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Kuiper, Adrian (author)Commonsense knowledge is the key of human intelligence in generalizing their knowledge to deal with complex tasks. Over the past years, a lot of research has been done in both natural language processing (NLP) and computer vision (CV) on leveraging commonsense knowledge to improve AI models. However, no systematic comparisons of existing work...bachelor thesis 2022
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Pandey, Harshitaa (author)Machine learning is still one of the most rapidly growing fields, and is used in a variety of different sectors such as education, healthcare, financial modeling etc(Jordan and Mitchell 2015). However, along with this demand for machine learning algorithms, there comes a need for ensuring that these algorithms are fair and contain little to no...bachelor thesis 2022
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Noritsyna, Eva (author)The ability to identify and mitigate various risks and harms of using Machine Learning models in industry is an essential task. Specifically because these may produce harmful outcomes for stakeholders, including unfair or discriminatory results. Due to this there has been substantial research into the concepts of fairness and its metrics, bias...bachelor thesis 2022
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Rachwani, Sanjay (author)Commonsense knowledge (CK) in artificial intelligence (AI), is an expanding field of research. Because CK is intrinsically implicit, current datadriven machine learning models are still far from competent compared to humans in commonsense reasoning tasks. To minimize the gap between machine learning models with the goal of artificial general...bachelor thesis 2022
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Renţea, Ilinca (author)Commonsense knowledge is information that all humans own and use to interpret common situations and react to them accordingly. This kind of information is necessary for the training of artificial intelligence models to reach a performance as close as possible to human performance. Researchers have developed methods that use crowdsourcing to...bachelor thesis 2022
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Ziengs, Bart (author)Interpretability of ML models and image recognition models specifaclly, is a increasing problem. In this thesis, the design and implementation of Brickroutine: a system that used a trained model, is presented. Using human annotations, semantic interpretations are given to image classification problems. By giving an iterative approach in terms of...master thesis 2022
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Hoogland, Pavel (author)In the use of Machine Learning systems, attaining the trust of those that are the end-users can often be difficult. Many of the current state-of-the-art systems operate as Black-Boxes. Errors produced by these Black-Box systems, without further explanation as to why these decisions were made, will deteriorate trust. This effect is especially...master thesis 2022
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Somai, Ashay (author)This thesis looks at how to characterize weaknesses in machine learning models that are used for detecting privacy-sensitive data in images with the help of crowdsourcing. Before we can come up with a method to achieve a goal, we first need to make clear what we consider privacy-sensitive data. We took the General Data Protection Regulation ...master thesis 2021
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Beek, Django (author)As society's mutual problems grow, there is an increasing demand for understanding the intra- and inter-cultural differences. Rising polarization within national borders and stranded dialogues between nations on mutual problems, daily reach the headlines. It is argued that current models of opinion only scratch the surface of actual human...master thesis 2021
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van der Werf, Daan (author)In recent years financial fraud has seen substantial growth due to the advent of electronic financial services opening many doors for fraudsters. Consequently, the industry of fraud detection has seen a significant growth in scale, but moves slowly in comparison to the ever-changing nature of fraudulent behavior. As the monetary losses...master thesis 2021
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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
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Liu, Hao (author)This thesis introduces LightDigit, a recognition system for fingertip air-writing digits that enables low-cost, privacy-preserving, and in air interaction with pub- lic devices such as touchscreens. The current LightDigit prototype can input digits to public devices with a simple array of photodiodes and with ubiquitous ambient light in our...master thesis 2021
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van Ramshorst, Arjo (author)In recent years, recommender systems have become a fundamental part of our online experience. Users rely on such systems in situations with many potential choices, such as watching a movie on a streaming service, reading a blog post, or listening to a song. Traditionally, these systems use techniques such as collaborative filtering and content...master thesis 2021
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Hu, Andrea (author)Despite the ever-growing advances in artificial intelligence (AI), common sense acquisition and reasoning is still comparingly in their early stages to other fields in AI. To further advance this field, it is necessary to collect large amounts of common sense facts or tacit knowledge to train such AI models. One effective way is to use...bachelor thesis 2021
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Broscăreanu, Madalin (author)Machine learning can still make harmful mistakes. A solution would be tacit knowledge. Machine learning needs this type of knowledge to improve. An example of such knowledge that can help make the system draw better logical conclusions would be: if presented with an open fridge, then it could deduct that the food will go bad. Tacit knowledge or...bachelor thesis 2021
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Jansen, Jesse (author)Conversational agents are being used more often. Many conversational agents have been designed to make them more humanlike to increase the engagement of the user. This research is looking into a couple of aspects of anthropomorphism to determine whether these aspects improve the engagement of the users. These aspects are typos with time delay...bachelor thesis 2021
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Lerer, Bar (author)This study aims to examine the effect of dynamically aligning the conversation style to the user’s preference in a conversational agent environment. We suggest a technique to identify the user’s preferred conversation style, by scoring statements based on their writing style. We designed a within-subject experiment intended to measure the user...bachelor thesis 2021
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van der Veeken, Just (author)With the growing popularity of conversational interfaces, new use-cases in which conversation may be an effective medium for human-computer interaction are explored. Recent works have shown how conversational interfaces can improve worker engagement in micro-task crowdsourcing and that task performance is comparable to web-based interfaces. This...bachelor thesis 2021
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Kanaris, Orestis (author)The rise in the use of crowd computing platforms led to the birth of Dandelion, a conversational crowd computing platform developed at TU Delft with the main goals being to connect students with researchers and to allow students to report on their well-being by using a friendly interface. Dandelion was tested manually up to the time of drafting...bachelor thesis 2021
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Lim, Jeffrey (author)We introduce Swipe for Science, a single-player mobile game designed for collecting discriminative evidence from crowds. When people play this game, we collect data about how certain concepts are associated with different contexts, which is valuable knowledge for machine learning systems. The main gameplay loop consists of swiping concepts up,...bachelor thesis 2021