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Shared Perspectives on Perceptual Features for Query by Example in E-Commerce Systems

Valle Torre, Manuel (author)

In this thesis, we focus on database query processing for so-called experience items, i.e., items commonly encountered in E-Commerce systems such as books, games or movies which are better described by their perceived subjective consumption experience, or Perceptual Features, than by factual meta-data normally used in SQL-style queries. To...

master thesis 2018

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Image colourization by neural style

Boumans, Thijs (author)

Image colourization is the task of providing colour to grayscale images or videos. Image colourization can be valuable to the entertainment industry and of cultural interest. Current methods colourize images by either providing an interface for easier colourization by a person or by using an automatic method which nowadays are often driven by a...

master thesis 2018

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A Distributed Public Key Infrastructure for the IoT

Hoogland, Mathijs (author)

The role of Internet of Things (IoT) devices is becoming larger in our day-to-day life. More and more, devices are used to help with simple tasks in our lives. Little computers are installed in a large variety of consumer products and are often connected to the internet. The large increase of these “resource-constrained” devices that are...

master thesis 2018

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Designing robot behavior to stimulate self-disclosure of introverted and extraverted children during an initial interaction

Fernhout, Timo (author)

The purpose of this thesis is to design robot behavior that stimulates self-disclosure of introverted and extraverted children during an initial interaction. This was done by designing two styles of robot behavior. One behavior style that was specifically adapted to introverted children and one behavior style that was specifically adapted to...

master thesis 2018

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Detecting phenological transition dates of vegetation based on multiple deep learning models

Cheng, Zhaoyang (author)

Vegetation phenology is the interaction between vegetation activities and ecosystem. Accurate monitoring of vegetation phenology is required to build models and enhance the understanding of the relationship between creatures and climate-environment. PhenoCam is a ground-level, webcam based images database recording the growing of various...

master thesis 2018

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Modeling User Dynamics for Item Recommendation

Andreas Christian Pangaribuan, Andreas (author)

Users may show a behavioral pattern in consuming the items. For example, one might assume that a user is interested in comedy movies when this user watches comedy movies frequently. Recommender systems are designed to understand the preference of a user from his interactions with the items and suggest items that correspond to his preference....

master thesis 2018

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Design and evaluation of a BDI-based Virtual Patient for the Education of Shared Decision Making

Lie, Han (author)

On a regular basis doctors need to hold difficult conversations with patients. In shared decision making (SDM) conversations patients and doctors work together to get to a medical decision by talking about the patients preferences and values and the possible options and their respective risks and benefits. Good communication through the use of...

master thesis 2018

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The analysis of three-dimensional embeddings in Virtual Reality

Grisel, Bastiaan (author)

Dimensionality reduction algorithms transform high-dimensional datasets with many attributes per observation into lower-dimensional representations (called embeddings) such that the structure of the dataset is maintained as well as possible. In this research, the use of Virtual Reality (VR) to analyse these embeddings has been evaluated and...

master thesis 2018

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Extraction and combination of multidimensional point-of-interest features for the classification of urban place types

Milias, Vasileios (author)

The digital representations of physical places, known as Points-Of-Interest (POIs), have been the core element of various studies and platforms such as online mapping services (e.g. Google Maps) and location based social networks (e.g. Foursquare). The use of POIs as proxies of the real-world-places facilitates the study of places, urban...

master thesis 2018

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The impact of image filters on machine classification and human perception of weather conditions

Valsamos, Charalampos Michail (author)

Nowadays with the growth of social media, users upload millions of photos in different platforms online. Researchers in the field of computer vision devote their time and effort to analyze images in order to gain valuable insight. Data<br/>analysis and classification can be impeded by different factors. One of which is the image filters that are...

master thesis 2019

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Fitness-based Linkage Learning in the Real-Valued Gene-pool Optimal Mixing Evolutionary Algorithm

Olieman, Chantal (author)

The recently introduced Real-Valued Gene-pool Optimal Mixing Evolutionary Algorithm (RV-GOMEA) has been shown to be among the state-of-the-art for solving grey-box optimization problems where partial evaluations can be leveraged. A core strength is its ability to effectively exploit the linkage structure of a problem. For many real-world...

master thesis 2019

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Solving a real-world rail maintenance scheduling problem

Oudshoorn, Menno (author)

The rail network in the Netherlands is one of the busiest in Europe. To ensure a safe and reliable infrastructure, preventive maintenance is of utmost importance. ProRail, the sole maintainer of the railway infrastructure in the Netherlands, spends hundreds of millions of dollars on maintenance each year. Due to the complexity and busyness of...

master thesis 2019

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CAML-IDS: A framework for the correct assessment of machine learning-based intrusion detection systems

Vermeer, Mathew (author)

The Internet is a relatively new technology that the world has become immensely dependent on. It is a tool that makes it possible to simplify our lives and better our society. But as with many things, there are people who with to exploit this tool we have for their own malicious gain. One of the mechanisms that we can use for protection against...

master thesis 2019

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Inadvertently Making Cybercriminals Rich: A Comprehensive Study of Cryptojacking Campaigns at Internet Scale

Bijmans, Hugo (author)

Cryptojacking, a phenomenon also known as drive-by cryptomining, involves stealing computing power from others to be used in illicit cryptomining. While first observed as host-based infections with low activity, the release of an efficient browser-based cryptomining application -- as introduced by Coinhive in 2017 -- has skyrocketed...

master thesis 2019

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Trunk-Branch Ensemble Convolutional Neural Networks for Large Scale, Few-Shot Video-to-Still Face Recognition

Chen, Joe (author)

For the real-world face recognition, factors such as occlusion and pose-variant (cross face) would affect the identification/verification performance. In addition, large number of classes also increase the complexity, which makes verification/identification even harder. In order to deal with these issues, how to extract discriminative embeddings...

master thesis 2019

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Crowdsourced Knowledge Base Construction using Text-Based Conversational Agents

Enreina Annisa Rizkiasri, Enreina (author)

Knowledge Base Construction (KBC) is a challenging and complex task involving several substeps and many experts of a knowledge domain. Crowdsourcing approach has been used to support KBC with promising scalability and output quality, but to enable even more people to participate in KBC, there is a need to broaden the pool of workers beyond the...

master thesis 2019

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Using Publisher Partisanship for Partisan News Detection: A Comparison of Performance between Annotation Levels

Yeh, Chia-Lun (author)

News is the main source of information about events in our neighborhood and around the globe. In an era of digital news, where sources vary in quality and news spreads fast, it is critical to understand what is being consumed by the public. Partisan news is news that favors certain political parties or ideologies. It is undesirable because news...

master thesis 2019

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Understanding the relationship between user emotion and latent musical features

Shastry, Aishwarya (author)

With the advent of Internet and resulting data boom, Recommender Systems have come to rescue by filtering the information available on the internet by providing us with relevant information. These systems come handy when one wants to listen to songs, watch movies or even buy products on the Internet. Primarily, these recommender systems used...

master thesis 2019

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Automated classification of satellite data of informal urban settlements

Zhou, Zequn (author)

Urban areas are rapidly expanding in developing countries. One of goals of the United Nations Human Settlement Programme (UN-Habitat) is to understand and guide urban development for some developing regions.<br/>Currently, the approaches that UN-Habitat is using cost plenty of workforce, material, and time. Therefore, UN-Habitat is interested in...

master thesis 2019

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One-Class Classification: for high-dimensional data

Elghlan, Faris (author)

This M.Sc. thesis report investigates the application of one-class classification techniques to complex high-dimensional data. The aim of a one-class classifier is to separate target data from non-target data, but only a dataset containing target data is available for training. The issue with high-dimensional data is that it is difficult to...

master thesis 2019