Deepak Bhatt

Orcid: 0000-0003-3694-1315

According to our database1, Deepak Bhatt authored at least 13 papers between 2012 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Practical Bias Mitigation through Proxy Sensitive Attribute Label Generation.
CoRR, 2023

GroupMixNorm Layer for Learning Fair Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Improving the Robustness of Financial Models through Identification of the Minimal Vulnerable Feature Set.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

2022
Adversarial Fraud Generation for Improved Detection.
Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

2021
Transitioning from Real to Synthetic data: Quantifying the bias in model.
CoRR, 2021

2020
Limitations and Applicability of GANs in Banking Domain.
Proceedings of the Workshop on Applied Deep Generative Networks co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

2017
A novel approach towards utilizing Dempster Shafer fusion theory to enhance WiFi positioning system accuracy.
Pervasive Mob. Comput., 2017

2015
A novel hybrid approach utilizing principal component regression and random forest regression to bridge the period of GPS outages.
Neurocomputing, 2015

2014
A novel hybrid fusion algorithm to bridge the period of GPS outages using low-cost INS.
Expert Syst. Appl., 2014

Walking artifacts mitigation for improved heading estimation in a reduced multi-sensor configuration.
Proceedings of the 2014 IEEE International Conference on Advanced Networks and Telecommuncations Systems, 2014

2013
Dempster Shafer neural network algorithm for land vehicle navigation application.
Inf. Sci., 2013

A low-cost INS/GPS integration methodology based on random forest regression.
Expert Syst. Appl., 2013

2012
An Enhanced MEMS Error Modeling Approach Based on Nu-Support Vector Regression.
Sensors, 2012


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