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ORCIDEva Chondrodima
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2020 – today
- 2024
[j10]Andreas Tritsarolis, Eva Chondrodima
, Panagiotis Tampakis, Aggelos Pikrakis, Yannis Theodoridis:
Predicting Co-movement patterns in mobility data. GeoInformatica 28(2): 221-243 (2024)- [c12]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: 762-769 - [c11]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: 798-801 - [c10]Efstratios Karkanis, Nikos Pelekis, Eva Chondrodima, Yannis Theodoridis:
Path-based Traffic Flow Prediction. EDBT/ICDT Workshops 2024 - 2023
- [j9]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): 4872-4888 (2023) - [c9]Petros Mandalis, Eva Chondrodima, Yannis Kontoulis, Nikos Pelekis, Yannis Theodoridis:
Towards a Unified Vessel Traffic Flow Forecasting Framework. EDBT/ICDT Workshops 2023 - 2022
- [j8]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): 132-154 (2022) - [j7]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): 100086 (2022) - [c8]Eva Chondrodima, Petros Mandalis, Nikos Pelekis, Yannis Theodoridis:
Machine Learning Models for Vessel Route Forecasting: An Experimental Comparison. MDM 2022: 262-269 - [c7]Andreas Tritsarolis, Eva Chondrodima, Nikos Pelekis, Yannis Theodoridis:
Vessel Collision Risk Assessment using AIS Data: A Machine Learning Approach. MDM 2022: 425-430 - [c6]Petros Mandalis, Eva Chondrodima, Yannis Kontoulis, Nikos Pelekis, Yannis Theodoridis:
Machine Learning Models for Vessel Traffic Flow Forecasting: An Experimental Comparison. MDM 2022: 431-436 - 2021
- [c5]Andreas Tritsarolis, Eva Chondrodima, Panagiotis Tampakis, Aggelos Pikrakis:
Online Co-movement Pattern Prediction in Mobility Data. EDBT/ICDT Workshops 2021 - [c4]Eva Chondrodima, Harris V. Georgiou, Nikos Pelekis, Yannis Theodoridis:
Public Transport Arrival Time Prediction Based on GTFS Data. LOD 2021: 481-495 - [i1]Andreas Tritsarolis, Eva Chondrodima, Panagiotis Tampakis, Aggelos Pikrakis:
Online Co-movement Pattern Prediction in Mobility Data. CoRR abs/2102.08870 (2021) - 2020
- [c3]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: 275-280 - [p2]Kostas Patroumpas, Eva Chondrodima, Nikos Pelekis, Yannis Theodoridis:
Trajectory Detection and Summarization over Surveillance Data Streams. Big Data Analytics for Time-Critical Mobility Forecasting 2020: 85-120 - [p1]Harris V. Georgiou, Petros Petrou, Panagiotis Tampakis, Stylianos Sideridis, Eva Chondrodima, Nikos Pelekis, Yannis Theodoridis:
Future Location and Trajectory Prediction. Big Data Analytics for Time-Critical Mobility Forecasting 2020: 215-254
2010 – 2019
- 2019
- [c2]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: 194-197 - 2017
- [b1]Eva Chondrodima:
Ανάπτυξη αλγορίθμων υπολογιστικής νοημοσύνης και εφαρμογές στην εξέλιξη του παγκόσμιου ιστού. National Technical University of Athens, Greece, 2017 - [j6]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): 143-155 (2017) - [j5]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): 2831-2836 (2017) - 2016
- [j4]Alex Alexandridis, Eva Chondrodima, Haralambos Sarimveis:
Cooperative learning for radial basis function networks using particle swarm optimization. Appl. Soft Comput. 49: 485-497 (2016) - 2014
- [j3]Alex Alexandridis, Eva Chondrodima:
A medical diagnostic tool based on radial basis function classifiers and evolutionary simulated annealing. J. Biomed. Informatics 49: 61-72 (2014) - [j2]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): 5443-5453 (2014) - 2013
- [j1]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): 219-230 (2013) - 2012
- [c1]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: 51-56
Coauthor Index
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