Suchergebnisse - "Extra Trees Algorithm"

Prediction of Frozen Food Sales Using Extra Trees Algorithm at Tjoean.Id Store

Autoren: Syauqi Khosyi Hidayat Kharisma Wiati Gusti Iin Ernawati et al.

Quelle: 2024 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS). :620-624

An Intrusion Detection Model Based on Extra Trees Algorithm with Dimensionality Reduction and Oversampling

Autoren: Yin, Li Chen, Yijun

Quelle: Journal of Computing and Information Technology, Vol 31, Iss 4, Pp 219-231 (2023)
Journal of computing and information technology
CODEN CJCTEM
Volume 31
Issue 4

Schlagwörter: Extra Trees, Random Forest, Electronic computers. Computer science, 4. Education, Intrusion detection, QA75.5-76.95

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/664a8c6e90a24ccbbf494a5b50b504e8
https://hrcak.srce.hr/file/458987
https://doi.org/10.20532/cit.2023.1005771
https://hrcak.srce.hr/317641

A Diet Recommendation System using TF-IDF and Extra Trees Algorithm

Autoren: Boudjemaa Boudaa Aissa Hammadi Kada Akermi

Quelle: Indonesian Journal of Electrical Engineering and Informatics (IJEEI). 12

AI Meta-Learners and Extra-Trees Algorithm for the Detection of Phishing Websites

Autoren: Yazan A. Alsariera Victor Elijah Adeyemo Abdullateef O. Balogun et al.

Quelle: IEEE Access, Vol 8, Pp 142532-142542 (2020)

Schlagwörter: FOS: Computer and information sciences, Artificial intelligence, extra trees, phishing, 02 engineering and technology, Phishing, Artificial intelligence (AI), Malware, Mathematical analysis, Detection and Prevention of Phishing Attacks, Cyberspace, Characterization and Detection of Android Malware, Artificial Intelligence, Computer security, Multi-label Text Classification in Machine Learning, Machine learning, Decision tree, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Data mining, cyber security, AdaBoost, Computer science, TK1-9971, Intrusion Detection, World Wide Web, phishing website detection, Computer Science, Physical Sciences, Signal Processing, Bot Detection, Tree (set theory), Security Analysis, meta – learners, Electrical engineering. Electronics. Nuclear engineering, Botnet Detection, Classifier (UML), The Internet, Mathematics, Information Systems

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09154378.pdf
https://doaj.org/article/6ecd377ab13b42b082f6c1447091d7ae
https://dblp.uni-trier.de/db/journals/access/access8.html#AlsarieraABA20
https://ieeexplore.ieee.org/document/9154378/
https://www.mendeley.com/catalogue/24050129-2944-3f32-a0c9-8052f3e09731/
http://eprints.utp.edu.my/23383/
https://doi.org/10.1109/ACCESS.2020.3013699

Suicide Rate Analysis Using Extra Trees Algorithm

Autoren: Ignisha Rajathi G Sneharajalakshmi Palanisamy Midhun Kumar V N et al.

Quelle: Kalpa Publications in Computing. 19:53-44

Schlagwörter: 1. No poverty, 3. Good health

Animal behavior detection using extra-trees algorithm and accelerometer data

Autoren: Sagnik Anupam

An Intrusion Detection Model Based on Extra Trees Algorithm with Dimensionality Reduction and Oversampling.

Autoren: Li Yin Yijun Chen

Quelle: Journal of Computing & Information Technology. Dec2023, Vol. 31 Issue 4, p219-231. 13p.

Schlagwörter: Intrusion detection systems (Computer security), Detection algorithms, Dimensional reduction algorithms, Fisher discriminant analysis, Machine learning, Alternative education

Electronic Detection of Garlic Density in Various Kinds of Yogurts Using Statistical Features

Autoren: Bilge Han Tozlu

Quelle: Volume: 12, Issue: 143-50
Hittite Journal of Science and Engineering

Schlagwörter: Garlic yogurt, odor classification, electronic nose, extra trees algorithm, Elektrik Devreleri ve Sistemleri, Electrical Circuits and Systems

Dateibeschreibung: application/pdf

Zugangs-URL: https://dergipark.org.tr/tr/pub/hjse/issue/90989/1614050

FDI attack detection using extra trees algorithm and deep learning algorithm-autoencoder in smart grid

Autoren: Seyed Hossein Majidi Shahrzad Hadayeghparast Hadis Karimipour

Quelle: International Journal of Critical Infrastructure Protection. 37:100508

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Intelligent System for Student Performance Prediction Using Machine Learning

Autoren: Mustafa S. Ibrahim Alsumaidaie Ahmed Adil Nafea Abdulrahman Abbas Mukhlif et al.

Quelle: مجلة بغداد للعلوم, Vol 21, Iss 12 (2024)

Schlagwörter: Extra Trees Algorithm, Artificial Intelligence, Science, Student Performance Prediction, Supervised Machine Learning, Educational Data Mining

Zugangs-URL: https://doaj.org/article/8e7307cac0854ae99d003d127379edb2

Rapid identification of microplastic using portable Raman system and extra trees algorithm

Autoren: Qian-Ying Liu Weiwei Feng Qian-Quan Zhang et al.

Quelle: Real-time Photonic Measurements, Data Management, and Processing V. :31

Schlagwörter: 13. Climate action, 14. Life underwater, 01 natural sciences, 6. Clean water, 0105 earth and related environmental sciences

Zugangs-URL: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11555/115550T/Rapid-identification-of-microplastic-using-portable-Raman-system-and-extra/10.1117/12.2573364.full
http://ui.adsabs.harvard.edu/abs/2020SPIE11555E..0TY/abstract

A machine learning approach to site groundwater contamination monitoring wells

Autoren: V. Gómez-Escalonilla E. Montero-González S. Díaz-Alcaide et al.

Quelle: Applied Water Science, Vol 14, Iss 12, Pp 1-19 (2024)

Schlagwörter: Aquifer, Contamination, Artificial intelligence, Machine learning, MLMapper, Extra trees algorithm, Water supply for domestic and industrial purposes, TD201-500

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2190-5487; https://doaj.org/toc/2190-5495

Zugangs-URL: https://doaj.org/article/acf77af4cefe4a7399d273a144965eec

Application of Extra-Trees Regression and Tree-Structured Parzen Estimators Optimization Algorithm to Predict Blast-Induced Mean Fragmentation Size in Open-Pit Mines

Autoren: Madalitso Mame Shuai Huang Chuanqi Li et al.

Quelle: Applied Sciences, Vol 15, Iss 15, p 8363 (2025)

Schlagwörter: rock fragmentation, extra trees algorithm, mean fragmentation size, blasting, open-pit mines, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2076-3417/15/15/8363; https://doaj.org/toc/2076-3417

Zugangs-URL: https://doaj.org/article/7bc14f05c2204432817e4864ec3e8e01

FDI attack detection using extra trees algorithm and deep learning algorithm-autoencoder in smart grid.

Autoren: Majidi, Seyed Hossein Hadayeghparast, Shahrzad Karimipour, Hadis

Quelle: International Journal on Critical Infrastructure Protection. Jul2022, Vol. 37, pN.PAG-N.PAG. 1p.

Machine learning predictions of electro-optical properties in ZnO-doped nematic liquid crystals.

Autoren: Aksoy, Mustafa Aygul, Yesim Ugurlu, Onur et al.

Quelle: Bulletin of Materials Science; Dec2025, Vol. 48 Issue 4, p1-12, 12p

Schlagwörter: MACHINE learning, NEMATIC liquid crystals, ZINC oxide synthesis, LIGHT transmission, ELECTROOPTICAL devices, COMPOSITE materials, PREDICTION models

Vocal Cord Dysfunction in Nonlaryngeal Head and Neck Cancer After Chemoradiation Therapy: Predictive Modeling Using CT Radiomics and Machine Learning.

Autoren: Bagherzadeh, Sakineh Fadavi, Pedram Abdollahi, Hamid et al.

Quelle: BioMed Research International; 11/29/2025, Vol. 2025, p1-10, 10p

Schlagwörter: RANDOM forest algorithms, VOCAL cord dysfunction, PREDICTION models, RESEARCH funding, RECEIVER operating characteristic curves, HEAD & neck cancer, COMPUTED tomography, RADIOMICS, RADIATION injuries, CHEMORADIOTHERAPY, TREATMENT effectiveness, DESCRIPTIVE statistics, LONGITUDINAL method, MACHINE learning, RADIATION doses, HUMAN voice, BIOMARKERS, ALGORITHMS, SENSITIVITY & specificity (Statistics)

The prediction of adhesive failure of asphalt mixture based on Extremely Randomized Trees.

Autoren: Kong, Weiyi Hu, Jing Huang, Wei et al.

Quelle: SCIENCE CHINA Technological Sciences; Sep2025, Vol. 68 Issue 9, p1-14, 14p

Efficient Dynamic Emotion Recognition from Facial Expressions Using Statistical Spatio-Temporal Geometric Features.

Autoren: Yaddaden, Yacine

Quelle: Big Data & Cognitive Computing; Aug2025, Vol. 9 Issue 8, p213, 23p

Schlagwörter: EMOTION recognition, AFFECTIVE computing, COGNITIVE processing speed, RANDOM forest algorithms, SPATIO-temporal variation, SUPPORT vector machines, REAL-time computing

Preliminary Cost Estimation of Pavement Maintenance Projects through Machine Learning: Emphasis on Trees Algorithms.

Autoren: Paik, Y. Chung, F. Ashuri, B.

Quelle: Journal of Management in Engineering; Jul2025, Vol. 41 Issue 5, p1-11, 11p

Schlagwörter: MACHINE learning, FEATURE selection, RANDOM forest algorithms, REGRESSION trees, TRANSPORTATION agencies, BOOSTING algorithms, COST estimates

Rapid identification of microplastic using portable Raman system and extra trees algorithm.

Autoren: Li, Ming Jalali, Bahram Asghari, Mohammad Hossein et al.

Quelle: Proceedings of SPIE; 9/9/2020, Vol. 11555, p115550T-115550T-8, 1p