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ORCIDInternational Journal of Approximate Reasoning, Volume 171
Volume 171, 2024
- Andrea Campagner
:
Learning from fuzzy labels: Theoretical issues and algorithmic solutions. 108969 - Steven Schockaert:
Embeddings as epistemic states: Limitations on the use of pooling operators for accumulating knowledge. 108981 - Manuel Amoussou, Khaled Belahcène, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane:
Questionable stepwise explanations for a robust additive preference model. 108982 - Sophie Blum, Raoul Koudijs, Ana Ozaki, Samia Touileb:
Learning Horn envelopes via queries from language models. 109026 - Didier Dubois, Henri Prade:
Reasoning and learning in the setting of possibility theory - Overview and perspectives. 109028 - David Ricardo Montalvan Hernandez, Tijn Centen, Thomas Krak, Erik Quaeghebeur, Cassio de Campos:
Beyond tree-shaped credal probabilistic circuits. 109047 - Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti:
Efficient computation of counterfactual bounds. 109111 - Xuanxiang Huang, João Marques-Silva:
On the failings of Shapley values for explainability. 109112 - Eleonora Giunchiglia, Alex Tatomir, Mihaela Catalina Stoian, Thomas Lukasiewicz:
CCN+: A neuro-symbolic framework for deep learning with requirements. 109124 - Mariña Canabal-Juanatey, Jose Maria Alonso-Moral, Alejandro Catalá, Alberto José Bugarín Diz:
Enriching interactive explanations with fuzzy temporal constraint networks. 109128 - Vincent Derkinderen, Robin Manhaeve, Pedro Zuidberg Dos Martires, Luc De Raedt:
Semirings for probabilistic and neuro-symbolic logic programming. 109130 - Thi-Bich-Hanh Dao, Christel Vrain:
A review on declarative approaches for constrained clustering. 109135 - Antoine Cornuéjols:
Reprint of: Some thoughts about transfer learning. What role for the source domain? 109146 - Peter Jung, Giuseppe Marra, Ondrej Kuzelka:
Quantified neural Markov logic networks. 109172 - Andrey Ruschel, Arthur Colombini Gusmão, Fábio Gagliardi Cozman:
Explaining answers generated by knowledge graph embeddings. 109183 - Steven D. Prestwich, Nic Wilson:
A statistical approach to learning constraints. 109184 - Yizuo Chen, Haiying Huang, Adnan Darwiche:
Towards an effective practice of learning from data and knowledge. 109188 - Stefan Heid, Jonas Hanselle, Johannes Fürnkranz, Eyke Hüllermeier:
Learning decision catalogues for situated decision making: The case of scoring systems. 109190 - Myriam Bounhas, Henri Prade:
Revisiting analogical proportions and analogical inference. 109202 - Ismaïl Baaj, Zied Bouraoui, Antoine Cornuéjols, Thierry Denoeux, Sébastien Destercke, Didier Dubois, Marie-Jeanne Lesot, João Marques-Silva, Jérôme Mengin, Henri Prade, Steven Schockaert, Mathieu Serrurier, Olivier Strauss, Christel Vrain:
Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group. 109206 - Sébastien Destercke, Jérôme Mengin, Henri Prade:
Editorial of the special issue "Synergies Between Machine Learning and Reasoning". 109207
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