Nikolaos Pavlidis

According to our database, Nikolaos Pavlidis authored at least 14 papers between 2023 and 2025.

Collaborative distances:

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

2025

Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting.

Nikolaos Pavlidis, Vasileios Perifanis, Selim F. Yilmaz, Francesc Wilhelmi, Marco Miozzo, Pavlos S. Efraimidis, Remous-Aris Koutsiamanis, Pavol Mulinka, Paolo Dini

IEEE Trans. Sustain. Comput., 2025

Federated Learning for privacy-Friendly Health Apps: A Case Study on Ovulation Tracking.

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

J. Sens. Actuator Networks, 2025

2024

FLAMENCO Learning Disabilities Dataset.

Nikolaos Pavlidis, Vasileios Perifanis

Dataset, January, 2024

Evaluation of Bio-Inspired Models under Different Learning Settings For Energy Efficiency in Network Traffic Prediction.

Theodoros Tsiolakis, Nikolaos Pavlidis, Vasileios Perifanis, Pavlos S. Efraimidis

CoRR, 2024

INDIANA: Personalized Travel Recommendations Using Wearables and AI.

Anastasios Manos, Despina Elisabeth Filipidou, Ioannis Deliyannis, Nikolaos Pavlidis, Vasilis Argyros, Ioanna Mazi

CoRR, 2024

Federated Anomaly Detection for Early-Stage Diagnosis of Autism Spectrum Disorders using Serious Game Data.

Nikolaos Pavlidis, Vasileios Perifanis, Eleni Briola, Christos Chrysanthos Nikolaidis, Eleftheria Katsiri, Pavlos S. Efraimidis, Despina Elizabeth Filippidou

CoRR, 2024

A real world case study on sales prediction using Artificial Intelligence.

Anastasios Manos, Despina Elizabeth Filippidou, Nikolaos Pavlidis, Georgios Vachtanidis, Georgios Karanasios, Ioannis Mallidis, Orestis Tsolakis, Georgia Ayfantopoulou

Proceedings of the 28th Pan-Hellenic Conference on Progress in Computing and Informatics, 2024

Carbon-Aware Machine Learning: A Case Study on Cellular Traffic Forecasting with Spiking Neural Networks.

Theodoros Tsiolakis, Nikolaos Pavlidis, Vasileios Perifanis, Pavlos S. Efraimidis

Proceedings of the Artificial Intelligence Applications and Innovations, 2024

A Federated Explainable AI Model for Breast Cancer Classification.

Eleni Briola, Christos Chrysanthos Nikolaidis, Vasileios Perifanis, Nikolaos Pavlidis, Pavlos S. Efraimidis

Proceedings of the European Interdisciplinary Cybersecurity Conference, 2024

2023

Federated learning for 5G base station traffic forecasting.

Vasileios Perifanis, Nikolaos Pavlidis, Remous-Aris Koutsiamanis, Pavlos S. Efraimidis

Comput. Networks, November, 2023

Intelligent Client Selection for Federated Learning using Cellular Automata.

Nikolaos Pavlidis, Vasileios Perifanis, Theodoros Panagiotis Chatzinikolaou, Georgios Ch. Sirakoulis, Pavlos S. Efraimidis

CoRR, 2023

An Extensive Overview of Feature Representation Techniques for Molecule Classification.

Nikolaos Pavlidis, Christos Chrysanthos Nikolaidis, Vasileios Perifanis, Anastasia Papadopoulou, Pavlos S. Efraimidis, Avi Arampatzis

Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and Informatics, 2023

Towards Energy-Aware Federated Traffic Prediction for Cellular Networks.

Vasileios Perifanis, Nikolaos Pavlidis, Selim F. Yilmaz, Francesc Wilhelmi, Elia Guerra, Marco Miozzo, Pavlos S. Efraimidis, Paolo Dini, Remous-Aris Koutsiamanis

Proceedings of the Eighth International Conference on Fog and Mobile Edge Computing, 2023

Federated Learning for Early Dropout Prediction on Healthy Ageing Applications.

Christos Chrysanthos Nikolaidis, Vasileios Perifanis, Nikolaos Pavlidis, Pavlos S. Efraimidis

Proceedings of the Eighth International Conference on Fog and Mobile Edge Computing, 2023