I. Savvas

发表

Experiments with IBM Quantum Devices for Random Number Generation and String Matching

I. K. Savvas, A. Chernov, M. Butakova, 2020, 2020 28th Telecommunications Forum (TELFOR).

High Performance Clustering Techniques: A Survey

A. Chernov, M. Butakova, I. Savvas, 2019 .

Quantum Machine Learning in Drug Discovery: Current State and Challenges

A. Vasilaki, G. Garani, I. Savvas, 2022, PCI.

A Data Warehouse Approach for Business Intelligence

Georgia Garani, Maria Butakova, Andrey Chernov, 2019, 2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE).

Quality Interplay in Regular vs. Irregular Grid Topologies

Dimitrios C. Tselios, Ilias K. Savvas, George Kakarontzas, 2008, 2008 IEEE 17th Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises.

On the load distribution and performance of meta-computing systems

M. Tahar Kechadi, Ilias K. Savvas, Mohand Tahar Kechadi, 2003, Second International Symposium on Parallel and Distributed Computing, 2003. Proceedings..

Dynamic task scheduling for irregular network topologies

M. Tahar Kechadi, Ilias K. Savvas, Mohand Tahar Kechadi, 2005, Parallel Comput..

Agents, clusters and components: A synergistic approach to the GSP

Ioannis Stamelos, Ilias K. Savvas, George Kakarontzas, 2011, Future Gener. Comput. Syst..

Integrated learning pathways in higher education: A framework enhanced with machine learning and semantics

Ilias K. Savvas, Achilles Kameas, Panos Fitsilis, 2020, Education and Information Technologies.

Increasing the Quality and Performance of N-Dimensional Point Anomaly Detection in Traffic Using PCA and DBSCAN

A. V. Chernov, M. A. Butakova, I. K. Savvas, 2018, 2018 26th Telecommunications Forum (TELFOR).

Agent-Based Resource Discovery and Selection for Dynamic Grids

Ilias K. Savvas, George Kakarontzas, George Kakarontzas, 2006, 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE'06).

Supporting the Requirements Prioritization Process Using Social Network Analysis Techniques

Ilias K. Savvas, Leonidas G. Anthopoulos, Vassilis C. Gerogiannis, 2010, 2010 19th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises.

Integrated Video and Acoustic Emission Data Fusion for Intelligent Decision Making in Material Surface Inspection System

I. K. Savvas, A. A. Alexandrov, A. Chernov, 2022, Sensors.

Unlocking the Potential of Quantum Machine Learning to Advance Drug Discovery

A. Vasilaki, G. Garani, I. Savvas, 2023, Electronics.

Evaluation and Comparison of Lattice-Based Cryptosystems for a Secure Quantum Computing Era

Dimitrios Poulakis, G. Garani, Georgios C. Makris, 2023, Electronics.

Quantum Key Distribution: Basic Protocols and Threats

Dimitrios Poulakis, Georgios C. Makris, I. Savvas, 2022, PCI.

A two-phase machine learning approach for predicting student outcomes

Panos Fitsilis, Omiros Iatrellis, Vassilis C. Gerogiannis, 2020, Education and Information Technologies.

A two-phase machine learning approach for predicting student outcomes

I. K. Savvas, V. Gerogiannis, P. Fitsilis, 2020, Education and Information Technologies.

Detection of Point Anomalies in Railway Intelligent Control System Using Fast Clustering Techniques

Ilias K. Savvas, Andrey V. Chernov, Maria A. Butakova, 2018, Advances in Intelligent Systems and Computing.

Synergy of Task Allocation Techniques for Large Computational Grids

Ilias K. Savvas, I. Savvas, 2009, 2009 18th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises.

Efficient Load Balancing on Irregular Network Topologies Using B+tree Structures

M. Tahar Kechadi, Ilias K. Savvas, Mohand Tahar Kechadi, 2007, Sixth International Symposium on Parallel and Distributed Computing (ISPDC'07).

Performance study of a dynamic task scheduling for heterogeneous distributed systems

M. Tahar Kechadi, Ilias K. Savvas, Mohand Tahar Kechadi, 2004, Oper. Res..

Safe Reinforcement Learning in Simulated Environment of Self-Driving Laboratory

A. Chernov, M. Butakova, Andrey V. Chernov, 2021, ESSE.

Understanding customers' behaviour of telecommunication companies increasing the efficiency of clustering techniques

D. Tselios, I. K. Savvas, C. Chaikalis, 2017, 2017 25th Telecommunication Forum (TELFOR).