Fieke Hillerström graduates on Deep Verification Learning

by Fieke Hillerström Deep learning for biometrics has increasingly gained attention over the last years. Due to the expansion of computational power and the increasing sizes of the available datasets, the performance has surpassed that of humans on certain verification tasks. However, large datasets are not available for every application. Therefore we introduce Deep Verification … Continue reading “Fieke Hillerström graduates on Deep Verification Learning”

Rutger Varkevisser graduates on Large Scale Online Readability Assessment

by Rutger Varkevisser The internet is an incredible resource for information and learning. By using search engines like Google, information is usually just a click away. Unless you are a child, in which case most of the information on the web is either (way) too difficult to read and/or understand, or impossible to find. This … Continue reading “Rutger Varkevisser graduates on Large Scale Online Readability Assessment”

Jeroen Vonk graduates on Bisimulation reduction with MapReduce

by Jeroen Vonk Within the field of Computer Science a lot of previous and current research is done on model checking. Model checking allows researchers to simulate a process or system, and exhaustively test for wanted or non-wanted properties. Logically, the result of these test are as dependable as your model represents the actual system. … Continue reading “Jeroen Vonk graduates on Bisimulation reduction with MapReduce”

Marco Schultewolter graduates on Verification of User Information

by Marco Schultewolter Often, software providers ask users to insert personal data in order to grant them the right to use their software. These companies want the user profile as correct as possible, but users sometimes tend to enter incorrect information. This thesis researches and discusses approaches to automatically verify this information using third-party web … Continue reading “Marco Schultewolter graduates on Verification of User Information”

Steven Verkuil graduates on Reference Extraction Techniques

Journal Citation Statistics for Library Collections using Document Reference Extraction Techniques by Steven Verkuil Providing access to journals often comes with a considerable subscription fee for universities. It is not always clear how these journal subscriptions actually contribute to ongoing research. This thesis provides a multistage process for evaluating which journals are actively referenced in … Continue reading “Steven Verkuil graduates on Reference Extraction Techniques”

Niels Visser graduates on automated web harvesting

Fully automated web harvesting using a combination of new and existing heuristics by Niels Visser Several techniques exist for extracting useful content from web pages. However, the definition of 'useful' is very broad and context dependant. In this research, several techniques – existing ones and new ones – are evaluated and combined in order to … Continue reading “Niels Visser graduates on automated web harvesting”

Maurice Bolhuis graduates on Estimating Creditworthiness using Uncertain Online Data

Estimating Creditworthiness using Uncertain Online Data by Maurice Bolhuis The rules for credit lenders have become stricter since the financial crisis of 2007-2008. As a consequence, it has become more difficult for companies to obtain a loan. Many people and companies leave a trail of information about themselves on the Internet. Searching and extracting this … Continue reading “Maurice Bolhuis graduates on Estimating Creditworthiness using Uncertain Online Data”

Anne van de Venis graduates on Recommendations using DBpedia

Recommendations using DBpedia: How your Facebook profile can be used to find your next greeting card by Anne van de Venis Recommender systems (RS) are systems that provide suggestions that users may find interesting. In this thesis we present our Interest-Based Recommender System (IBRS) that can recommend tagged item sets from any domain. This RS … Continue reading “Anne van de Venis graduates on Recommendations using DBpedia”

Han van der Veen graduates on composing a more complete and relevant Twitter dataset

Composing a more complete and relevant Twitter dataset by Han van der Veen Social data is widely used by many researchers. Facebook, Twitter and other social networks are producing huge amounts of social data. This social data can be used for analyzing human behavior. Social datasets are typically created by a hashtag, however not all … Continue reading “Han van der Veen graduates on composing a more complete and relevant Twitter dataset”

Vincent van Donselaar graduates on database synchronization

Low latency asynchronous database synchronization and data transformation using the replication log by Vincent van Donselaar Analytics firm Distimo offers a web based product that allows mobile app developers to track the performance of their apps across all major app stores. The Distimo backend system uses web scraping techniques to retrieve the market data which … Continue reading “Vincent van Donselaar graduates on database synchronization”