Final report for project Gymplanner

This thesis concludes the final report which has been performed for the company Gymplanner. At the same time it is the summary for our bachelor end project, thus it is considered the bachelor thesis for our Computer Science Bachelor Degree

Multimodal sensory pipeline for Interactive Robots

Interactive Robotics aims to familiarize children with robotics, which they try to do with their RoboTutor. Towards this goal they developed a platform for controlling the robots but this platform only worked for the Nao robot and not for the Pepper robot.<br/>So for our bachelor end project we have been asked to build a connection tunnel...

Question classification according to Bloom's Revised Taxonomy

FeedbackFruits is a company that provides tools for educators to organize their courses. The company is currently working on aiding teachers in aligning course material and assessment. Aligning the two provides students with clear expectations and can lead to an increase in learning [1]. Aligning course material and assessment is usually done by...

Teaching critical thinking through argument mapping

During this project we have created a product for the company FeedbackFruits to promote critical thinking in education. Research has shown that argument mapping is a promising method to promote critical thinking. Several existing related platforms were analyzed to draw lessons from their experience. Literature research revealed that product...

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...

A community-evolution based approach for detecting the echo chamber effect in recommender systems

Information systems, such as information retrieval machines and recommendation systems, utilize various user information and history behaviors to provide personalized content to users. However, a debate on whether the personalization in information systems can trigger the online echo chamber effect has emerged. The online echo chamber effect...

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...

Understanding and Prediction of User Behavior in Online Social Networks: the Case of GitHub

Along with the continuous development of Internet technology, Online Social Networks (OSNs) have gradually become the most popular platforms for content creation, information sharing and communications between users on the Internet. Understanding and prediction of user behavior in OSNs are essentially valuable. In the past few decades, machine...

Evaluating Recommendation Algorithms Based on U-I Matrix Property Analysis

Recent years, recommender systems are more and more important for solving information overload problem. They sort through massive data to provide users with personalized content and services. Most researchers focus on designing new algorithms to increase the performance of recommender systems. However, some open challenges stand: Why the...

Diffusion based temporal network embedding for link prediction

Link prediction in complex networks has attracted increasing attention. The link prediction algorithms can be used to retrieve missing information, identify spurious interactions, capturing net- work evolution, and so on. Recently, network embedding has been proposed as a new strategy to embed network into low-dimensional vector space. By...