Prediction of enzyme function using an interpretable optimized ensemble learning framework
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DOI: 10.1039/d5sc04513d
Abstract: Accurate prediction of enzyme function, particularly for newly discovered uncharacterized sequences, is immensely important for modern biology research. Recently machine learning (ML) based methods have shown promises. However, such tools often suffer from complexity in… read more here.
Keywords: optimized ensemble; enzyme function; biology; prediction ... See more keywords
Optimized Ensemble Deep Learning for Real-Time Intrusion Detection on Resource-Constrained Raspberry Pi Devices
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DOI: 10.1109/access.2025.3584373
Abstract: The rapid growth of Internet of Things (IoT) networks has increased security risks, making it essential to have effective Intrusion Detection Systems (IDS) for real-time threat detection. Deep learning techniques offer promising solutions for such… read more here.
Keywords: detection; deep learning; optimized ensemble; real time ... See more keywords
A Novel Method for Creating an Optimized Ensemble Classifier by Introducing Cluster Size Reduction and Diversity
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.3025173
Abstract: In this paper, a new method is proposed for creating an optimized ensemble classifier. The proposed method mitigates the issue of class imbalances by partitioning the input data into its various data classes. The partitions… read more here.
Keywords: optimized ensemble; classifier; ensemble classifier; creating optimized ... See more keywords