GCAI 2019: Volume InformationGCAI 2019. Proceedings of the 5th Global Conference on Artificial Intelligence14 articles•175 pages•Published: December 10, 2019 Papers| Magdalena Ortiz 1-14 | | Christian Alrabbaa, Patrick Koopmann and Anni-Yasmin Turhan 15-27 | | Dario Della Monica, Angelo Montanari, Aniello Murano and Guido Sciavicco 28-41 | | Abdullah Khan, Loris Bozzato, Luciano Serafini and Beatrice Lazzerini 42-53 | | Aysu Bogatarkan, Volkan Patoglu and Esra Erdem 54-67 | | Pietro Galliani, Oliver Kutz, Daniele Porello, Guendalina Righetti and Nicolas Troquard 68-80 | | Satyadharma Tirtarasa and Benjamin Zarrieß 81-93 | | Mohamed Ben Ellefi, Pierre Drap, Laurent Garcia, Fabien Garreau, Claire Lefèvre, Odile Papini, Igor Stéphan and Eric Würbel 94-107 | | Guendalina Righetti, Pietro Galliani, Oliver Kutz, Daniele Porello, Claudio Masolo and Nicolas Troquard 108-112 | | Sibylle Möhle and Armin Biere 113-126 | | Ruba Alassaf and Renate A. Schmidt 127-138 | | Levan Uridia and Dirk Walther 139-151 | | Lukas Hahn, Lutz Roese-Koerner, Peet Cremer, Urs Zimmermann, Ori Maoz and Anton Kummert 152-162 | | João Ribeiro, Francisco Melo and João Dias 163-175 |
Keyphrases#SAT, Ackermann's Lemma, active learning, Answer Set Programming3, catastrophic forgetting, chronological backtracking, Classification problems, computer vision, concrete domains, conflict-driven clause learning, Continual Learning, cultural heritage, Data Analytics, declarative problem solving, Description Logic2, Description Logics, Description logics in learning, DL-Lite2, Event Calculus, Event detection in video, first-order logic, forgetting, hierarchical networks, image classification, knowledge base, Knowledge Representation and Reasoning, Kripke completeness, linear models, Logic of Hypotheses, machine learning, modal logic, model checking, model counting, multi-agent path finding, multi-task learning, Ontology, Ontology-Based Query Answering, ontology-mediated queries, propositional calculus, prototype theory, query by example, query rewriting, Reasoning, reasoning about action, Reverse engineering queries, rules, SAT, temporal dataset evaluation, Threshold Operators, Transfer Learning, Two-dimensional Description Logic, ultimately periodic models, weighted description logic. |
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