Gas turbine diagnostics using a soft computing approach. - Rajeev Verma; Niranjan Roy; Ranjan Ganguli (Appl. Math. Comput., 2006)

A separation principle for a class of hybrid automata on a partial order. - Domitilla Del Vecchio; Michael Malisoff; Rajeev Verma (ACC, 2009)

Continuous control of hybrid automata with imperfect mode information assuming separation between state estimation and control. - Rajeev Verma; Domitilla Del Vecchio (CDC, 2009)

Control of hybrid automata with hidden modes: Translation to a perfect state information problem. - Rajeev Verma; Domitilla Del Vecchio (CDC, 2010)

Development and experimental validation of a semi-autonomous cooperative active safety system. - Rajeev Verma; Domitilla Del Vecchio (CDC/ECC, 2011)

Control of Hidden Mode Hybrid Systems: Algorithm termination. - Rajeev Verma; Domitilla Del Vecchio (ITSC, 2011)

Semiautonomous Multivehicle Safety. - Rajeev Verma; Domitilla Del Vecchio (IEEE Robotics Autom. Mag., 2011)

Safety Control of Hidden Mode Hybrid Systems. - Rajeev Verma; Domitilla Del Vecchio (IEEE Trans. Autom. Control., 2012)

Optimal battery utilization over lifetime for parallel hybrid electric vehicle to maximize fuel economy. - Chinmaya Patil; Payam Naghshtabrizi; Rajeev Verma; Zhijun Tang; Kandler Smith; Ying Shi 003 (ACC, 2016)

Fast Software Implementations of Bilinear Pairings. - Reza Azarderakhsh; Dieter Fishbein; Gurleen Grewal; Shi Hu; David Jao; Patrick Longa; Rajeev Verma (IEEE Trans. Dependable Secur. Comput., 2017)

Investigating Impact Features in Editorial Pre-Screening of Research Papers. - Tirthankar Ghosal; Rajeev Verma; Asif Ekbal; Sriparna Saha 001; Pushpak Bhattacharyya (JCDL, 2018)

An AI aid to the editors. Exploring the possibility of an AI assisted article classification system. - Tirthankar Ghosal; Rajeev Verma; Asif Ekbal; Sriparna Saha 001; Pushpak Bhattacharyya (CoRR, 2018)

DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions. - Tirthankar Ghosal; Rajeev Verma; Asif Ekbal; Pushpak Bhattacharyya (ACL (1), 2019)

A Sentiment Augmented Deep Architecture to Predict Peer Review Outcomes. - Tirthankar Ghosal; Rajeev Verma; Asif Ekbal; Pushpak Bhattacharyya (JCDL, 2019)

Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks. - Richard McKinley; Rik Wepfer; Fabian Aschwanden; Lorenz Grunder; Raphaela Muri; Christian Rummel; Rajeev Verma; Christian Weisstanner; Mauricio Reyes 001; Anke Salmen; Andrew Chan; Franca Wagner; et al. (CoRR, 2019)

Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence. - Richard McKinley; Lorenz Grunder; Rik Wepfer; Fabian Aschwanden; Tim Fischer 005; Christoph Friedli; Raphaela Muri; Christian Rummel; Rajeev Verma; Christian Weisstanner; Mauricio Reyes 001; Anke Salmen; et al. (CoRR, 2019)

An Empirical Study of Importance of Different Sections in Research Articles Towards Ascertaining Their Appropriateness to a Journal. - Tirthankar Ghosal; Rajeev Verma; Asif Ekbal; Sriparna Saha 001; Pushpak Bhattacharyya (ICADL, 2020)

Attend to Your Review: A Deep Neural Network to Extract Aspects from Peer Reviews. - Rajeev Verma; Kartik Shinde; Hardik Arora; Tirthankar Ghosal (ICONIP (6), 2021)

Calibrated Learning to Defer with One-vs-All Classifiers. - Rajeev Verma; Eric T. Nalisnick (ICML, 2022)

The lack of theory is painful: Modeling Harshness in Peer Review Comments. - Rajeev Verma; Rajarshi Roychoudhury; Tirthankar Ghosal (AACL/IJCNLP (1), 2022)

Enablers and Challenges for E-Health Services: A Systematic Literature Review. - Ranjani Kumari; Alok Kumar Singh; Rajeev Verma; Abdulla Hamad M. A. Fetais (Int. J. Electron. Gov. Res., 2022)

Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles. - Rajeev Verma; Daniel Barrejón; Eric T. Nalisnick (AISTATS, 2023)

Improving Early Detection of Suicide Ideation using Oversampling Methods. - Rajeev Verma; Avinash Chandra Pandey (IC3, 2023)

Circularly Polarized Wideband Aperture Antenna for Wireless Communication. - Rajeev Verma; Srikant Satya Sai; Ajay Kumar Sharma (ICCCNT, 2023)

ReviVal: Towards Automatically Evaluating the Informativeness of Peer Reviews. - Rajeev Verma; Tirthankar Ghosal; Saprativa Bhattacharjee; Asif Ekbal; Pushpak Bhattacharyya (SIGIR-AP, 2023)

Learning to Defer to a Population: A Meta-Learning Approach. - Dharmesh Tailor; Aditya Patra; Rajeev Verma; Putra Manggala; Eric T. Nalisnick (AISTATS, 2024)

On Calibration in Multi-Distribution Learning. - Rajeev Verma; Volker Fischer; Eric T. Nalisnick (CoRR, 2024)

On Calibration in Multi-Distribution Learning. - Rajeev Verma; Volker Fischer 003; Eric T. Nalisnick (FAccT, 2025)

On Continuous Monitoring of Risk Violations under Unknown Shift. - Alexander Timans; Rajeev Verma; Eric T. Nalisnick; Christian A. Naesseth (UAI, 2025)

Read Your Own Mind: Reasoning Helps Surface Self-Confidence Signals in LLMs. - Jakub Podolak; Rajeev Verma (CoRR, 2025)