Benjamin Christian Dutton

College of Engineering

Works (2)

Updated: July 5th, 2023 15:30

2021 article

Local Clustering with Mean Teacher for Semi-supervised learning

2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), pp. 6243–6250.

By: Z. Chen n, B. Dutton n, B. Ramachandra n, T. Wu n  & R. Vatsavai n 

topics (OpenAlex): Machine Learning and Data Classification; Domain Adaptation and Few-Shot Learning; Anomaly Detection Techniques and Applications
TL;DR: This work proposes a simple yet effective method called Local Clustering (LC) to mitigate the effect of confirmation bias in the Mean Teacher model and demonstrates on semi-supervised benchmark datasets SVHN and CIFAR-10 that adding the LC loss to MT yields significant improvements compared to MT and performance comparable to the state of the art in semi- supervised learning. (via Semantic Scholar)
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4. Quality Education (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 30, 2021

2019 journal article

Anomalous cluster detection in spatiotemporal meteorological fields

STATISTICAL ANALYSIS AND DATA MINING, 12(2), 88–100.

By: B. Ramachandra n, B. Dutton n & R. Vatsavai n 

author keywords: anomaly detection; clustering; spatiotemporal data mining
topics (OpenAlex): Anomaly Detection Techniques and Applications; Hydrology and Drought Analysis; Data-Driven Disease Surveillance
TL;DR: This paper develops a method for extreme event detection in meteorological datasets that follows from well known distribution‐based anomaly detection approaches and generalizes the Mahalanobis distance across distributions of different dimensionalities. (via Semantic Scholar)
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UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: April 9, 2019

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