The IBM External User Interface for Scalable Parallel Systems. - Vasanth Bala; Jehoshua Bruck; Raymond Bryant; Robert Cypher; Peter de Jong; Pablo Elustondo; Daniel D. Frye; Alex Ho; Ching-Tien Ho; Gail Irwin; Shlomo Kipnis; Richard D. Lawrence; et al. (Parallel Comput., 1994)

Visualizing customer segmentations produce by self organizing maps (case study). - Holly E. Rushmeier; Richard D. Lawrence; George S. Almási (IEEE Visualization, 1997)

A Case Study in Information Delivery to Mass Retail Markets. - Vladimir Kotlyar; Marisa S. Viveros; Sastry Duri; Richard D. Lawrence; George S. Almási (DEXA, 1999)

A Scalable Parallel Algorithm for Self-Organizing Maps with Applications to Sparse Data Mining Problems. - Richard D. Lawrence; George S. Almási; Holly E. Rushmeier (Data Min. Knowl. Discov., 1999)

Java programming for high-performance numerical computing. - José E. Moreira; Samuel P. Midkiff; Manish Gupta 002; Pedro V. Artigas; Marc Snir; Richard D. Lawrence (IBM Syst. J., 2000)

Personalization of Supermarket Product Recommendations. - Richard D. Lawrence; George S. Almási; Vladimir Kotlyar; Marisa S. Viveros; Sastry Duri (Data Min. Knowl. Discov., 2001)

Applications of flexible pricing in business-to-business electronic commerce. - Martin Bichler; Jayant Kalagnanam; Kaan Katircioglu; Alan J. King; Richard D. Lawrence; Ho Soo Lee; Grace Y. Lin; Yingdong Lu (IBM Syst. J., 2002)

Passenger-based predictive modeling of airline no-show rates. - Richard D. Lawrence; Se June Hong; Jacques Cherrier (KDD, 2003)

Data-Enhanced Predictive Modeling for Sales Targeting. - Saharon Rosset; Richard D. Lawrence (SDM, 2006)

Looking for Great Ideas: Analyzing the Innovation Jam. - Wojciech Gryc; Mary E. Helander; Richard D. Lawrence; Yan Liu 002; Claudia Perlich; Chandan K. Reddy; Saharon Rosset (WebKDD/SNA-KDD, 2007)

High-quantile modeling for customer wallet estimation and other applications. - Claudia Perlich; Saharon Rosset; Richard D. Lawrence; Bianca Zadrozny (KDD, 2007)

Analytics-driven solutions for customer targeting and sales-force allocation. - Richard D. Lawrence; Claudia Perlich; Saharon Rosset; Jorge Arroyo; Matthew Callahan; J. Matthew Collins; Alexey Ershov; Sheri Feinzig; Ildar Khabibrakhmanov; Shilpa Mahatma; Mark Niemaszyk; Sholom M. Weiss (IBM Syst. J., 2007)

Graph-Based Rare Category Detection. - Jingrui He; Yan Liu 002; Richard D. Lawrence (ICDM, 2008)

Customer targeting models using actively-selected web content. - Prem Melville; Saharon Rosset; Richard D. Lawrence (KDD, 2008)

Breast cancer identification: KDD CUP winner's report. - Claudia Perlich; Prem Melville; Yan Liu 002; Grzegorz Swirszcz; Richard D. Lawrence; Saharon Rosset (SIGKDD Explor., 2008)

Graph-based transfer learning. - Jingrui He; Yan Liu 002; Richard D. Lawrence (CIKM, 2009)

Uncertainty sampling and transductive experimental design for active dual supervision. - Vikas Sindhwani; Prem Melville; Richard D. Lawrence (ICML, 2009)

Sentiment analysis of blogs by combining lexical knowledge with text classification. - Prem Melville; Wojciech Gryc; Richard D. Lawrence (KDD, 2009)

ALPOS: A Machine Learning Approach for Analyzing Microblogging Data. - Dan Zhang 007; Yan Liu 002; Richard D. Lawrence; Vijil Chenthamarakshan (ICDM Workshops, 2010)

Transfer Latent Semantic Learning: Microblog Mining with Less Supervision. - Dan Zhang 007; Yan Liu 002; Richard D. Lawrence; Vijil Chenthamarakshan (AAAI, 2011)

Concept Labeling: Building Text Classifiers with Minimal Supervision. - Vijil Chenthamarakshan; Prem Melville; Vikas Sindhwani; Richard D. Lawrence (IJCAI, 2011)

Multi-view transfer learning with a large margin approach. - Dan Zhang 007; Jingrui He; Yan Liu 002; Luo Si; Richard D. Lawrence (KDD, 2011)

Multiple Instance Learning on Structured Data. - Dan Zhang 007; Yan Liu 002; Luo Si; Jian Zhang 003; Richard D. Lawrence (NIPS, 2011)

Extracting insights from social media with large-scale matrix approximations. - Vikas Sindhwani; Amol Ghoting; Edison Ting; Richard D. Lawrence (IBM J. Res. Dev., 2011)

Learning to rank for robust question answering. - Arvind Agarwal; Hema Raghavan; Karthik Subbian; Prem Melville; Richard D. Lawrence; David Gondek; James Fan (CIKM, 2012)

MILEAGE: Multiple Instance LEArning with Global Embedding. - Dan Zhang 007; Jingrui He; Luo Si; Richard D. Lawrence (ICML (3), 2013)

Amplifying the voice of youth in Africa via text analytics. - Prem Melville; Vijil Chenthamarakshan; Richard D. Lawrence; James Powell; Moses Mugisha; Sharad Sapra; Rajesh Anandan; Solomon Assefa (KDD, 2013)

MI2LS: multi-instance learning from multiple informationsources. - Dan Zhang 007; Jingrui He; Richard D. Lawrence (KDD, 2013)

Novel document detection for massive data streams using distributed dictionary learning. - Shiva Prasad Kasiviswanathan; Gao Cong; Prem Melville; Richard D. Lawrence (IBM J. Res. Dev., 2013)

A general framework for predictive tensor modeling with domain knowledge. - Yada Zhu; Jingrui He; Richard D. Lawrence (Data Min. Knowl. Discov., 2015)