Content Based Multimodal Retrieval for Databases of Indian Monuments. - Aman Agarwal; Vikas Saxena (IC3 (1), 2010)

Effective Evaluation Using Logged Bandit Feedback from Multiple Loggers. - Aman Agarwal; Soumya Basu 003; Tobias Schnabel; Thorsten Joachims (KDD, 2017)

Analyzing Behavioral Trends in Community Driven Discussion Platforms Like Reddit. - Sachin Thukral; Hardik Meisheri; Tushar Kataria; Aman Agarwal; Ishan Verma; Arnab Chatterjee; Lipika Dey (ASONAM, 2018)

Counterfactual Learning-to-Rank for Additive Metrics and Deep Models. - Aman Agarwal; Ivan Zaitsev; Thorsten Joachims (CoRR, 2018)

Consistent Position Bias Estimation without Online Interventions for Learning-to-Rank. - Aman Agarwal; Ivan Zaitsev; Thorsten Joachims (CoRR, 2018)

Offline Comparison of Ranking Functions using Randomized Data. - Aman Agarwal; Xuanhui Wang; Cheng Li 012; Michael Bendersky; Marc Najork (CoRR, 2018)

A General Framework for Counterfactual Learning-to-Rank. - Aman Agarwal; Kenta Takatsu; Ivan Zaitsev; Thorsten Joachims (SIGIR, 2019)

Intervention Harvesting for Context-Dependent Examination-Bias Estimation. - Zhichong Fang; Aman Agarwal; Thorsten Joachims (SIGIR, 2019)

Estimating Position Bias without Intrusive Interventions. - Aman Agarwal; Ivan Zaitsev; Xuanhui Wang; Cheng Li 012; Marc Najork; Thorsten Joachims (WSDM, 2019)

Addressing Trust Bias for Unbiased Learning-to-Rank. - Aman Agarwal; Xuanhui Wang; Cheng Li 012; Michael Bendersky; Marc Najork (WWW, 2019)

Characterizing behavioral trends in a community driven discussion platform. - Sachin Thukral; Arnab Chatterjee; Hardik Meisheri; Tushar Kataria; Aman Agarwal; Ishan Verma; Lipika Dey (CoRR, 2019)

Exploring Sentiments of Voters through Social Media Content: A Case Study of 2017 Assembly Elections of Three States in India. - Aman Agarwal; Veena Bansal (ICEIS (1), 2020)

Using LSTM for the Prediction of Disruption in ADITYA Tokamak. - Aman Agarwal; Aditya Mishra; Priyanka Sharma; Swati Jain; Sutapa Ranjan; Ranjana Manchanda (CoRR, 2020)

Functionally Effective Conscious AI Without Suffering. - Aman Agarwal; Shimon Edelman (J. Artif. Intell. Conscious., 2020)

Comparative analysis of environment losses in steel manufacturing supply chain using Taguchi loss function and design of experiments. - Shishir Goyal; Aman Agarwal; Srikanta Routroy (J. Enterp. Inf. Manag., 2020)

Fake News Detection Using a Blend of Neural Networks: An Application of Deep Learning. - Aman Agarwal; Mamta Mittal; Akshat Pathak; Lalit Mohan Goyal (SN Comput. Sci., 2020)

Unbiased Learning-to-Rank from Logged Implicit Feedback. - Aman Agarwal (2020)

Efficient Protocol to Optimize New Radio Frequency Scanning in 5G Network. - Nishant; Kailash Kumar Jha; Avneesh Tiwari; Alok Kumar Jangid; Aman Agarwal; Nitesh Pushpak Shah; Debabrata Das (5GWF, 2021)

Explain to me like I am five - Sentence Simplification Using Transformers. - Aman Agarwal (CoRR, 2022)

Application of Hybrid Approach towards Multi Aspect Classification and Analysis of Malware. - Debashreet Das; Shashank Mouli Satapathy; Ajitha D; Aman Agarwal (OCIT, 2023)

DeepPHiC: predicting promoter-centered chromatin interactions using a novel deep learning approach. - Aman Agarwal; Li Chen 029 (Bioinform., 2023)

TIVAN-indel: a computational framework for annotating and predicting non-coding regulatory small insertions and deletions. - Aman Agarwal; Fengdi Zhao; Yuchao Jiang; Li Chen 029 (Bioinform., 2023)

Coordinating Numerical Relays with Voltage-Time-Current Characteristics in DG Integrated Power Networks and Implementation using FPGA. - N. Praneeth; Aman Agarwal; Abhishek Toluva; Madhulika Das; STP Srinivas; Alivelu Manga Parimi (ISGT Asia, 2024)

CBAR-UNet: A novel methodology for segmentation of cardiac magnetic resonance images using block attention-based deep residual neural network. - Rakesh Kumar 009; Meenu Gupta; Aman Agarwal; Anand Nayyar (Multim. Tools Appl., 2024)

Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization. - Aman Agarwal; James Gearon; Raksha Rank; Etienne Chenevert (CoRR, 2025)