Wilfried Verachtert

IMEC — Belgium

Biochemistry, Genetics and Molecular Biology · Life Sciences

6h-index135citations22works0.02yr avg
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Research Topics

Genomics and Phylogenetic Studies(6), Recommender Systems and Techniques(5), Parallel Computing and Optimization Techniques(3), Privacy-Preserving Technologies in Data(3), Molecular Biology Techniques and Applications(3)

Publications22 total

Machine Learning on Multiplexed Optical Metrology Pattern Shift Response Targets to Predict Electrical Properties
IEEE Transactions on Semiconductor Manufacturing·2023· 3 citedOpen Access
A software package for efficient patient trajectory analysis applied to analyzing bladder cancer development
PLOS Digital Health·2023· 7 citedOpen Access
Privacy-preserving Amalgamated Machine Learning for Virtual Metrology
2023
Virtual Screening on FPGA: Performance and Energy versus Effort
arXiv (Cornell University)·2022· 2 citedOpen Access
Distributing intelligence for object detection using edge computing
2021· 2 cited
Multi party privacy preserving machine learning for process control
Metrology, Inspection, and Process Control for Semiconductor Manufacturing XXXV·2021· 1 cited
Multithreaded variant calling in elPrep 5
PLoS ONE·2021· 28 citedOpen Access
Multithreaded variant calling in elPrep 5
2020· 1 citedOpen Access
A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication
arXiv (Cornell University)·2020Open Access
A High-Performance Implementation of Bayesian Matrix Factorization with\n Limited Communication
arXiv (Cornell University)·2020· 1 citedOpen Access
Using Unsupervised Machine Learning for Plasma Etching Endpoint Detection
2020· 6 citedOpen Access
A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication
Lecture notes in computer science·2020Open Access
A comparison of three programming languages for a full-fledged next-generation sequencing tool
BMC Bioinformatics·2019· 22 citedOpen Access
SMURFF: a High-Performance Framework for Matrix Factorization
arXiv (Cornell University)·2019Open Access
elPrep 4: A multithreaded framework for sequence analysis
PLoS ONE·2019· 21 citedOpen Access
Comparing Ease of Programming in C++, Go, and Java for Implementing a Next-Generation Sequencing Tool
Evolutionary Bioinformatics·2019· 5 citedOpen Access
Data Science in Healthcare: Benefits, Challenges and Opportunities
2019· 35 cited
SMURFF: A High-Performance Framework for Matrix Factorization Methods.
2019
elPrep: A multithreaded framework for sequence analysis
2018Open Access
System-Level Design and Application Mapping for Wireless and Multimedia MPSoC Architectures
2008 Design, Automation and Test in Europe·2008
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Frequent Co-authors

Roel Wuyts(15), Charlotte Herzeel(7), Tom Vander Aa(7), Pascal Costanza(6), Imen Chakroun(5), Thomas J. Ashby(5), Dries Decap(4), Jan Fostier(4), Tom Ashby(3), Xiangju Qin(3), Paul Blomstedt(3), Samuel Kaski(3), Sayantan Das(2), Sandip Halder(2), Patrick Steyaert(2), Rainer Leupers(2), Jaak Simm(2), Ádám Arany(2), Yves Moreau(2), José Felipe Golib Dzib(2)