One-class classification: taxonomy of study and review of techniques
One-class classification (OCC) algorithms aim to build classification models when the
negative class is either absent, poorly sampled or not well defined. This unique situation …
negative class is either absent, poorly sampled or not well defined. This unique situation …
LS-SVM based spectral clustering and regression for predicting maintenance of industrial machines
Accurate prediction of forthcoming faults in modern industrial machines plays a key role in
reducing production arrest, increasing the safety of plant operations, and optimizing …
reducing production arrest, increasing the safety of plant operations, and optimizing …
[PDF][PDF] Automatic control and machine learning for semiconductor manufacturing: Review and challenges
GA Susto, S Pampuri, A Schirru… - Proceedings of the …, 2012 - eprints.nuim.ie
Semiconductor manufacturing is one of the most technologically advanced industrial
sectors. Process quality and control are critical for decreasing costs and increasing yield …
sectors. Process quality and control are critical for decreasing costs and increasing yield …
Using semi-supervised classifiers for credit scoring
In credit scoring, low-default portfolios (LDPs) are those for which very little default history
exists. This makes it problematic for financial institutions to estimate a reliable probability of …
exists. This makes it problematic for financial institutions to estimate a reliable probability of …
Estimation and control in semiconductor etch: Practice and possibilities
Semiconductor wafer etching is, to a large extent, an open-loop process with little direct
feedback control. Most silicon chip manufacturers rely on the rigorous adherence to a …
feedback control. Most silicon chip manufacturers rely on the rigorous adherence to a …
Steady-state process fault detection for liquid rocket engines based on convolutional auto-encoder and one-class support vector machine
X Zhu, Y Cheng, J Wu, R Hu, X Cui - Ieee Access, 2019 - ieeexplore.ieee.org
Liquid rocket engines (LREs) are the main propulsive devices of launch vehicles. Due to the
complex structures and extreme working environments, LREs are also the components …
complex structures and extreme working environments, LREs are also the components …
Credit scoring using machine learning
K Kennedy - 2013 - arrow.tudublin.ie
For financial institutions and the economy at large, the role of credit scoring in lending
decisions cannot be overemphasised. An accurate and well-performing credit scorecard …
decisions cannot be overemphasised. An accurate and well-performing credit scorecard …
Physics-prior Bayesian neural networks in semiconductor processing
With the fast scaling-down and evolution of integrated circuit (IC) manufacturing technology,
the fabrication process becomes highly complex, and the experimental cost of the processes …
the fabrication process becomes highly complex, and the experimental cost of the processes …
A hybrid novelty score and its use in keystroke dynamics-based user authentication
The purpose of novelty detection is to detect (novel) patterns that are not generated by the
identical distribution of the normal class. A distance-based novelty detector classifies a new …
identical distribution of the normal class. A distance-based novelty detector classifies a new …
Virtual metrology for plasma etch processes.
S Lynn - 2011 - mural.maynoothuniversity.ie
Plasma processes can present dicult control challenges due to time-varying dynamics and a
lack of relevant and/or regular measurements. Virtual metrology (VM) is the use of …
lack of relevant and/or regular measurements. Virtual metrology (VM) is the use of …