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2010 – 2019
- 2015
[j10]Yada Zhu, Jingrui He, Richard D. Lawrence:
A general framework for predictive tensor modeling with domain knowledge. Data Min. Knowl. Discov. 29(6): 1709-1732 (2015)- 2013
- [j9]Shiva Prasad Kasiviswanathan, Gao Cong, Prem Melville, Richard D. Lawrence:
Novel document detection for massive data streams using distributed dictionary learning. IBM J. Res. Dev. 57(3/4): 9 (2013) - [c20]Dan Zhang, Jingrui He, Luo Si, Richard D. Lawrence:
MILEAGE: Multiple Instance LEArning with Global Embedding. ICML (3) 2013: 82-90 - [c19]Dan Zhang, Jingrui He, Richard D. Lawrence:
MI2LS: multi-instance learning from multiple informationsources. KDD 2013: 149-157 - [c18]Prem Melville, Vijil Chenthamarakshan, Richard D. Lawrence, James Powell, Moses Mugisha, Sharad Sapra, Rajesh Anandan, Solomon Assefa:
Amplifying the voice of youth in Africa via text analytics. KDD 2013: 1204-1212 - 2012
- [c17]Arvind Agarwal, Hema Raghavan, Karthik Subbian, Prem Melville, Richard D. Lawrence, David Gondek, James Fan:
Learning to rank for robust question answering. CIKM 2012: 833-842 - 2011
- [j8]Vikas Sindhwani, Amol Ghoting, Edison Ting, Richard D. Lawrence:
Extracting insights from social media with large-scale matrix approximations. IBM J. Res. Dev. 55(5): 9 (2011) - [c16]Dan Zhang, Yan Liu, Richard D. Lawrence, Vijil Chenthamarakshan:
Transfer Latent Semantic Learning: Microblog Mining with Less Supervision. AAAI 2011: 561-566 - [c15]Vijil Chenthamarakshan, Prem Melville, Vikas Sindhwani, Richard D. Lawrence:
Concept Labeling: Building Text Classifiers with Minimal Supervision. IJCAI 2011: 1225-1230 - [c14]Dan Zhang, Jingrui He, Yan Liu, Luo Si, Richard D. Lawrence:
Multi-view transfer learning with a large margin approach. KDD 2011: 1208-1216 - [c13]Dan Zhang, Yan Liu, Luo Si, Jian Zhang, Richard D. Lawrence:
Multiple Instance Learning on Structured Data. NIPS 2011: 145-153 - 2010
- [c12]Dan Zhang, Yan Liu, Richard D. Lawrence, Vijil Chenthamarakshan:
ALPOS: A Machine Learning Approach for Analyzing Microblogging Data. ICDM Workshops 2010: 1265-1272
2000 – 2009
- 2009
- [c11]Jingrui He, Yan Liu, Richard D. Lawrence:
Graph-based transfer learning. CIKM 2009: 937-946 - [c10]Vikas Sindhwani, Prem Melville, Richard D. Lawrence:
Uncertainty sampling and transductive experimental design for active dual supervision. ICML 2009: 953-960 - [c9]Prem Melville, Wojciech Gryc, Richard D. Lawrence:
Sentiment analysis of blogs by combining lexical knowledge with text classification. KDD 2009: 1275-1284 - 2008
- [j7]Claudia Perlich, Prem Melville, Yan Liu, Grzegorz Swirszcz, Richard D. Lawrence, Saharon Rosset:
Breast cancer identification: KDD CUP winner's report. SIGKDD Explor. 10(2): 39-42 (2008) - [c8]Jingrui He, Yan Liu, Richard D. Lawrence:
Graph-Based Rare Category Detection. ICDM 2008: 833-838 - [c7]Prem Melville, Saharon Rosset, Richard D. Lawrence:
Customer targeting models using actively-selected web content. KDD 2008: 946-953 - 2007
- [j6]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:
Analytics-driven solutions for customer targeting and sales-force allocation. IBM Syst. J. 46(4): 797-816 (2007) - [c6]Wojciech Gryc, Mary E. Helander, Richard D. Lawrence, Yan Liu, Claudia Perlich, Chandan K. Reddy
, Saharon Rosset:
Looking for Great Ideas: Analyzing the Innovation Jam. WebKDD/SNA-KDD 2007: 21-39 - [c5]Claudia Perlich, Saharon Rosset, Richard D. Lawrence, Bianca Zadrozny:
High-quantile modeling for customer wallet estimation and other applications. KDD 2007: 977-985 - 2006
- [c4]Saharon Rosset, Richard D. Lawrence:
Data-Enhanced Predictive Modeling for Sales Targeting. SDM 2006: 569-573 - 2003
- [c3]Richard D. Lawrence, Se June Hong, Jacques Cherrier:
Passenger-based predictive modeling of airline no-show rates. KDD 2003: 397-406 - 2002
- [j5]Martin Bichler, Jayant Kalagnanam, Kaan Katircioglu, Alan J. King, Richard D. Lawrence, Ho Soo Lee, Grace Y. Lin, Yingdong Lu:
Applications of flexible pricing in business-to-business electronic commerce. IBM Syst. J. 41(2): 287-302 (2002) - 2001
- [j4]Richard D. Lawrence, George S. Almási, Vladimir Kotlyar, Marisa S. Viveros, Sastry Duri:
Personalization of Supermarket Product Recommendations. Data Min. Knowl. Discov. 5(1/2): 11-32 (2001) - 2000
- [j3]José E. Moreira, Samuel P. Midkiff, Manish Gupta, Pedro V. Artigas, Marc Snir, Richard D. Lawrence:
Java programming for high-performance numerical computing. IBM Syst. J. 39(1): 21-56 (2000)
1990 – 1999
- 1999
- [j2]Richard D. Lawrence, George S. Almási, Holly E. Rushmeier:
A Scalable Parallel Algorithm for Self-Organizing Maps with Applications to Sparse Data Mining Problems. Data Min. Knowl. Discov. 3(2): 171-195 (1999) - [c2]Vladimir Kotlyar, Marisa S. Viveros, Sastry Duri, Richard D. Lawrence, George S. Almási:
A Case Study in Information Delivery to Mass Retail Markets. DEXA 1999: 842-851 - 1997
- [c1]Holly E. Rushmeier, Richard D. Lawrence, George S. Almási:
Visualizing customer segmentations produce by self organizing maps (case study). IEEE Visualization 1997: 463-466 - 1994
- [j1]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, Marc Snir:
The IBM External User Interface for Scalable Parallel Systems. Parallel Comput. 20(4): 445-462 (1994)
Coauthor Index
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