Pranay Lohia
Pranay Lohia
Advisory Research Engineer, IBM Research AI
Verified email at in.ibm.com
Title
Cited by
Cited by
Year
AI Fairness 360: An extensible toolkit for detecting, understanding, and mitigating unwanted algorithmic bias
RKE Bellamy, K Dey, M Hind, SC Hoffman, S Houde, K Kannan, P Lohia, ...
arXiv preprint arXiv:1810.01943, 2018
411*2018
Black box fairness testing of machine learning models
A Aggarwal, P Lohia, S Nagar, K Dey, D Saha
Proceedings of the 2019 27th ACM Joint Meeting on European Software …, 2019
51*2019
Bias Mitigation Post-processing for Individual and Group Fairness
KR Varshney, KN Ramamurthy, D Saha, PK Lohia, M Bhide, R Puri
37*2019
Think your artificial intelligence software is fair? Think again
RKE Bellamy, K Dey, M Hind, SC Hoffman, S Houde, K Kannan, P Lohia, ...
IEEE Software 36 (4), 76-80, 2019
172019
Ownership preserving AI Market Places using Blockchain
N Sony, K Kannan, V Arya, S Hans, A Singh, P Lohia, S Mehta
2nd IEEE International Conference on Blockchain (Blockchain-2019), 2019
102019
Datavizard: Recommending visual presentations for structured data
R Ananthanarayanan, PK Lohia, S Bedathur
Proceedings of the 21st International Workshop on the Web and Databases, 1-6, 2018
82018
Tooling framework for instantiating natural language querying system
M Jammi, J Sen, AR Mittal, S Verma, V Pahuja, R Ananthanarayanan, ...
72018
Provenance in context of Hadoop as a Service (HaaS)-State of the Art and Research Directions
H Gupta, S Mehta, S Hans, B Chatterjee, P Lohia, C Rajmohan
2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 680-683, 2017
22017
On efficiently processing workflow provenance queries in spark
C Rajmohan, P Lohia, H Gupta, S Brahma, M Hernandez, S Mehta
2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019
12019
Video analysis of “YouTube funnies” to aid the study of human gait and falls-preliminary results and proof of concept
B Taati, P Lohia, A Mansfield, AB Ashraf
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
12017
Explaining accuracy drift in production data
MA Bhide, PK Lohia, D Saha, M Katari
US Patent App. 16/813,512, 2021
2021
Artificial intelligence certification of factsheets using blockchain
K Kannan, PK Lohia, S Hoffman, KR Varshney, S Mehta
US Patent App. 16/795,455, 2021
2021
Generating explanations for context aware sequence-to-sequence models
RA Reddy, PK Lohia, SZH Shaikh, D Saha, S Mehta
US Patent App. 16/783,534, 2021
2021
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets
N Gupta, H Patel, S Afzal, N Panwar, RS Mittal, S Guttula, A Jain, ...
arXiv preprint arXiv:2108.05935, 2021
2021
Determining Data Representative of Bias Within a Model
PK Lohia, D Saha, MA Bhide, S Mehta
US Patent App. 16/690,686, 2021
2021
Determining Model-Related Bias Associated with Training Data
PK Lohia, D Saha, MA Bhide, S Mehta
US Patent App. 16/690,738, 2021
2021
Trustworthiness of artificial intelligence models in presence of anomalous data
PK Lohia, D Saha, A Aggarwal, G Singh, R Ananthanarayanan, ...
US Patent App. 16/694,484, 2021
2021
Automated test case generation for deep neural networks and other model-based artificial intelligence systems
D Saha, A Aggarwal, P Lohia, K Dey
US Patent App. 17/134,677, 2021
2021
Domain aware explainable anomaly and drift detection for multi-variate raw data using a constraint repository
S Hans, SZH Shaikh, R Ananthanarayanan, D Saha, A Aggarwal, G Singh, ...
US Patent App. 16/585,664, 2021
2021
Automated test case generation for deep neural networks and other model-based artificial intelligence systems
D Saha, A Aggarwal, P Lohia, K Dey
US Patent 10,956,310, 2021
2021
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