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ORCIDMahesh V. Joshi
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2000 – 2009
- 2004
[c18]Mahesh V. Joshi, Vipin Kumar:
CREDOS: Classification Using Ripple Down Structure (A Case for Rare Classes). SDM 2004: 321-332- 2003
- [c17]Huaiyu Zhu, Shivakumar Vaithyanathan, Mahesh V. Joshi:
Topic Learning from Few Examples. PKDD 2003: 483-494 - 2002
- [c16]Mahesh V. Joshi:
On Evaluating Performance of Classifiers for Rare Classes. ICDM 2002: 641-644 - [c15]Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar:
Predicting rare classes: can boosting make any weak learner strong? KDD 2002: 297-306 - [c14]Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar:
Predicting Rare Classes: Comparing Two-Phase Rule Induction to Cost-Sensitive Boosting. PKDD 2002: 237-249 - [c13]Vipin Kumar, Mahesh V. Joshi, Eui-Hong Han, Pang-Ning Tan
, Michael S. Steinbach:
High Performance Data Mining. VECPAR 2002: 111-125 - 2001
- [c12]Mahesh V. Joshi, Vipin Kumar, Ramesh C. Agarwal:
Evaluating Boosting Algorithms to Classify Rare Classes: Comparison and Improvements. ICDM 2001: 257-264 - [c11]Ramesh C. Agarwal, Mahesh V. Joshi:
PNrule: A New Framework for Learning Classifier Models in Data Mining (A Case-Study in Network Intrusion Detection). SDM 2001: 1-17 - [c10]Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar:
Mining Needle in a Haystack: Classifying Rare Classes via Two-phase Rule Induction. SIGMOD Conference 2001: 91-102
1990 – 1999
- 1999
- [c9]Mahesh V. Joshi, Eui-Hong Han, George Karypis, Vipin Kumar:
Efficient Parallel Algorithms for Mining Associations. Large-Scale Parallel Data Mining 1999: 83-126 - [c8]Mahesh V. Joshi, George Karypis, Vipin Kumar, Anshul Gupta, Fred G. Gustavson:
PSPASES: An Efficient and Scalable Parallel Sparse Direct Solver. PP 1999 - 1998
- [j2]Anshul Gupta, Fred G. Gustavson, Mahesh V. Joshi, Sivan Toledo:
The Design, Implementation, and Evaluation of a Symmetric Banded Linear Solver for Distributed-Memory Parallel Computers. ACM Trans. Math. Softw. 24(1): 74-101 (1998) - [c7]Mahesh V. Joshi, George Karypis, Vipin Kumar:
ScalParC: A New Scalable and Efficient Parallel Classification Algorithm for Mining Large Datasets. IPPS/SPDP 1998: 573-579 - [c6]Anshul Gupta, Mahesh V. Joshi, Vipin Kumar:
WSSMP: A High-Performance Serial and Parallel Symmetric Sparse Linear Solver. PARA 1998: 182-194 - 1997
- [c5]Mahesh V. Joshi, Anshul Gupta, George Karypis, Vipin Kumar:
A high performance two dimensional scalable parallel algorithm for solving sparse triangular systems. HiPC 1997: 137-143 - [c4]Anshul Gupta, Fred G. Gustavson, Mahesh V. Joshi, George Karypis, Vipin Kumar:
Design and Implementation of a Scalable Parallel Direct Solver for Sparse Symmetric Positive Definite Systems: Preliminary Results. PP 1997 - 1996
- [c3]Anshul Gupta, Fred G. Gustavson, Mahesh V. Joshi, Sivan Toledo:
The Design, Implementation, and Evaluation of a Banded Linear Solver for Distributed-Memory Parallel Computers. PARA 1996: 328-340 - 1995
- [j1]Ramesh C. Agarwal, Susanne M. Balle, Fred G. Gustavson, Mahesh V. Joshi, Prasad V. Palkar:
A three-dimensional approach to parallel matrix multiplication. IBM J. Res. Dev. 39(5): 575-582 (1995) - [c2]Ramesh C. Agarwal, Fred G. Gustavson, Susanne M. Balle, Mahesh V. Joshi, Prasad V. Palkar:
A High Performance Matrix Manipulation Algorithm for MPPs. PARA 1995: 1-8 - [c1]Ramesh C. Agarwal, Fred G. Gustavson, Mahesh V. Joshi, Mohammad Zubair:
A Scalable Parallel Block Algorithm for Band Cholesky Factorization. PP 1995: 430-435
Coauthor Index
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