Fernando Martínez Plumed - Google Scholar Citations

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	All	Since 2014
Citations	169	161
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José Hernández-OralloUniversitat Politecnica de ValenciaVerified email at upv.es
César FerriVRAIN. Universitat Politècnica de ValènciaVerified email at dsic.upv.es
María José RamírezUniversitat Politècnica de ValènciaVerified email at dsic.upv.es
Ute SchmidProfessor for Applied Computer Science/Cognitive Systems, Universitaet BambergVerified email at uni-bamberg.de
David L DoweMonash UniversityVerified email at monash.edu
Adolfo Martínez-UsóUniversity Jaume IVerified email at uji.es
Shahar AvinUniversity of CambridgeVerified email at cam.ac.uk
Bao Sheng LoeUniversity of CambridgeVerified email at cam.ac.uk
Sean Sairseal O HeigeartaighCentre for the Study of Existential Risk, University of CambridgeVerified email at cam.ac.uk
Michael SiebersUniversity of BambergVerified email at uni-bamberg.de
Ricardo Bastos C. PrudencioCentro de Informática - UFPE - BrasilVerified email at cin.ufpe.br
Marco BaroniICREA Professor (Barcelona) and FAIR Research Scientist (Paris)Verified email at fb.com
Jordi BiegerResearcher at Delft University of Technology & Doctoral Student at Reykjavik UniversityVerified email at iiim.is
Katja HofmannMicrosoft ResearchVerified email at microsoft.com
Kristinn R. ThórissonSCS Reykjavik University & IIIMVerified email at iiim.is
Nader ChmaitVictoria University -- Tennis Australia -- Monash UniversityVerified email at vu.edu.au
Claes StrannegårdChalmers University of TechnologyVerified email at chalmers.se
Peter FlachProfessor of Artificial Intelligence, Department of Computer Science, University of BristolVerified email at bristol.ac.uk
Emilia GómezMusic Technology Group, Universitat Pompeu FabraVerified email at upf.edu
Enrique Fernandez-MaciasResearcher in the Joint Research Centre of the European Commission, SevillaVerified email at ec.europa.eu

Fernando Martínez Plumed

Universitat Politècnica de València

Verified email at dsic.upv.es - Homepage

Artificial Intelligence Machine Learning Data Science Inductive Programming IRT


Title	Cited by	Year
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	26	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	22	2016
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	18	2017
Learning with configurable operators and rl-based heuristics F Martínez-Plumed, C Ferri, J Hernández-Orallo, MJ Ramírez-Quintana International Workshop on New Frontiers in Mining Complex Patterns, 1-16, 2012	11	2012
A computational analysis of general intelligence tests for evaluating cognitive development F Martínez-Plumed, C Ferri, J Hernández-Orallo, MJ Ramírez-Quintana Cognitive Systems Research 43, 100-118, 2017	10	2017
Knowledge acquisition with forgetting: an incremental and developmental setting F Martínez-Plumed, C Ferri, J Hernández-Orallo, MJ Ramírez-Quintana Adaptive Behavior 23 (5), 283-299, 2015	7	2015
AI results for the Atari 2600 games: difficulty and discrimination using IRT F Martınez-Plumed, J Hernández-Orallo 2nd International Workshop Evaluating General-Purpose AI (EGPAI 2017), 2017	6	2017
On the definition of a general learning system with user-defined operators F Martınez-Plumed, C Ferri, J Hernández-Orallo, MJ Ramırez-Quintana arXiv preprint arXiv:1311.4235 5, 2013	6	2013
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, 2017	5	2017
A multidisciplinary task-based perspective for evaluating the impact of AI autonomy and generality on the future of work E Fernández-Macías, E Gómez, J Hernández-Orallo, BS Loe, B Martens, ... arXiv preprint arXiv:1807.02416, 2018	4	2018
Accounting for the neglected dimensions of ai progress F Martínez-Plumed, S Avin, M Brundage, A Dafoe, SÓ hÉigeartaigh, ... arXiv preprint arXiv:1806.00610, 2018	4	2018
O hÉigeartaigh S S Bhatnagar, A Alexandrova, S Avin, S Cave, L Cheke, M Crosby, ... Martınez-Plumed F, Price H, Shevlin H, Weller A, Winfield A, Hernández-Orallo J, 2018	4	2018
General-Purpose Inductive Programming for Data Wrangling Automation L Contreras-Ochando, F Martínez-Plumed, C Ferri, J Hernández-Orallo, ... Artificial Intelligence for Data Science 2016 (AI4DataSci) @ NIPS 2016, 2016	4	2016
A knowledge growth and consolidation framework for lifelong machine learning systems F Martınez-Plumed, C Ferri, J Hernández-Orallo, MJ Ramırez-Quintana IEEE 13th International Conference on Machine Learning and Applications …, 2014	4*	2014
Approaches and applications of inductive programming (Dagstuhl seminar 13502) S Gulwani, E Kitzelmann, U Schmid Dagstuhl Reports 3 (12), 2014	4	2014
Newton trees F Martínez-Plumed, V Estruch, C Ferri, J Hernández-Orallo, ... AI 2010: Advances in Artiﬁcial Intelligence: 23rd Australasian Joint …, 2010	4	2010
Domain specific induction for data wrangling automation L Contreras-Ochando, C Ferri, J Hernández-Orallo, F Martınez-Plumed, ... ICML 2017 AutoML Workshop (Demo Track), 2017	3	2017
Ó hÉigeartaigh, S., Vold, K., & Hernández-Orallo, J.(2018). The facets of artificial intelligence: A framework to track the evolution of AI F Martínez-Plumed, BS Loe, P Flach Proceedings of the Twenty-Seventh International Joint Conference on …, 0	3
Philosophy and theory of artificial intelligence 2017 VC Müller Springer, 2018	2	2018
CASP-DM: Context Aware Standard Process for Data Mining F Martínez-Plumed, L Contreras-Ochando, C Ferri, P Flach, ... arXiv preprint arXiv:1709.09003, 2017	2	2017

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