An Efficient Deep Bidirectional Transformer Model for Energy Disaggregation. - Stavros Sykiotis; Maria Kaselimi; Anastasios D. Doulamis; Nikolaos Doulamis (EUSIPCO, 2022)

A First Approach using Graph Neural Networks on Non-Intrusive-Load-Monitoring. - Sotirios Athanasoulias; Stavros Sykiotis; Maria Kaselimi; Eftychios Protopapadakis; Nikolaos Ipiotis (PETRA, 2022)

A deep-learning based diagnostic framework for Breast Cancer. - Stavros Sykiotis; Ioannis N. Tzortzis; Aikaterini Angeli; Nikolaos Doulamis; Dimitrios Kalogeras (PETRA, 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)

ELECTRIcity: An Efficient Transformer for Non-Intrusive Load Monitoring. - Stavros Sykiotis; Maria Kaselimi; Anastasios D. Doulamis; Nikolaos Doulamis (Sensors, 2022)

Continilm: A Continual Learning Scheme for Non-Intrusive Load Monitoring. - Stavros Sykiotis; Maria Kaselimi; Anastasios Doulamis; Nikolaos Doulamis (ICASSP, 2023)

An integrated framework for classifying mammograms according to BIRADS scale and breast tissue density. - Ioannis N. Tzortzis; Stavros Sykiotis; Ioannis Rallis; Nikolaos Doulamis (PETRA, 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)

Performance-Aware NILM Model Optimization for Edge Deployment. - Stavros Sykiotis; Sotirios Athanasoulias; Maria Kaselimi; Anastasios D. Doulamis; Nikolaos Doulamis; Lina Stankovic; Vladimir Stankovic 001 (IEEE Trans. Green Commun. Netw., 2023)

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 (ICASSP Workshops, 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 (IGARSS, 2024)

Community-driven Smart EV charging With Multi-Agent Deep Reinforcement Learning. - Stavros Sykiotis; Sotirios Athanasoulias; Nikolaos Temenos; Ioannis Rallis; Anastasios Doulamis; Nikolaos Doulamis (IJCNN, 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., 2024)

Deep Learning Innovations for Energy Efficiency: Advances in Non-Intrusive Load Monitoring and EV Charging Optimization for a Sustainable Grid. - Stavros Sykiotis (CoRR, 2025)