Multiresolutional texture analysis of multispectral imagery for automated ground cover classification. - Lori Mann Bruce; Hrishikesh Tamhankar; Abhinav Mathur; Roger L. King (IGARSS, 2002)

Wavelet transform for dimensionality reduction in hyperspectral linear unmixing. - Jiang Li; Lori Mann Bruce; Abhinav Mathur (IGARSS, 2002)

Discrimination of subtly different vegetative species via hyperspectral data. - Abhinav Mathur; Lori Mann Bruce; James Allen Byrd (IGARSS, 2002)

Hyperspec - analysis of handheld spectroradiometer data. - Abhinav Mathur; Lori M. Bruce; Anil M. Cheriyadat; Huang-de Hennessy Lin (IGARSS, 2003)

Automated texture recognition system based on 2D minimum variance spectral estimation. - Abhinav Mathur; Nicolas H. Younan; Lori Mann Bruce (IGARSS, 2004)

Effects of watermarking on feature efficacy in remotely sensed data. - Hrishikesh Tamhankar; Abhinav Mathur; Lori Mann Bruce (IGARSS, 2004)

Hyperspectral dimensionality reduction via localized discriminant bases. - Shilpa Venkataraman; Lori M. Bruce; Anil M. Cheriyadat; Abhinav Mathur (IGARSS, 2005)

Exploiting Hyperspectral Hypertemporal Imagery with Feature Clustering for Invasive Species Detection. - Abhinav Mathur; Lori Mann Bruce; D. W. Johnson; Wilfredo Robles (IGARSS, 2006)

Automated Stepwise Selection of Hyperspectral Hypertemporal Features for Target Detection. - Abhinav Mathur; Lori M. Bruce; D. W. Johnson; Wilfredo Robles; John Madsen (IGARSS, 2006)

Meta-metadata: a metadata semantics language for collection representation applications. - Andruid Kerne; Yin Qu; Andrew M. Webb; Sashikanth Damaraju; Nic Lupfer; Abhinav Mathur (CIKM, 2010)

Sanjeevini: a freely accessible web-server for target directed lead molecule discovery. - Bhyravabhotla Jayaram; Tanya Singh; Goutam Mukherjee; Abhinav Mathur; Shashank Shekhar; Vandana Shekhar (BMC Bioinform., 2012)

EDUQA: Educational Domain Question Answering System Using Conceptual Network Mapping. - Abhishek Agarwal; Nikhil Sachdeva; Raj Kamal Yadav; Vishaal Udandarao; Vrinda Mittal; Anubha Gupta; Abhinav Mathur (ICASSP, 2019)

On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering. - Venugopal Mani; Ramasubramanian Balasubramanian; Sushant Kumar; Abhinav Mathur; Kannan Achan (IEEE BigData, 2020)

Variational Inference for Category Recommendation in E-Commerce platforms. - Ramasubramanian Balasubramanian; Venugopal Mani; Abhinav Mathur; Sushant Kumar; Kannan Achan (CoRR, 2021)

Privacy Preserving Visual Question Answering. - Cristian-Paul Bara; Qing Ping; Abhinav Mathur; Govind Thattai; Rohith MV; Gaurav S. Sukhatme (CoRR, 2022)

Towards Reasoning-Aware Explainable VQA. - Rakesh Vaideeswaran; Feng Gao 013; Abhinav Mathur; Govind Thattai (CoRR, 2022)

Bridging the Trust Gap in Machine Learning Automation: Enhancing End-User Confidence Through Generative AI-Driven Explanations in Natural Language. - Rahul Kharat; Abhinav Mathur (WEB, 2023)

An Exploratory Analyses of Consumers' Digital Focus on Bitcoin Price and Activity. - B. Muralikrishnan; Abhinav Mathur; N. Govindrajan; Anita Manda (WEB, 2023)

Body Sensor-Based Multimodal Nurse Stress Detection Using Machine Learning. - Abhinav Mathur; Shikha Shikha; Divyashikha Sethia (COMSNETS, 2024)

MAG-V: A Multi-Agent Framework for Synthetic Data Generation and Verification. - Saptarshi Sengupta; Kristal Curtis; Akshay Mallipeddi; Abhinav Mathur; Joseph Ross; Liang Gou (CoRR, 2024)

The Amazon Nova Family of Models: Technical Report and Model Card. - Amazon AGI; Aaron Langford; Aayush Shah; Abhanshu Gupta; Abhimanyu Bhatter; Abhinav Goyal 004; Abhinav Mathur; Abhinav Mohanty; Abhishek Kumar; Abhishek Sethi; Abi Komma; Abner Pena; et al. (CoRR, 2025)