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

Towards an integrative approach to cross-language information access for digital libraries

Digital libraries are becoming more ubiquitous and their contents can be of interest not only to the communities that create them but also to individuals

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Integrating an automatic classification method into the medical image retrieval process

Combining low-level features that represent the content of medical images with high level features that are saved with images would allow the expansion of text

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Adoption and evaluation issues of automatic and computer aided indexing systems

This panel will present an overview of the state-of-the-art in automatic and computer aided indexing systems, and focus on discussion of the factors that influence

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Using data mining to predict K-12 students’ performance on large-scale assessment items related to energy

This article reports a study on using data mining to predict K–12 students’ competence levels on test items related to energy. Data sources are the

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Usability and effectiveness evaluation of a course-advising chat bot

This research will evaluate usability and effectiveness of a course-advising chat bot by comparing it with a text-based FAQs system in terms of functionality and

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