document

Dirty Entity Resolution starring Locality-Sensitive Hashing on Incoherent and Incomplete Distributed Big Data: A Feasibility Study

Geukes, Colin (author)

In real-world scenarios, users provide invaluable data; however, this data is inherently incoherent, incomplete, and duplicated, i.e., different data rows refer to the same real-world object. Merging duplications to a single entry broadens the knowledge of a given real-world object represented within a data set. Applying a straightforward cross...

master thesis 2023

document

GGANet: Algorithm Unrolling for Water Distribution Networks Metamodelling

Solà Roca, Albert (author)

Water distribution networks (WDNs) provide drinking water to urban and rural consumers through a network of pipes that transport water from reservoirs to junctions. Water utilities rely on tools such as EPANET to simulate and analyse the performance of water distribution networks (WDNs). EPANET solves the flow continuity and headloss equations...

master thesis 2023

document

Online state migration in modern stream processing engines

Veneti, Theodoros (author)

Stream Processing Engines (SPEs) are called upon to help solve problems around big and volatile data, while satisfying the needs for near real-time processing. In order for such systems to be considered effective solutions to such problems at scale, efficient elasticity and non dataflow-disturbing reconfiguration operations within are a...

master thesis 2023

document

A hybrid ML-based model for improved detection of IoT botnets

Gnanavarothayan, Kabilan (author)

The use of Internet of Things (IoT) devices has experienced an increase since its inception and is expected to continue to do so. However, this growth has also attracted individuals with malicious intentions. Botnet attacks on IoT devices have become more potent each year, exploiting new vulnerabilities and attacking more devices. Therefore, it...

master thesis 2023

document

Data Model for Computer Vision Explainability, Fairness, and Robustness

Karnani, Simran (author)

In recent years, there has been a growing interest among researchers in the explainability, fairness, and robustness of Computer Vision models. While studies have explored the usability of these models for end users, limited research has delved into the challenges and requirements faced by researchers investigating these requirements. This study...

master thesis 2023

document

Data-efficient resolution transfer with Continuous Kernel Convolutional Neural Networks

Haarman, Luuk (author)

Convolutional Neural Networks (CNNs) benefit from fine-grained details in high-resolution images, but these images are not always easily available as data collection can be expensive or time-consuming. Transfer learning pre-trains models on data from a related domain before fine-tuning on the main domain, and is a common strategy to deal with...

master thesis 2023

document

Web3Recommend: Decentralised recommendations with trust and relevance

Madhwal, Rohan (author)

Web3Recommend is a decentralized Social Recommender System implementation that enables Web3 Platforms on Android to generate recommendations that balance trust and relevance. Generating recommendations in decentralized networks is a non-trivial problem because these networks lack a global perspective due to the absence of a central authority....

master thesis 2023

document

First Deployed DAO with True Full Decentralisation

Planje, Brian (author)

Blockchain technology has allowed for the emergence of a new type of organization, the Decentralized Autonomous Organization (DAO). They have gained significant traction in recent years, reaching market capitalizations of up to 60 billion USD in 2021. These organizations coordinate economic activity by an unbounded group of people within an...

master thesis 2023

document

Incremental Snapshotting in Transactional Dataflow SFaaS Systems

Gavalas, Nikos (author)

The adoption of the serverless architecture and the Function-as-a-Service model has significantly increased in recent years, with more enterprises migrating their software and hardware to the cloud. However, most applications require state management, leading to the use of external databases. To alleviate the burden of state management, there...

master thesis 2023

document

Postoperative Pancreas Segmentation

Böhm, Dennis (author)

With a 5-year survival rate of only 9%, pancreatic cancer is one of the deadliest types of cancer. Among other things, this is caused by the extreme difficulty of diagnosing recurrent pancreatic cancer in an early stage. One of the important next steps in discovering pancreatic cancer automatically on a CT scan is finding healthy pancreatic...

master thesis 2023

document

Enhancing Historical Dutch OCR Accuracy with Post-Correction & Synthetic Data

Eckhardt, Thomas (author)

This paper presents a novel approach to synthetic data generation for OCR post-correction, utilizing specific background and font variations tailored to specific timeperiods. The goal is to use synthetic data to enhance text accuracy in digitized historical documents. The proposed three-step process involves generating synthetic images that...

master thesis 2023

document

Participatory AI in Marginalized Communities: Exploring Strategies for Inclusive Stakeholder Engagement in Algorithmic Development

El Moussaoui, Chakir (author)

In today's society, the rapid progression of digitization has led to the automation of various facets of human existence. This transformation has been facilitated by the utilization of algorithms, which are instrumental in driving efficient and effective automated processes. These algorithms have also found widespread adoption in the public...

master thesis 2023

document

Understanding the Role of Explanation Modality in AI-assisted decision-making

Robbemond, Vincent (author)

Advances in artificial intelligence and machine learning have led to a steep rise in the adoption of AI to augment or support human decision-making across domains.<br/>There has been an increasing body of work addressing the benefits of model interpretability and explanations to help end-users or other stakeholders decipher the inner workings of...

master thesis 2023

document

Behind the Botnet: Evaluating Avalanche's security controls using a reconstruction of its anatomy from forensic evidence

Miedema, Fieke (author)

How did Avalanche, a botnet with an active lifetime of 8 years while serving 20+ malware families, ensure a smooth operation of business? Avalanche had the attention of security researchers and law enforcement, yet it managed to persevere for a long period of time.<br/>In this work, we answer this question by analyzing Avalanche’s security...

master thesis 2022

document

Understanding weight-magnitude hyperparameters in training binary networks

Quist, Joris (author)

Binary Neural Networks (BNNs) are compact and efficient by using binary weights instead of real-valued weights. Current BNNs use latent real-valued weights during training, where several training hyper-parameters are inherited from real-valued networks. The interpretation of several of these hyperparameters is based on the magnitude of the real...

master thesis 2022

document

Investigating fair rankers under the expected exposure framework

Visser, Maaike (author)

As the amount of information available in the world grows, Information Retrieval (IR) systems have become an integral part of day to day life. They determine what subset of the large pool of information is shown to people. IR algorithms determine which items should be returned in response to a query and rank the results in a ranked list.<br/...

master thesis 2022

document

Deep Statistical Solver for Distribution System State Estimation

Habib, Benjamin (author)

Whereas in the past, Distribution Systems played a passive role in connecting customers to electricity, Distribution System Operators (DSOs) will have to take in the future a more active role in monitoring and regulating the network to deal with the new behaviors and dynamics of the system brought by the energy transition. State Estimation, a...

master thesis 2022

document

Predicting Delays in Software Deliveries using Networked Classification at ING

Moelchand, Pravesh (author)

Delays in the delivery of software projects and the corresponding cost and schedule overruns have been common problems in the software industry for years. A challenge within software project management is to make accurate effort estimations during planning. Software projects are complex networks, with multiple dependencies between software tasks...

master thesis 2022

document

Bi-VAKs: Bi-Temporal Versioning Approach for Knowledge Graphs

Meijer, Lisa (author)

Over time Linked Data collections are continuously subject to change because of numerous reasons. Users could insert new observations, or they could rectify erroneous statements in these knowledge graphs. In order not to lose historically import information, this trend of evolving Linked Data collections increases the need to version these...

master thesis 2022

document

Benchmarking of viral quasispecies assembly algorithms

Narkhede, Rucha (author)

Viral quasispecies refers to viral populations that comprises of numerous viral strains closely related to each other due to within-host evolution or co-infection. The reconstruction of viral strain-specific genomes using sequencing reads is referred to as viral quasispecies assembly, and it is also crucial to determine the relative abundances...

master thesis 2022