Michail Tsagris, Vincenzo Lagani, Ioannis Tsamardinos (2018) Feature selection for high-dimensional temporal data, BMC Bioinformatics 19(1), p. 17, BioMed Central, url, doi:10.1186/s12859-018-2023-7

Michail Tsagris, Giorgos Borboudakis, Vincenzo Lagani, Ioannis Tsamardinos (2018) Constraint-based causal discovery with mixed data, International Journal of Data Science and Analytics, url, doi:10.1007/s41060-018-0097-y

Kleanthi Lakiotaki, Nikolaos Vorniotakis, Michail Tsagris, Georgios Georgakopoulos, Ioannis Tsamardinos (2018) BioDataome: a collection of uniformly preprocessed and automatically annotated datasets for data-driven biology, Database 2018(bay011), Oxford University Press, doi:10.1093/database/bay011


Vincenzo Lagani, Giorgos Athineou, Alessio Farcomeni, Michail Tsagris, Ioannis Tsamardinos (2017) Feature Selection with the R Package MXM: Discovering Multiple, Statistically-Equivalent, Predictive Feature Subsets, Journal of Statistical Software 80(7)

Kyros Siomos, E Papadaki, Ioannis Tsamardinos, K Kerkentzes, M Koygioylis, CM Trakatelli (2017) Prothrombotic and Endothelial Inflammatory Markers in Greek Patients with Type 2 Diabetes Compared to Non-Diabetics, Endocrinology & Metabolic Syndrome 6(1), doi:10.4172/2161-1017.1000259

Georgios Papoutsoglou, Giorgos Athineou, Vincenzo Lagani, Iordanis Xanthopoulos, Angelika Schmidt, Szabolcs Éliás, Jesper Tegnér, Ioannis Tsamardinos (2017) SCENERY: a web application for (causal) network reconstruction from cytometry data, Nucleic Acids Research 37, p. D412-D416, url, doi:10.1093/nar/gkx448

Georgia Orfanoudaki, Maria Markaki, Katerina Chatzi, Ioannis Tsamardinos, Anastassios Economou (2017) MatureP: prediction of secreted proteins with exclusive information from their mature regions, Scientific Reports 7(1), p. 3263, Nature Publishing Group

Sofia Triantafillou, Vincenzo Lagani, Christina Heinze-Deml, Angelika Schmidt, Jesper Tegner, Ioannis Tsamardinos (2017) Predicting Causal Relationships from Biological Data: Applying Automated Casual Discovery on Mass Cytometry Data of Human Immune Cells, Triantafillou S, Lagani V, Heinze-Deml C, Schmidt A, Tegner J, Tsamardinos I. Predicting Causal Relationships from Biological Data: Applying Automated Causal Discovery on Mass Cytometry Data of Human Immune Cells. Scientific Reports. 2017;7:12724. doi:10. 7, p. 12724, doi:10.1101/122572

Konstantinos Tsirlis, Vincenzo Lagani, Sofia Triantafillou, Ioannis Tsamardinos (2017) On Scoring Maximal Ancestral Graphs with the Max-Min Hill Climbing Algorithm, 23d ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2017)

Michail Tsagris, Giorgos Borboudakis, Vincenzo Lagani, Ioannis Tsamardinos (2017) Constraint-based Causal Discovery with Mixed Data, 23d ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2017)

Ioannis Tsamardinos, Elissavet Greasidou, Michalis Tsagris, Giorgos Borboudakis (2017) Bootstrapping the Out-of-sample Predictions for Efficient and Accurate Cross-Validation


Vincenzo Lagani, Sofia Triantafillou, Gordon Ball, Jesper Tegner, Ioannis Tsamardinos (2016) Probabilistic computational causal discovery for systems biology, Uncertainty in Biology 17, p. 33-73, url

G. Athineou, G. Papoutsoglou, S. Triantafullou, I Basdekis, V. Lagani, I. Tsamardinos (2016) SCENERY: a Web-Based Application for Network Reconstruction and Visualization of Cytometry Data., Accepted for publication on the 10th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2016).

D Oluf Roe, Maria Markaki, Robin Mjelle, Pål Sætrom, Ioannis Tsamardinos, Vincenzo Lagani (2016) Serum microRNAs/enriched pathways in lung cancer 1-4 years before diagnosis: A pilot study from the HUNT Biobank, Norway., 2016 ASCO Annual Meeting, url

Vincenzo Lagani, Argyro D. Karozou, David Gomez-Cabrero, Gilad Silberberg, Ioannis Tsamardinos (2016) A comparative evaluation of data-merging and meta-analysis methods for reconstructing gene-gene interactions, BMC Bioinformatics 17(S5), p. 194, BioMed Central Ltd, url, doi:10.1186/s12859-016-1038-1

Giorgos Borboudakis, Ioannis Tsamardinos (2016) Towards Robust and Versatile Causal Discovery forBusiness Applications, Accepted at the 22nd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016)

Jermaine Goveia, Andreas Pircher, Lena-Christin Conradi, Joanna Kalucka, Vincenzo Lagani, Mieke Dewerchin, Guy Eelen, Ralph J DeBerardinis, Ian D Wilson, Peter Carmeliet (2016) Meta-analysis of clinical metabolic profiling studies in cancer: challenges and opportunities, EMBO Molecular Medicine, doi:10.15252/EMMM.201606798

Ana I Robles, Karina Standahl Olsen, Dana WT Tsui, Vassilis Georgoulias, Jenette Creaney, Katalin Dobra, Mogens Vyberg, Nagahiro Minato, Robert A Anders, Anne‑Lise Børresen‑Dale, Jianwei Zhou, Pål Saetrom, Boye Schnack Nielsen, Michaela B Kirschner, Hans E Krokan, Vassiliki Papadimitrakopoulou, Ioannis Tsamardinos, Oluf D Røe (2016) Excerpts from the 1st international NTNU symposium on current and future clinical biomarkers of cancer: innovation and implementation, June 16th and 17th 2016, Trondheim, Norway, Journal of Translational Medicine 14, doi:10.1186/s12967-016-1059-6

N Karathanasis, I Tsamardinos, V Lagani (2016) omicsNPC: applying the NonParametric Combination methodology to the integrative analysis of heterogeneous omics data, PloS one, p. e0165545, doi:10.1371/journal.pone.0165545

Anna Roumpelaki, Giorgos Borboudakis, Sofia Triantafillou, Ioannis Tsamardinos (2016) Marginal causal consistency in constraint-based causal learning, Uncertainty in Artificial Intelligence (UAI)

Sofia Triantafillou, Ioannis Tsamardinos (2016) Score based vs constraint based causal learning in the presence of confounders, Uncertainty in Artificial Intelligence (UAI)

Paulos Charonyktakis, Maria Plakia, Ioannis Tsamardinos, Maria Papadopouli (2016) On user-centric modular QoE prediction for voip based on machine-learning algorithms, IEEE Transactions on Mobile Computing, doi:10.1109/TMC.2015.2461216


Anastasios Alexandridis, Giorgos Borboudakis, Athanasios Mouchtaris (2015) Addressing the data-association problem for multiple sound source localization using DOA data estimates, 23rd European Signal Processing Conference (EUSIPCO), p. 1551 - 1555

Ioannis Tsamardinos, Amin Rakhshani, Vincenzo Lagani (2015) Performance-estimation properties of cross-validation based protocols with simultaneous hyper-parameter optimization, International Journal on Artificial Intelligence Tools 8445, p. 1-14

Ioannis Tsamardinos, Michail Tsagris, Vincenzo Lagani (2015) Feature selection for longitudinal data, Proceedings of the 10th conference of the Hellenic Society for Computational Biology & Bioinformatics (HSCBB15) 6(1), p. 10-11

G Borboudakis, I Tsamardinos (2015) Bayesian network learning with discrete case-control data, Uncertainty in Artificial Intelligence (UAI), pdf

Vincenzo Lagani, Franco Chiarugi, Shona Thomson, Jo Fursse, Edin Lakasing, Russell W. Jones, Ioannis Tsamardinos (2015) Development and validation of risk assessment models for diabetes-related complications based on the DCCT/EDIC data, Journal of Diabetes and its Complications 2015. 29(4), p. 479-487, url

N Karathanasis, I Tsamardinos, P Poirazi (2015) MiRduplexSVM: A high-Performing miRNA-duplex prediction and evaluation methodology, PloS one 10(5), url

Vincenzo Lagani, Franco Chiarugi, Dimitris Manousos, Vivek Verma, Joanna Fursse, Marias Kostas, Ioannis Tsamardinos (2015) Realization of a service for the long-term risk assessment of diabetes-related complications, Journal of Diabetes and its Complications 29(5), p. 691-698, url


Sofia Triantafillou, Ioannis Tsamardinos (2014) Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets, Journal of Machine Learning Research 16, p. 1-47, url

Christina Papagiannopoulou, Grigorios Tsoumakas, Ioannis Tsamardinos (2014) Discovering and Exploiting Entailment Relationships in Multi-Label Learning, ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2015 (KDD), url

Grace T. Huang, Ioannis Tsamardinos, Vineet Raghu, Naftali Kaminski, Panayiotis V. Benos (2014) T-ReCS: stable selection of dynamically formed groups of features with application to prediction of clinical outcomes., Pacific Symposium on Biocomputing (PSB), p. 431-442, url

S Triantafilou, I Tsamardinos, A Roumpelaki (2014) Learning Neighborhoods of High Confidence in Constraint-Based Causal Discovery., Springer 2014 8754, p. 487-502, url

K Kerkentzes, V Lagani, I Tsamardinos, M Vyberg, OD Røe (2014) Hidden treasures in “ancient” microarrays: gene-expression portrays biology and potential resistance pathways of major lung cancer subtypes and normal, Frontiers 2014 4(251), url

I Tsamardinos, A Rakhshani, V Lagani (2014) Performance-estimation properties of cross-validation-based protocols with simultaneous hyper-parameter optimization, 8th Hellenic Conference on Artificial Intelligence (SETN 2014). 8445, p. 1-14, url

N Karathanasis, I Tsamardinos, P Poirazi (2014) Don't use a cannon to kill the miRNA mosquito, Bioinformatics 30(7), p. 1047-1048, url


I Karakasilioti, I Kamileri, G. Chatzinikolaou, T. Kosteas, E. Vergadi, A. R. Robinson, I. Tsamardinos, T. A. Rozgaja, S. Siakouli, C. Tsatsanis, L. J. Niedernhofer, G. A. Garinis (2013) DNA damage triggers a chronic autoinflammatory response, leading to fat depletion in NER progeria, Cell Metabolism 18(3), p. 403-415, url

N. Karathanasis, I. Tsamardinos, P Poirazi (2013) A bioinformatics approach for investigating the determinants of Drosha processing, 13th IEEE International Conference on Bioinformatics and Bioengineering (IEEE BIBE 2013), p. 1-4, url

V Lagani, G Kortas, I Tsamardinos (2013) Biomarker signature identification in “omics” data with multi-class outcome, Computational and Structural Biotechnology Journal, 2013, 6(7) 6(7), p. 1-7, url

P. Hunter, T Chapman, PV Coveney, B de Bono, V Diaz, J Fenner, AF Frangi, P Harris, R Hose, P Kohl, P Lawford, K McCormack, M Mendes, S Omholt, A Quarteroni, N Shublaq, J Skår, K Stroetmann, J Tegner, SR Thomas, I Tollis, I Tsamardinos, JHGM van Beek, M. Viceconti (2013) A vision and strategy for the virtual physiological human: 2012 update, Interface Focus 3(2), p. 1-27, url

Giorgio L Papadopoulos, Elena Karkoulia, Ioannis Tsamardinos, Catherine Porcher, Jiannis Ragoussis, Jorg Bungert, John Strouboulis (2013) GATA-1 genome-wide occupancy associates with distinct epigenetic profiles in mouse fetal liver erythropoiesis, Nucl. Acids Res 41(9), p. 4938-4948, url

Vincenzo Lagani, Lefteris Koumakis, Franco Chiarugi, Edin Lakasing, Ioannis Tsamardinos (2013) A systematic review of predictive risk models for diabetes complications based on large scale clinical studies, Journal of Diabetes and Its Complications 27(4), p. 407-413, url


G Borboudakis, I Tsamardinos (2012) Scoring and searching over Bayesian networks with causal and associative priors, Uncertainty in Artificial Intelligence (UAI), url

S. Kleisarchaki, D. Kotzinos, I Tsamardinos, V Christophides (2012) A Methodological Framework for Statistical Analysis of Social Text Streams, International Workshop on Information Search, Integration and Personalization (ISIP 2012) 146, p. 101-110, url

Ioannis Tsamardinos, Sofia Triantafillou, Vincenzo Lagani (2012) Towards integrative causal analysis of heterogeneous data sets and studies, Journal of Machine Learning Research 13(1), p. 1097-1157, url

D Brown, L.E., Tsamardinos, I., & Hardin (2012) To feature space and back: Identifying top-weighted features in polynomial support vector machine models, Intelligent Data Analysis 16(4), p. 551-579, url

I. Tsamardinos, G. Borboudakis, E. Christodoulou, O. D. Røe (2012) Chemosensitivity Prediction of Tumours Based on Expression, miRNA, and Proteomics Data, International Journal of Systems Biology and Biomedical Technologies (IJSBBT) 1(2), p. 1-19, pdf

G Borboudakis, I Tsamardinos (2012) Incorporating causal prior knowledge as path-constraints in bayesian networks and maximal ancestral graphs, Proceedings of the 29th International Conference on Machine Learning, ICML 2012, p. 1799-1806, url

V Lagani, I Tsamardinos, S Triantafillou (2012) Learning from Mixture of Experimental Data: A Constraint–Based Approach, Artificial Intelligence: Theories and Applications: 7th Hellenic Conference on AI 7297, p. 124-131, url

A. P. Armen, I. Tsamardinos, N. Karathanasis, P. Poirazi (2012) SVM-based miRNA: MiRNA∗ duplex prediction, IEEE 12th International Conference on Bioinformatics and Bioengineering, BIBE 2012, p. 181-186, url

G. Borboudakis, S. Triantafillou, I. Tsamardinos (2012) Tools and algorithms for causally interpreting directed edges in maximal ancestral graphs, Sixth European Workshop on Probabilistic Graphical Models, (PGM 2012), pdf

S. Dato, A. Montesanto, V. Lagani, B. Jeune, K. Christensen, G. Passarino (2012) Frailty phenotypes in the elderly based on cluster analysis: a longitudinal study of two Danish cohorts. Evidence for a genetic influence on frailty, Age 34(3), p. 571-582, url

S. Dato, M. Soerensen, A. Montesanto, V. Lagani, G. Passarino, K. Christensen, L. Christiansen (2012) UCP3 polymorphisms, hand grip performance and survival at old age: Association analysis in two Danish middle aged and elderly cohorts, Joint Meeting AGI-SIBV-SIGA 133(8), p. 530-537, url

I. Tsamardinos, V. Lagani, D. Pappas (2012) Discovering multiple, equivalent biomarker signatures., proceedings of the 7th conference of the Hellenic Society for Computational Biology & Bioinformatics, p. 1-2


G Borboudakis, S Triantafilou, V Lagani, I Tsamardinos (2011) A constraint-based approach to incorporate prior knowledge in causal models., Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pdf

AP Armen, I Tsamardinos (2011) A unified approach to estimation and control of the False Discovery Rate in Bayesian network skeleton identification., Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pdf

E. G. Christodoulou, O. D. Røe, A. Folarin, I Tsamardinos (2011) Information-Preserving Techniques Improve Chemosensitivity Prediction of Tumours Based on Expression Profiles, 12th Engineering Applications of Neural Networks (EANN) / 7th Artificial Intelligence Applications and Innovations (AIAI) joint conferences, Workshop on Computational Intelligence Applications in Bioinformatics (CIAB 2011) 363, p. 453-462, url

L. Koumakis, F. Chiarugi, V. Lagani, I Tsamardinos (2011) Risk assessment models for diabetes complications: A survey of available online tools, 2nd International ICST Conference on Wireless Mobile Communication and Healthcare (MobiHealth 2011) 83, p. 46-53, url

V. Lagani, V. Kontogiannis, P. Argyropaidas, C. Chronaki (2011) Use of SMS for Tsunami Early Warnings at a Table Top Exercise, 4th ICST International Conference on eHealth (eHealth 2011) 91, p. 76-79, url

C Filippaki, G Antoniou, I Tsamardinos (2011) Using constraint optimization for conflict resolution and detail control in activity recognition, Second International Joint Conference on Ambient Intelligence 2011 7040, p. 51-60, url

Vincenzo Lagani, Ioannis Tsamardinos, Magda Grammatikou, George Garinis (2011) A Genome-Wide Study of the Effect of Aging on Level-2 Gene-Ontology Categories in Mice Using Mixed Models, The 5th International Workshop on Data Mining in Functional Genomics and Proteomics: Current Trends and Future Directions, ECML PKDD 2011, p. 1-10

I. Tsamardinos, O. D. Roe, V. Lagani (2011) Introducing Integrative Causal Analysis for Co-Analyzing Heterogeneous Studies with an Application to Methylation and Gene Expression Mesothelioma Cancer Data., 6th Conference of the Hellenic Society for Computational Biology and Bioinformatics (HSCBB11)


S. Triantafullou, I. Tsamardinos, I.G. Tollis (2010) Learning causal structure from overlapping variable sets, Proceedings of The Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS) 9, p. 860-867, pdf

I Tsamardinos, G Borboudakis (2010) Permutation testing improves Bayesian network learning, Proceedings of the 2010 European Conference on Machine Learning and Knowledge Discovery in Databases: Part III 6323, p. 322-337, url

V Lagani, I Tsamardinos (2010) Structure-based variable selection for survival data, Bioinformatics 26(15), p. 1887-1894, url

K Gkirtzou, I Tsamardinos, P Tsakalides, P Poirazi (2010) MatureBayes: a probabilistic algorithm for identifying the mature miRNA within novel precursors, PloS one 5(8), p. 1-14, url

P. Hunter, P.V. Coveney, B. de Bono, V. Diaz, J. Fenner, A.F. Frangi, P. Harris, R. Hose, P. Kohl, P. Lawford, K. McCormack, M. Mendes, S. Omholt, A. Quarteroni, J. Skar, J. Tegner, S.Th. Randall, I.G. Tollis, I. Tsamardinos, M. van Beek (2010) A vision and strategy for the virtual physiological human in 2010 and beyond, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 368(1920), p. 2595-2614, url

F. Chiarugi, D. Emmanouilidou, I. Tsamardinos (2010) The morphological classification of heartbeats as dominant and non-dominant in ECG signals, Physiological Measurement 31(5), p. 611-631, url

C.F. Aliferis, A.R. Statnikov, I. Tsamardinos, S. Mani, X.D. Koutsoukos (2010) Local causal and markov blanket induction for causal discovery and feature selection for classification part i: Analysis and extensions, The Journal of Machine Learning Research 11, p. 171-234, url

C.F. Aliferis, A.R. Statnikov, I. Tsamardinos, S. Mani, X.D. Koutsoukos (2010) Local causal and markov blanket induction for causal discovery and feature selection for classification part ii: Analysis and extensions, The Journal of Machine Learning Research 11, p. 235-284, url


C.F. Aliferis, A.R. Statnikov, I. Tsamardinos, J.S. Schildcrout, B.E. Shepherd, Jr F.E. Harrell (2009) Factors influencing the statistical power of complex data analysis protocols for molecular signature development from microarray data, PloS one 4(3), p. 1-7, url

I Tsamardinos, AP Mariglis (2009) Multi-source causal analysis: Learning Bayesian networks from multiple datasets, Artificial Intelligence Applications and Innovations III, Proceedings of the 5TH IFIP Conference on Artificial Intelligence Applications and Innovations 296, p. 479-490, url

I Tsamardinos, S Triantafillou (2009) The possibility of integrative causal analysis: Learning from different datasets and studies, Journal of Engineering Intelligent Systems 17(2-3), p. 81-93, url


LE Brown, I Tsamardinos (2008) A Strategy for Making Predictions Under Manipulation., In JMLR: Workshop and Conference Proceedings 3, p. 35-52, pdf

I Tsamardinos, LE Brown (2008) Bounding the False Discovery Rate in Local Bayesian Network Learning., Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, p. 1100-1105, pdf

F. Chiarugi, D. Emmanouilidou, I. Tsamardinos, I.G Tollis (2008) Morphological classification of heartbeats using similarity features and a two-phase decision tree, Computers in Cardiology, p. 849-852, url


I Tsamardinos, LE Brown, CF Aliferis (2006) The max-min hill-climbing Bayesian network structure learning algorithm, Machine learning 65(1), p. 31-78, url

CF Aliferis, A Statnikov, I Tsamardinos (2006) Challenges in the analysis of mass-throughput data: a technical commentary from the statistical machine learning perspective, Cancer Informatics 2, p. 133-162, url

I Tsamardinos, AR Statnikov, LE Brown, CF Aliferis (2006) Generating Realistic Large Bayesian Networks by Tiling., In The 19th International FLAIRS Conference, p. 592-597, url


A. Statnikov, I. Tsamardinos, Y. Dosbayev, C. F Aliferis (2005) GEMS: a system for automated cancer diagnosis and biomarker discovery from microarray gene expression data, International journal of medical informatics 74(7-8), p. 491-504, url

LE Brown, I Tsamardinos, CF Aliferis (2005) A comparison of novel and state-of-the-art polynomial Bayesian network learning algorithms, In Proceedings of the national conference on artificial intelligence 20(2), p. 739-745, pdf

Y. Aphinyanaphongs, I. Tsamardinos, A. Statnikov, D. Hardin, C. F Aliferis (2005) Text categorization models for high-quality article retrieval in internal medicine, Journal of the American Medical Informatics Association 12(2), p. 207-216, url

A. Statnikov, C. F. Aliferis, I. Tsamardinos, D. Hardin, S Levy (2005) A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis, Bioinformatics 21(5), p. 631-643, url

ME Pollack, I Tsamardinos (2005) Efficiently dispatching plans encoded as simple temporal problems, Intelligent Techniques for Planning, p. 296-319, url


D Hardin, I Tsamardinos, CF Aliferis (2004) A theoretical characterization of linear SVM-based feature selection, The Twenty-First International Conference on Machine Learning (ICML 2004), p. 48-55, url

LE Brown, I Tsamardinos, CF Aliferis (2004) A novel algorithm for scalable and accurate Bayesian network learning, in Proceedings of 11th World Congress in Medical Informatics (MEDINFO ’04) 107(1), p. 711-715, pdf

A Statnikov, CF Aliferis, I Tsamardinos (2004) Methods for multi-category cancer diagnosis from gene expression data: a comprehensive evaluation to inform decision support system development, in Proceedings of the 11th World Congress in Medical Informatics (MEDINFO ’04) 107(2), p. 813-817, pdf


Lewis Frey, Douglas Fisher, Ioannis Tsamardinos, Constantin F. Aliferis, Alexander Statnikov (2003) Identifying Markov blankets with decision tree induction, The Third IEEE International Conference on Data Mining (ICDM’03), p. 59-66, url

Constantin F. Aliferis, Ioannis Tsamardinos, Alexander Statnikov (2003) HITON: a novel Markov Blanket algorithm for optimal variable selection, the American Medical Informatics Association meeting 2003 (AMIA 2003), p. 21-25, url

I Tsamardinos, CF Aliferis, A Statnikov (2003) Time and sample efficient discovery of Markov blankets and direct causal relations, The Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2003), p. 673-678, url

I. Tsamardinos, M. E. Pollack, S. Ramakrishnan (2003) Assessing the probability of legal execution of plans with temporal uncertainty, ICAPS03 Workshop on Planning under Un-certainty and Incomplete Information, p. 110-118, pdf

M. E. Pollack, L. Brown, D. Colbry, C. E. McCarthy, C. Orosz, B. Peintner, S Ramakrishnan, I. Tsamardinos (2003) Autominder: An intelligent cognitive orthotic system for people with memory impairment, Robotics and Autonomous Systems 44(3-4), p. 273-282, url

I Tsamardinos, ME Pollack (2003) Efficient solution techniques for disjunctive temporal reasoning problems, Artificial Intelligence 151(1-2), p. 43-89, url

I Tsamardinos, T Vidal, ME Pollack (2003) CTP: A new constraint-based formalism for conditional, temporal planning, Special Issue on Planning of Constraints Journal 8(4), p. 365-388, url

CF Aliferis, I Tsamardinos, AR Statnikov, LE Brown (2003) Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery., International Conference on Mathematics and Engineering Techniques in Medicine and Biolog-ical Sciences (METMBS ’03), p. 371-376, pdf

C. F. Aliferis, I. Tsamardinos, P. Massion, A. Statnikov, D. Hardin (2003) Why Classification Models Using Array Gene Expression Data Perform So Well: A Preliminary Investigation of Explanatory Factors., International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences (METMBS ’03), p. 47-53, pdf

I Tsamardinos, CF Aliferis, AR Statnikov, E Statnikov (2003) Algorithms for Large Scale Markov Blanket Discovery., FLAIRS conference, p. 376-381, pdf

I Tsamardinos, CF Aliferis (2003) Towards Principled Feature Selection: Relevancy, Filters and Wrappers., Ninth International Workshop on Artificial Intelligence and Statistics, AISTAT, pdf


I Tsamardinos (2002) A probabilistic approach to robust execution of temporal plans with uncertainty, Proceedings of the 2nd Greek National Conference on Artificial Intelligence 2308, p. 97-108, url

Martha E. Pollack, Colleen E. McCarthy, Sailesh Ramakrishnan, Ioannis Tsamardinos (2002) Execution-time plan management for a cognitive orthotic system, Plan-Based Control of Robotic Agents 2466, p. 179-192, url

M. E. Pollack, C. E . McCarthy, S. Ramakrishnan, I. Tsamardinos, L. Brown, S. Carrion, D. Colbry, C. Orosz, B. Peintner (2002) Autominder: A planning, monitoring, and reminding assistive agent, Proceedings of the 7th International Conference on Intelligent Autonomous Systems (IAS), pdf

Alan Berfield, Panos K. Chrysanthis, Ioannis Tsamardinos, Martha E. Pollack, Sujata Banerjee (2002) A scheme for integrating e-services in establishing virtual enterprises, 12th International Workshop on Research Issues on Data Engineering (RIDE-02), p. 134-142, url

Constantin F. Aliferis, Ioannis Tsamardinos, Pierre Mansion, Alexander Statnikov, Douglas Hardin (2002) Machine learning models for lung cancer classification using array comparative genomic hybridization., 16th International FLAIRS Conference, p. 67-71


I Tsamardinos, ME Pollack, P Ganchev (2001) Flexible dispatch of disjunctive plans, Proceedings of Sixth European Conference on Planning 2001 (ECP-01), p. 417-422, url


I Tsamardinos, ME Pollack, JF Horty (2000) Merging Plans with Quantitative Temporal Constraints, Temporally Extended Actions, and Conditional Branches., Proceedings of the 5th International Conference on AI Planning and Scheduling (AIPS 2000), Breckenridge, CO, April, 2000, p. 264-272, pdf


ME Pollack, I Tsamardinos, JF Horty (1999) Adjustable autonomy for a plan management agent, Proceedings of the 1999 AAAI Spring Symposium on Adjustable Autonomy, pdf


I Tsamardinos, N Muscettola, P Morris (1998) Fast transformation of temporal plans for efficient execution, Proceedings of the 15th National Conference on Artificial Intelli-gence (AAAI’98), p. 254-261, pdf

N Muscettola, P Morris, I Tsamardinos (1998) Reformulating temporal plans for efficient execution, Proceedings of the 6th Conference Principles of Knowledge Represen-tation and Reasoning (KR), p. 444-452, url

C. Bicchieri, M. Pollack, C. Rovelli, I. Tsamardinos (1998) Bicchieri-The_Potential_for_the_Evolution_of_Co-operatin.pdf, International Journal of Computer-Human Systems 48(1), p. 9-29


S. Orphanoudakis, M. Tsiknakis, C. Chronaki, S. Kostomanolakis, M. Zikos, I Tsamardinos (1995) Development of an Integrated Image Management and Communication System on Crete, Proceedings of Computed Aided Radiology ’95, p. 481-487