53 citations · 135 across the 12 of their papers we have counts for
12 papers
Proper Scoring Rules for Right-Censored Survival Data
Jef Jonkers, Glenn Van Wallendael, Luc Duchateau +1
Proper scoring rules provide a rigorous theoretical basis for the training and evaluation of probabilistic forecasts. In survival analysis, such forecasts describe the distribution…
Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction
Jef Jonkers, Frank Coopman, Luc Duchateau +2
Automatic anatomical landmark localization in medical imaging requires not just accurate predictions but reliable uncertainty quantification for effective clinical decision support…
Left-Right Swapping and Upper-Lower Limb Pairing for Robust Multi-Wearable Workout Activity Detection
Jonas Van Der Donckt, Jeroen Van Der Donckt, Sofie Van Hoecke
This work presents the solution of the Signal Sleuths team for the 2024 HASCA WEAR challenge. The challenge focuses on detecting 18 workout activities (and the null class) using ac…
Magnitude and Rotation Invariant Detection of Transportation Modes with Missing Data Modalities
Jeroen Van Der Donckt, Jonas Van Der Donckt, Sofie Van Hoecke
This work presents the solution of the Signal Sleuths team for the 2024 SHL recognition challenge. The challenge involves detecting transportation modes using shuffled, non-overlap…
Conformal Predictive Systems Under Covariate Shift
Jef Jonkers, Glenn Van Wallendael, Luc Duchateau +1
Conformal Predictive Systems (CPS) offer a versatile framework for constructing predictive distributions, allowing for calibrated inference and informative decision-making. However…
Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects
Jef Jonkers, Jarne Verhaeghe, Glenn Van Wallendael +2
Generating probabilistic forecasts of potential outcomes and individual treatment effects (ITE) is essential for risk-aware decision-making in domains such as healthcare, policy, m…
Addressing Data Quality Challenges in Observational Ambulatory Studies: Analysis, Methodologies and Practical Solutions for Wrist-worn Wearable Monitoring
Jonas Van Der Donckt, Nicolas Vandenbussche, Jeroen Van Der Donckt +7
Chronic disease management and follow-up are vital for realizing sustained patient well-being and optimal health outcomes. Recent advancements in wearable sensing technologies, par…
tsdownsample: high-performance time series downsampling for scalable visualization
Jeroen Van Der Donckt, Jonas Van Der Donckt, Sofie Van Hoecke
Interactive line chart visualizations greatly enhance the effective exploration of large time series. Although downsampling has emerged as a well-established approach to enable eff…
Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring
Jeroen Van Der Donckt, Jonas Van Der Donckt, Emiel Deprost +4
Over the last few years, research in automatic sleep scoring has mainly focused on developing increasingly complex deep learning architectures. However, recently these approaches a…
Neural Network Augmented Physics Models for Systems with Partially Unknown Dynamics: Application to Slider-Crank Mechanism
Wannes De Groote, Edward Kikken, Erik Hostens +2
Dynamic models of mechatronic systems are abundantly used in the context of motion control and design of complex servo applications. In practice, these systems are often plagued by…
GENESIM: genetic extraction of a single, interpretable model
Gilles Vandewiele, Olivier Janssens, Femke Ongenae +2
Models obtained by decision tree induction techniques excel in being interpretable.However, they can be prone to overfitting, which results in a low predictive performance. Ensembl…
Real-time animation of human characters with fuzzy controllers
Koen Samyn, Sofie Van Hoecke, Bart Pieters +3
The production of animation is a resource intensive process in game companies. Therefore, techniques to synthesize animations have been developed. However, these procedural techniq…