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, …

In machine learning, people stay responsible for defining both the available data, and the desired outcomes. The growth of knowledge and insights remains both critical and constantly dependent on developments, and therefore on professionals. Although the quality of our work can increase through the use …

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 …

Background A key factor in successfully preventing falls, is early identification of elderly with a high risk of falling. However, currently there is no easy-to-use pre-screening tool available; current tools are either not discriminative, time-consuming and/or costly. This pilot investigates the feasibility …

Er wordt de laatste jaren steeds vaker gesproken over predictive maintenance, het voorspellen van onderhoud aan apparatuur waarbij die voorspelling is gebaseerd op de staat van dat apparaat. Er wordt continu gemeten en pas ingegrepen als de metingen aangeven dat het fout gaat. Om deze metingen te kunnen …

Dit onderzoek heeft als doel om Quintor te adviseren op welke wijze machine learning de huidige manier van classificeren bij ToolMax kan verbeteren. Hierbij hoort de volgende onderzoeksvraag “Op welke wijze kan het toepassen van een convolutional neural network de huidige manier van classificeren bij …

This thesis is concerned with the computational generation of musical pieces, utilising concepts from the area of Artificial Intelligence. The main focus lies on the finding of a solution to the problem of bringing long-term, high-level structure to the high-dimensional, sequential streams of data, into …

Presenting the paper on physical activity using a machine learning approach

One of the main causes of numerous health problems is a lack of physical activity. To promote a more active lifestyle, the Hanze University started a health promotion program. Participants were motivated to reach their daily goal of physical activity by means of an activity tracker in combination with …