Rajeev Verma

According to our database, Rajeev Verma authored at least 26 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning to Defer to a Population: A Meta-Learning Approach.

Dharmesh Tailor, Aditya Patra, Rajeev Verma, Putra Manggala, Eric T. Nalisnick

CoRR, 2024

2023

ReviVal: Towards Automatically Evaluating the Informativeness of Peer Reviews.

Rajeev Verma, Tirthankar Ghosal, Saprativa Bhattacharjee, Asif Ekbal, Pushpak Bhattacharyya

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Circularly Polarized Wideband Aperture Antenna for Wireless Communication.

Rajeev Verma, Srikant Satya Sai, Ajay Kumar Sharma

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Improving Early Detection of Suicide Ideation using Oversampling Methods.

Rajeev Verma, Avinash Chandra Pandey

Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing, 2023

Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles.

Rajeev Verma, Daniel Barrejón, Eric T. Nalisnick

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

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

The lack of theory is painful: Modeling Harshness in Peer Review Comments.

Rajeev Verma, Rajarshi Roychoudhury, Tirthankar Ghosal

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Calibrated Learning to Defer with One-vs-All Classifiers.

Rajeev Verma, Eric T. Nalisnick

Proceedings of the International Conference on Machine Learning, 2022

2021

Attend to Your Review: A Deep Neural Network to Extract Aspects from Peer Reviews.

Rajeev Verma, Kartik Shinde, Hardik Arora, Tirthankar Ghosal

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

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, Pushpak Bhattacharyya

Proceedings of the Digital Libraries at Times of Massive Societal Transition, 2020

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, Christoph Friedli, Raphaela Muri, Christian Rummel, Rajeev Verma, Christian Weisstanner, Mauricio Reyes, Anke Salmen, Andrew Chan, Roland Wiest, Franca Wagner

CoRR, 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, Anke Salmen, Andrew Chan, Franca Wagner, Roland Wiest

CoRR, 2019

A Sentiment Augmented Deep Architecture to Predict Peer Review Outcomes.

Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Pushpak Bhattacharyya

Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries, 2019

DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions.

Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Pushpak Bhattacharyya

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

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, Pushpak Bhattacharyya

CoRR, 2018

Investigating Impact Features in Editorial Pre-Screening of Research Papers.

Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya

Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018

2017

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

2016

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

Proceedings of the 2016 American Control Conference, 2016

2012

Safety Control of Hidden Mode Hybrid Systems.

Rajeev Verma, Domitilla Del Vecchio

IEEE Trans. Autom. Control., 2012

2011

Semiautonomous Multivehicle Safety.

Rajeev Verma, Domitilla Del Vecchio

IEEE Robotics Autom. Mag., 2011

Control of Hidden Mode Hybrid Systems: Algorithm termination.

Rajeev Verma, Domitilla Del Vecchio

Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011

Development and experimental validation of a semi-autonomous cooperative active safety system.

Rajeev Verma, Domitilla Del Vecchio

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010

Control of hybrid automata with hidden modes: Translation to a perfect state information problem.

Rajeev Verma, Domitilla Del Vecchio

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009

Continuous control of hybrid automata with imperfect mode information assuming separation between state estimation and control.

Rajeev Verma, Domitilla Del Vecchio

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

A separation principle for a class of hybrid automata on a partial order.

Domitilla Del Vecchio, Michael Malisoff, Rajeev Verma

Proceedings of the American Control Conference, 2009

2006

Gas turbine diagnostics using a soft computing approach.

Rajeev Verma, Niranjan Roy, Ranjan Ganguli

Appl. Math. Comput., 2006