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Kulane, Suleiman (author)Search engines are used to gather and collect information. This interaction sometimes influences the user and changes their attitude towards a topic after such interaction. Prior work has shown that it is a complex endeavour to understand attitude change, as there are many things that can influence a user during a search session. One of the...master thesis 2023
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Schönfeld, Mariette (author)Machine learning inference queries are a type of database query for databases where a model pipeline is needed to evaluate its boolean predicates. Using a model zoo it is possible to select a variety of models to execute in a sequence rather than using a highly specialized model to answer every query predicate. Machine learning models can have...master thesis 2022
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Kuiper, Lucie (author)Artificial Intelligence (AI) is increasingly helping people with all kinds of tasks, due to its promising capabilities. In some tasks, an AI system by itself will take over tasks, but in other tasks, an AI system making decisions on its own would be undesired due to ethical and legal reasons. In those cases, AI can still be of help by forming...master thesis 2022
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Wang, Wenhui (author)Data drift refers to the variation in the production data compare to the training data and sometimes the machine learning model would decay because of it. Some machine learning models face the problem when in production: they receive drift data while there’s no ground truth to evaluate model performance, thus no way of determining the...master thesis 2022
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Singh, Aayush (author)Several input types have been developed in different technological landscapes like crowdsourcing and conversational agents. However, sign language remains one of the input types that has not been looked upon. Although numerous amount of people around the world use sign language as their primary language, there have not been many efforts to...master thesis 2022
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- Yuan, Ye (author) master thesis 2022
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- WANG, Siwei (author) master thesis 2022
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Wang, Zhen (author)This thesis mainly studies the causality in natural language processing. Understanding causality is key to the success of NLP applications, especially in high-stakes domains. Causality comes in various perspectives such as enable and prevent that, despite their importance, have been largely ignored in the literature. In view of the lack of a...master 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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Koper,ook geschreven Jansen, Wybe (author)As the world continues to embrace cloud computing, more applications are being scaled elastically. Elastic scaling allows applications to add or remove computing resources based on the load experienced by the application. When the load is high more resources are provisioned enabling the application to keep up with the load. When the load is low...master thesis 2022
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Koops, Reinier (author)Natural Language Interfaces for Databases (NLIDBs) offer a way for users to reason about data. It does not require the user to know the data structure, its relations, or familiarity with a query language like SQL. It only requires the use of Natural Language. This thesis focuses on a subset of NLIDBs, namely those with 'plain English' sentences...master thesis 2022
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Turk, Wessel (author)Search engines play an important role in the provision of information. Recently, researchers have raised their concerns about the potential of search engine providers trying to shift the opinion of their users by manipulating search results. But search results might also be manipulated for financial gain. If an increase in User Engagement (UE)...master thesis 2021
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Afentoulidis, Gregory (author)In an era where innovative machine learning and artificial intelligence applications are gaining popularity, enterprises steer their interest to enterprise crowdsourcing, to capitalize on their available human resources to achieve inclusion of in-house human generated data. In this setting, gamification techniques are appealing in order to align...master thesis 2017
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Bánsági, A. (author), Bes, R. (author), Garama, Z. (author), Gosschalk, L. (author)Filtering out scam mails and deleting them does not hurt a scammer in any way, but wasting their time by sending fake replies does. As the amount of replies grows, the amount of time a scammer has to spend responding to e-mails increases. This bachelor project has created a revolutionary system that recommends replies that can be sent to answer...bachelor thesis 2016
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Gou, C. (author)We live in a world of connections where everything shares relationships like follow/subscribe in Social Network or protein interactions in Biology Network. A graph database embraces relationships and supports low-level join as its nature. Regular Path queries (RPQs) are queries run against graph database, which are written in the form of regular...master thesis 2016
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De Lange, R.M. (author)Big Data is a popular research and business topic. Due to the potential value that lies in Big Data, much effort is put in attempts to improve Big Data analysis methods. ORTEC is a company that provides data analysis, optimisation, and forecasting solutions. In an attempt to make Big Data analysis easier to use for its customers, ORTEC is...master thesis 2015
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Abcouwer, F.C.A. (author)Human computation platforms offer requesters the possibility to outsource human intelligence tasks or HITs to large amounts of workers around the world. Researching the various aspects of HIT design has the potential to improve the human computation experience for both requesters and workers. This thesis researches the relationship between...master thesis 2015
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De Jong, N. (author)Twitter contains massive amounts of user generated content that also contains a lot of valuable information for various interested parties. Twitcident has been developed to process and filter this information in real-time for interested parties by monitoring a set of predefined topics, exploiting humans as sensors. An analysis of the relevant...master thesis 2015
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Rennings, D.J.A. (author), Kassing, S.A. (author)The Centre for Advanced Studies of IBM Amsterdam (IBM CAS) has an ambitious plan to revolutionize the workforce. Within the Inclusive Enterprise research line they aim to investigate and map the factors that influence employee well-being. Among these factors, we may find environmental factors that can be coupled to measurable quantities such as...bachelor thesis 2015
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Brenkman, C.F. (author)Anomaly (or outlier) detection techniques can be used to find occurrences in data that are surprising or unusual, arousing the suspicion of being generated by an aberrant mechanism. A collective anomaly is a collection of data instances of which the individual data instances may not be anomalies by themselves, but their occurrence together is...master thesis 2015