1

"Preventing Keratoconus through Eye Rubbing Activity Detection: A Machine Learning Approach", Nokas, George, and Theodore Kotsilieris, Electronics 12, no. 4: 1028, 2023.

https://doi.org/10.3390/electronics12041028

2

"Special Issue: Regularization Techniques for Machine Learning and Their Applications - Editorial", Kotsilieris, Theodore, Ioannis Anagnostopoulos, and Ioannis E. Livieris, Electronics 11, no. 4: 521, 2022

https://doi.org/10.3390/electronics11040521

3

“A dropout weight-constrained recurrent neural network model for forecasting the price of major cryptocurrencies and CCi30 index”, Livieris, I.E., Stavroyiannis, S., Pintelas, E., Kotsilieris T., Pintelas P. Evolving Systems (2021). https://doi.org/10.1007/s12530-020-09361-2

4

“An Efficient Agent Based Data Management Method of NoSQL Environments for Health Care Applications”, Kotsilieris, T. Healthcare 2021, 9, 322. https://doi.org/10.3390/healthcare9030322

5

"A Semantic Mixed Reality Framework for Shared Cultural Experiences Ecosystems", Costas Vassilakis, Konstantinos Kotis, Dimitris Spiliotopoulos, Dionisis Margaris, Vlasios Kasapakis, Christos-Nikolaos Anagnostopoulos, Georgios Santipantakis, George A. Vouros, Theodore Kotsilieris, Volha Petukhova, Andrei Malchanau, Ioanna Lykourentzou, Kaj Michael Helin, Artem Revenko, Nenad Gligoric, Boris Pokric, Big Data and Cognitive Computing 4(2):6, doi: https://doi.org/10.3390/bdcc4020006

6

"Predicting anxiety disorders and suicide tendency using machine learning: a review", Kotsilieris T, Pintelas E, Livieris IE, Pintelas P., Int. J. Medical Engineering and Informatics, Vol. 12, No. 6, 2020

7

 “Forecasting Stock Price Index Movement Using a Constrained Deep Neural Network Training Algorithm”, Livieris, I. E., Pintelas, E., Kotsilieris, T., Stavroyiannis S. & Pintelas, P., DOI: 10.3233/IDT-190035, Intelligent Decision Technologies, vol. 14, no. 3, pp. 313-323, 2020

8

"Weight-Constrained Neural Networks in Forecasting Tourist Volumes: A Case Study", Livieris, I. E., Pintelas, E., Kotsilieris, T., Stavroyiannis S. & Pintelas, P., (2019), Electronics, https://doi.org/10.3390/electronics8091005

9

"Improving the evaluation process of students’ performance utilizing a decision support software", Livieris, I. E., Kotsilieris, T., Tampakas, V., & Pintelas, P. (2019), Neural Computing and Applications. https://doi.org/10.1007/s00521-018-3756-y

10

"A Literature Review of User Satisfaction Models Towards Information System Success", Antonopoulou, M., & Kotsilieris, T. (2019), International Journal of E-Services and Mobile Applications (IJESMA), 11(2), 71-87. https://doi.org/10.4018/IJESMA.2019040105

11

"Predicting anxiety disorders and suicide tendency using machine learning: a review", Kotsilieris, T., Pintelas, E. , Livieris, I.E., Pintelas, P. (2019), International Journal of Medical Engineering and Informatics (IJMEI) (Accepted for publication)

12

"Decision Support Software for Forecasting Patient’s Length of Stay", Livieris, I.E., Kotsilieris, T., Dimopoulos, I., Pintelas, P. (2018), Algorithms, 11, 199. https://doi.org/10.3390/a11120199

13

"Assessment of Health Information Technology Interventions in Evidence-Based Medicine: A Systematic Review by Adopting a Methodological Evaluation Framework", Christopoulou, S., Kotsilieris, T., & Anagnostopoulos, I. (2018), Healthcare, 6(3), 109. https://doi.org/10.3390/healthcare6030109

14

“Evidence-based health and clinical informatics: a systematic review on randomized controlled trials”, S.C. Christopoulou, , T. Kotsilieris, & I. Anagnostopoulos, Health & Technology (2017). https://doi.org/10.1007/s12553-016-0170-2

15

“The impact of social networks on health care”, Kotsilieris, T., Pavlaki, A., Christopoulou, S. et al., Social Network Analysis and Mining (2017) 7: 18. https://doi.org/10.1007/s13278-017-0438-1

16

“Interconnecting distributed virtual worlds using Metabots: performance evaluation against the traditional client-server model” T. Kotsilieris, G. T. Karetsos, I. Anagnostopoulos, and N. A. Dimopoulou, (2015) Computer Animation & Virtual Worlds, 26: 549–561. https://doi.org/10.1002/cav.1623

17

“The evolution of e-Learning in the context of 3D Virtual Worlds”, T. Kotsiliers, N. Dimopoulou, Electronic Journal of e-Learning (EJEL), ISSN 1479-4403, vol. 11, issue 2, p.p. 147-167, 2013

18

“Prolonging the Lifetime of Two-Tiered Wireless Sensor Networks with Mobile Relays”, T. Kotsilieris, G. Karetsos, HINDAWI ISRN Sensor Networks, Volume 2013 (2013), Article ID 610796, http://dx.doi.org/10.1155/2013/610796, 7 pages

19

“Performance optimization of Network Management Applications based on Mobile Agents”, T. Kotsilieris, A. Michalas, S. Kalogeropoulos, G. Karetsos , M. Sidi and V. Loumos, Informatik Forum Journal, Special Issue on Mobile Agent Technology, December 2002, Band 14, No.2, p.p. 82 – 90.

20

“A Monitoring Information Base for Enhanced Collection of E-Commerce Statistical Indicators within an SNMP Framework” T. Kotsilieris, J. Anagnostopoulos, S. Kalogeropoulos, A. Michalas, V. Loumos and E. Kayafas, Italian Journal Statistical Applicata, Special Issue on New Methodologies and Applications in the E-Commerce Field, vol.14, no4, 2002.

21

“A reference model for conformance testing of T.120 multimedia conferencing protocols”, A. Michalas, T. Kotsilieris, S. Kalogeropoulos, V. Kollias, V. Loumos, E. Kayafas, Elsevier Computer Communications 24(3-4), 2001, p.p. 334-343.

1

“Investigating the Problem of Cryptocurrency Price Prediction: A Deep Learning Approach”, Pintelas, E., Livieris, I. E., Stavroyiannis S., Kotsilieris, T. & Pintelas, P. (2020), IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 584) , Springer

2

"DTCo: An ensemble SSL algorithm for X-rays classification", Livieris I., Kotsilieris T., Anagnostopoulos I., Tampakas V. (2018), Genedis 2018, Advances in Experimental Medicine and Biology, Springer

3

“DSS-PSP - A Decision Support Software for Evaluating Students’ Performance”, I.E. Livieris, K.Drakopoulou, T. Kotsilieris, V. Tampakas, P. Pintelas, In: Boracchi G., Iliadis L., Jayne C., Likas A. (eds) Engineering Applications of Neural Networks. EANN 2017, Communications in Computer and Information Science, vol 744, Springer, 2017, ISBN: 978-3-319-65171-2, https://doi.org/10.1007/978-3-319-65172-9_6

4

“vhMentor: An Ontology Supported Mobile Agent System for Pervasive Health Care Monitoring”, S.C. Christopoulou, T. Kotsilieris, I. Anagnostopoulos, CN. Anagnostopoulos, P. Mylonas. In: Vlamos P. (eds) GeNeDis 2016. Advances in Experimental Medicine and Biology, vol 989, Springer, Cham, 2017, ISBN: 978-3-319-57347-2, https://doi.org/10.1007/978-3-319-57348-9_5

5

“A prototype SNMP management framework for DiffServ Linux routers, its implementation and performance”, T. Kotsilieris, P. Zikos, E. Vlachos, S. Kalogeropoulos, A. Michalas, G. Karetsos and V. Loumos, Network Control and Engineering for QoS, Security and Mobility, Paris, France, pp.405-416, ISBN 1-4020-7268-6, October 2002, Kluwer Academic Publishers.

1

“A review of machine learning prediction methods for anxiety disorders”, Emmanuel G. Pintelas, Theodore Kotsilieris, Ioannis E. Livieris, and Panagiotis Pintelas. 2018. In Proceedings of the 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion (DSAI 2018). Association for Computing Machinery, New York, NY, USA, 8–15. DOI: https://doi.org/10.1145/3218585.3218587

2

“Predicting length of stay in hospitalized patients using SSL algorithms”, Ioannis E. Livieris, Ioannis F. Dimopoulos, Theodore Kotsilieris, and Panagiotis Pintelas. 2018. In Proceedings of the 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion (DSAI 2018). Association for Computing Machinery, New York, NY, USA, 16–22. DOI: https://doi.org/10.1145/3218585.3218588

3

“A health care monitoring system that uses ontology agents”, S. C. Christopoulou, T. Kotsilieris and I. Anagnostopoulos, 2016 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP), Thessaloniki, 2016, pp. 41-45. https://doi.org/10.1109/SMAP.2016.7753382

4

“A Web-GIS for socio-demographic and public health data mapping”, I. F. Dimopoulos, T. Kotsilieris, G. Mavridoglou, S. Giakoumatos, C. Economou, F. Droumbalis, D. Bosinis, D. Boudigaris, S. Pantazopoulos, 2016, 2nd International Conference ICODECON, Thessaloniki, Greece, 9-12 June 2016.

5

“Socio-demographic and health factors influencing to the number of admissions of elderly”, I. F. Dimopoulos, T. Kotsilieris, G. Mavridoglou, S. Giakoumatos, C. Economou, F. Droumbalis, D. Bosinis, D. Boudigaris, S. Pantazopoulos, 2016, 2nd International Conference ICODECON, Thessaloniki, Greece, 9-12 June 2016.

6

“Socio-demographic and health factors influencing the Hospital Length of Stay for Elderly Patients”, F.I. Dimopoulos, G. Mavridoglou, Th. Kotsilieris, S. Giakoumatos and C. Gnardellis, 2015, 4th International Conference for Quantitative and Qualitative Methodologies in the Economic and Administrative Science

7

“A web tool for an open and linked health ecosystem”, S. Christopoulou, Th. Kotsilieris, N. Dimopoulou, IEEE International Conference on e-Health and Bioengineering, EHB 2013, 21-23 November 2013, Iasi, Romania

8

“A review of 3D Virtual Worlds in Medical and Health education”, S. Christopoulou, Th. Kotsilieris, N. Dimopoulou, J. Papoutsis, IEEE International Conference on e-Health and Bioengineering, EHB 2013, 21-23 November 2013, Iasi, Romania

9

“Bank Loan Processes Modeling Using BPMN”, George Mpardis, Theodore Kotsilieris, DeSE 2010 - Developments in E-Systems Engineering, p.p. 239-242, 6-8 September 2010, London, UK.

10

"A mobile agent enabled wireless sensor network for river water monitoring", Theodore Kotsilieris, Georg Karetsos, accepted for publication at ICWMC 2008, July 27 – August 1 2008, Athens Greece, pp 346-351

11

"A decentralised data fusion system for river water monitoring – The Neda river case ", Theodore Kotsilieris, Georg Karetsos, Alkis Yiannakoulias, Vassilis Loumos,  4th International Conference on Information and Communication Technologies in Bio and Earth Sciences, HAICTA 2008, September 18-20, 2008, Athens, Greece, p.p. 17 – 22

12

“Theoretical evaluation of header compression schemes for IP based wireless access systems”, Alkiviadis Yiannakoulias¹, Theodore Kotsilieris², Stavros Stavroyiannis² 12^th European Wireless Conference, April 2006, Athens Greece.

13

“Performance Evaluation of Mobile Agent Technology for the Configuration and Auditing of SLSs in DiffServ Enabled IP Networks”, T. Kotsilieris, S. Kalogeropoulos, G. Karetsos, V. Loumos and E. Kayafas, Proceedings of the 13th International Symposium on Measurements for Research and Industry Applications, Athens, Greece, Sep. 29 - Oct. 1 2004, Vol. 1, pp. 380-385

14

“An Open E-Learning Framework within a High Availability Network Infrastructure”, T. Kotsilieris, S. Cotsakis, V. Loumos and E. Kayafas, Proceedings of International Conference on Automatics and Informatics, Sofia, Bulgaria, 6-8 October 2003, vol.1, p.p 25-28.

15

“An SNMP Enabled System for Enhanced Monitoring of E-Commerce Statistical Indicators”, Kotsilieris T., Anagnostopoulos J., Kalogeropoulos S., Michalas A., Loumos V. & Kayafas E., AIA 2003, IAESTED International Conference on Applied Informatics, February 10-13, 2003, Innsbruck, Austria, p.p. 446 – 449

16

“A Performance Evaluation of Mobile Agent technology in comparison to the Client/Server paradigm for QoS Configuration in DiffServ Domains”, Kalogeropoulos S., Kotsilieris T., Karetsos G., Michalas A., Loumos V. & Kayafas E., AIA 2003, IAESTED International Conference on Applied Informatics, February 10-13, 2003, Innsbruck, Austria, p.p. 577 – 582

17

“A Proposed Methodology to Improve the Performance of Agent-based Applications Through the Identification of the Optimum Visited Sequence”, Kalogeropoulos S., Kotsilieris T., Moshe Sidi, Hovav Gazit, Julio Tuch, AIA 2003, IAESTED International Conference on Applied Informatics, February 10-13, 2003, Innsbruck, Austria, p.p. 485 – 489

18

“An automatic quality assessment methodology for Abstract Test Suites”, S. Kalogeropoulos, T. Kotsilieris, A. Michalas, V. Loumos and E. Kayafas, Proceedings of 12th IMEKO TC4 International Symposium "Electrical Measurement and Instrumentation", Zagreb, Croatia, September 25-27, 2002, p.p 60 - 65.

20

“Enhancing the Performance of Mobile Agent based Network Management Applications”, A. Michalas, T. Kotsilieris, S. Kalogeropoulos, G. Karetsos , M. Sidi and V. Loumos, IEEE ISCC’01, Proceedings of the 6th IEEE Symposium on Computers and Communications, Hammamet, Tunisia, 3-5 July 2001, p.p. 432-437.

21

“Using Mobile Agent Technology for Configuration and Auditing of SLSs in IP based Networks” T. Kotsilieris, S. Kalogeropoulos, P. Fafali, A. Michalas and G. Karetsos, Proceedings of IEEE ICT 2001, Romania, June 4-7, 2001, vol.1, p.p. 536 - 541 (Conference Best Paper Award)

22

"TTCN Quality Metrics", S. Kalogeropoulos, T. Kotsilieris, A. Mihalas, V. Kollias, V. Loumos and E. Kayafas, Proceedings of 10th MELECON 2000, Cyprus, IEEE, May 29, 2000, vol.1, p.p. 140-143.