Ioannis Tsamardinos

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Vincenzo LaganiResearch Scientist, King Abdullah University of Science and TechnologyVerifierad e-postadress på kaust.edu.sa
Laura E. BrownAssociate Professor of Computer Science, Michigan Technological UniversityVerifierad e-postadress på mtu.edu
Giorgos BorboudakisJADBioVerifierad e-postadress på jadbio.com
Martha E. PollackProvost, Professor of Computer Science and Engineering, Professor of Information, University ofVerifierad e-postadress på umich.edu
Sofia TriantafillouUniversity of Crete, University of PittsburghVerifierad e-postadress på pitt.edu
Jesper TegnérProfessor. Bio, CS, BioE, STAT,KAUST, Strategic Chaired Professor, Karolinska InstitutetVerifierad e-postadress på kaust.edu.sa
Doug HardinProfessor of Mathematics and Biomedical Informatics, Vanderbilt UniversityVerifierad e-postadress på vanderbilt.edu
Oluf Dimitri RøeMD PhD NTNU, NorwayVerifierad e-postadress på ntnu.no
Michail TsagrisDepartment of Economics, University of CreteVerifierad e-postadress på uoc.gr
Ioannis G. TollisProfessor of Computer Science, Univ. of CreteVerifierad e-postadress på csd.uoc.gr
Nestoras KarathanasisPostdoctoral researcher, The Cyprus Institute of Neurology and GeneticsVerifierad e-postadress på cing.ac.cy
Xenofon KoutsoukosVanderbilt UniversityVerifierad e-postadress på vanderbilt.edu
Dirk ColbryFaculty, Computational Mathematics, Science and Engineering, Michigan StateVerifierad e-postadress på msu.edu
Panayiota PoiraziResearch Director, IMBB-FORTHVerifierad e-postadress på imbb.forth.gr
Shawn LevyFaculty Investigator, HudsonAlpha Institute for BiotechnologyVerifierad e-postadress på hudsonalpha.org
Giorgos AthineouComputer Science Department, University of CreteVerifierad e-postadress på csd.uoc.gr
Grigoris AntoniouProfessor of Artificial Intelligence, University of Huddersfield & L3S Research CenterVerifierad e-postadress på hud.ac.uk
John HortyUniversity of MarylandVerifierad e-postadress på umiacs.umd.edu
Lefteris KoumakisInstitute of Computer Science (ICS) Foundation for Research and Technology - Hellas (FORTH)Verifierad e-postadress på ics.forth.gr
Panagiotis TsakalidesProfessor of Computer Science, University of Crete / Head, Signal Processing Lab, FORTH-ICSVerifierad e-postadress på csd.uoc.gr

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Ioannis Tsamardinos

Professor, Computer Science Department, University of Crete

Verifierad e-postadress på csd.uoc.gr - Startsida

Machine Learning Data Science Bioinformatics Causal Discovery Artificial Intelligence


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
The max-min hill-climbing Bayesian network structure learning algorithm I Tsamardinos, LE Brown, CF Aliferis Machine learning 65, 31-78, 2006	2168	2006
A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis A Statnikov, CF Aliferis, I Tsamardinos, D Hardin, S Levy Bioinformatics 21 (5), 631-643, 2005	1032	2005
Algorithms for large scale Markov blanket discovery. I Tsamardinos, CF Aliferis, AR Statnikov, E Statnikov FLAIRS conference 2, 376-380, 2003	690	2003
Local causal and Markov blanket induction for causal discovery and feature selection for classification part I: algorithms and empirical evaluation. CF Aliferis, A Statnikov, I Tsamardinos, S Mani, XD Koutsoukos Journal of Machine Learning Research 11 (1), 2010	639	2010
Autominder: An intelligent cognitive orthotic system for people with memory impairment ME Pollack, L Brown, D Colbry, CE McCarthy, C Orosz, B Peintner, ... Robotics and autonomous systems 44 (3-4), 273-282, 2003	492	2003
Time and sample efficient discovery of Markov blankets and direct causal relations I Tsamardinos, CF Aliferis, A Statnikov Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	442	2003
HITON: a novel Markov Blanket algorithm for optimal variable selection CF Aliferis, I Tsamardinos, A Statnikov AMIA annual symposium proceedings 2003, 21, 2003	428	2003
Towards principled feature selection: Relevancy, filters and wrappers I Tsamardinos, CF Aliferis International Workshop on Artificial Intelligence and Statistics, 300-307, 2003	364	2003
GEMS: a system for automated cancer diagnosis and biomarker discovery from microarray gene expression data A Statnikov, I Tsamardinos, Y Dosbayev, CF Aliferis International journal of medical informatics 74 (7-8), 491-503, 2005	218	2005
Text categorization models for high-quality article retrieval in internal medicine Y Aphinyanaphongs, I Tsamardinos, A Statnikov, D Hardin, CF Aliferis Journal of the American Medical Informatics Association 12 (2), 207-216, 2005	207	2005
Local causal and Markov blanket induction for causal discovery and feature selection for classification part II: analysis and extensions. CF Aliferis, A Statnikov, I Tsamardinos, S Mani, XD Koutsoukos Journal of Machine Learning Research 11 (1), 2010	206	2010
CTP: A new constraint-based formalism for conditional, temporal planning I Tsamardinos, T Vidal, ME Pollack Constraints 8, 365-388, 2003	192	2003
A vision and strategy for the virtual physiological human in 2010 and beyond P Hunter, PV Coveney, B De Bono, V Diaz, J Fenner, AF Frangi, P Harris, ... Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2010	173	2010
Applications of machine learning in human microbiome studies: a review on feature selection, biomarker identification, disease prediction and treatment LJ Marcos-Zambrano, K Karaduzovic-Hadziabdic, T Loncar Turukalo, ... Frontiers in microbiology 12, 313, 2021	166	2021
Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation I Tsamardinos, E Greasidou, G Borboudakis Machine learning 107, 1895-1922, 2018	163	2018
Efficient solution techniques for disjunctive temporal reasoning problems I Tsamardinos, ME Pollack Artificial Intelligence 151 (1-2), 43-89, 2003	160	2003
Reformulating temporal plans for efficient execution N Muscettola, P Morris, I Tsamardinos KR, 444-452, 1998	156	1998
Causal explorer: A causal probabilistic network learning toolkit for biomedical discovery CF Aliferis, I Tsamardinos, A Statnikov, LE Brown International Conference on Mathematics and Engineering Techniques in …, 2003	150	2003
Chemically intuited, large-scale screening of MOFs by machine learning techniques G Borboudakis, T Stergiannakos, M Frysali, E Klontzas, I Tsamardinos, ... npj Computational Materials 3 (1), 40, 2017	149	2017
Constraint-based causal discovery from multiple interventions over overlapping variable sets S Triantafillou, I Tsamardinos The Journal of Machine Learning Research 16 (1), 2147-2205, 2015	139	2015

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