Utkarsh Agrawal

According to our database, Utkarsh Agrawal authored at least 24 papers between 2015 and 2023.

Collaborative distances:

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

2023

A deep learning method for pinwheel artifact reduction in CT.

Utkarsh Agrawal, Rajesh Langoju, Yasuhiro Imai, Risa Shigemasa, Bipul Das

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Improving Accuracy for Flight Fare Prediction using Random Forest Algorithm.

Jesline Daniel, Kanisha B, Meenakshi P, Mohana Priya K, Utkarsh Agrawal, Shanti Ramakrishnan

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

2022

Normalized Mutual Information-based equilibrium optimizer with chaotic maps for wrapper-filter feature selection.

Utkarsh Agrawal, Vasudha Rohatgi, Rahul Katarya

Expert Syst. Appl., November, 2022

Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists.

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

Neurocomputing, 2022

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.

Rohit Rastogi, Devendra K. Chaturvedi, Mukund K. Rastogi, Saransh Chauhan, Vaibhav Aggarwal, Utkarsh Agrawal, Richa Singh

Int. J. Inf. Syst. Soc. Chang., 2022

Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving.

Jimiama Mafeni Mase, Direnc Pekaslan, Utkarsh Agrawal, Mohammad Mesgarpour, Peter Chapman, Mercedes Torres Torres, Grazziela P. Figueredo

CoRR, 2022

Stochastic Weight Perturbations Along the Hessian: A Plug-and-Play Method to Compute Uncertainty.

Hariharan Ravishankar, Rohan Patil, Deepa Anand, Vanika Singhal, Utkarsh Agrawal, Rahul Venkataramani, Prasad Sudhakar

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022

Towards Generalization of Medical Imaging AI Models: Sharpness-Aware Minimizers and Beyond.

Deepa Anand, Rohan Patil, Utkarsh Agrawal, Rahul Venkataramani, Hariharan Ravishankar, Prasad Sudhakar

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Distracted driver recognition system using deep forest.

Moolchand Sharma, Ananya Bansal, Utkarsh Agrawal, Pramod Goyal

Int. J. Electron. Bus., 2021

Noise characteristics in low to high kVp domain translation with Deep Regression Network.

Vanika Singhal, Rajesh Langoju, Sidharth Abrol, Utkarsh Agrawal, Bhushan D. Patil, Sandeep Dutta, Bipul Das

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Enhancing Z-resolution in CT volumes with deep residual learning.

Utkarsh Agrawal, Aditya Hegde, Rajesh Langoju, Prasad Sudhakar, Bhushan D. Patil, Sundar R. K., Yasuhiro Imai, Risa Shigemasa, Omi Yasuo, Bipul Das

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Pristine Annotations-Based Multi-modal Trained Artificial Intelligence Solution to Triage Chest X-Ray for COVID-19.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Hybrid Wolf-Bat Algorithm for Optimization of Connection Weights in Multi-layer Perceptron.

Utkarsh Agrawal, Jatin Arora, Rahul Singh, Deepak Gupta, Ashish Khanna, Aditya Khamparia

ACM Trans. Multim. Comput. Commun. Appl., 2020

A Relaxation of the Stochastic Ruler Method for Discrete Simulation Optimization.

Utkarsh Agrawal, Mohit Goyal, Varun Ramamohan

CoRR, 2020

Capturing Uncertainty in Heavy Goods Vehicles Driving Behaviour.

Jimiama Mafeni Mase, Utkarsh Agrawal, Direnc Pekaslan, Mohammad Mesgarpour, Peter Chapman, Mercedes Torres Torres, Grazziela P. Figueredo

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019

Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom.

Grazziela P. Figueredo, Utkarsh Agrawal, Jimiama M. M. Mase, Mohammad Mesgarpour, Christian Wagner, Daniele Soria, Jonathan M. Garibaldi, Peer-Olaf Siebers, Robert I. John

IEEE Trans. Intell. Transp. Syst., 2019

DER-TEE: Secure Distributed Energy Resource Operations Through Trusted Execution Environments.

D. Jonathan Sebastian, Utkarsh Agrawal, Ali Tamimi, Adam Hahn

IEEE Internet Things J., 2019

Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles.

Utkarsh Agrawal, Daniele Soria, Christian Wagner, Jonathan M. Garibaldi, Ian O. Ellis, John M. S. Bartlett, David Cameron, Emad A. Rakha, Andrew R. Green

Artif. Intell. Medicine, 2019

Towards Real-Time Heavy Goods Vehicle Driving Behaviour Classification in the United Kingdom.

Utkarsh Agrawal, Jimiama Mafeni Mase, Grazziela P. Figueredo, Christian Wagner, Mohammad Mesgarpour, Robert I. John

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Fuzzy Integral Driven Ensemble Classification using A Priori Fuzzy Measures.

Utkarsh Agrawal, Christian Wagner, Jonathan M. Garibaldi, Daniele Soria

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018

Human Weapon-Activity Recognition in Surveillance Videos Using Structural-RNN.

Praneeth Susarla, Utkarsh Agrawal, Dinesh Babu Jayagopi

Proceedings of the 2nd Mediterranean Conference on Pattern Recognition and Artificial Intelligence, 2018

Comparison of Fuzzy Integral-Fuzzy Measure Based Ensemble Algorithms with the State-of-the-Art Ensemble Algorithms.

Utkarsh Agrawal, Anthony J. Pinar, Christian Wagner, Timothy C. Havens, Daniele Soria, Jonathan M. Garibaldi

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

2016

Cancer subtype identification pipeline: A classifusion approach.

Utkarsh Agrawal, Daniele Soria, Christian Wagner

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Human identification using Linear Multiclass SVM and Eye Movement biometrics.

Namrata Srivastava, Utkarsh Agrawal, Soumava Kumar Roy, Uma Shanker Tiwary

Proceedings of the Eighth International Conference on Contemporary Computing, 2015