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ORCIDRajeev Verma
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c18]Dharmesh Tailor, Aditya Patra, Rajeev Verma, Putra Manggala, Eric T. Nalisnick:
Learning to Defer to a Population: A Meta-Learning Approach. AISTATS 2024: 3475-3483- [i6]Dharmesh Tailor, Aditya Patra, Rajeev Verma, Putra Manggala, Eric T. Nalisnick:
Learning to Defer to a Population: A Meta-Learning Approach. CoRR abs/2403.02683 (2024) - 2023
- [c17]Rajeev Verma, Daniel Barrejón, Eric T. Nalisnick:
Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles. AISTATS 2023: 11415-11434 - [c16]Rajeev Verma
, Avinash Chandra Pandey:
Improving Early Detection of Suicide Ideation using Oversampling Methods. IC3 2023: 282-288 - [c15]Rajeev Verma, Srikant Satya Sai, Ajay Kumar Sharma:
Circularly Polarized Wideband Aperture Antenna for Wireless Communication. ICCCNT 2023: 1-4 - [c14]Rajeev Verma, Tirthankar Ghosal, Saprativa Bhattacharjee, Asif Ekbal, Pushpak Bhattacharyya:
ReviVal: Towards Automatically Evaluating the Informativeness of Peer Reviews. SIGIR-AP 2023: 95-103 - 2022
- [j5]Ranjani Kumari, Alok Kumar Singh, Rajeev Verma, Abdulla Hamad M. A. Fetais:
Enablers and Challenges for E-Health Services: A Systematic Literature Review. Int. J. Electron. Gov. Res. 18(1): 1-17 (2022) - [c13]Rajeev Verma, Eric T. Nalisnick:
Calibrated Learning to Defer with One-vs-All Classifiers. ICML 2022: 22184-22202 - [c12]Rajeev Verma, Rajarshi Roychoudhury, Tirthankar Ghosal:
The lack of theory is painful: Modeling Harshness in Peer Review Comments. AACL/IJCNLP (1) 2022: 925-935 - [i5]Rajeev Verma, Eric T. Nalisnick:
Calibrated Learning to Defer with One-vs-All Classifiers. CoRR abs/2202.03673 (2022) - [i4]Rajeev Verma, Daniel Barrejón, Eric T. Nalisnick:
Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles. CoRR abs/2210.16955 (2022) - 2021
- [c11]Rajeev Verma, Kartik Shinde, Hardik Arora, Tirthankar Ghosal:
Attend to Your Review: A Deep Neural Network to Extract Aspects from Peer Reviews. ICONIP (6) 2021: 761-768 - 2020
- [c10]Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
An Empirical Study of Importance of Different Sections in Research Articles Towards Ascertaining Their Appropriateness to a Journal. ICADL 2020: 407-415
2010 – 2019
- 2019
- [c9]Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Pushpak Bhattacharyya:
DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions. ACL (1) 2019: 1120-1130 - [c8]Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Pushpak Bhattacharyya:
A Sentiment Augmented Deep Architecture to Predict Peer Review Outcomes. JCDL 2019: 414-415 - [i3]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:
Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks. CoRR abs/1901.07419 (2019) - [i2]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:
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence. CoRR abs/1904.03041 (2019) - 2018
- [c7]Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
Investigating Impact Features in Editorial Pre-Screening of Research Papers. JCDL 2018: 333-334 - [i1]Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
An AI aid to the editors. Exploring the possibility of an AI assisted article classification system. CoRR abs/1802.01403 (2018) - 2017
- [j4]Reza Azarderakhsh, Dieter Fishbein, Gurleen Grewal, Shi Hu, David Jao, Patrick Longa, Rajeev Verma:
Fast Software Implementations of Bilinear Pairings. IEEE Trans. Dependable Secur. Comput. 14(6): 605-619 (2017) - 2016
- [c6]Chinmaya Patil, Payam Naghshtabrizi, Rajeev Verma, Zhijun Tang, Kandler Smith, Ying Shi:
Optimal battery utilization over lifetime for parallel hybrid electric vehicle to maximize fuel economy. ACC 2016: 1524-1529 - 2012
- [j3]Rajeev Verma, Domitilla Del Vecchio:
Safety Control of Hidden Mode Hybrid Systems. IEEE Trans. Autom. Control. 57(1): 62-77 (2012) - 2011
- [j2]Rajeev Verma, Domitilla Del Vecchio:
Semiautonomous Multivehicle Safety. IEEE Robotics Autom. Mag. 18(3): 44-54 (2011) - [c5]Rajeev Verma, Domitilla Del Vecchio:
Development and experimental validation of a semi-autonomous cooperative active safety system. CDC/ECC 2011: 4849-4854 - [c4]Rajeev Verma, Domitilla Del Vecchio:
Control of Hidden Mode Hybrid Systems: Algorithm termination. ITSC 2011: 1174-1180 - 2010
- [c3]Rajeev Verma, Domitilla Del Vecchio:
Control of hybrid automata with hidden modes: Translation to a perfect state information problem. CDC 2010: 5768-5774
2000 – 2009
- 2009
- [c2]Domitilla Del Vecchio, Michael Malisoff, Rajeev Verma:
A separation principle for a class of hybrid automata on a partial order. ACC 2009: 3638-3643 - [c1]Rajeev Verma, Domitilla Del Vecchio:
Continuous control of hybrid automata with imperfect mode information assuming separation between state estimation and control. CDC 2009: 3175-3181 - 2006
- [j1]Rajeev Verma, Niranjan Roy, Ranjan Ganguli:
Gas turbine diagnostics using a soft computing approach. Appl. Math. Comput. 172(2): 1342-1363 (2006)
Coauthor Index
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