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2020 – today
- 2024
[c5]Eleni Briola
, Christos Chrysanthos Nikolaidis, Vasileios Perifanis, Nikolaos Pavlidis, Pavlos S. Efraimidis:
A Federated Explainable AI Model for Breast Cancer Classification. EICC 2024: 194-201- [c4]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: 178-191 - [d1]Nikolaos Pavlidis, Vasileios Perifanis:
FLAMENCO Learning Disabilities Dataset. IEEE DataPort, 2024
- [i5]Nikolaos Pavlidis, Vasileios Perifanis, Eleni Briola, Christos Chrysanthos Nikolaidis, Eleftheria Katsiri, Pavlos S. Efraimidis, Despina Elizabeth Filippidou:
Federated Anomaly Detection for Early-Stage Diagnosis of Autism Spectrum Disorders using Serious Game Data. CoRR abs/2410.20003 (2024) - 2023
- [j1]Vasileios Perifanis, Nikolaos Pavlidis, Remous-Aris Koutsiamanis, Pavlos S. Efraimidis:
Federated learning for 5G base station traffic forecasting. Comput. Networks 235: 109950 (2023) - [c3]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: 93-100 - [c2]Christos Chrysanthos Nikolaidis, Vasileios Perifanis, Nikolaos Pavlidis, Pavlos S. Efraimidis:
Federated Learning for Early Dropout Prediction on Healthy Ageing Applications. FMEC 2023: 135-142 - [c1]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: 156-162 - [i4]Christos Chrysanthos Nikolaidis, Vasileios Perifanis, Nikolaos Pavlidis, Pavlos S. Efraimidis:
Federated Learning for Early Dropout Prediction on Healthy Ageing Applications. CoRR abs/2309.04311 (2023) - [i3]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 abs/2309.10645 (2023) - [i2]Nikolaos Pavlidis, Vasileios Perifanis, Theodoros Panagiotis Chatzinikolaou, Georgios Ch. Sirakoulis, Pavlos S. Efraimidis:
Intelligent Client Selection for Federated Learning using Cellular Automata. CoRR abs/2310.00627 (2023) - 2022
- [i1]Vasileios Perifanis, Nikolaos Pavlidis, Remous-Aris Koutsiamanis, Pavlos S. Efraimidis:
Federated Learning for 5G Base Station Traffic Forecasting. CoRR abs/2211.15220 (2022)
Coauthor Index
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