113 citations · 504 across the 39 of their papers we have counts for
6 papers · 1 filter
Online Tool Condition Monitoring Based on Parsimonious Ensemble+
Mahardhika Pratama, Eric Dimla, Edwin Lughofer +2
Accurate diagnosis of tool wear in metal turning process remains an open challenge for both scientists and industrial practitioners because of inhomogeneities in workpiece material…
An Automatic Contextual Analysis and Clustering Classifiers Ensemble approach to Sentiment Analysis
Murtadha Talib AL-Sharuee, Fei Liu, Mahardhika Pratama
Products reviews are one of the major resources to determine the public sentiment. The existing literature on reviews sentiment analysis mainly utilizes supervised paradigm, which…
Metacognitive Learning Approach for Online Tool Condition Monitoring
Mahardhika Pratama, Eric Dimla, Chow Yin Lai +1
As manufacturing processes become increasingly automated, so should tool condition monitoring (TCM) as it is impractical to have human workers monitor the state of the tools contin…
PANFIS++: A Generalized Approach to Evolving Learning
Mahardhika Pratama
The concept of evolving intelligent system (EIS) provides an effective avenue for data stream mining because it is capable of coping with two prominent issues: online learning and…
Parsimonious Random Vector Functional Link Network for Data Streams
Mahardhika Pratama, Plamen P. Angelov, Edwin Lughofer
The theory of random vector functional link network (RVFLN) has provided a breakthrough in the design of neural networks (NNs) since it conveys solid theoretical justification of r…
Evolving Ensemble Fuzzy Classifier
Mahardhika Pratama, Witold Pedrycz, Edwin Lughofer
The concept of ensemble learning offers a promising avenue in learning from data streams under complex environments because it addresses the bias and variance dilemma better than i…