P. S. Sastry - RankMe

86 papers A* 2A 1B 2C 4Journal 64Unranked 12

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Breadth-First Search Approach for Mining Serial Episodes with Simultaneous Events. COMAD/CODS Santhosh B. Gandreti, A. Ibrahim, P. S. Sastry
2024	—	`conf`	Efficient Depth-First Search Approach for Mining Frequent Chain Episodes. COMAD/CODS (December) Santhosh B. Gandreti, Chandan J., P. S. Sastry
2023	A	`conf`	Adaptive Sample Selection for Robust Learning under Label Noise. WACV Deep Patel, P. S. Sastry
2023	—	`conf`	Efficient Depth-First Search Approach for Mining Injective General Episodes. COMAD/CODS Santhosh B. Gandreti, P. S. Sastry
2022	J	`jnl`	Learning Gaussian-Bernoulli RBMs Using Difference of Convex Functions Optimization. IEEE Trans. Neural Networks Learn. Syst. Vidyadhar Upadhya, P. S. Sastry
2021	J	`jnl`	Adaptive Sample Selection for Robust Learning under Label Noise. CoRR Deep Patel, P. S. Sastry
2021	J	`jnl`	Learning Gaussian-Bernoulli RBMs using Difference of Convex Functions Optimization. CoRR Vidyadhar Upadhya, P. S. Sastry
2021	—	`conf`	Memorization in Deep Neural Networks: Does the Loss Function Matter? PAKDD (2) Deep Patel, P. S. Sastry
2021	J	`jnl`	Memorization in Deep Neural Networks: Does the Loss Function matter? CoRR Deep Patel, P. S. Sastry
2020	J	`jnl`	On Robustness of Neural Architecture Search Under Label Noise. Frontiers Big Data Yi-Wei Chen, Qingquan Song, Xi Liu, P. S. Sastry, Xia Hu
2020	—	`conf`	Robust Learning of Multi-Label Classifiers under Label Noise. COMAD/CODS Himanshu Kumar, Naresh Manwani, P. S. Sastry
2019	J	`jnl`	Discovering frequent chain episodes. Knowl. Inf. Syst. Avinash Achar, P. S. Sastry
2019	C	`conf`	Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates. ACML Vidyadhar Upadhya, P. S. Sastry
2019	J	`jnl`	PLUME: Polyhedral Learning Using Mixture of Experts. CoRR Kulin Shah, P. S. Sastry, Naresh Manwani
2019	J	`jnl`	Summarizing Event Sequences with Serial Episodes: A Statistical Model and an Application. CoRR Soumyajit Mitra, P. S. Sastry
2018	J	`jnl`	Efficient Learning of Restricted Boltzmann Machines Using Covariance estimates. CoRR Vidyadhar Upadhya, P. S. Sastry
2018	B	`conf`	Multi-source Subnetwork-level Transfer in CNNs Using Filter-Trees. IJCNN Suresh Kirthi Kumaraswamy, P. S. Sastry, K. R. Ramakrishnan
2018	B	`conf`	Robust Loss Functions for Learning Multi-class Classifiers. SMC Himanshu Kumar, P. S. Sastry
2017	C	`conf`	Learning RBM with a DC programming Approach. ACML Vidyadhar Upadhya, P. S. Sastry
2017	J	`jnl`	Learning RBM with a DC programming Approach. CoRR Vidyadhar Upadhya, P. S. Sastry
2017	—	`conf`	On the Robustness of Decision Tree Learning Under Label Noise. PAKDD (1) Aritra Ghosh, Naresh Manwani, P. S. Sastry
2017	A*	`conf`	Robust Loss Functions under Label Noise for Deep Neural Networks. AAAI Aritra Ghosh, Himanshu Kumar, P. S. Sastry
2017	J	`jnl`	Robust Loss Functions under Label Noise for Deep Neural Networks. CoRR Aritra Ghosh, Himanshu Kumar, P. S. Sastry
2017	J	`jnl`	Transfer Learning in CNNs Using Filter-Trees. CoRR Suresh Kirthi Kumaraswamy, P. S. Sastry, K. R. Ramakrishnan
2016	—	`conf`	Analyzing Similarities of Datasets Using a Pattern Set Kernel. PAKDD (1) A. Ibrahim, P. S. Sastry, Shivakumar Sastry
2016	C	`conf`	Bank of Weight Filters for Deep CNNs. ACML Suresh Kirthi Kumaraswamy, P. S. Sastry, Kalpathi Ramakrishnan
2016	J	`jnl`	Discovering compressing serial episodes from event sequences. Knowl. Inf. Syst. A. Ibrahim, Shivakumar Sastry, P. S. Sastry
2016	J	`jnl`	On the Robustness of Decision Tree Learning under Label Noise. CoRR Aritra Ghosh, Naresh Manwani, P. S. Sastry
2015	—	`conf`	Empirical Analysis of Sampling Based Estimators for Evaluating RBMs. ICONIP (2) Vidyadhar Upadhya, P. S. Sastry
2015	J	`jnl`	Empirical Analysis of Sampling Based Estimators for Evaluating RBMs. CoRR Vidyadhar Upadhya, P. S. Sastry
2015	J	`jnl`	K-plane regression. Inf. Sci. Naresh Manwani, P. S. Sastry
2015	J	`jnl`	Making risk minimization tolerant to label noise. Neurocomputing Aritra Ghosh, Naresh Manwani, P. S. Sastry
2015	—	`conf`	Pattern set kernel. CODS A. Ibrahim, P. S. Sastry, Shivakumar Sastry
2015	J	`jnl`	Statistical significance of episodes with general partial orders. Inf. Sci. Avinash Achar, P. S. Sastry
2014	J	`jnl`	Discovering Compressing Serial Episodes from Event Sequences. CoRR A. Ibrahim, Shivakumar Sastry, P. S. Sastry
2014	J	`jnl`	Making Risk Minimization Tolerant to Label Noise. CoRR Aritra Ghosh, Naresh Manwani, P. S. Sastry
2013	—	`conf`	Cloud Conveyors System: A Versatile Application for Exploring Cyber-Physical Systems. CPSW@CISS Shivakumar Sastry, Michael S. Branicky, P. S. Sastry
2013	J	`jnl`	Noise Tolerance Under Risk Minimization. IEEE Trans. Cybern. Naresh Manwani, P. S. Sastry
2013	J	`jnl`	Pattern-growth based frequent serial episode discovery. Data Knowl. Eng. Avinash Achar, A. Ibrahim, P. S. Sastry
2012	J	`jnl`	A unified view of the apriori-based algorithms for frequent episode discovery. Knowl. Inf. Syst. Avinash Achar, Srivatsan Laxman, P. S. Sastry
2012	J	`jnl`	Discovering injective episodes with general partial orders. Data Min. Knowl. Discov. Avinash Achar, Srivatsan Laxman, Raajay Viswanathan, P. S. Sastry
2012	J	`jnl`	Geometric Decision Tree. IEEE Trans. Syst. Man Cybern. Part B Naresh Manwani, P. S. Sastry
2012	J	`jnl`	K-Plane Regression CoRR Naresh Manwani, P. S. Sastry
2011	J	`jnl`	Noise Tolerance under Risk Minimization CoRR Naresh Manwani, P. S. Sastry
2011	J	`jnl`	Polyceptron: A Polyhedral Learning Algorithm CoRR Naresh Manwani, P. S. Sastry
2010	J	`jnl`	A Team of Continuous-Action Learning Automata for Noise-Tolerant Learning of Half-Spaces. IEEE Trans. Syst. Man Cybern. Part B P. S. Sastry, G. D. Nagendra, Naresh Manwani
2010	J	`jnl`	A unified view of Automata-based algorithms for Frequent Episode Discovery CoRR Avinash Achar, Srivatsan Laxman, P. S. Sastry
2010	J	`jnl`	Conditional Probability-Based Significance Tests for Sequential Patterns in Multineuronal Spike Trains. Neural Comput. P. S. Sastry, K. P. Unnikrishnan
2010	J	`jnl`	Efficient Discovery of Large Synchronous Events in Neural Spike Streams CoRR Raajay Viswanathan, P. S. Sastry, K. P. Unnikrishnan
2010	C	`conf`	Learning Polyhedral Classifiers Using Logistic Function. ACML Naresh Manwani, P. S. Sastry
2009	—	`conf`	A Geometric Algorithm for Learning Oblique Decision Trees. PReMI Naresh Manwani, P. S. Sastry
2009	J	`jnl`	Discovering general partial orders in event streams CoRR Avinash Achar, Srivatsan Laxman, V. Raajay, P. S. Sastry
2009	J	`jnl`	Multipath Dissemination in Regular Mesh Topologies. IEEE Trans. Parallel Distributed Syst. Kranthi K. Mamidisetty, Minlan Duan, Shivakumar Sastry, P. S. Sastry
2009	—	`ed.`	Pattern Recognition and Machine Intelligence, Third International Conference, PReMI 2009, New Delhi, India, December 16-20, 2009 Proceedings PReMI Santanu Chaudhury, Sushmita Mitra, C. A. Murthy, P. S. Sastry, Sankar K. Pal
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	J	`jnl`	A Feedback-Based Algorithm for Motion Analysis with Application to Object Tracking. EURASIP J. Adv. Signal Process. Shesha Shah, P. S. Sastry
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`	Fingerprint classification using a feedback-based line detector. IEEE Trans. Syst. Man Cybern. Part B Shesha Shah, P. S. Sastry
2002	J	`jnl`	Two Timescale Analysis of the Alopex Algorithm for Optimization. Neural Comput. P. S. Sastry, M. Magesh, K. P. Unnikrishnan
2002	J	`jnl`	Varieties of learning automata: an overview. IEEE Trans. Syst. Man Cybern. Part B M. A. L. Thathachar, P. S. Sastry
1999	J	`jnl`	New algorithms for learning and pruning oblique decision trees. IEEE Trans. Syst. Man Cybern. Part C Shesha Shah, P. S. Sastry
1999	J	`jnl`	Stochastic optimization over continuous and discrete variables with applications to concept learning under noise. IEEE Trans. Syst. Man Cybern. Part A K. Rajaraman, P. S. Sastry
1997	J	`jnl`	A reinforcement learning neural network for adaptive control of Markov chains. IEEE Trans. Syst. Man Cybern. Part A G. Santharam, P. S. Sastry
1996	J	`jnl`	Finite time analysis of the pursuit algorithm for learning automata. IEEE Trans. Syst. Man Cybern. Part B Kanagasabai Rajaraman, P. S. Sastry
1994	J	`jnl`	Analysis of Stochastic Automata Algorithm for Relaxation Labeling. IEEE Trans. Pattern Anal. Mach. Intell. P. S. Sastry, M. A. L. Thathachar
1994	J	`jnl`	Analysis of the back-propagation algorithm with momentum. IEEE Trans. Neural Networks Vijay V. Phansalkar, P. S. Sastry
1994	J	`jnl`	Decentralized Learning of Nash Equilibria in Multi-Person Stochastic Games With Incomplete Information. IEEE Trans. Syst. Man Cybern. Syst. P. S. Sastry, Vijay V. Phansalkar, M. A. L. Thathachar
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
1993	J	`jnl`	Learning optimal conjunctive concepts through a team of stochastic automata. IEEE Trans. Syst. Man Cybern. P. S. Sastry, Kanagasabai Rajaraman, S. R. Ranjan
1992	—	`conf`	Surface reconstruction from disparate shading: an integration of shape-from-shading and stereopsis. ICPR (1) Subhashis Banerjee, P. S. Sastry, Y. V. Venkatesh
1990	J	`jnl`	Simulation studies on the performance of an organizational model for graph reduction. Future Gener. Comput. Syst. K. Ravikanth, P. S. Sastry, Y. V. Venkatesh
1988	J	`jnl`	A reduction architecture for the optimal scheduling of binary trees. Future Gener. Comput. Syst. K. Ravikanth, P. S. Sastry, K. R. Ramakrishnan, Y. V. Venkatesh
1988	J	`jnl`	An SIMD machine for low-level vision. Inf. Sci. K. Banerjee, P. S. Sastry, K. R. Ramakrishnan, Y. V. Venkatesh
1987	J	`jnl`	A hierarchical system of learning automata that can learn die globally optimal path. Inf. Sci. M. A. L. Thathachar, P. S. Sastry
1987	J	`jnl`	Learning Optimal Discriminant Functions through a Cooperative Game of Automata. IEEE Trans. Syst. Man Cybern. Mandayam A. L. Thathachar, P. S. Sastry
1986	J	`jnl`	Relaxation Labeling with Learning Automata. IEEE Trans. Pattern Anal. Mach. Intell. Mandayam A. L. Thathachar, P. S. Sastry
1985	J	`jnl`	A new approach to the design of reinforcement schemes for learning automata. IEEE Trans. Syst. Man Cybern. M. A. L. Thathachar, P. S. Sastry