Publications

Results 1-20 of 49 (Search time: 0.033 seconds).

Issue DateTitleAuthor(s)
113-Jun-2025Hybrid Hydrological Forecasting Through a Physical Model and a Weather-Informed Transformer Model: A Case Study in Greek WatershedAmpas, Haris ; Refanidis, Ioannis ; Ampas, Vasilios 
215-May-2025Defending Federated Learning from Collaborative Poisoning Attacks: A Clique-Based Detection FrameworkAnastasiadis, Dimitrios ; Refanidis, Ioannis 
327-Dec-2024Leveraging deep learning methods to enhance hydrological predictions and model interpretabilityAmpas, Haris ; Refanidis, Ioannis 
4Dec-2024Towards Optimizing Fuel Consumption in Railways: A Generic Greedy Approach in Continuous SpaceTzelalis, George ; Refanidis, Ioannis 
5Dec-2024Creation of knowledge graph from free text using Neo4j and Stanza: An application in machine translation from English to SpanishMavrovitis, Theodoros ; Refanidis, Ioannis 
6Nov-2024Enhancing Security in Federated Learning: Detection of Synchronized Data Poisoning AttacksAnastasiadis, Dimitrios ; Refanidis, Ioannis 
7Nov-2023CPU and GPU Parallelism of the A* Algorithm on solving N-Puzzle problemsKouti, Aikaterini Maria ; Refanidis, Ioannis 
8May-2022Consolidating incentivization in distributed neural network training via decentralized autonomous organizationNikolaidis, Spyridon ; Refanidis, Ioannis 
9Nov-2021Shallow Neural Networks beat Deep Neural Networks trained with transfer learning: A Use Case based on training Neural Networks to identify Covid-19 in chest X-ray imagesManolakis, Dimitrios ; Spanos, George ; Refanidis, Ioannis 
101-Jul-2021Incentivizing Participation to Distributed Neural Network TrainingNikolaidis, Spyridon ; Refanidis, Ioannis 
111-Jul-2021Addressing Computer Vision Challenges Using an Active Learning FrameworkTzogka, Christina ; Refanidis, Ioannis 
1231-Mar-2021Using distributed ledger technology to democratize neural network trainingNikolaidis, Spyridon ; Refanidis, Ioannis 
132021A graph neural network method for distributed anomaly detection in IoTProtogerou, Aikaterini ; Papadopoulos, Stavros ; Drosou, Anastasios ; Tzovaras, Dimitrios ; Refanidis, Ioannis 
1411-May-2020Privacy preserving distributed training of neural networksNikolaidis, Spyridon ; Refanidis, Ioannis 
15Oct-2019An Adaptation and Personalisation Methodology for Serious Games Design (work in progress paper)Blatsios, Spyridon ; Refanidis, Ioannis 
16Sep-2019Encoding Position Improves Recurrent Neural Text SummarizersKaranikolos, Apostolos ; Refanidis, Ioannis 
1715-May-2019LEARNAE: Distributed and Resilient Deep Neural Network Training for Heterogeneous Peer to Peer TopologiesNikolaidis, Spyridon ; Refanidis, Ioannis 
18May-2019Towards and Adaption and Personalisation Solution based on Multi Agent System Applied on Serious GamesBlatsios, Spyridon ; Refanidis, Ioannis 
19Dec-2018Integrating Meeting and Individual Events SchedulingAlexiadis, Anastasios ; Refanidis, Ioannis ; Sakellariou, Ilias 
20Apr-2018Solving polynomial systems using a fast adaptive back propagation-type neural network algorithmGoulianas, Konstantinos ; Margaris, Athanasios ; Refanidis, Ioannis ; Diamantaras, Konstantinos I.