10 citations · 15 across the 5 of their papers we have counts for
5 papers
Autonomous Cross Domain Adaptation under Extreme Label Scarcity
Weiwei Weng, Mahardhika Pratama, Choiru Za'in +4
A cross domain multistream classification is a challenging problem calling for fast domain adaptations to handle different but related streams in never-ending and rapidly changing…
Scalable Teacher Forcing Network for Semi-Supervised Large Scale Data Streams
Mahardhika Pratama, Choiru Za'in, Edwin Lughofer +2
The large-scale data stream problem refers to high-speed information flow which cannot be processed in scalable manner under a traditional computing platform. This problem also imp…
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples
Mahardhika Pratama, Choiru Za'in, Andri Ashfahani +2
Autonomous construction of deep neural network (DNNs) is desired for data streams because it potentially offers two advantages: proper model's capacity and quick reaction to drift…
Evolving Large-Scale Data Stream Analytics based on Scalable PANFIS
Mahardhika Pratama, Choiru Za'in, Eric Pardede
Many distributed machine learning frameworks have recently been built to speed up the large-scale data learning process. However, most distributed machine learning used in these fr…
Big Data Analytic based on Scalable PANFIS for RFID Localization
Choiru Za'in, Mahardhika Pratama, Andri Ashfahani +2
RFID technology has gained popularity to address localization problem in the manufacturing shopfloor due to its affordability and easiness in deployment. This technology is used to…