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Chapter and Conference Paper
E-NEST Remote Learning Transition in STEM Education
This research analyzes how remote learning models are utilized in STEM Education. The E-NEST project developed online teaching models to instruct teaching interns during the unprecedented times of the coronavi...
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Chapter and Conference Paper
Ensemble Noise Filtering for Streaming Data Using Poisson Bootstrap Model Filtering
Ensemble filtering techniques filter noisy instances by combining the predictions of multiple base models, each of which is learned using a traditional algorithm. However, in the last decade, due to the massiv...
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Chapter and Conference Paper
A Dynamic Adaptive Sampling Algorithm (DASA) for Real World Applications: Finger Print Recognition and Face Recognition
In many real world problems, data mining algorithms have access to massive amounts of data (defense and security). Mining all the available data is prohibitive due to computational (time and memory) constraint...