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Browse by Supervisor "Heskes, Tom"
Now showing items 1-8 of 8
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(2020-07-10)Artificial IntelligenceArti ficial Intelligence (AI) is becoming a bigger part of the human society everyday. Intelligent algorithms are making decisions that can be of great impact on individuals. Therefore, there is a raising concern of ... -
(2020-07-10)Artificial IntelligenceQuasi-experimental designs are the next best inference technique when a randomized control trial is not available. Despite their popularity, common quasi-experimental frameworks have exclusively considered the time-domain ...
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(2020-07-01)Artificial IntelligenceIn many domains, such as healthcare, it is crucial to know as fast as possible whether an intervention (e.g. drug treatment) had an e ect. In these contexts, time is of the essence and samples are both costly to acquire ...
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(2020-07-01)Artificial IntelligenceNA
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(2019-07-02)Artificial IntelligenceArti cial intelligence is applied in more and more high impact elds, such as the banking world. In this elds it is often not acceptable to only give predictions and no explanation. Therefore the eld of Explainable ... -
(2019-03-01)Artificial IntelligenceAutomatic facial expression recognition has been a much-researched topic over the past decade and even before. However, most studies have used simple, lab-controlled data. In practice, facial expressions can vary signi ...
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(2019-06-01)Artificial IntelligenceThe body of research on fairness in machine learning has been growing in recent years. One de nition of fairness that has been proposed is that of counterfactual fairness, in which one tries to model and take into ...
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(2018-08-03)Artificial IntelligenceIn 2017, the World Health Organization (WHO) reported 216 million cases of malaria worldwide (91 coun- tries), an increase of about 5 million cases over the year 2015. An early diagnosis is the best prevention against malaria, ...
Now showing items 1-8 of 8
