Eva Chondrodima

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 19

Top Topics

Machine Learning

Top Venues

EDBT/ICDT Workshops

Publications

Efstratios Karkanis, Nikos Pelekis, Eva Chondrodima, Yannis Theodoridis
Path-based Traffic Flow Prediction. EDBT/ICDT Workshops (2024)
Andreas Tritsarolis, Eva Chondrodima, Panagiotis Tampakis, Aggelos Pikrakis, Yannis Theodoridis
Predicting Co-movement patterns in mobility data. GeoInformatica 28 (2) (2024)
Georgios Grigoropoulos, Giannis Spiliopoulos, Ilias Chamatidis, Manolis Kaliorakis, Alexandros Troupiotis-Kapeliaris, Marios Vodas, Evangelia Filippou, Eva Chondrodima, Nikos Pelekis, Yannis Theodoridis, Dimitris Zissis, Konstantina Bereta
A Scalable System for Maritime Route and Event Forecasting. EDBT (2024)
Georgios Grigoropoulos, Giannis Spiliopoulos, Ilias Chamatidis, Manolis Kaliorakis, Alexandros Troupiotis-Kapeliaris, Marios Vodas, Evangelia Filippou, Eva Chondrodima, Nikos Pelekis, Yannis Theodoridis, Dimitris Zissis, Konstantina Bereta
GMSA: A Digital Twin Application for Maritime Route and Event Forecasting. EDBT (2024)
Eva Chondrodima, Nikos Pelekis, Aggelos Pikrakis, Yannis Theodoridis
An Efficient LSTM Neural Network-Based Framework for Vessel Location Forecasting. IEEE Trans. Intell. Transp. Syst. 24 (5) (2023)
Petros Mandalis, Eva Chondrodima, Yannis Kontoulis, Nikos Pelekis, Yannis Theodoridis
Towards a Unified Vessel Traffic Flow Forecasting Framework. EDBT/ICDT Workshops (2023)
Eva Chondrodima, Petros Mandalis, Nikos Pelekis, Yannis Theodoridis
Machine Learning Models for Vessel Route Forecasting: An Experimental Comparison. MDM (2022)
Eva Chondrodima, Harris V. Georgiou, Nikos Pelekis, Yannis Theodoridis
Particle swarm optimization and RBF neural networks for public transport arrival time prediction using GTFS data. Int. J. Inf. Manag. Data Insights 2 (2) (2022)
Petros Mandalis, Eva Chondrodima, Yannis Kontoulis, Nikos Pelekis, Yannis Theodoridis
Machine Learning Models for Vessel Traffic Flow Forecasting: An Experimental Comparison. MDM (2022)
Panagiotis Tampakis, Eva Chondrodima, Andreas Tritsarolis, Aggelos Pikrakis, Yannis Theodoridis, Kostis Pristouris, Harry Nakos, Panagiotis Kalampokis, Theodore Dalamagas
i4sea: a big data platform for sea area monitoring and analysis of fishing vessels activity. Geo spatial Inf. Sci. 25 (2) (2022)
Andreas Tritsarolis, Eva Chondrodima, Nikos Pelekis, Yannis Theodoridis
Vessel Collision Risk Assessment using AIS Data: A Machine Learning Approach. MDM (2022)
Eva Chondrodima, Harris V. Georgiou, Nikos Pelekis, Yannis Theodoridis
Public Transport Arrival Time Prediction Based on GTFS Data. LOD (2021)
Andreas Tritsarolis, Eva Chondrodima, Panagiotis Tampakis, Aggelos Pikrakis
Online Co-movement Pattern Prediction in Mobility Data. EDBT/ICDT Workshops (2021)
Andreas Tritsarolis, Eva Chondrodima, Panagiotis Tampakis, Aggelos Pikrakis
Online Co-movement Pattern Prediction in Mobility Data. CoRR (2021)
Panagiotis Tampakis, Eva Chondrodima, Aggelos Pikrakis, Yannis Theodoridis, Kostis Pristouris, Harry Nakos, Eleni Petra, Theodore Dalamagas, Andreas Kandiros, Georgios Markakis, Irida Maina, Stefanos Kavadas
Sea Area Monitoring and Analysis of Fishing Vessels Activity: The i4sea Big Data Platform. MDM (2020)
Petros Petrou, Panagiotis Nikitopoulos, Panagiotis Tampakis, Apostolos Glenis, Nikolaos Koutroumanis, Georgios M. Santipantakis, Kostas Patroumpas, Akrivi Vlachou, Harris V. Georgiou, Eva Chondrodima, Christos Doulkeridis, Nikos Pelekis, Gennady L. Andrienko, Fabian Patterson, Georg Fuchs, Yannis Theodoridis, George A. Vouros
ARGO: A Big Data Framework for Online Trajectory Prediction. SSTD (2019)
Alex Alexandridis, Eva Chondrodima, Nikolaos Giannopoulos, Haralambos Sarimveis
A Fast and Efficient Method for Training Categorical Radial Basis Function Networks. IEEE Trans. Neural Networks Learn. Syst. 28 (11) (2017)
Alex Alexandridis, Evangelos Paizis, Eva Chondrodima, Marios Stogiannos
A particle swarm optimization approach in printed circuit board thermal design. Integr. Comput. Aided Eng. 24 (2) (2017)
Alex Alexandridis, Eva Chondrodima, Haralambos Sarimveis
Cooperative learning for radial basis function networks using particle swarm optimization. Appl. Soft Comput. 49 (2016)
Alex Alexandridis, Eva Chondrodima
A medical diagnostic tool based on radial basis function classifiers and evolutionary simulated annealing. J. Biomed. Informatics 49 (2014)
Alex Alexandridis, Eva Chondrodima, Evangelos Efthimiou, Giorgos Papadakis, Filippos Vallianatos, Dimos Triantis
Large Earthquake Occurrence Estimation Based on Radial Basis Function Neural Networks. IEEE Trans. Geosci. Remote. Sens. 52 (9) (2014)
Alex Alexandridis, Eva Chondrodima, Haralambos Sarimveis
Radial Basis Function Network Training Using a Nonsymmetric Partition of the Input Space and Particle Swarm Optimization. IEEE Trans. Neural Networks Learn. Syst. 24 (2) (2013)
Alex Alexandridis, Dimos Triantis, Eva Chondrodima, Charalampos Stergiopoulos, George Hloupis, Ilias Stavrakas, Konstantinos Ninos
An adaptive soft-sensor for non-destructive cement-based material testing, through the use of RBF networks. EAIS (2012)