Artificially intelligent agents increasingly collaborate with humans in human-agent teams. Timely proactive sharing of relevant information within the team contributes to the overall team performance. This paper presents a machine learning approach to proactive communication in AI-agents using contextual …

In dit onderzoek zijn recente ontwikkelingen in Machine Learning (ML) en Deep Learning (DL) met betrekking tot borst-, fibroglandulair (FG)- en tumorweefselsegmentatie in MRI-mammografie in kaart gebracht, de prestaties van deze segmentatiesystemen zijn vergeleken en als laatste worden toekomst toepassingsmogelijkheden …

Background: Digital health is well-positioned in low and middle-income countries (LMICs) to revolutionize health care due, in part, to increasing mobile phone access and internet connectivity. This paper evaluates the underlying factors that can potentially facilitate or hinder the progress of digital …

Presented at the 14th 14th European Conference on Management, Leadership and Governance ECMLG 2018: From the article: "Online shopping in The Netherlands is rapidly becoming more popular and many web-shops are aiming to develop improved customer journeys. As a consequence pure play web-shops switch …

While in business and private settings the disruptive impact of ICT have already been felt, the legal sector is now also starting to face such great disruptions. Innovations have been emerging for some time, affecting the working practices of legal professionals and the functioning and legitimacy of …

Several measures are used to assess the performance of the marketing system. The measures include quantity of milk, price, source of credit, access to commercial feeds and access to breeding services. The study also considers the role of infrastructure component in enhancing the marketing system. Data …