On The Load Distribution and Performance of Meta-Computing Systems. - Ilias K. Savvas; M. Tahar Kechadi (ISPDC, 2003)

Performance Study of Scheduling Mechanisms for Peer-to-Peer Computing Environments. - Ilias K. Savvas; M. Tahar Kechadi (PPAM, 2003)

Dynamic Task Scheduling in Computing Cluster Environments. - Ilias K. Savvas; M. Tahar Kechadi (ISPDC/HeteroPar, 2004)

Performance study of a dynamic task scheduling for heterogeneous distributed systems. - Ilias K. Savvas; M. Tahar Kechadi (Oper. Res., 2004)

Dynamic task scheduling for irregular network topologies. - M. Tahar Kechadi; Ilias K. Savvas (Parallel Comput., 2005)

Agent-Based Resource Discovery and Selection for Dynamic Grids. - George Kakarontzas; Ilias K. Savvas (WETICE, 2006)

Efficient Load Balancing on Irregular Network Topologies Using B+tree Structures. - Ilias K. Savvas; M. Tahar Kechadi (ISPDC, 2007)

On Resource Clustering Techniques for Grid Resource Discovery. - Ilias K. Savvas; George Kakarontzas (WETICE, 2007)

Quality Interplay in Regular vs. Irregular Grid Topologies. - Ilias K. Savvas; Dimitrios C. Tselios; George Kakarontzas (WETICE, 2008)

Synergy of Task Allocation Techniques for Large Computational Grids. - Ilias K. Savvas (WETICE, 2009)

Supporting the Requirements Prioritization Process Using Social Network Analysis Techniques. - Panos Fitsilis; Vassilis C. Gerogiannis; Leonidas G. Anthopoulos; Ilias K. Savvas (WETICE, 2010)

Cooperative Knowledge Discovery & Data Mining CKDD. - M. Tahar Kechadi; Ilias K. Savvas (WETICE, 2010)

Cooperative Knowledge Discovery & Data Mining Track Report - CKDD 2011. - M. Tahar Kechadi; Ilias K. Savvas (WETICE, 2011)

Agents, clusters and components: A synergistic approach to the GSP. - George Kakarontzas; Ilias K. Savvas; Ioannis Stamelos (Future Gener. Comput. Syst., 2011)

Project Portfolio: A Job Scheduling Approach. - Dimitrios C. Tselios; Ilias K. Savvas; M. Tahar Kechadi (CISIS, 2012)

Mining on the Cloud - K-means with MapReduce. - Ilias K. Savvas; M. Tahar Kechadi (CLOSER, 2012)

The Weighted Tardiness as Objective Function of a RNN Model for the Job Scheduling Problem. - Dimitrios C. Tselios; Ilias K. Savvas; M. Tahar Kechadi (EMS, 2012)

CKDD Track Report: Cooperative Knowledge Discovery and Data Mining. - M. Tahar Kechadi; Ilias K. Savvas (WETICE, 2012)

RNN Modelling for Bi-Objective MPM Job Shop Scheduling Problem. - Dimitrios C. Tselios; Ilias K. Savvas; M. Tahar Kechadi (CICSyN, 2013)

CKDD Track Report. - Ilias K. Savvas; M. Tahar Kechadi (WETICE, 2013)

Multiple project portfolio scheduling using recurrent neural networks. - Dimitrios C. Tselios; Ilias K. Savvas; M. Tahar Kechadi (Int. J. Simul. Process. Model., 2013)

Parallelizing K-Means Algorithm for 1-D Data Using MPI. - Ilias K. Savvas; Georgia N. Sofianidou (WETICE, 2014)

Integrated intelligent method for solving multi-objective MPM job shop scheduling problem. - Dimitrios C. Tselios; Ilias K. Savvas; M. Tahar Kechadi (IISA, 2015)

Clustering EU's Countries According to I. Th. Mazi's Systemic Geopolitical Theory Using K-Means and MPI. - Ilias K. Savvas; Alekos Stogiannos; Ioannis Th. Mazis (WETICE, 2015)

Parallelizing DBSCaN Algorithm Using MPI. - Ilias K. Savvas; Dimitrios C. Tselios (WETICE, 2016)

A novel near-parallel version of k-means algorithm for n-dimensional data objects using MPI. - Ilias K. Savvas; Georgia N. Sofianidou (Int. J. Grid Util. Comput., 2016)

Phased Method for Solving Multi-Objective MPM Job Shop Scheduling Problem. - Dimitrios C. Tselios; Ilias K. Savvas; M. Tahar Kechadi (Int. J. Monit. Surveillance Technol. Res., 2016)

Combining Distributed and Multi-core Programming Techniques to Increase the Performance of K-Means Algorithm. - Ilias K. Savvas; Dimitrios C. Tselios (WETICE, 2017)

A study of comparative clustering of EU countries using the DBSCAN and k-means techniques within the theoretical framework of systemic geopolitical analysis. - Ilias K. Savvas; Alekos Stogiannos; Ioannis Th. Mazis (Int. J. Grid Util. Comput., 2017)

Data Warehouse Design for Security Applications Using Distributed Ontology-Based Knowledge Representation. - Maria A. Butakova; Andrey V. Chernov; Ilias K. Savvas; Georgia Garani (IDC, 2019)

A Data Warehouse Approach for Business Intelligence. - Georgia Garani; Andrey V. Chernov; Ilias K. Savvas; Maria Butakova (WETICE, 2019)

Distributed and multi-core version of k-means algorithm. - Ilias K. Savvas; Dimitrios C. Tselios; Georgia Garani (Int. J. Grid Util. Comput., 2019)

Integrated learning pathways in higher education: A framework enhanced with machine learning and semantics. - Omiros Iatrellis; Ilias K. Savvas; Achilles Kameas; Panos Fitsilis (Educ. Inf. Technol., 2020)

An Application of an Intelligent Data Warehouse for Modelling Spatiotemporal Objects. - Georgia Garani; Nunziato Cassavia; Ilias K. Savvas (Int. J. Big Data Intell. Appl., 2020)

Safe Reinforcement Learning in Simulated Environment of Self-Driving Laboratory. - Andrey V. Chernov; Ilias K. Savvas; Maria A. Butakova; Oleg O. Kartashov (ESSE, 2021)

Improving Multiclass Classification of Cybersecurity Breaches in Railway Infrastructure using Imbalanced Learning. - Aleksandr N. Nebaba; Ilias K. Savvas; Maria A. Butakova; Andrey V. Chernov; Petr S. Shevchuk (ESSE, 2021)

Experimental Approach of the Quantum Volume on Different Quantum Computing Devices. - Ilias P. Galanis; Ilias K. Savvas; Georgia Garani (IDC, 2021)

Quantum Machine Learning: Current State and Challenges. - Maria Avramouli; Ilias K. Savvas; Georgia Garani; Anna Vasilaki (PCI, 2021)

Implementation of Shor's Algorithm and Reliability of Quantum Computing Devices. - Maria Sabani; Ilias Galanis; Ilias K. Savvas; Georgia Garani (PCI, 2021)

A two-phase machine learning approach for predicting student outcomes. - Omiros Iatrellis; Ilias K. Savvas; Panos Fitsilis; Vassilis C. Gerogiannis (Educ. Inf. Technol., 2021)

Quantum Machine Learning in Drug Discovery: Current State and Challenges. - Maria Avramouli; Ilias K. Savvas; Anna Vasilaki; Georgia Garani; Apostolos Xenakis (PCI, 2022)

Quantum Key Distribution: Basic Protocols and Threats. - Maria Sabani; Ilias K. Savvas; Dimitrios Poulakis; Georgios C. Makris (PCI, 2022)

On the Effective Representation of Quantum Data for Classical Machine Learning Problems. - Ilias K. Savvas; Andrey V. Chernov; Oleg O. Kartashov; Grigory Beliavsky; Maria Butakova (PCI, 2022)

Developing a Domain-Specific Lexicon for the Greek Language. - Kyriakos Skoularikis; Ilias K. Savvas; Georgia Garani; George Kakarontzas (PCI, 2022)

Benchmarking Quantum Computers: A Challenging but Necessary Step towards Future. - Ilias K. Savvas; Ilias Galanis (ERCIM News, 2022)

Integrated Video and Acoustic Emission Data Fusion for Intelligent Decision Making in Material Surface Inspection System. - Andrey V. Chernov; Ilias K. Savvas; Alexander A. Alexandrov; Oleg O. Kartashov; Dmitry S. Polyanichenko; Maria A. Butakova; Alexander V. Soldatov (Sensors, 2022)

Quantum Serious Games to Boost Quantum Literacy within Computational Thinking 2.0 Framework. - Apostolos Xenakis; Maria Avramouli; Maria Sabani; Ilias K. Savvas; Costas Chaikalis; Kalliopi Theodoropoulou (EDUCON, 2023)

Enhancing the 5G V2X reliability using turbo coding for short frames. - Costas Chaikalis; Dimitrios Kosmanos; Konstantinos E. Anagnostou; Ilias K. Savvas; Dimitros Bargiotas (Int. J. Grid Util. Comput., 2023)

Quantum Legacy in the Hands of Secondary School Students to Implement Quantum Literacy Through Quantum Computing. - Aspasia V. Oikonomou; Ilias K. Savvas (EDUCON, 2025)

A cloud-based spatiotemporal data warehouse approach. - Georgia Garani; Nunziato Cassavia; Ilias K. Savvas (Int. J. Grid Util. Comput., 2025)