Searched for: contributor%3A%22Reinders%2C+M.J.T.+%28graduation+committee%29%22
(1 - 20 of 44)
- document
-
van Wijngaarden, Matthijs (author)Large chemical reaction databases often suffer from incompleteness, such as missing molecules or stoichiometric information. Concurrently, numerous computational models are being developed in predictive chemistry that rely on reaction databases and would hugely benefit from complete reaction equations. Also, research in sustainable chemistry...master thesis 2023
- document
-
Poulakakis Daktylidis, Stelios (author)There exists a fundamental gap between human and artificial intelligence. Deep learning models are exceedingly data hungry for learning even the simplest of tasks, whereas humans can easily adapt to new tasks with just a handful of samples. Unsupervised few-shot learning (U-FSL) aspires to bridge this gap, without relying on costly annotations....master thesis 2023
- document
-
Ries, Maxmillan (author)Training deep learning models for time-series prediction of a target population often requires a substantial amount of training data, which may not be readily available. This work addresses the challenge of leveraging multiple related sources of time series data in the same feature space to improve the prediction performance of a deep learning...master thesis 2023
- document
-
Sīpols, Emīls (author)Federated learning (FL) has emerged as a promis-ing approach for training machine learning models using geographically distributed data. This paper presents a comprehensive comparative study of var-ious machine learning models in the context of FL. The aim is to evaluate the efficacy of these models in different data distribution scenarios and...bachelor thesis 2023
- document
-
Federated learning: a comparison of methods: How do different Federated Learning frameworks compare?Cristea, Vlad (author)Federated Learning is a machine learning paradigm for decentralized training over different clients. The training happens in rounds where each client learns a specific model which is then aggregated by a central server and passed back to the clients. Since the paradigm’s inception, many frameworks that provide Federated Learning tools and...bachelor thesis 2023
- document
-
Grzejdziak, Michał (author)Neural networks are commonly initialized to keep the theoretical variance of the hidden pre-activations constant, in order to avoid the vanishing and exploding gradient problem. Though this condition is necessary to train very deep networks, numerous analyses showed that it is not sufficient. We explain this fact by analyzing the behavior of the...master thesis 2023
- document
- ter Horst, Ynze (author) master thesis 2023
- document
-
Hendriks, Manon (author)Maasstad Hospital is a member of the Santeon hospital group. The ambition of Santeon is to improve healthcare for patients. The project in this internship also aims to improve patients’ health, specifically patients in the Intensive Care Unit (ICU).<br/>The treatment of respiratory insufficient patients in the ICU consists of High Flow Nasal...master thesis 2023
- document
-
de Boer, Jurrian (author)Recent advancements in quantification of repair outcomes of CRISPR-Cas9 mediated double-stranded DNA breaks (DSBs) have allowed for the use of machine learning for predicting the frequencies of these repair outcomes. Local DNA sequence context influences the frequencies of mutations that arise when DNA gets repaired after it is targeted by...master thesis 2022
- document
-
van der Wal, Robin (author)Multiple Instance Learning (MIL) is a type of semi-supervised machine learning used recently in medical and multi-media fields. In MIL, instead of a single feature vector, a set of feature vectors has to be classified. Standard MIL algorithms assume that only some of these vectors are useful for building a classifier. This paper extends the...master thesis 2022
- document
-
Goossens, Sander (author)Motivation: Many tumors show deficiencies in DNA damage repair. These deficiencies can play a role in the disease, but also expose vulnerabilities with therapeutic potential. Targeted treatments exploit specific repair deficiencies, for instance based on synthetic lethality. To decide which patients could benefit from such therapies requires the...master thesis 2022
- document
-
Freyer, Caroline (author)Outlier detection in time series has important applications in a wide variety of fields, such as patient health, weather forecasting, and cyber security. Unfortunately, outlier detection in time series data poses many challenges, making it difficult to establish an accurate and efficient detection method. In this thesis, we propose the Random...master thesis 2022
- document
-
Keukeleire, Pia (author)Cell-free DNA (cfDNA) are DNA fragments originating from dying cells that enter the plasma. Uncontrolled cell death, for example caused by cancer, induces an elevated concentration of cfDNA. As a result, determining the cell type origins of cfDNA can provide information about an individual's health. This research looks into how to increase the...master thesis 2022
- document
-
Drummer, Francesca (author)Single-cell sequencing allows measuring individual cells' molecular features and their responses to perturbations. Understanding which cells respond to a particular perturbation and how these responses vary across populations can be used to, for example, improve vaccine immunogenicity. However, an exhaustive exploration of single-cell...master thesis 2022
- document
-
Becheanu, Luca (author)This paper introduces the concept of the Voronoi Split-Screen in Augmented Reality inside a Sailing Regatta visualization application. We are making use of existing methods in 2D environments and modifying them to treat the implications of merging the screen where a user has complete camera control (3D/AR/VR). This is done in three phases which...bachelor thesis 2022
- document
-
Jonker, Luc (author)For mobile augmented or virtual reality applications with limited processing power, representing realistic water geometry is a challenge. Many existing solutions are simulations that can only run at interactive rates on desktop computers. This paper presents a lightweight approximative approach to water representation achieved through mesh LOD...bachelor thesis 2022
- document
-
Botha, Christiaan (author)Clustering forms a major part of showing different relations between data points. Real-time clustering algorithms can visualise relationships between elements in a 3D environment, provide an analysis of data that is separate from the underlying structure and show how the data changes over time. <br/>This paper analyses whether conventional...bachelor thesis 2022
- document
-
Lungu, Alexandru (author)This paper proposes a novel approach to visualizing events in sailing regattas, in a way that is engaging, informative and interactive to the users of the Sailing+ application. The approach used was to create two different types of visualizations for each type of event: artistic, which contains animations and effects such as depth of field, and...bachelor thesis 2022
- document
-
Bobe, Alexandru (author)Scheduling is required in almost every industry and when done well it can bring a lot of revenue. Flexibility is often forgotten when creating the initial schedules. Therefore, in case of an unexpected delay, the whole schedule has to suffer. In this paper, we consider a re-entrant flow shop with sequence-dependent setup times and relative due...bachelor thesis 2022
- document
-
van Delft, Amir (author)Critical constraints in re-entrant flexible manufacturing systems(FMSs) schedules are those constraints that for some change to their weight (and only the weight), could make the sequence of operation in the schedule infeasible. This paper describes how to find critical constraints by representing the benchmark as a graph and finding its...bachelor thesis 2022
Searched for: contributor%3A%22Reinders%2C+M.J.T.+%28graduation+committee%29%22
(1 - 20 of 44)