Assessing the Impact of Virtualizing Physical Labs. - Evgenia Paxinou; Vasilis Zafeiropoulos; Athanasios Sypsas; Chairi Kiourt; Dimitris Kalles (CoRR, 2017)

From Analytics to Cognition: Expanding the Reach of Data in Learning. - Rozita Tsoni; Christos Samaras; Evgenia Paxinou; Christos T. Panagiotakopoulos; Vassilios S. Verykios (CSEDU (2), 2019)

XRLabs: Extended Reality Interactive Laboratories. - Chairi Kiourt; Dimitris Kalles; Aris S. Lalos; Nikolaos Papastamatiou; Panayotis Silitziris; Evgenia Paxinou; Helena G. Theodoropoulou; Vasilis Zafeiropoulos; Alexandros Papadopoulos; George Pavlidis (CSEDU (1), 2020)

Exploiting Extended Reality Technologies for Educational Microscopy. - Helena G. Theodoropoulou; Chairi Kiourt; Aris S. Lalos; Anestis Koutsoudis; Evgenia Paxinou; Dimitris Kalles; George Pavlidis (EuroVR, 2020)

An IRT-based approach to assess the learning gain of a virtual reality lab students' experience. - Evgenia Paxinou; Dimitrios Kalles; Christos T. Panagiotakopoulos; Argyro Sgourou; Vassilios S. Verykios (Intell. Decis. Technol., 2021)

Analyzing Sequence Data with Markov Chain Models in Scientific Experiments. - Evgenia Paxinou; Dimitrios Kalles; Christos T. Panagiotakopoulos; Vassilios S. Verykios (SN Comput. Sci., 2021)

A Distance Learning VR Technology Tool for Science Labs. - Evgenia Paxinou; Konstantinos Mitropoulos; Hariklia Tsalapatas; Dimitrios Kalles (IISA, 2022)

Centrality Metrics from Students' Discussion Fora at Distance Education. - Evgenia Paxinou; Evangelia Manousou; Vassilios S. Verykios; Dimitrios Kalles (IISA, 2023)

Community detection and social presence in students' discussion fora. - Evgenia Paxinou; Evangelia Manousou; Georgios Feretzakis; Vassilios S. Verykios (Intell. Decis. Technol., 2023)

Securing a Generative AI-Powered Healthcare Chatbot. - Georgios Feretzakis; Athanasios Anastasiou; Stavros Pitoglou; Evgenia Paxinou; Aris Gkoulalas-Divanis; Konstantinos Kalodanis; Ioannis Tsapelas; Dimitris Kalles; Vassilios S. Verykios (EFMI-STC, 2024)

Leveraging Cancer Therapy Peptide Data: A Case Study on Machine Learning Application in Accelerating Cancer Research. - Georgios Feretzakis; Athanasios Anastasiou; Stavros Pitoglou; Aikaterini Sakagianni; Zoi Rakopoulou; Konstantinos Kalodanis; Vasileios Kaldis; Evgenia Paxinou; Dimitris Kalles; Vassilios S. Verykios (EFMI-STC, 2024)

The Faculty Assignment Problem in Higher Education: A Shapley Value-Based Approach. - Vassilios S. Verykios; Evgenia Paxinou; Aris Gkoulalas-Divanis; Manolis Tzagarakis; Sotirios Kotsiantis; Georgios Feretzakis; Dimitris Kalles (AIAI (4), 2024)

Integrating Cluster Analysis and Predictive Modeling for COVID-19 Treatment Outcomes: A Machine Learning Framework. - Georgios Feretzakis; Aikaterini Sakagianni; Evgenia Paxinou; Vassilios S. Verykios (IISA, 2024)

Decoding Students' Paths in Moodle to Distill Significance of Learning Resources. - Evgenia Paxinou; Georgios Feretzakis; Rozita Tsoni; Dimitrios Karapiperis; Dimitrios Kalles; Vassilios S. Verykios (IISA, 2024)

An Automated Text Summarization Approach for Open-ended Responses in Student Online Surveys. - George Vorvilas; Despoina Pantazi; Evgenia Paxinou; Georgios Feretzakis; Dimitrios Kalles; Achilles Kameas; Nikos Karousos; Vassilios S. Verykios (IISA, 2024)

Comparative Analysis of Macular and Optic Disc Perfusion Pre and Post Silicone Oil Removal: A Machine Learning Approach. - Georgios Feretzakis; Christina Karakosta; Aris Gkoulalas-Divanis; Dimitrios Karapiperis; Andreas F. Gkontzis; Evgenia Paxinou; Christina Kourentis; Vassilios S. Verykios (MIE, 2024)

Exploiting Properties of Student Networks to Enhance Learning in Distance Education. - Rozita Tsoni; Evgenia Paxinou; Aris Gkoulalas-Divanis; Dimitrios Karapiperis; Dimitrios Kalles; Vassilios S. Verykios (Inf., 2024)

Tracing Student Activity Patterns in E-Learning Environments: Insights into Academic Performance. - Evgenia Paxinou; Georgios Feretzakis; Rozita Tsoni; Dimitrios Karapiperis; Dimitrios Kalles; Vassilios S. Verykios (Future Internet, 2024)

Mapping How Artificial Intelligence Blends with Healthcare: Insights from a Bibliometric Analysis. - Loukas Triantafyllopoulos; Evgenia Paxinou; Georgios Feretzakis; Dimitris Kalles; Vassilios S. Verykios (Future Internet, 2024)

Validating emergency department admission predictions based on local data through MIMIC-IV. - Francesca Meimeti; Loukas Triantafyllopoulos; Aikaterini Sakagianni; Vasileios Kaldis; Lazaros Tzelves; Nikolaos Theodorakis; Evgenia Paxinou; Georgios Feretzakis; Dimitris Kalles; Vassilios S. Verykios (Intell. Decis. Technol., 2025)