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 (EAIS, 2012)

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)

A medical diagnostic tool based on radial basis function classifiers and evolutionary simulated annealing. - Alex Alexandridis; Eva Chondrodima (J. Biomed. Informatics, 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)

Cooperative learning for radial basis function networks using particle swarm optimization. - Alex Alexandridis; Eva Chondrodima; Haralambos Sarimveis (Appl. Soft Comput., 2016)

A particle swarm optimization approach in printed circuit board thermal design. - Alex Alexandridis; Evangelos Paizis; Eva Chondrodima; Marios Stogiannos (Integr. Comput. Aided Eng., 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)

Ανάπτυξη αλγορίθμων υπολογιστικής νοημοσύνης και εφαρμογές στην εξέλιξη του παγκόσμιου ιστού - Eva Chondrodima (2017)

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; et al. (SSTD, 2019)

Future Location and Trajectory Prediction. - Harris V. Georgiou; Petros Petrou; Panagiotis Tampakis; Stylianos Sideridis; Eva Chondrodima; Nikos Pelekis; Yannis Theodoridis (Big Data Analytics for Time-Critical Mobility Forecasting, 2020)

Trajectory Detection and Summarization over Surveillance Data Streams. - Kostas Patroumpas; Eva Chondrodima; Nikos Pelekis; Yannis Theodoridis (Big Data Analytics for Time-Critical Mobility Forecasting, 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 001; Andreas Kandiros; Georgios Markakis; Irida Maina; Stefanos Kavadas (MDM, 2020)

Online Co-movement Pattern Prediction in Mobility Data. - Andreas Tritsarolis; Eva Chondrodima; Panagiotis Tampakis; Aggelos Pikrakis (EDBT/ICDT Workshops, 2021)

Public Transport Arrival Time Prediction Based on GTFS Data. - Eva Chondrodima; Harris V. Georgiou; Nikos Pelekis; Yannis Theodoridis (LOD, 2021)

Machine Learning Models for Vessel Route Forecasting: An Experimental Comparison. - Eva Chondrodima; Petros Mandalis; Nikos Pelekis; Yannis Theodoridis (MDM, 2022)

Machine Learning Models for Vessel Traffic Flow Forecasting: An Experimental Comparison. - Petros Mandalis; Eva Chondrodima; Yannis Kontoulis; Nikos Pelekis; Yannis Theodoridis (MDM, 2022)

Vessel Collision Risk Assessment using AIS Data: A Machine Learning Approach. - Andreas Tritsarolis; Eva Chondrodima; Nikos Pelekis; Yannis Theodoridis (MDM, 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 001 (Geo spatial Inf. Sci., 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)

Towards a Unified Vessel Traffic Flow Forecasting Framework. - Petros Mandalis; Eva Chondrodima; Yannis Kontoulis; Nikos Pelekis; Yannis Theodoridis (EDBT/ICDT Workshops, 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., 2023)

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 (EDBT, 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 (EDBT, 2024)

Path-based Traffic Flow Prediction. - Efstratios Karkanis; Nikos Pelekis; Eva Chondrodima; Yannis Theodoridis (EDBT/ICDT Workshops, 2024)

Predicting Co-movement patterns in mobility data. - Andreas Tritsarolis; Eva Chondrodima; Panagiotis Tampakis; Aggelos Pikrakis; Yannis Theodoridis (GeoInformatica, 2024)

Multi-Partner Project: Green.Dat.AI: A Data Spaces Architecture for Enhancing Green AI Services. - Ioannis Chrysakis; Evangelos Agorogiannis; Nikoleta Tsampanaki; Michalis Vourtzoumis; Eva Chondrodima; Yannis Theodoridis; Domen Mongus; Ben Capper; Martin Wagner; Aris Sotiropoulos; Fábio André Coelho; Cláudia Vanessa Brito; et al. (DATE, 2025)

A transformer-based method for vessel traffic flow forecasting. - Petros Mandalis; Eva Chondrodima; Yannis Kontoulis; Nikos Pelekis; Yannis Theodoridis (GeoInformatica, 2025)