Katerina Vrotsou
Universitetslektor, Enhetschef, Docent
Publikationer
2026
An empirical benchmark of deep time-series models for smart meter energy forecasting
Energy and AI, Vol. 25, Artikel 100870
(Artikel i tidskrift)
https://dx.doi.org/10.1016/j.egyai.2026.100870
Milana: Bridging Process Mining and Visual Analytics Through Task Classification
BUSINESS PROCESS MANAGEMENT WORKSHOPS, BPM 2025, s. 557-572
(Konferensbidrag)
https://dx.doi.org/10.1007/978-3-032-13426-4_41
VESPA: Visual Event-Stream Progressive Analytics
BUSINESS PROCESS MANAGEMENT WORKSHOPS, BPM 2025, s. 549-556
(Konferensbidrag)
https://dx.doi.org/10.1007/978-3-032-13426-4_40
Visual Extraction of Interaction Patterns Guided by Hierarchical Clustering and Process Mining
IEEE Transactions on Visualization and Computer Graphics, Vol. 32, s. 1142-1152
(Artikel i tidskrift)
https://dx.doi.org/10.1109/TVCG.2025.3634837
Just, Adaptive and Meaningful (JAM): Energy Use Predictions for the Built Environment through Synthetic Data
Proceedings of the 59th Hawaii International Conference on System Sciences, s. 5541-5548
(Konferensbidrag)
https://dx.doi.org/10.24251/HICSS.2026.659