Search for dissertations about: "multi-modal modeling"
Showing result 1 - 5 of 7 swedish dissertations containing the words multi-modal modeling.
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1. Four Proposals for Enterprise Modeling
Abstract : Any enterprise whether a major corporation, a small family-owned business, a public school, a hospital, or a military unit needs to develop itself continuously in order to adapt to the challenges originating within itself and from its environment, in relation to its overall purpose or mission. Deliberate development and management of an enterprise manifest complexity that gives rise to a central challenge: how can we obtain a comprehensive intelligibility of an enterprise? One conceptual tool to overcome this challenge is enterprise modeling; it supports articulation of an enterprise and consequently intelligibility of its complexity. READ MORE
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2. Unsupervised Learning of Biomolecular Dynamics with Multi-Modal Data
Abstract : The functioning of cells critically depends on the dynamics of biomolecular systems, such as proteins or nucleic acids. Biophysical experiments as well as Molecular Dynamics (MD) simulations are the primary techniques to model and understand the kinetics and thermodynamics of biomolecules. READ MORE
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3. Improving Language Models Using Augmentation and Multi-Modality
Abstract : Language models have become a core component in modern Natural Language Processing (NLP) as they constitute a powerful base that is easily adaptable to many language processing tasks. Part of the strength lies in their ability to embed associations representing general world knowledge. READ MORE
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4. Computational Models of Spatial Transcriptomes
Abstract : Spatial biology is a rapidly growing field that has seen tremendous progress over the last decade. We are now able to measure how the morphology, genome, transcriptome, and proteome of a tissue vary across space. READ MORE
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5. Developing Data-Driven Models for Understanding Human Motion
Abstract : Humans are the primary subjects of interest in the realm of computer vision. Specifically, perceiving, generating, and understanding human activities have long been a core pursuit of machine intelligence. READ MORE