19 citations · 25 across the 7 of their papers we have counts for
7 papers
Transfer learning RGB models to hyperspectral images with trainable tensor decompositions
Mariette Schönfeld, Laurens Devos, Wannes Meert +1
Transfer learning makes it possible to use large vision networks on a variety of domains, by specializing their models' general filters to new tasks. However, these networks assume…
dtaianomaly: A Python library for time series anomaly detection
Louis Carpentier, Nick Seeuws, Wannes Meert +1
dtaianomaly is an open-source Python library for time series anomaly detection, designed to bridge the gap between academic research and real-world applications. Our goal is to (1)…
A Machine Learning Approach Towards SKILL Code Autocompletion
Enrique Dehaerne, Bappaditya Dey, Wannes Meert
As Moore's Law continues to increase the complexity of electronic systems, Electronic Design Automation (EDA) must advance to meet global demand. An important example of an EDA tec…
Automated Semiconductor Defect Inspection in Scanning Electron Microscope Images: a Systematic Review
Thibault Lechien, Enrique Dehaerne, Bappaditya Dey +4
A growing need exists for efficient and accurate methods for detecting defects in semiconductor materials and devices. These defects can have a detrimental impact on the efficiency…
AD-MERCS: Modeling Normality and Abnormality in Unsupervised Anomaly Detection
Jonas Soenen, Elia Van Wolputte, Vincent Vercruyssen +2
Most anomaly detection systems try to model normal behavior and assume anomalies deviate from it in diverse manners. However, there may be patterns in the anomalies as well. Ideall…
Adversarial Example Detection in Deployed Tree Ensembles
Laurens Devos, Wannes Meert, Jesse Davis
Tree ensembles are powerful models that are widely used. However, they are susceptible to adversarial examples, which are examples that purposely constructed to elicit a mispredict…
DPU: DAG Processing Unit for Irregular Graphs with Precision-Scalable Posit Arithmetic in 28nm
Nimish Shah, Laura Isabel Galindez Olascoaga, Shirui Zhao +2
Computation in several real-world applications like probabilistic machine learning, sparse linear algebra, and robotic navigation, can be modeled as irregular directed acyclic grap…