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The Random Forest Based Detection of Shadowsock's Traffic PROCEEDINGS ARTICLE published August 2017 in 2017 9th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) |
Traffic Incident Detection Based on Rough Sets Approach PROCEEDINGS ARTICLE published 2007 in 2007 International Conference on Machine Learning and Cybernetics |
ADASYN−Random Forest Based Intrusion Detection Model PROCEEDINGS ARTICLE published 18 August 2021 in 2021 4th International Conference on Signal Processing and Machine Learning |
Intrusion Detection Classification Based on Random Forest JOURNAL ARTICLE published 10 September 2022 in Machine Learning Theory and Practice |
Fuzzy-logic-based traffic incident detection algorithm for freeway PROCEEDINGS ARTICLE published July 2008 in 2008 International Conference on Machine Learning and Cybernetics |
Identifying the top determinants of psychological resilience among community older adults during COVID-19 in Taiwan: A random forest approach JOURNAL ARTICLE published December 2023 in Machine Learning with Applications Research funded by National Cheng Kung University (D110-U0001,D112-U0001) |
Analysis of network traffic features for anomaly detection JOURNAL ARTICLE published October 2015 in Machine Learning |
Fast Pedestrian Detection by Cascaded Random Forest with Dominant Orientation Templates PROCEEDINGS ARTICLE published 2012 in Procedings of the British Machine Vision Conference 2012 |
Intelligent intrusion Detection of computer networks using Random Forest Algorithm JOURNAL ARTICLE published 30 December 2019 in Transactions on Machine Intelligence |
Water pipe condition assessment: a hierarchical beta process approach for sparse incident data JOURNAL ARTICLE published April 2014 in Machine Learning |
Illuminant classification based on random forest PROCEEDINGS ARTICLE published May 2015 in 2015 14th IAPR International Conference on Machine Vision Applications (MVA) |
A physics-based predictive model for pulse design to realize high-performance memristive neural networks JOURNAL ARTICLE published 1 December 2023 in APL Machine Learning Research funded by National Key Research and Development Program of China (2022YFB3807603) | National Natural Science Foundation of China (92163210,52172143) | Science and Technology Projects in Guangzhou (202201000008,SL2022A04J00031) |
Encrypted Malware Traffic Detection Using TLS Features and Random Forest BOOK CHAPTER published 2021 in Computational and Experimental Simulations in Engineering |
An Anomalous Traffic Detection System of the Controlled Network Based-on the Communication Rules PROCEEDINGS ARTICLE published May 2015 in Industrial Engineering, Machine Design and Automation (IEMDA 2014) & Computer Science and Application (CCSA 2014) |
A Real-Time Anomalies Detection System Based on Streaming Technology PROCEEDINGS ARTICLE published August 2014 in 2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics |
ANDROID MALWARE DETECTION BASED ON MACHINE LEARNING ANALYSIS OF TRAFFIC FEATURES JOURNAL ARTICLE published 10 July 2017 in International Journal of Applied Mathematics and Machine Learning |
GIS-Based Analysis of Changing Surface Water in Rajshahi City Corporation Area Using Support Vector Machine (SVM), Decision Tree & Random Forest Technique JOURNAL ARTICLE published 2018 in Machine Learning Research |
Chinese chunking algorithm based on conditional random fields PROCEEDINGS ARTICLE published July 2008 in 2008 International Conference on Machine Learning and Cybernetics |
Computerized design, simulation of meshing, and stress analysis of curvilinear cylindrical gears based on the active design of the meshing line function JOURNAL ARTICLE published October 2023 in Mechanism and Machine Theory |
A Feature-Partition and Under-Sampling Based Ensemble Classifier for Web Spam Detection JOURNAL ARTICLE published December 2015 in International Journal of Machine Learning and Computing |