Eva Chondrodima

According to our database, Eva Chondrodima authored at least 24 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Path-based Traffic Flow Prediction.

Efstratios Karkanis, Nikos Pelekis, Eva Chondrodima, Yannis Theodoridis

Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference, 2024

GMSA: A Digital Twin Application for Maritime Route and Event Forecasting.

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

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

A Scalable System for Maritime Route and Event Forecasting.

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

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023

An Efficient LSTM Neural Network-Based Framework for Vessel Location Forecasting.

Eva Chondrodima, Nikos Pelekis, Aggelos Pikrakis, Yannis Theodoridis

IEEE Trans. Intell. Transp. Syst., May, 2023

Towards a Unified Vessel Traffic Flow Forecasting Framework.

Petros Mandalis, Eva Chondrodima, Yannis Kontoulis, Nikos Pelekis, Yannis Theodoridis

Proceedings of the Workshops of the EDBT/ICDT 2023 Joint Conference, 2023

2022

Particle swarm optimization and RBF neural networks for public transport arrival time prediction using GTFS data.

Eva Chondrodima, Harris V. Georgiou, Nikos Pelekis, Yannis Theodoridis

Int. J. Inf. Manag. Data Insights, 2022

i4sea: a big data platform for sea area monitoring and analysis of fishing vessels activity.

Panagiotis Tampakis, Eva Chondrodima, Andreas Tritsarolis, Aggelos Pikrakis, Yannis Theodoridis, Kostis Pristouris, Harry Nakos, Panagiotis Kalampokis, Theodore Dalamagas

Geo spatial Inf. Sci., 2022

Vessel Collision Risk Assessment using AIS Data: A Machine Learning Approach.

Andreas Tritsarolis, Eva Chondrodima, Nikos Pelekis, Yannis Theodoridis

Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

Machine Learning Models for Vessel Traffic Flow Forecasting: An Experimental Comparison.

Petros Mandalis, Eva Chondrodima, Yannis Kontoulis, Nikos Pelekis, Yannis Theodoridis

Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

Machine Learning Models for Vessel Route Forecasting: An Experimental Comparison.

Eva Chondrodima, Petros Mandalis, Nikos Pelekis, Yannis Theodoridis

Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

2021

Public Transport Arrival Time Prediction Based on GTFS Data.

Eva Chondrodima, Harris V. Georgiou, Nikos Pelekis, Yannis Theodoridis

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

Online Co-movement Pattern Prediction in Mobility Data.

Andreas Tritsarolis, Eva Chondrodima, Panagiotis Tampakis, Aggelos Pikrakis

Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference, 2021

2020

Sea Area Monitoring and Analysis of Fishing Vessels Activity: The i4sea Big Data Platform.

Panagiotis Tampakis, Eva Chondrodima, Aggelos Pikrakis, Yannis Theodoridis, Kostis Pristouris, Harry Nakos, Eleni Petra, Theodore Dalamagas, Andreas Kandiros, Georgios Markakis, Irida Maina, Stefanos Kavadas

Proceedings of the 21st IEEE International Conference on Mobile Data Management, 2020

Trajectory Detection and Summarization over Surveillance Data Streams.

Kostas Patroumpas, Eva Chondrodima, Nikos Pelekis, Yannis Theodoridis

Proceedings of the Big Data Analytics for Time-Critical Mobility Forecasting, 2020

Future Location and Trajectory Prediction.

Harris V. Georgiou, Petros Petrou, Panagiotis Tampakis, Stylianos Sideridis, Eva Chondrodima, Nikos Pelekis, Yannis Theodoridis

Proceedings of the Big Data Analytics for Time-Critical Mobility Forecasting, 2020

2019

ARGO: A Big Data Framework for Online Trajectory Prediction.

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

Proceedings of the 16th International Symposium on Spatial and Temporal Databases, 2019

2017

Ανάπτυξη αλγορίθμων υπολογιστικής νοημοσύνης και εφαρμογές στην εξέλιξη του παγκόσμιου ιστού

Eva Chondrodima

PhD thesis, 2017

A Fast and Efficient Method for Training Categorical Radial Basis Function Networks.

Alex Alexandridis, Eva Chondrodima, Nikolaos Giannopoulos, Haralambos Sarimveis

IEEE Trans. Neural Networks Learn. Syst., 2017

A particle swarm optimization approach in printed circuit board thermal design.

Alex Alexandridis, Evangelos Paizis, Eva Chondrodima, Marios Stogiannos

Integr. Comput. Aided Eng., 2017

2016

Cooperative learning for radial basis function networks using particle swarm optimization.

Alex Alexandridis, Eva Chondrodima, Haralambos Sarimveis

Appl. Soft Comput., 2016

2014

Large Earthquake Occurrence Estimation Based on Radial Basis Function Neural Networks.

Alex Alexandridis, Eva Chondrodima, Evangelos Efthimiou, Giorgos Papadakis, Filippos Vallianatos, Dimos Triantis

IEEE Trans. Geosci. Remote. Sens., 2014

A medical diagnostic tool based on radial basis function classifiers and evolutionary simulated annealing.

Alex Alexandridis, Eva Chondrodima

J. Biomed. Informatics, 2014

2013

Radial Basis Function Network Training Using a Nonsymmetric Partition of the Input Space and Particle Swarm Optimization.

Alex Alexandridis, Eva Chondrodima, Haralambos Sarimveis

IEEE Trans. Neural Networks Learn. Syst., 2013

2012

An adaptive soft-sensor for non-destructive cement-based material testing, through the use of RBF networks.

Alex Alexandridis, Dimos Triantis, Eva Chondrodima, Charalampos Stergiopoulos, George Hloupis, Ilias Stavrakas, Konstantinos Ninos

Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012