LAST at CMCL 2021 Shared Task: Predicting Gaze Data During Reading with a Gradient Boosting Decision Tree Approach

Mapping Intimacies ◽

10.18653/v1/2021.cmcl-1.10 ◽

2021 ◽

Author(s):

Yves Bestgen

Keyword(s):

Decision Tree ◽

Gradient Boosting ◽

Shared Task ◽

Download Full-text

A gradient-boosting decision-tree approach for firm failure prediction: an empirical model evaluation of Chinese listed companies

The Journal of Risk Model Validation ◽

10.21314/jrmv.2017.170 ◽

2017 ◽

Vol 11 (2) ◽

pp. 43-64 ◽

Author(s):

Jiaming Liu ◽

Chong Wu

Keyword(s):

Decision Tree ◽

Empirical Model ◽

Model Evaluation ◽

Failure Prediction ◽

Listed Companies ◽

Gradient Boosting ◽

Chinese Listed Companies ◽

Download Full-text

Environmental impact analysis and enhancement of factors affecting the photovoltaic (PV) energy utilization in mining industry by sparrow search optimization based gradient boosting decision tree approach

Energy ◽

10.1016/j.energy.2021.122561 ◽

2021 ◽

pp. 122561

Author(s):

Praful Kumar Ganti ◽

Hrushikesh Naik ◽

Mohanty Kanungo Barada

Keyword(s):

Environmental Impact ◽

Decision Tree ◽

Impact Analysis ◽

Mining Industry ◽

Energy Utilization ◽

Gradient Boosting ◽

Environmental Impact Analysis ◽

Factors Affecting ◽

Search Optimization ◽

Download Full-text

A gradient boosting decision tree approach for insider trading identification: An empirical model evaluation of China stock market

Applied Soft Computing ◽

10.1016/j.asoc.2019.105652 ◽

2019 ◽

Vol 83 ◽

pp. 105652 ◽

Author(s):

Shangkun Deng ◽

Chenguang Wang ◽

Mingyue Wang ◽

Zhe Sun

Keyword(s):

Stock Market ◽

Decision Tree ◽

Insider Trading ◽

Empirical Model ◽

Model Evaluation ◽

Gradient Boosting ◽

China Stock Market ◽

Download Full-text

Prediction of 30-Day Readmission: An Improved Gradient Boosting Decision Tree Approach

Journal of Medical Imaging and Health Informatics ◽

10.1166/jmihi.2019.2582 ◽

2019 ◽

Vol 9 (3) ◽

pp. 620-627 ◽

Author(s):

Guodong Du ◽

Lei Ma ◽

Jin-Shan Hu ◽

Junpeng Zhang ◽

Yan Xiang ◽

...

Keyword(s):

Decision Tree ◽

Gradient Boosting ◽

Download Full-text

Prediction of transfers to tertiary care and hospital mortality: A gradient boosting decision tree approach

Statistical Analysis and Data Mining The ASA Data Science Journal ◽

10.1002/sam.10079 ◽

2010 ◽

Vol 3 (4) ◽

pp. 253-258 ◽

Author(s):

Jianjun Xie ◽

Stephen Coggeshall

Keyword(s):

Decision Tree ◽

Hospital Mortality ◽

Tertiary Care ◽

Gradient Boosting ◽

Download Full-text

Downscaling the GPM-based satellite precipitation retrievals using gradient boosting decision tree approach over Mainland China

Journal of Hydrology ◽

10.1016/j.jhydrol.2021.126803 ◽

2021 ◽

pp. 126803

Author(s):

Zhehui Shen ◽

Bin Yong

Keyword(s):

Decision Tree ◽

Mainland China ◽

Gradient Boosting ◽

Satellite Precipitation ◽

Download Full-text

Individual differences in mammogram compliance: A decision-tree approach

PsycEXTRA Dataset ◽

10.1037/e514472015-401 ◽

2014 ◽

Author(s):

Celia K. Naivar Sen ◽

G. Tarcan Kumkale

Keyword(s):

Individual Differences ◽

Decision Tree ◽

Download Full-text

AN EFFICIENT DECISION TREE APPROACH FOR OPINION MINING FROM SKEWED TWITTER CORPUS USING CONFISCATE AND SUBSTITUTE TECHNIQUE

10.21506/j.ponte.2017.1.13 ◽

2017 ◽

Vol 73 (1) ◽

Author(s):

salina adinarayana ◽

E. Ilavarasan

Keyword(s):

Decision Tree ◽

Opinion Mining ◽

Download Full-text

Selection of quantum computing architecture using a decision tree approach

2020 3rd International Conference on Intelligent Sustainable Systems (ICISS) ◽

10.1109/iciss49785.2020.9315893 ◽

2020 ◽

Author(s):

Lalitha Nallamothula

Keyword(s):

Quantum Computing ◽

Decision Tree ◽

Computing Architecture ◽

Tree Approach ◽

Download Full-text

Hit Song Prediction based on Gradient Boosting Decision Tree

2020 7th NAFOSTED Conference on Information and Computer Science (NICS) ◽

10.1109/nics51282.2020.9335886 ◽

2020 ◽

Author(s):

Bang-Dang Pham ◽

Minh-Triet Tran ◽

Hoang-Long Pham

Keyword(s):

Decision Tree ◽

Gradient Boosting

Download Full-text