Connected-digit speaker-dependent speech recognition using a neural network with time-delayed connections. - K. P. Unnikrishnan; John J. Hopfield; David W. Tank (IEEE Trans. Signal Process., 1991)

Learning the time-delay characteristics in a neural network. - P. W. Rander; K. P. Unnikrishnan (ICASSP, 1992)

Speaker-Independent Digit Recognition Using a Neural Network with Time-Delayed Connections. - K. P. Unnikrishnan; John J. Hopfield; David W. Tank (Neural Comput., 1992)

Alopex: A Correlation-Based Learning Algorithm for Feedforward and Recurrent Neural Networks. - K. P. Unnikrishnan; Kootala P. Venugopal (Neural Comput., 1994)

Memory neuron networks for identification and control of dynamical systems. - P. S. Sastry 001; G. Santharam; K. P. Unnikrishnan (IEEE Trans. Neural Networks, 1994)

Two Timescale Analysis of the Alopex Algorithm for Optimization. - P. S. Sastry 001; M. Magesh; K. P. Unnikrishnan (Neural Comput., 2002)

The third SIGKDD workshop on mining temporal and sequential data (KDD/TDM 2004). - K. P. Unnikrishnan; Ramasamy Uthurusamy; Jiawei Han 001 (SIGKDD Explor., 2004)

Discovering Frequent Episodes and Learning Hidden Markov Models: A Formal Connection. - Srivatsan Laxman; P. S. Sastry 001; K. P. Unnikrishnan (IEEE Trans. Knowl. Data Eng., 2005)

Network reconstruction from dynamic data. - K. P. Unnikrishnan; Naren Ramakrishnan; P. S. Sastry 001; Ramasamy Uthurusamy (SIGKDD Explor., 2006)

A fast algorithm for finding frequent episodes in event streams. - Srivatsan Laxman; P. S. Sastry 001; K. P. Unnikrishnan (KDD, 2007)

Inferring Neuronal Network Connectivity using Time-constrained Episodes - Debprakash Patnaik; P. S. Sastry 001; K. P. Unnikrishnan (CoRR, 2007)

Discovering Patterns in Multi-neuronal Spike Trains using the Frequent Episode Method - K. P. Unnikrishnan; Debprakash Patnaik; P. S. Sastry 001 (CoRR, 2007)

Discovering Frequent Generalized Episodes When Events Persist for Different Durations. - Srivatsan Laxman; P. S. Sastry 001; K. P. Unnikrishnan (IEEE Trans. Knowl. Data Eng., 2007)

Inferring Neuronal Network Connectivity from Spike Data: A Temporal Datamining Approach - Debprakash Patnaik; P. S. Sastry 001; K. P. Unnikrishnan (CoRR, 2008)

Conditional probability based significance tests for sequential patterns in multi-neuronal spike trains - P. S. Sastry 001; K. P. Unnikrishnan (CoRR, 2008)

Inferring neuronal network connectivity from spike data: A temporal data mining approach. - Debprakash Patnaik; P. S. Sastry 001; K. P. Unnikrishnan (Sci. Program., 2008)

Statistical Inference of Functional Connectivity in Neuronal Networks using Frequent Episodes. - Casey O. Diekman; Kohinoor Dasgupta; Vijay N. Nair; P. S. Sastry 001; K. P. Unnikrishnan (CoRR, 2009)

Temporal data mining for root-cause analysis of machine faults in automotive assembly lines - Srivatsan Laxman; Basel Shadid; P. S. Sastry 001; K. P. Unnikrishnan (CoRR, 2009)

Discovering specific cascades in critical care transfer networks. - K. P. Unnikrishnan; Debprakash Patnaik; Theodore J. Iwashyna (IHI, 2010)

Efficient Discovery of Large Synchronous Events in Neural Spike Streams - Raajay Viswanathan; P. S. Sastry 001; K. P. Unnikrishnan (CoRR, 2010)

Conditional Probability-Based Significance Tests for Sequential Patterns in Multineuronal Spike Trains. - P. S. Sastry 001; K. P. Unnikrishnan (Neural Comput., 2010)

Risk Prediction of a Multiple Sclerosis Diagnosis. - Joyce C. Ho; Joydeep Ghosh; K. P. Unnikrishnan (ICHI, 2013)

Discovering Functional Neuronal Connectivity from Serial Patterns in Spike Train Data. - Casey O. Diekman; Kohinoor Dasgupta; Vijay N. Nair; K. P. Unnikrishnan (Neural Comput., 2014)

Capsule Networks with Max-Min Normalization. - Zhen Zhao; Ashley Kleinhans; Gursharan Sandhu; Ishan Patel; K. P. Unnikrishnan (CoRR, 2019)

Fast Inference in Capsule Networks Using Accumulated Routing Coefficients. - Zhen Zhao; Ashley Kleinhans; Gursharan Sandhu; Ishan Patel; K. P. Unnikrishnan (CoRR, 2019)