Ioannis Tsamardinos
Ioannis Tsamardinos
Professor, Computer Science Department, University of Crete
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Citata da
Citata da
The max-min hill-climbing Bayesian network structure learning algorithm
I Tsamardinos, LE Brown, CF Aliferis
Machine learning 65 (1), 31-78, 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
Algorithms for large scale Markov blanket discovery.
I Tsamardinos, CF Aliferis, AR Statnikov, E Statnikov
FLAIRS conference 2, 376-380, 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
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
HITON: a novel Markov Blanket algorithm for optimal variable selection
CF Aliferis, I Tsamardinos, A Statnikov
AMIA annual symposium proceedings 2003, 21, 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
Towards principled feature selection: relevancy, filters and wrappers.
I Tsamardinos, CF Aliferis
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
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
CTP: A new constraint-based formalism for conditional, temporal planning
I Tsamardinos, T Vidal, ME Pollack
Constraints 8 (4), 365-388, 2003
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
Efficient solution techniques for disjunctive temporal reasoning problems
I Tsamardinos, ME Pollack
Artificial Intelligence 151 (1-2), 43-89, 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
Reformulating temporal plans for efficient execution
N Muscettola, P Morris, I Tsamardinos
KR, 444-452, 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
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
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
DNA damage triggers a chronic autoinflammatory response, leading to fat depletion in NER progeria
I Karakasilioti, I Kamileri, G Chatzinikolaou, T Kosteas, E Vergadi, ...
Cell metabolism 18 (3), 403-415, 2013
Fast transformation of temporal plans for efficient execution
I Tsamardinos, N Muscettola, P Morris
AAAI/IAAI, 254-261, 1998
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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