A Theoretical Framework for AI-driven data quality monitoring in
high-volume data environments

A Theoretical Framework for AI-driven data quality monitoring in high-volume data environments

11 October 2024

Vivekananda Jayaram

Manjunatha Sughaturu Krishnappa

Amey Ram Banarse

Darshan Mohan Bidkar

Vidyasagar Parlapalli

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Papers citing "A Theoretical Framework for AI-driven data quality monitoring in high-volume data environments"

12 / 12 papers shown

Title
Attention is not not Explanation Sarah Wiegreffe Yuval Pinter XAI AAML FAtt 124 914 0 13 Aug 2019
GAIN: Missing Data Imputation using Generative Adversarial Nets Jinsung Yoon James Jordon M. Schaar GAN 68 1,029 0 07 Jun 2018
Deep Visual Domain Adaptation: A Survey Mei Wang Weihong Deng OOD 102 2,020 0 10 Feb 2018
Online Learning: A Comprehensive Survey Guosheng Lin Doyen Sahoo Jing Lu P. Zhao OffRL 103 649 0 08 Feb 2018
NIMA: Neural Image Assessment Hossein Talebi P. Milanfar 3DH 92 910 0 15 Sep 2017
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder CVBM 161 2,833 0 15 Jun 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,090 0 22 May 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 314 4,659 0 18 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 412 17,615 0 17 Feb 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,071 0 16 Feb 2016
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 406 33,573 0 16 Oct 2013
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 382 7,981 0 13 Jun 2012

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