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SALER: A Data Science Solution to Detect and Prevent Corruption in Public Administration.

F. Martínez-Plumed, J. Casamayor, C. Ferri, J. Gómez, и E. Vidal. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML, том 11329 из Lecture Notes in Computer Science, стр. 103-117. Springer, (2018)

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Fernando Hernández Martínez

Fernando Cubells Martinez

Fernando Guzmán Martinez

Vania Martínez

Carlos Martínez

Другие публикации лиц с тем же именем

Newton Trees.F. Martínez-Plumed, V. Estruch, C. Ferri, J. Hernández-Orallo, и M. Ramírez-Quintana. Australasian Conference on Artificial Intelligence, том 6464 из Lecture Notes in Computer Science, стр. 174-183. Springer, (2010)Mapping Intelligence: Requirements and Possibilities.S. Bhatnagar, A. Alexandrova, S. Avin, S. Cave, L. Cheke, M. Crosby, J. Feyereisl, M. Halina, B. Loe, S. hÉigeartaigh и 6 other автор(ы). PT-AI, том 44 из Studies in Applied Philosophy, Epistemology and Rational Ethics, стр. 117-135. Springer, (2017)AI Paradigms and AI Safety: Mapping Artefacts and Techniques to Safety Issues.J. Hernández-Orallo, F. Martínez-Plumed, S. Avin, J. Whittlestone, и S. hÉigeartaigh. ECAI, том 325 из Frontiers in Artificial Intelligence and Applications, стр. 2521-2528. IOS Press, (2020)Project-Based Learning for Scaffolding Data Scientists' Skills.F. Martínez-Plumed, и J. Hernández-Orallo. ICCSE, стр. 758-763. IEEE, (2021)The Facets of Artificial Intelligence: A Framework to Track the Evolution of AI.F. Martínez-Plumed, B. Loe, P. Flach, S. hÉigeartaigh, K. Vold, и J. Hernández-Orallo. IJCAI, стр. 5180-5187. ijcai.org, (2018)Incremental and Developmental Perspectives for General-Purpose Learning Systems.F. Martínez-Plumed. AI Matters, 3 (2): 24-25 (2017)When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty.F. Martínez-Plumed, D. Falcón, C. Aranda, и J. Hernández-Orallo. AAAI, стр. 7719-7727. AAAI Press, (2022)Your Prompt Is My Command: On Assessing the Human-Centred Generality of Multimodal Models (Abstract Reprint).W. Schellaert, F. Martínez-Plumed, K. Vold, J. Burden, P. Casares, B. Loe, R. Reichart, S. hÉigeartaigh, A. Korhonen, и J. Hernández-Orallo. AAAI, стр. 22712. AAAI Press, (2024)Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks (Extended Abstract).S. Tolan, A. Pesole, F. Martínez-Plumed, E. Fernández-Macías, J. Hernández-Orallo, и E. Gómez. IJCAI, стр. 5777-5781. ijcai.org, (2022)Robustness Testing of Machine Learning Families using Instance-Level IRT-Difficulty.R. Fabra-Boluda, C. Ferri, F. Martínez-Plumed, и M. Ramírez-Quintana. EBeM@IJCAI, том 3169 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)

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