Lawrence D. Fu

According to our database, Lawrence D. Fu authored at least 11 papers between 2005 and 2014.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2014

A comprehensive empirical comparison of modern supervised classification and feature selection methods for text categorization.

Yindalon Aphinyanaphongs, Lawrence D. Fu, Zhiguo Li, Eric R. Peskin, Efstratios Efstathiadis, Constantin F. Aliferis, Alexander R. Statnikov

J. Assoc. Inf. Sci. Technol., 2014

2013

Computer models for identifying instrumental citations in the biomedical literature.

Lawrence D. Fu, Yindalon Aphinyanaphongs, Constantin F. Aliferis

Scientometrics, 2013

Identifying Unproven Cancer Treatments on the Health Web: Addressing Accuracy, Generalizability and Scalability.

Yindalon Aphinyanaphongs, Lawrence D. Fu, Constantin F. Aliferis

Proceedings of the MEDINFO 2013, 2013

Feasibility of Machine Learning Based Automatic Classification of Medical School Curricula.

Bisakha Ray, Lawrence D. Fu, William Holloway, Yindalon Aphinyanaphongs

Proceedings of the AMIA 2013, 2013

2012

Using Knowledge from APIs to Disambiguate Affiliation Names in MEDLINE.

Karen Hanson, Yindalon Aphinyanaphongs, Lawrence D. Fu

Proceedings of the AMIA 2012, 2012

2011

A comparison of evaluation metrics for biomedical journals, articles, and websites in terms of sensitivity to topic.

Lawrence D. Fu, Yindalon Aphinyanaphongs, Lily Wang, Constantin F. Aliferis

J. Biomed. Informatics, 2011

2010

Using content-based and bibliometric features for machine learning models to predict citation counts in the biomedical literature.

Lawrence D. Fu, Constantin F. Aliferis

Scientometrics, 2010

2008

Improving Biomedical Information Retrieval Citation Metrics Using Machine Learning.

Lawrence D. Fu

PhD thesis, 2008

Models for Predicting and Explaining Citation Count of Biomedical Articles.

Lawrence D. Fu, Constantin F. Aliferis

Proceedings of the AMIA 2008, 2008

2007

A Comparison of Impact Factor, Clinical Query Filters, and Pattern Recognition Query Filters in Terms of Sensitivity to Topic.

Lawrence D. Fu, Lily Wang, Yindalon Aphinyanagphongs, Constantin F. Aliferis

Proceedings of the MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics, 2007

2005

A Comparison of Bayesian Network Learning Algorithms from Continuous Data.

Lawrence D. Fu, Ioannis Tsamardinos

Proceedings of the AMIA 2005, 2005