Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Miguel E. Ruiz"'
Publikováno v:
ASIST
We demonstrate HeMT, a multilingual Web system for human evaluation of machine translated metadata records. It allows human evaluators to examine and assess machine translation results for sample metadata records in Chinese, English, and Spanish. Thi
Publikováno v:
ASIST
This panel aims to discuss the importance of creating digital libraries for biodiversity and natural history collections, the state of the art in terms of standards, best practices and the challenges that natural history museums and herbaria face whe
Publikováno v:
ASIST
This research compares the usability and efficiency of a course-advising chat bot with menu driven FAQs (frequently asked questions). Based on a survey and user interviews, a text-based FAQ system was created and compared with a chat bot that was dev
Autor:
Epaphrodite Uwimana, Miguel E. Ruiz
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 52:788-792
This paper describes the results after using an automatic classification method to help improve the retrieval of medical images. Using a large dataset of medical images, we established links between low-level features from medical images and high-lev
Publikováno v:
ASIST
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 the success of the implementation of these system as well as the criteria for evaluati
Autor:
Miguel E. Ruiz, Xiufeng Liu
Publikováno v:
Journal of Research in Science Teaching. 45:554-573
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 1995 Third International Mathematics and Science Study (TIMSS), 1999 TIMSS-Repeat, 2003 Trend in Inter
Autor:
Padmini Srinivasan, Miguel E. Ruiz
Publikováno v:
ASIST
This article presents a study of the application of hierarchical classifiers based on the hierarchical mixtures of experts. In particular we present an extension of our work that explores the use of linear classifiers and a hybrid model that combines
Autor:
Padmini Srinivasan, Miguel E. Ruiz
Publikováno v:
Information Retrieval. 5:87-118
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 and conquer principle to define smaller categorization problems based on a predefined hierarchi
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 11:865-879
We develop an automatic text categorization approach and investigate its application to text retrieval. The categorization approach is derived from a combination of a learning paradigm known as instance-based learning and an advanced document retriev
Publikováno v:
ASIST
This panel aims to promote the application of Multi Lingual Information Access (MLIA) technologies in digital libraries. MLIA has been recognized as an important issue for digital libraries since the early days of research and development of these pr