Nikolaos Pavlidis

According to our database, Nikolaos Pavlidis authored at least 9 papers between 2023 and 2024.

Collaborative distances:

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

2024

FLAMENCO Learning Disabilities Dataset.

Nikolaos Pavlidis, Vasileios Perifanis

Dataset, January, 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

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