Human identification using Linear Multiclass SVM and Eye Movement biometrics. - Namrata Srivastava; Utkarsh Agrawal; Soumava Kumar Roy; Uma Shanker Tiwary (IC3, 2015)

Cancer subtype identification pipeline: A classifusion approach. - Utkarsh Agrawal; Daniele Soria; Christian Wagner 002 (CEC, 2016)

Comparison of Fuzzy Integral-Fuzzy Measure Based Ensemble Algorithms with the State-of-the-Art Ensemble Algorithms. - Utkarsh Agrawal; Anthony J. Pinar; Christian Wagner 002; Timothy C. Havens; Daniele Soria; Jonathan M. Garibaldi (IPMU (1), 2018)

Human Weapon-Activity Recognition in Surveillance Videos Using Structural-RNN. - Praneeth Susarla; Utkarsh Agrawal; Dinesh Babu Jayagopi (MedPRAI, 2018)

Fuzzy Integral Driven Ensemble Classification using A Priori Fuzzy Measures. - Utkarsh Agrawal; Christian Wagner 002; Jonathan M. Garibaldi; Daniele Soria (FUZZ-IEEE, 2019)

Towards Real-Time Heavy Goods Vehicle Driving Behaviour Classification in the United Kingdom. - Utkarsh Agrawal; Jimiama Mafeni Mase; Grazziela P. Figueredo; Christian Wagner 002; Mohammad Mesgarpour; Robert I. John (ITSC, 2019)

Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles. - Utkarsh Agrawal; Daniele Soria; Christian Wagner 002; Jonathan M. Garibaldi; Ian O. Ellis; John M. S. Bartlett; David Cameron; Emad A. Rakha; Andrew R. Green (Artif. Intell. Medicine, 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)

Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom. - Grazziela P. Figueredo; Utkarsh Agrawal; Jimiama M. M. Mase; Mohammad Mesgarpour; Christian Wagner 002; Daniele Soria; Jonathan M. Garibaldi; Peer-Olaf Siebers; Robert I. John (IEEE Trans. Intell. Transp. Syst., 2019)

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 (ITSC, 2020)

A Relaxation of the Stochastic Ruler Method for Discrete Simulation Optimization. - Utkarsh Agrawal; Mohit Goyal; Varun Ramamohan (CoRR, 2020)

Hybrid Wolf-Bat Algorithm for Optimization of Connection Weights in Multi-layer Perceptron. - Utkarsh Agrawal; Jatin Arora 007; Rahul Singh; Deepak Gupta 002; Ashish Khanna; Aditya Khamparia (ACM Trans. Multim. Comput. Commun. Appl., 2020)

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; et al. (MICCAI (7), 2021)

Enhancing Z-resolution in CT volumes with deep residual learning. - Utkarsh Agrawal; Aditya Hegde 003; Rajesh Langoju; Prasad Sudhakar; Bhushan D. Patil; Sundar R. K.; Yasuhiro Imai; Risa Shigemasa; Omi Yasuo; Bipul Das (Image Processing, 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 (Image Processing, 2021)

Distracted driver recognition system using deep forest. - Moolchand Sharma; Ananya Bansal; Utkarsh Agrawal; Pramod Goyal (Int. J. Electron. Bus., 2021)

Towards Generalization of Medical Imaging AI Models: Sharpness-Aware Minimizers and Beyond. - Deepa Anand; Rohan Patil; Utkarsh Agrawal; Rahul Venkataramani; Hariharan Ravishankar; Prasad Sudhakar (ISBI, 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 (UNSURE@MICCAI, 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)

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)

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; et al. (Neurocomputing, 2022)

Normalized Mutual Information-based equilibrium optimizer with chaotic maps for wrapper-filter feature selection. - Utkarsh Agrawal; Vasudha Rohatgi; Rahul Katarya (Expert Syst. Appl., 2022)

Improving Accuracy for Flight Fare Prediction using Random Forest Algorithm. - Jesline Daniel; Kanisha B; Meenakshi P; Mohana Priya K; Utkarsh Agrawal; Shanti Ramakrishnan (ICCCNT, 2023)

A deep learning method for pinwheel artifact reduction in CT. - Utkarsh Agrawal; Rajesh Langoju; Yasuhiro Imai; Risa Shigemasa; Bipul Das (Image Processing, 2023)

Structured Noise Reduction with Texture Preservation in Low-Dose X-Ray Computed Tomography. - Rajesh Langoju; Utkarsh Agrawal; Bipul Das (ISBI, 2024)

Prediction Model for AQI through Indian Vedic Science: Knowledge Management Technique to Control Pollution and for Sustainable Society. - Richa Singh; Utkarsh Agrawal; Vaibhav Aggarwal; Yash Rastogi; Saransh Chauhan; Rohit Rastogi (Int. J. Data Anal. Tech. Strateg., 2025)