Fernando Martínez-Plumed

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José Hernández-OralloVRAIN (UPV), ValGRAI, CFI, CSER.Patvirtintas el. paštas upv.es
Cèsar FerriVRAIN (UPV), ValGRAIPatvirtintas el. paštas dsic.upv.es
María José RamírezUniversitat Politècnica de ValènciaPatvirtintas el. paštas dsic.upv.es
Emilia GómezJoint Research Centre, European Commission and Music Technology Group, Universitat Pompeu FabraPatvirtintas el. paštas upf.edu
Peter FlachProfessor of Artificial Intelligence, Department of Computer Science, University of BristolPatvirtintas el. paštas bristol.ac.uk
Sean S O hEigeartaighCentre for the Study of Existential Risk, University of CambridgePatvirtintas el. paštas cam.ac.uk
Bao Sheng LoeUniversity of CambridgePatvirtintas el. paštas cam.ac.uk
Enrique Fernandez-MaciasResearcher in the Joint Research Centre of the European Commission, SevillaPatvirtintas el. paštas ec.europa.eu
Wout SchellaertUniversitat Politècnica de ValènciaPatvirtintas el. paštas vrain.upv.es
Shahar AvinUniversity of CambridgePatvirtintas el. paštas cam.ac.uk
Meelis KullAssociate Professor, University of TartuPatvirtintas el. paštas ut.ee
Nicolas LachicheProfessor in Computer Science, University of StrasbourgPatvirtintas el. paštas unistra.fr
Lucy ChekeAssociate Professor, Department of Psychology, CambridgePatvirtintas el. paštas cam.ac.uk
Ute SchmidProfessor of Cognitive Systems, University of BambergPatvirtintas el. paštas uni-bamberg.de
Adolfo Martínez-UsóPhotonicSENSPatvirtintas el. paštas uji.es
David L DoweMonash UniversityPatvirtintas el. paštas monash.edu
Ricardo Bastos C. PrudencioCentro de Informática - UFPE - BrasilPatvirtintas el. paštas cin.ufpe.br
Karina VoldAssistant Professor, Institute for the History and Philosophy of Science and Technology, UniversityPatvirtintas el. paštas utoronto.ca
Marco BaroniICREA Professor (Barcelona)Patvirtintas el. paštas upf.edu
Katja HofmannMicrosoft ResearchPatvirtintas el. paštas microsoft.com

Stebėti

Fernando Martínez-Plumed

VRAIN, Valencian Research Institute for Artificial Intelligence, Universitat Politecnica de Valencia

Patvirtintas el. paštas dsic.upv.es - Pagrindinis puslapis

Artificial Intelligence Machine Learning AI evaluation Item Response Theory


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022	1019	2022
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	529	2021
Defining Artificial Intelligence. Towards an operational definition and taxonomy of artificial intelligence S Samoili, M López Cobo, E Gómez, G De Prato, F Martínez-Plumed, ... Publications Office of the European Union, Luxembourg, 2020	177*	2020
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	118	2019
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	114	2023
Futures of artificial intelligence through technology readiness levels F Martínez-Plumed, E Gómez, J Hernández-Orallo Telematics and Informatics 58, 2021	106	2021
Measuring the occupational impact of AI: tasks, cognitive abilities and AI benchmarks S Tolan, A Pesole, F Martínez-Plumed, E Fernández-Macías, ... Journal of Artificial Intelligence Research 71, 191-236, 2021	104	2021
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	104	2016
Making Sense of Item Response Theory in Machine Learning F Martínez-Plumed, RBC Prudêncio, A Martínez-Usó, J Hernández-Orallo 22nd European Conference on Artificial Intelligence (ECAI 2016) 285, 1140 - 1148, 2016	99	2016
Compute and energy consumption trends in deep learning inference R Desislavov, F Martínez-Plumed, J Hernández-Orallo arXiv preprint arXiv:2109.05472, 2021	93	2021
AI WATCH. defining artificial intelligence S Samoili, C LOPEZ, GE GOMEZ, PG DE, F Martinez-Plumed, ...	90	2020
Missing the missing values: The ugly duckling of fairness in machine learning F Martínez‐Plumed, C Ferri, D Nieves, J Hernández‐Orallo International Journal of Intelligent Systems 36 (7), 3217-3258, 2021	88*	2021
A New AI Evaluation Cosmos: Ready to Play the Game? J Hernández-Orallo, M Baroni, J Bieger, N Chmait, DL Dowe, K Hofmann, ... AI Magazine, 2017	78	2017
Rethink reporting of evaluation results in AI R Burnell, W Schellaert, J Burden, TD Ullman, F Martinez-Plumed, ... Science 380 (6641), 136-138, 2023	77*	2023
AI watch S Samoili, ML Cobo, B Delipetrev, F Martinez-Plumed, E Gomez, ... Defining Artificial Intelligence 2, 2020	69	2020
Mapping intelligence: Requirements and possibilities S Bhatnagar, A Alexandrova, S Avin, S Cave, L Cheke, M Crosby, ... Philosophy and theory of artificial intelligence 2017, 117-135, 2018	64*	2018
Dual Indicators to Analyse AI Benchmarks: Difficulty, Discrimination, Ability and Generality F Martınez-Plumed, J Hernández-Orallo IEEE Transactions on Games 12 (2), 121-131, 2020	45*	2020
The Facets of Artificial Intelligence: A Framework to Track the Evolution of AI F Martınez-Plumed, BS Loe, P Flach, S O hEigeartaigh, K Vold, ... 27th International Joint Conference on Artificial Intelligence (IJCAI 2018 …, 2018	41*	2018
Can language models automate data wrangling? G Jaimovitch-López, C Ferri, J Hernández-Orallo, F Martínez-Plumed, ... Machine Learning 112 (6), 2053-2082, 2023	37	2023
Research community dynamics behind popular AI benchmarks F Martínez-Plumed, P Barredo, SO Heigeartaigh, J Hernandez-Orallo Nature Machine Intelligence 3 (7), 581-589, 2021	35*	2021

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