16 zoekresultaten voor “natural language processing” in de Publieke website
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Lifeng HanFaculteit der Wiskunde en Natuurwetenschappen
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Theory of mind in language, minds, and machines: a multidisciplinary approach
Humans can see the world through the eyes of other humans and imagine what they know, want, and intend. This competence is known as Theory of Mind.
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Emergence of Linguistic Universals in Neural Agents via Artificial Language Learning and Communication
Human language is constantly evolving with its linguistic structure being shaped by language users at both individual and population levels. Focusing on the interplay between processes of language acquisition and communicative need in shaping human languages, this thesis introduces a novel computational…
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I-Fan LinFaculteit der Wiskunde en Natuurwetenschappen
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From pixels to patterns: AI-driven image analysis in multiple domains
This thesis investigates the application of deep learning techniques in image analysis across various domains, focusing on four main themes: feature extraction, classification, segmentation, and integration, demonstrating the transformative potential of these technologies.
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Suzan VerberneFaculteit der Wiskunde en Natuurwetenschappen
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Kiana ShahrasbiFaculteit der Wiskunde en Natuurwetenschappen
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Healthcare Information System Engineering: AI Technologies and Open Source Approaches
Healthcare Information Systems (HIS) are essential for modern healthcare delivery, yet their development faces significant challenges including heterogeneous data formats, regulatory compliance, and the growing demand for AI-driven decision support.
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Yee Man NgFaculteit der Wiskunde en Natuurwetenschappen
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Safe anytime-valid inference: from theory to implementation in psychiatry research
Classical statistical methods, such as p-values, are difficult for researchers to apply correctly. They for example do not allow drawing conclusions from a study early, or for extending a study with extra research groups that want to make their data available later.
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Opinion Diversity through Hybrid Intelligence
This dissertation explores how Large Language Models (LLMs) can effectively and responsibly contribute to complex decision-making processes. By combining AI and human intelligence, Hybrid Intelligence (HI) emerges, allowing the strengths of both humans and machines to be utilized.
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Flor Miriam Plaza del ArcoFaculteit der Wiskunde en Natuurwetenschappen
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Mert YazanFaculteit der Wiskunde en Natuurwetenschappen
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Ian ShenWiskunde en Natuurwetenschappen
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Yuchen LianFaculteit der Wiskunde en Natuurwetenschappen
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Michiel van der MeerFaculteit der Wiskunde en Natuurwetenschappen