Credit Scoring Prediction using Graph Features

Small and medium enterprises (SMEs) bring a significant contribution to each country’s economy, ensuring both a high employment rate and financial prosperity. Despite their essential role, these type of companies presents a higher vulnerability to default than large corporates. The default event implies that the SME could not properly reimburse...

Unit test generation for common and uncommon behaviors

Various search-based test generation techniques have been proposed to automate the process of test generation to fulfill different criteria (e.g., line coverage, branch coverage, mutation score, etc.). Despite these techniques' undeniable accomplishments, they still suffer from a lack of guidance coming from the data gathered from the production...

Soft-skill Profile Based Group Formation System

OKademy is a start-up that wants to improve the healthcare in the Netherlands by improving the process by which graduated medical students are being matched to a hospital team. This is needed since there is a lack of surgery<br/>assistants, while graduate students need to wait on average six months to start their work in a hospital. To match...

Late payment prediction of invoices through graph features

Keeping a steady cash flow is one of the biggest if not the biggest problem that Small to Medium Enterprises (SMEs) deal with daily. Within the different types of cash flow, Accounts Receivable (AR) classifies the balance of money that needs to be paid by the company's customers. In the most typical case, after receiving goods or services, the...

SCL-T: Template programming for Siemens SCL

Programmable Logic Controllers (PLCs) are used to control large scale systems with thousands of I/O devices. Writing and maintaining the logic for each of these is a cumbersome task, which is well suited to be abstracted through templating. For this purpose, CERN developed the Unicos Application Builder (UAB). While UAB is successful at...

Text-based conversational interface as an alternative to a crowdsensing mobile application

Crowdsensing is a powerful tool to easily sense diverse physical environments by collecting data from an undefined network of people. With advancements in smartphone technology, there has been an increase in the use of mobile applications to perform crowdsensing tasks. However, previous work shows that mobile applications have issues with...

Data Lineage Editor

Governments require companies to be able to explain where their data is coming from and going to. Our client helps these companies by creating maps of their data landscapes. This is the concept of data lineage. There are various issues that arise in the workflow of figuring out and building data lineage diagrams. Our contributions here are...

Question answering with the RoboTutor Nao

This thesis project worked towards extending the interactive capabilities of the RoboTutor Nao, by enabling it to answers natural language questions about topics such as computers, robots and the Nao itself. The main questions we focused on were 1) what a system for answering questions in Dutch and intended for elementary school age children...