Cikkek nyilvánosan hozzáférhető megbízással - José Hernández-OralloTovábbi információ
Valahol hozzáférhető: 103
CRISP-DM twenty years later: From data mining processes to data science trajectories
F Martínez-Plumed, L Contreras-Ochando, C Ferri, JH Orallo, M Kull, ...
IEEE Transactions on Knowledge and Data Engineering 33 (8), 3048-3061, 2021
Megbízások: Government of Spain
A unified view of performance metrics: Translating threshold choice into expected classification loss
J Hernández-Orallo, P Flach, C Ferri
The Journal of Machine Learning Research 13 (1), 2813-2869, 2012
Megbízások: Government of Spain
Evaluation in artificial intelligence: from task-oriented to ability-oriented measurement
J Hernández-Orallo
Artificial Intelligence Review 48 (3), 397-447, 2017
Megbízások: Government of Spain
Trends in AI inference energy consumption: Beyond the performance-vs-parameter laws of deep learning
R Desislavov, F Martínez-Plumed, J Hernández-Orallo
Sustainable Computing: Informatics and Systems 38, 100857, 2023
Megbízások: US Department of Defense, European Commission, Government of Spain
ROC curves for regression
J Hernández-Orallo
Pattern Recognition 46 (12), 3395-3411, 2013
Megbízások: Government of Spain
Item response theory in AI: Analysing machine learning classifiers at the instance level
F Martínez-Plumed, RBC Prudêncio, A Martínez-Usó, J Hernández-Orallo
Artificial intelligence 271, 18-42, 2019
Megbízások: US Department of Defense, European Commission, Government of Spain
Futures of artificial intelligence through technology readiness levels
F Martínez-Plumed, E Gómez, J Hernández-Orallo
Telematics and Informatics 58, 101525, 2020
Megbízások: Government of Spain
Computer models solving intelligence test problems: Progress and implications
J Hernández-Orallo, F Martínez-Plumed, U Schmid, M Siebers, DL Dowe
Artificial Intelligence 230, 74-107, 2016
Megbízások: Government of Spain
AI Extenders: The Ethical and Societal Implications of Humans Cognitively Extended by AI
J Hernandez-Orallo, K Vold
AAAI/ACM AIES Conference, 2019
Megbízások: Government of Spain
Making sense of item response theory in machine learning
F Martínez-Plumed, R Prudêncio, A Martínez-Usó, J Hernández-Orallo
European Conference on Artificial Intelligence, 2016
Megbízások: Government of Spain
Rethink reporting of evaluation results in AI
R Burnell, W Schellaert, J Burden, TD Ullman, F Martinez-Plumed, ...
Science 380 (6641), 136-138, 2023
Megbízások: US Department of Defense
Mapping Intelligence: Requirements and Possibilities
S Bhatnagar, A Alexandrova, S Avin, S Cave, L Cheke, M Crosby, ...
3rd Conference on "Philosophy and Theory of Artificial Intelligence", 117-135, 2018
Megbízások: US Department of Defense, UK Engineering and Physical Sciences Research …
IQ tests are not for machines, yet
DL Dowe, J Hernández-Orallo
Intelligence 40 (2), 77, 2012
Megbízások: Government of Spain
Automating data science
T De Bie, L De Raedt, J Hernández-Orallo, HH Hoos, P Smyth, ...
Communications of the ACM 65 (3), 76-87, 2022
Megbízások: US National Science Foundation, US National Institutes of Health, US …
Larger and more instructable language models become less reliable
L Zhou, W Schellaert, FM Plumed, YM Daval, C Ferri, JH Orallo
Nature, 61-68, 2024
Megbízások: European Commission
Making sense of sensory input
R Evans, J Hernández-Orallo, J Welbl, P Kohli, M Sergot
Artificial Intelligence 293, 2021
Megbízások: Government of Spain
Comparing humans and AI agents
J Insa-Cabrera, DL Dowe, S Espana-Cubillo, MV Hernández-Lloreda, ...
Artificial General Intelligence: 4th International Conference, AGI 2011 …, 2011
Megbízások: Government of Spain
On the effect of calibration in classifier combination
A Bella, C Ferri, J Hernández-Orallo, MJ Ramírez-Quintana
Applied intelligence 38 (4), 566-585, 2013
Megbízások: Government of Spain
Universal psychometrics: Measuring cognitive abilities in the machine kingdom
J Hernández-Orallo, DL Dowe, MV Hernández-Lloreda
Cognitive Systems Research 27, 50-74, 2014
Megbízások: Government of Spain
ROC curves in cost space
J Hernández-Orallo, P Flach, C Ferri
Machine learning 93, 71-91, 2013
Megbízások: UK Engineering and Physical Sciences Research Council, Government of Spain
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