GAMPALv2: An Anomaly Detection Mechanism for Internet Traffic by Predicting Flow Size Range from Time Features Taku WAKUIFumio TERAOKATakao KONDO
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2025/06/01 Vol. E108-DNo. 6 ;
pp. 505-516 Type of Manuscript: Special Section PAPER (Special Section on the Architectures, Protocols, and Applications for the Future Internet) Category: Keyword: network traffic analysis, internet backbone, random forest, prefix aggregate,
Hardware-Trojan Detection Based on the Structural Features of Trojan Circuits Using Random Forests Tatsuki KURIHARANozomu TOGAWA
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2022/07/01 Vol. E105-ANo. 7 ;
pp. 1049-1060 Type of Manuscript: PAPER Category: VLSI Design Technology and CAD Keyword: hardware Trojan, trigger circuit, gate-level netlist, machine learning, random forest,
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2018/08/01 Vol. E101-DNo. 8 ;
pp. 2082-2091 Type of Manuscript: PAPER Category: Pattern Recognition Keyword: ECG, random forest, wavelet transform,
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2018/02/01 Vol. E101-DNo. 2 ;
pp. 354-362 Type of Manuscript: Special Section PAPER (Special Section on Reconfigurable Systems) Category: Emerging Applications Keyword: machine learning, random forest, k-means clustering, FPGA,
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2017/12/01 Vol. E100-ANo. 12 ;
pp. 2857-2868 Type of Manuscript: Special Section PAPER (Special Section on VLSI Design and CAD Algorithms) Category: Keyword: hardware Trojan, gate-level netlist, Trojan-net feature, random forest, machine learning,
Robust Face Alignment with Random Forest: Analysis of Initialization, Landmarks Regression, and Shape Regularization Methods Chun Fui LIEWTakehisa YAIRI
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2013/03/01 Vol. E96-DNo. 3 ;
pp. 739-741 Type of Manuscript: LETTER Category: Artificial Intelligence, Data Mining Keyword: random forest, multiclass classification, specific random trees,