User profiles for R. Wuyts
Roel Wuytsimec Manager & Professor KU Leuven Verified email at imec.be Cited by 3522 |
Traits: A mechanism for fine-grained reuse
… Schärli, Google Switzerland, Freigutstrasse 12, CH-8002 Z ürich, Switzerland; email:
schaerli@google.com; R. Wuyts, Lab for Software Composition and Decomposition, Département d’…
schaerli@google.com; R. Wuyts, Lab for Software Composition and Decomposition, Département d’…
[BOOK][B] Data science in healthcare: Benefits, challenges and opportunities
…, J Thoms, A Vasiljevs, W Verachtert, R Wuyts - 2019 - Springer
The advent of digital medical data has brought an exponential increase in information available
for each patient, allowing for novel knowledge generation methods to emerge. Tapping …
for each patient, allowing for novel knowledge generation methods to emerge. Tapping …
[PDF][PDF] Repurposing high-throughput image assays enables biological activity prediction for drug discovery
In both academia and the pharmaceutical industry, large-scale assays for drug discovery are
expensive and often impractical, particularly for the increasingly important physiologically …
expensive and often impractical, particularly for the increasingly important physiologically …
Declarative reasoning about the structure of object-oriented systems
R Wuyts - … . Technology of Object-Oriented Languages. TOOLS …, 1998 - ieeexplore.ieee.org
The structure of object-oriented systems typically forms a complicated tangled web of
interdependent classes. Understanding this implicit and hidden structure poses severe problems to …
interdependent classes. Understanding this implicit and hidden structure poses severe problems to …
An extension to fuzzy cognitive maps for classification and prediction
… k IF-THEN rule is denoted by k R that associates with N input linguistic terms … R . The
output of a node in consequent layer indicates the defuzzified value of the linguistic term. In FRI-…
output of a node in consequent layer indicates the defuzzified value of the linguistic term. In FRI-…
[HTML][HTML] The Einstein effect provides global evidence for scientific source credibility effects and the influence of religiosity
…, BT Rutjens, H Turpin, F Uzarevic, R Wuyts… - Nature Human …, 2022 - nature.com
… We used the R package BayesFactor 76 to estimate and test the multilevel Bayesian
regression models 113,114 . The multilevel Bayesian modelling approach allows us to …
regression models 113,114 . The multilevel Bayesian modelling approach allows us to …
[PDF][PDF] A logic meta-programming approach to support the co-evolution of object-oriented design and implementation
R Wuyts - 2001 - scg.unibe.ch
This dissertation provides a framework to synchronise design and implementation by
expressing design as a logic meta program over implementation. In this first chapter we …
expressing design as a logic meta program over implementation. In this first chapter we …
Components for embedded software: the PECOS approach
Software is more and more becoming the major cost factor for embedded devices. Already
today, software accounts for more than 50 percent of the development costs of such a device. …
today, software accounts for more than 50 percent of the development costs of such a device. …
Scaling machine learning for target prediction in drug discovery using Apache Spark
…, A Gedich, M Steijaert, H Ceulemans, R Wuyts… - Future Generation …, 2017 - Elsevier
… Roel Wuyts is a principal scientist at IMEC and part-time professor in the Distrinet group at
the KULeuven. His main research interest currently lies in the runtime management layer for …
the KULeuven. His main research interest currently lies in the runtime management layer for …
[HTML][HTML] Identifying and evaluating barriers for the implementation of machine learning in the intensive care unit
…, TJ Ashby, I Chakroun, T Koninckx, R Wuyts - Communications …, 2022 - nature.com
Background Despite apparent promise and the availability of numerous examples in the
literature, machine learning models are rarely used in practice in ICU units. This mismatch …
literature, machine learning models are rarely used in practice in ICU units. This mismatch …