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Ilias K. Savvas
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2020 – today
- 2023
- [j13]Costas Chaikalis, Dimitrios Kosmanos, Konstantinos E. Anagnostou, Ilias K. Savvas, Dimitros Bargiotas:
Enhancing the 5G V2X reliability using turbo coding for short frames. Int. J. Grid Util. Comput. 14(5): 455-468 (2023) - [c34]Apostolos Xenakis, Maria Avramouli, Maria Sabani, Ilias K. Savvas, Costas Chaikalis, Kalliopi Theodoropoulou:
Quantum Serious Games to Boost Quantum Literacy within Computational Thinking 2.0 Framework. EDUCON 2023: 1-9 - 2022
- [j12]Andrey V. Chernov, Ilias K. Savvas, Alexander A. Alexandrov, Oleg O. Kartashov, Dmitry S. Polyanichenko, Maria A. Butakova, Alexander V. Soldatov:
Integrated Video and Acoustic Emission Data Fusion for Intelligent Decision Making in Material Surface Inspection System. Sensors 22(21): 8554 (2022) - [c33]Kyriakos Skoularikis, Ilias K. Savvas, Georgia Garani, George Kakarontzas:
Developing a Domain-Specific Lexicon for the Greek Language. PCI 2022: 273-278 - [c32]Ilias K. Savvas, Andrey V. Chernov, Oleg O. Kartashov, Grigory Beliavsky, Maria Butakova:
On the Effective Representation of Quantum Data for Classical Machine Learning Problems. PCI 2022: 379-382 - [c31]Maria Sabani, Ilias K. Savvas, Dimitrios Poulakis, Georgios C. Makris:
Quantum Key Distribution: Basic Protocols and Threats. PCI 2022: 383-388 - [c30]Maria Avramouli, Ilias K. Savvas, Anna Vasilaki, Georgia Garani, Apostolos Xenakis:
Quantum Machine Learning in Drug Discovery: Current State and Challenges. PCI 2022: 394-401 - [i2]Ilias K. Savvas, Ilias Galanis:
Benchmarking Quantum Computers: A Challenging but Necessary Step towards Future. ERCIM News 2022(128) (2022) - 2021
- [j11]Omiros Iatrellis, Ilias K. Savvas, Panos Fitsilis, Vassilis C. Gerogiannis:
A two-phase machine learning approach for predicting student outcomes. Educ. Inf. Technol. 26(1): 69-88 (2021) - [c29]Andrey V. Chernov, Ilias K. Savvas, Maria A. Butakova, Oleg O. Kartashov:
Safe Reinforcement Learning in Simulated Environment of Self-Driving Laboratory. ESSE 2021: 78-84 - [c28]Aleksandr N. Nebaba, Ilias K. Savvas, Maria A. Butakova, Andrey V. Chernov, Petr S. Shevchuk:
Improving Multiclass Classification of Cybersecurity Breaches in Railway Infrastructure using Imbalanced Learning. ESSE 2021: 100-105 - [c27]Ilias P. Galanis, Ilias K. Savvas, Georgia Garani:
Experimental Approach of the Quantum Volume on Different Quantum Computing Devices. IDC 2021: 467-476 - [c26]Maria Sabani, Ilias Galanis, Ilias K. Savvas, Georgia Garani:
Implementation of Shor's Algorithm and Reliability of Quantum Computing Devices. PCI 2021: 392-396 - [c25]Maria Avramouli, Ilias K. Savvas, Georgia Garani, Anna Vasilaki:
Quantum Machine Learning: Current State and Challenges. PCI 2021: 397-402 - 2020
- [j10]Omiros Iatrellis, Ilias K. Savvas, Achilles Kameas, Panos Fitsilis:
Integrated learning pathways in higher education: A framework enhanced with machine learning and semantics. Educ. Inf. Technol. 25(4): 3109-3129 (2020) - [j9]Georgia Garani, Nunziato Cassavia, Ilias K. Savvas:
An Application of an Intelligent Data Warehouse for Modelling Spatiotemporal Objects. Int. J. Big Data Intell. Appl. 1(1): 36-57 (2020)
2010 – 2019
- 2019
- [j8]Ilias K. Savvas, Dimitrios C. Tselios, Georgia Garani:
Distributed and multi-core version of k-means algorithm. Int. J. Grid Util. Comput. 10(3): 283-291 (2019) - [c24]Maria A. Butakova, Andrey V. Chernov, Ilias K. Savvas, Georgia Garani:
Data Warehouse Design for Security Applications Using Distributed Ontology-Based Knowledge Representation. IDC 2019: 140-145 - [c23]Georgia Garani, Andrey V. Chernov, Ilias K. Savvas, Maria Butakova:
A Data Warehouse Approach for Business Intelligence. WETICE 2019: 70-75 - [i1]Ilias K. Savvas, M. Tahar Kechadi:
Dynamic task scheduling in computing cluster environments. CoRR abs/1902.08040 (2019) - 2017
- [j7]Ilias K. Savvas, Alekos Stogiannos, Ioannis Th. Mazis:
A study of comparative clustering of EU countries using the DBSCAN and k-means techniques within the theoretical framework of systemic geopolitical analysis. Int. J. Grid Util. Comput. 8(2): 94-108 (2017) - [c22]Ilias K. Savvas, Dimitrios C. Tselios:
Combining Distributed and Multi-core Programming Techniques to Increase the Performance of K-Means Algorithm. WETICE 2017: 95-100 - [e1]Vasileios Vlachos, Ilias K. Savvas, Cleo Sgouropoulou, Vassilis P. Plagianakos, Christos Douligeris, Ioannis Voyiatzis, Vassilis Tampakas, George Soultis:
Proceedings of the 21st Pan-Hellenic Conference on Informatics, Larissa, Greece, September 28-30, 2017. ACM 2017, ISBN 978-1-4503-5355-7 [contents] - 2016
- [j6]Ilias K. Savvas, Georgia N. Sofianidou:
A novel near-parallel version of k-means algorithm for n-dimensional data objects using MPI. Int. J. Grid Util. Comput. 7(2): 80-91 (2016) - [j5]Dimitrios C. Tselios, Ilias K. Savvas, M. Tahar Kechadi:
Phased Method for Solving Multi-Objective MPM Job Shop Scheduling Problem. Int. J. Monit. Surveillance Technol. Res. 4(1): 42-61 (2016) - [c21]Ilias K. Savvas, Dimitrios C. Tselios:
Parallelizing DBSCaN Algorithm Using MPI. WETICE 2016: 77-82 - 2015
- [c20]Dimitrios C. Tselios, Ilias K. Savvas, M. Tahar Kechadi:
Integrated intelligent method for solving multi-objective MPM job shop scheduling problem. IISA 2015: 1-6 - [c19]Ilias K. Savvas, Alekos Stogiannos, Ioannis Th. Mazis:
Clustering EU's Countries According to I. Th. Mazi's Systemic Geopolitical Theory Using K-Means and MPI. WETICE 2015: 78-83 - 2014
- [c18]Ilias K. Savvas, Georgia N. Sofianidou:
Parallelizing K-Means Algorithm for 1-D Data Using MPI. WETICE 2014: 179-184 - 2013
- [j4]Dimitrios C. Tselios, Ilias K. Savvas, M. Tahar Kechadi:
Multiple project portfolio scheduling using recurrent neural networks. Int. J. Simul. Process. Model. 8(4): 227-240 (2013) - [c17]Dimitrios C. Tselios, Ilias K. Savvas, M. Tahar Kechadi:
RNN Modelling for Bi-Objective MPM Job Shop Scheduling Problem. CICSyN 2013: 13-18 - [c16]Ilias K. Savvas, M. Tahar Kechadi:
CKDD Track Report. WETICE 2013: 164-165 - 2012
- [c15]Dimitrios C. Tselios, Ilias K. Savvas, M. Tahar Kechadi:
Project Portfolio: A Job Scheduling Approach. CISIS 2012: 847-852 - [c14]Ilias K. Savvas, M. Tahar Kechadi:
Mining on the Cloud - K-means with MapReduce. CLOSER 2012: 413-418 - [c13]Dimitrios C. Tselios, Ilias K. Savvas, M. Tahar Kechadi:
The Weighted Tardiness as Objective Function of a RNN Model for the Job Scheduling Problem. EMS 2012: 15-20 - [c12]M. Tahar Kechadi, Ilias K. Savvas:
CKDD Track Report: Cooperative Knowledge Discovery and Data Mining. WETICE 2012: 197-198 - 2011
- [j3]George Kakarontzas, Ilias K. Savvas, Ioannis Stamelos:
Agents, clusters and components: A synergistic approach to the GSP. Future Gener. Comput. Syst. 27(8): 999-1010 (2011) - [c11]M. Tahar Kechadi, Ilias K. Savvas:
Cooperative Knowledge Discovery & Data Mining Track Report - CKDD 2011. WETICE 2011: 143-144 - 2010
- [c10]M. Tahar Kechadi, Ilias K. Savvas:
Cooperative Knowledge Discovery & Data Mining CKDD. WETICE 2010: 96-97 - [c9]Panos Fitsilis, Vassilis C. Gerogiannis, Leonidas G. Anthopoulos, Ilias K. Savvas:
Supporting the Requirements Prioritization Process Using Social Network Analysis Techniques. WETICE 2010: 110-115
2000 – 2009
- 2009
- [c8]Ilias K. Savvas:
Synergy of Task Allocation Techniques for Large Computational Grids. WETICE 2009: 171-176 - 2008
- [c7]Ilias K. Savvas, Dimitrios C. Tselios, George Kakarontzas:
Quality Interplay in Regular vs. Irregular Grid Topologies. WETICE 2008: 176-181 - 2007
- [c6]Ilias K. Savvas, M. Tahar Kechadi:
Efficient Load Balancing on Irregular Network Topologies Using B+tree Structures. ISPDC 2007: 185-192 - [c5]Ilias K. Savvas, George Kakarontzas:
On Resource Clustering Techniques for Grid Resource Discovery. WETICE 2007: 302-307 - 2006
- [c4]George Kakarontzas, Ilias K. Savvas:
Agent-Based Resource Discovery and Selection for Dynamic Grids. WETICE 2006: 195-200 - 2005
- [j2]M. Tahar Kechadi, Ilias K. Savvas:
Dynamic task scheduling for irregular network topologies. Parallel Comput. 31(7): 757-776 (2005) - 2004
- [j1]Ilias K. Savvas, M. Tahar Kechadi:
Performance study of a dynamic task scheduling for heterogeneous distributed systems. Oper. Res. 4(3): 291-303 (2004) - [c3]Ilias K. Savvas, M. Tahar Kechadi:
Dynamic Task Scheduling in Computing Cluster Environments. ISPDC/HeteroPar 2004: 372-379 - 2003
- [c2]Ilias K. Savvas, M. Tahar Kechadi:
On The Load Distribution and Performance of Meta-Computing Systems. ISPDC 2003: 222-229 - [c1]Ilias K. Savvas, M. Tahar Kechadi:
Performance Study of Scheduling Mechanisms for Peer-to-Peer Computing Environments. PPAM 2003: 954-962
Coauthor Index
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