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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
Reasearcher 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 2016–17 academic year

	ΤΜΗΜΑ ΠΛΗΡΟΦΟΡΙΚΗΣ
NCO-03-04	OBJECT ORIENTED PROGRAMMING
NIS-07-01	WEB INFORMATION SYSTEMS
NNA-06-04	MOBILE NETWORKS AND APPLICATIONS

Courses of Spring semester of 2016–17 academic year

	ΤΜΗΜΑ ΠΛΗΡΟΦΟΡΙΚΗΣ
NIS-06-01	DECISION SUPPORT THEORY AND SYSTEMS
NNA-06-04	MOBILE NETWORKS AND APPLICATIONS

	ΜΕΤΑΠΤΥΧΙΑΚΟ ΤΜΗΜΑΤΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ
IS25	ADVANCED MACHINE LEARNING AND KNOWLEDGE DISCOVERY

	ΜΕΤΑΠΤΥΧΙΑΚΟ ΠΡΟΓΡΑΜΜΑ ΣΠΟΥΔΩΝ "ΔΙΑΔΙΚΤΥΟ ΚΑΙ ΠΑΓΚΟΣΜΙΟΣ ΙΣΤΟΣ"
IWW-02-14	ADVANCED MACHINE LEARNING AND KNOWLEDGE DISCOVERY

Theses Supervised

Student Theses within AUTh

2016–2017

. ΚΑΤΗΓΟΡΙΟΠΟΙΗΣΗ ΕΙΚΟΝΩΝ ΕΠΙΣΤΗΜΟΝΙΚΩΝ ΔΗΜΟΣΙΕΥΣΕΩΝ ΒΙΟΪΑΤΡΙΚΗΣ.
. ΕΞΟΡΥΞΗ ΑΠΑΝΤΗΣΕΩΝ ΑΠΟ ΤΟΝ ΠΑΓΚΟΣΜΙΟ ΙΣΤΟ ΜΕ ΤΕΧΝΙΚΕΣ ΑΝΑΚΤΗΣΗΣ ΠΛΗΡΟΦΟΡΙΑΣ ΚΑΙ ΜΗΧΑΝΙΚΗΣ ΜΑΘΗΣΗΣ.
. ΣΥΓΚΡΙΣΗ ΤΕΧΝΙΚΩΝ ΜΗΧΑΝΙΚΗΣ ΜΑΘΗΣΗΣ ΓΙΑ ΑΝΑΚΤΗΣΗ ΕΓΓΡΑΦΩΝ.
. Εντοπισμός Εκφοβισμού στο YouTube
. HATEBUSTERS: ΣΥΣΤΗΜΑ ΑΝΑΚΤΗΣΗΣ ΚΑΙ ΑΝΑΦΟΡΑΣ ΡΗΤΟΡΙΚΗΣ ΜΙΣΟΥΣ ΣΤΟ YOUTUBE.

2015–2016

. Πρόβλεψη πωλήσεων ειδών ζαχαροπλαστείου
. Τεχικές μηχανικής μάθησης για ροές δεδομένων με πολλαπλές ετικέτες
. Κατηγοριοποίηση Ιατρικών Εικόνων
. Τεχνικές Μηχανικής Μάθησης για Πρόβλεψη Κατανάλωσης Φυσικού Αερίου
. Εξαγωγή ανοιχτών προκλήσεων από επιστημονικά άρθρα
. ΑΝΑΛΥΣΗ ΔΕΔΟΜΕΝΩΝ ΕΞΥΠΝΟΥ ΚΤΙΡΙΟΥ
. Ανάκτηση Εγγράφων Για Συστήματα Απάντησης Ερωτήσεων Βιοιατρικής
. ΤΕΧΝΙΚΕΣ ΜΗΧΑΝΙΚΗΣ ΜΑΘΗΣΗΣ ΓΙΑ ΣΗΜΑΣΙΟΛΟΓΙΚΟ ΧΑΡΑΚΤΗΡΙΣΜΟ ΑΝΑΦΟΡΩΝ ΣΕ ΕΠΙΣΤΗΜΟΝΙΚΕΣ ΔΗΜΟΣΙΕΥΣΕΙΣ.
. Ανίχνευση ρομπότ σε διαδικτυακές πύλες επιστημονικών δημοσιεύσεων
. ΒΕΛΤΙΩΣΗ ΤΟΥ ΙΣΤΟΤΟΠΟΥ ΤΟΥ ΤΜΗΜΑΤΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ ΤΟΥ ΑΠΘ
. Ανακάλυψη Πολιτιστικού Περιεχομένου Βάσει Τοποθεσίας

2014–2015

. ΣΥΣΤΗΜΑ ΥΠΟΣΤΗΡΙΞΗΣ ΑΠΟΦΑΣΕΩΝ ΠΡΟΜΗΘΕΙΑΣ ΑΕΡΙΟΥ

2013–2014

. ΑΝΑΚΑΤΑΣΚΕΥΗ ΤΟΥ ΙΣΤΟΤΟΠΟΥ ΤΟΥ ΤΜΗΜΑΤΟΣ ΙΤΑΛΙΚΗΣ ΓΛΩΣΣΑΣ ΚΑΙ ΦΙΛΟΛΟΓΙΑΣ ΑΠΘ
. ΣΥΛΛΟΓΙΚΗ ΤΑΞΙΝΟΜΗΣΗ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ
. ΣΥΣΤΗΜΑ ΑΠΑΝΤΗΣΗΣ ΕΡΩΤΗΣΕΩΝ ΒΙΟΪΑΤΡΙΚΗΣ
. ΜΕΤΑ-ΑΝΑΛΥΣΗ ΔΕΔΟΜΕΝΩΝ ΑΓΓΕΙΟΧΕΙΡΟΥΡΓΙΚΗΣ

2012–2013

. ΤΕΧΝΙΚΕΣ ΔΕΙΓΜΑΤΟΛΗΨΙΑΣ ΣΕ ΔΕΔΟΜΕΝΑ ΠΟΛΛΑΠΛΩΝ ΕΠΙΚΕΤΩΝ
. ΕΥΡΕΣΗ ΚΑΙ ΑΞΙΟΠΟΙΗΣΗ ΠΕΡΙΟΡΙΣΜΩΝ ΜΕΤΑΞΥ ΕΠΙΚΕΤΩΝ ΣΕ ΔΕΔΟΜΕΝΑ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ
. ΤΕΧΝΙΚΕΣ ΠΑΛΙΝΔΡΟΜΗΣΗΣ ΓΙΑ ΠΟΛΛΑΠΛΟΥΣ ΣΤΟΧΟΥΣ
. Μάθηση Μεγάλης Κλιμακας από Δεδομένα Πολλαπλών Ετικετών
. ΕΠΙΧΕΙΡΗΜΑΤΙΚΗ ΕΥΦΥΙΑ ΣΤΗ ΔΙΑΧΕΙΡΙΣΗ ΖΩΙΚΗΣ ΠΑΡΑΓΩΓΗΣ
. ΑΝΑΠΤΥΞΗ ΑΛΓΟΡΙΘΜΩΝ ΒΑΘΙΑΣ ΜΑΘΗΣΗΣ ΓΙΑ ΔΕΔΟΜΕΝΑ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ

2011–2012

. ΤΕΧΝΙΚΕΣ ΜΗΧΑΝΙΚΗΣ ΜΑΘΗΣΗΣ ΓΙΑ ΧΑΡΑΚΤΗΡΙΣΜΟ ΜΟΥΣΙΚΗΣ ΒΑΣΙΣΜΕΝΟ ΣΕ ΣΤΙΧΟΥΣ
. Διαδικτυακή Εφαρμογή Αναζήτησης Εικόνων
. ΑΛΓΟΡΙΘΜΟΙ ΜΗΧΑΝΙΚΗΣ ΜΑΘΗΣΗΣ ΣΕ ΠΟΛΥΤΜΗΜΑΤΙΚΑ ΔΕΔΟΜΕΝΑ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ
. Σύστημα ανάκτησης εικόνων
. ΣΥΓΚΡΙΤΙΚΗ ΠΕΙΡΑΜΑΤΙΚΗ ΑΞΙΟΛΟΓΗΣΗ ΑΛΓΟΡΙΘΜΩΝ ΜΑΘΗΣΗΣ ΑΠΟ ΔΕΔΟΜΕΝΑ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ ΣΤΗΝ ΑΥΤΟΜΑΤΗ ΣΗΜΑΝΣΗ ΜΟΥΣΙΚΗΣ

2010–2011

. ΣΥΣΤΗΜΑ ΔΙΑΧΕΙΡΙΣΗΣ ΔΙΑΔΙΚΤΥΑΚΗΣ ΦΗΜΗΣ
. ΣΤΑΤΙΣΤΙΚΗ ΑΝΑΛΥΣΗ ΚΑΙ ΠΡΟΒΛΕΨΗ ΑΠΟΤΕΛΕΣΜΑΤΩΝ ΑΓΩΝΩΝ ΠΟΔΟΣΦΑΙΡΟΥ
. ΚΛΑΔΕΜΑ ΟΜΑΔΑΣ ΚΑΤΑ ΠΕΡΙΠΤΩΣΗ ΜΕΣΩ ΤΑΞΙΝΟΜΗΣΗΣ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ
. ΕΞΟΡΥΞΗ ΣΥΝΑΙΣΘΗΜΑΤΟΣ ΑΠΟ ΚΟΙΝΩΝΙΚΑ ΜΕΣΑ ΗΛΕΚΤΡΟΝΙΚΗΣ ΔΙΑΚΥΒΕΡΝΗΣΗΣ
. ΑΝΑΠΤΥΞΗ ΑΛΓΟΡΙΘΜΩΝ ΤΑΞΙΝΟΜΗΣΗΣ ΔΕΔΟΜΕΝΩΝ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ ΜΕ ΧΡΗΣΗ ΔΙΚΤΥΩΝ BAYES
. Multi-label machine learning algorithms for automated annotation (Αλγόριθμοι μηχανικής μάθησης από δεδομένα πολλαπλών ετικετών για αυτόματο χαρακτηρισμό εικόνων).
. 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.

In progress

. Εξόρυξη γνώσης από κείμενα
. Ανακάλυψη γνώσης απο συνδεδεμένα ανοικτά δεδομένα
. Εξόρυξη Γνώσης απο τη Χρήση του Παγκόσμιου Ιστού
. Εξόρυξη γνώσης από κείμενα και επεξεργασιά φυσικής γλώσσας
. Ευφυές σύστημα πρόβλεψης κατανάλωσης αερίου
. Ανάλυση ψηφιακής μαστογραφίας για την έγκαιρη ανίχνευση του καρκίνου του μαστού με χρήση τεχνικών μηχανικής μάθησης
. Ευφυές σύστημα πρόβλεψης κατανάλωσης ηλεκτρικής ενέργειας

2009–2010

. ΣΥΣΤΗΜΑ ΔΙΑΧΕΙΡΙΣΗΣ ΑΚΑΔΗΜΑΙΚΟΥ ΒΙΟΓΡΑΦΙΚΟΥ
. ΙΕΡΑΡΧΙΚΗ ΤΑΞΙΝΟΜΗΣΗ ΔΕΔΟΜΕΝΩΝ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ
. GEO-GAS:ENA ΓΕΩΓΡΑΦΙΚΟ ΠΛΗΡΟΦΟΡΙΑΚΟ ΣΥΣΤΗΜΑ ΠΑΓΚΟΣΜΙΟΥ ΙΣΤΟΥ ΓΙΑ ΤΗΝ ΠΑΡΑΚΟΛΟΥΘΗΣΗ ΤΙΜΩΝ ΥΓΡΩΝ ΚΑΥΣΙΜΩΝ
. ΔΙΑΜΟΙΡΑΣΜΟΣ ΓΝΩΣΗΣ ΜΕ ΓΕΩΓΡΑΦΙΚΗ ΠΛΗΡΟΦΟΡΙΑ ΜΕΣΩ ΚΙΝΗΤΟΥ ΤΗΛΕΦΩΝΟΥ
. ΑΛΓΟΡΙΘΜΟΙ ΤΑΞΙΝΟΜΗΣΗΣ ΔΕΔΟΜΕΝΩΝ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ

2008–2009

. ΑΝΑΚΑΛΥΨΗ ΓΝΩΣΗΣ ΣΕ BLOGS
. ΑΝΑΠΤΥΞΗ ΑΛΓΟΡΙΘΜΩΝ ΤΑΞΙΝΟΜΗΣΗΣ ΔΕΔΟΜΕΝΩΝ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ
. ΕΠΙΛΟΓΗ ΧΑΡΑΚΤΗΡΙΣΤΙΚΩΝ ΣΕ ΔΕΔΟΜΕΝΑ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ
. ΣΥΣΤΗΜΑ ΠΑΡΑΓΩΓΗΣ ΣΥΣΤΑΣΕΩΝ ΕΙΔΗΣΕΩΝ

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

2016

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.

2015

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.
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

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.
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.
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.

2013

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

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

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

2010

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

2009

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.
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.
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.
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

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.
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

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.
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.

2005

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.
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.
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

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.
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.
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.

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

2006

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.
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.

2001

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

2003

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

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.

1999

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.

Mis à jour: 2017-07-10

Structure QualitéUniversité Aristote de Thessaloniki

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Grigorios Tsoumakas

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Structure Qualité
Université Aristote de Thessaloniki