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de Beer, Arne (author)
This paper presents a study focused on developing an efficient signal processing pipeline and identifying suitable machine learning models for real-time gesture recognition using a testbed consisting of an Arduino Nano 33 BLE and three OPT101 photodiodes. Our research aims to address the challenges of limited computational power whilst...
bachelor thesis 2023
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Raats, J.M. (author), Van der Zwan, L.F. (author)
The Investment Department of ING asked us to build a model that predicts customer loyalty using the Net Promoter Score (NPS) system and a dashboard that would show the results of the model. With this model and dashboard ING may be able to get an insight into which groups of customers are at risk to complain.
bachelor thesis 2015
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Narchi, William (author)
This paper presents how a convolutional neural network can be constructed in order to recognise gestures using photodiodes and ambient light. A number of candidates are presented and evaluated, with the most performant being adopted for in-depth analysis. This network is then compressed in order to be ran on an Arduino Nano 33 BLE...
bachelor thesis 2022
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de Lange, Matthijs (author)
In recent years, the practice of risk-assessment has started to utilize machine learning to take in larger data sets and improve prediction accuracy. Simultaneously, it has expanded into the sentencing stage of the criminal justice system. This paper analyzes the effect of these developments on the consideration of the theories of punishment...
bachelor thesis 2021
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Kargul, Radek (author)
Spending time in front of screens has become an inescapable activity, which might be interrupted by unrelated external causes. While automatic approaches to identify mind-wandering (MW) have already been investigated, past research was done with self-reports or physiological data. This work explores automated detection utilizing solely facial...
bachelor thesis 2022
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Kok, Jim (author)
Analysing physical leakages (e.g. power consumption and electromagnetic radiation) of cryptographic devices can be used by adversaries to extract secret keys. Over the last couple of years, researchers have shown that machine learning has potential for this process. Machine learning models need to be fine-tuned to enhance key extraction...
bachelor thesis 2020
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Crijns, Lucas (author)
This project aims to recreate intensity patterns using Fraunhofer diffraction as a means of simulation. These intensity patterns are created by phase shifting specific parts of an incoming field of light. These phase shifts are determined by a B-spline surface, which is in turn controlled by so-called control points. Only a handful of control...
bachelor thesis 2021
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Langhout, T.J. (author), van Leeuwen, S.A.J. (author), Ort, C.I. (author), Volkers, W.S. (author)
The Deal Analytics group of PricewaterhouseCoopers Amsterdam has requested a tool for automatising the business-to-business customer analysis. This analysis was performed manually, which left room for performance improvement. This report discusses how the a product was developed which automates the analyses After two weeks of initial research, a...
bachelor thesis 2020
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Han, Budi (author)
Personality disorders affect 1 in 7 adults reducing their quality of life. Schema-focused therapy (SFT) has become very popular in Psychotherapy in the treatment of personality disorders (PD), unfortunately there is still in increasing societal need for such mental healthcare. Automation in the assessment of SFT allows for Ecological Momentary...
bachelor thesis 2021
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Popica, Tudor (author)
This research investigates the improvement of Kernel Density Estimation (KDE) comprehension in a university context via visualization-enhanced teaching. The study tackles KDE misconceptions, the efficacy of visual aids, and the role of previous mathematical and machine learning knowledge. Using a mix of literature review, survey, and...
bachelor thesis 2023
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Wasei, E.A.A. (author)
Physics-Informed Neural Networks (PINNs) are a new class of numerical methods for solving partial differential equations (PDEs) that have been very promising. In this paper, four different implementations will be tested and compared. These include: the original PINN functional with equal weights for the interior and boundary loss, the same...
bachelor thesis 2020
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Joshi, Ayush (author)
Supply chains are vital to the global economy, and so, increasing efficiency in supply chain management is of utmost importance. Modernizing technology has allowed for various uses of machine learning to be possible in several aspects of supply chains, specifically in demand forecasting with prediction models, and customer relations with chat...
bachelor thesis 2021
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Harrison, Joe (author), Dikken, Olivier (author), van Peer, Dennis (author)
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...
bachelor thesis 2017
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van der Toorn, Eric (author)
A recent advancement in Reinforcement Learning is the capability of modelling opponents. In this work, we are interested in going back to basics and testing this capability within the Iterated Prisoner's Dilemma, a simple method for modelling multi agent systems. Using the self modelling advantage actor critic model, we set up a single agent...
bachelor thesis 2020
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Buszydlik, Aleksander (author)
Algorithmic recourse aims to provide individuals affected by a negative classification outcome with actions which, if applied, would flip this outcome. Various approaches to the generation of recourse have been proposed in the literature; these are typically assessed on statistical measures such as the validity of generated explanations or their...
bachelor thesis 2022
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van Groeningen, Boris (author)
Using RNA sequence data for predicting patient properties is fairly common by now. In this paper, Variational Auto-Encoders (VAEs) are used to assist in this process. VAEs are a type of neural network seeking to encode data into a smaller dimension called latent space. These latent features are then used to do downstream task analysis such as...
bachelor thesis 2021
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Al-Obaidi, Rami (author)
Clustering is a group of (unsupervised) machine learning algorithms used to categorize data into clusters. The most popular clustering algorithm is k-means clustering. K-means clustering clusters the data into k clusters where a cluster is represented by the mean of the data points called a centroid. Instead of using the mean as a centroid, a...
bachelor thesis 2021
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O'Dwyer Wha Binda, Jahson (author)
In recent years there has been an increase in the number of patients for issues relating to mental illness. To this effect to help with this increase, schema mode assessment through a conversation agent is being used to conduct schema therapy, a form of psychological treatment. To train such an agent, training data labeled by humans is necessary...
bachelor thesis 2021
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Rugină, Alissia (author)
Studies in Music Affect Content Analysis use varying emotion schemes to represent the states induced when listening to music. However, there are limited studies that explore the translation between these representation schemes. This paper explores the feasibility of using machine learning models to translate from a dimensional scheme of Valence,...
bachelor thesis 2023
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Garack, Jonathan (author)
MalPaCa is an unsupervised clustering tool, which the main purpose is to cluster unidirectional network connections based on network behavior. The clustering is only based on non-intrusive (private) packet features such as transport and network header fields, and thus it has a strong potential use-case. This paper focuses on feature extraction...
bachelor thesis 2021
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