Miguel Ruiz

Miguel Ruiz
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Main area of research
Natural language & AI

He is currently a Principal Research Engineer in the Clinical Language Understanding group with research interests in Natural Language Processing, Machine Learning, Information Retrieval, and Information Extraction. Prior to joining Nuance, Miguel worked as an Associate Professor at the University of North Texas, as an Assistant Professor at the University of New York at Buffalo and as a Senior Researcher at TextWise Labs. He has a PhD in Information Retrieval and Intelligent Systems and a MS in Computer Science from the University of Iowa, a MS in Statistics and a BS in System Engineering from the Universidad de Los Andes (Venezuela).

Selected articles

Evaluation of automatically assigned mesh terms for retrieval of medical images

This paper presents the results of the State University of New York at Buffalo (UB) team in collaboration with the National Library of Medicine (NLM) in the

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UB at ImageCLEFmed 2006

This paper presents the results of the University at Buffalo in the 2006 ImageCLEFmed task. Our approach for this task combines Content Based Image Retrieval (CBIR) and

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Combining image features, case descriptions and umls concepts to improve retrieval of medical images

This paper evaluates a system, UBMedTIRS, for retrieval of medical images. The system uses a combination of image and text features as well as mapping

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Hierarchical text categorization using neural networks

This paper presents the design and evaluation of a text categorization method based on the Hierarchical Mixture of Experts model. This model uses a divide

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Vocabulary mining for information retrieval: rough sets and fuzzy sets

Vocabulary mining in information retrieval refers to the utilization of the domain vocabulary towards improving the user’s query. Most often queries posed to information retrieval

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