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Rajeev Verma
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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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