document

Reproducing a deep learning algorithm - when unstoppable expectations meet immovable reality

Jayaraman Nagamani, Srinath (author)

Investigating changes in forest cover has been an area of intense research for decades. From manual surveys to remote sensing we have come a long way in mapping the world around us. Machine learning and its' younger sibling, deep learning, have emerged as highly useful tools on this journey. There are a wide variety of algorithms that take a...

master thesis 2022

document

A Conversational Agent for Stress First Aid: Mental Well-being Awareness for Police Officers

Cromjongh, Robin (author)

Police officers are exposed to many potentially traumatising and stressful situations, but they do not always find the right mental health help they need. In this thesis, conversational agent Robyn is developed to help officers keep an eye on their mental well-being and find help when needed. An evaluation approach is also presented. The...

master thesis 2022

document

Automated testing for self-driving cars using real-world roads

Roseboom, Bart (author)

Cyber-physical systems are complex systems constructed from different independent parts. A self-driving car is an example of a cyber-physical system where independent parts have to come together in order to result in a car that is able to drive by itself. The main challenge is finding failures within the interactions between the independent...

master thesis 2022

document

Classifying Continuous Labels: A Simple Tweak to Make Regression Robust

Bao, Ziyu (author)

Regression is difficult because of noise, imbalanced data sampling, missing data, etc. We propose a method by classifying the continuous regression labels to tackle regression robustness problems. We analyze if our method can help regression, given that the class information is already included in the regression labels. We start by extensively...

master thesis 2022

document

Self-supervised Audio-reactive Music Video Synthesis: Measuring and optimizing audiovisual correlation

Brouwer, Hans (author)

Synthesizing audio-reactive videos to accompany music is challenging multi-domain task that requires both a visual synthesis skill-set and an understanding of musical information extraction. In recent years a new flexible class of visual synthesis methods has gained popularity: generative adversarial networks. These deep neural networks can be...

master thesis 2022

document

Representation counts: the impact of embedding models on disease detection tasks from microbiome sequencing data

Strocchi, Mattia (author)

The human microbiome, the ensemble of microorganisms found in and on the human body, plays a key role in human health and disease. However, the current state of microbiome analysis represents a significant challenge for machine learning algorithms. Datasets of microbiome sequences are often characterized by a regime of large dimensionality and...

bachelor thesis 2022

document

Pruning Latent Neurons in Autoencoders using Early-Bird Tickets

Klazinga, Rembrandt (author)

Autoencoders seek to encode their input into a bottleneck of latent neurons, and then decode it to reconstruct the input. However, if the input data has an intrinsic dimension (ID) smaller than the number of latent neurons in the bottleneck, this encoding becomes redundant. <br/>In this paper, we study using the Early-Bird (EB) technique, a...

master thesis 2022

document

A BDI-based Virtual Agent for Training Child Helpline Counsellors

Grundmann, Sharon (author)

Around the world, child helplines through their services provide a safe and confidential space for children to be heard and empowered. The Dutch Kindertelefoon is one of such helplines providing counselling services to children via call and chat all year round. In this thesis, we explore the design of a conversational agent for training...

master thesis 2022

document

Code Smells & Software Quality in Machine Learning Projects

van Oort, Bart (author)

Artificial Intelligence (AI) and Machine Learning (ML) are pervasive in the current computer science landscape. Yet, there still exists a lack of Software Engineering (SE) experience and best practices in this field. One such best practice, static code analysis, can be used to find code smells, i.e., (potential) defects in the source code,...

master thesis 2021

document

Memory-Constrained Fluid Simulation on the GPU

Raateland, Wouter (author)

Grid-based fluid simulations are often limited in resolution by their high memory usage and computational costs. One approach to reducing memory usage and computational costs is to vary the grid resolution over the spatial domain. We introduce DCGrid, a new data structure for fluid simulations. DCGrid is suited for instantiation in GPU memory...

master thesis 2021

document

Clustering small and medium sized Dutch enterprises using hybrid intelligence

Sharma, Shipra (author)

We are living in a world full of data. Data capture the characteristics of any entity around us, like living species, properties of scientific experimentation, etc. Moreover, data provides a basis for further analysis, reasoning, or decision-making. One of the most common applications of data analysis is to group data into a set of clusters to...

master thesis 2021

document

In silico detection of variable number tandem repeats associated with Alzheimer’s disease from short-read sequencing data

Lucas, Francesca (author)

Motivation: Alzheimer’s disease (AD) is a highly prevalent disease whose genetic risk factors remain largely unknown. One potential genetic risk factor is tandem repeat expansions, which have been associated with over 40 diseases, most of which affect the nervous system. Detecting VNTRs from short-read data is a challenging task, leaving many...

master thesis 2021

document

Performance of the Dejavu audio fingerprinting framework in music identification in movies

Struharová, Natália (author)

Audio fingerprinting is one of the standard solutions for music identification. The underlying technique is designed to be robust to signal degradation such that music can be identified despite its presence. One of the newly emerged applications of a possibly challenging nature is music identification in movies. This paper examines the audio...

bachelor thesis 2021

document

Investigation on post-quantum digital signature systems based on multivariate equations

Cristea-Enache, Matei (author), Dekhuijzen, Lola (author), Mazzola, Gabriele (author), Feldman, Feldman (author)

The NIST Post-Quantum Cryptography standardisation process has called for new algorithms, for the purpose of finding and standardising new cryptographic algorithms, able to withstand attacks enabled by future quantum processing progress. Digital signature schemes are fundamental for validating authenticity and integrity of digital documents. In...

bachelor thesis 2021

document

A Comparison of Code-Based Cryptosystems

Dekhuijzen, Lola (author)

The NIST PQC Standardization Process aims to find new cryptographic standards resistant to both classical and quantum computers. Several categories of cryptographic schemes are currently being evaluated by both NIST and the cryptographic community. Schemes are compared against one another with an emphasis on security, run-time performance, and...

bachelor thesis 2021

document

Investigation on NIST post-quantum lattice-based encryption schemes

Mazzola, Giacomo (author)

In the last decade, development in quantum computing has threatened the security of current public-key cryptography. For this reason, the American National Institute of Standards and Technology (NIST) has organized a competition-like process to<br/>standardize new quantum-resistant public-key encryption and digital signature schemes. This...

bachelor thesis 2021

document

Investigation on lattices- and code-based post-quantum signature cryptosystems

Feldman, Feldman (author), Cristea-Enache, Matei (author), Dekhuijzen, Lola (author), Mazzola, Giacomo (author)

As quantum-resistant cryptosystems will soon benecessary, the NIST has organized a contest aim-ing to its standardization. The proposed schemesmust be evaluated and thoroughly investigated tonotably ensure their security and compare their per-formance. This paper will explore various lattices-based (pqNTRUSign, BLISS, Dilithium, Falcon,qTesla)...

bachelor thesis 2021

document

Multi-Functional Privacy-Preserving Data Aggregation: With Malicious User Detection

Koster, Martin (author)

In practice, many applications like traffic monitoring and smart grids rely on computing functions on privacy-sensitive data. In order to protect privacy-sensitive data and still keep the ability to compute any arbitrary function, multi-functional privacy-preserving data aggregation schemes have been created. These schemes, however, can be...

master thesis 2021

document

A Recommender System for a Legal Search Engine

van der Werf, M.P.C. (author), Nelen, J.W. (author), van Graft, T.R.D. (author), Nederlof, J.M. (author)

Bluetick offers a juridical research platform that enables lawyers to search for cases and jurisprudence efficiently. Most Dutch legal alternatives are still old-fashioned search engines. Bluetick wants to move towards a zero-search-based approach where the system learns about the user's preference and provides them with recommendations. For the...

bachelor thesis 2021

document

Quaternion PCA and sparse PCA for shape variability

van Steijn, Z.A. (author)

Principal component analysis (PCA) is commonly used in the fields of computer graphics and geometry processing for constructing subspaces that represent the variability present in a dataset. Examples of such datasets are configurations of a non-rigid object, poses of a deformable character or snapshots from a simulation. By applying PCA to the...

master thesis 2020