Nikolaos Pavlidis

21 papers Journal 15Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Evaluating the Defense Potential of Machine Unlearning against Membership Inference Attacks. CoRR Aristeidis Sidiropoulos, Christos Chrysanthos Nikolaidis, Theodoros Tsiolakis, Nikolaos Pavlidis, Vasilis Perifanis, Pavlos S. Efraimidis
2025	J	`jnl`	Evaluation of Bio-Inspired Models under Different Learning Settings for Energy Efficiency in Network Traffic Prediction. Int. J. Neural Syst. Theodoros Tsiolakis, Nikolaos Pavlidis, Vasileios Perifanis, Pavlos S. Efraimidis
2025	J	`jnl`	Federated Learning for privacy-Friendly Health Apps: A Case Study on Ovulation Tracking. J. Sens. Actuator Networks Nikolaos Pavlidis, Andreas Sendros, Theodoros Tsiolakis, Periklis Kostamis, Christos Karasoulas, Eleni Briola, Christos Chrysanthos Nikolaidis, Vasileios Perifanis, George Drosatos, Eleftheria Katsiri, Despina Elisavet Filippidou, Anastasios Manos, Pavlos S. Efraimidis
2025	J	`jnl`	Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting. IEEE Trans. Sustain. Comput. Nikolaos Pavlidis, Vasileios Perifanis, Selim F. Yilmaz, Francesc Wilhelmi, Marco Miozzo, Pavlos S. Efraimidis, Remous-Aris Koutsiamanis, Pavol Mulinka, Paolo Dini
2025	J	`jnl`	Large Language Models as Universal Predictors? An Empirical Study on Small Tabular Datasets. CoRR Nikolaos Pavlidis, Vasileios Perifanis, Symeon Symeonidis, Pavlos S. Efraimidis
2025	J	`jnl`	Triple-Shield Privacy in Healthcare: Federated Learning, p-ABCs, and Distributed Ledger Authentication. J. Cybersecur. Priv. Sofia Sakka, Nikolaos Pavlidis, Vasiliki Liagkou, Ioannis Panges, Despina Elizabeth Filippidou, Chrysostomos D. Stylios, Anastasios Manos
2024	—	`conf`	A Federated Explainable AI Model for Breast Cancer Classification. EICC Eleni Briola, Christos Chrysanthos Nikolaidis, Vasileios Perifanis, Nikolaos Pavlidis, Pavlos S. Efraimidis
2024	—	`conf`	A real world case study on sales prediction using Artificial Intelligence. PCI Anastasios Manos, Despina Elizabeth Filippidou, Nikolaos Pavlidis, Georgios Vachtanidis, Georgios Karanasios, Ioannis Mallidis, Orestis Tsolakis, Georgia Ayfantopoulou
2024	—	`conf`	Carbon-Aware Machine Learning: A Case Study on Cellular Traffic Forecasting with Spiking Neural Networks. AIAI (3) Theodoros Tsiolakis, Nikolaos Pavlidis, Vasileios Perifanis, Pavlos S. Efraimidis
2024	J	`jnl`	Evaluation of Bio-Inspired Models under Different Learning Settings For Energy Efficiency in Network Traffic Prediction. CoRR Theodoros Tsiolakis, Nikolaos Pavlidis, Vasileios Perifanis, Pavlos S. Efraimidis
2024	J	`jnl`	Federated Anomaly Detection for Early-Stage Diagnosis of Autism Spectrum Disorders using Serious Game Data. CoRR Nikolaos Pavlidis, Vasileios Perifanis, Eleni Briola, Christos Chrysanthos Nikolaidis, Eleftheria Katsiri, Pavlos S. Efraimidis, Despina Elizabeth Filippidou
2024	J	`jnl`	Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting. CoRR Nikolaos Pavlidis, Vasileios Perifanis, Selim F. Yilmaz, Francesc Wilhelmi, Marco Miozzo, Pavlos S. Efraimidis, Remous-Aris Koutsiamanis, Pavol Mulinka, Paolo Dini
2024	J	`jnl`	INDIANA: Personalized Travel Recommendations Using Wearables and AI. CoRR Anastasios Manos, Despina Elisabeth Filipidou, Ioannis Deliyannis, Nikolaos Pavlidis, Vasilis Argyros, Ioanna Mazi
2023	—	`conf`	An Extensive Overview of Feature Representation Techniques for Molecule Classification. PCI Nikolaos Pavlidis, Christos Chrysanthos Nikolaidis, Vasileios Perifanis, Anastasia Papadopoulou, Pavlos S. Efraimidis, Avi Arampatzis
2023	—	`conf`	Federated Learning for Early Dropout Prediction on Healthy Ageing Applications. FMEC Christos Chrysanthos Nikolaidis, Vasileios Perifanis, Nikolaos Pavlidis, Pavlos S. Efraimidis
2023	J	`jnl`	Federated Learning for Early Dropout Prediction on Healthy Ageing Applications. CoRR Christos Chrysanthos Nikolaidis, Vasileios Perifanis, Nikolaos Pavlidis, Pavlos S. Efraimidis
2023	J	`jnl`	Federated learning for 5G base station traffic forecasting. Comput. Networks Vasileios Perifanis, Nikolaos Pavlidis, Remous-Aris Koutsiamanis, Pavlos S. Efraimidis
2023	J	`jnl`	Intelligent Client Selection for Federated Learning using Cellular Automata. CoRR Nikolaos Pavlidis, Vasileios Perifanis, Theodoros Panagiotis Chatzinikolaou, Georgios Ch. Sirakoulis, Pavlos S. Efraimidis
2023	—	`conf`	Towards Energy-Aware Federated Traffic Prediction for Cellular Networks. FMEC Vasileios Perifanis, Nikolaos Pavlidis, Selim F. Yilmaz, Francesc Wilhelmi, Elia Guerra, Marco Miozzo, Pavlos S. Efraimidis, Paolo Dini, Remous-Aris Koutsiamanis
2023	J	`jnl`	Towards Energy-Aware Federated Traffic Prediction for Cellular Networks. CoRR Vasileios Perifanis, Nikolaos Pavlidis, Selim F. Yilmaz, Francesc Wilhelmi, Elia Guerra, Marco Miozzo, Pavlos S. Efraimidis, Paolo Dini, Remous-Aris Koutsiamanis
2022	J	`jnl`	Federated Learning for 5G Base Station Traffic Forecasting. CoRR Vasileios Perifanis, Nikolaos Pavlidis, Remous-Aris Koutsiamanis, Pavlos S. Efraimidis