A data warehouse approach for business intelligence G Garani, A Chernov, I Savvas, M Butakova 2019 IEEE 28th International Conference on Enabling Technologies …, 2019 | 43 | 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 | 42 | 2020 |
Agent-based resource discovery and selection for dynamic grids G Kakarontzas, IK Savvas 15th IEEE International Workshops on Enabling Technologies: Infrastructure …, 2006 | 32 | 2006 |
Dynamic task scheduling in computing cluster environments IK Savvas, MT Kechadi Third International Symposium on Parallel and Distributed Computing/Third …, 2004 | 30 | 2004 |
Parallelizing DBSCAN algorithm using MPI IK Savvas, D Tselios 2016 IEEE 25th International Conference on Enabling Technologies …, 2016 | 28 | 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 | 22 | 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 | 22 | 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 | 19 | 2018 |
Dynamic task scheduling for irregular network topologies MT Kechadi, IK Savvas Parallel Computing 31 (7), 757-776, 2005 | 15 | 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 | 14 | 2018 |
Parallelizing k-means algorithm for 1-d data using mpi IK Savvas, GN Sofianidou 2014 IEEE 23rd International WETICE Conference, 179-184, 2014 | 11 | 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 | 9 | 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 | 9 | 2022 |
Mining on the Cloud-K-means with MapReduce. IK Savvas, MT Kechadi CLOSER, 413-418, 2012 | 9 | 2012 |
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 | 7 | 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 | 7 | 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 | 7 | 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 | 7 | 2003 |
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 | 6 | 2023 |
3GPP 5G V2X Scenarios: Performance of QoS Parameters Using Turbo Codes D Kosmanos, C Chaikalis, IK Savvas Telecom 3 (1), 174-194, 2022 | 6 | 2022 |