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03/29/2022
Evolving Multi-Label Fuzzy Classifier
Multi-label classification has attracted much attention in the machine l...
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06/28/2021
Unsupervised Continual Learning via Self-Adaptive Deep Clustering Approach
Unsupervised continual learning remains a relatively uncharted territory...
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06/26/2021
Autonomous Deep Quality Monitoring in Streaming Environments
The common practice of quality monitoring in industry relies on manual i...
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06/26/2021
Scalable Teacher Forcing Network for Semi-Supervised Large Scale Data Streams
The large-scale data stream problem refers to high-speed information flo...
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10/08/2019
DEVDAN: Deep Evolving Denoising Autoencoder
The Denoising Autoencoder (DAE) enhances the flexibility of the data str...
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10/08/2019
ATL: Autonomous Knowledge Transfer from Many Streaming Processes
Transferring knowledge across many streaming processes remains an unchar...
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11/09/2018
PAC: A Novel Self-Adaptive Neuro-Fuzzy Controller for Micro Aerial Vehicles
There exists an increasing demand of a flexible and computationally effi...
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09/24/2018
Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams
The generative learning phase of Autoencoder (AE) and its successor Deno...
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05/20/2018
An Online RFID Localization in the Manufacturing Shopfloor
Radio Frequency Identification technology has gained popularity for chea...
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11/16/2017
Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment
A novel approach for unsupervised domain adaptation for neural networks ...
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05/06/2017
Metacognitive Learning Approach for Online Tool Condition Monitoring
As manufacturing processes become increasingly automated, so should tool...
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04/10/2017
Parsimonious Random Vector Functional Link Network for Data Streams
The theory of random vector functional link network (RVFLN) has provided...
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02/28/2017