BACKGROUND: Approximately 5%-10% of elementary school children show delayed development of fine motor skills. To address these problems, detection is required. Current assessment tools are time-consuming, require a trained supervisor, and are not motivating for children. Sensor-augmented toys and machine …

Machine learning models have proven to be reliable methods in classification tasks. However, little research has been conducted on the classification of dwelling characteristics based on smart meter and weather data before. Gaining insights into dwelling characteristics, which comprise of the type of …

Supervision meetings give teachers and students opportunities to interact with each other and to co-regulate students’ learning processes. Co-regulation refers to the transitional process of a student who is becoming a self-regulated learner by interacting with a more capable other such as a teacher. …

INTRODUCTION: After treatment with chemotherapy, many patients with breast cancer experience cognitive problems. While limited interventions are available to improve cognitive functioning, physical exercise showed positive effects in healthy older adults and people with mild cognitive impairment. The …

Many attempts have been made to build an artificial brain. This paper aims to contribute to the conceptualization of an artificial learning system that functionally resembles an organic brain in a number of important neuropsychological aspects. Probably the techniques (algorithms) required are already …

Het gebruik van software applicaties in onze dagelijkse leven is voor veel mensen vanzelfsprekend. Zo kunnen we onze dagelijkse boodschappen binnen een paar klikken bestellen en bezorgen, kunnen we met mensen communiceren die aan de andere kant van de wereld bevinden en we kunnen op elk moment informatiebronnen …

Insight into current scientific applications of Big Data in the precision dairy farming area may help us to understand the inflated expectations around Big Data. The objective of this invited review paper is to give that scientific background and determine whether Big Data has overcome the peak of inflated …

Youyou et al. showed that from 70 likes the algorithm could predict the personality better than friends, from 150 likes better than family members and from 300 likes even better than the test person himself. However, the machine learning algorithm does not know the person better than the colleagues, …

Objective: To automatically recognize self-acknowledged limitations in clinical research publications to support efforts in improving research transparency. Methods: To develop our recognition methods, we used a set of 8431 sentences from 1197 PubMed Central articles. A subset of these sentences was …

From the thesis: This thesis document is the result of research conducted by Peter Straver in culmination of the Master of Informatics in the field of Information Management. The research is supervised by dr. Bas van Gils. Business information, held within information systems, is critical for most organizations. …