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Curriculum Vitae

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Grigorios Tsoumakas

Assistant Professor, School of Informatics

Personal Information

- 2310998887
- 2310998887
greg@csd.auth.gr
http://users.auth.gr/greg
Scopus ID8088070600
Google Scholar IDPlGKUhwAAAAJ
Researcher IDB-4718-2008
OrcID ID0000-0002-7879-669X
Γνωστικό Αντικείμενο:
Μηχανική Μάθηση και Ανακάλυψη Γνώσης
Επιστημονική Ειδίκευση: Επιστήμη της πληροφορικής

Education

Προπτυχιακές Σπουδές

1999	Πτυχίο Τμήμα Πληροφορικής Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης Greece

Μεταπτυχιακές Σπουδές

2000	MSc School of Science and Engineering University of Edinburgh Great Britain Artificial Intelligence

Διδακτορικό Δίπλωμα

2005	ΔΔ Τμήμα Πληροφορικής Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης Greece

Course Work

Courses of Winter semester of 2018–19 academic year

	TMĪMA PLĪROFORIKĪS
NCO-03-04	OBJECT ORIENTED PROGRAMMING
NIS-07-01	WEB INFORMATION SYSTEMS

	EPISTĪMĪ DEDOMENŌN KAI PAGKOSMIOU ISTOU
DWS104	Text Mining and Natural Language Processing

Courses of Spring semester of 2018–19 academic year

	TMĪMA PLĪROFORIKĪS
NIS-06-01	DECISION SUPPORT THEORY AND SYSTEMS

	TECΗNĪTĪ NOĪMOSYNĪ
AI202	Advanced Topics in Machine Learning

	EPISTĪMĪ DEDOMENŌN KAI PAGKOSMIOU ISTOU
DWS205	Advanced Topics in Machine Learning

Theses Supervised

Student Theses within AUTh

In progress

Nentidis Anastasios. Ανακάλυψη γνώσης απο βϊοιατρικά δεδομένα
Christou Despoina. Εξόρυξη γνώσης από δεδομένα κειμένου
Athanasiadis Alexandros. Trajectory data mining
Karpouzis Athanasios. Ανάλυση ψηφιακής μαστογραφίας για την έγκαιρη ανίχνευση του καρκίνου του μαστού με χρήση τεχνικών μηχανικής μάθησης
Lagopoulos Athanasios. Εξόρυξη Γνώσης απο τη Χρήση του Παγκόσμιου Ιστού
Liu Bin. Μηχανική Μάθηση και Ανακάλυψη Γνώσης
Papagiannopoulou Eirini. Ανακάλυψη γνώσης απο συνδεδεμένα ανοικτά δεδομένα
Dimitriadis Dimitrios. Εξόρυξη γνώσης από κείμενα και επεξεργασιά φυσικής γλώσσας
Papanikolaou Ioannis. Εξόρυξη γνώσης από κείμενα

2017–2018

Amanatiadis Vasileios. Κατηγοριοποίηση βιοϊατρικών εικόνων με βάση τα χαρακτηριστικά κειμένου
Noulis Aristeidis. Ανάπτυξη Συστήματος Πρότασης Περιοδικού
Panagiotou Panagiotis. Πρόβλεψη Ζήτησης προϊόντων σε καταστήματα λιανικής με μεθόδους μηχανικής μάθησης
Papageorgiou Thomas. Ανάλυση μεθόδων πρόβλεψης κατανάλωσης φυσικού αερίου
Deliakos Ioannis. ΣΥΛΛΟΓΙΚΗ ΚΑΤΗΓΟΡΙΟΠΟΙΗΣΗ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ ΣΕ ΕΤΕΡΟΓΕΝΕΙΣ ΓΡΑΦΟΥΣ.
Iliadis Dimitrios. ΤΕΧΝΙΚΕΣ ΜΗΧΑΝΙΚΗΣ ΜΑΘΗΣΗΣ ΓΙΑ ΣΧΕΔΙΑΣΜΟ ΦΑΡΜΑΚΩΝ.
Kapraras Nikolaos. Επέκταση Ανατροφοδότησης στο Σύστημα Κατηγοριοποίησης Εικόνων Βιοϊατρικής Medieval
Mollas Ioannis. Εντοπισμός Ρητορικής Μίσους στην Πλατφόρμα YouTube
Kouroupetroglou Praxitelis Nikolaos, Kouroupetroglou Praxitelis Nikolaos. Τεχνικές μηχανικής μάθησης για βραχυπρόθεσμη πρόβλεψη φορτίου ηλεκτρικής ενέργειας

2016–2017

Samarinas Christos. ΕΞΟΡΥΞΗ ΑΠΑΝΤΗΣΕΩΝ ΑΠΟ ΤΟΝ ΠΑΓΚΟΣΜΙΟ ΙΣΤΟ ΜΕ ΤΕΧΝΙΚΕΣ ΑΝΑΚΤΗΣΗΣ ΠΛΗΡΟΦΟΡΙΑΣ ΚΑΙ ΜΗΧΑΝΙΚΗΣ ΜΑΘΗΣΗΣ.
Lagopoulos Athanasios. ΚΑΤΗΓΟΡΙΟΠΟΙΗΣΗ ΕΙΚΟΝΩΝ ΕΠΙΣΤΗΜΟΝΙΚΩΝ ΔΗΜΟΣΙΕΥΣΕΩΝ ΒΙΟΪΑΤΡΙΚΗΣ.
Exarchopoulos Andreas. Εντοπισμός Εκφοβισμού στο YouTube
Anagnostou Antonios. HATEBUSTERS: ΣΥΣΤΗΜΑ ΑΝΑΚΤΗΣΗΣ ΚΑΙ ΑΝΑΦΟΡΑΣ ΡΗΤΟΡΙΚΗΣ ΜΙΣΟΥΣ ΣΤΟ YOUTUBE.
Minas Adamantios. ΣΥΓΚΡΙΣΗ ΤΕΧΝΙΚΩΝ ΜΗΧΑΝΙΚΗΣ ΜΑΘΗΣΗΣ ΓΙΑ ΑΝΑΚΤΗΣΗ ΕΓΓΡΑΦΩΝ.

2015–2016

Agathangelou Sofia. Κατηγοριοποίηση Ιατρικών Εικόνων
Lyrtzi Domna. Ανίχνευση ρομπότ σε διαδικτυακές πύλες επιστημονικών δημοσιεύσεων
Karagkozidis Ilias. Πρόβλεψη πωλήσεων ειδών ζαχαροπλαστείου
Tzimas Rafail. ΑΝΑΛΥΣΗ ΔΕΔΟΜΕΝΩΝ ΕΞΥΠΝΟΥ ΚΤΙΡΙΟΥ
Karponi Konstantina. Τεχικές μηχανικής μάθησης για ροές δεδομένων με πολλαπλές ετικέτες
Zachros Ioannis. ΒΕΛΤΙΩΣΗ ΤΟΥ ΙΣΤΟΤΟΠΟΥ ΤΟΥ ΤΜΗΜΑΤΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ ΤΟΥ ΑΠΘ
Christelis Evangelos. Τεχνικές Μηχανικής Μάθησης για Πρόβλεψη Κατανάλωσης Φυσικού Αερίου
Dimitriadis Dimitrios. Εξαγωγή ανοιχτών προκλήσεων από επιστημονικά άρθρα
Stampoulis Nikolaos. Ανακάλυψη Πολιτιστικού Περιεχομένου Βάσει Τοποθεσίας
Chandrinos Ioannis. ΤΕΧΝΙΚΕΣ ΜΗΧΑΝΙΚΗΣ ΜΑΘΗΣΗΣ ΓΙΑ ΣΗΜΑΣΙΟΛΟΓΙΚΟ ΧΑΡΑΚΤΗΡΙΣΜΟ ΑΝΑΦΟΡΩΝ ΣΕ ΕΠΙΣΤΗΜΟΝΙΚΕΣ ΔΗΜΟΣΙΕΥΣΕΙΣ.
Fotopoulos Dimitrios. Ανάκτηση Εγγράφων Για Συστήματα Απάντησης Ερωτήσεων Βιοιατρικής

2014–2015

Sentelidis Theodoros. ΣΥΣΤΗΜΑ ΥΠΟΣΤΗΡΙΞΗΣ ΑΠΟΦΑΣΕΩΝ ΠΡΟΜΗΘΕΙΑΣ ΑΕΡΙΟΥ

2013–2014

Mystakidis Stylianos. ΑΝΑΚΑΤΑΣΚΕΥΗ ΤΟΥ ΙΣΤΟΤΟΠΟΥ ΤΟΥ ΤΜΗΜΑΤΟΣ ΙΤΑΛΙΚΗΣ ΓΛΩΣΣΑΣ ΚΑΙ ΦΙΛΟΛΟΓΙΑΣ ΑΠΘ
Kontogeorgi Theofano. ΜΕΤΑ-ΑΝΑΛΥΣΗ ΔΕΔΟΜΕΝΩΝ ΑΓΓΕΙΟΧΕΙΡΟΥΡΓΙΚΗΣ
Lokas Marios. ΣΥΛΛΟΓΙΚΗ ΤΑΞΙΝΟΜΗΣΗ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ
Dimitriadis Dimitrios. ΣΥΣΤΗΜΑ ΑΠΑΝΤΗΣΗΣ ΕΡΩΤΗΣΕΩΝ ΒΙΟΪΑΤΡΙΚΗΣ

2012–2013

Kalligaros Georgios. ΕΠΙΧΕΙΡΗΜΑΤΙΚΗ ΕΥΦΥΙΑ ΣΤΗ ΔΙΑΧΕΙΡΙΣΗ ΖΩΙΚΗΣ ΠΑΡΑΓΩΓΗΣ
Vrekou Aikaterini. ΤΕΧΝΙΚΕΣ ΠΑΛΙΝΔΡΟΜΗΣΗΣ ΓΙΑ ΠΟΛΛΑΠΛΟΥΣ ΣΤΟΧΟΥΣ
Papagiannopoulou Eirini. ΤΕΧΝΙΚΕΣ ΔΕΙΓΜΑΤΟΛΗΨΙΑΣ ΣΕ ΔΕΔΟΜΕΝΑ ΠΟΛΛΑΠΛΩΝ ΕΠΙΚΕΤΩΝ
Papagiannopoulou Christina. ΕΥΡΕΣΗ ΚΑΙ ΑΞΙΟΠΟΙΗΣΗ ΠΕΡΙΟΡΙΣΜΩΝ ΜΕΤΑΞΥ ΕΠΙΚΕΤΩΝ ΣΕ ΔΕΔΟΜΕΝΑ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ
Mandros Panagiotis. Μάθηση Μεγάλης Κλιμακας από Δεδομένα Πολλαπλών Ετικετών
Gkanias Evripidis. ΑΝΑΠΤΥΞΗ ΑΛΓΟΡΙΘΜΩΝ ΒΑΘΙΑΣ ΜΑΘΗΣΗΣ ΓΙΑ ΔΕΔΟΜΕΝΑ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ

2011–2012

Arampatzis Zisis. ΣΥΓΚΡΙΤΙΚΗ ΠΕΙΡΑΜΑΤΙΚΗ ΑΞΙΟΛΟΓΗΣΗ ΑΛΓΟΡΙΘΜΩΝ ΜΑΘΗΣΗΣ ΑΠΟ ΔΕΔΟΜΕΝΑ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ ΣΤΗΝ ΑΥΤΟΜΑΤΗ ΣΗΜΑΝΣΗ ΜΟΥΣΙΚΗΣ
Symeonidis Spyridon. Διαδικτυακή Εφαρμογή Αναζήτησης Εικόνων
Ktistakis Dimitrios. Σύστημα ανάκτησης εικόνων
Efstathiou Odysseas. ΑΛΓΟΡΙΘΜΟΙ ΜΗΧΑΝΙΚΗΣ ΜΑΘΗΣΗΣ ΣΕ ΠΟΛΥΤΜΗΜΑΤΙΚΑ ΔΕΔΟΜΕΝΑ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ
Lazaridou Paraskevi. ΤΕΧΝΙΚΕΣ ΜΗΧΑΝΙΚΗΣ ΜΑΘΗΣΗΣ ΓΙΑ ΧΑΡΑΚΤΗΡΙΣΜΟ ΜΟΥΣΙΚΗΣ ΒΑΣΙΣΜΕΝΟ ΣΕ ΣΤΙΧΟΥΣ

2010–2011

Markatopoulou Foteini. ΚΛΑΔΕΜΑ ΟΜΑΔΑΣ ΚΑΤΑ ΠΕΡΙΠΤΩΣΗ ΜΕΣΩ ΤΑΞΙΝΟΜΗΣΗΣ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ
Andreadis Stylianos. ΣΥΣΤΗΜΑ ΔΙΑΧΕΙΡΙΣΗΣ ΔΙΑΔΙΚΤΥΑΚΗΣ ΦΗΜΗΣ
Vasiloudis Theodoros. ΑΝΑΠΤΥΞΗ ΑΛΓΟΡΙΘΜΩΝ ΤΑΞΙΝΟΜΗΣΗΣ ΔΕΔΟΜΕΝΩΝ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ ΜΕ ΧΡΗΣΗ ΔΙΚΤΥΩΝ BAYES
Papastergiou Christos. ΕΞΟΡΥΞΗ ΣΥΝΑΙΣΘΗΜΑΤΟΣ ΑΠΟ ΚΟΙΝΩΝΙΚΑ ΜΕΣΑ ΗΛΕΚΤΡΟΝΙΚΗΣ ΔΙΑΚΥΒΕΡΝΗΣΗΣ
Spyromitros-Xioufis Eleftherios. Dealing with Concept Drift and Class Imbalance in Multi-label Stream Classification / Αντιμετωπίζοντας την εννοιολογική απόκλιση και την ασυμμετρία κλάσης στην ταξινόμηση ρευμάτων δεδομένων πολλαπλών ετικετών.
Polianidis Pavlos. ΣΤΑΤΙΣΤΙΚΗ ΑΝΑΛΥΣΗ ΚΑΙ ΠΡΟΒΛΕΨΗ ΑΠΟΤΕΛΕΣΜΑΤΩΝ ΑΓΩΝΩΝ ΠΟΔΟΣΦΑΙΡΟΥ
Sechidis Konstantinos. Multi-label machine learning algorithms for automated annotation (Αλγόριθμοι μηχανικής μάθησης από δεδομένα πολλαπλών ετικετών για αυτόματο χαρακτηρισμό εικόνων).

2009–2010

Tsimirikas Nikolaos. ΣΥΣΤΗΜΑ ΔΙΑΧΕΙΡΙΣΗΣ ΑΚΑΔΗΜΑΙΚΟΥ ΒΙΟΓΡΑΦΙΚΟΥ
Filippidis Panagiotis Marios. GEO-GAS:ENA ΓΕΩΓΡΑΦΙΚΟ ΠΛΗΡΟΦΟΡΙΑΚΟ ΣΥΣΤΗΜΑ ΠΑΓΚΟΣΜΙΟΥ ΙΣΤΟΥ ΓΙΑ ΤΗΝ ΠΑΡΑΚΟΛΟΥΘΗΣΗ ΤΙΜΩΝ ΥΓΡΩΝ ΚΑΥΣΙΜΩΝ
Oikonomou Christos. ΔΙΑΜΟΙΡΑΣΜΟΣ ΓΝΩΣΗΣ ΜΕ ΓΕΩΓΡΑΦΙΚΗ ΠΛΗΡΟΦΟΡΙΑ ΜΕΣΩ ΚΙΝΗΤΟΥ ΤΗΛΕΦΩΝΟΥ
Ioannou Marios, Sakkas Georgios. ΑΛΓΟΡΙΘΜΟΙ ΤΑΞΙΝΟΜΗΣΗΣ ΔΕΔΟΜΕΝΩΝ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ
Saridis Georgios. ΙΕΡΑΡΧΙΚΗ ΤΑΞΙΝΟΜΗΣΗ ΔΕΔΟΜΕΝΩΝ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ

2008–2009

Saridis Chrysanthos. ΑΝΑΚΑΛΥΨΗ ΓΝΩΣΗΣ ΣΕ BLOGS
Fesalidis Georgios. ΣΥΣΤΗΜΑ ΠΑΡΑΓΩΓΗΣ ΣΥΣΤΑΣΕΩΝ ΕΙΔΗΣΕΩΝ
Spyromitros-Xioufis Eleftherios. ΑΝΑΠΤΥΞΗ ΑΛΓΟΡΙΘΜΩΝ ΤΑΞΙΝΟΜΗΣΗΣ ΔΕΔΟΜΕΝΩΝ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ
Traianos Georgios. ΕΠΙΛΟΓΗ ΧΑΡΑΚΤΗΡΙΣΤΙΚΩΝ ΣΕ ΔΕΔΟΜΕΝΑ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ

Administrative Work

Τμήματος
#	Από	Έως	Θέση Όργανο / Επιτροπή
8	2014	2016	Member, Επιτροπή προγράμματος σπουδών
3	2011	2012	Member, Επιτροπή οργάνωσης εκδηλώσεων για τα 20 χρόνια του τμήματος
4	2011	2012	Member, Επιτροπή επιλογής μεταπτυχιακών φοιτητών
5	2011	2012	Member, Επιτροπή κεντρικής βάσης βιβλιογραφικών δεδομένων του ΑΠΘ
6	2011	2012	Member, Επιτροπή επιλογής υποψηφίων διδακτόρων
7	2011	2012	Member, Επιτροπή αξιολόγησης προτάσεων προμήθειας εργαστηριακού εξοπλισμού στο πλαίσιο του διαγωνισμού 303
1	2010	2016	Member, Επιτροπή ιστότοπου
2	2009	2014	Member, Επιτροπή κατοχύρωσης μαθημάτων

Ιδρύματος
#	Από	Έως	Θέση Όργανο / Επιτροπή
1	2015	2016	Member, Επιτροπή Τύπου και Επικοινωνίας της ΣΘΕ

Publications

2017

Without Type

Papanikolaou Y, Tsoumakas Grigorios, Laliotis M, Markantonatos N, Vlachavas Ioannis (2017). Large-scale online semantic indexing of biomedical articles via an ensemble of multi-label classification models. Journal of Biomedical Semantics. vol.8 no.1.
Papanikolaou Yannis, Foulds J, Rubin T, Tsoumakas Grigorios (2017). Dense distributions from sparse samples: Improved gibbs sampling parameter estimators for LDA. Journal of Machine Learning Research. vol.18 p.1-58.

Without Type

Anagnostou A, Lagopoulos A, Tsoumakas Grigorios, Vlachavas Ioannis (2017). Combining inter-review learning-to-rank and intra-review incremental training for title and abstract screening in systematic reviews. CEUR Workshop Proceedings. CEUR Workshop Proceedings. Dublin, Ireland. vol.1866.
Lagopoulos A, Fachantidis A, Tsoumakas Grigorios (2017). Multi-label Modality Classification for Figures in Biomedical Literature. 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS). 30th International Symposium on Computer-Based Medical Systems (CBMS). Thessaloniki, Greece. vol.2017 p.79-84.
Mamalikidis I, Karapiperis C, Angelis Eleftherios, Tsoumakas Grigorios, Vlachavas Ioannis (2017). Machine learning methods for customer's payment acceptance prediction in an electricity distribution company. PCI 2017 Proceedings of the 21st Pan-Hellenic Conference on Informatics Article No. 6. 21st Pan-Hellenic Conference on Informatics. Larissa, Greece. vol. Part F132523.

2016

Without Type

Kavakiotis Ioannis, Xochelli A, Agathangelidis A, Tsoumakas Grigorios, Magklaveras Nikolaos, Stamatopoulos Κ, Ηadzidimitriou Α, Vlachavas Ioannis, Chouvarda Ioanna (2016). Integrating multiple immunogenetic data sources for feature extraction and mining somatic hypermutation patterns: the case of “towards analysis” in chronic lymphocytic leukaemia. BMC Bioinformatics. vol.17 no.5 p.175.
Spolaôr N, Monard M, Tsoumakas Grigorios, Lee H (2016). A systematic review of multi-label feature selection and a new method based on label construction. Neurocomputing. vol.180 p.3-15.
Spyromitros-Xioufis E, Tsoumakas Grigorios, Groves W, Vlachavas Ioannis (2016). Multi-target regression via input space expansion: treating targets as inputs. Machine Learning. vol.104 no.1 p.55-98.

2015

Without Type

Kavakiotis Ioannis, Triantafyllidis Alexandros, Ntelidou Despoina, Alexandri Panoraia, Megens Hendrik-Jan, Crooijmans Richard P. M. A, Groenen Martien A. M, Tsoumakas Grigorios, Vlachavas Ioannis (2015). TRES: Identification of Discriminatory and Informative SNPs from Population Genomic Data. Journal of Heredity.
Markatopoulou Fotini, Tsoumakas Grigorios, Vlachavas Ioannis (2015). Dynamic ensemble pruning based on multi-label classification. Neurocomputing. vol.150 part B p.501-512.

Without Type

Papagiannopoulou Christina, Tsoumakas Grigorios, Tsamardinos Ioannis (2015). Discovering and Exploiting Deterministic Label Relationships in Multi-Label Learning. KDD '15 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Syndey. p. 915-924.
Papagiannopoulou Eirini, Tsoumakas Grigorios, Bassiliades Nick (2015). On Discovering Deterministic Relationships in Multi-Label Learning via Linked Open Data. Proceedings of the 4th Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data co-located with 12th Extended Semantic Web Conference (ESWC 2015). Know@LOD 2015 Knowledge Discovery and Data Mining Meets Linked Open Data. Portoroz - Slovenia.
Samaras Patroklos, Fachantidis Anestis, Tsoumakas Grigorios, Vlachavas Ioannis (2015). A prediction model of passenger demand using AVL and APC data from a bus fleet. PCI '15 Proceedings of the 19th Panhellenic Conference on Informatics. 19th Panhellenic Conference on Informatics (PCI 2015). Athens - Greece. New York, NY, USA. ACM. p.129-134.

2014

Without Type

Spyromitros Xioufis Eleftherios, Symeon Papadopoulos, Kompatsiaris Yiannis, Tsoumakas Grigorios, Vlachavas Ioannis (2014). A Comprehensive Study Over VLAD and Product Quantization in Large-Scale Image Retrieval. IEEE Transactions on Multimedia. Vol. 16 no. 6 p.1713-1728.

Without Type

Arvanitidis Alexandros, Serafi Anna, Vakali Athina, Tsoumakas Grigorios (2014). Branty: A Social Media Ranking Tool for Brands. Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III. European Conference, ECML PKDD 2014. Nancy - France. Springer. p.432-435.
Kavakiotis Ioannis , Triantafyllidis Alexandros , Tsoumakas Grigorios, Vlachavas Ioannis (2014). Feature Evaluation Metrics for Population Genomic Data. Artificial Intelligence: Methods and Applications : 8th Hellenic Conference on AI, SETN 2014, Ioannina, Greece, May 15-17, 2014. Proceedings. 8th Hellenic Conference on AI, SETN 2014. Ioannina - Greece. vol.8445 p.436-441.
Papanikolaou Yannis , Dimitriadis Dimitrios , Tsoumakas Grigorios, Laliotis Manos , Markantonatos Nikos , Vlachavas Ioannis (2014). Ensemble Approaches for Large-Scale Multi-Label Classification and Question Answering in Biomedicine. Working Notes for CLEF 2014 Conference : CEUR Workshop Proceedings. Working Notes for CLEF 2014 Conference. Sheffield - UK.
Spolaor Newton, Monard Maria Carolina, Tsoumakas Grigorios, Lee Huei (2014). Label Construction for Multi-label Feature Selection. 2014 Brazilian Conference on Intelligent Systems. 2014 Brazilian Conference on Intelligent Systems (BRACIS). Sao Paulo, Brazil. IEEE. p.247-252.
Tsoumakas Grigorios, Papadopoulos Apostolos , Qian Weining , Vologiannidis Stavros , D’yakonov Alexander , Puurula Antti , Read Jesse , Švec Jan , Semenov Stanislav (2014). WISE 2014 Challenge: Multi-label Classification of Print Media Articles to Topics. Web Information Systems Engineering – WISE 2014 : 15th International Conference, Thessaloniki, Greece, October 12-14, 2014, Proceedings, Part II. WISE 2014 Challenge: Multi-label Classification of Print Media Articles to Topics. Thessaloniki - Greece. vol.8787 p.541-548.
Tsoumakas Grigorios, Spyromitros-Xioufis Eleftherios, Vrekou Aikaterini, Vlachavas Ioannis (2014). Multi-target Regression via Random Linear Target Combinations. Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III. European Conference, ECML PKDD 2014. Nancy - France. vol.8726 p.225-240.

Without Type

Kavakiotis Ioannis, Xochelli Aliki, Agathangelidis Andreas, Tsoumakas Grigorios, Magklaveras Nikolaos, Stamatopoulos Kostas, Hadzidimitriou Anastasia, Vlachavas Ioannis, Chouvarda Ioanna (2014). Integrating Multiple Immunogenetic Data Sources For Feature Extraction and Mining Mutation Patterns: The Case of Chronic Lymphocytic Leukemia Shared Mutations. Statistical Methods for Omics Data Integration and Analysis. Heraklion - Greece.
Tsoumakas Grigorios, Spyromitros-Xioufis Eleftherios, Vlachavas Ioannis (2014). Drawing Parallels between Multi-Label Classification and Multi-Target Regression. ECML PKDD 2014 Workshop on Multi-Target Prediction. Nancy - France.

Without Type

Τσουμάκας Γρηγόριος, Ρήγας Εμμανουήλ (2014). Αντικειμενοστρεφής προγραμματισμός. Thessaloniki, Greece. Aristotle University of Thessaloniki.

2013

Without Type

Fachantidis A, Partalas I, Tsoumakas G, Vlahavas I (2013). Transfering Task Models in Reinforcement Learning Agents. Neurocomputing.

Without Type

Briggs F, Yonghong Huang, Raich R, Eftaxias K, Zhong Lei, Cukierski W, Hadley S, Hadley A, Betts M, Fern X, Irvine J, et al (2013). The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment. Proceedings of 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP). 2013 IEEE International Workshop on Machine Learning for Signal Processing. Southampton - UK.
Spolaôr Newton, Tsoumakas Grigorios (2013). Evaluating Feature Selection Methods for Multi-Label Text Classication. Proceedings of the first Workshop on Bio-Medical Semantic Indexing and Question Answering, a Post-Conference Workshop of Conference and Labs of the Evaluation Forum 2013 (CLEF 2013). Workshop on Bio-Medical Semantic Indexing and Question Answering, a Post-Conference Workshop of Conference and Labs of the Evaluation Forum 2013. (Eds) Axel-Cyrille Ngonga Ngomo, George Paliouras. Valencia - Spain. Vol.1094.
Tsoumakas Grigorios, Laliotis Manos, Markantonatos Nikos, Vlachavas Ioannis (2013). Large-Scale Semantic Indexing Large-Scale Semantic Indexing of Biomedical Publications at BioASQ. Biomedical Semantic Indexing and Question Answering. 1st Workshop on Bio-Medical Semantic Indexing and Question Answering. Valencia - Spain. vol.1094.

2012

Without Type

Tsoumakas Grigorios, Zhang Min-Ling, Zhou Zhi-Hua (2012). Introduction to the special issue on learning from multi-label data. Machine Learning.

Without Type

Spyromitros-Xioufis E, Papadopoulos S, Kompatsiaris I, Tsoumakas G, Vlahavas I (2012). An empirical study on the combination of surf features with VLAD vectors for image search. 13th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS). Dublin, Ireland.

2011

Without Type

Trohidis K, Tsoumakas Grigorios, Kalliris Georgios, Vlachavas Ioannis (2011). Multi-label classification of music by emotion. EURASIP Journal on Audio, Speech, and Music Processing. Springer. vol.4 p.1-9.
Tsoumakas G, Katakis I, Vlahavas I (2011). Random k-Labelsets for Multi-Label Classification. IEEE Transactions on Knowledge & Data Engineering. vol.23 no.7 p.1079-1089.
Tsoumakas Grigorios, Spyromitros-Xioufis E, Vilcek J, Vlachavas Ioannis (2011). Mulan: a Java Library for Multi-Label Learning. Journal of Machine Learning Research. vol.12 p.2411-2414.

Without Type

Fachantidis A, Partalas I, Tsoumakas G, Vlahavas I (2011). Transferring Models in Hybrid Reinforcement Learning Agents. Proceedings 12th Conference on Engineering Application of Neural Networks (EANN’2011). Corfu, Greece.
Sechidis K, Tsoumakas G, Vlahavas I (2011). On the Stratification of Multi-Label Data. Proceedings 22nd European Conference on Machine Learning & Principles /15th Practice of Knowledge Discovery in Databases (ECML/PKDD’2011). Athens, Greece.
Spyromitros-Xioufis E, Tsoumakas G, Vlahavas I (2011). Multi-label Learning Approaches for Music Instrument Recognition. Proceedings 9th International Symposium on Methodologies for Intelligent Systems (ISMIS’2011). Warsaw, Poland.
Spyromitros-Xioufis E, Stachtiari E, Tsoumakas Grigorios, Vlachavas Ioannis (2011). A Hybrid Approach for Cold-start Recommendations of Videolectures. Proceedings ECML/PKDD 2011 Discovery Challenge Workshop. ECML-PKDD 2011 Discovery Challenge (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases). Athens, Greece.
Spyromitros-Xioufis E, Spiliopoulou M, Tsoumakas G, Vlahavas I (2011). Dealing with Concept Drift and Class Imbalance in Multi-label Stream Classification. Proceedings 22nd International Joint Conference on Artificial Intelligence (IJCAI’2011). Barcelona, Spain.
Spyromitros-Xioufis E, Sechidis K, Tsoumakas G, Vlahavas I (2011). MLKD's Participation at the CLEF 2011 Photo Annotation and Concept-Based Retrieval Tasks. ImageClef Lab of CLEF 2011 Conference on Multilingual and Multimodal Information Access Evaluation. Amsterdam, Netherlands.

Without Type

Βλαχάβας Ι, Τσουμάκας Γ (2011). Θεωρία και Συστήματα Λήψης Απόφασης του Τμήματος Πληροφορικής ΑΠΘ.

2010

Without Type

Katakis I, Tsoumakas G, Vlahavas I (2010). Tracking Recurring Contexts using Ensemble Classifiers: An Application to Email Filtering. Knowledge & Information Systems. vol.22 no.3 p.371-391.
Partalas I, Tsoumakas G, Vlahavas I (2010). An Ensemble Uncertainty Aware Measure for Directed Hill Climbing Ensemble Pruning. Machine Learning. vol.81 no.3 p.257-282.

Without Type

Tsoumakas G, Katakis I, Vlahavas I (2010). Mining Multi-Label Data. επιμ. Rokach L, Maimon O. Data Mining and Knowledge Discovery Handbook. Springer. p.667-285.

Without Type

Ioannou M, Sakkas G, Tsoumakas G, Vlahavas I (2010). Obtaining Bipartitions from Score Vectors for Multi-Label Classification. Proceedings 22nd International Conference on Tools with Artificial Intelligence (ICTAI’2010). Arras, France.
Markatopoulou F, Tsoumakas G, Vlahavas I (2010). Instance-Based Ensemble Pruning via Multi-Label Classification. Proceedings 22nd International Conference on Tools with Artificial Intelligence (ICTAI’2010). Arras, France.
Nasierding G, Kouzani A. Z, Tsoumakas G (2010). A Triple-Random Ensemble Classification Method for Mining Multi-label Data. Proceedings IEEE International Conference on Data Mining Workshops. Sydney, Australia. p.49-56.

Without Type

Tsoumakas Grigorios, Spyromitros-Xioufis Eleftherios, Vilcek Joseph, Vlachavas Ioannis (2010). Mulan: A Java Library for Multi-Label Learning. ICML 2010 Workshop on Machine Learning Open Source Software (MLOSS 2010). Haifa, Israel.

Without Type

Βράκας Δ, Τσουμάκας Γ (2010). The Robotics Primer. Εκδόσεις Κλειδάριθμος.

2009

Without Type

Katakis I, Tsoumakas G, Banos V, Bassiliades N, Vlahavas I (2009). An Adaptive Personalized News Dissemination System. Journal of Intelligent Information Systems. vol.32 no.2 p.191-212.
Partalas I, Tsoumakas G, Vlahavas I (2009). Pruning an Ensemble of Classifiers via Reinforcement Learning. Neurocomputing. vol.72 no.7-9 p.1900-1909.

Without Type

Tsoumakas G, Partalas I, Vlahavas I (2009). An Ensemble Pruning Primer. επιμ. Valentini G, Okun O. Studies in Computational Intelligence. Springer. vol.245 p.1-13.

Without Type

Iliadis L. (editor), Maglogiannis I. (editor), Tsoumakas G. (editor), Vlahavas I. (editor), Bramer M. (editor) (2009). Proceedings 5th IFIP Conference on Artificial Intelligence Applications & Innovations (AIAI'2009). Thessaloniki, Greece.

Without Type

Dimou A, Tsoumakas G, Mezaris V, Kompatsiaris I, Vlahavas I (2009). An Empirical Study of Multi-Label Learning Methods For Video Annotation. Proceedings 7th International Workshop on Content-Based Multimedia Indexing (CBMI’2009). Chania, Crete. Proceedings 7th International Workshop on Content-Based Multimedia Indexing ({CBMI}’2009), Chania, Crete.
Katakis I, Meditskos G, Tsoumakas G, Bassiliades N, Vlahavas I (2009). On the Combination of Textual and Semantic Descriptions for Automated Semantic Web Service Classification. Proceedings 5th IFIP Conference on Artificial Intelligence Applications & Innovations (AIAI’2009). vol.296 p.95-104.
Nasierding G, Tsoumakas G, Kouzani A. Z (2009). Clustering-Based Multi-Label Classification for Image Annotation and Retrieval. Proceedings IEEE International Conference on Systems, Man & Cybernetics (SMC’2009). San Antonio, TX.
Partalas I, Tsoumakas G, Tzevanidis K, Vlahavas I (2009). Transferring Experience in Reinforcement Learning through Task Decomposition. Proceedings 8th International Conference on Autonomous Agents & Multiagent Systems (AAMAS’2009). Budapest,Hungary. vol.2 p.1193-1194.
Tsoumakas G, Loza Mencia E, Katakis I, Park S.H, Fürnkranz J (2009). On the Combination of Two Decompositive Multi-Label Classification Methods. Proceedings ECML/PKDD Workshop on Preference Learning. Bled,Slovenia. p.114-129.
Tsoumakas G, Dimou A, Spyromitros-Xioufis E, Mezaris V, Kompatsiaris I, Vlahavas I (2009). Correlation-Based Pruning of Stacked Binary Relevance Models for Multi-Label Learning. Proceedings ECML}/PKDD Workshop on Learning from Multi-Label Data (MLD'2009). Bled,Slovenia. {MLD}’2009. p.101-116.

2008

Without Type

Bibi S, Tsoumakas G, Vlahavas I, Stamelos I (2008). Regression via Classification applied on Software Defect Prediction. Expert Systems with Applications. vol.34 no.3 p.2091-2101.
Hatzikos E, Tsoumakas G, Tzanis G, Bassiliades N, Vlahavas I (2008). An Empirical Study on Sea Water Quality Prediction. Knowledge Based Systems. vol.21 no.6 p.471-478.
Partalas I, Tsoumakas G, Hatzikos E, Vlahavas I (2008). Greedy Regression Ensemble Selection: Theory and an Application to Water Quality Prediction. Information Sciences. vol.178 no.20 p.3867-2879.

Without Type

Katakis I, Tsoumakas G, Vlahavas I (2008). Multilabel Text Classification for Automated Tag Suggestion. Proceedings ECML/PKDD Workshop on Discovery Challenge. Antwerp, Belgium.
Katakis I, Tsoumakas G, Vlahavas I (2008). An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams. Proceedings 18th European Conference on Artificial Intelligence (ECAI’2008). Patras, Greece.
Partalas I, Tsoumakas G, Vlahavas I (2008). Focused Ensemble Selection: a Diversity-Based Method for Greedy Ensemble Selection. Proceedings 18th European Conference on Artificial Intelligence (ECAI’2008). Patras, Greece.
Spyromitros-Xioufis E, Tsoumakas G, Vlahavas I (2008). An Empirical Study of Lazy Multilabel Classification Algorithms. Proceedings 5th Hellenic Conference on Artificial Intelligence (SETN’2008). Syros, Greece.
Trohidis K, Tsoumakas Grigorios, Kalliris Georgios, Vlachavas Ioannis (2008). Multi-Label Classification of Music Into Emotions. Proceedings of the 9th International Conference on Music Information Retrieval. 9th International Conference on Music Information Retrieval. Philadelphia, Pennsylvania USA. International Conference on Music Information Retrieval. p.325-330.
Tsoumakas G, Partalas I, Vlahavas I (2008). A Taxonomy and Short Review of Ensemble Selection. Proceedings ECAI’2008 Workshop on Supervised & Unsupervised Ensemble Methods (SUEMA’2008). p.41-46.
Tsoumakas G, Katakis I, Vlahavas I (2008). Effective and Efficient Multilabel Classification in Domains with Large Number of Labels. Proceedings ECML/PKDD Workshop on Mining Multidimensional Data (MMD'2008). Antwerp, Belgium.

2007

Without Type

Tsoumakas G, Vlahavas I (2007). A Scalable and Interoperable System for Classifier Sharing and Fusion. Expert Systems with Applications. vol.33 no.3 p.716-724.
Tsoumakas G, Katakis I (2007). Multi-Label Classification: an Overview. International Journal of Data Warehousing & Mining. vol.3 no.3 p.1-13.
Vrakas D, Tsoumakas G, Kokkoras F, Bassiliades N, Vlahavas I, Anagnostopoulos D (2007). PASER: a Curricula Synthesis System based on Automated Problem Solving. International Journal on Teaching & Case Studies. vol.1 no.1-2 p.159-170.

Without Type

Partalas I, Hatzikos E, Tsoumakas G, Vlahavas I (2007). Ensemble Selection for Water Quality Prediction. Proceedings 10th International Conference on Engineering Applications of Neural Networks (EANN’2007). Thessaloniki, Greece.
Tsoumakas G, Vlahavas I (2007). Random k-Labelsets: an Ensemble Method for Multilabel Classification. Proceedings 18th European Conference on Machine Learning (ECML’2007). Warsaw, Poland.

2006

Without Type

Katakis I, Tsoumakas G, Vlahavas I (2006). Email Mining: Emerging Techniques for Email Management. επιμ. Vakali A, Pallis G. Web Data Management Practices: Emerging Techniques and Technologies. Idea Group Publishing. p.219-240.

Without Type

Banos V, Katakis I, Bassiliades N, Tsoumakas G, Vlahavas I (2006). PersoNews: a Personalized News Reader Enhanced by Machine Learning and Semantic Filtering. Proceedings 5th International Conference on Ontologies, DataBases and Applications of Semantics (ODBASE’2006 – OTM’2006). Montpellier, France. p.975-982.
Bibi S, Tsoumakas G, Stamelos I, Vlahavas I (2006). Software Defect Prediction Using Regression via Classification. Proceedings 4th ACS/IEEE International Conference on Computer Systems and Applications(AICCSA’2006). Dubai, UAE. p.330-337.
Katakis I, Tsoumakas G, Vlahavas I (2006). Dynamic Feature Space and Incremental Feature Selection for the Classification of Textual Data Streams. Proceedings ECML/PKDD-International Workshop on Knowledge Discovery from Data Streams (IWKDDS’2006). Berlin, Germany. p.107-116.
Partalas I, Tsoumakas G, Katakis I, Vlahavas I (2006). Ensemble Pruning via Reinforcement Learning. Proceedings 4th Hellenic Conference on Artificial Intelligence (SETN’2006). Heraklion, Greece. p.301-310.
Tsoumakas G, Katakis I, Vlahavas I (2006). A Review of Multi-Label Classification Methods. Proceedings 2nd ADBIS Workshop on Data Mining and Knowledge Discovery (ADMKD’2006). {Thessaloniki, Greece. p.99-109.

2005

Without Type

Tsoumakas G, Angelis E, Vlahavas I (2005). Selective Fusion of Heterogeneous Classifiers. Intelligent Data Analysis. vol.9 no.6 p.511-525.
Vrakas D, Tsoumakas G, Bassiliades N, Vlahavas I (2005). HAPrc: an Automatically Configurable Planning System. AI Communications. vol.18 no.1 p.41–60.

Without Type

Tsoumakas G, Vlahavas I (2005). Distributed Data Mining. επιμ. Wang J. Encyclopedia of Data Warehousing and Mining. Idea Group Publishing.
Tsoumakas G, Meditskos G, Vrakas D, Bassiliades N, Vlahavas I (2005). Web Services for Adaptive Planning. επιμ. Castillo L, Borrajo D, Salido M. A, Oddi A. Planning,Scheduling and Constraint Satisfaction: from Theory to Practice. IOS Press. p.159-168.
Vrakas D, Tsoumakas G, Bassiliades N, Vlahavas I (2005). Machine Learning for Adaptive Planning. επιμ. Vlahavas I, Vrakas D. Intelligent Techniques for Planning. Idea Publishing Group. p.90-120.

Without Type

Diplaris S, Tsoumakas Grigorios, Mitkas Periklis, Vlachavas Ioannis (2005). Protein Classification with Multiple Algorithms. Advances in Informatics : Lecture Notes in Computer Science Proceedings. 10th Panhellenic Conference on Informatics (PCI’2005). Volos, Greece. vol.3746 p.448-456.
Katakis I, Tsoumakas G, Vlahavas I (2005). On the Utility of Incremental Feature Selection for the Classification of Textual Data Streams. Proceedings 10th Panhellenic Conference on Informatics (PCI’2005). Volos, Greece. p.338-348.

2004

Without Type

Tsoumakas G, Angelis E, Vlahavas I (2004). Clustering Classifiers for Knowledge Discovery from Physically Distributed Databases. Data and Knowledge Engineering. vol.49 no.3 p.223-242.

Without Type

Tsoumakas G, Bassiliades N, Vlahavas I (2004). A Knowledge-based Web Information System for the Federation of Distributed Classifiers. επιμ. Taniar D, Rahayu W. Web Information Systems. Idea Group Publishing. p.271-308.

Without Type

Tsoumakas G, Vrakas D, Bassiliades N, Vlahavas I (2004). Using the k Nearest Problems for Adaptive Multicriteria Planning. Proceedings 3rd Hellenic Conference on Artificial Intelligence (SETN’2004). Samos, Greece. p.132-141.
Tsoumakas G, Vrakas D, Bassiliades N, Vlahavas I (2004). Lazy Adaptive Multicriteria Planning. Proceedings 16th European Conference on Artificial Intelligence (ECAI’2004). Valencia, Spain. p.693-697.
Tsoumakas G, Meditskos G, Vrakas D, Bassiliades N, Vlahavas I (2004). Web Services for Adaptive Planning. Proceedings ECAI Workshop on Planning and Scheduling: Bridging Theory to Practice. Valencia, Spain.

2003

Without Type

Vrakas D, Tsoumakas G, Bassiliades N, Vlahavas I (2003). Learning Rules for Adaptive Planning. Proceedings 13th International Conference on Automated Planning and Scheduling (ICAPS’2003). Trento, Italy. p.82-91.

2002

Without Type

Tsoumakas G, Vlahavas I (2002). Effective Stacking of Distributed Classifiers. Proceedings 15th European Conference on Artificial Intelligence (ECAI’2002). Lyon, France. p.340-344.
Tsoumakas G, Vlahavas I (2002). Distributed Data Mining of Large Classifier Ensembles. Proceedings (Companion Volume) 2nd Hellenic Conference on Artificial Intelligence (SETN’2002). Thessaloniki, Greece. p.249-255.
Vrakas D, Tsoumakas G, Vlahavas I (2002). Towards adaptive Heuristic Planning through Machine Learning. Proceedings 21st Workshop of the UK Planning and Scheduling Special Interest Group (PlanSIG’2002). Delft, The Netherlands. p.12-21.

2001

Without Type

Tsoumakas G, Vlahavas I (2001). Land Evaluation - an Artificial Intelligence Approach. επιμ. Rautenstrauch C, Patig S. Environmental Information Systems in Industry and Public Administration. Idea Group Publishing. p.158-166.

Without Type

Tsoumakas G, Vlahavas I (2001). Fuzzy Meta-Learning: Preliminary Results. Proceedings UK Workshop on Computational Intelligence (UKCI’2001). Edinburgh, Scotland. p.43-48.

1999

Without Type

Tsoumakas Grigorios, Vlachavas Ioannis (1999). ISLE: An Intelligent System for Land Evaluation. ACAI '99 Workshop on Intelligent Techniques for Spatio-Temporal Data Analysis in Environmental Applications.

----

Without Type

Spyromitros-Xioufis Eleftherios, Tsoumakas Grigorios, Groves William, Vlachavas Ioannis. Multi-Target Regression via Input Space Expansion: Treating Targets as Inputs. Machine Learning.

Aggiornato: 2018-09-24

Μονάδα Διασφάλισης Ποιότητας Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης

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Curriculum Vitae

Grigorios Tsoumakas

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Courses of Winter semester of 2018–19 academic year

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Μονάδα Διασφάλισης Ποιότητας
Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης