Heuristic Improvements for Computing Maximum Multicommodity Flow and Minimum Multicut. - Garima Batra; Naveen Garg 001; Garima Gupta (ESA, 2005)

Time vs. space adaptation with ATOP-grid. - Angela C. Sodan; Garima Gupta (ARM@Middleware, 2006)

Time and space adaptation for computational grids with the ATOP-Grid middleware. - Angela C. Sodan; Garima Gupta; Lin Han; Lun Liu 001; Benjamin J. Lafreniere (Future Gener. Comput. Syst., 2008)

Reference based approach to mitigate blackhole attacks in delay tolerant networks. - Garima Gupta; Preeti Nagrath; Sandhya Aneja; Neelima Gupta (Q2SWinet, 2012)

A Survey on Cloud Security Issues and Techniques. - Shubhanjali Sharma; Garima Gupta; P. R. Laxmi (CoRR, 2014)

Computer-assisted identification of proliferative diabetic retinopathy in color retinal images. - Garima Gupta; Selvaraj Kulasekaran; Keerthi Ram; Niranjan Joshi; Mohanasankar Sivaprakasam; Rashmin Gandhi (EMBC, 2015)

Visual Bayesian fusion to navigate a data lake. - Karamjit Singh; Kaushal Paneri; Aditeya Pandey; Garima Gupta; Geetika Sharma; Puneet Agarwal; Gautam Shroff (FUSION, 2016)

Applications of computing with words in medicine: Promises and potential. - Aashi Jain; Divya Gupta; Garima Gupta; Swati Aggarwal (FUZZ-IEEE, 2017)

Detecting Fraudulent Bank Checks. - Saheb Chhabra; Garima Gupta; Monika Gupta; Gaurav Gupta (IFIP Int. Conf. Digital Forensics, 2017)

Automated Product-Attribute Mapping. - Karamjit Singh; Garima Gupta; Gautam Shroff; Puneet Agarwal (PAKDD (Workshops), 2017)

Local characterization of neovascularization and identification of proliferative diabetic retinopathy in retinal fundus images. - Garima Gupta; S. Kulasekaran; Keerthi Ram; Niranjan Joshi; Mohanasankar Sivaprakasam; Rashmin Gandhi (Comput. Medical Imaging Graph., 2017)

Minimally-Supervised Attribute Fusion for Data Lakes. - Karamjit Singh; Garima Gupta; Gautam Shroff; Puneet Agarwal (CoRR, 2017)

Deep Convolutional Neural Networks for Pairwise Causality. - Karamjit Singh; Garima Gupta; Lovekesh Vig; Gautam Shroff; Puneet Agarwal (CoRR, 2017)

Comparative Benchmarking of Causal Discovery Techniques. - Karamjit Singh; Garima Gupta; Vartika Tewari; Gautam Shroff (CoRR, 2017)

Comparative benchmarking of causal discovery algorithms. - Karamjit Singh; Garima Gupta; Vartika Tewari; Gautam Shroff (COMAD/CODS, 2018)

Detecting Data Leakage from Hard Copy Documents. - Jijnasa Nayak; Shweta Singh; Saheb Chhabra; Gaurav Gupta; Monika Gupta; Garima Gupta (IFIP Int. Conf. Digital Forensics, 2018)

Visual Predictive Analytics using iFuseML. - Gunjan Sehgal; Mrinal Rawat; Bindu Gupta; Garima Gupta; Geetika Sharma; Gautam Shroff (EuroVA@EuroVis, 2018)

Automated Compiler Optimization of Multiple Vector Loads/Stores. - Farhana Aleen; Vyacheslav P. Zakharin; Rakesh Krishnaiyer; Garima Gupta; David Kreitzer; Chang-Sun Lin Jr. (Int. J. Parallel Program., 2018)

Corona Based Optimal Node Deployment Distribution in Wireless Sensor Networks. - Vivekanand Jha 001; Shekhar Verma; Nupur Prakash; Garima Gupta (Wirel. Pers. Commun., 2018)

Quick Response Encoding of Human Facial Images for Identity Fraud Detection. - Shweta Singh; Saheb Chhabra; Garima Gupta; Monika Gupta; Gaurav Gupta (IFIP Int. Conf. Digital Forensics, 2019)

CRESA: A Deep Learning Approach to Competing Risks, Recurrent Event Survival Analysis. - Garima Gupta; Vishal Sunder; Ranjitha Prasad; Gautam Shroff (PAKDD (2), 2019)

MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population. - Ankit Sharma; Garima Gupta; Ranjitha Prasad; Arnab Chatterjee; Lovekesh Vig; Gautam Shroff (CoRR, 2019)

MultiMBNN: Matched and Balanced Causal Inference with Neural Networks. - Ankit Sharma; Garima Gupta; Ranjitha Prasad; Arnab Chatterjee; Lovekesh Vig; Gautam Shroff (ESANN, 2020)

CAMTA: Causal Attention Model for Multi-touch Attribution. - Sachin Kumar; Garima Gupta; Ranjitha Prasad; Arnab Chatterjee; Lovekesh Vig; Gautam Shroff (ICDM (Workshops), 2020)

Target Identity Attacks on Facial Recognition Systems. - Saheb Chhabra; Naman Banati; Gaurav Gupta; Garima Gupta (IFIP Int. Conf. Digital Forensics, 2020)

Hi-CI: Deep Causal Inference in High Dimensions. - Ankit Sharma; Garima Gupta; Ranjitha Prasad; Arnab Chatterjee; Lovekesh Vig; Gautam Shroff (CD@KDD, 2020)

CAMTA: Casual Attention Model for Multi-touch Attribution. - Sachin Kumar; Garima Gupta; Ranjitha Prasad; Arnab Chatterjee; Lovekesh Vig; Gautam Shroff (CoRR, 2020)

A Case-Based Approach to Data-to-Text Generation. - Ashish Upadhyay; Stewart Massie; Ritwik Kumar Singh; Garima Gupta; Muneendra Ojha (ICCBR, 2021)

Predicting the Bandwidth Requests in XG-PON System using Ensemble Learning. - Garima Gupta; Anamika Rai; Vivekanand Jha 001 (ICTC, 2021)

A Game Theoretic Bandwidth Allocation Scheme towards Improving the Fairness of XG-PON Systems. - Damanjeet Kaur; Garima Gupta; Vivekanand Jha 001 (ICTC, 2021)

Indian Currency Database for Forensic Research. - Saheb Chhabra; Gaurav Gupta; Garima Gupta; Monika Gupta (IFIP Int. Conf. Digital Forensics, 2021)

Security and Privacy Issues Related to Quick Response Codes. - Pulkit Garg; Saheb Chhabra; Gaurav Gupta; Garima Gupta; Monika Gupta (IFIP Int. Conf. Digital Forensics, 2021)

BCQ4DCA: Budget Constrained Deep Q-Network for Dynamic Campaign Allocation in Computational Advertising. - Manasi Malik; Garima Gupta; Lovekesh Vig; Gautam Shroff (IJCNN, 2021)

Identifying the Leak Sources of Hard Copy Documents. - Pulkit Garg; Garima Gupta; Ranjan Kumar; Somitra Sanadhya; Gaurav Gupta (IFIP Int. Conf. Digital Forensics, 2022)

Proposed Applications of Social Robots in Interventions for Children and Adolescents with Social Anxiety. - Samira Rasouli; Garima Gupta; Moojan Ghafurian; Kerstin Dautenhahn (TEI, 2022)

DRTCI: Learning Disentangled Representations for Temporal Causal Inference. - Garima Gupta; Lovekesh Vig; Gautam Shroff (CoRR, 2022)

Potential Applications of Social Robots in Robot-Assisted Interventions for Social Anxiety. - Samira Rasouli; Garima Gupta; Elizabeth Nilsen; Kerstin Dautenhahn (Int. J. Soc. Robotics, 2022)

Opportunities for social robots in the stuttering clinic: A review and proposed scenarios. - Shruti Chandra; Garima Gupta; Torrey M. Loucks; Kerstin Dautenhahn (Paladyn J. Behav. Robotics, 2022)

X4SR: Post-Hoc Explanations for Session-based Recommendations. - Jyoti Narwariya; Priyanka Gupta 003; Garima Gupta; Lovekesh Vig; Gautam Shroff (eCom@SIGIR, 2023)

Deep Survival Analysis and Counterfactual Inference Using Balanced Representations. - Muskan Gupta; Gokul Kannan; Ranjitha Prasad; Garima Gupta (ICASSP, 2023)

Analysis of Document Security Features. - Pulkit Garg; Saheb Chhabra; Garima Gupta; Vishal Srivastava; Gaurav Gupta (IFIP Int. Conf. Digital Forensics, 2023)

A novel approach to alleviate data sparsity and generate dynamic fruit recommendations from point-of-sale data. - Garima Gupta; Rahul Katarya (Concurr. Comput. Pract. Exp., 2023)

A computational approach towards food-wine recommendations. - Garima Gupta; Rahul Katarya (Expert Syst. Appl., 2024)

Comparative Analysis of Machine Learning Techniques in Air Quality Index (AQI) prediction in smart cities. - Gaurav Sharma; Savita Khurana; Nitin Saina; Shivansh; Garima Gupta (Int. J. Syst. Assur. Eng. Manag., 2024)

ChatGPT and digital capitalism: need for an antidote of Competition Law. - Garima Gupta (AI Soc., 2025)

Systematic Review of Social Robots for Health and Wellbeing: A Personal Healthcare Journey Lens. - Moojan Ghafurian; Shruti Chandra; Rebecca Hutchinson; Angelica Lim; Ishan Baliyan; Jimin Rhim; Garima Gupta; Alexander Mois Aroyo; Samira Rasouli; Kerstin Dautenhahn (ACM Trans. Hum. Robot Interact., 2025)