You limited your search to:

  Partner: UNT College of Information
 Decade: 2000-2009
 Collection: UNT Scholarly Works
Applying Technology to Online Counseling: Suggestions for the Beginning E-Therapist

Applying Technology to Online Counseling: Suggestions for the Beginning E-Therapist

Date: 2004
Creator: Elleven, Russell K. & Allen, Jeff M.
Description: Article discussing research on applying technology to online counseling and suggestions for the beginning e-therapist.
Contributing Partner: UNT College of Information
Resident Assistant Training: A Southwestern Perspective

Resident Assistant Training: A Southwestern Perspective

Date: December 2001
Creator: Elleven, Russell K.; Allen, Jeff M. & Sarkees-Wircenski, Michelle
Description: Article discussing a study on the similarities and differences in public and private institutions training of resident assistants in the southwest United States.
Contributing Partner: UNT College of Information
Analysis of Management and Employee Job Satisfaction

Analysis of Management and Employee Job Satisfaction

Date: 2004
Creator: Andrews, Charles G. & Allen, Jeff M.
Description: Article on an analysis of management and employee job satisfaction for gender, age group, length of time with the organization, and between management and non-management employees.
Contributing Partner: UNT College of Information
A Fixed Effects Panel Data Model: Mathematics Achievement in the U.S.

A Fixed Effects Panel Data Model: Mathematics Achievement in the U.S.

Date: 2000
Creator: Sherron, Todd & Allen, Jeff M.
Description: Article discussing a study on a fixed effects panel data model and mathematics achievement in the United States.
Contributing Partner: UNT College of Information
Utilization of Technology-Enhanced Delphi Techniques

Utilization of Technology-Enhanced Delphi Techniques

Date: 2002
Creator: Andrews, Charles G. & Allen, Jeff M.
Description: This article discusses the Delphi consensus-building technique. Also discussed are the Delphi Technique's history, the process, and some advantages and disadvantages found in the literature. Finally, this article examines a technology-enhanced version of the process.
Contributing Partner: UNT College of Information
An Innovative Partnership to Recruit and Educate Biomedical Information Professionals

An Innovative Partnership to Recruit and Educate Biomedical Information Professionals

Date: 2005
Creator: Cleveland, Ana D., 1943-; Hannigan, Gale; Philbrick, Jodi; Pan, Xuequn (Della) & O'Neill, Marty
Description: Article on an innovative partnership to recruit and educate biomedical information professionals.
Contributing Partner: UNT College of Information
UNT 2005 TREC QA Participation: Using Lemur as IR Search Engine

UNT 2005 TREC QA Participation: Using Lemur as IR Search Engine

Date: 2005
Creator: Chen, Jiangping; Yu, Ping & Ge, He
Description: This paper reports the authors' TREC 2005 QA participation. The authors' QA system Eagle QA developed last year was expanded and modified for this year's QA experiments. Particularly, the authors used Lemur 4.1 as the Information Retrieval (IR) Engine this year to find documents that may contain answers for the test questions from the document collection. The authors' result shows Lemur did a reasonable job on finding relevant documents. But certainly there is room for further improvement.
Contributing Partner: UNT College of Information
UNT at TREC 2004: Question Answering Combining Multiple Evidences

UNT at TREC 2004: Question Answering Combining Multiple Evidences

Date: 2004
Creator: Chen, Jiangping; Ge, He; Wu, Yan & Jiang, Shikun
Description: This paper discusses Question Answering (QA) combining multiple evidences.
Contributing Partner: UNT College of Information
High-Throughput Workflow for Computer-Assisted Human Parsing of Biological Specimen Label Data

High-Throughput Workflow for Computer-Assisted Human Parsing of Biological Specimen Label Data

Date: 2008
Creator: Moen, William E.; Best, Jason H. & Neill, Amanda K.
Description: This two-year project will advance understanding of the workflow and processes best able to increase access to and use of digitized biological collection metadata within the stakeholder communities comprised of biologists, natural history museum collections managers, biodiversity standards groups, and the library and information science community.
Contributing Partner: UNT College of Information
The Apiary Project: High-Throughput Workflow for Computer-Assisted Human Parsing of Biological Specimen Label Data

The Apiary Project: High-Throughput Workflow for Computer-Assisted Human Parsing of Biological Specimen Label Data

Date: July 2009
Creator: Best, Jason H.; Neill, Amanda K. & Moen, William E.
Description: Presentation for the 2009 Society for the Preservation of Natural History Collections Meeting. This presentation discusses research on high-throughput workflow for computer-assisted human parsing of biological specimen label data. This is part of the Apiary Project, a collaboration of the Texas Center for Digital Knowledge at the University of North Texas and the Botanical Research Institute of Texas.
Contributing Partner: UNT College of Information
FIRST PREV 1 2 3 4 5 NEXT LAST