Periodicals

Journal Articles

  • Tsamardinos, I., Borboudakis, G., Christodoulou, E., & Roe, O. D. (2012). Chemosensitivity Prediction of Tumours Based on Expression, miRNA, and Proteomics Data . International Journal of Systems Biology and Biomedical Technologies (IJSBBT)1(2), 1-19.
  • Koumakis, L., Moustakis, V.A., Zervakis, M.E., Kafetzopoulos, D., & Potamias, G.A. (2012). Coupling Regulatory Networks and Microarays: Revealing Molecular Regulations of Breast Cancer Treatment Responses. Artificial Intelligence: Theories and Applications. Lecture Notes in Computer Science7297, 239-246.
  • Laine, M., Moustakis, V.A., Koumakis, L., & Potamias, G.A. (2012). Modeling susceptibility to periodontitis. Journal of Dental Research92(1), 45-50.
  • Maojo, V., Fritts, M., Martin-Sanchez, F., De La Iglesia, D., Cachau, R. E. , Garcia-Remesal, M., Crespo, J., Mitchell, J.A., Anguita, A., Baker, N., Barreiro, J. M., Benitez, S. E., De la Calle, G., Facelli, J. C., Ghazal, P., Gonzalez-Nilo, F., Graf, N., Grangeat, P., Hermosilla, I., Hussein, R., Kern, J., Koch, S., Legre, Y., & Lopez-Alo (2012). Nanoinformatics: developing new computing applications for nanomedicine. Computing94(6), 521-539.
  • Brown, L.E., Tsamardinos, I., & Hardin, D. (2012). To Feature Space and Back: Identifying Top-Weighted Features in Polynomial Support Vector Machines Models. Intelligent Data Analysis 16(4), 551-579.
  • Tsamardinos, I., Triantafullou, S., & Lagani, V. (2012). Towards Integrative Causal Analysis of Heterogeneous Datasets and Studies. Journal of Machine Learning Research13, 1097-1157.
  • Potamias, G.A., Kaforou, S., & Kafetzopoulos, D. (2012). Towards Optimal Microarray Universal Reference Sample Designs: An In-Silico Optimization Approach. International Journal of Systems Biology and Biomedical Technologies (IJSBBT)1(2), 66-77.
  • Serena, D., Montesanto, A., Lagani, V., Jeune, B., Christensen, K., & Passarino, G. (2011). Frailty phenotypes in the elderly based on cluster analysis: a longitudinal study of two Danish cohorts. Evidence for a genetic influence on frailty. AGE, (pp. 1-12). Springer Netherlands.
  • Tsiliki, G., Zervakis, M.E., Ioannou, M., Sanidas, E., Stathopoulos, E., Potamias, G.A., Tsiknakis, M.N., & Kafetzopoulos, D. (2011). Multi-platform data integration in microarray analysis. IEEE Transactions on Information Technology in Biomedicine (TITB 2011).
  • Tsiliki, G., Zervakis, M.E., Ioannou, M., Sanidas, E., Stathopoulos, E., Potamias, G.A., Tsiknakis, M.N., & Kafetzopoulos, D. (2011). Multi-platform Data Integration in Microarray Analysis. IEEE Transactions on Information Technology in Biomedicine15(6), 806-812. IEEE Engineering in Medicine and Biology Society, IEEE Computer Society [Technical Co-Sponsor].
  • Hunter, P., Coveney, P.V., de Bono, B., Diaz, V., Fenner, J., Frangi, A.F., Harris, P., Hose, R., Kohl, P., Lawford, P., McCormack, K., Mendes, M., Omholt, S., Quarteroni, A., Skar, J., Tegner, J., Randall, S.Th., Tollis, I.G., Tsamardinos, I., van Beek, J.H.G.M., & Viceconti, M. (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 Sciences368(1920), 2595-2614.
  • Zampetakis, L.A., & Moustakis, V.A. (2010). An exploratory research on the factors stimulating corporate entrepreneurship in the Greek public sector. International Journal of Manpower31(8), 871-887.
  • Sfakianakis, S.G., Blazadonakis, M.E., Dimou, I.N., Zervakis, M.E., Tsiknakis, M.N., Potamias, G.A., Kafetzopoulos, D., & Lowe, D. (2010). Decision Support Based on Genomics: Integration of Data and Knowledge Driven Reasoning. International Journal of Biomedical Engineering and Technology 3(3/4), 287-307.
  • Aliferis, C.F., Statnikov, A.R., Tsamardinos, I., Mani, S., & Koutsoukos, X.D. (2010). Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation. Journal of Machine Learning Research11, 171-234.
  • Aliferis, C.F., Statnikov, A.R., Tsamardinos, I., Mani, S., & Koutsoukos, X.D. (2010). Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification. Part II: Analysis and Extensions. Journal of Machine Learning Research, Special Topic on Causality11, 235-284.
  • Gkirtzou, K., Tsamardinos, I., Tsakalides, P., & Poirazi, P. (2010). MatureBayes: A probabilistic algorithm for identifying the mature miRNA within novel precursors. , 5(8), e11843.
  • Zampetakis, L.A., & Moustakis, V.A. (2010). Quantifying uncertainty in ranking problems with composite indicators: A Bayesian approach. Journal of Modeling in Management5(1), 63-80.
  • Kanterakis, A., Potamias, G.A., Zacharioudakis, G., Koumakis, L., Sfakianakis, S.G., & Tsiknakis, M.N. (2010). Scientific discovery workflows in bioinformatics: a scenario for the coupling of molecular regulatory pathways and gene-expression profiles. Stud Health Technol Inform160, 1304-1308.
  • Lagani, V., & Tsamardinos, I. (2010). Structure-Based Variable Selection for Survival Data. Bioinformatics 201026(15), 1887-1894.
  • Chiarugi, F., Emmanouilidou, D., & Tsamardinos, I. (2010). The morphological classification of heartbeats to dominant and non-dominant in ECG signals. Physiological Measurements31(5), 611-631.
  • Aliferis, C.F., Statnikov, A.R., Tsamardinos, I., Schildcrout, J.S., Shepherd, B.E., & Harrell, Jr F.E. (2009). Factors influencing the statistical power of complex data analysis protocols for molecular signature development from microarray data. PLoS ONE4(3).
  • Tsamardinos, I., & Triantafulou, S. (2009). The Possibility of Integrative Causal Analysis: Learning from Different Datasets and Studies. Journal of Engineering Intelligent Systems17(1), CRL Publishing.
  • Tsiknakis, M.N., Brochhausen, M., Nabrzyski, J., Pucacki, J., Sfakianakis, S.G., Potamias, G.A., Desmedt, C., & Kafetzopoulos, D. (2008). A semantic grid infrastructure enabling integrated access and analysis of multilevel biomedical data in support of postgenomic clinical trials on cancer. IEEE Trans Inf Technol Biomed12(2), 205-217.
  • Kern, J., Fister, K., Petrovecki, M., Polasek, O., Stevanovic, R., Vuletic, S., Maojo, V., Martin-Sanchez, F., Potamias, G.A., Gonzalez Bernaldo, de Q.F., Gonzalez, D., Legre, Y., & Moustakis, V.A. (2008). ACTION-grid: International Networking in Grid Computing and Biomedical Informatics. Acta Informatica Medica16(3), 156-158.
  • Potamias, G.A., & Kanterakis, A. (2007). Feature selection for the promoter recognition and prediction problem. Int.J.Data Warehouse.Min.3(3), 60-78.
  • Potamias, G.A., Koumakis, L., Kanterakis, A., Moustakis, V.A., Kafetzopoulos, D., & Tsiknakis, M.N. (2007). Mining interesting clinico-genomic associations: The HealthObs approach. Artificial Intelligence and Innovations 2007: from Theory to Applications, IFIP International Federation for Information Processing247, 137-145.
  • Gonianakis, I.M., Neonakis, I.K., Gonianakis, I.M., Baritaki, M.A., Kypriotakis, Z., Potamias, G.A., Bouros, D., & Kontou-Fili, K.S. (2006). A 10-year aerobiological study (1994-2003) in the Mediterranean island of Crete, Greece: Grasses and other weeds, aerobiological data, and botanical and clinical correlations. Allergy Asthma Proc.27(5), 363-370.
  • Koumakis, L., Moustakis, V.A., Kanterakis, A., & Potamias, G.A. (2006). Mining time series with mine time. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)3955 LNAI, 158-168.
  • Gonianakis, I.M., Neonakis, I.K., Gonianakis, I.M., Baritaki, M.A., Bouros, D., Potamias, G.A., & Kontou-Fili, K.S. (2006). Mold allergy in the Mediterranean Island of Crete, Greece: a 10-year volumetric, aerobiological study with dermal sensitization correlations. Allergy and Asthma Proceedings : The Official Journal of Regional and State Allergy Societies27(5), 354-362. United States
  • Potamias, G.A., Koumakis, L., & Moustakis, V.A. (2005). Mining XML Clinical Data: the HealthObs System. Ingéniere des Systèmes d"Information10(1), 59-79.
  • Potamias, G.A., Koumakis, L., & Moustakis, V.A. (2004). Gene Selection via Discretized Gene-Expression Profiles and Greedy Feature-Elimination. , 3025, 256-266.
  • Potamias, G.A., & Koumakis, L. (2004). HealthObs: An Integrated System for Mining Clinical XML-formatted Data. Journal for Quality of Life Research (JQLR)2(1), 76-82.
  • Potamias, G.A., Kafetzopoulos, D., & Tsiknakis, M.N. (2004). Integrated Clinico-Genomics Environment: Design and Operational Specification. Journal for Quality of Life Research (JQLR)2(1), 145-150.
  • Potamias, G.A., & Dermon, C.R. (2004). Protein synthesis profiling in the developing brain: A graph theoretic clustering approach. Comput.Methods Programs Biomed.76(2), 115-129.
  • Potamias, G.A., Tsiknakis, M.N., Katehakis, D.G., Karabela, E., Moustakis, V.A., & Orphanoudakis, S.C. (2000). Role-based access to patients clinical data: the InterCare approach in the region of Crete. Studies in health technology and informatics77, 1074-1079. Netherlands
  • Potamias, G.A. (1999). MICSL: Multiple Iterative Constraint Satisfaction based Learning. Intell.Data Anal.3(4), 245-265.
  • Tserpes, G., Peristeraki, P., Potamias, G.A., & Tsimenides, N. (1999). Species distribution in the southern Aegean sea based on bottom-trawl surveys. Aquatic Living Resour.12(3), 167-175.
  • Moustakis, V.A., Blazadonakis, M.E., Marazakis, M., & Potamias, G.A. (1998). Assessment of Boolean minimization in symbolic empirical learning. Appl Artif Intell12(4), 329-342.
  • Potamias, G.A., Moustakis, V.A., & Charissis, G. (1997). Interactive Knowledge Based Construction and Maintenance. APPLIED ARTIFICIAL INTELLIGENCE11(7/8), 697-718.
  • Morik, K., Potamias, G.A., Moustakis, V.A., & Charissis, G. (1994). Knowledgeable learning using MOBAL: A medical case study. Appl Artif Intell8(4), 579-592. Basingstoke, United Kingdom: Taylor & Francis Ltd.
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