Παρακολούθηση
Eva Chondrodima
Eva Chondrodima
Post Doc Researcher, Data Science Lab (Datastories.org), University of Piraeus Research Center
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα central.ntua.gr
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Παρατίθεται από
Παρατίθεται από
Έτος
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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