Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Roussinov, Dmitri"'
Artificial Intelligence Lab, Department of MIS, University of Arizona
Observations of Information Retrieval (IR) system user experiences reveal a strong desire for collaborative search while at the same time suggesting that collaborative capabil
Observations of Information Retrieval (IR) system user experiences reveal a strong desire for collaborative search while at the same time suggesting that collaborative capabil
Externí odkaz:
http://hdl.handle.net/10150/105688
Autor:
Roussinov, Dmitri G., Chen, Hsinchun
Artificial Intelligence Lab, Department of MIS, University of Arizona
We report our experience with a novel approach to interactive information seeking that is grounded in the idea of summarizing query results through automated document clusteri
We report our experience with a novel approach to interactive information seeking that is grounded in the idea of summarizing query results through automated document clusteri
Externí odkaz:
http://hdl.handle.net/10150/106217
Autor:
Roussinov, Dmitri G., Chen, Hsinchun
Artificial Intelligence Lab, Department of MIS, University of Arizona
In this article, we report our implementation and comparison of two text clustering techniques. One is based on Wardâ s clustering and the other on Kohonenâ s Self-organizin
In this article, we report our implementation and comparison of two text clustering techniques. One is based on Wardâ s clustering and the other on Kohonenâ s Self-organizin
Externí odkaz:
http://hdl.handle.net/10150/105091
Autor:
Roussinov, Dmitri
Successful knowledge management requires efficient tools to manage information in the form of text. However, our productivity in generating information has exceeded our ability to process it, and the dream of creating an information-rich society has
Externí odkaz:
http://hdl.handle.net/10150/283930
Autor:
Roussinov, Dmitri G., Chen, Hsinchun
Artificial Intelligence Lab, Department of MIS, University of Arizona
The rapid proliferation of textual and multimedia online databases, digital libraries, Internet servers, and intranet services has turned researchers' and practitioners' dream
The rapid proliferation of textual and multimedia online databases, digital libraries, Internet servers, and intranet services has turned researchers' and practitioners' dream
Externí odkaz:
http://hdl.handle.net/10150/106141
Autor:
Muresan, Gheorghe, Roussinov, Dmitri
Publikováno v:
Muresan, Gheorghe and Roussinov, Dmitri Where do good query terms come from?, 2006 . In 69th Annual Meeting of the American Society for Information Science and Technology (ASIST), Austin (US), 3-8 November 2006. [Conference paper]
This paper describes a framework for investigating the quality of different query expansion approaches, and applies it in the HARD TREC experimental setting. The intuition behind our approach is that each topic has an optimal term-based representatio
Externí odkaz:
http://eprints.rclis.org/8687/
Akademický článek
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Publikováno v:
Advances in Information Retrieval
Automatically recognizing an existing semantic relation (such as “is a”, “part of”, “property of”, “opposite of” etc.) between two arbitrary words (phrases, concepts, etc.) is an important task affecting many information retrieval and
Identifying which patients are at higher risks of dying or being re-admitted often happens to be resource- and life- saving, thus is a very important and challenging task for healthcare text analytics. While many successful approaches exist to predic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f26598bddc72c1e1ef2bcfbb92fdf169
https://strathprints.strath.ac.uk/79833/1/Roussinov_etal_FIDH_2022_Predicting_clinical_events_based_on_raw_text.pdf
https://strathprints.strath.ac.uk/79833/1/Roussinov_etal_FIDH_2022_Predicting_clinical_events_based_on_raw_text.pdf
Autor:
Roussinov, Dmitri, Leon Zhao, J.
Publikováno v:
Journal of Enterprise Information Management, 2004, Vol. 17, Issue 6, pp. 424-429.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/17410390410566715