Data Quality Metrics for Unlabelled Datasets-Reference-Cited by-同舟云学术

Data Quality Metrics for Unlabelled Datasets

Published:2022-11-15 Issue: Volume: Page:
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Container-title:2022 IEEE 4th International Conference on BioInspired Processing (BIP)
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Author:

Diaz Catalina¹,Calderon-Ramirez Saul¹,Aguilar Luis Diego Mora²

Affiliation:

1. Tecnológico de Costa Rica,San José,Costa Rica

2. Tecnológico de Costa Rica,Cartago,Costa Rica

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10032306/10032467/10032475.pdf?arnumber=10032475

Reference25 articles.

1. Using cluster analysis to assess the impact of dataset heterogeneity on deep convolutional network accuracy: A first glance;méndez,2019

2. A selection metric for semi-supervised learning based on neighborhood construction;tanha;Information Processing and Management,2020

3. Mixmood: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures;calderón ramírez,2020

4. A survey on semi-supervised learning;van engelen;2018 International Conference on Applied Smart Systems (ICASS),2019

5. Data quality considerations for big data and machine learning: Going beyond data cleaning and transformations;gudivada;International Journal On Advances in Software,2017

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