Gradient boosting

Boosting Structured Prediction for Imitation Learning

Nathan Ratliff, David M. Bradley, J. Andrew Bagnell, Joel Chestnutt

Citations: 133 • 2018

Predicting surface solar radiation using a hybrid radiative Transfer–Machine learning model

Yunbo Lu, Lunche Wang, Canming Zhu, Ling Zou, Ming Zhang, Lan Feng, Qian Cao

Citations: 60 • 2022

Failure detection in robotic arms using statistical modeling, machine learning and hybrid gradient boosting

Marcelo Azevedo Costa, Bernhard Wullt, Mikael Norrlöf, Svante Gunnarsson

Citations: 60 • 2019

An optimized feature selection using bio-geography optimization technique for human walking activities recognition

Vijay Bhaskar Semwal, Praveen Lalwani, Manas Kumar Mishra, Vishwanath Bijalwan, Jasroop Singh Chadha

Citations: 53 • 2021

Micro-doppler based human-robot classification using ensemble and deep learning approaches

Citations: 39 • 2018

Optimal Feature Selection for EMG-Based Finger Force Estimation Using LightGBM Model

Yuhang Ye, Chao Liu, Nabil Zemiti, Chenguang Yang

Citations: 32 • 2019

Intelligent Control of Robotic Arm Using Brain Computer Interface and Artificial Intelligence

Jehangir Arshad, Adan Qaisar, Atta-Ur Rehman, Mustafa Shakir, Muhammad Kamran Nazir, Ateeq Ur Rehman, Sayed M. Eldin, Nivin A. Ghamry, Habib Hamam

Citations: 28 • 2022

Top-tuning on transformers and data augmentation transferring for boosting the performance of weed identification

Borja Espejo-García, Hercules Panoutsopoulos, Evangelos Anastasiou, Francisco Javier Rodríguez-Rigueiro, Spyros Fountas

Citations: 21 • 2023

Estimation of Aerosol Optical Depth at 30 m Resolution Using Landsat Imagery and Machine Learning

Tianchen Liang, Shunlin Liang, Linqing Zou, Lin Sun, Bing Li, Hao Lin, Tao He, Feng Tian

Citations: 20 • 2022

Robust Head Pose Estimation Using Extreme Gradient Boosting Machine on Stacked Autoencoders Neural Network

Minh Thanh Vo, Trang Nguyen, Tuong Le

Citations: 16 • 2019

NIDD: an intelligent network intrusion detection model for nursing homes

Feng Zhou, Xin Du, Wenli Li, Zhihui Lu, Jie Ying Wu

Citations: 14 • 2022

Task failure prediction for wafer-handling robotic arms by using various machine learning algorithms

Ping Huang, Kuan-Jung Chung

Citations: 10 • 2021

A Boosted Decision Tree Approach for a Safe Human-Robot Collaboration in Quasi-static Impact Situations

Nemanja Kovincic, Hubert Gattringer, Andreas Müller, Mathias Brandstötter

Citations: 9 • 2020

Estimating Human Body Orientation using Skeletons and Extreme Gradient Boosting

Pedro Victor Vieira de Paiva, Murillo Rehder Batista, Josué J. G. Ramos

Citations: 7 • 2020

Gradient boosting regression for faster Partitioned Iterated Function Systems‐based head pose estimation

Paola Barra, Riccardo Distasi, Chiara Pero, Stefano Ricciardi, Maurizio Tucci

Citations: 7 • 2021

Robots in action

Taraneh Shahin, María Teresa Ballestar de las Heras, Ismael Sanz

Citations: 6 • 2024

Assessment of Post-Stroke Patients Using Smartphones and Gradient Boosting

Hussein Sarwat, Hassan Sarwat, Mohammed I. Awad, Shady A. Maged

Citations: 6 • 2020

BOOSTING THE ACCURACY OF OPTIMISATION CHATBOT BY RANDOM FOREST WITH HALVING GRID SEARCH HYPERPARAMETER TUNING

Bedre Nagaraj, Kiran B. Malagi

Citations: 5 • 2023

Comparison of deep learning with traditional models to predict preventable acute care use and spending among heart failure patients

Miranda M. Lewis, José F. Figueroa

Citations: 4 • 2021

Predicting declining and growing occupations using supervised machine learning

Christelle Khalaf, Gilbert Michaud, G. Jason Jolley

Citations: 4 • 2023