Teaching

Supervision

Ph.D. theses

  1. Zakarya Farou: Class Imbalance Learning Enhancing Classification Through Advanced Resampling Solutions. Eötvös Loránd University in Budapest, 2025. (supervisor)
  2. José Luis Seixas Junior: "Computer Vision Techniques for Decision Support in AgriFood Applications". Eötvös Loránd University in Budapest, 2025. (supervisor)
  3. Péter Kiss: Federated Learning of Artificial Neural Networks. Eötvös Loránd University in Budapest, 2022. (supervisor)
  4. Tsegaye Misikir Tashu: Semantic-based Automatic Short Essay Evaluation and Recommendation System. Eötvös Loránd University in Budapest, 2021. (supervisor)
  5. Štefan Pero: Educational Data Mining. Pavol Jozef Šafárik University in Košice, 2018. (supervisor)
  6. Lenka Pisková: Algorithms to Construct and Reduce the Size of Concept Lattices. Pavol Jozef Šafárik University in Košice, 2013. (co-supervisor)
  7. Thai-Nghe Nguyen: Predicting Student Performance in an Intelligent Tutoring System. University of Hildesheim, 2012. (co-supervisor)

M.Sc. theses

  1. Marc Lenz: Learning Multilingual Document Representations, Budapest, 2021. (co-supervisor)
  2. Tamás Kotán: Anomaly Detection Algorithms for Time Series Data. Budapest, 2021. (supervisor)
  3. Tamás Laczik: Comparison of Supervised Machine Learning Algorithms to Predict Chronic Graft-versus-Host Disease in Patients That Underwent Allogeneic Hematopoietic Stem Cell Transplantation. Budapest, 2021. (co-supervisor)
  4. Roland Krisztián Szabó: Analysis of delay patterns and correlations in railway traffic data. Budapest, 2020. (supervisor)
    1. 1st place at the Student's Scientific Conference of the Faculty of Informatics of Eötvös Loránd University in Budapest
  5. Feras Shamasna: Anomaly Detection in Time Series Data. Budapest, 2020. (supervisor)
  6. Gábor Szegedi: Algorithms and Models for Federated Machine Learning. Budapest, 2019. (supervisor)
  7. Yifei Wu: Grapevine Recognition on Images. Budapest, 2019. (supervisor)
  8. Imane Bouacida: Sentiment Analysis and Opinion Mining Techniques for Learning Analytics. Budapest, 2019. (supervisor)
  9. Gábor Koncz: Digitalization of Handwritten Digits using Neural Networks (Kézzel írt szavak digitalizálása neuronhálók segítségével). Budapest, 2018. (co-supervisor)
  10. Júlia Hermann: Visitor Behaviour Analysis from Anonymized Mobile Network Events. Budapest, 2018. (co-supervisor)
  11. Kristóf Morva: Real-time persona classification of visitor event streams with Tensorflow graphs. Budapest, 2018. (co-supervisor)
  12. Jehad Aldahdooh: Investigating the Importance of Meta-features for Classification Tasks in Meta-learning. Budapest, 2018. (supervisor)
  13. Vilmos Salamon: Content based recommendation in catalogues of multilingual documents. Budapest, 2018. (supervisor)
  14. Damiano Fossa: Data analysis of Telekom dataset: change point detection and planning. Budapest, 2017. (supervisor)
  15. Andrea Galloni: Data Analysis on Telecom Data Sets: Normal User Behaviours and Anomaly Detection Models. Budapest, 2017. (supervisor)
  16. Balázs Horváth: Recommendation Techniques for smart cities. Budapest, 2017. (supervisor)
  17. Dominik Imrich: Analyzis, implementation and testing of recommendation techniques in real environments. Košice, 2016. (supervisor)
  18. Štefan Bocko: Web-based data mining assistant. Košice, 2015. (supervisor)
    1. in the final of the "2015 Czech-Slovak ACM SPY" contest of the best IT master thesis at Czech and Slovak universities
    2. 2nd place at the "16th joint Czech and Slovak student conference on mathematics and informatics 2015"
  19. Tomáš Nguyen: Supervised recommendation in an intelligent tutoring system for programming (Odporúčanie s dozorom v inteligentnom systéme na výučbu programovania). Košice, 2015. (supervisor)
  20. Július Pál: Prediction of possible disease appearance in a population using data mining techniques (Predikcia možného výskytu ochorenia v rámci populácie použitím data mining techník). Košice, 2014. (supervisor)
  21. Tomáš Jakab: Relational classification (Relačná klasifikácia). Košice, 2014. (supervisor)
    1. "The most original contribution" award at the Student's Scientific Conference at Pavol Jozef Šafárik University 2014
    2. in the semi-final of the "2014 Czech-Slovak ACM SPY" contest of the best IT master thesis at Czech and Slovak universities
  22. Stephan Reller: Conception and Implementation of a Sentiment Analysis System. University of Hildesheim, 2012. (supervisor)
  23. Marek Daňko: Training information system with planning (Tréningový informačný systém s plánovaním). Košice, 2012. (supervisor)
  24. Maroš Andrejko: Outlier detection for monotone classification (Detekcia odľahlých hodnôt pre monotónnu klasifikáciu). Košice, 2012. (supervisor)
  25. Maroš Dzuriš: User preference learning in faceted browser (Učenie používateľových preferencií vo fazetovom prehliadači). Košice, 2012. (supervisor)
  26. Štefan Pero: Distributive data mining (Distributívne dolovanie dát). Košice, 2011 (supervisor)
    1. "Košice IT Valley" Award at the Student's Scientific Conference at Pavol Jozef Šafárik University 2011, given by representatives of the Košice IT Valley.
  27. Ľubomír Didnianský: The GoleMy System (Systém GoleMy). Košice, 2009. (supervisor)
  28. Ján Bella: Ordinal classification via ILP (Ordinálna klasifikácia pomocou ILP). Košice, 2006. (co-supervisor)
  29. Martin Kucirka : Classification of graded data via inductive logic programming (Klasifikácia stupňovaných dát pomocou induktivneho logického programovania). Košice, 2006. (co-supervisor)

Bc. theses

  1. Hussain Faisal: "Application for Precision Livestock Farming of Free-Range Pigs." Budapest, 2021. (supervisor)
  2. Gabriella Kicska: "Automatizált gépi tanulás optimalizálása." Budapest, 2020. (supervisor)
  3. Dávid Szabó: Decision making supporting with essay score prediction. Budapest, 2019. (supervisor)
  4. Ahmed Blej: Web Application for Grapevine Image Annotation. Budapest, 2019. (supervisor)
  5. Dominik Imrich: Pattern mining in the JEM-EUSO experiment (Pattern mining v experimente JEM-EUSO). Košice, 2014. (supervisor)
  6. Marek Daňko: Training information system with planning (Tréningový informačný systém s plánovaním). Košice, 2010. (supervisor)
  7. Maroš Andrejko: Categorization of supply points wrt. possible unauthorized electric energy consumption (Kategorizácia odberných miest vzhľadom na pravdepodobný výskyt neoprávneného odberu). Košice, 2010. (supervisor)
  8. Maroš Dzuriš: User preference learning in faceted browser (Učenie používateľových preferencií vo Fazetovom prehladači). Košice, 2010. (supervisor)
  9. Matej Lazár: Preference learning (Učenie preferencií). Košice, 2009. (supervisor)
  10. Adrián Krajník: Mining frequent sequences of events (Dolovanie frekventovaných sledov udalostí). Košice, 2009. (supervisor)
  11. Štefan Pero: Winston – data mining assistant (Winston – asistent dolovania dát). Košice, 2009. (supervisor)
    1. Award for the "Work with the best assumptions to practical use" at the Student Scientific Conference at Pavol Jozef Šafárik University 2009, given by representatives of IT companies in Košice.
  12. Marek Varchula: Intelligent data mining asistant (Inteligentný Asistent Dolovania Dát). Košice, 2008. (supervisor)
  13. Ing. Štefan Ontkovič: Supportive software for programming NC machines (Podporný softvér pre programovanie NC strojov). Košice, 2008. (supervisor)
  14. Tomáš Lacko: Least relative generalization in MySQL (Najmenšia relatívna generalizácia v MySQL). Košice, 2007. (supervisor)