Exploring the Quality of Dynamic Open Government Data for Developing Data Intelligence Applications: The Case of Attica Traffic Data. - Areti Karamanou; Petros Brimos; Evangelos Kalampokis; Konstantinos A. Tarabanis (PCI, 2022)

Exploring the Quality of Dynamic Open Government Data Using Statistical and Machine Learning Methods. - Areti Karamanou; Petros Brimos; Evangelos Kalampokis; Konstantinos A. Tarabanis (Sensors, 2022)

Traffic Flow Prediction with Swiss Open Data: A Deep Learning Approach. - Petros Brimos; Areti Karamanou; Evangelos Kalampokis; Konstantinos A. Tarabanis (EGOV, 2023)

Explainable Graph Neural Networks on Linked Statistical Data for Predicting Scottish House Prices. - Petros Brimos; Areti Karamanou; Evangelos Kalampokis; Marios Evangelos Mamalis; Konstantinos A. Tarabanis (PCI, 2023)

Can Large Language Models Revolutionalize Open Government Data Portals? A Case of Using ChatGPT in statistics.gov.scot. - Marios Evangelos Mamalis; Evangelos Kalampokis; Areti Karamanou; Petros Brimos; Konstantinos A. Tarabanis (PCI, 2023)

Graph Neural Networks and Open-Government Data to Forecast Traffic Flow. - Petros Brimos; Areti Karamanou; Evangelos Kalampokis; Konstantinos A. Tarabanis (Inf., 2023)

Pre-trained Time Series Foundation Models for Traffic Flow Prediction Using Open Government Data: The case of Attica traffic OGD. - Petros Brimos; Evangelos Kalampokis; Konstantinos A. Tarabanis (PCI, 2024)