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Designing a Smartphone Exergame for Children with Cerebral Palsy in the Home Environment

Alberts, Max; Ridder, Ellen A.M.; Lodewijks, Joris A.J.; Pinos Cisneros, Tamara V. (Faculteit Digitale Media En Creatieve Industrie (Fdmci)); Schoorl, Kayleigh; Salah, Albert A.; Schouten, Ben A.M. (Faculteit Digitale Media En Creatieve Industrie (Fdmci))

Children with cerebral palsy must perform daily exercise which is a tedious and energy consuming task. Exergames can make this routine more engaging, which can increase the compliance of the patient. This research explores the feasibility of an exergame device called the Squid Monster. The device is …

2022-11-05AlgemeenConferentiebijdrage

Graduation project Smart microgrids

Brown, WM (William) (Student)

Graduation report on the research and development of machine learning-based electrical usage forecaster for microgrids. Details my process of conceptualising and designing the application.

2022-11-01ICT & MediaBachelor

Designing a smartphone exergame for children with cerebral palsy in the home environment

Alberts, Max; Ridder, Ellen A.M.; Lodewijks, Joris A.J.; Pinos Cisneros, Tamara V. (Faculteit Digitale Media En Creatieve Industrie (Fdmci)); Schoorl, Kayleigh; Ali Salah, Albert; Schouten, Ben A.M. (Faculteit Digitale Media En Creatieve Industrie (Fdmci)); Gerling, Kathrin; Iacovides, Jo; Malaka, Reiner

2022-11AlgemeenConferentiebijdrage

Development and internal validation of a machine learning prediction model for low back pain non-recovery in patients with an acute episode consulting a physiotherapist in primary care

Hoogeboom, T.J. (Thomas) (Phd); Lankveld, W. (Wim) van (Phd); Knoop, J (Jesper) (Phd); Hoppenbrouwers, S. (Stijn) (Phd); Heymans, M.W. (M.) (Phd); Overmeeren, E. (Elon) van (Extern); Veenhof, C. (Cindy) (Lector); Sappelli, M. (Maja) (Onderzoeker); Wees, P.J. (Philip) van der (Professor); Soer, (Remko) (Associate Lector); Beijer, ( Lilian) (Extern); Geerdink, (Frank) (Onderzoeker); Vissers, (Kris) (Extern); Staal, (Bart) (Extern); Mittendorff, ( Kariene ) (Associate Lector); Holkenborg, (Kris)

Background While low back pain occurs in nearly everybody and is the leading cause of disability worldwide, we lack instruments to accurately predict persistence of acute low back pain. We aimed to develop and internally validate a machine learning model predicting non-recovery in acute low back pain …

2022-09-01AlgemeenArtikel

Transfering Targeted Maximum Likelihood Estimation for Causal Inference into Sports Science

Dijkhuis, Talko (New Business & Ict); Blaauw, Frank J.

Although causal inference has shown great value in estimating effect sizes in, for instance, physics, medical studies, and economics, it is rarely used in sports science. Targeted Maximum Likelihood Estimation (TMLE) is a modern method for performing causal inference. TMLE is forgiving in the misspecification …

2022-07-31AlgemeenArtikel

A quality model for trustworthy AI systems

Petra Heck (Onderzoeker)

Although ISO25000 claimed in 2011 that “the characteristics defined … are relevant to all software products and computer systems”, by now ISO is working on an specific SQuaRE version for AI systems. While waiting for that update I took (grey) literature on quality of AI systems as a starting point to …

2022-07-13ICT & MediaArtikel

Using Search-Based Software Testing to Guide the Strive for Robust Machine Learning Components

Borg, Markus; Groenboom, Rix; Balje, Jan; Dijkhuis, Talko; Bos, Jos; Dijksterhuis, Chris; Vellinga, Nynke; De Bruin, Marc

Guest lecture by Marcus Borg from RISE institute

2022-06-22ICT & MediaConferentiebijdrage

Coach, I don´t feel it today - A Machine Learning approach for early in-game performance prediction

Kempe, Matthias; Dijkhuis, Talko

2022-06-15Mens & MaatschappijConferentiebijdrage

Study Progression and Success of Autistic Students in Higher Education

T. C. (Theo) Bakker

In this PhD thesis, we aimed to improve understanding of the study progression and success of autistic students in higher education by comparing them to students with other disabilities and students without disabilities. We studied their background and enrollment characteristics, whether barriers in …

2022-06-08Opvoeding & Onderwijs; …Proefschrift

Afstudeerstage OVSoftware

Geerdink, LBZ (Leo) (Student)

Er is een applicatie gemaakt die met machine learning problemen in code kan vinden. De resultaten van de analyse worden aan de gebruiker laten zien.

2022-06-01ICT & MediaBachelor

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