53 citations · 59 across the 4 of their papers we have counts for
4 papers
From Haystack to Needle: Label Space Reduction for Zero-shot Classification
Nathan Vandemoortele, Bram Steenwinckel, Femke Ongenae +1
We present Label Space Reduction (LSR), a novel method for improving zero-shot classification performance of Large Language Models (LLMs). LSR iteratively refines the classificatio…
landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images
Jef Jonkers, Luc Duchateau, Glenn Van Wallendael +1
Anatomical landmark localization in 2D/3D images is a critical task in medical imaging. Although many general-purpose tools exist for landmark localization in classical computer vi…
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…
tsflex: flexible time series processing & feature extraction
Jonas Van Der Donckt, Jeroen Van Der Donckt, Emiel Deprost +1
Time series processing and feature extraction are crucial and time-intensive steps in conventional machine learning pipelines. Existing packages are limited in their applicability,…