Speech Recognition of Isolated Telugu Vowels Using Neural Networks. - P. S. V. S. Sai Prasad; P. N. Girija (IICAI, 2003)

IQuickReduct: An Improvement to Quick Reduct Algorithm. - P. S. V. S. Sai Prasad; C. Raghavendra Rao 001 (RSFDGrC, 2009)

Hybrid decision tree based on inferred attribute. - K. Hima Bindu; P. S. V. S. Sai Prasad; C. Raghavendra Rao 001 (A2CWiC, 2010)

Impact analysis of Jensen and Sk pal fuzzification in classification. - Rama Devi Yellasiri; P. Venu Gopal; P. S. V. S. Sai Prasad (A2CWiC, 2010)

Extensions to IQuickReduct. - P. S. V. S. Sai Prasad; Chillarige Raghavendra Rao (MIWAI, 2011)

Incremental Learning in AttributeNets with Dynamic Reduct and IQuickReduct. - P. S. V. S. Sai Prasad; K. Hima Bindu; C. Raghavendra Rao 001 (RSKT, 2011)

Novel Granular Framework for Attribute Reduction in Incomplete Decision Systems. - P. S. V. S. Sai Prasad; Chillarige Raghavendra Rao (MIWAI, 2012)

Scalable Improved Quick Reduct: Sample Based. - P. S. V. S. Sai Prasad; C. Raghavendra Rao 001 (RSKT, 2012)

Seed based fuzzy decision reduct for hybrid decision systems. - P. S. V. S. Sai Prasad; C. Raghavendra Rao 001 (FUZZ-IEEE, 2013)

A New Preprocessor to Fuzzy c-Means Algorithm. - Raveen S.; P. S. V. S. Sai Prasad; Chillarige Raghavendra Rao (MIWAI, 2014)

Non-persistent stratified sampling based IQRA_IG for scalable reduct generation. - P. S. V. S. Sai Prasad; C. Raghavendra Rao 001 (Int. J. Granul. Comput. Rough Sets Intell. Syst., 2014)

An Efficient Approach for Fuzzy Decision Reduct Computation. - P. S. V. S. Sai Prasad; C. Raghavendra Rao 001 (Trans. Rough Sets, 2014)

Scalable Quick Reduct Algorithm: Iterative MapReduce Approach. - Praveen Kumar Singh; P. S. V. S. Sai Prasad (CODS, 2016)

An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection. - Soumen Ghosh; P. S. V. S. Sai Prasad; C. Raghavendra Rao 001 (MIWAI, 2016)

Scalable IQRA_IG Algorithm: An Iterative MapReduce Approach for Reduct Computation. - P. S. V. S. Sai Prasad; H. Bala Subrahmanyam; Praveen Kumar Singh (ICDCIT, 2017)

Scalable MapReduce-based Fuzzy Min-Max Neural Network for Pattern Classification. - Shashikant Ilager; P. S. V. S. Sai Prasad (ICDCN, 2017)

Third Order Backward Elimination Approach for Fuzzy-Rough Set Based Feature Selection. - Soumen Ghosh; P. S. V. S. Sai Prasad; C. Raghavendra Rao 001 (PReMI, 2017)

Hashing Supported Iterative MapReduce Based Scalable SBE Reduct Computation. - U. Venkata Divya; P. S. V. S. Sai Prasad (ICDCIT, 2018)

Hybridization of Fuzzy Min-Max Neural Networks with kNN for Enhanced Pattern Classification. - Anil Kumar 010; P. S. V. S. Sai Prasad (ICACDS (1), 2019)

MR_IMQRA: An Efficient MapReduce Based Approach for Fuzzy Decision Reduct Computation. - Kiran Bandagar; Pandu Sowkuntla; Salman Abdul Moiz; P. S. V. S. Sai Prasad (PReMI (1), 2019)

Finding Optimal Rough Set Reduct with A* Search Algorithm. - Abhimanyu Bar; Anil Kumar 010; P. S. V. S. Sai Prasad (PReMI (1), 2019)

Fuzzy Rough Discernibility Matrix Based Feature Subset Selection With MapReduce. - Neeli Lakshmi Pavani; Pandu Sowkuntla; K. Swarupa Rani; P. S. V. S. Sai Prasad (TENCON, 2019)

MapReduce based improved quick reduct algorithm with granular refinement using vertical partitioning scheme. - Pandu Sowkuntla; P. S. V. S. Sai Prasad (Knowl. Based Syst., 2020)

Scalable Fuzzy Rough Set Reduct Computation Using Fuzzy Min-Max Neural Network Preprocessing. - Anil Kumar 010; P. S. V. S. Sai Prasad (IEEE Trans. Fuzzy Syst., 2020)

Stateful MapReduce Framework for mRMR Feature Selection Using Horizontal Partitioning. - Vivek Yelleti; P. S. V. S. Sai Prasad (PReMI, 2021)

Incremental fuzzy rough sets based feature subset selection using fuzzy min-max neural network preprocessing. - Anil Kumar 010; P. S. V. S. Sai Prasad (Int. J. Approx. Reason., 2021)

MapReduce based parallel attribute reduction in Incomplete Decision Systems. - Pandu Sowkuntla; Sravya Dunna; P. S. V. S. Sai Prasad (Knowl. Based Syst., 2021)

MapReduce based parallel fuzzy-rough attribute reduction using discernibility matrix. - Pandu Sowkuntla; P. S. V. S. Sai Prasad (Appl. Intell., 2022)

Scalable mRMR feature selection to handle high dimensional datasets: Vertical partitioning based Iterative MapReduce framework. - Yelleti Vivek; P. S. V. S. Sai Prasad (CoRR, 2022)

Enhancing the scalability of fuzzy rough set approximate reduct computation through fuzzy min-max neural network and crisp discernibility relation formulation. - Anil Kumar 010; P. S. V. S. Sai Prasad (Eng. Appl. Artif. Intell., 2022)

Scalable Centroid Based Fuzzy Min-Max Neural Network Ensemble Classifier Using MapReduce. - Vadlamudi Aadarsh; P. S. V. S. Sai Prasad (PReMI, 2023)

Approaches for coarsest granularity based near-optimal reduct computation. - Abhimanyu Bar; P. S. V. S. Sai Prasad (Appl. Intell., 2023)

Scalable Fuzzy Rough approximate reduct computation in hyperbox space. - Vadlamudi Aadarsh; Anil Kumar 010; P. S. V. S. Sai Prasad (Appl. Soft Comput., 2025)

Parallel attribute reduction in high-dimensional data: An efficient MapReduce strategy with fuzzy discernibility matrix. - Pandu Sowkuntla; P. S. V. S. Sai Prasad (Appl. Soft Comput., 2025)

Diversity among multiple reducts computation with application to ensemble of classification model. - Abhimanyu Bar; Anil Kumar 010; G. Y. Phani Kumar; P. S. V. S. Sai Prasad (Int. J. Approx. Reason., 2025)

Scalable Feature Subset Selection With Fuzzy Rough Sets and Fuzzy Min-Max Neural Network in Hybrid Decision System. - Anil Kumar 010; P. S. V. S. Sai Prasad (IEEE Trans. Fuzzy Syst., 2025)