Joseph W. Richards

发表

Identifying high-Z gamma-ray burst candidates using random forest classification

Tamara Broderick, Adam N. Morgan, James P. Long, 2012 .

Scientific Books: Electro-Analysis

Joseph W. Richards, 1912 .

Data Mining and Machine-Learning in Time-Domain Discovery & Classification

Joshua S. Bloom, Joseph W. Richards, J. Richards, 2011, 1104.3142.

Arrangement of Electrolytic Laboratories: With Special Reference to the Requirements of Metallurgical Practice

Joseph W. Richards, H. Nissenson, 2010 .

Notes on Electrochemistry

Joseph W. Richards, .

Weighted model-based clustering for remote sensing image analysis

Joseph W. Richards, Johanna Hardin, Eric B. Grosfils, 2010 .

Astrostatistics: The final frontier

Chad M. Schafer, Ann B. Lee, Joseph W. Richards, 2008 .

Identification of Outliers Through Clustering and Semi-supervised Learning for All Sky Surveys

Nathaniel R. Butler, Sharmodeep Bhattacharyya, Dan L. Starr, 2012, ICIS 2012.

ALLStars: Overcoming Multi-Survey Selection Bias using Crowd-Sourced Active Learning

Joshua S. Bloom, Adam A. Miller, Dan L. Starr, 2012 .

Identification of outliers through clustering and semi-supervised learning for all sky surveys

Nathaniel R. Butler, Sharmodeep Bhattacharyya, Dan L. Starr, 2012, ICIS 2013.

VizieR Online Data Catalog: Machine-learned ASAS Classification Cat. (MACC) (Richards+, 2012)

Joshua S. Bloom, Adam A. Miller, Dan L. Starr, 2012 .

Optimizing Automated Classification of Variable Stars in New Synoptic Surveys

Noureddine El Karoui, James P. Long, Joseph W. Richards, 2012, 1201.4863.