Searched for: contributor%3A%22Tintarev%2C+N.+%28graduation+committee%29%22
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Mulder, Mats (author)
Previous research on diversity in recommender systems define diversity as the opposite of similarity and propose methods that are based on topic diversity. Diversity in news media, however, is understood as multiperspectivity and scholars generally agree that fostering diversity is the key responsibility of the press in a democratic society....
master thesis 2020
document
Tian, Tian (author)
Visually grounded speech representation learning has shown to be useful in the field of speech representation learning. Studies of learning visually grounded speech embedding adopted speech-image cross-modal retrieval task to evaluate the models, since the cross-modal retrieval task allows to jointly learn both modalities and find their...
master thesis 2020
document
Simion-Constantinescu, Andrei (author)
This thesis presents a novel self-supervised approach of learning visual representations from videos containing human actions. Our approach tackles the complex problem of learning without the need of labeled data by exploring to what extent the ideas successfully used for images can be transferred, adapted and extended to videos for action...
master thesis 2020
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Scholten, J.S.M. (author)
A Visually Grounded Speech model is a neural model which is trained to embed image caption pairs closely together in a common embedding space. As a result, such a model can retrieve semantically related images given a speech caption and vice versa. The purpose of this research is to investigate whether and how a Visually Grounded Speech model...
master thesis 2020
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Speelman, Tim (author)
Self-Sovereign Identity (SSI) is a new paradigm in digital identity systems that puts the end-user in control: no other actor manages, permits or revokes their digital existence. TrustChain is an academic peer-to-peer networking stack supporting SSI. It delivers passport-grade assurance by integrating with Dutch government....
master thesis 2020
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Biharie, Kirti (author)
This paper shows the influence of multitasking on the usage of a voice assistant. Voice assistants allow users to input queries over a speech-only channel, and as a result they do not require the same attention as a traditional search engine. Existing research describes the effects of the use of a voice assistant on driving and other demanding...
bachelor thesis 2020
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Sobha, Rohan (author)
This paper delved into the effects of domain expertise on a user's conversational search, because as the use and acceptance of voice assistants increase the need for conversational search agent that can accommodate to a human characteristic such as domain expertise. Accommodating to disadvantaged users of web search as earlier works showed that...
bachelor thesis 2020
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Bălan, Alexandru (author)
Nowadays, most users access the web through search engine portals. However, information needs can often be ill-defined or too broad to be solvable by a list of results the user has to scroll through, which implies that he is most likely required to refine the need by himself to reach the desired result. In recent years, researchers have...
master thesis 2019
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Nikolopoulos, Dionysis (author)
There is an increasing attention towards link prediction in complex networks both in physical and computer science communities. Particularly Online Social Networks (OSNs) are<br/>becoming the most popular platforms for information sharing, content creation and communication between users on the Internet. However, most of the research was done...
master thesis 2019
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Sarder, Mehedi Anam (author)
Embodied Conversational Agents (ECA) seek to provide a more natural means of interaction for a user through verbal and non-verbal properties of human face-to-face communication. For this reason, these systems are found to bring benefits in different mental health related interventions. However, a key challenge in developing agents to replace the...
master thesis 2018
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van Zoest, Max (author)
This research is aimed at breaking online political filter bubbles. We present a system that uses artificial intelligence and human computation to automatically collect article metadata on political content and thereby enables diverse personalization on content-serving platforms. This way, exploring alternative viewpoints could become as simple...
master thesis 2018
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