From Question to Queries. - Jozef Hvorecký; Martin Drlík (Int. J. Emerg. Technol. Learn., 2007)

Influence of Different Session Timeouts Thresholds on Results of Sequence Rule Analysis in Educational Data Mining. - Michal Munk; Martin Drlík (DICTAP (1), 2011)

Probability Modelling of Accesses to the Course Activities in the Web-Based Educational System. - Michal Munk; Martin Drlík; Marta Vrábelová (ICCSA (5), 2011)

Usage analysis of system for theses acquisition and plagiarism detection. - Martin Drlík; Michal Munk; Ján Skalka (WCIT, 2011)

Impact of Different Pre-Processing Tasks on Effective Identification of Users' Behavioral Patterns in Web-based Educational System. - Michal Munk; Martin Drlík (ICCS, 2011)

Knowledge discovery from university information systems for purposes of quality assurance implementation. - Ján Skalka; Martin Drlík; Peter Svec (EDUCON, 2013)

Pillar 3 and Modelling of Stakeholders' Behaviour at the Commercial Bank Website during the Recent Financial Crisis. - Michal Munk; Anna Pilkova; Jozef Kapusta; Peter Svec; Martin Drlík (ICCS, 2013)

Analysis of Differences between Expected and Observed Probability of Accesses to Web Pages. - Jozef Kapusta; Michal Munk; Martin Drlík (ICCCI, 2014)

Experimental Verification of the Dependence Between the Expected and Observed Visit Rate of Web Pages. - Jozef Kapusta; Michal Munk; Martin Drlík (ICIC (3), 2015)

Identification of Underestimated and Overestimated Web Pages Using PageRank and Web Usage Mining Methods. - Jozef Kapusta; Michal Munk; Martin Drlík (Trans. Comput. Collect. Intell., 2015)

Computer science learning activities based on experience. - Martin Cápay; Ján Skalka; Martin Drlík (EDUCON, 2017)

Conceptual Framework of Microlearning-Based Training Mobile Application for Improving Programming Skills. - Ján Skalka; Martin Drlík (IMCL, 2017)

Quantitative and Qualitative Evaluation of Sequence Patterns Found by Application of Different Educational Data Preprocessing Techniques. - Michal Munk; Martin Drlík; Lubomír Benko; Jaroslav Reichel (IEEE Access, 2017)

Identification of differences in university e-environment between selected EU and non-EU countries using knowledge mining methods: project IRNet case study. - Martin Drlík; Peter Svec; Jozef Kapusta; Michal Munk; Tatiana Noskova; Tatiana Pavlova; Olga Yakovleva; Nataliia Morze; Eugenia Smyrnova-Trybulska (Int. J. Web Based Communities, 2017)

Understanding of Time-Based Trends in Virtual Learning Environment Stakeholders' Behaviour. - Martin Drlík (ICL (1), 2018)

Educational Model for Improving Programming Skills Based on Conceptual Microlearning Framework. - Ján Skalka; Martin Drlík (ICL (1), 2018)

Website Structure Improvement Based on the Combination of Selected Web Structure and Web Usage Mining Methods. - Jozef Kapusta; Michal Munk; Martin Drlík (Int. J. Inf. Technol. Decis. Mak., 2018)

Automated Assessment in Learning and Teaching Programming Languages using Virtual Learning Environment. - Ján Skalka; Martin Drlík; Juraj Obonya (EDUCON, 2019)

Understanding Time-Based Trends in Stakeholders' Choice of Learning Activity Type Using Predictive Models. - Martin Drlík; Michal Munk (IEEE Access, 2019)

User Identification in the Process of Web Usage Data Preprocessing. - Jozef Kapusta; Michal Munk; Dominik Halvoník; Martin Drlík (Int. J. Emerg. Technol. Learn., 2019)

Architecture Proposal for Micro-Learning Application for Learning and Teaching Programming Courses. - Ján Skalka; Martin Drlík; Juraj Obonya; Martin Cápay (EDUCON, 2020)

Identification of Changes in VLE Stakeholders' Behavior Over Time Using Frequent Patterns Mining. - Martin Drlík; Michal Munk; Ján Skalka (IEEE Access, 2021)

Using of n-grams from morphological tags for fake news classification. - Jozef Kapusta; Martin Drlík; Michal Munk (PeerJ Comput. Sci., 2021)

Predicting Students at Risk of Early Dropping Out from Course Using Ensemble Classification Methods. - Janka Pecuchova; Martin Drlík (KES, 2023)

Development of Automatic Source Code Evaluation Tests Using Grey-Box Methods: A Programming Education Case Study. - Ján Skalka; Martin Drlík (IEEE Access, 2023)

Enhancing the Early Student Dropout Prediction Model Through Clustering Analysis of Students' Digital Traces. - Janka Pecuchova; Martin Drlík (IEEE Access, 2024)