Joeri Ruyssinck

Appliance classification using VI trajectories and convolutional neural networks

Leen De Baets, Joeri Ruyssinck, Chris Develder et al. · Energy and Buildings · 2017 · 230 citations · Full text

Computing, Computer Science, Electrical Engineering +12

Comprehensive feature selection for appliance classification in NILM

Nasrin Sadeghianpourhamami, Joeri Ruyssinck, Dirk Deschrijver et al. · Energy and Buildings · 2017 · 179 citations · Full text

Computing, Data Science, Data Mining +12

Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores

Rein Houthooft, Joeri Ruyssinck, Joachim van der Herten et al. · Artificial Intelligence in Medicine · 2014 · 88 citations · Full text

Public Health, Biostatistics, Clinical Sciences +16

Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks

Tom Van Steenkiste, Joeri Ruyssinck, Leen De Baets et al. · Artificial Intelligence in Medicine · 2018 · 76 citations

Computing, Biomedical Informatics, Computer Science +15

On the Bayesian optimization and robustness of event detection methods in NILM

Leen De Baets, Joeri Ruyssinck, Chris Develder et al. · Energy and Buildings · 2017 · 75 citations · Full text

Computing, Computer Science, Bayesian Data Analysis +13