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Generating task-specific training data
Generating training datasets specific to a downstream ML task.
Lokesh Nagalapatti, Ramasuri Narayanam, Ruhi Sharma Mittal, Sambaran Bandyopadhyay
Last updated on Aug 26, 2023
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Data Quality Assessment for Unsupervised Machine Learning
Assessing data quality metrics for Unsupervised Machine Learning.
Lokesh Nagalapatti, Ramasuri Narayanam, Ruhi Sharma Mittal, Hima Patel
Last updated on Aug 26, 2023
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Machine-learning model retraining detection
Detecting when to retrain a model based on drift.
Lokesh Nagalapatti, Ruhi Sharma Mittal, Nitin Gupta, Hima Patel
Last updated on Dec 5, 2022
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Quality assessment of machine-learning model dataset
Assessing data quality metrics for Machine Learning.
Hima Patel, Lokesh Nagalapatt, Naveen Panwar, Nitin Gupta, Ruhi Sharma Mittal, Sameep Mehta, Shanmukha Chaitanya Guttula, Shazia Afzal
Last updated on Dec 5, 2022
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Federated machine learning based on partially secured spatio-temporal data
Federated Learning for spatio-temporal datasets.
Lokesh Nagalapatti, Ramasuri Narayanam, Ruhi Sharma Mittal, Sambaran Bandyopadhyay
Last updated on Aug 26, 2023
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Training sample set generation from imbalanced data in view of user goals
Training dataset generation curtailed to user metrics.
Lokesh Nagalapatti, Ruhi Sharma Mittal, Hima Patel, Nitin Gupta
Last updated on Aug 26, 2023
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Federated Learning Data Source selection
Selecting the appropriate task specific data sources in Federated Learning.
Lokesh Nagalapatti, Ruhi Sharma Mittal, Ramasuri Narayanam, Sameep Mehta
Last updated on Aug 26, 2023
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Automatically detecting outliers in federated data
Detecting outlier samples in Federated Learning.
Lokesh Nagalapatti, Ramasuri Narayanam, Ruhi Sharma Mittal, Sambaran Bandyopadhyay
Last updated on Aug 26, 2023
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