Ilias K. Savvas, Professor of Computer Science, University of Thessaly
Ilias K. Savvas, Professor of Computer Science, University of Thessaly
Καθηγητής της Επιστήμης των Υπολογιστών
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Cited by
Cited by
A data warehouse approach for business intelligence
G Garani, A Chernov, I Savvas, M Butakova
2019 IEEE 28th International Conference on Enabling Technologies …, 2019
Integrated learning pathways in higher education: A framework enhanced with machine learning and semantics
O Iatrellis, IK Savvas, A Kameas, P Fitsilis
Education and Information Technologies 25, 3109-3129, 2020
Agent-based resource discovery and selection for dynamic grids
G Kakarontzas, IK Savvas
15th IEEE International Workshops on Enabling Technologies: Infrastructure …, 2006
Dynamic task scheduling in computing cluster environments
IK Savvas, MT Kechadi
Third International Symposium on Parallel and Distributed Computing/Third …, 2004
Parallelizing DBSCAN algorithm using MPI
IK Savvas, D Tselios
2016 IEEE 25th International Conference on Enabling Technologies …, 2016
A novel near-parallel version of k-means algorithm for n-dimensional data objects using mpi
IK Savvas, GN Sofianidou
International Journal of Grid and Utility Computing 7 (2), 80-91, 2016
Supporting the requirements prioritization process using social network analysis techniques
P Fitsilis, V Gerogiannis, L Anthopoulos, IK Savvas
2010 19th IEEE International Workshops on Enabling Technologies …, 2010
Detection of point anomalies in railway intelligent control system using fast clustering techniques
AV Chernov, IK Savvas, MA Butakova
International Conference on Intelligent Information Technologies for …, 2018
Dynamic task scheduling for irregular network topologies
MT Kechadi, IK Savvas
Parallel Computing 31 (7), 757-776, 2005
Increasing the quality and performance of n-dimensional point anomaly detection in traffic using pca and dbscan
IK Savvas, AV Chernov, MA Butakova, C Chaikalis
2018 26th Telecommunications Forum (TELFOR), 1-4, 2018
Parallelizing k-means algorithm for 1-d data using mpi
IK Savvas, GN Sofianidou
2014 IEEE 23rd International WETICE Conference, 179-184, 2014
Unlocking the Potential of Quantum Machine Learning to Advance Drug Discovery
M Avramouli, IK Savvas, A Vasilaki, G Garani
Electronics 12 (11), 2402, 2023
Quantum machine learning in drug discovery: Current state and challenges
M Avramouli, I Savvas, A Vasilaki, G Garani, A Xenakis
Proceedings of the 26th Pan-Hellenic Conference on Informatics, 394-401, 2022
Mining on the Cloud-K-means with MapReduce.
IK Savvas, MT Kechadi
CLOSER, 413-418, 2012
Evaluation and Comparison of Lattice-Based Cryptosystems for a Secure Quantum Computing Era
ME Sabani, IK Savvas, D Poulakis, G Garani, GC Makris
Electronics 12 (12), 2643, 2023
Reliability testing, noise and error correction of real quantum computing devices
IP Galanis, IK Savvas, AV Chernov, MA Butakova
Telfor Journal 13 (1), 41-46, 2021
Combining distributed and multi-core programming techniques to increase the performance of k-means algorithm
IK Savvas, D Tselios
2017 IEEE 26th International Conference on Enabling Technologies …, 2017
Multiple project portfolio scheduling using recurrent neural networks
DC Tselios, IK Savvas, MT Kechadi
International Journal of Simulation and Process Modelling 6 8 (4), 227-240, 2013
On the load distribution and performance of meta-computing systems
IK Savvas, T Kechadi
Proceedings of the Second international conference on Parallel and …, 2003
3GPP 5G V2X Scenarios: Performance of QoS Parameters Using Turbo Codes
D Kosmanos, C Chaikalis, IK Savvas
Telecom 3 (1), 174-194, 2022
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