Σεφερίνα Μαυρουδή

ΔΙΔΑΚΤΙΚΑ ΑΝΤΙΚΕΙΜΕΝΑ

Τρέχον Ακαδημαϊκό Έτος:

• Πληροφορικής της Υγείας
• Βιοστατιστική
• Βιοπληροφορική
• Βιοϊατρικές Βάσεις Δεδομένων

Προηγούμενα Ακαδημαϊκά Έτη:

• Πληροφορική της Υγείας
• Βιοστατιστική
• Μεθοδολογία Έρευνας
• Υπολογιστική Νοημοσύνη
• Βιοπληροφορική
• Βιοϊατρικές Βάσεις Δεδομένων

 ΔΙΠΛΩΜΑΤΑ-ΑΚΑΔΗΜΑΪΚΟΙ ΤΙΤΛΟΙ

ΑΚΑΔΗΜΑΪΚΗ ΣΤΑΔΙΟΔΡΟΜΙΑ

ΕΠΑΓΓΕΛΜΑΤΙΚΗ ΣΤΑΔΙΟΔΡΟΜΙΑ – ΧΡΗΜΑΤΟΔΟΤΟΥΜΕΝΑ ΕΡΕΥΝΗΤΙΚΑ ΠΡΟΓΡΑΜΜΑΤΑ:

ΕΡΕΥΝΗΤΙΚΑ ΕΝΔΙΑΦΕΡΟΝΤΑ:

ΣΥΜΜΕΤΟΧΗ ΣΕ ΕΠΙΣΤΗΜΟΝΙΚΑ ΠΕΡΙΟΔΙΚΑ ΚΑΙ ΣΥΝΕΔΡΙΑ:

ΑΝΑΚΟΙΝΩΣΕΙΣ ΣΕ ΠΑΝΕΛΛΗΝΙΑ/ΔΙΕΘΝΗ ΣΥΝΕΔΡΙΑ: 47

ΔΗΜΟΣΙΕΥΣΕΙΣ ΣΕ ΔΙΕΘΝΗ ΠΕΡΙΟΔΙΚΑ: 38

ΔΗΜΟΣΙΕΥΣΕΙΣ ΣΕ ΕΛΛΗΝΙΚΑ/ΔΙΕΘΝΗ ΒΙΒΛΙΑ/ΚΕΦΑΛΑΙΑ ΒΙΒΛΙΩΝ: 3

ΕΠΙΛΕΓΜΕΝΕΣ ΕΠΙΣΤΗΜΟΝΙΚΕΣ ΔΗΜΟΣΙΕΥΣΕΙΣ:

Επιλεγμένες δημοσιεύσεις σε διεθνή περιοδικά με κριτές

1. Gudin, J., Mavroudi, S., Korfiati, A., Theofilatos, K., Dietze, D., & Hurwitz, P. (2019, July). A precision medicine approach for non-opioid pain therapy using a combination of multi-objective optimization and support vector regression. In 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)(pp. 1-7). IEEE, Greece, DOI: 10.1109/IISA.2019.8900689
2. Hastings, M., Theofilatos, K., Mavroudi, S., (2018). Combining network theory and machine learning to identify a diagnostic and prognostic biosignature for Glioblastoma, In Proceedings of the 11th annual RECOMB/ISCB Conference on Regulatory & Systems Genomics conference, New York City, USA, December 2018
3. Theofilatos, K., Tatsi, K., Mavroudi, S., Georgakilas, A. (2017). Deciphering the impact of radiation therapies in molecular level using biological network based bioinformatics technique, In Proceedings of the CPRIT Innovations in Cancer Prevention and Research, Austin, USA November 2017
4. Corthésy, J., Theofilatos, K., Mavroudi, S., Cominetti, O., Remlawi, M., Ferraro, F., Núñez Galindo, A., Montoliu, I., Kussmann, M., Likothanassis, S., Dayon, L., (2016). Maximizing shotgun proteomics isobaric tagging data output using MS/MS multi-objective optimization algorithm, In Proceedings of the American Society for Mass Spectrometry on June 2016, San Antonio, USA.
5. Kontaxakis, J., Sangriotis, M., Angelopoulou, R., Plastira, K., Sgouros, N., Mavroudi, S. (2007). Automatic Analysis of TUNEL assay Microscopy Images, The 7th IEEE International Symposium on Signal Processing and Information Technology, Biomedical Signal Processing Session, pp 1172-1176, December 15-18, Cairo Egypt, 2007
6. Dragomir, A., Mavroudi, S., Bezerianos, A. (2004). Tumor classification using ensembles of support vector machines and boosting, The Workshop on Genomic Signal Processing and Statistics (GENSIPS 2004), Baltimore, Maryland, USA
7. Mavroudi, S., Dragomir, A., Papadimitriou, S., Bezerianos, A. (2003). Integrating Supervised and Unsupervised Learning in Self Organizing Maps for Gene Expression Data Analysis, ICANN/ICONIP, June 26-29, 2003, Istanbul, Turkey published in Lecture Notes in Computer Science 2714, pp. 262-270
8. Mavroudi, S., Papadimitriou, S., Bezerianos, A. (2002). Gene Expression Analysis By A Novel Dynamically Extendable Self-Organized Map Integrating Unsupervised And Supervised Learning, Poster-session, RECOMB 2002, The Sixth Annual International Conference on Research in Computational Molecular Biology, Washington, DC, April 18-21, 2002
9. Vladutu, L., Papadimitriou, S., Mavroudi, S., Bezerianos, A. (2001). Ischemia Detection using Supervised Learning for Hierarchical Neural Networks based on Kohonen -Maps, Τhe 23rd IEEE-EMBS Conference, Istanbul, 25-28 October 2001, Proceedings, 2, 1688-1691
10. Vladutu, L., Papadimitriou, S., Mavroudi, S., Bezerianos, A. (2001). Generalized RBF Networks trained with Instance Based Training for mining Symbolic Data, The 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-01), April 16-18, 2001, Hong Kong, published in Lecture Notes in Artificial Intelligence, Advances in Knowledge Discovery and Data Mining,Edts. David Cheung, Graham J. Williams, Qing Li, Springer-Verlang, pp. 587-594
11. Papadimitriou, S., Bezerianos, A., Vladutu, L., Mavroudi, S. (2000). Detection of ischemic episodes with a combination of supervised and unsupervised learning, the Int. Conference On Computational Intelligence, Slovakia, ISCI 2000, 29 August – 1 September 2000 published in "The State of the Art in Computational Intelligence",Physica-Verlag, SPRINGER, 2000,P. Sincak, J. Vascak, V. Kvasnicka, R. Mesiar,Eds.

Επιλεγμένες δημοσιεύσεις σε κεφάλαια βιβλίων

1. “Computational intelligence: Recent advances, perspectives and open problems”, Theofilatos, K., Georgopoulos, E., Likothanassis, S., Mavroudi, S. Computational Intelligence Techniques for Trading and Investment, pp. 3-21. Taylor and Francis (Series: Advances in Experimental and Computable Economics), ISBN: 978-0-415-63680-3, 2014
2. “Πρωτεϊνική Ανάλυση”, Χ. Μοσχόπουλος, Σ. Μαυρουδή, Σ. Κοσσίδα, Βιοπληροφορική – Δυνατότητες και Προοπτικές, Κεφάλαιο 11, σελ. 173-186, Εκδόσεις: Ίδρυμα Ιατροβιολογικών Ερευνών της Ακαδημίας Αθηνών, 2008

Επιλεγμένες ανακοινώσεις σε ελληνικά επιστημονικά συνέδρια με κριτές

1. Pappa I., Nikou S., Korfiati A., Theofilatos K., Mavroudi S., Bravou V. Deciphering the importance of focal adhesion proteins in lung adenocarcinoma with bioinformatics tools. 70th National Conference of the Hellenic Society of Biochemistry and Molecular Biology, 29th November – 1st December 2019. Athens, Greece.
2. Korfiati, D., Kleftogiannis, K. Theofilatos, S. Likothanassis, A. Tsakalidis, S. Mavroudi, “Predicting Human miRNA Target Genes Using a Novel Evolutionary Methodology”, Artificial Intelligence: Theories, Models and Applications, 8th Hellenic Conference on AI, SETN 2012 Lamia, Greece, May 2012. (Best Student Award) Lecture Notes in Computer Science, Springer Verlag, 2012, Volume 7297/2012, 291-298, DOI:10.1007/978-3-642-30448-4_37