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ORCIDPranay Lohia
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2020 – today
- 2024
[c12]Pranay Lohia, Laurent Boué, Sharath Ranganath, Vijay Agneeswaran:
High Significant Fault Detection in Azure Core Workload Insights. AAAI 2024: 22779-22787- [c11]Pranay Lohia, Badri Narayana Patro, Naveen Panwar, Vijay Agneeswaran:
SPASE: Spatial Saliency Explanation For Time Series Models. ICASSP 2024: 5180-5184 - [i11]Pranay Lohia, Laurent Boué, Sharath Kumar Rangappa, Vijay Agneeswaran:
High Significant Fault Detection in Azure Core Workload Insights. CoRR abs/2404.09302 (2024) - 2022
- [c10]Wonyoung So
, Pranay Lohia, Rakesh Pimplikar, Anette E. Hosoi, Catherine D'Ignazio:
Beyond Fairness: Reparative Algorithms to Address Historical Injustices of Housing Discrimination in the US. FAccT 2022: 988-1004 - [i10]Pranay Lohia:
Counterfactual Multi-Token Fairness in Text Classification. CoRR abs/2202.03792 (2022) - 2021
- [i9]Pranay Lohia:
Priority-based Post-Processing Bias Mitigation for Individual and Group Fairness. CoRR abs/2102.00417 (2021) - [i8]Nitin Gupta, Hima Patel, Shazia Afzal, Naveen Panwar, Ruhi Sharma Mittal, Shanmukha C. Guttula, Abhinav Jain, Lokesh Nagalapatti, Sameep Mehta, Sandeep Hans, Pranay Lohia, Aniya Aggarwal, Diptikalyan Saha:
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets. CoRR abs/2108.05935 (2021) - 2020
- [c9]Pranay Lohia, Kalapriya Kannan, Karan Rai, Srikanta Bedathur:
Ranking Marginal Influencers in a Target-labeled Network. COMAD/CODS 2020: 254-260 - [i7]Nishant Baranwal Somy, Kalapriya Kannan, Vijay Arya, Sandeep Hans, Abhishek Singh, Pranay Lohia, Sameep Mehta:
Ownership preserving AI Market Places using Blockchain. CoRR abs/2001.09011 (2020)
2010 – 2019
- 2019
- [j3]Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang:
AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias. IBM J. Res. Dev. 63(4/5): 4:1-4:15 (2019) - [j2]Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang:
Think Your Artificial Intelligence Software Is Fair? Think Again. IEEE Softw. 36(4): 76-80 (2019) - [c8]Nishant Baranwal Somy, Kalapriya Kannan, Vijay Arya, Sandeep Hans, Abhishek Singh, Pranay Lohia, Sameep Mehta:
Ownership Preserving AI Market Places Using Blockchain. Blockchain 2019: 156-165 - [c7]Pranay Kr. Lohia, Karthikeyan Natesan Ramamurthy, Manish Bhide, Diptikalyan Saha, Kush R. Varshney, Ruchir Puri:
Bias Mitigation Post-processing for Individual and Group Fairness. ICASSP 2019: 2847-2851 - [c6]Rajmohan C, Pranay Lohia, Himanshu Gupta, Siddhartha Brahma, Mauricio A. Hernández, Sameep Mehta:
On Efficiently Processing Workflow Provenance Queries in Spark. ICDCS 2019: 1443-1452 - [c5]Aniya Aggarwal, Pranay Lohia, Seema Nagar, Kuntal Dey, Diptikalyan Saha:
Black box fairness testing of machine learning models. ESEC/SIGSOFT FSE 2019: 625-635 - [c4]Pranay Lohia, Kalapriya Kannan, Biplav Srivastava, Sameep Mehta:
Design diagrams as ontological source. ESEC/SIGSOFT FSE 2019: 863-873 - 2018
- [j1]Manasa Jammi, Jaydeep Sen, Ashish R. Mittal, Sagar Verma, Vardaan Pahuja, Rema Ananthanarayanan, Pranay Lohia, Hima Karanam, Diptikalyan Saha, Karthik Sankaranarayanan:
Tooling Framework for Instantiating Natural Language Querying System. Proc. VLDB Endow. 11(12): 2014-2017 (2018) - [c3]Rema Ananthanarayanan, Pranay Kr. Lohia, Srikanta Bedathur:
DataVizard: Recommending Visual Presentations for Structured Data. WebDB 2018: 3:1-3:6 - [i6]Rajmohan C, Pranay Lohia, Himanshu Gupta, Siddhartha Brahma, Mauricio A. Hernández, Sameep Mehta:
Efficiently Processing Workflow Provenance Queries on SPARK. CoRR abs/1808.08424 (2018) - [i5]Aniya Aggarwal, Pranay Lohia, Seema Nagar, Kuntal Dey, Diptikalyan Saha:
Automated Test Generation to Detect Individual Discrimination in AI Models. CoRR abs/1809.03260 (2018) - [i4]Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang:
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias. CoRR abs/1810.01943 (2018) - [i3]Pranay Kr. Lohia, Karthikeyan Natesan Ramamurthy, Manish Bhide, Diptikalyan Saha, Kush R. Varshney, Ruchir Puri:
Bias Mitigation Post-processing for Individual and Group Fairness. CoRR abs/1812.06135 (2018) - 2017
- [c2]Himanshu Gupta, Sameep Mehta, Sandeep Hans, Bapi Chatterjee, Pranay Lohia, Rajmohan C:
Provenance in Context of Hadoop as a Service (HaaS) - State of the Art and Research Directions. CLOUD 2017: 680-683 - [c1]Babak Taati, Pranay Lohia, Avril Mansfield, Ahmed Bilal Ashraf:
Video analysis of "YouTube funnies" to aid the study of human gait and falls - preliminary results and proof of concept. EMBC 2017: 1178-1181 - [i2]Rema Ananthanarayanan, Pranay Kr. Lohia, Srikanta Bedathur:
DataVizard: Recommending Visual Presentations for Structured Data. CoRR abs/1711.04971 (2017) - 2016
- [i1]Babak Taati, Pranay Lohia, Avril Mansfield, Ahmed Bilal Ashraf:
Video Analysis of "YouTube Funnies" to Aid the Study of Human Gait and Falls - Preliminary Results and Proof of Concept. CoRR abs/1610.08400 (2016)
Coauthor Index
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