Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Pranay Lohia"'
Publikováno v:
2022 ACM Conference on Fairness, Accountability, and Transparency.
Autor:
Samuel C. Hoffman, Kalapriya Kannan, Pranay Lohia, Kush R. Varshney, Stephanie Houde, Kuntal Dey, Moninder Singh, Diptikalyan Saha, Aleksandra Mojsilovic, John T. Richards, Sameep Mehta, Michael Hind, Yunfeng Zhang, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Seema Nagar, Rachel K. E. Bellamy
Publikováno v:
IEEE Software. 36:76-80
Today, machine-learning software is used to help make decisions that affect people's lives. Some people believe that the application of such software results in fairer decisions because, unlike humans, machine-learning software generates models that
Publikováno v:
COMAD/CODS
Using social networks for spreading marketing information is a commonly used strategy to help in quick adoption of innovations, retention of customers and for improving brand awareness. In many settings, the set of entities in the network who must be
Autor:
Kalapriya Kannan, Pranay Lohia, Nishant Baranwal Somy, Abhishek Singh, Vijay Arya, Sandeep Hans, Sameep Mehta
Publikováno v:
Blockchain
We present a blockchain based system that allows data owners, cloud vendors, and AI developers to collaboratively train machine learning models in a trustless AI marketplace. Data is a highly valued digital asset and central to deriving business insi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b98500194126dc9cf1ff4de4ef216a5
Autor:
Hima P. Karanam, Jaydeep Sen, Vardaan Pahuja, Pranay Lohia, Manasa Jammi, Diptikalyan Saha, Sagar Verma, Ashish Mittal, Karthik Sankaranarayanan, Rema Ananthanarayanan
Publikováno v:
Proceedings of the VLDB Endowment. 11:2014-2017
Recent times have seen a growing demand for natural language querying (NLQ) interfaces to retrieve information from the structured data sources such as knowledge bases. Using this interface, business users can directly interact with a database withou
Publikováno v:
ESEC/SIGSOFT FSE
beginabstract In custom software development projects, it is frequently the case that the same type of software is being built for different customers. The deliverables are similar because they address the same market (e.g., Telecom, Banking) or have
Publikováno v:
ESEC/SIGSOFT FSE
Any given AI system cannot be accepted unless its trustworthiness is proven. An important characteristic of a trustworthy AI system is the absence of algorithmic bias. 'Individual discrimination' exists when a given individual different from another
Autor:
Mauricio A. Hernández, Himanshu Gupta, Siddhartha Brahma, Pranay Lohia, Rajmohan C, Sameep Mehta
Publikováno v:
ICDCS
In this paper, we look at how we can leverage Spark platform for efficiently processing fine-grained provenance queries on large volumes of workflow provenance data. Simple recursive querying based Spark solutions involve large data scanning cost and
Publikováno v:
WebDB
Selecting the appropriate visual presentation of the data such that it preserves the semantics of the underlying data and at the same time provides an intuitive summary of the data is an important, often the final step of data analytics. Unfortunatel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92942782f54183e9a666cb466394bede
http://arxiv.org/abs/1711.04971
http://arxiv.org/abs/1711.04971
Publikováno v:
CLOUD
Hadoop as a service (HaaS), also known as Hadoop in the cloud, is a big data analytics framework that stores and analyzes data in the cloud using Hadoop/Spark. In this paper, we discuss the importance of providing provenance capabilities in context o