Publicaties
Data Science Approaches for the Analysis and Interpretation of Training Load Data of Athletes KU Leuven
Research on the analysis of real-world sports data dates back at least to 1958 (Lindsey 1959; Rubin 1958). Advances in technology have caused an explosion of the amount of sports-related data about sports. The abundance of data has attracted the interest of both the academic community and the industry. The aim of this sports analytics community is to leverage the available data to help decision makers to gain a competitive advantage (Alamar and ...
Do We Need a Critical Evaluation of the Role of Mathematics in Data Science? Vrije Universiteit Brussel
A sound and effective data ethics requires an independent and mature epistemology of data science. We cannot address the ethical risks associated with data science if we cannot effectively diagnose its epistemological failures, and this is not possible if the outcomes, methods, and foundations of data science are themselves immune to criticism. An epistemology of data science that guards against the unreflective reliance on data science blocks ...
Automating Data Science (Dagstuhl Seminar 18401) Universiteit Gent
Data science is concerned with the extraction of knowledge and insight, and ultimately societal or economic value, from data. It complements traditional statistics in that its object is data as it presents itself in the wild (often complex and heterogeneous, noisy, loosely structured, biased, etc.), rather than well-structured data sampled in carefully designed studies. It also has a strong computer science focus, and is related to popular areas ...
From hype to reality: data science enabling personalized medicine KU Leuven
BACKGROUND: Personalized, precision, P4, or stratified medicine is understood as a medical approach in which patients are stratified based on their disease subtype, risk, prognosis, or treatment response using specialized diagnostic tests. The key idea is to base medical decisions on individual patient characteristics, including molecular and behavioral biomarkers, rather than on population averages. Personalized medicine is deeply connected to ...
Data Science and Simulation in Transportation Research Universiteit Hasselt
Given its effective techniques and theories from various sources and fields, data science is playing a vital role in transportation research and the consequences of the inevitable switch to electronic vehicles. This fundamental insight provides a step towards the solution of this important challenge. Data Science and Simulation in Transportation Research highlights entirely new and detailed spatial-temporal micro-simulation methodologies for ...
Data science for optimization by MULTIMOORA Universiteit Antwerpen
Pulse response analysis using the Y-procedure : a data science approach Universiteit Gent
Pulse response experiments can provide a wealth of data for transient kinetic studies of gas phase heterogeneous reactions, with the ability to paint a detailed picture of intrinsic reaction kinetics pertaining to complex catalytic mechanisms. A novel framework called the Y-Procedure was developed by Yablonsky et al. to extract information from non-steady-state kinetic data (Yablonsky et al., 2007). The Y-Procedure reconstructs the chemical ...