Search for dissertations about: "Vicenc Torra"
Found 5 swedish dissertations containing the words Vicenc Torra.
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1. Context-based explanations for machine learning predictions
Abstract : In recent years, growing concern regarding trust in algorithmic decision-making has drawn attention to more transparent and interpretable models. Laws and regulations are moving towards requiring this functionality from information systems to prevent unintended side effects. READ MORE
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2. Towards Privacy Preserving Intelligent Systems
Abstract : Intelligent systems, i.e., digital systems containing smart devices that can gather, analyze, and act in response to the data they collect from their surrounding environment, have progressed from theory to application especially in the last decade, thanks to the recent technological advances in sensors and machine learning. READ MORE
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3. Towards Privacy Preserving Micro-data Analysis : A machine learning based perspective under prevailing privacy regulations
Abstract : Machine learning (ML) has been employed in a wide variety of domains where micro-data (i.e., personal data) are used in the training process. READ MORE
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4. Exploring privacy-preserving models in model space
Abstract : Privacy-preserving techniques have become increasingly essential in the rapidly advancing era of artificial intelligence (AI), particularly in areas such as deep learning (DL). A key architecture in DL is the Multilayer Perceptron (MLP) network, a type of feedforward neural network. READ MORE
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5. Integrating domain knowledge into deep learning : Increasing model performance through human expertise
Abstract : The research in this thesis is focused on how deep learning models can be designed and implemented to better emulate and integrate the heuristic reasoning process of human experts. Several case studies, within the domains of steel making and drug discovery, are conducted in order to evaluate the performance of these models, in comparison to models that do not consider human expert knowledge from the targeted domain. READ MORE