Nikolaos Pavlidis

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 10

Top Topics

Cellular Automaton

Spiking Neural Networks

Learning Process

Top Venues

Publications

Eleni Briola, Christos Chrysanthos Nikolaidis, Vasileios Perifanis, Nikolaos Pavlidis, Pavlos S. Efraimidis
A Federated Explainable AI Model for Breast Cancer Classification. EICC (2024)
Theodoros Tsiolakis, Nikolaos Pavlidis, Vasileios Perifanis, Pavlos S. Efraimidis
Carbon-Aware Machine Learning: A Case Study on Cellular Traffic Forecasting with Spiking Neural Networks. AIAI (3) (2024)
Christos Chrysanthos Nikolaidis, Vasileios Perifanis, Nikolaos Pavlidis, Pavlos S. Efraimidis
Federated Learning for Early Dropout Prediction on Healthy Ageing Applications. FMEC (2023)
Nikolaos Pavlidis, Christos Chrysanthos Nikolaidis, Vasileios Perifanis, Anastasia Papadopoulou, Pavlos S. Efraimidis, Avi Arampatzis
An Extensive Overview of Feature Representation Techniques for Molecule Classification. PCI (2023)
Christos Chrysanthos Nikolaidis, Vasileios Perifanis, Nikolaos Pavlidis, Pavlos S. Efraimidis
Federated Learning for Early Dropout Prediction on Healthy Ageing Applications. CoRR (2023)
Nikolaos Pavlidis, Vasileios Perifanis, Theodoros Panagiotis Chatzinikolaou, Georgios Ch. Sirakoulis, Pavlos S. Efraimidis
Intelligent Client Selection for Federated Learning using Cellular Automata. CoRR (2023)
Vasileios Perifanis, Nikolaos Pavlidis, Selim F. Yilmaz, Francesc Wilhelmi, Elia Guerra, Marco Miozzo, Pavlos S. Efraimidis, Paolo Dini, Remous-Aris Koutsiamanis
Towards Energy-Aware Federated Traffic Prediction for Cellular Networks. CoRR (2023)
Vasileios Perifanis, Nikolaos Pavlidis, Remous-Aris Koutsiamanis, Pavlos S. Efraimidis
Federated learning for 5G base station traffic forecasting. Comput. Networks 235 (2023)
Vasileios Perifanis, Nikolaos Pavlidis, Selim F. Yilmaz, Francesc Wilhelmi, Elia Guerra, Marco Miozzo, Pavlos S. Efraimidis, Paolo Dini, Remous-Aris Koutsiamanis
Towards Energy-Aware Federated Traffic Prediction for Cellular Networks. FMEC (2023)
Vasileios Perifanis, Nikolaos Pavlidis, Remous-Aris Koutsiamanis, Pavlos S. Efraimidis
Federated Learning for 5G Base Station Traffic Forecasting. CoRR (2022)