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Researcher
Emiel Deprost
- Disciplines:Machine learning and decision making, Energy in buildings and built environments, Sustainable buildings and cities, Data mining
Affiliations
- Department of Electronics and information systems (Department)
Member
From9 Aug 2019 → Today
Projects
1 - 1 of 1
- Hybrid machine learning with BIM for energy optimization and dweller well-being in smart buildingsFrom1 Nov 2020 → TodayFunding: FWO Strategic Basic Research Grant
Publications
1 - 4 of 4
- Real-time estimation and monitoring of COVID-19 aerosol transmission risk in office buildings(2023)
Authors: Jelle Vanhaeverbeke, Emiel Deprost, Pieter Bonte, Matthias Strobbe, Jelle Nelis, Bruno Volckaert, Femke Ongenae, Steven Verstockt, Sofie Van Hoecke
- Do not sleep on traditional machine learning simple and interpretable techniques are competitive to deep learning for sleep scoring(2023)
Authors: Jeroen Van Der Donckt, Jonas Van Der Donckt, Emiel Deprost, Michael Rademaker, Gilles Vandewiele, Sofie Van Hoecke
- tsflex : flexible time series processing & feature extraction(2022)
Authors: Jonas Van Der Donckt, Jeroen Van Der Donckt, Emiel Deprost, Sofie Van Hoecke
- MIRRA : a modular and cost-effective microclimate monitoring system for real-time remote applications(2021)
Authors: Olivier Pieters, Emiel Deprost, Jonas Van Der Donckt, Lore Brosens, Pieter Sanczuk, Pieter Vangansbeke, Tom De Swaef, Pieter De Frenne, Francis wyffels