Learning Prime Implicant Conditions from Interpretation Transition von Ribeiro, Tony, Inoue, Katsumi

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Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Explaining Biases in Machine Learning von Ortega, Alfonso, Fierrez, Julian, Morales, Aythami, Wang, Zilong, de la Cruz, Marina, Alonso, César Luis, Ribeiro, Tony

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Inductive Learning from State Transitions over Continuous Domains von Ribeiro, Tony, Tourret, Sophie, Folschette, Maxime, Magnin, Morgan, Borzacchiello, Domenico, Chinesta, Francisco, Roux, Olivier, Inoue, Katsumi

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Learning from interpretation transition von Inoue, Katsumi, Ribeiro, Tony, Sakama, Chiaki

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A BDD-Based Algorithm for Learning from Interpretation Transition von Ribeiro, Tony, Inoue, Katsumi, Sakama, Chiaki

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Learning any memory-less discrete semantics for dynamical systems represented by logic programs von Ribeiro, Tony, Folschette, Maxime, Magnin, Morgan, Inoue, Katsumi

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Modeling Delayed Dynamics in Biological Regulatory Networks from Time Series Data von Ben Abdallah, Emna, Ribeiro, Tony, Magnin, Morgan, Roux, Olivier, Inoue, Katsumi

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Inference of Delayed Biological Regulatory Networks from Time Series Data von Ben Abdallah, Emna, Ribeiro, Tony, Magnin, Morgan, Roux, Olivier, Inoue, Katsumi

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Model and Algorithm for Dynamic Multi-Objective Distributed Optimization von Clement, Maxime, Okimoto, Tenda, Ribeiro, Tony, Inoue, Katsumi

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Static Analysis and Stochastic Search for Reachability Problem von Chai, Xinwei, Ribeiro, Tony, Magnin, Morgan, Roux, Olivier, Inoue, Katsumi

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Relational Reinforcement Learning for Planning with Exogenous Effects von Martinez, David, Alenya, Guillem, Ribeiro, Tony, Inoue, Katsumi, Torras, Carme

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Development and Interlaboratory Evaluation of an LC-MS/MS Method for the Quantification of Lysozyme in Wine Across Independent Instrument Platforms von Downs, Melanie L, McClure, Beth Anne, Jayasena, Shyamali, Ramachandran, Bini, Krawitzky, Michael, Ribeiro, Tony, Wallace, Julie, Tallman, Steve, Mortola, Bill

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Learning from interpretation transition: Inductive Logic Progamming (ILP 2012) von INOUE, Katsumi, RIBEIRO, Tony, SAKAMA, Chiaki

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A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection von Fourati, Slim, Talla, Aarthi, Mahmoudian, Mehrad, Burkhart, Joshua G., Klén, Riku, Henao, Ricardo, Yu, Thomas, Aydın, Zafer, Yeung, Ka Yee, Ahsen, Mehmet Eren, Almugbel, Reem, Jahandideh, Samad, Liang, Xiao, Nordling, Torbjörn E. M., Shiga, Motoki, Stanescu, Ana, Vogel, Robert, Pandey, Gaurav, Chiu, Christopher, McClain, Micah T., Woods, Christopher W., Ginsburg, Geoffrey S., Elo, Laura L., Tsalik, Ephraim L., Mangravite, Lara M., Sieberts, Solveig K.

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Diagnosis of Event Sequences with LFIT von Ribeiro, Tony, Folschette, Maxime, Magnin, Morgan, Okazaki, Kotaro, Kuo-Yen, Lo, Inoue, Katsumi

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Data-driven Analysis of Domain Specificity for Explainable Session-based Recommendation System von OKAZAKI, Kotaro, RIBEIRO, Tony, LO, Kuo-Yen, SAKUMA, Jyunichi, INOUE, Katsumi

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Combining Answer Set Programs for Adaptive and Reactive Reasoning von Ribeiro, Tony, Inoue, Katsumi, Bourgne, Gauvain

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Learning Dynamics with Synchronous, Asynchronous and General Semantics von Ribeiro, Tony, Folschette, Maxime, Magnin, Morgan, Roux, Olivier, Inoue, Katsumi

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Learning Inference by Induction von Sakama, Chiaki, Ribeiro, Tony, Inoue, Katsumi

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Learning delayed influences of biological systems von Ribeiro, Tony, Magnin, Morgan, Inoue, Katsumi, Sakama, Chiaki

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