203 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- G. Sirakoulis2 profiles20 · h 36
- Nikolaos Vasileiadis13 · h 9
- P. Dimitrakis3 profiles13 · h 25
- A. Mavropoulis11 · h 3
- P. Normand2 profiles10 · h 29
- A. Adamatzky8 · h 51
- Alexandros Gazis7 · h 9
- P. Efraimidis7 · h 20
- B. Papadopoulos6 · h 19
- G. Dimitrakopoulos6 · h 19
- Kyriakos Papadopoulos6 · h 9
- N. M. Glykos6 · h 18
- University of CyprusCY36 papers
- Fermi National Accelerator LaboratoryUS33 papers
- University of IoanninaGR33 papers
- Istanbul Technical UniversityTR32 papers
- At BristolGB31 papers
- Boğaziçi UniversityTR31 papers
- Boston UniversityUS31 papers
- Brown UniversityUS31 papers
- California Institute of TechnologyUS31 papers
- Carnegie Mellon UniversityUS31 papers
- Cornell UniversityUS31 papers
- Cukurova UniversityTR31 papers
7 papers · 1 filter
Automated Modeling Method for Pathloss Model Discovery
Ahmad Anaqreh, Shih-Kai Chou, Blaž Bertalanič +3
Modeling propagation is the cornerstone for designing and optimizing next-generation wireless systems, with a particular emphasis on 5G and beyond era. Traditional modeling methods…
Evaluation of Bio-Inspired Models under Different Learning Settings For Energy Efficiency in Network Traffic Prediction
Theodoros Tsiolakis, Nikolaos Pavlidis, Vasileios Perifanis +1
Cellular traffic forecasting is a critical task that enables network operators to efficiently allocate resources and address anomalies in rapidly evolving environments. The exponen…
Vesicoureteral Reflux Detection with Reliable Probabilistic Outputs
Harris Papadopoulos, George Anastassopoulos
Vesicoureteral Reflux (VUR) is a pediatric disorder in which urine flows backwards from the bladder to the upper urinary tract. Its detection is of great importance as it increases…
Deep learning based black spot identification on Greek road networks
Ioannis Karamanlis, Alexandros Kokkalis, Vassilios Profillidis +4
Black spot identification, a spatiotemporal phenomenon, involves analyzing the geographical location and time-based occurrence of road accidents. Typically, this analysis examines…
Defect detection using weakly supervised learning
Vasileios Sevetlidis, George Pavlidis, Vasiliki Balaska +3
In many real-world scenarios, obtaining large amounts of labeled data can be a daunting task. Weakly supervised learning techniques have gained significant attention in recent year…
Dens-PU: PU Learning with Density-Based Positive Labeled Augmentation
Vasileios Sevetlidis, George Pavlidis, Spyridon Mouroutsos +1
This study proposes a novel approach for solving the PU learning problem based on an anomaly-detection strategy. Latent encodings extracted from positive-labeled data are linearly…
Federated Learning for 5G Base Station Traffic Forecasting
Vasileios Perifanis, Nikolaos Pavlidis, Remous-Aris Koutsiamanis +1
Cellular traffic prediction is of great importance on the path of enabling 5G mobile networks to perform intelligent and efficient infrastructure planning and management. However,…