Mining Fuzzy Association Rules from Fuzzy Databases. - R. B. V. Subramanyam; A. Goswami (IICAI, 2005)

A Fuzzy Data Mining Algorithm for Incremental Mining of Quantitative Sequential Patterns. - R. B. V. Subramanyam; A. Goswami (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2005)

Mining fuzzy quantitative association rules. - R. B. V. Subramanyam; A. Goswami (Expert Syst. J. Knowl. Eng., 2006)

Mining Frequent Fuzzy Grids in Dynamic Databases with Weighted Transactions and Weighted Items. - R. B. V. Subramanyam; A. Goswami (J. Inf. Knowl. Manag., 2006)

Discovery of Fuzzy Temporal Patterns from Process Instances. - R. B. V. Subramanyam; A. Goswami; Bhanu Prasad 001 (Enterprise Information Systems and Web Technologies, 2007)

Mining fuzzy temporal patterns from process instances with weighted temporal graphs. - R. B. V. Subramanyam; A. Goswami; Bhanu Prasad 001 (Int. J. Data Anal. Tech. Strateg., 2008)

Developing a Web Recommendation System Based on Closed Sequential Patterns. - Utpala Niranjan; R. B. V. Subramanyam; V. Khanaa (ICT, 2010)

Mining Sentiments from Micro-blogs. - Shyamal Misra; R. B. V. Subramanyam (IICAI, 2011)

Partition-Based Approach for Fast Mining of Transitional Patterns. - R. B. V. Subramanyam; Soma Raju Suvvari (UKSim, 2012)

Topic dependent cross-word Spelling Corrections for Web Sentiment Analysis. - Swapnil Ashok Jadhav; Durvasula V. L. N. Somayajulu; S. Nagesh Bhattu; R. B. V. Subramanyam; P. Suresh (ICACCI, 2013)

Context Dependent Bag of words generation. - Swapnil Ashok Jadhav; Durvasula V. L. N. Somayajulu; S. Nagesh Bhattu; R. B. V. Subramanyam; P. Suresh (ICACCI, 2013)

Paired feature constraints for latent dirichlet topic models. - Nagesh Bhattu Sristy; Durvasula V. L. N. Somayajulu; R. B. V. Subramanyam (SoCPaR, 2013)

Predicting intraday prices in stock market transactions using similarity profiled temporal associations. - Y. R. Ramesh Kumar; A. Govardhan 001; R. B. V. Subramanyam (Int. J. Data Anal. Tech. Strateg., 2013)

Mining Closed Sequential Patterns in Progressive Databases. - R. B. V. Subramanyam; A. Suresh Rao; Ramesh Karnati; Soma Raju Suvvari; Durvasula V. L. N. Somayajulu (J. Inf. Knowl. Manag., 2013)

An efficient approach for significant time intervals of frequent itemsets. - Soma Raju Suvvari; R. B. V. Subramanyam (Int. J. Intell. Syst. Technol. Appl., 2014)

Benchmarking Multimodal Sentiment Analysis. - Erik Cambria; Devamanyu Hazarika; Soujanya Poria; Amir Hussain 001; R. B. V. Subramanyam (CICLing (2), 2017)

A novel Bit Vector Product algorithm for mining frequent itemsets from large datasets using MapReduce framework. - Sumalatha Saleti; R. B. V. Subramanyam (Clust. Comput., 2018)

Skew Aware Partitioning Techniques for Multi-way Spatial Join. - Prashanth Kadari; Avinash Potluri; Nagesh Bhattu Sristy; R. B. V. Subramanyam; N. V. Narendra Kumar (MIKE, 2019)

A novel mapreduce algorithm for distributed mining of sequential patterns using co-occurrence information. - Sumalatha Saleti; R. B. V. Subramanyam (Appl. Intell., 2019)

A MapReduce solution for incremental mining of sequential patterns from big data. - Sumalatha Saleti; R. B. V. Subramanyam (Expert Syst. Appl., 2019)

MSP: Multiple Sub-graph Query Processing using Structure-based Graph Partitioning Strategy and Map-Reduce. - Shaik Fathimabi; R. B. V. Subramanyam; Durvasula V. L. N. Somayajulu (J. King Saud Univ. Comput. Inf. Sci., 2019)

Distributed mining of high utility time interval sequential patterns using mapreduce approach. - Sumalatha Saleti; R. B. V. Subramanyam (Expert Syst. Appl., 2020)

Generalized communication cost efficient multi-way spatial join: revisiting the curse of the last reducer. - S. Nagesh Bhattu; Avinash Potluri; Prashanth Kadari; R. B. V. Subramanyam (GeoInformatica, 2020)

Mining co-location patterns from distributed spatial data. - Sandipan Maiti; R. B. V. Subramanyam (J. King Saud Univ. Comput. Inf. Sci., 2021)

FResFormer: Leukemia Detection Using Fusion-Enabled CNN and Attention. - Murukessan Perumal; E. Goutham; U. Shivani Sri Varshini; M. Srinivas; R. B. V. Subramanyam (CVIP (2), 2023)

A Novel Contactless Middle Finger Knuckle Based Person Identification Using Ensemble Learning. - Noboranjan Dey; M. Srinivas; R. B. V. Subramanyam (TENCON, 2023)

Efficient renewable energy-based geographical load balancing algorithms for green cloud computing. - Slokashree Padhi; R. B. V. Subramanyam (Int. J. Web Grid Serv., 2023)

User request-based scheduling algorithms by managing uncertainty of renewable energy. - Slokashree Padhi; R. B. V. Subramanyam (Clust. Comput., 2024)

I-S2FND: a novel interpretable self-ensembled semi-supervised model based on transformers for fake news detection. - U. Shivani Sri Varshini; Rayanoothala Praneetha Sree; M. Srinivas; R. B. V. Subramanyam (J. Intell. Inf. Syst., 2024)

RDGT-GAN: Robust Distribution Generalization of Transformers for COVID-19 Fake News Detection. - U. Shivani Sri Varshini; Rayanoothala Praneetha Sree; M. Srinivas; R. B. V. Subramanyam (IEEE Trans. Comput. Soc. Syst., 2024)

Uncertainty Level-Based Algorithms by Managing Renewable Energy for Geo-Distributed Datacenters. - Slokashree Padhi; R. B. V. Subramanyam (Clust. Comput., 2024)

Time Series Analysis Using Memory Enhanced Liquid Neural Network. - Abhijeet Kumar; M. Srinivas; R. B. V. Subramanyam (AIAI (3), 2025)

TRYOLO: A Transformer-Based Real-Time Object Detection Model for UAV Images. - Bhimendra Dewangan; M. Srinivas; R. B. V. Subramanyam (I4CS, 2025)