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Ntasi, Nikola (author)
Chatbots are tools that can potentially be utilized in chat-based child helpline training. In this type of training, the quality of the feedback received is of vital importance. This paper aims to analyze the automated feedback generated by such a chatbot. The domains analyzed include user comprehension, usefulness, and potential improvement...
bachelor thesis 2023
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Brinkman, Anne (author)
Background: The lack of access to electric powered wheelchairs for disabled people in low- and middle-income countries, that suit their rural environments, still remains an issue. Current available electric powered wheelchairs that do adapt to these rural environments are expensive and require complex control algorithms.<br/>Objective: The aim...
master thesis 2023
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Freese, M. (author), Bekebrede, G. (author)
Cards for Biosafety is a serious game, which was developed as part of a national research project. The aim of this game is to let young biotechnology researchers learn about risks and mitigation measures in different biotechnology environments. To evaluate the game and its learning objective, an online questionnaire was developed and distributed...
conference paper 2023
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Draws, T.A. (author), Roy, N. (author), Inel, Oana (author), Rieger, A. (author), Hada, Rishav (author), Yalcin, Mehmet Orcun (author), Timmermans, Benjamin (author), Tintarev, N. (author)
Adverse phenomena such as the search engine manipulation effect (SEME), where web search users change their attitude on a topic following whatever most highly-ranked search results promote, represent crucial challenges for research and industry. However, the current lack of automatic methods to comprehensively measure or increase viewpoint...
conference paper 2023
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Harte, Jesse (author), Zorgdrager, Wouter (author), Louridas, Panos (author), Katsifodimos, A (author), Jannach, Dietmar (author), Fragkoulis, M. (author)
Sequential recommendation problems have received increasing attention in research during the past few years, leading to the inception of a large variety of algorithmic approaches. In this work, we explore how large language models (LLMs), which are nowadays introducing disruptive effects in many AI-based applications, can be used to build or...
conference paper 2023
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Kerkhof, Maikel (author), Wu, L. (author), Perin, G. (author), Picek, S. (author)
Deep learning is a powerful direction for profiling side-channel analysis as it can break targets protected with countermeasures even with a relatively small number of attack traces. Still, it is necessary to conduct hyperparameter tuning to reach strong attack performance, which can be far from trivial. Besides many options stemming from the...
journal article 2023
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Hulstijn, Joris (author), Tchappi, Igor (author), Najjar, Amro (author), Aydoğan, Reyhan (author)
Recommender systems aim to support their users by reducing information overload so that they can make better decisions. Recommender systems must be transparent, so users can form mental models about the system’s goals, internal state, and capabilities, that are in line with their actual design. Explanations and transparent behaviour of the...
conference paper 2023
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Theodorakopoulos, Dimitris (author)
In the field of Information Retrieval (IR), the reliable evaluation of systems is a key component in order to progress the state-of-the-art. Much of IR research focuses on optimizing the various aspects of evaluation. Stochastic simulation is one technique that can be used to assist this kind of research. It allows researchers to overcome...
master thesis 2022
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Hafsteinsdóttir, Gudrun Birta (author)
The popularity of Bus Rapid Transit (BRT) has been growing rapidly over the past years, where more and more cities add BRT to their public transport systems. Roundabouts are also growing and are popular intersection designs because they are one of the safest types of intersections and improve traffic flow. It is, therefore, likely that in some...
master thesis 2022
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Hogerheijde, Jorg (author)
master thesis 2022
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Oedayrajsingh Varma, Vanisha (author)
Many artificial intelligence (AI) systems are built using black-box machine learning (ML) algorithms. The lack of transparency and interpretability reduces their trustworthiness. In recent years, research into explainable AI (XAI) has increased. These systems are designed to tackle common ML issues such as trust, accountability, and transparency...
bachelor thesis 2022
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Marbot, Tanguy (author)
The spread of AI techniques has lead to its presence in critical situations, with increasing performance that can compromise on its understanding. Users with no prior AI knowledge rely on these techniques such as doctors or recruiters with a need for transparency and comprehensibility of the mechanisms. The advent of Explainable Artificial...
bachelor thesis 2022
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Both, Julian (author)
Nitrogen emissions contribute significantly to climate change, especially in the Netherlands around Natura-2000 areas, and one of the main contributors is manure. However, not only does manure usually have high nitrogen emissions, a lot of it is in the form of ammonia, which in itself is very energy-intensive to create. Therefore MEZT developed...
master thesis 2022
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Mittal, A. (author), Scholten, L. (author), Kapelan, Z. (author)
Urban water management (UWM) is a complex problem characterized by multiple alternatives, conflicting objectives, and multiple uncertainties about key drivers like climate change, population growth, and increasing urbanization. Serious games are becoming a popular means to support decision-makers who are responsible for the planning and...
journal article 2022
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Apruzzese, Giovanni (author), Pajola, Luca (author), Conti, M. (author)
Enhancing Network Intrusion Detection Systems (NIDS) with supervised Machine Learning (ML) is tough. ML-NIDS must be trained and evaluated, operations requiring data where benign and malicious samples are clearly labeled. Such labels demand costly expert knowledge, resulting in a lack of real deployments, as well as on papers always relying...
journal article 2022
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Izadi, M. (author), Ahmadabadi, Martin Nili (author)
NLP-based models have been increasingly incorporated to address SE problems. These models are either employed in the SE domain with little to no change, or they are greatly tailored to source code and its unique characteristics. Many of these approaches are considered to be outperforming or complementing existing solutions. However, an important...
conference paper 2022
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Aldea, Anna (author)
This master’s thesis reports on the development of a tool intended to support the evaluation of a Human-Machine-Interface (HMI) through the use of Virtual Reality Technology. The project was initiated and supervised by SWOV, the Dutch Institute for Road Safety Research, as part of the MEDIATOR Project, which tackles the challenge of developing a...
master thesis 2021
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Kirschstein, Alex (author)
Alternative forms of dwelling, and collaborative housing models in particular, are again gaining an increasing amount of interest in the architectural discourse. Although not a new topic, there is a noticeable lack of research on how existing cohousing projects, that were established decades ago, have developed in practice. Among other counties...
student report 2021
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Wever, Cas (author)
Music indexing, the practice of identifying songs contained in an audio sample, is an approach that is widely used. As an underlying technique, "audio fingerprinting" can be used. In this technique, an audio sample is converted to a fingerprint; a smaller representation of the audio. This fingerprint is compared to a database of fingerprinted...
bachelor thesis 2021
document
Nonnemaker, Alec (author)
To aid in damage assessment, creating 3D reconstruction from borescope videos of jet engines could be very beneficial. However, jet engines often have shiny and non-textured surfaces, and the performance of 3D reconstruction methods is unknown in this case. This paper aims to qualitatively and quantitatively evaluate Structure from Motion (SfM)...
bachelor thesis 2021
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