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ORCIDUtkarsh Agrawal
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
[c15]Rajesh Langoju, Utkarsh Agrawal, Bipul Das:
Structured Noise Reduction with Texture Preservation in Low-Dose X-Ray Computed Tomography. ISBI 2024: 1-4- 2023
- [c14]Jesline Daniel, Kanisha B, Meenakshi P, Mohana Priya K, Utkarsh Agrawal, Shanti Ramakrishnan:
Improving Accuracy for Flight Fare Prediction using Random Forest Algorithm. ICCCNT 2023: 1-9 - [c13]Utkarsh Agrawal, Rajesh Langoju, Yasuhiro Imai, Risa Shigemasa, Bipul Das:
A deep learning method for pinwheel artifact reduction in CT. Medical Imaging: Image Processing 2023 - 2022
- [j8]Utkarsh Agrawal
, Vasudha Rohatgi, Rahul Katarya:
Normalized Mutual Information-based equilibrium optimizer with chaotic maps for wrapper-filter feature selection. Expert Syst. Appl. 207: 118107 (2022) - [j7]Rohit Rastogi, Devendra K. Chaturvedi, Mukund K. Rastogi, Saransh Chauhan, Vaibhav Aggarwal, Utkarsh Agrawal, Richa Singh:
Examining Vedic Yajna's Effects on the AQI of India in the Second Wave of the COVID-19 Pandemic: An Healthcare 4.0 Concept for Smart Cities 5.0. Int. J. Inf. Syst. Soc. Chang. 13(1): 1-20 (2022) - [j6]Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Hongxu Yang, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash:
Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists. Neurocomputing 485: 36-46 (2022) - [c12]Deepa Anand, Rohan Patil, Utkarsh Agrawal, Rahul Venkataramani, Hariharan Ravishankar, Prasad Sudhakar:
Towards Generalization of Medical Imaging AI Models: Sharpness-Aware Minimizers and Beyond. ISBI 2022: 1-5 - [c11]Hariharan Ravishankar, Rohan Patil, Deepa Anand, Vanika Singhal, Utkarsh Agrawal, Rahul Venkataramani, Prasad Sudhakar:
Stochastic Weight Perturbations Along the Hessian: A Plug-and-Play Method to Compute Uncertainty. UNSURE@MICCAI 2022: 80-88 - [i3]Jimiama Mafeni Mase, Direnc Pekaslan, Utkarsh Agrawal, Mohammad Mesgarpour, Peter Chapman, Mercedes Torres Torres, Grazziela P. Figueredo:
Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving. CoRR abs/2202.09816 (2022) - 2021
- [j5]Moolchand Sharma, Ananya Bansal, Utkarsh Agrawal, Pramod Goyal:
Distracted driver recognition system using deep forest. Int. J. Electron. Bus. 16(4): 336-351 (2021) - [c10]Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash:
Pristine Annotations-Based Multi-modal Trained Artificial Intelligence Solution to Triage Chest X-Ray for COVID-19. MICCAI (7) 2021: 325-334 - [c9]Utkarsh Agrawal, Aditya Hegde, Rajesh Langoju, Prasad Sudhakar, Bhushan D. Patil, Sundar R. K., Yasuhiro Imai, Risa Shigemasa, Omi Yasuo, Bipul Das:
Enhancing Z-resolution in CT volumes with deep residual learning. Medical Imaging: Image Processing 2021 - [c8]Vanika Singhal, Rajesh Langoju, Sidharth Abrol, Utkarsh Agrawal, Bhushan D. Patil, Sandeep Dutta, Bipul Das:
Noise characteristics in low to high kVp domain translation with Deep Regression Network. Medical Imaging: Image Processing 2021 - 2020
- [j4]Utkarsh Agrawal, Jatin Arora, Rahul Singh, Deepak Gupta, Ashish Khanna, Aditya Khamparia:
Hybrid Wolf-Bat Algorithm for Optimization of Connection Weights in Multi-layer Perceptron. ACM Trans. Multim. Comput. Commun. Appl. 16(1s): 37:1-37:20 (2020) - [c7]Jimiama Mafeni Mase, Utkarsh Agrawal, Direnc Pekaslan, Mohammad Mesgarpour, Peter Chapman, Mercedes Torres Torres, Grazziela P. Figueredo:
Capturing Uncertainty in Heavy Goods Vehicles Driving Behaviour. ITSC 2020: 1-7 - [i2]Utkarsh Agrawal, Mohit Goyal, Varun Ramamohan:
A Relaxation of the Stochastic Ruler Method for Discrete Simulation Optimization. CoRR abs/2010.06909 (2020) - [i1]Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash:
Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19. CoRR abs/2011.05186 (2020)
2010 – 2019
- 2019
- [j3]Utkarsh Agrawal, Daniele Soria, Christian Wagner, Jonathan M. Garibaldi, Ian O. Ellis, John M. S. Bartlett, David Cameron, Emad A. Rakha, Andrew R. Green:
Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles. Artif. Intell. Medicine 97: 27-37 (2019) - [j2]D. Jonathan Sebastian, Utkarsh Agrawal, Ali Tamimi, Adam Hahn:
DER-TEE: Secure Distributed Energy Resource Operations Through Trusted Execution Environments. IEEE Internet Things J. 6(4): 6476-6486 (2019) - [j1]Grazziela P. Figueredo, Utkarsh Agrawal, Jimiama M. M. Mase, Mohammad Mesgarpour, Christian Wagner, Daniele Soria, Jonathan M. Garibaldi, Peer-Olaf Siebers, Robert I. John:
Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom. IEEE Trans. Intell. Transp. Syst. 20(9): 3324-3336 (2019) - [c6]Utkarsh Agrawal, Christian Wagner, Jonathan M. Garibaldi, Daniele Soria:
Fuzzy Integral Driven Ensemble Classification using A Priori Fuzzy Measures. FUZZ-IEEE 2019: 1-7 - [c5]Utkarsh Agrawal, Jimiama Mafeni Mase, Grazziela P. Figueredo, Christian Wagner, Mohammad Mesgarpour, Robert I. John:
Towards Real-Time Heavy Goods Vehicle Driving Behaviour Classification in the United Kingdom. ITSC 2019: 2330-2336 - 2018
- [c4]Utkarsh Agrawal, Anthony J. Pinar, Christian Wagner, Timothy C. Havens, Daniele Soria, Jonathan M. Garibaldi:
Comparison of Fuzzy Integral-Fuzzy Measure Based Ensemble Algorithms with the State-of-the-Art Ensemble Algorithms. IPMU (1) 2018: 329-341 - [c3]Praneeth Susarla, Utkarsh Agrawal, Dinesh Babu Jayagopi:
Human Weapon-Activity Recognition in Surveillance Videos Using Structural-RNN. MedPRAI 2018: 101-107 - 2016
- [c2]Utkarsh Agrawal, Daniele Soria, Christian Wagner:
Cancer subtype identification pipeline: A classifusion approach. CEC 2016: 2858-2865 - 2015
- [c1]Namrata Srivastava, Utkarsh Agrawal, Soumava Kumar Roy, Uma Shanker Tiwary:
Human identification using Linear Multiclass SVM and Eye Movement biometrics. IC3 2015: 365-369
Coauthor Index
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last updated on 2024-10-07 22:20 CEST by the dblp team
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