List Price Optimization Using Customized Decision Trees. - Kiran Rama; Shashank Shekhar 003; John Kiran; K. Raghava Rau; Sam Pritchett; Anit Bhandari; Parag Chitalia (MLDM, 2016)

Towards an Efficient Method of Modeling "Next Best Action" for Digital Buyer's Journey in B2B. - Anit Bhandari; Kiran Rama; Nandini Seth; Nishant Niranjan; Parag Chitalia; Stig Berg (MLDM, 2017)

A Comparative Analysis of Hyperopt as Against Other Approaches for Hyper-Parameter Optimization of XGBoost. - Sayan Putatunda; Kiran Rama (SPML, 2018)

Deep Learning to Address Candidate Generation and Cold Start Challenges in Recommender Systems: A Research Survey. - Kiran Rama; Pradeep Kumar 001; Bharat Bhasker (CoRR, 2019)

SmartEDA: An R Package for Automated Exploratory Data Analysis. - Sayan Putatunda; Dayananda Ubrangala; Kiran Rama; Ravi Prasad Kondapalli (J. Open Source Softw., 2019)

A Modified Bayesian Optimization based Hyper-Parameter Tuning Approach for Extreme Gradient Boosting. - Sayan Putatunda; Kiran Rama (CoRR, 2020)

DriveML: An R Package for Driverless Machine Learning. - Sayan Putatunda; Dayananda Ubrangala; Kiran Rama; Ravi Prasad Kondapalli (CoRR, 2020)

DNNRec: A novel deep learning based hybrid recommender system. - Kiran Rama; Pradeep Kumar 001; Bharat Bhasker (Expert Syst. Appl., 2020)

Oslcfit (organic simultaneous LSTM and CNN Fit): A novel deep learning based solution for sentiment polarity classification of reviews. - Kiran Rama; Pradeep Kumar 001; Bharat Bhasker (Expert Syst. Appl., 2020)

Deep autoencoders for feature learning with embeddings for recommendations: a novel recommender system solution. - Kiran Rama; Pradeep Kumar 001; Bharat Bhasker (Neural Comput. Appl., 2021)

Domain specificity and data efficiency in typo tolerant spell checkers: the case of search in online marketplaces. - Dayananda Ubrangala; Juhi Sharma; Ravi Prasad Kondapalli; Kiran Rama; Amit Agarwala; Laurent Boué (CoRR, 2023)

Improving search relevance of Azure Cognitive Search by Bayesian optimization. - Nitin Agarwal; Ashish Kumar; Kiran Rama; Manish Gupta; Laurent Boué (CoRR, 2023)

Searching, fast and slow, through product catalogs. - Dayananda Ubrangala; Juhi Sharma; Sharath Kumar Rangappa; Kiran Rama; Ravi Prasad Kondapalli; Laurent Boué (CoRR, 2024)

A case study of Generative AI in MSX Sales Copilot: Improving seller productivity with a real-time question-answering system for content recommendation. - Manpreet Singh; Ravdeep Pasricha; Nitish Singh; Ravi Prasad Kondapalli; Manoj R; Kiran Rama; Laurent Boué (CoRR, 2024)

Fine-grained large-scale content recommendations for MSX sellers. - Manpreet Singh; Ravdeep Pasricha; Ravi Prasad Kondapalli; Kiran Rama; Nitish Singh; Akshita Agarwalla; Manoj R; Manish Prabhakar; Laurent Boué (CoRR, 2024)