Ioannis Tsamardinos

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Vincenzo LaganiAssociate Professor, Ilia State UniversityVerified email at iliauni.edu.ge
Laura E. BrownAssociate Professor of Computer Science, Michigan Technological UniversityVerified email at mtu.edu
Martha E. PollackProvost, Professor of Computer Science and Engineering, Professor of Information, University ofVerified email at umich.edu
Giorgos BorboudakisJADBioVerified email at jadbio.com
Sofia TriantafillouUniversity of Crete, University of PittsburghVerified email at pitt.edu
Jesper TegnérProfessor. Bio, CS, BioE, STAT programs,KAUST, Strategic Professor, KarolinskaVerified email at kaust.edu.sa
Doug HardinProfessor of Mathematics and Biomedical Informatics, Vanderbilt UniversityVerified email at vanderbilt.edu
Michail TsagrisDepartment of Economics, University of CreteVerified email at uoc.gr
Oluf Dimitri RøeMD PhD NTNU, NorwayVerified email at ntnu.no
Ioannis G. TollisProfessor of Computer Science, Univ. of CreteVerified email at csd.uoc.gr
Xenofon KoutsoukosVanderbilt UniversityVerified email at vanderbilt.edu
Nestoras KarathanasisComputational Medicine Center, Thomas Jefferson UniversityVerified email at jefferson.edu
Dirk ColbryDirector of HPC Studies, Computational Mathematics, Science and Engineering, Michigan StateVerified email at msu.edu
Shawn LevyFaculty Investigator, HudsonAlpha Institute for BiotechnologyVerified email at hudsonalpha.org
Panayiota PoiraziResearch Director, IMBB-FORTHVerified email at imbb.forth.gr
Giorgos AthineouComputer Science Department, University of CreteVerified email at csd.uoc.gr
Grigoris AntoniouProfessor, Semantic & Knowledge Technologies, University of HuddersfieldVerified email at hud.ac.uk
John HortyUniversity of MarylandVerified email at umiacs.umd.edu
Lefteris KoumakisInstitute of Computer Science (ICS) Foundation for Research and Technology - Hellas (FORTH)Verified email at ics.forth.gr
Panagiotis TsakalidesProfessor of Computer Science, University of Crete / Head, Signal Processing Lab, FORTH-ICSVerified email at csd.uoc.gr

Ioannis Tsamardinos

Professor, Computer Science Department, University of Crete

Verified email at csd.uoc.gr - Homepage

Machine Learning Data Science Bioinformatics Causal Discovery Artificial Intelligence


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The max-min hill-climbing Bayesian network structure learning algorithm I Tsamardinos, LE Brown, CF Aliferis Machine learning 65 (1), 31-78, 2006	1864	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	988	2005
Algorithms for large scale Markov blanket discovery. I Tsamardinos, CF Aliferis, AR Statnikov, E Statnikov FLAIRS conference 2, 376-380, 2003	613	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	573	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	479	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	396	2003
HITON: a novel Markov Blanket algorithm for optimal variable selection CF Aliferis, I Tsamardinos, A Statnikov AMIA annual symposium proceedings 2003, 21, 2003	388	2003
Towards principled feature selection: Relevancy, filters and wrappers I Tsamardinos, CF Aliferis International Workshop on Artificial Intelligence and Statistics, 300-307, 2003	332	2003
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	201	2005
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	200	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	182	2010
CTP: A new constraint-based formalism for conditional, temporal planning I Tsamardinos, T Vidal, ME Pollack Constraints 8 (4), 365-388, 2003	178	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	161	2010
Efficient solution techniques for disjunctive temporal reasoning problems I Tsamardinos, ME Pollack Artificial Intelligence 151 (1-2), 43-89, 2003	159	2003
Reformulating temporal plans for efficient execution N Muscettola, P Morris, I Tsamardinos In Principles of Knowledge Representation and Reasoning, 1998	150	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	146	2003
MatureBayes: a probabilistic algorithm for identifying the mature miRNA within novel precursors K Gkirtzou, I Tsamardinos, P Tsakalides, P Poirazi PloS one 5 (8), e11843, 2010	125	2010
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	112	2015
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), 1-7, 2017	110	2017
Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation I Tsamardinos, E Greasidou, G Borboudakis Machine learning 107 (12), 1895-1922, 2018	105	2018

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