Search for dissertations about: "Hossein Azizpour"
Showing result 1 - 5 of 6 swedish dissertations containing the words Hossein Azizpour.
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1. Visual Representations and Models: From Latent SVM to Deep Learning
Abstract : Two important components of a visual recognition system are representation and model. Both involves the selection and learning of the features that are indicative for recognition and discarding those features that are uninformative. READ MORE
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2. Structured Representations for Explainable Deep Learning
Abstract : Deep learning has revolutionized scientific research and is being used to take decisions in increasingly complex scenarios. With growing power comes a growing demand for transparency and interpretability. The field of Explainable AI aims to provide explanations for the predictions of AI systems. READ MORE
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3. Robots That Understand Natural Language Instructions and Resolve Ambiguities
Abstract : Verbal communication is a key challenge in human-robot interaction. For effective verbal interaction, understanding natural language instructions and clarifying ambiguous user requests are crucial for robots. In real-world environments, the instructions can be ambiguous for many reasons. READ MORE
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4. Time, space and control: deep-learning applications to turbulent flows
Abstract : In the present thesis, the application of deep learning and deep reinforcement learning to turbulent-flow simulations is investigated. Deep-learning models are trained to perform temporal and spatial predictions, while deep reinforcement learning is applied to a flow-control problem, namely the reduction of drag in an open channel flow. READ MORE
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5. Breast cancer risk assessment and detection in mammograms with artificial intelligence
Abstract : Breast cancer, the most common type of cancer among women worldwide, necessitates reliable early detection methods. Although mammography serves as a cost-effective screening technique, its limitations in sensitivity emphasize the need for more advanced detection approaches. READ MORE