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
Chen, Z., Dutton, B., Ramachandra, B., Wu, T., & Vatsavai, R. R. (2021, January 10). 2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR).
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)
open access via arxiv.org (repository)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
4. Quality Education
(OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 30, 2021
2018 article
Anomalous cluster detection in spatiotemporal meteorological fields
Ramachandra, B., Dutton, B., & Vatsavai, R. R. (2018, December 26). Statistical Analysis and Data Mining The ASA Data Science Journal, Vol. 12, pp. 88–100.
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)
UN Sustainable Development Goal Categories
13. Climate Action
(OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: April 9, 2019