Improving the Accuracy of Convolutional Neural Networks by Identifying and Removing Outlier Images in Datasets Using t-SNE

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks

(2019) Husein Perez et al.   SENSORS

There and back again: Outlier detection between statistical reasoning and data mining algorithms

(2018) Arthur Zimek et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Sequential dimensionality reduction for extracting localized features

(2017) Gabriella Casalino et al.   PATTERN RECOGNITION

Machine learning-based imaging system for surface defect inspection

(2016) Je-Kang Park et al.   International Journal of Precision Engineering and Manufacturing-Green Technology

Outlier-robust extreme learning machine for regression problems

(2015) Kai Zhang et al.   NEUROCOMPUTING

Advances in natural language processing

(2015) J. Hirschberg et al.   SCIENCE

Machine learning, medical diagnosis, and biomedical engineering research - commentary

(2014) Kenneth R Foster et al.   Biomedical Engineering Online

Machine Learning Paradigms for Speech Recognition: An Overview

(2013) Li Deng et al.   IEEE Transactions on Audio Speech and Language Processing

Automatic Defect Detection on Hot-Rolled Flat Steel Products

(2012) Santanu Ghorai et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Automatic Road Defect Detection by Textural Pattern Recognition Based on AdaBoost

(2011) Aurélien Cord et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Identifying mislabeled training data with the aid of unlabeled data

(2010) Donghai Guan et al.   APPLIED INTELLIGENCE

Crack Shape Reconstruction in Eddy Current Testing Using Machine Learning Systems for Regression

(2008) A. Bernieri et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Computational thinking and thinking about computing

(2008) J. M Wing   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES