Zhang, Qiuchi Li, Lingyu Hua and Dawei Song. Accepted Papers. Mid-weight Image Super-Resolution with Bypass Connection Attention Network. Weighted LARS for Quantitative Stream Reasoning. For preparation of papers to be submitted please use the ECAI formatting style available from the ECAI-2020 website. On the Development of Digital Twins of Social Systems. Bidirectional Scene Text Recognition with a Single Decoder. Learning Fairness-aware Relational Structures. We are pleased to announce that IEEE Robotics and Automation Society is offering ICRA attendance at very affordable rates to all attendees. Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems. Minimizing and recovering from the effect of concept drift via feature selection. Analysis of reduced costs filtering for alldifferent and minimum weight alldifferent global constraints. Camera Ready Papers: Aug 20th, 2020, Sept 4th 2020 Workshop: October 4th, 2020. Zhiqiang Zhuang, Kewen Wang, Junhu Wang, Heng Zhang, Zhe Wang and Zhiguo Gong. Rajni Jindal, Maitree Leekha, Minkush Manuja and Mononito Goswami. February 21, 2020: March 8, 2020: EXTENDED: Camera ready papers due (23:59 Pacific Standard Time, GMT-8) February 28, 2020: March 13, 2020 EXTENDED: Early bird registration ends (23:59 Pacific Standard Time, GMT-8) March 31, 2020: Full registration deadline for accepted papers only (23:59 Pacific Standard Time, GMT-8) Afshin Sadeghi, Damien Graux, Hamed Shariat Yazdi and Jens Lehmann. Outside the Box: Abstraction-Based Monitoring of Neural Networks. SETNet: A Novel Semi-Supervised Approach for Semantic Parsing. Li Zhou, Tingyu Wang, Hong Qu, Li Huang and Yuguo Liu. Learning Temporal Action Models via Constraint Programming. Franz Baader, Bartosz Bednarczyk and Sebastian Rudolph. Leveraging Sememes to Learn Sense Representations. An ASP semantics for Constraints involving Conditional Aggregates. Visa Research is offering two scholarships of up to $2500 to cover students’ cost of registration and attendance at AAAI 2020. Of these, 361 full-papers and 36 highlight papers were accepted (an acceptance rate of 25% for full-papers and 45% for highlight papers). Integrating Open-Ended Learning in the Sense-Plan-Act Robot Control Paradigm. TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification. Kalliopi Basioti, George Moustakides and Emmanouil Psarakis. Angelo Oddi, Riccardo Rasconi, Vieri Giuliano Santucci, Gabriele Sartor, Emilio Cartoni, Francesco Mannella and Gianluca Baldassarre. Weida Yang, Xindong Ai, Zuliu Yang, Yong Xu and Yong Zhao. Sixing Wu, Fang Chen, Fangzhao Wu, Yongfeng Huang and Xing Li. Allegra De Filippo, Michele Lombardi and Michela Milano. Fleet Control using Coregionalized Gaussian Process Policy Iteration. Sequencing, Combining and Sampling Classifiers to Help Find Needles in Haystacks. Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia and Andrius Vaicenavičius. Chang Xu, Cecile Paris, Surya Nepal, Ross Sparks, Chong Long and Yafang Wang. Adi Botea, Akihiro Kishimoto, Radu Marinescu, Elizabeth M. Daly and Oznur Alkan. Reasoning with Justifiable Exceptions in Contextual Hierarchies. The IEEE VCIP 2020 Organizing Committee is closely monitoring developments related to the COVID-19 pandemic. Carmen Torres-Blanc, Susana Cubillo and Luis Magdalena. Influence of Personality-based Features for Dialogue Generation in Computational Narratives. Daniel Cores, Manuel Mucientes and Víctor M. Brea. Hybrid Offline/Online Optimization Under Uncertainty. Preprocessing in Incomplete MaxSAT Solving. Yangjun Xu, Liang Chen, Fenfang Xie, Weibo Hu, Jieming Zhu, Chuan Chen and Zibin Zheng. Tatsuya Shiraishi, Tam Le, Hisashi Kashima and Makoto Yamada. Step-wise Explanations of Constraint Satisfaction Problems. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. Learning Joint Job Embeddings with a Job-Oriented Asymmetrical Pairing System. Olivia Choudhury, Aris Gkoulalas-Divanis, Theodoros Salonidis, Issa Sylla, Yoonyoung Park, Grace Hsu and Amar Das. Inequity Aversion Pricing in Multi-Unit Markets. Decoding the Imitation Security Game: Handling Attacker Imitative Behavior Deception. CryptoSPN: Privacy-preserving Sum-Product Network Inference. 24th European Conference on Artificial Intelligence (ECAI 2020) Santiago de Compostela, June 8-12 2020 PRELIMINARY CALL FOR PAPERS The biennial European Conference on Artificial Intelligence (ECAI) is Europe's premier venue for presenting scientific results in AI. Yushan Liu, Markus Geipel, Christoph Tietz and Florian Buettner. These cookies will be stored in your browser only with your consent. Tobias Mayer, Elena Cabrio and Serena Villata. Jose Maria Moyano Murillo, Eva Lucrecia Gibaja Galindo, Krzysztof J. Cios and Sebastian Ventura. Committee Selection with Multimodal Preferences. Verification of Recurrent Neural Networks for Cognitive Tasks via Reachability Analysis. A Multilayered Informative Random Walk for Attributed Social Network Embedding. Announcing VISA Research Scholarships! Black-box Adversarial Attacks Against Deep Learning Based Malware Binaries Detection with GANs. AI Paradigms and AI Safety: Mapping Artefacts and Techniques to Safety Issues. The volume includes the papers accepted for ECAI main conference (full papers and highlights) and the 10th International Conference on Prestigious Applications of Intelligent Systems (PAIS). Antonio Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori and Itsik Pe’Er. Adaptive Experienced Derivative-Free Optimization for Efficient Hyper-Parameter Tuning. But opting out of some of these cookies may have an effect on your browsing experience. Skylar Sible, Rodrigo Iza-Teran, Jochen Garcke, Nikola Aulig and Patricia Wollstadt. Joint Modeling of Local and Global Behavior Dynamics for Session-based Recommendation. Claude Pasquier, Célia Da Costa Pereira and Andrea Tettamanzi, Eric Piette, Dennis J. N. J. Soemers, Matthew Stephenson, Chiara F. Sironi, Mark H. M. Winands and Cameron Browne. 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. A Region Selection Model to Identify Unknown Unknowns in Image Datasets. In this case, authors must declare the resubmission by including a cover letter with their submission. Towards Lossless Binary Convolutional Neural Networks Using Piecewise Approximation. Uniform State Abstraction For Reinforcement Learning. General Supervision via Probabilistic Transformations. Qunbo Wang, Wenjun Wu, Yuxing Qi and Zhimin Xin. Satisfiability and Query Answering in Description Logics with Global and Local Cardinality Constraints. Remmy Zen, Long My, Ryan Tan, Frederic Hebert, Mario Gattobigio, Christian Miniatura, Dario Poletti and Stephane Bressan. Zixun Zhang, Zhen Li, Lin Lin, Na Lei, Guanbin Li and Shuguang Cui, Jakob Sternby, Erik Thormarker and Michael Liljenstam. Ensemble Knowledge Distillation for Learning Improved and Efficient Networks. Learning First-Order Symbolic Representations for Planning from the Structure of the State Space. The Program Committee of the 24th European Conference on Artificial Intelligence (ECAI 2020) invites the submission of papers for the technical program of the Conference. Ziyi Yang, Iman Soltani Bozchalooi and Eric Darve. Zhao Zhang, Zemin Tang, Zheng Zhang, Yang Wang, Jie Qin and Meng Wang. A Formal Modal of Affordances for Flexible Robotic Task Execution. Michele Flammini, Manuel Mauro, Matteo Tonelli and Cosimo Vinci. Papers Accepted at ECAI. CIDetector: Semi-Supervised Method for Multi-Topic Confidential Information Detection. Authors of papers that have been rejected from AAAI 2020, ECAI 2020, AAMAS 2020, ICCV 2020, or ICAPS 2020 are permitted to resubmit substantially improved versions to IJCAI-PRICAI 2020. Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu and Thuc Duy Le. But opting out of some of these cookies may have an effect on your browsing experience. For information about submission please go to the submissions page. ECAI 2020, a unique digital experience From Europe’s premier AI Research venue, ECAI2020 will feature, as usual, a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested in contemporary AI. Xuan Lin, Kaiqi Zhao, Tong Xiao, Zhe Quan, Zhi-Jie Wang and Philip S Yu. Towards Inconsistency Measurement in Business Rule Bases. On the Relation between Claim-augmented Argumentation Frameworks and Collective Attacks. 2020-05-17 News Accepted papers at IJCAI'20. May 11, 2020. Towards Efficient Discrete Integration via Adaptive Quantile Queries. Of these 1443 papers, 1363 were full papers and 80 2-page highlight papers. Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini and Marco Gori. Tutor-Instructing Global Pruning for Accelerating Convolutional Neural Networks via Information Gain. Pablo Lanillos, Jordi Pages and Gordon Cheng. José Morano, Álvaro S. Hervella, Noelia Barreira, Jorge Novo and José Rouco. An exception to this rule applies to manuscripts that were published in arXiv not later than 25 October 2019, i.e., at least a month prior to PAKDD’s submission deadline. We are happy to announce that this year the workshop proceedings will be published in a Special Issue of the Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization journal. Faustine Bousquet, Sophie Lebre and Christian Lavergne. Shaohuai Shi, Zhenheng Tang, Qiang Wang, Kaiyong Zhao and Xiaowen Chu. Check of camera-ready version of the accepted papers, copyright forms and fees: 5 July, 2020. Introducing Knowledge Measures (Preliminary Report). Lifting Majority to Unanimity in Opinion Diffusion. By clicking “Accept”, you consent to the use of ALL the cookies. A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage. Toward Metrics for DifferentiatingOut-of-Distribution Sets. 2020 on Saarland Informatics Campus. Basic Utility Theory for Belief Functions. Theofanis Aravanis, Pavlos Peppas and Mary-Anne Williams. Amanda Berg, Jörgen Ahlberg and Michael Felsberg. Automated Verification of Social Law Robustness for Reactive Agents. Studying lack of information through type-2 fuzzy strong negations. Lulu Xiao, Ruixuan Li, Xiaoye Qu, Jun Wang, Pan Zhou and Yuhua Li. Classification Rules in Relaxed Logical Form. Carolina Scarton, Pranava Madhyastha and Lucia Specia. Vincenzo Auletta, Giuseppe De Nittis, Diodato Ferraioli, Nicola Gatti and Domenico Longo. New randomized strategies for the color coding algorithm. Attention-based Attribute Network Embedding via Adversarial Autoencoder. Weak Supervision helps Emergence of Word-Object Alignment and improves Vision-Language Tasks. A Neural Topical Expansion Framework for Unstructured Persona-oriented Dialogue Generation. Yabin Zhang, Guang Yang, Suyun Zhao, Peng Ni, Hairong Lian, Hong Chen and Cuiping Li. Papers must be in trouble-free, high-resolution PDF format, formatted for US Letter (8.5″ x 11″) paper, using Type 1 or TrueType fonts. Niall Twomey, Michal Kozlowski and Raul Santos-Rodriguez. Neighborhood-based Pooling for Population-level Label Distribution Learning. Post navigation ← Two papers accepted to AISTATS 2020 A paper accepted to CVPR 2020 → Location #201, #301, #304 (Kashima), … Because of the double-blind review process, non-anonymous papers that have been issued as technical reports or similar cannot be considered for PAKDD 2020. EPNE: Evolutionary Pattern Preserving Network Embedding. For information about submission please go to the submissions page. The volume includes the papers accepted for ECAI main conference (full papers and highlights) and the 10th International Conference on Prestigious Applications of Intelligent Systems (PAIS). Learning Conjunctive Information of Signals in Multi-sensor Systems. Improving VAE generations of multimodal data through data-dependent conditional priors. Notification of acceptance for papers submitted to the regular sessions. A Convergent Off-Policy Temporal Difference Algorithm. Deciding When, How and for Whom to Simplify. Reasoning with a Bounded Number of Resources in ATL+. Segmented Tables: an Efficient Modeling Tool for Constraint Reasoning. PushNet: Efficient and Adaptive Neural Message Passing. Complexity of Controlling Nearly Single-Peaked Winners. Driven by Commonsense: On the Role of Human-Centred Visual Explainability for Autonomous Vehicles. Ming Chen, Hang Ying, Yingjie Qin, Lizhe Qi and Yunquan Sun. Eleonora Chiodino, Davide Di Luccio, Antonio Lieto, Alberto Messina, Gian Luca Pozzato and Davide Rubinetti. ECAI 2020 had a record number of submissions with more than 1700 abstract submissions of which 1443 papers were reviewed; this represents a doubling of previous stand-alone ECAI conferences. Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms. On Measuring Inconsistency in Relational Databases with Denial Constraints. Kailun Luo, Yongmei Liu, Yves Lesperance and Ziliang Lin. Learning Chordal Markov Networks via Stochastic Local Search. Parameterized Complexity of Manipulating Sequential Allocation. Daegun Won, Peter Jansen and Jaime Carbonell. Xiaolong Hu, Zhulin An, Chuanguang Yang, Hui Zhu, Kaiqiang Xu and Yongjun Xu. Robot self/other distinction: active inference meets neural networks learning in a mirror. Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang and Jun Zhou. Francesco Morandin, Gianluca Amato, Marco Fantozzi, Rosa Gini, Carlo Metta and Maurizio Parton. On Visual-Textual-Knowledge Entity Linking. Taming Reasoning in Temporal Probabilistic Relational Models.