Premonition of storage response class using Skyline ranked Ensemble method. - Kumar Dheenadayalan; V. N. Muralidhara; Pushpa Datla; G. Srinivasaraghavan 001; Maulik Shah (HiPC, 2014)

Machine Learning in a Policy Driven Grid Environment. - Kumar Dheenadayalan; Maulik Shah; Abhishek Badjatya; Biswadeep Chatterjee (ICDCN, 2014)

Storage Load Control Through Meta-Scheduler Using Predictive Analytics. - Kumar Dheenadayalan; V. N. Muralidhara; Gopalakrishnan Srinivasaraghavan 001 (ICDCIT, 2016)

Filer Response Time Prediction Using Adaptively-Learned Forecasting Models Based on Counter Time Series Data. - Saurabh Deshpande; Kumar Dheenadayalan; G. Srinivasaraghavan 001; V. N. Muralidhara (ICMLA, 2016)

Simulator Prototyping Through Graphical Dependency Modeling. - Kumar Dheenadayalan; V. N. Muralidhara; G. Srinivasaraghavan 001 (MLDM, 2016)

Pruning a Random Forest by Learning a Learning Algorithm. - Kumar Dheenadayalan; G. Srinivasaraghavan 001; V. N. Muralidhara (MLDM, 2016)

Policy Gradient Reinforcement Learning for I/O Reordering on Storage Servers. - Kumar Dheenadayalan; Gopalakrishnan Srinivasaraghavan 001; V. N. Muralidhara (ICONIP (1), 2017)

Self-tuning Filers - Overload Prediction and Preventive Tuning Using Pruned Random Forest. - Kumar Dheenadayalan; Gopalakrishnan Srinivasaraghavan 001; V. N. Muralidhara (PAKDD (2), 2017)

Dynamic Control of Storage Bandwidth Using Double Deep Recurrent Q-Network. - Kumar Dheenadayalan; Gopalakrishnan Srinivasaraghavan 001; V. N. Muralidhara (ICONIP (7), 2018)

Cost-Optimized Video Transfer using Real-Time Super Resolution Convolutional Neural Networks. - Ishaan Lodha; Lakshana Kolur; Keerthan Krishnan; Kumar Dheenadayalan; Dinkar Sitaram; Siddhartha Nandi (COMAD/CODS, 2022)

Multimodal Neural Network for Demand Forecasting. - Kumar Dheenadayalan; Nitesh Kumar; Suprabath Reddy; Sumant Kulkarni (ICONIP (3), 2022)