Lossy Predictive Models for Accurate Classification Algorithms-Reference-Cited by-同舟云学术

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Lossy Predictive Models for Accurate Classification Algorithms

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Big Data (Big Data)
language:
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Author:

Moon Aekyeung¹,Son Seung Woo²,Kim Hyson¹,Kim Minjun³

Affiliation:

1. ETRI

2. University of Massachusetts Lowell

3. Andong National University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020381.pdf?arnumber=10020381

Reference24 articles.

1. Study on the Estimation of Frost Occurrence Classification Using Machine Learning Methods;kim;Korean Journal of Agricultural and Forest Meteorology,2017

2. Scikit-learn: Machine learning in Python;pedregosa;Journal of Machine Learning Research,2011

3. Prediction of Frost Occurrences Using Statistical Modeling Approaches

4. SMOTE: Synthetic Minority Over-sampling Technique

5. Signal Characteristics on Sensor Data Compression in IoT – An Investigation;bose;13th Annual IEEE International Conference on Sensing Communication and Networking (SECON),2016

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploration Of Lossy Posture Classification Model Using In-Bed Flexible Pressure Sensors;2023 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS);2023-07-09

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