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Browse by Programme "Artificial Intelligence"
Now showing items 21-40 of 443
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(2018-07-01)Artificial IntelligenceIn this thesis we propose a 3D apparent personality prediction model as extension of the multimodal residual neural network used for first impression analysis by Güçlütürk et al. [1]. The original model was trained on ... -
(2013-07-17)Artificial IntelligenceIn connection with the application of Bayesian networks in several domains like medical diagnoses and weather forecasting, this thesis introduces the use of Bayesian networks into the field of theft alarm analysis. It is ...
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(2017-08-17)Artificial IntelligenceA challenge that every company or organization will continue to face regularly is the task of recruiting people that will perfectly fit their vacant jobs. This is especially vital for companies in the Human Resourcing ...
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(2019-01-29)Artificial IntelligenceThe predictive processing theory has been opposed to explain the pre- dictive capabilities of the human brain. This theory has often been com- pared to the process of Bayesian inference in a hybrid Bayesian network. Di ... -
(2015-07-27)Artificial IntelligenceIn this thesis it was intended to investigate whether the number of active backchannels in non-verbal listening behaviour exhibited by a robot during a human-robot interaction, influenced the human’s feeling of being ...
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(2018-06-28)Artificial IntelligenceIn this study, the time-consuming nature of educational content creation in augmented reality (AR) and limitations in nancial support are addressed by proposing a mobile AR search tool to aid in inquiry-based learning ...
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(18-06-18)Artificial IntelligenceThis research focuses on assessing the ffects of gamification on sports exercise. An Augmented Reality (AR) approach was used to research this. Since AR is growing in popularity, it is new and interesting to perform this ...
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(2013-08-23)Artificial IntelligenceAutonomous navigation of robots requires obstacle localization techniques. Obstacles can be localized based on visual data. Large datasets are needed to test methods for visual obstacle localization quantitatively. In ...
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(2009-01-05)Artificial IntelligenceIn this thesis a theoretical attack on an AI classifier as introduced by Barreno et al. (2006) is described and lifted to a more realistic setting. The dataset, classifier and attack algorithm were updated in order to ...
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(2015-08-31)Artificial IntelligenceIt has been postulated the entorhinal cortex (EC) plays an inte- gral role in the brain's navigation and environment mapping system. The EC contains various spatially tuned cells, amongst which are the grid cells: cells ...
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(2010-08-11)Artificial IntelligenceMost research on author identification considers large texts. Not many research is done on author identification for short texts, while short texts are commonly used since the rise of digital media. The anonymous nature ...
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(2020-06-01)Artificial IntelligenceAutomatic Appliance Identi cation refers to the task of identifying household devices given measurements of its power consumption. Solving this problem is crucial for modern energy monitoring applications but, so far, ...
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(2014-01-30)Artificial IntelligenceThis project pursues automatic facial tic detection in video recordings of Gilles de la Tourette syn- drome patients. Current diagnostic methods using a severity measurement scales and tic counts require huge e ort from ...
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Automatic Sleep Stage Classification using Convolutional Neural Networks with Long Short-Term Memory (2017-08-31)Artificial IntelligenceThe division of sleep into different stages using EEG signals is a commonplace practice in sleep laboratories and an indispensable tool for clinicians and researchers. Despite the advances in artificial intelligence, the ...
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(2017-06-22)Artificial IntelligenceIdentifying accents can become largely difficult. Accents of a certain language vary for each country and region. Speech recognition systems have to face this problem as well as humans do. Identifying the users' accent ...
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(2018-02-26)Artificial IntelligenceAutomatic text highlighting is capable of becoming a new tool in textual information processing. Preliminary research is done to examine the potential of a new application for text summarization algorithms. A framework ...
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(2020-10-26)Artificial IntelligenceRecently developed deep neural networks achieved state-of-the-art results in the subject of 6D object pose estimation for robot manipulation. However, those supervised deep learning methods require expensive annotated ...
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(2013-07-18)Artificial IntelligenceTrust in Human-Robot Interaction becomes more important as robots are emerging in the domestic environment. This thesis is focused on the influence of a previous encountered robot on how a second robot is perceived and ...
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(2012-08-28)Artificial IntelligenceA dataset containing a large number of variables (4898) from Forensic Psychiatry is explored for this project. This dataset is provided by the forMINDs project by the Pompestichting. The method for exploration is ...
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(2014-07-26)Artificial IntelligenceIn this thesis we set out to find out whether we could use linear models on financial data to make stocks picks that return above the market average. The linear models were successful in outperforming the market over ...
Now showing items 21-40 of 443
