most citedPositive blood culture detection in time series data using a BiLSTM network

6 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG20191 cited

Generating an Explainable ECG Beat Space With Variational Auto-Encoders

Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene

Electrocardiogram signals are omnipresent in medicine. A vital aspect in the analysis of this data is the identification and classification of heart beat types which is often done…

cs.LG20166 cited

Positive blood culture detection in time series data using a BiLSTM network

Leen De Baets, Joeri Ruyssinck, Thomas Peiffer +4

The presence of bacteria or fungi in the bloodstream of patients is abnormal and can lead to life-threatening conditions. A computational model based on a bidirectional long short-…

stat.ML2016

Hypervolume-based Multi-objective Bayesian Optimization with Student-t Processes

Joachim van der Herten, Ivo Couckuyt, Tom Dhaene

Student- processes have recently been proposed as an appealing alternative non-parameteric function prior. They feature enhanced flexibility and predictive variance. In this wor…

cs.LG2016

Active Learning for Approximation of Expensive Functions with Normal Distributed Output Uncertainty

Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver +1

When approximating a black-box function, sampling with active learning focussing on regions with non-linear responses tends to improve accuracy. We present the FLOLA-Voronoi method…

cs.CE20162 cited

Fast Calculation of the Knowledge Gradient for Optimization of Deterministic Engineering Simulations

Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver +1

A novel efficient method for computing the Knowledge-Gradient policy for Continuous Parameters (KGCP) for deterministic optimization is derived. The differences with Expected Impro…