Seuraa
Eva Chondrodima
Eva Chondrodima
Post Doc Researcher, Data Science Lab (Datastories.org), University of Piraeus Research Center
Vahvistettu sähköpostiosoite verkkotunnuksessa central.ntua.gr
Nimike
Viittaukset
Viittaukset
Vuosi
Radial basis function network training using a nonsymmetric partition of the input space and particle swarm optimization
A Alexandridis, E Chondrodima, H Sarimveis
IEEE Transactions on Neural Networks and Learning Systems 24 (2), 219-230, 2012
1312012
Cooperative learning for radial basis function networks using particle swarm optimization
A Alexandridis, E Chondrodima, H Sarimveis
Applied Soft Computing 49, 485-497, 2016
692016
A medical diagnostic tool based on radial basis function classifiers and evolutionary simulated annealing
A Alexandridis, E Chondrodima
Journal of biomedical informatics 49, 61-72, 2014
582014
Large earthquake occurrence estimation based on radial basis function neural networks
A Alexandridis, E Chondrodima, E Efthimiou, G Papadakis, F Vallianatos, ...
IEEE Transactions on Geoscience and Remote Sensing 52 (9), 5443-5453, 2013
572013
A particle swarm optimization approach in printed circuit board thermal design
A Alexandridis, E Paizis, E Chondrodima, M Stogiannos
Integrated Computer-Aided Engineering 24 (2), 143-155, 2017
492017
A fast and efficient method for training categorical radial basis function networks
A Alexandridis, E Chondrodima, N Giannopoulos, H Sarimveis
IEEE transactions on neural networks and learning systems 28 (11), 2831-2836, 2016
492016
Particle swarm optimization and RBF neural networks for public transport arrival time prediction using GTFS data
E Chondrodima, H Georgiou, N Pelekis, Y Theodoridis
International Journal of Information Management Data Insights 2 (2), 100086, 2022
212022
A neural network approach for the prediction of the refractive index based on experimental data
A Alexandridis, E Chondrodima, K Moutzouris, D Triantis
Journal of Materials Science 47, 883-891, 2012
162012
ARGO: A big data framework for online trajectory prediction
P Petrou, P Nikitopoulos, P Tampakis, A Glenis, N Koutroumanis, ...
Proceedings of the 16th international symposium on spatial and temporal …, 2019
142019
Music genre classification using radial basis function networks and particle swarm optimization
A Alexandridis, E Chondrodima, G Paivana, M Stogiannos, E Zois, ...
2014 6th Computer Science and Electronic Engineering Conference (CEEC), 35-40, 2014
142014
An efficient LSTM neural network-based framework for vessel location forecasting
E Chondrodima, N Pelekis, A Pikrakis, Y Theodoridis
IEEE Transactions on Intelligent Transportation Systems, 2023
112023
i4sea: a big data platform for sea area monitoring and analysis of fishing vessels activity
P Tampakis, E Chondrodima, A Tritsarolis, A Pikrakis, Y Theodoridis, ...
Geo-Spatial Information Science 25 (2), 132-154, 2022
102022
Machine learning models for vessel route forecasting: An experimental comparison
E Chondrodima, P Mandalis, N Pelekis, Y Theodoridis
2022 23rd IEEE International Conference on Mobile Data Management (MDM), 262-269, 2022
92022
Sea area monitoring and analysis of fishing vessels activity: The i4sea big data platform
P Tampakis, E Chondrodima, A Pikrakis, Y Theodoridis, K Pristouris, ...
2020 21st IEEE International Conference on Mobile Data Management (MDM), 275-280, 2020
72020
Machine learning models for vessel traffic flow forecasting: An experimental comparison
P Mandalis, E Chondrodima, Y Kontoulis, N Pelekis, Y Theodoridis
2022 23rd IEEE International Conference on Mobile Data Management (MDM), 431-436, 2022
62022
Vessel collision risk assessment using AIS data: A machine learning approach
A Tritsarolis, E Chondrodima, N Pelekis, Y Theodoridis
2022 23rd IEEE International Conference on Mobile Data Management (MDM), 425-430, 2022
62022
Online Co-movement Pattern Prediction in Mobility Data
A Tritsarolis, E Chondrodima, P Tampakis, A Pikrakis
Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference, 2021
62021
Future location and trajectory prediction
H Georgiou, P Petrou, P Tampakis, S Sideridis, E Chondrodima, ...
Big data analytics for time-critical mobility forecasting: From raw data to …, 2020
52020
Public transport arrival time prediction based on GTFS data
E Chondrodima, H Georgiou, N Pelekis, Y Theodoridis
International Conference on Machine Learning, Optimization, and Data Science …, 2021
42021
Predicting co-movement patterns in mobility data
A Tritsarolis, E Chondrodima, P Tampakis, A Pikrakis, Y Theodoridis
GeoInformatica, 1-23, 2022
22022
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Artikkelit 1–20