K. P. Unnikrishnan

25 papers A* 1Misc 1Journal 21Unranked 2
YearRankTypeTitle / Venue / Authors
2019 J jnl
Capsule Networks with Max-Min Normalization.
CoRR
Zhen Zhao, Ashley Kleinhans, Gursharan Sandhu, Ishan Patel, K. P. Unnikrishnan
2019 J jnl
Fast Inference in Capsule Networks Using Accumulated Routing Coefficients.
CoRR
Zhen Zhao, Ashley Kleinhans, Gursharan Sandhu, Ishan Patel, K. P. Unnikrishnan
2014 J jnl
Discovering Functional Neuronal Connectivity from Serial Patterns in Spike Train Data.
Neural Comput.
Casey O. Diekman, Kohinoor Dasgupta, Vijay N. Nair, K. P. Unnikrishnan
2013 — conf
Risk Prediction of a Multiple Sclerosis Diagnosis.
ICHI
Joyce C. Ho, Joydeep Ghosh, K. P. Unnikrishnan
2010 J jnl
Conditional Probability-Based Significance Tests for Sequential Patterns in Multineuronal Spike Trains.
Neural Comput.
P. S. Sastry, K. P. Unnikrishnan
2010 — conf
Discovering specific cascades in critical care transfer networks.
IHI
K. P. Unnikrishnan, Debprakash Patnaik, Theodore J. Iwashyna
2010 J jnl
Efficient Discovery of Large Synchronous Events in Neural Spike Streams
CoRR
Raajay Viswanathan, P. S. Sastry, K. P. Unnikrishnan
2009 J jnl
Statistical Inference of Functional Connectivity in Neuronal Networks using Frequent Episodes.
CoRR
Casey O. Diekman, Kohinoor Dasgupta, Vijay N. Nair, P. S. Sastry, K. P. Unnikrishnan
2009 J jnl
Temporal data mining for root-cause analysis of machine faults in automotive assembly lines
CoRR
Srivatsan Laxman, Basel Shadid, P. S. Sastry, K. P. Unnikrishnan
2008 J jnl
Conditional probability based significance tests for sequential patterns in multi-neuronal spike trains
CoRR
P. S. Sastry, K. P. Unnikrishnan
2008 J jnl
Inferring Neuronal Network Connectivity from Spike Data: A Temporal Datamining Approach
CoRR
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishnan
2008 J jnl
Inferring neuronal network connectivity from spike data: A temporal data mining approach.
Sci. Program.
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishnan
2007 A* conf
A fast algorithm for finding frequent episodes in event streams.
KDD
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
2007 J jnl
Discovering Frequent Generalized Episodes When Events Persist for Different Durations.
IEEE Trans. Knowl. Data Eng.
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
2007 J jnl
Discovering Patterns in Multi-neuronal Spike Trains using the Frequent Episode Method
CoRR
K. P. Unnikrishnan, Debprakash Patnaik, P. S. Sastry
2007 J jnl
Inferring Neuronal Network Connectivity using Time-constrained Episodes
CoRR
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishnan
2006 J jnl
Network reconstruction from dynamic data.
SIGKDD Explor.
K. P. Unnikrishnan, Naren Ramakrishnan, P. S. Sastry, Ramasamy Uthurusamy
2005 J jnl
Discovering Frequent Episodes and Learning Hidden Markov Models: A Formal Connection.
IEEE Trans. Knowl. Data Eng.
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
2004 J jnl
The third SIGKDD workshop on mining temporal and sequential data (KDD/TDM 2004).
SIGKDD Explor.
K. P. Unnikrishnan, Ramasamy Uthurusamy, Jiawei Han
2002 J jnl
Two Timescale Analysis of the Alopex Algorithm for Optimization.
Neural Comput.
P. S. Sastry, M. Magesh, K. P. Unnikrishnan
1994 J jnl
Alopex: A Correlation-Based Learning Algorithm for Feedforward and Recurrent Neural Networks.
Neural Comput.
K. P. Unnikrishnan, Kootala P. Venugopal
1994 J jnl
Memory neuron networks for identification and control of dynamical systems.
IEEE Trans. Neural Networks
P. S. Sastry, G. Santharam, K. P. Unnikrishnan
1992 Misc conf
Learning the time-delay characteristics in a neural network.
ICASSP
P. W. Rander, K. P. Unnikrishnan
1992 J jnl
Speaker-Independent Digit Recognition Using a Neural Network with Time-Delayed Connections.
Neural Comput.
K. P. Unnikrishnan, John J. Hopfield, David W. Tank
1991 J jnl
Connected-digit speaker-dependent speech recognition using a neural network with time-delayed connections.
IEEE Trans. Signal Process.
K. P. Unnikrishnan, John J. Hopfield, David W. Tank