• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 91 matches

• 2024
• 
  Dongming Wang, Xing Xu, Xuewen Xia, Heming Jia:
  Interactive 3D Vase Design Based on Gradient Boosting Decision Trees. Algorithms 17(9): 407 (2024)
• 
  Jianjian Zhu, Zhongqing Su, Qingqing Wang, Zifeng Lan, Frankie Siu-fai Chan, Zhibin Han, Zhaokun Wang, Sidney Wing-fai Wong, Andy Chi-fung Ngan:
  Surface quality prediction and quantitative evaluation of process parameter effects for 3D printing with transfer learning-enhanced gradient-boosting decision trees. Expert Syst. Appl. 237(Part B): 121478 (2024)
• 
  Ruidong Chen, Tianci Dai, Yanfeng Zhang, Yukun Zhu, Xin Liu, Erfan Zhao:
  GBDT-IL: Incremental Learning of Gradient Boosting Decision Trees to Detect Botnets in Internet of Things. Sensors 24(7): 2083 (2024)
• 
  Kotaro Shimamura, Shinya Takamaeda-Yamazaki:
  FS-Boost: Communication-Efficient Federated Subtree-Based Gradient Boosting Decision Trees. CCNC 2024: 839-842
• 
  Kunihiro Ito, Batnyam Enkhtaivan, Isamu Teranishi, Jun Sakuma:
  Trojan attribute inference attack on gradient boosting decision trees. EuroS&P 2024: 542-559
• 
  Xingfu Li, Bangchao Wang, Hongyan Wan, Yuanbang Li, Han Jiang, Yang Deng, Zhiyuan Zou:
  MLTracer: An Approach Based on Multi-Layered Gradient Boosting Decision Trees for Requirements Traceability Recovery. IJCNN 2024: 1-8
• 
  Ryota Maniwa, Naoki Ichijo, Yuta Nakahara, Toshiyasu Matsushima:
  Boosting-Based Sequential Meta-Tree Ensemble Construction for Improved Decision Trees. CoRR abs/2402.06386 (2024)
• 
  Evgeny Kozinov, Evgeny Vasiliev, Andrey Gorshkov, Valentina Kustikova, Artem Maklaev, Valentin Volokitin, Iosif B. Meyerov:
  Vectorization of Gradient Boosting of Decision Trees Prediction in the CatBoost Library for RISC-V Processors. CoRR abs/2405.11062 (2024)
• 
  Anjali Sureshkumar Nair, Prashant Nitnaware:
  Development of Multistage Machine Learning Classifier using Decision Trees and Boosting Algorithms over Darknet Network Traffic. CoRR abs/2407.15910 (2024)
• 2023
• 
  Biao Xu, Yao Wang, Xiuwu Liao, Kaidong Wang:
  Efficient fraud detection using deep boosting decision trees. Decis. Support Syst. 175: 114037 (2023)
• 
  Yingjie Li, Yan Feng, Quan Qian:
  FDPBoost: Federated differential privacy gradient boosting decision trees. J. Inf. Secur. Appl. 74: 103468 (2023)
• 
  Zhaomin Wu, Junhui Zhu, Qinbin Li, Bingsheng He:
  DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning. Proc. ACM Manag. Data 1(2): 168:1-168:26 (2023)
• 
  Simin Zhang, Nanfeng Liu, Ming Luo, Tao Jiang, Ting On Chan, Cynthia Sin Ting Yau, Yeran Sun:
  Downscaling Sentinel-3 Chlorophyll-a Concentration for Inland Lakes Based on Multivariate Analysis and Gradient Boosting Decision Trees Regression. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 7850-7865 (2023)
• 
  Shuai Yuan, Hongwei Li, Xinyuan Qian, Meng Hao, Yixiao Zhai, Xiaolong Cui:
  Toward Efficient and End-to-End Privacy-Preserving Distributed Gradient Boosting Decision Trees. ICC 2023: 1566-1571
• 
  Daning Cheng, Shigang Li, Yunquan Zhang:
  Asynch-SGBDT: Train Stochastic Gradient Boosting Decision Trees in an Asynchronous Parallel Manner. IPDPS 2023: 256-267
• 
  Huawei Lin, Jun Woo Chung, Yingjie Lao, Weijie Zhao:
  Machine Unlearning in Gradient Boosting Decision Trees. KDD 2023: 1374-1383
• 
  Christos Konstantinou, Panagiotis Fafoutellis, Eleni G. Mantouka, Charis Chalkiadakis, Petros Fortsakis, Eleni I. Vlahogianni:
  Effects of Driving Behavior on Fuel Consumption with Explainable Gradient Boosting Decision Trees. MT-ITS 2023: 1-6
• 
  Biao Xu, Yao Wang, Xiuwu Liao, Kaidong Wang:
  Efficient Fraud Detection using Deep Boosting Decision Trees. CoRR abs/2302.05918 (2023)
• 
  Moritz Kirschte, Thorsten Peinemann, Joshua Stock, Carlos Cotrini, Esfandiar Mohammadi:
  S-GBDT: Frugal Differentially Private Gradient Boosting Decision Trees. CoRR abs/2309.12041 (2023)
• 
  Jian Zhang, Bowen Li, Jie Li, Chentao Wu:
  SecureCut: Federated Gradient Boosting Decision Trees with Efficient Machine Unlearning. CoRR abs/2311.13174 (2023)
• 
  Sergey A. Saltykov:
  Knowledge Trees: Gradient Boosting Decision Trees on Knowledge Neurons as Probing Classifier. CoRR abs/2312.10746 (2023)
• 2022
• 
  Janne Takalo-Mattila, Mikko Heiskanen, Vesa Kyllönen, Leena Määttä, Agne Bogdanoff:
  Explainable Steel Quality Prediction System Based on Gradient Boosting Decision Trees. IEEE Access 10: 68099-68110 (2022)
• 
  Fuki Yamamoto, Seiichi Ozawa, Lihua Wang:
  eFL-Boost: Efficient Federated Learning for Gradient Boosting Decision Trees. IEEE Access 10: 43954-43963 (2022)
• 
  Tingxi Yu, Li Wang, Wuping Zhang, Guofang Xing, Jiwan Han, Fuzhong Li, Chunqing Cao:
  Predicting Phenotypes From High-Dimensional Genomes Using Gradient Boosting Decision Trees. IEEE Access 10: 48126-48140 (2022)
• 
  Antonella Plaia, Simona Buscemi, Johannes Fürnkranz, Eneldo Loza Mencía:
  Comparing Boosting and Bagging for Decision Trees of Rankings. J. Classif. 39(1): 78-99 (2022)
• 
  Wan'an Liu, Hong Fan, Meng Xia:
  Credit scoring based on tree-enhanced gradient boosting decision trees. Expert Syst. Appl. 189: 116034 (2022)
• 
  Stela Golovco, Matteo Mantovani, Carlo Combi, John H. Holmes:
  Acute Kidney Injury Prediction with Gradient Boosting Decision Trees enriched with Temporal Features. ICHI 2022: 669-676
• 
  Jun-Qi Guo, Ming-Zhuo Teng, Wei Gao, Zhi-Hua Zhou:
  Fast Provably Robust Decision Trees and Boosting. ICML 2022: 8127-8144
• 
  Mingxuan He, Mithuna Thottethodi, T. N. Vijaykumar:
  Booster: An Accelerator for Gradient Boosting Decision Trees Training and Inference. IPDPS 2022: 1051-1062
• 
  Handong Ma, Jiahang Cao, Yuchen Fang, Weinan Zhang, Wenbo Sheng, Shaodian Zhang, Yong Yu:
  Retrieval-Based Gradient Boosting Decision Trees for Disease Risk Assessment. KDD 2022: 3468-3476

skipping 61 more matches