Nitin Indurkhya - researchr alias

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Viewing Publication 1 - 34 from 34

2019

Condition-transforming Variational Autoencoder for Conversation Response GenerationYu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Nitin Indurkhya. icassp 2019: 7215-7219 [doi]

2018

A Study on Improving End-to-End Neural Coreference ResolutionJia-Chen Gu, Zhen-Hua Ling, Nitin Indurkhya. cncl 2018: 159-169 [doi]

2015

Emerging directions in predictive text miningNitin Indurkhya. widm, 5(4):155-164, 2015. [doi]

Fundamentals of Predictive Text Mining, Second EditionSholom M. Weiss, Nitin Indurkhya, Tong Zhang 0001. Texts in Computer Science, Springer, 2015. [doi]

2014

Natural Language ProcessingNitin Indurkhya. In Teofilo F. Gonzalez, Jorge Diaz-Herrera, Allen Tucker, editors, Computing Handbook, Third Edition: Computer Science and Software Engineering. CRC Press, 2014.

2010

Predictive rule discovery from electronic health recordsSholom M. Weiss, Nitin Indurkhya, Chidanand Apté. ihi 2010: 734-743 [doi]

Fundamentals of Predictive Text MiningSholom M. Weiss, Nitin Indurkhya, Tong Zhang 0001. Volume 41 of Texts in Computer Science, Springer, 2010. [doi]

2008

Estimating Sales Opportunity Using Similarity-Based MethodsSholom M. Weiss, Nitin Indurkhya. pkdd 2008: 582-596 [doi]

2004

Text categorization for a comprehensive time-dependent benchmarkFred Damerau, Tong Zhang, Sholom M. Weiss, Nitin Indurkhya. ipm, 40(2):209-221, 2004. [doi]

2002

Experiments in high-dimensional text categorizationFred Damerau, Tong Zhang, Sholom M. Weiss, Nitin Indurkhya. sigir 2002: 357-358 [doi]

2001

2000

Decision-Rule Solutions for Data Mining with Missing ValuesSholom M. Weiss, Nitin Indurkhya. sbia 2000: 1-10 [doi]

Lightweight Rule InductionSholom M. Weiss, Nitin Indurkhya. icml 2000: 1135-1142

1998

Estimating Performance Gains for Voted Decision TreesNitin Indurkhya, Sholom M. Weiss. ida, 2(1-4):303-310, 1998. [doi]

1997

Predictive data mining - a practical guideSholom M. Weiss, Nitin Indurkhya. Morgan Kaufmann, 1997.

1996

Selecting the Right-Size Model for PredictionSholom M. Weiss, Nitin Indurkhya. apin, 6(4):261-273, 1996.

1995

Using Case Data to Improve on Rule-based Function ApproximationNitin Indurkhya, Sholom M. Weiss. iccbr 1995: 217-228

Rule-based Machine Learning Methods for Functional PredictionSholom M. Weiss, Nitin Indurkhya. jair, 3:383-403, 1995.

1994

Decision Tree Pruning: Biased or Optimal?Sholom M. Weiss, Nitin Indurkhya. AAAI 1994: 626-632

Small Sample Decision tree PruningSholom M. Weiss, Nitin Indurkhya. icml 1994: 335-342

Guest editors introductionSholom M. Weiss, Nitin Indurkhya. apin, 4(3):243-244, 1994. [doi]

Graph-based induction as a unified learning frameworkKenichi Yoshida, Hiroshi Motoda, Nitin Indurkhya. apin, 4(3):297-316, 1994. [doi]

1993

1992

Heuristic configuration of single hidden-layer feed-forward neural networksNitin Indurkhya, Sholom M. Weiss. apin, 2(4):325-331, 1992. [doi]

1991

Iterative rule induction methodsNitin Indurkhya, Sholom M. Weiss. apin, 1(1):43-54, 1991. [doi]

Reduced Complexity Rule InductionSholom M. Weiss, Nitin Indurkhya. IJCAI 1991: 678-684

1989

Models for measuring performance of medical expert systemsNitin Indurkhya, Sholom M. Weiss. artmed, 1(2):61-70, 1989. [doi]

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