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2020 – today
- 2023
[j2]Petros Brimos
, Areti Karamanou, Evangelos Kalampokis, Konstantinos A. Tarabanis:
Graph Neural Networks and Open-Government Data to Forecast Traffic Flow. Inf. 14(4): 228 (2023)- [c4]Petros Brimos, Areti Karamanou, Evangelos Kalampokis, Konstantinos A. Tarabanis:
Traffic Flow Prediction with Swiss Open Data: A Deep Learning Approach. EGOV 2023: 313-328 - [c3]Petros Brimos, Areti Karamanou, Evangelos Kalampokis, Marios Evangelos Mamalis, Konstantinos A. Tarabanis:
Explainable Graph Neural Networks on Linked Statistical Data for Predicting Scottish House Prices. PCI 2023: 36-41 - [c2]Marios Evangelos Mamalis, Evangelos Kalampokis, Areti Karamanou, Petros Brimos, Konstantinos A. Tarabanis:
Can Large Language Models Revolutionalize Open Government Data Portals? A Case of Using ChatGPT in statistics.gov.scot. PCI 2023: 53-59 - 2022
- [j1]Areti Karamanou, Petros Brimos, Evangelos Kalampokis, Konstantinos A. Tarabanis:
Exploring the Quality of Dynamic Open Government Data Using Statistical and Machine Learning Methods. Sensors 22(24): 9684 (2022) - [c1]Areti Karamanou, Petros Brimos, Evangelos Kalampokis, Konstantinos A. Tarabanis:
Exploring the Quality of Dynamic Open Government Data for Developing Data Intelligence Applications: The Case of Attica Traffic Data. PCI 2022: 102-109
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