Joeri Ruyssinck

Appliance classification using VI trajectories and convolutional neural networks

Leen De Baets, Joeri Ruyssinck, Chris Develder et al. · Energy and Buildings · 2017 · 226 citations · Full text

Convolutional Neural Network, Image Classification, Machine Vision +8

Comprehensive feature selection for appliance classification in NILM

Nasrin Sadeghianpourhamami, Joeri Ruyssinck, Dirk Deschrijver et al. · Energy and Buildings · 2017 · 175 citations · Full text

Engineering, Data Science, Data Mining +7

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 · 86 citations · Full text

Predictive Modelling, Heart Failure, Ill Patients +7

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

Blood Culture Outcome, Accurate Prediction, Engineering +12

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 · 74 citations · Full text

Bayesian Statistic, Bayesian Statistics, Engineering +14