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Publication Date2022-11
A Systematic Mapping Study and Empirical Comparison of Data-Driven Intrusion Detection Techniques in Industrial Control Networks
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, v.29, no.7, pp.5353 - 5380
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Publication Date2022-08
An improved semantic segmentation with region proposal network for cardiac defect interpretation
Neural Computing and Applications, v.34, no.16, pp.13937 - 13950
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Publication Date2022-06
Revisiting Gradient Boosting-Based Approaches for Learning Imbalanced Data: A Case of Anomaly Detection on Power Grids
Big Data and Cognitive Computing, v.6, no.2
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Publication Date2022-04
An EfficientNet-Based Weighted Ensemble Model for Industrial Machine Malfunction Detection Using Acoustic Signals
IEEE ACCESS, v.10, pp.34625 - 34636
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Publication Date2021-12-01
Exploring ensemble-based class imbalance learners for intrusion detection in industrial control networks
Big Data and Cognitive Computing, v.5, no.4, pp.1 - 11
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Publication Date2021-12-01
Comments on “Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection”
Expert Systems with Applications, v.184
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Publication Date2021-11
A Stacking-Based Deep Neural Network Approach for Effective Network Anomaly Detection
CMC-COMPUTERS MATERIALS & CONTINUA, v.66, no.2, pp.2217 - 2227
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Publication Date2021-02
Ensemble learning for intrusion detection systems: A systematic mapping study and cross-benchmark evaluation
COMPUTER SCIENCE REVIEW, v.39
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Publication Date2020-11
An Empirical Investigation of Different Classifiers, Encoding, and Ensemble Schemes for Next Event Prediction Using Business Process Event Logs
ACM Transactions on Intelligent Systems and Technology, v.11, no.6, pp.1 - 34
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