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20182022
most citedATL: Autonomous Knowledge Transfer from Many Streaming Processes

13 citations · 13 across the 4 of their papers we have counts for

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cs.LG2022

Evolving Multi-Label Fuzzy Classifier

Edwin Lughofer

Multi-label classification has attracted much attention in the machine learning community to address the problem of assigning single samples to more than one class at the same time…

cs.LG2021

Unsupervised Continual Learning via Self-Adaptive Deep Clustering Approach

Mahardhika Pratama, Andri Ashfahani, Edwin Lughofer

Unsupervised continual learning remains a relatively uncharted territory in the existing literature because the vast majority of existing works call for unlimited access of ground…

cs.LG2021

Autonomous Deep Quality Monitoring in Streaming Environments

Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer +1

The common practice of quality monitoring in industry relies on manual inspection well-known to be slow, error-prone and operator-dependent. This issue raises strong demand for aut…

cs.LG201913 cited

ATL: Autonomous Knowledge Transfer from Many Streaming Processes

Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie +2

Transferring knowledge across many streaming processes remains an uncharted territory in the existing literature and features unique characteristics: no labelled instance of the ta…

cs.LG2019

DEVDAN: Deep Evolving Denoising Autoencoder

Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer +1

The Denoising Autoencoder (DAE) enhances the flexibility of the data stream method in exploiting unlabeled samples. Nonetheless, the feasibility of DAE for data stream analytic des…

cs.LG2018

Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams

Mahardhika Pratama, Andri Ashfahani, Yew Soon Ong +2

The generative learning phase of Autoencoder (AE) and its successor Denosing Autoencoder (DAE) enhances the flexibility of data stream method in exploiting unlabelled samples. None…