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Publication search results
found 42 matches
- 2023
- Carla E. Garcia, Insoo Koo:
Extremely Randomized Trees Regressor Scheme for Mobile Network Coverage Prediction and REM Construction. IEEE Access 11: 65170-65180 (2023) - Paola Zuccolotto, Marco Sandri, Marica Manisera:
Spatial performance analysis in basketball with CART, random forest and extremely randomized trees. Ann. Oper. Res. 325(1): 495-519 (2023) - Yu Zhang, Shangce Gao, Pengxing Cai, Zhenyu Lei, Yirui Wang:
Information entropy-based differential evolution with extremely randomized trees and LightGBM for protein structural class prediction. Appl. Soft Comput. 136: 110064 (2023) - Zijian Wang, Lin Guo, Huili Gong, Xiaojuan Li, Lin Zhu, Ying Sun, Beibei Chen, Xueqi Zhu:
Land subsidence simulation based on Extremely Randomized Trees combined with Monte Carlo algorithm. Comput. Geosci. 178: 105415 (2023) - Xinzhe Wang, Linlin Tan, Jianchao Fan:
Performance Evaluation of Mangrove Species Classification Based on Multi-Source Remote Sensing Data Using Extremely Randomized Trees in Fucheng Town, Leizhou City, Guangdong Province. Remote. Sens. 15(5): 1386 (2023) - Tiago C. de Araújo, Lígia T. Silva, Ana Aguiar, Adriano J. C. Moreira:
Calibration Assessment of Low-Cost Carbon Dioxide Sensors Using the Extremely Randomized Trees Algorithm. Sensors 23(13): 6153 (2023) - Mustafa Alabadla, Fatimah Sidi, Iskandar Ishak, Hamidah Ibrahim, Hazlina Hamdan, Shahril Iskandar Amir, Appak Yessirkep Nurlankyzy:
AutoImpute: An Autonomous Web Tool for Data Imputation Based on Extremely Randomized Trees. DATA 2023: 598-605 - Manuele Bicego, Ferdinando Cicalese:
On the Good Behaviour of Extremely Randomized Trees in Random Forest-Distance Computation. ECML/PKDD (4) 2023: 645-660 - 2022
- Amin Aminifar, Matin Shokri, Fazle Rabbi, Violet Ka I Pun, Yngve Lamo:
Extremely Randomized Trees With Privacy Preservation for Distributed Structured Health Data. IEEE Access 10: 6010-6027 (2022) - Shruti Sachdeva, Bijendra Kumar:
Flood susceptibility mapping using extremely randomized trees for Assam 2020 floods. Ecol. Informatics 67: 101498 (2022) - Shuangshuang Wu, Jianping Chen, Li Li, Cheng Zhang, Rujin Huang, Quanping Zhang:
Quantitative Inversion of Lunar Surface Chemistry Based on Hyperspectral Feature Bands and Extremely Randomized Trees Algorithm. Remote. Sens. 14(20): 5248 (2022) - 2021
- Hongju Cheng, Yushi Shi, Leihuo Wu, Yingya Guo, Naixue Xiong:
An intelligent scheme for big data recovery in Internet of Things based on Multi-Attribute assistance and Extremely randomized trees. Inf. Sci. 557: 66-83 (2021) - Hongju Cheng, Leihuo Wu, Ruixing Li, Fangwan Huang, Chunyu Tu, Zhiyong Yu:
Data recovery in wireless sensor networks based on attribute correlation and extremely randomized trees. J. Ambient Intell. Humaniz. Comput. 12(1): 245-259 (2021) - Umer Saeed, Sana Ullah Jan, Young-Doo Lee, Insoo Koo:
Fault diagnosis based on extremely randomized trees in wireless sensor networks. Reliab. Eng. Syst. Saf. 205: 107284 (2021) - Sphamandla S. May, Omowunmi E. Isafiade, Olasupo O. Ajayi:
Hybridizing Extremely Randomized Trees with Bootstrap Aggregation for Crime Prediction. AIPR 2021: 536-541 - Amin Aminifar, Fazle Rabbi, Yngve Lamo:
Scalable Privacy-Preserving Distributed Extremely Randomized Trees for Structured Data With Multiple Colluding Parties. ICASSP 2021: 2655-2659 - Rahul Kumar, Ankur Gupta, Harkirat Singh Arora, Balasubramanian Raman:
GRGE: Detection of Gliomas Using Radiomics, GA Features and Extremely Randomized Trees. ICOIN 2021: 379-384 - Amin Aminifar, Fazle Rabbi, Ka I Pun, Yngve Lamo:
Privacy preserving distributed extremely randomized trees. SAC 2021: 1102-1105 - 2020
- Mario R. Camana Acosta, Saeed Ahmed, Carla E. Garcia, Insoo Koo:
Extremely Randomized Trees-Based Scheme for Stealthy Cyber-Attack Detection in Smart Grid Networks. IEEE Access 8: 19921-19933 (2020) - Azar Zafari, Raúl Zurita-Milla, Emma Izquierdo-Verdiguier:
Land Cover Classification Using Extremely Randomized Trees: A Kernel Perspective. IEEE Geosci. Remote. Sens. Lett. 17(10): 1702-1706 (2020) - Dragi Kocev, Michelangelo Ceci, Tomaz Stepisnik:
Ensembles of extremely randomized predictive clustering trees for predicting structured outputs. Mach. Learn. 109(11): 2213-2241 (2020) - Ebrahim Eslami, Ahmed Khan Salman, Yunsoo Choi, Alqamah Sayeed, Yannic Lops:
A data ensemble approach for real-time air quality forecasting using extremely randomized trees and deep neural networks. Neural Comput. Appl. 32(11): 7563-7579 (2020) - Budi Padmaja, V. V. Rama Prasa, K. V. N. Sunitha:
A Novel Random Split Point Procedure Using Extremely Randomized (Extra) Trees Ensemble Method for Human Activity Recognition. EAI Endorsed Trans. Pervasive Health Technol. 6(22): e5 (2020) - Fengkai Li, Huili Gong, Beibei Chen, Chaofan Zhou, Lin Guo:
Analysis of the Contribution Rate of the Influencing Factors to Land Subsidence in the Eastern Beijing Plain, China Based on Extremely Randomized Trees (ERT) Method. Remote. Sens. 12(18): 2963 (2020) - Ke Shang, Yunjun Yao, Yufu Li, Junming Yang, Kun Jia, Xiaotong Zhang, Xiaowei Chen, Xiangyi Bei, Xiaozheng Guo:
Fusion of Five Satellite-Derived Products Using Extremely Randomized Trees to Estimate Terrestrial Latent Heat Flux over Europe. Remote. Sens. 12(4): 687 (2020) - 2019
- Dayanand G. Savakar, Anil Kannur:
An extremely randomized trees method for weapons classification based on wound patterns of sharp metals using ultrasound images. Iran J. Comput. Sci. 2(4): 207-217 (2019) - Fan Zhang, Jing Bai, Xiaoyu Li, Changxing Pei, Vincent Havyarimana:
An Ensemble Cascading Extremely Randomized Trees Framework for Short-Term Traffic Flow Prediction. KSII Trans. Internet Inf. Syst. 13(4): 1975-1988 (2019) - Hongying Zhang, Liangping Tu, Ke Lu:
Automatic Estimation of Stellar Atmospheric Parameters Based on Extremely Randomized Trees. CISP-BMEI 2019: 1-5 - Chuan Hu, Xin Xu, Guixia Kang, Dongli Wei, Beibei Hou, Zhifeng Liu:
A Novel Seizure Diagnostic Model based on Generalized Hurst Exponent and Extremely Randomized Trees. ICBBS 2019: 8-15 - Aldrin John Torres, Clowie Silubrico, Daniel Torralba, John Paul Q. Tomas:
Detection of Proper Form on Upper Limb Strength Training Using Extremely Randomized Trees for Joint Positions. ICCBD 2019: 111-115
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