|
 | Up a level |
Thathachar, MAL and Sastry, PS (2004) Networks of Learning Automata: Techniques for Online Stochastic Optimization. Kluwer Academic Publishers, Boston.
Kumar, H and Sastry, PS (2019) Robust Loss Functions for Learning Multi-class Classifiers. In: 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, 10 October 2018, Miyazaki; Japan, pp. 687-692.
Ibrahim, A and Sastry, PS and Sastry, Shivakumar (2016) Analyzing Similarities of Datasets Using a Pattern Set Kernel. In: 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), APR 19-22, 2016, Univ Auckland, Auckland, NEW ZEALAND, pp. 265-276.
Upadhya, Vidyadhar and Sastry, PS (2016) Empirical Analysis of Sampling Based Estimators for Evaluating RBMs. In: 22nd International Conference on Neural Information Processing (ICONIP), NOV 09-12, 2015, Istanbul, TURKEY, pp. 545-553.
Gandreti, SB and Ibrahim, A and Sastry, PS (2024) Breadth-First Search Approach for Mining Serial Episodes with Simultaneous Events. In: ACM International Conference Proceeding Series, 04-01-2024 to 07-02-2024, Bangalore, pp. 36-44.
Patel, D and Sastry, PS (2023) Adaptive Sample Selection for Robust Learning under Label Noise. In: 23rd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, 3 - 7 January 2023, Waikoloa, pp. 3921-3931.
Gandreti, SB and Sastry, PS (2023) Efficient Depth-First Search Approach for Mining Injective General Episodes. In: 6th ACM India Joint International Conference on Data Science and Management of Data, CODS-COMAD 2023, 4 January - 7 January 2023, Mumbai, pp. 1-9.
Patel, D and Sastry, PS (2021) Memorization in Deep Neural Networks: Does the Loss Function Matter? In: 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 11-14 May 2021, pp. 131-142.
Upadhya, V and Sastry, PS (2017) Learning RBM with a DC programming Approach. In: 9th Asian Conference on Machine Learning, ACML 2017, 15 - 17 November 2017, Seoul, pp. 498-513.
Gupta, A and Gurrala, G and Sastry, PS (2017) Instability prediction in power systems using recurrent neural networks. In: 26th International Joint Conference on Artificial Intelligence, 19 - 25 August 2017, Melbourne, pp. 1795-1801.
Ghosh, A and Kumar, H and Sastry, PS (2017) Robust loss functions under label noise for deep neural networks. In: 31st AAAI Conference on Artificial Intelligence, AAAI 2017, 4 - 10 February 2017, San Francisco, pp. 1919-1925.
Manwani, Naresh and Sastry, PS (2011) Polyceptron a polyhedral learning algorithm. In: IISc Centenary Conference, 2011, Jul 8, 2011, IISc, Bangalore, India.
Shashank, S and Gurrala, G and Sastry, PS and Katewa, V (2024) Cyber-Physical Modeling and Vulnerability Assessment of Substations for Transmission System Operator. In: Electric Power Systems Research, 235 .
Gupta, Ankita and Gurrala, Gurunath and Sastry, PS (2019) An Online Power System Stability Monitoring System Using Convolutional Neural Networks. In: IEEE TRANSACTIONS ON POWER SYSTEMS, 34 (2). pp. 864-872.
Upadhya, Vidyadhar and Sastry, PS (2019) An Overview of Restricted Boltzmann Machines. In: JOURNAL OF THE INDIAN INSTITUTE OF SCIENCE, 99 (2). pp. 225-236.
Achar, A and Sastry, PS (2019) Discovering frequent chain episodes. In: Knowledge and Information Systems .
Ibrahim, A and Sastry, Shivakumar and Sastry, PS (2016) Discovering compressing serial episodes from event sequences. In: KNOWLEDGE AND INFORMATION SYSTEMS, 47 (2). pp. 405-432.
Sastry, PS (2016) Introduction to Pattern Recognition and Machine Learning. M. Narasimha Murty and V Susheela Devi. IISc Press and World Scientific Publishing Co. Pte. Ltd, 5 Toh Tuck Link, Singapore 596224. In: Current Science, 110 (7). pp. 1366-1367.
Manwani, Naresh and Sastry, PS (2015) K-plane regression. In: INFORMATION SCIENCES, 292 . pp. 39-56.
Ghosh, Aritra and Manwani, Naresh and Sastry, PS (2015) Making risk minimization tolerant to label noise. In: NEUROCOMPUTING, 160 . pp. 93-107.
Achar, Avinash and Sastry, PS (2015) Statistical significance of episodes with general partial orders. In: INFORMATION SCIENCES, 296 . pp. 175-200.
Manwani, Naresh and Sastry, PS (2013) Noise tolerance under risk minimization. In: IEEE Transactions on Cybernetics, 43 (3). pp. 1146-1151.
Achar, Avinash and Ibrahim, A and Sastry, PS (2013) Pattern-growth based frequent serial episode discovery. In: DATA & KNOWLEDGE ENGINEERING, 87 . pp. 91-108.
Achar, Avinash and Laxman, Srivatsan and Sastry, PS (2012) A unified view of the apriori-based algorithms for frequent episode discovery. In: Knowledge and Information Systems, 31 (2). pp. 223-250.
