P. S. Sastry

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023

Adaptive Sample Selection for Robust Learning under Label Noise.

[BibT_eX]

[DOI]

Deep Patel

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Efficient Depth-First Search Approach for Mining Injective General Episodes.

[BibT_eX]

[DOI]

Santhosh B. Gandreti

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

2022

Learning Gaussian-Bernoulli RBMs Using Difference of Convex Functions Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

2021

Memorization in Deep Neural Networks: Does the Loss Function Matter?

[BibT_eX]

[DOI]

Deep Patel

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020

On Robustness of Neural Architecture Search Under Label Noise.

[BibT_eX]

[DOI]

Frontiers Big Data, 2020

Robust Learning of Multi-Label Classifiers under Label Noise.

[BibT_eX]

[DOI]

Himanshu Kumar

Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

2019

Discovering frequent chain episodes.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2019

PLUME: Polyhedral Learning Using Mixture of Experts.

[BibT_eX]

[DOI]

Kulin Shah

CoRR, 2019

Summarizing Event Sequences with Serial Episodes: A Statistical Model and an Application.

[BibT_eX]

[DOI]

Soumyajit Mitra

CoRR, 2019

Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates.

[BibT_eX]

[DOI]

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

Robust Loss Functions for Learning Multi-class Classifiers.

[BibT_eX]

[DOI]

Himanshu Kumar

Suresh Kirthi Kumaraswamy

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Multi-source Subnetwork-level Transfer in CNNs Using Filter-Trees.

[BibT_eX]

[DOI]

Suresh Kirthi Kumaraswamy

K. R. Ramakrishnan

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Transfer Learning in CNNs Using Filter-Trees.

[BibT_eX]

[DOI]

K. R. Ramakrishnan

CoRR, 2017

On the Robustness of Decision Tree Learning Under Label Noise.

[BibT_eX]

[DOI]

Aritra Ghosh

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Learning RBM with a DC programming Approach.

[BibT_eX]

[DOI]

Proceedings of The 9th Asian Conference on Machine Learning, 2017

Robust Loss Functions under Label Noise for Deep Neural Networks.

[BibT_eX]

[DOI]

Aritra Ghosh

Himanshu Kumar

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Discovering compressing serial episodes from event sequences.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2016

Analyzing Similarities of Datasets Using a Pattern Set Kernel.

[BibT_eX]

[DOI]

Suresh Kirthi Kumaraswamy

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Bank of Weight Filters for Deep CNNs.

[BibT_eX]

[DOI]

Kalpathi Ramakrishnan

Proceedings of The 8th Asian Conference on Machine Learning, 2016

2015

K-plane regression.

[BibT_eX]

[DOI]

Inf. Sci., 2015

Statistical significance of episodes with general partial orders.

[BibT_eX]

[DOI]

Inf. Sci., 2015

Making risk minimization tolerant to label noise.

[BibT_eX]

[DOI]

Aritra Ghosh

Neurocomputing, 2015

Empirical Analysis of Sampling Based Estimators for Evaluating RBMs.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Pattern set kernel.

[BibT_eX]

[DOI]

Proceedings of the Second ACM IKDD Conference on Data Sciences, 2015

2013

Noise Tolerance Under Risk Minimization.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2013

Pattern-growth based frequent serial episode discovery.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2013

Cloud Conveyors System: A Versatile Application for Exploring Cyber-Physical Systems.

[BibT_eX]

[DOI]

Michael S. Branicky

Proceedings of the Control of Cyber-Physical Systems, 2013

2012

Geometric Decision Tree.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2012

A unified view of the apriori-based algorithms for frequent episode discovery.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2012

Discovering injective episodes with general partial orders.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2012

2011

Polyceptron: A Polyhedral Learning Algorithm

[BibT_eX]

[DOI]

CoRR, 2011

2010

A Team of Continuous-Action Learning Automata for Noise-Tolerant Learning of Half-Spaces.

[BibT_eX]

[DOI]

G. D. Nagendra

IEEE Trans. Syst. Man Cybern. Part B, 2010

Conditional Probability-Based Significance Tests for Sequential Patterns in Multineuronal Spike Trains.

[BibT_eX]

[DOI]

Neural Comput., 2010

Learning Polyhedral Classifiers Using Logistic Function.

[BibT_eX]

[DOI]

Proceedings of the 2nd Asian Conference on Machine Learning, 2010

A unified view of Automata-based algorithms for Frequent Episode Discovery

[BibT_eX]

[DOI]

CoRR, 2010

Efficient Discovery of Large Synchronous Events in Neural Spike Streams

[BibT_eX]

[DOI]

Raajay Viswanathan

CoRR, 2010

2009

Multipath Dissemination in Regular Mesh Topologies.

[BibT_eX]

[DOI]

Kranthi K. Mamidisetty

Minlan Duan

IEEE Trans. Parallel Distributed Syst., 2009

Temporal data mining for root-cause analysis of machine faults in automotive assembly lines

[BibT_eX]

[DOI]

CoRR, 2009

Discovering general partial orders in event streams

[BibT_eX]

[DOI]

CoRR, 2009

Statistical Inference of Functional Connectivity in Neuronal Networks using Frequent Episodes.

[BibT_eX]

[DOI]

CoRR, 2009

A Geometric Algorithm for Learning Oblique Decision Trees.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Machine Intelligence, 2009

2008

Inferring neuronal network connectivity from spike data: A temporal data mining approach.

[BibT_eX]

[DOI]

Sci. Program., 2008

Conditional probability based significance tests for sequential patterns in multi-neuronal spike trains

[BibT_eX]

[DOI]

CoRR, 2008

Inferring Neuronal Network Connectivity from Spike Data: A Temporal Datamining Approach

[BibT_eX]

[DOI]

CoRR, 2008

2007

Discovering Frequent Generalized Episodes When Events Persist for Different Durations.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2007

A Feedback-Based Algorithm for Motion Analysis with Application to Object Tracking.

[BibT_eX]

[DOI]

Shesha Shah

EURASIP J. Adv. Signal Process., 2007

Discovering Patterns in Multi-neuronal Spike Trains using the Frequent Episode Method

[BibT_eX]

[DOI]

CoRR, 2007

Inferring Neuronal Network Connectivity using Time-constrained Episodes

[BibT_eX]

[DOI]

CoRR, 2007

A fast algorithm for finding frequent episodes in event streams.

[BibT_eX]

[DOI]

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

2006

Network reconstruction from dynamic data.

[BibT_eX]

[DOI]

SIGKDD Explor., 2006

2005

Discovering Frequent Episodes and Learning Hidden Markov Models: A Formal Connection.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2005

2002

Two Timescale Analysis of the Alopex Algorithm for Optimization.

[BibT_eX]

[DOI]

M. Magesh

Neural Comput., 2002

1997

A reinforcement learning neural network for adaptive control of Markov chains.

[BibT_eX]

[DOI]

G. Santharam

IEEE Trans. Syst. Man Cybern. Part A, 1997

1996

Finite time analysis of the pursuit algorithm for learning automata.

[BibT_eX]

[DOI]

Kanagasabai Rajaraman

IEEE Trans. Syst. Man Cybern. Part B, 1996

1994

Memory neuron networks for identification and control of dynamical systems.

[BibT_eX]

[DOI]

G. Santharam

IEEE Trans. Neural Networks, 1994

1993

Learning optimal conjunctive concepts through a team of stochastic automata.

[BibT_eX]

[DOI]

Kanagasabai Rajaraman

S. R. Ranjan

IEEE Trans. Syst. Man Cybern., 1993

1992

Surface reconstruction from disparate shading: an integration of shape-from-shading and stereopsis.

[BibT_eX]

[DOI]

Subhashis Banerjee

Y. V. Venkatesh

Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

1990

Simulation studies on the performance of an organizational model for graph reduction.

[BibT_eX]

[DOI]

K. Ravikanth