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ORCIDGarima Gupta
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2020 – today
- 2024
[j9]Garima Gupta, Rahul Katarya
:
A computational approach towards food-wine recommendations. Expert Syst. Appl. 238(Part A): 121766 (2024)- [j8]Gaurav Sharma, Savita Khurana, Nitin Saina, Shivansh, Garima Gupta:
Comparative Analysis of Machine Learning Techniques in Air Quality Index (AQI) prediction in smart cities. Int. J. Syst. Assur. Eng. Manag. 15(7): 3060-3075 (2024) - 2023
- [j7]Garima Gupta, Rahul Katarya:
A novel approach to alleviate data sparsity and generate dynamic fruit recommendations from point-of-sale data. Concurr. Comput. Pract. Exp. 35(1) (2023) - [c29]Jyoti Narwariya, Priyanka Gupta, Garima Gupta, Lovekesh Vig, Gautam Shroff:
X4SR: Post-Hoc Explanations for Session-based Recommendations. eCom@SIGIR 2023 - [c28]Muskan Gupta, Gokul Kannan, Ranjitha Prasad, Garima Gupta:
Deep Survival Analysis and Counterfactual Inference Using Balanced Representations. ICASSP 2023: 1-5 - [c27]Pulkit Garg, Saheb Chhabra, Garima Gupta, Vishal Srivastava, Gaurav Gupta:
Analysis of Document Security Features. IFIP Int. Conf. Digital Forensics 2023: 143-159 - 2022
- [j6]Samira Rasouli, Garima Gupta, Elizabeth Nilsen, Kerstin Dautenhahn:
Potential Applications of Social Robots in Robot-Assisted Interventions for Social Anxiety. Int. J. Soc. Robotics 14(5): 1-32 (2022) - [j5]Shruti Chandra, Garima Gupta, Torrey M. Loucks, Kerstin Dautenhahn:
Opportunities for social robots in the stuttering clinic: A review and proposed scenarios. Paladyn J. Behav. Robotics 13(1): 23-44 (2022) - [c26]Pulkit Garg, Garima Gupta, Ranjan Kumar, Somitra Sanadhya, Gaurav Gupta:
Identifying the Leak Sources of Hard Copy Documents. IFIP Int. Conf. Digital Forensics 2022: 155-167 - [c25]Samira Rasouli, Garima Gupta, Moojan Ghafurian, Kerstin Dautenhahn:
Proposed Applications of Social Robots in Interventions for Children and Adolescents with Social Anxiety. TEI 2022: 71:1-71:7 - [i9]Garima Gupta, Lovekesh Vig, Gautam Shroff:
DRTCI: Learning Disentangled Representations for Temporal Causal Inference. CoRR abs/2201.08137 (2022) - 2021
- [c24]Ashish Upadhyay, Stewart Massie, Ritwik Kumar Singh, Garima Gupta, Muneendra Ojha:
A Case-Based Approach to Data-to-Text Generation. ICCBR 2021: 232-247 - [c23]Damanjeet Kaur, Garima Gupta, Vivekanand Jha:
A Game Theoretic Bandwidth Allocation Scheme towards Improving the Fairness of XG-PON Systems. ICTC 2021: 921-926 - [c22]Garima Gupta, Anamika Rai, Vivekanand Jha:
Predicting the Bandwidth Requests in XG-PON System using Ensemble Learning. ICTC 2021: 936-941 - [c21]Saheb Chhabra, Gaurav Gupta, Garima Gupta, Monika Gupta:
Indian Currency Database for Forensic Research. IFIP Int. Conf. Digital Forensics 2021: 237-253 - [c20]Pulkit Garg, Saheb Chhabra, Gaurav Gupta, Garima Gupta, Monika Gupta:
Security and Privacy Issues Related to Quick Response Codes. IFIP Int. Conf. Digital Forensics 2021: 255-267 - [c19]Manasi Malik, Garima Gupta, Lovekesh Vig, Gautam Shroff:
BCQ4DCA: Budget Constrained Deep Q-Network for Dynamic Campaign Allocation in Computational Advertising. IJCNN 2021: 1-8 - 2020
- [c18]Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff:
MultiMBNN: Matched and Balanced Causal Inference with Neural Networks. ESANN 2020: 25-30 - [c17]Sachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff:
CAMTA: Causal Attention Model for Multi-touch Attribution. ICDM (Workshops) 2020: 79-86 - [c16]Saheb Chhabra, Naman Banati, Gaurav Gupta, Garima Gupta:
Target Identity Attacks on Facial Recognition Systems. IFIP Int. Conf. Digital Forensics 2020: 233-252 - [c15]Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff:
Hi-CI: Deep Causal Inference in High Dimensions. CD@KDD 2020: 39-61 - [i8]Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff:
MultiMBNN: Matched and Balanced Causal Inference with Neural Networks. CoRR abs/2004.13446 (2020) - [i7]Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff:
Hi-CI: Deep Causal Inference in High Dimensions. CoRR abs/2008.09858 (2020) - [i6]Sachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff:
CAMTA: Casual Attention Model for Multi-touch Attribution. CoRR abs/2012.11403 (2020)
2010 – 2019
- 2019
- [c14]Shweta Singh, Saheb Chhabra, Garima Gupta, Monika Gupta, Gaurav Gupta:
Quick Response Encoding of Human Facial Images for Identity Fraud Detection. IFIP Int. Conf. Digital Forensics 2019: 185-199 - [c13]Garima Gupta, Vishal Sunder, Ranjitha Prasad, Gautam Shroff:
CRESA: A Deep Learning Approach to Competing Risks, Recurrent Event Survival Analysis. PAKDD (2) 2019: 108-122 - [i5]Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff:
MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population. CoRR abs/1912.03960 (2019) - 2018
- [j4]Farhana Aleen, Vyacheslav P. Zakharin, Rakesh Krishnaiyer, Garima Gupta, David Kreitzer, Chang-Sun Lin Jr.:
Automated Compiler Optimization of Multiple Vector Loads/Stores. Int. J. Parallel Program. 46(2): 471-503 (2018) - [j3]Vivekanand Jha, Shekhar Verma, Nupur Prakash, Garima Gupta:
Corona Based Optimal Node Deployment Distribution in Wireless Sensor Networks. Wirel. Pers. Commun. 102(1): 325-354 (2018) - [c12]Karamjit Singh, Garima Gupta, Vartika Tewari, Gautam Shroff:
Comparative benchmarking of causal discovery algorithms. COMAD/CODS 2018: 46-56 - [c11]Jijnasa Nayak, Shweta Singh, Saheb Chhabra, Gaurav Gupta, Monika Gupta, Garima Gupta:
Detecting Data Leakage from Hard Copy Documents. IFIP Int. Conf. Digital Forensics 2018: 111-124 - [c10]Gunjan Sehgal, Mrinal Rawat, Bindu Gupta, Garima Gupta, Geetika Sharma, Gautam Shroff:
Visual Predictive Analytics using iFuseML. EuroVA@EuroVis 2018: 13-17 - 2017
- [j2]Garima Gupta, S. Kulasekaran, Keerthi Ram, Niranjan Joshi, Mohanasankar Sivaprakasam, Rashmin Gandhi:
Local characterization of neovascularization and identification of proliferative diabetic retinopathy in retinal fundus images. Comput. Medical Imaging Graph. 55: 124-132 (2017) - [c9]Aashi Jain, Divya Gupta, Garima Gupta, Swati Aggarwal:
Applications of computing with words in medicine: Promises and potential. FUZZ-IEEE 2017: 1-6 - [c8]Saheb Chhabra, Garima Gupta, Monika Gupta, Gaurav Gupta:
Detecting Fraudulent Bank Checks. IFIP Int. Conf. Digital Forensics 2017: 245-266 - [c7]Karamjit Singh, Garima Gupta, Gautam Shroff, Puneet Agarwal:
Automated Product-Attribute Mapping. PAKDD (Workshops) 2017: 163-175 - [i4]Karamjit Singh, Garima Gupta, Lovekesh Vig, Gautam Shroff, Puneet Agarwal:
Deep Convolutional Neural Networks for Pairwise Causality. CoRR abs/1701.00597 (2017) - [i3]Karamjit Singh, Garima Gupta, Gautam Shroff, Puneet Agarwal:
Minimally-Supervised Attribute Fusion for Data Lakes. CoRR abs/1701.01094 (2017) - [i2]Karamjit Singh, Garima Gupta, Vartika Tewari, Gautam Shroff:
Comparative Benchmarking of Causal Discovery Techniques. CoRR abs/1708.06246 (2017) - 2016
- [c6]Farhana Aleen, Vyacheslav P. Zakharin, Rakesh Krishnaiyer, Garima Gupta, David Kreitzer, Chang-Sun Lin Jr.:
Automated compiler optimization of multiple vector loads/stores. Conf. Computing Frontiers 2016: 82-91 - [c5]Karamjit Singh, Kaushal Paneri, Aditeya Pandey, Garima Gupta, Geetika Sharma, Puneet Agarwal, Gautam Shroff:
Visual Bayesian fusion to navigate a data lake. FUSION 2016: 987-994 - 2015
- [c4]Garima Gupta, Selvaraj Kulasekaran, Keerthi Ram, Niranjan Joshi, Mohanasankar Sivaprakasam, Rashmin Gandhi:
Computer-assisted identification of proliferative diabetic retinopathy in color retinal images. EMBC 2015: 5642-5645 - 2014
- [i1]Shubhanjali Sharma, Garima Gupta, P. R. Laxmi:
A Survey on Cloud Security Issues and Techniques. CoRR abs/1403.5627 (2014) - 2012
- [c3]Garima Gupta, Preeti Nagrath, Sandhya Aneja, Neelima Gupta:
Reference based approach to mitigate blackhole attacks in delay tolerant networks. Q2SWinet 2012: 85-88
2000 – 2009
- 2008
- [j1]Angela C. Sodan, Garima Gupta, Lin Han, Lun Liu, Benjamin J. Lafreniere:
Time and space adaptation for computational grids with the ATOP-Grid middleware. Future Gener. Comput. Syst. 24(6): 561-581 (2008) - 2006
- [c2]Angela C. Sodan, Garima Gupta:
Time vs. space adaptation with ATOP-grid. ARM@Middleware 2006: 6 - 2005
- [c1]Garima Batra, Naveen Garg, Garima Gupta:
Heuristic Improvements for Computing Maximum Multicommodity Flow and Minimum Multicut. ESA 2005: 35-46
Coauthor Index
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