| 2019 | ICASSP | Condition-transforming Variational Autoencoder for Conversation Response Generation. | Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Nitin Indurkhya |
| 2002 | SIGIR | Experiments in high-dimensional text categorization. | Fred Damerau, Tong Zhang, Sholom M. Weiss, Nitin Indurkhya |
| 2001 | KDD | Solving regression problems with rule-based ensemble classifiers. | Nitin Indurkhya, Sholom M. Weiss |
| 2000 | ICML | Lightweight Rule Induction. | Sholom M. Weiss, Nitin Indurkhya |
| 1995 | ICCBR | Using Case Data to Improve on Rule-based Function Approximation. | Nitin Indurkhya, Sholom M. Weiss |
| 1994 | AAAI | Decision Tree Pruning: Biased or Optimal? | Sholom M. Weiss, Nitin Indurkhya |
| 1994 | ICML | Small Sample Decision tree Pruning. | Sholom M. Weiss, Nitin Indurkhya |
| 1993 | ALT | A New Algorithm for Automatic Configuration of Hidden Markov Models. | Makoto Iwayama, Nitin Indurkhya, Hiroshi Motoda |
| 1993 | ALT | Unifying Learning Methods by Colored Digraphs. | Kenichi Yoshida, Hiroshi Motoda, Nitin Indurkhya |
| 1993 | IJCAI | Rule-Based Regression. | Sholom M. Weiss, Nitin Indurkhya |
| 1993 | ISMB | Transmembrane Segment Prediction from Protein Sequence Data. | Sholom M. Weiss, Dawn M. Cohen, Nitin Indurkhya |
| 1991 | IJCAI | Reduced Complexity Rule Induction. | Sholom M. Weiss, Nitin Indurkhya |