Garima Gupta

According to our database1, Garima Gupta authored at least 43 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
A computational approach towards food-wine recommendations.
Expert Syst. Appl., March, 2024

2023
A novel approach to alleviate data sparsity and generate dynamic fruit recommendations from point-of-sale data.
Concurr. Comput. Pract. Exp., January, 2023

Analysis of Document Security Features.
Proceedings of the Advances in Digital Forensics XIX, 2023

Deep Survival Analysis and Counterfactual Inference Using Balanced Representations.
Proceedings of the IEEE International Conference on Acoustics, 2023

X4SR: Post-Hoc Explanations for Session-based Recommendations.
Proceedings of the 2023 SIGIR Workshop on eCommerce co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), 2023

2022
Opportunities for social robots in the stuttering clinic: A review and proposed scenarios.
Paladyn J. Behav. Robotics, 2022

Potential Applications of Social Robots in Robot-Assisted Interventions for Social Anxiety.
Int. J. Soc. Robotics, 2022

DRTCI: Learning Disentangled Representations for Temporal Causal Inference.
CoRR, 2022

Proposed Applications of Social Robots in Interventions for Children and Adolescents with Social Anxiety.
Proceedings of the TEI '22: Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction, Daejeon, Republic of Korea, February 13, 2022

Identifying the Leak Sources of Hard Copy Documents.
Proceedings of the Advances in Digital Forensics XVIII, 2022

2021
BCQ4DCA: Budget Constrained Deep Q-Network for Dynamic Campaign Allocation in Computational Advertising.
Proceedings of the International Joint Conference on Neural Networks, 2021

Security and Privacy Issues Related to Quick Response Codes.
Proceedings of the Advances in Digital Forensics XVII, 2021

Indian Currency Database for Forensic Research.
Proceedings of the Advances in Digital Forensics XVII, 2021

A Game Theoretic Bandwidth Allocation Scheme towards Improving the Fairness of XG-PON Systems.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Predicting the Bandwidth Requests in XG-PON System using Ensemble Learning.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

A Case-Based Approach to Data-to-Text Generation.
Proceedings of the Case-Based Reasoning Research and Development, 2021

2020
CAMTA: Casual Attention Model for Multi-touch Attribution.
CoRR, 2020

Hi-CI: Deep Causal Inference in High Dimensions.
Proceedings of the 2020 KDD Workshop on Causal Discovery (CD@KDD 2020), 2020

Target Identity Attacks on Facial Recognition Systems.
Proceedings of the Advances in Digital Forensics XVI, 2020

CAMTA: Causal Attention Model for Multi-touch Attribution.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

MultiMBNN: Matched and Balanced Causal Inference with Neural Networks.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019
MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population.
CoRR, 2019

CRESA: A Deep Learning Approach to Competing Risks, Recurrent Event Survival Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Quick Response Encoding of Human Facial Images for Identity Fraud Detection.
Proceedings of the Advances in Digital Forensics XV, 2019

2018
Corona Based Optimal Node Deployment Distribution in Wireless Sensor Networks.
Wirel. Pers. Commun., 2018

Automated Compiler Optimization of Multiple Vector Loads/Stores.
Int. J. Parallel Program., 2018

Visual Predictive Analytics using iFuseML.
Proceedings of the 9th International EuroVis Workshop on Visual Analytics, 2018

Detecting Data Leakage from Hard Copy Documents.
Proceedings of the Advances in Digital Forensics XIV, 2018

Comparative benchmarking of causal discovery algorithms.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

2017
Comparative Benchmarking of Causal Discovery Techniques.
CoRR, 2017

Deep Convolutional Neural Networks for Pairwise Causality.
CoRR, 2017

Minimally-Supervised Attribute Fusion for Data Lakes.
CoRR, 2017

Local characterization of neovascularization and identification of proliferative diabetic retinopathy in retinal fundus images.
Comput. Medical Imaging Graph., 2017

Automated Product-Attribute Mapping.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

Detecting Fraudulent Bank Checks.
Proceedings of the Advances in Digital Forensics XIII - 13th IFIP WG 11.9 International Conference, Orlando, FL, USA, January 30, 2017

Applications of computing with words in medicine: Promises and potential.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
Visual Bayesian fusion to navigate a data lake.
Proceedings of the 19th International Conference on Information Fusion, 2016

2015
Computer-assisted identification of proliferative diabetic retinopathy in color retinal images.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
A Survey on Cloud Security Issues and Techniques.
CoRR, 2014

2012
Reference based approach to mitigate blackhole attacks in delay tolerant networks.
Proceedings of the Q2SWinet'12, 2012

2008
Time and space adaptation for computational grids with the ATOP-Grid middleware.
Future Gener. Comput. Syst., 2008

2006
Time vs. space adaptation with ATOP-grid.
Proceedings of the 5th workshop on Adaptive and reflective middleware, 2006

2005
Heuristic Improvements for Computing Maximum Multicommodity Flow and Minimum Multicut.
Proceedings of the Algorithms, 2005


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