Deep Forest

28 February 2017

Papers citing "Deep Forest"

50 / 50 papers shown

Title
The Role of Depth, Width, and Tree Size in Expressiveness of Deep Forest Shen-Huan Lyu Jin-Hui Wu Qin-Cheng Zheng Baoliu Ye 56 0 0 06 Jul 2024
Inference with Mondrian Random Forests M. D. Cattaneo Jason M. Klusowski W. Underwood 71 8 0 15 Oct 2023
Interpreting Deep Forest through Feature Contribution and MDI Feature Importance Yi He Shen-Huan Lyu Yuan Jiang FAtt 43 4 0 01 May 2023
Human Behavior in the Time of COVID-19: Learning from Big Data Hanjia Lyu Arsal Imtiaz Yufei Zhao Jiebo Luo 42 6 0 23 Mar 2023
One Venue, Two Conferences: The Separation of Chinese and American Citation Networks Bingchen Zhao Yuling Gu Jessica Zosa Forde Naomi Saphra GNN 29 2 0 17 Nov 2022
An Efficient FPGA-based Accelerator for Deep Forest M. Zhu Jiapeng Luo Wendong Mao Zhongfeng Wang 11 1 0 04 Nov 2022
A Review of Modern Approaches for Coronary Angiography Imaging Analysis Maxim Y Popov Temirgali Aimyshev Eldar Ismailov Ablay Bulegenov S. Fazli 26 3 0 28 Sep 2022
Deep Forest with Hashing Screening and Window Screening Pengfei Ma Youxi Wu Yuante Li Lei Guo He Jiang Xingquan Zhu X. Wu 42 19 0 25 Jul 2022
Online Deep Learning from Doubly-Streaming Data H. Lian John Scovil Atwood Bo-Jian Hou Jian Wu Yi He 31 10 0 25 Apr 2022
Random vector functional link network: recent developments, applications, and future directions Anil Kumar Malik Ruobin Gao M. A. Ganaie M. Tanveer Ponnuthurai Nagaratnam Suganthan 29 105 0 13 Feb 2022
Attention-based Random Forest and Contamination Model Lev V. Utkin A. Konstantinov 36 31 0 08 Jan 2022
DBC-Forest: Deep forest with binning confidence screening Pengfei Ma Youxi Wu Yan Li Lei Guo Zhao Li 17 17 0 25 Dec 2021
Visualizing Ensemble Predictions of Music Mood Zelin Ye Min Chen 38 5 0 14 Dec 2021
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications Xinlei Zhou Han Liu Farhad Pourpanah T. Zeng Xizhao Wang UQCV UD 41 58 0 03 Nov 2021
Deep convolutional forest: a dynamic deep ensemble approach for spam detection in text Mai A. Shaaban Y. F. Hassan S. Guirguis 26 34 0 10 Oct 2021
PyTorch Tabular: A Framework for Deep Learning with Tabular Data Manu Joseph LMTD 22 37 0 28 Apr 2021
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks Sergei Ivanov Liudmila Prokhorenkova AI4CE 53 52 0 21 Jan 2021
Growing Deep Forests Efficiently with Soft Routing and Learned Connectivity Jianghao Shen Sicheng Wang Zhangyang Wang 14 0 0 29 Dec 2020
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning Ying Bi Bing Xue Mengjie Zhang 33 24 0 17 Dec 2020
The Emerging Trends of Multi-Label Learning Weiwei Liu Haobo Wang Xiaobo Shen Ivor W. Tsang 48 255 0 23 Nov 2020
PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree Ensemble Deployment Meghana Madhyastha Kunal Lillaney J. Browne Joshua T. Vogelstein Randal C. Burns 30 1 0 10 Nov 2020
Deep tree-ensembles for multi-output prediction F. Nakano Konstantinos Pliakos C. Vens 35 19 0 03 Nov 2020
Interpretable Machine Learning with an Ensemble of Gradient Boosting Machines A. Konstantinov Lev V. Utkin FedML AI4CE 15 141 0 14 Oct 2020
A Generalized Stacking for Implementing Ensembles of Gradient Boosting Machines A. Konstantinov Lev V. Utkin 32 5 0 12 Oct 2020
Tuning Convolutional Spiking Neural Network with Biologically-plausible Reward Propagation Tielin Zhang Shuncheng Jia Xiang Cheng Bo Xu 36 48 0 09 Oct 2020
Adaptive Generation Model: A New Ensemble Method Jiacheng Ruan Jiahao Li 14 0 0 14 Sep 2020
Learning Representations for Axis-Aligned Decision Forests through Input Perturbation Sebastian Bruch Jan Pfeifer Mathieu Guillame-Bert 26 7 0 29 Jul 2020
Discovering Drug-Drug and Drug-Disease Interactions Inducing Acute Kidney Injury Using Deep Rule Forests Bowen Kuo Yihuang Kang Pinghsung Wu Sheng-Tai Huang Yajie Huang 21 2 0 04 Jul 2020
Gradient boosting machine with partially randomized decision trees A. Konstantinov Lev V. Utkin AI4CE 37 9 0 19 Jun 2020
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images Delong Chen Shunhui Ji Fan Liu Zewen Li Xinyu Zhou MedIm 55 11 0 09 Jun 2020
Modularizing Deep Learning via Pairwise Learning With Kernels Shiyu Duan Shujian Yu José C. Príncipe MoMe 31 20 0 12 May 2020
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT Liang Sun Zhanhao Mo Fuhua Yan L. Xia F. Shan ... Yaozong Gao Wanchun Gao H. Sui Daoqiang Zhang Dinggang Shen 34 179 0 07 May 2020
BoostTree and BoostForest for Ensemble Learning Changming Zhao Dongrui Wu Jian Huang Ye Yuan Hai-Tao Zhang Ruimin Peng Zhenhua Shi 37 33 0 21 Mar 2020
Interpretation and Simplification of Deep Forest Sangwon Kim Mira Jeong ByoungChul Ko FAtt 35 8 0 14 Jan 2020
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction Hong Wen Jing Zhang Yuan Wang Fuyu Lv Wentian Bao Quan Lin Keping Yang 25 9 0 15 Oct 2019
Learning deep forest with multi-scale Local Binary Pattern features for face anti-spoofing Rizhao Cai Changsheng Chen AAML CVBM 14 12 0 09 Oct 2019
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 107 301 0 13 Sep 2019
DWnet: Deep-Wide Network for 3D Action Recognition Yonghao Dang Fuxing Yang Jianqin Yin 51 18 0 29 Aug 2019
Automatic vocal tract landmark localization from midsagittal MRI data M. Eslami C. Neuschaefer-Rube A. Serrurier 30 16 0 18 Jul 2019
Resilient Combination of Complementary CNN and RNN Features for Text Classification through Attention and Ensembling Athanasios Giannakopoulos Maxime Coriou Andreea Hossmann Michael Baeriswyl C. Musat 11 3 0 28 Mar 2019
Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness Jiawang Bai Yiming Li Jiawei Li Yong Jiang Shutao Xia 37 15 0 14 Mar 2019
SVM-based Deep Stacking Networks Jingyuan Wang Kai Feng Junjie Wu 50 19 0 15 Feb 2019
G-SMOTE: A GMM-based synthetic minority oversampling technique for imbalanced learning Tianlun Zhang Xi Yang 14 5 0 24 Oct 2018
Super-pixel cloud detection using Hierarchical Fusion CNN Han Liu Dan Zeng Q. Tian 17 29 0 19 Oct 2018
An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL) Mojtaba Heidarysafa Kamran Kowsari Donald E. Brown K. Meimandi Laura E. Barnes 32 36 0 23 Aug 2018
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud Ya-Lin Zhang Jun Zhou Wenhao Zheng Ji Feng Longfei Li ... Chaochao Chen Xiaolong Li Zhi Zhou Yuan QI 17 73 0 11 May 2018
Deep Super Learner: A Deep Ensemble for Classification Problems Steven Young T. Abdou A. Bener UQCV 16 49 0 06 Mar 2018
Discriminative Metric Learning with Deep Forest Lev V. Utkin M. Ryabinin 39 21 0 25 May 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 121 1,508 0 25 Jan 2017
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 387 13,383 0 25 Aug 2014