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Theodore Kotsilieris
Theodore Kotsilieris
University of the Peloponnese - Department of Business Administration
Verified email at uop.gr - Homepage
Title
Cited by
Cited by
Year
The Evolution of e‑Learning in the Context of 3D Virtual Worlds
T Kotsilieris, N Dimopoulou
Electronic Journal of e-Learning 11 (2), 147‑167, 2013
622013
Investigating the problem of cryptocurrency price prediction: a deep learning approach
E Pintelas, IE Livieris, S Stavroyiannis, T Kotsilieris, P Pintelas
IFIP International conference on artificial intelligence applications and …, 2020
252020
A review of machine learning prediction methods for anxiety disorders
EG Pintelas, T Kotsilieris, IE Livieris, P Pintelas
Proceedings of the 8th International Conference on Software Development and …, 2018
192018
DSS-PSP-a decision support software for evaluating students’ performance
IE Livieris, K Drakopoulou, T Kotsilieris, V Tampakas, P Pintelas
International Conference on Engineering Applications of Neural Networks, 63-74, 2017
182017
A mobile agent enabled wireless sensor network for river water monitoring
T Kotsilieris, GT Karetsos
2008 The Fourth International Conference on Wireless and Mobile …, 2008
182008
The impact of social networks on health care
T Kotsilieris, A Pavlaki, S Christopoulou, I Anagnostopoulos
Social Network Analysis and Mining 7 (1), 1-6, 2017
172017
Improving the evaluation process of students’ performance utilizing a decision support software
IE Livieris, T Kotsilieris, V Tampakas, P Pintelas
Neural Computing and Applications 31 (6), 1683-1694, 2019
162019
Forecasting stock price index movement using a constrained deep neural network training algorithm
IE Livieris, T Kotsilieris, S Stavroyiannis, P Pintelas
Intelligent Decision Technologies 14 (3), 313-323, 2020
152020
Bank loan processes modelling using BPMN
G Mpardis, T Kotsilieris
2010 Developments in E-systems Engineering, 239-242, 2010
122010
Fundamental research questions and proposals on predicting cryptocurrency prices using DNNs
P Pintelas, T Kotsilieris, I Livieris, E Pintelas, S Stavroyiannis
TR20-01, 2020
112020
Reviewing machine learning techniques for predicting anxiety disorders.
T Kotsilieris, I Livieris, P Pintelas, E Pintelas
TR01-18, 2018
112018
Enhancing the performance of mobile agent based network management applications
A Michalas, T Kotsilieris, S Kalogeropoulos, G Karetsos, M Sidi, V Loumos
Proceedings. Sixth IEEE Symposium on Computers and Communications, 432-437, 2001
112001
Weight-constrained neural networks in forecasting tourist volumes: A case study
IE Livieris, E Pintelas, T Kotsilieris, S Stavroyiannis, P Pintelas
Electronics 8 (9), 1005, 2019
102019
A dropout weight-constrained recurrent neural network model for forecasting the price of major cryptocurrencies and CCi30 index
IE Livieris, S Stavroyiannis, E Pintelas, T Kotsilieris, P Pintelas
Evolving Systems, 1-16, 2021
92021
Assessment of health information technology interventions in evidence-based medicine: a systematic review by adopting a methodological evaluation framework
SC Christopoulou, T Kotsilieris, I Anagnostopoulos
Healthcare 6 (3), 109, 2018
92018
Predicting length of stay in hospitalized patients using SSL algorithms
IE Livieris, IF Dimopoulos, T Kotsilieris, P Pintelas
Proceedings of the 8th International Conference on Software Development and …, 2018
92018
Decision support software for forecasting patient’s length of stay
IE Livieris, T Kotsilieris, I Dimopoulos, P Pintelas
Algorithms 11 (12), 199, 2018
72018
Prolonging the Lifetime of Two-Tiered Wireless Sensor Networks with Mobile Relays
TC kotsilieris, GT Karetsos
ISRN Sensor Networks 2013, 2013
62013
A semantic mixed reality framework for shared cultural experiences ecosystems
C Vassilakis, K Kotis, D Spiliotopoulos, D Margaris, V Kasapakis, ...
Big Data and Cognitive Computing 4 (2), 6, 2020
52020
A literature review of user satisfaction models towards information system success
M Antonopoulou, T Kotsilieris
International Journal of E-Services and Mobile Applications (IJESMA) 11 (2 …, 2019
52019
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Articles 1–20