Εκπαίδευση - Σπουδές
- Δίπλωμα, Τμήμα Ηλεκτρολόγων Μηχανικών και Τεχνολογίας Υπολογιστών, Πανεπιστήμιο Πατρών (2005).
- Διδακτορικό, Τμήμα Ηλεκτρολόγων Μηχανικών και Τεχνολογίας Υπολογιστών, Πανεπιστήμιο Πατρών (2012).
Ερευνητικά Ενδιαφέροντα
- Μηχανική Μάθηση
- Πολυτροπική Αλληλεπίδραση
- Επεξεργασία Πολυτροπικών Σημάτων
- Συναισθηματική Υπολογιστική
Διδασκαλία
- Μεγάλα Δεδομένα και Εξόρυξη Δεδομένων (Μεταπτυχιακό)
- Σημασιολογικός Ιστός (Μεταπτυχιακό)
- Ευφυή Συστήματα (Μεταπτυχιακό)
- Αρχιτεκτονική Υπολογιστών (3ο Εξάμηνο)
- Αποθήκες Δεδομένων και Εξόρυξη Γνώσης από Δεδομένα (8ο Εξάμηνο)
- Μηχανική Γνώσης και Συστήματα Γνώσης (9ο Εξάμηνο)
Δημοσιεύσεις σε Διεθνή Περιοδικά (Journals)
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Copyright and all rights therein are retained by authors or by other copyright holders.
All persons copying this information are expected to adhere to the terms and constraints invoked
by each author's copyright. In most cases, these works may not be reposted or mass reproduced
without the explicit permission of the copyright holder.
[1]
I. Mavridou, E. Balaguer-Ballester,
T. Kostoulas, E. Seiss, Affect recognition in immersive room-scale environments: A large-scale VR study with custom facial sensing at the Science Museum in London, IEEE Access, 2025, IEEE,
https://doi.org/10.1109/ACCESS.2025.3597...,
IF = 3.6[2]
M. Gnacek, N. Özhan, J. Broulidakis, I. Mavridou,
T. Kostoulas, . et al., Multi-modal physiological markers of arousal induced by CO inhalation in Virtual Reality, Information Fusion, 2025, Elsevier,
https://doi.org/10.1016/j.inffus.2025.10...,
IF = 15.5V. Danilatou, D. Dimopoulos,
T. Kostoulas, J. Douketis, Machine learning-based predictive models for patients with venous thromboembolism: A Systematic Review, Thrombosis and Haemostasis , 2024, Thieme,
https://doi.org/10.1055/a-2299-4758
Abstract
Background: Venous thromboembolism (VTE) is a chronic disorder with a significant health and economic burden. Several VTE-specific Clinical Prediction Models (CPMs) have been used to assist physicians in decision-making but have several limitations. This systematic review explores if machine learning (ML) can enhance CPMs by analyzing extensive patient data derived from electronic health records (EHRs). We aimed to explore ML-CPMs applications in VTE for risk stratification, outcome prediction, diagnosis, and treatment. Methods: Three databases were searched, PubMed, Google Scholar, and IEEE electronic library. Inclusion criteria focused on studies using structured data, excluding non-English publications, studies on non-humans, and certain data types such as natural language processing and image processing. Studies involving pregnant women, cancer patients, and children were also excluded. After excluding irrelevant studies, a total of 77 studies were included. Results: Most studies report that ML-CPMs outperformed traditional CPMs in terms of receiver operating area under the curve in the four clinical domains that were explored. However, the majority of the studies were retrospective, monocentric, and lacked detailed model architecture description and external validation, which are essential for quality audit. This review identified research gaps and highlighted challenges related to standardized reporting, reproducibility, and model comparison. Conclusion: ML-CPMs show promise in improving risk assessment and individualized treatment recommendations in VTE. Apparently, there is an urgent need for standardized reporting and methodology for ML models, external validation, prospective and real-world data studies, as well as interventional studies to evaluate the impact of AI in VTE.
[4]
M. Gnacek, L. Quintero, I. Mavridou, E. Balaguer-Ballester,
T. Kostoulas, C. Nduka, E. Seiss, AVDOS-VR: Affective Video Database with Physiological Signals and Continuous Ratings Collected Remotely in VR, VR. Sci Data, Vol. 11, No. 132, 2024, Nature Publishing Group,
https://doi.org/10.1038/s41597-024-02953...,
IF = 5.8[5]
M. Gnacek, J. Broulidakis, I. Mavridou, M. Fatoorechi, E. Seiss,
T. Kostoulas, E. Balaguer-Ballester, I. Kiprijanovska, C. Rosten, C. Nduka, EmteqPRO - Fully Integrated Biometric Sensing Array for Non-Invasive Biomedical Research in Virtual Reality, Frontiers in Virtual Reality, Vol. 3, 2022, Frontiers,
https://doi.org/10.3389/frvir.2022.78121...[6]
V. Danilatou, S. Nikolakakis, D. Antonakaki, C. Tsagkarakis, D. Mavroidis,
T. Kostoulas, S. Ioannidis, Outcome Prediction in Critically-Ill Patients with Venous Thromboembolism and/or Cancer Using Machine Learning Algorithms: External Validation and Comparison with Scoring Systems, International Journal of Molecular Sciences, Vol. 23, No. 13, pp. 25, 2022, MDPI,
https://doi.org/10.3390/ijms23137132,
IF = 6.208[7]
V. Novak,
T. Kostoulas, M. Muszynski, C. Cinel, A. Nijholt, Editorial: Harnessing Physiological Synchronization and Hyperscanning to Enhance Collaboration and Communication, Frontiers in Neuroergonomics, 2022, Frontiers, (to_appear),
https://doi.org/10.3389/fnrgo.2022.95608...[8]
P. Kostoulas, E. Meletis, K. Pateras, P. Eusebi,
T. Kostoulas, . et al., The epidemic volatility index, a novel early warning tool for identifying new waves in an epidemic, Scientific Reports, Vol. 11, No. 23775, pp. 10, 2021, Springer Nature,
https://doi.org/10.1038/s41598-021-02622...,
IF = 5.133[9]
C. Iliou,
T. Kostoulas, T. Tsikrika, V. Katos, S. Vrochidis, Y. Kompatsiaris, Detection of advanced web bots by combining web logs with mouse behavioural biometrics, Digital Threats: Research and Practice, Vol. 2, No. 3, pp. 26, 2021, ACM,
https://doi.org/10.1145/3447815[10]
M. Muszynski, L. Tian, C. Lai, J. D. Moore,
T. Kostoulas, P. Lombardo, T. Pun, G. Chanel, Recognizing Induced Emotions of Movie Audiences from Multimodal Information, IEEE Transactions on Affective Computing, Vol. 12, No. 1, pp. 16, 2019, IEEE,
https://doi.org/10.1109/TAFFC.2019.29020...,
IF = 10.506[11]
M. Muszynski,
T. Kostoulas, P. Lombardo, T. Pun, G. Chanel, Aesthetic Highlight Detection in Movies Based on Synchronization of Spectators’ Reactions, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Vol. 14, No. 3, pp. 23, 2018, ACM,
https://doi.org/10.1145/3175497[12]
G. Drosatos, F. Nalbadis, E. Arden-Close, V. Baines, E. Bolat, L. Vuillier,
T. Kostoulas, . et al., Enabling Responsible Online Gambling by Real-time Persuasive Technologies, Complex Systems Informatics and Modeling Quarterly, Vol. 99, No. 17, pp. 24, 2018,
https://doi.org/10.7250/csimq.2018-17.03[13]
T. Kostoulas, G. Chanel, M. Muszynski, P. Lombardo, T. Pun, Films, affective computing and aesthetic experience: Identifying emotional and aesthetic highlights from multimodal signals in a social setting, Frontiers in ICT, Vol. 4, pp. 11, 2017, Frontiers,
https://doi.org/10.3389/fict.2017.00011 [14]
S. Tárrega, A. B Fagundo, S. Jimenez-Murcia, .. .,
T. Kostoulas, . et al., Explicit and implicit emotional expression in bulimia nervosa in the acute state and after recovery, PLoS One, Vol. 9, No. 7, 2014,
https://doi.org/10.1371/journal.pone.010...[15]
T. Kostoulas, T. Winkler, T. Ganchev, N. Fakotakis, J. Köhler, The MoveOn database: motorcycle environment speech and noise database for command and control applications, Language resources and evaluation, Vol. 47, No. 2, pp. 24, 2013, Springer,
https://doi.org/10.1007/s10579-013-9222-...,
IF = 1.393 [16]
T. Kostoulas, I. Mporas, O. Kocsis, T. Ganchev, N. Katsaounos, J. J Santamaria, S. Jimenez-Murcia, F. Fernandez-Aranda, N. Fakotakis, Affective speech interface in serious games for supporting therapy of mental disorders, Expert Systems with Applications, Vol. 39, No. 12, pp. 8, 2012, Elsevier,
http://dx.doi.org/10.1016/j.eswa.2012.03...,
IF = 6.954 [17]
F. Fernandez-Aranda, S. Jimenez-Murcia, J. J Santamaria, .. .,
T. Kostoulas, . et al., Video games as a complementary therapy tool in mental disorders: PlayMancer, a European multicentre study, Journal of Mental Health, Vol. 21, No. 4, pp. 10, 2012, Taylor & Francis,
https://doi.org/10.3109/09638237.2012.66...[18]
A. Lazaridis, T. Ganchev,
T. Kostoulas, I. Mporas, N. Fakotakis, Phone duration modeling: overview of techniques and performance optimization via feature selection in the context of emotional speech, International Journal of Speech Technology, Vol. 13, No. 3, pp. 13, 2010, Springer US,
https://doi.org/10.1007/s10772-010-9077-...
Επιστημονικά Συνέδρια (Conferences)
Copyright Notice: This material is presented to ensure timely dissemination of scholarly and technical work.
Copyright and all rights therein are retained by authors or by other copyright holders.
All persons copying this information are expected to adhere to the terms and constraints invoked
by each author's copyright. In most cases, these works may not be reposted or mass reproduced
without the explicit permission of the copyright holder.
Βιβλία
Copyright Notice: This material is presented to ensure timely dissemination of scholarly and technical work.
Copyright and all rights therein are retained by authors or by other copyright holders.
All persons copying this information are expected to adhere to the terms and constraints invoked
by each author's copyright. In most cases, these works may not be reposted or mass reproduced
without the explicit permission of the copyright holder.
Κεφάλαια σε Βιβλία
Copyright Notice: This material is presented to ensure timely dissemination of scholarly and technical work.
Copyright and all rights therein are retained by authors or by other copyright holders.
All persons copying this information are expected to adhere to the terms and constraints invoked
by each author's copyright. In most cases, these works may not be reposted or mass reproduced
without the explicit permission of the copyright holder.
Επιμέλεια Πρακτικών Διεθνών Συνεδρίων
Copyright Notice: This material is presented to ensure timely dissemination of scholarly and technical work.
Copyright and all rights therein are retained by authors or by other copyright holders.
All persons copying this information are expected to adhere to the terms and constraints invoked
by each author's copyright. In most cases, these works may not be reposted or mass reproduced
without the explicit permission of the copyright holder.
