Eva Chondrodima

Orcid: 0000-0002-4433-0525

According to our database1, Eva Chondrodima authored at least 25 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Predicting Co-movement patterns in mobility data.
GeoInformatica, April, 2024

Path-based Traffic Flow Prediction.
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.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

A Scalable System for Maritime Route and Event Forecasting.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023
An Efficient LSTM Neural Network-Based Framework for Vessel Location Forecasting.
IEEE Trans. Intell. Transp. Syst., May, 2023

Towards a Unified Vessel Traffic Flow Forecasting Framework.
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.
Int. J. Inf. Manag. Data Insights, 2022

i4sea: a big data platform for sea area monitoring and analysis of fishing vessels activity.
Geo spatial Inf. Sci., 2022

Vessel Collision Risk Assessment using AIS Data: A Machine Learning Approach.
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

Machine Learning Models for Vessel Traffic Flow Forecasting: An Experimental Comparison.
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

Machine Learning Models for Vessel Route Forecasting: An Experimental Comparison.
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

2021
Public Transport Arrival Time Prediction Based on GTFS Data.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021

Online Co-movement Pattern Prediction in Mobility Data.
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.
Proceedings of the 21st IEEE International Conference on Mobile Data Management, 2020

Trajectory Detection and Summarization over Surveillance Data Streams.
Proceedings of the Big Data Analytics for Time-Critical Mobility Forecasting, 2020

Future Location and Trajectory Prediction.
Proceedings of the Big Data Analytics for Time-Critical Mobility Forecasting, 2020

2019

2017
Ανάπτυξη αλγορίθμων υπολογιστικής νοημοσύνης και εφαρμογές στην εξέλιξη του παγκόσμιου ιστού
PhD thesis, 2017

A Fast and Efficient Method for Training Categorical Radial Basis Function Networks.
IEEE Trans. Neural Networks Learn. Syst., 2017

A particle swarm optimization approach in printed circuit board thermal design.
Integr. Comput. Aided Eng., 2017

2016
Cooperative learning for radial basis function networks using particle swarm optimization.
Appl. Soft Comput., 2016

2014
Large Earthquake Occurrence Estimation Based on Radial Basis Function Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2014

A medical diagnostic tool based on radial basis function classifiers and evolutionary simulated annealing.
J. Biomed. Informatics, 2014

2013
Radial Basis Function Network Training Using a Nonsymmetric Partition of the Input Space and Particle Swarm Optimization.
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.
Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012


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