Stavros Sykiotis

According to our database, Stavros Sykiotis authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

OPT-NILM: An Iterative Prior-to-Full-Training Pruning Approach for Cost-Effective User Side Energy Disaggregation.

Sotirios Athanasoulias, Stavros Sykiotis, Maria Kaselimi, Anastasios Doulamis, Nikolaos Doulamis, Nikolaos Ipiotis

IEEE Trans. Consumer Electron., February, 2024

Community-driven Smart EV charging With Multi-Agent Deep Reinforcement Learning.

Stavros Sykiotis, Sotirios Athanasoulias, Nikolaos Temenos, Ioannis Rallis, Anastasios Doulamis, Nikolaos Doulamis

Proceedings of the International Joint Conference on Neural Networks, 2024

Segmentation of Remote Sensing Data with Missing Modalities Through Prototype Knowledge Distillation.

Nikolaos Bakalos, Stavros Sykiotis, Anastasios Temenos, Ioannis Rallis, Anastasios Doulamis, Nikolaos Doulamis

Proceedings of the IGARSS 2024, 2024

A Pre-Training Pruning Strategy for Enabling Lightweight Non-Intrusive Load Monitoring On Edge Devices.

Sotirios Athanasoulias, Stavros Sykiotis, Nikos Temenos, Anastasios Doulamis, Nikolaos Doulamis

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Performance-Aware NILM Model Optimization for Edge Deployment.

Stavros Sykiotis, Sotirios Athanasoulias, Maria Kaselimi, Anastasios D. Doulamis, Nikolaos Doulamis, Lina Stankovic, Vladimir Stankovic

IEEE Trans. Green Commun. Netw., September, 2023

Optimal Scheduling of Electric Vehicle Charging with Deep Reinforcement Learning considering End Users Flexibility.

Christoforos Menos-Aikateriniadis, Stavros Sykiotis, Pavlos S. Georgilakis

CoRR, 2023

An integrated framework for classifying mammograms according to BIRADS scale and breast tissue density.

Ioannis N. Tzortzis, Stavros Sykiotis, Ioannis Rallis, Nikolaos Doulamis

Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023

Continilm: A Continual Learning Scheme for Non-Intrusive Load Monitoring.

Stavros Sykiotis, Maria Kaselimi, Anastasios Doulamis, Nikolaos Doulamis

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

ELECTRIcity: An Efficient Transformer for Non-Intrusive Load Monitoring.

Stavros Sykiotis, Maria Kaselimi, Anastasios D. Doulamis, Nikolaos Doulamis

Sensors, 2022

Solar Power driven EV Charging Optimization with Deep Reinforcement Learning.

Stavros Sykiotis, Christoforos Menos-Aikateriniadis, Anastasios D. Doulamis, Nikolaos Doulamis, Pavlos S. Georgilakis

CoRR, 2022

A deep-learning based diagnostic framework for Breast Cancer.

Stavros Sykiotis, Ioannis N. Tzortzis, Aikaterini Angeli, Nikolaos Doulamis, Dimitrios Kalogeras

Proceedings of the PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022, 2022

A First Approach using Graph Neural Networks on Non-Intrusive-Load-Monitoring.

Sotirios Athanasoulias, Stavros Sykiotis, Maria Kaselimi, Eftychios Protopapadakis, Nikolaos Ipiotis

Proceedings of the PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022, 2022

An Efficient Deep Bidirectional Transformer Model for Energy Disaggregation.

Stavros Sykiotis, Maria Kaselimi, Anastasios D. Doulamis, Nikolaos Doulamis

Proceedings of the 30th European Signal Processing Conference, 2022