Results 81 to 90 of about 88,463 (183)

Predicting human decisions with behavioral theories and machine learning

, 2019
Behavioral decision theories aim to explain human behavior. Can they help predict it? An open tournament for prediction of human choices in fundamental economic decision tasks is presented.
Apel, Reut, Bourgin, David, Carter, Evan C., Cavanagh, James F., Erev, Ido, Ert, Eyal, Griffiths, Thomas L., Peterson, Joshua C., Plonsky, Ori, Reichman, Daniel, Russell, Stuart J., Tennenholtz, Moshe   +11 more
core  

Explainable tuned machine learning models for assessing the impact of corrosion on bond strength in concrete

Cleaner Engineering and Technology
This study mainly aims to evaluate the bond strength of corroded reinforcements in reinforced concrete members. In this regard, a comprehensive dataset containing a total of 285 specimens was collected from previous experiments.
Maryam Bypour, Alireza Mahmoudian, Mohammad Yekrangnia, Mahdi Kioumarsi   +3 more
doaj   +1 more source

Laptop Price Prediction Using Extreme Gradient Boosting Algorithm

Journal of Applied Research In Computer Science and Information Systems
The laptop is a support for many people in doing all activities. The number of laptop outputs with various models can affect the price of laptops. The presence of various online and offline stores causes different laptop prices and it becomes difficult to compare prices that are close to the low price range.
Syahrani Adrianty, Febri Maspiyanti
openaire   +1 more source

Reassessment of pelvic radiographic measurements for delivery prediction using machine learning

Computer Methods and Programs in Biomedicine Update
Background and Objective: Pelvimetry has historically shown limitations in diagnosing cephalopelvic disproportion, yet recent evidence suggests potential predictive value.
Ayano Suemori, Jota Maki, Hikaru Ooba, Hikari Nakato, Keiichi Oishi, Tomohiro Mitoma, Sakurako Mishima, Akiko Ohira, Satoe Kirino, Eriko Eto, Hisashi Masuyama   +10 more
doaj   +1 more source

Compressive Strength of Cement‐Based Composites Using Machine Learning Models

Engineering Reports
This work aims to compare the compressive strength of cellulose nanofibrils (CNFs) reinforced concrete, cement paste, and cement mortar utilizing machine learning models for prediction before construction.
Wenyi Yang, Aftab Anwar, Yuanjun Jiang, Wania Naz, Wang Yanwei, Wang Jing, Jing Li   +6 more
doaj   +1 more source

Fault Diagnosis of Centrifugal Chiller Based on Extreme Gradient Boosting

Buildings
Centrifugal chillers have been widely used in medium- and large-scale air conditioning projects. However, equipment running with faults will result in additional energy consumption. Meanwhile, it is difficult to diagnose the minor faults of the equipment.
Yaxiang Liu, Tao Liang, Mengxin Zhang, Nijie Jing, Yudong Xia, Qiang Ding   +5 more
doaj   +1 more source

Machine learning–based predictive model for post-stroke dementia

BMC Medical Informatics and Decision Making
Background Post-stroke dementia (PSD), a common complication, diminishes rehabilitation efficacy and affects disease prognosis in stroke patients. Many factors may be related to PSD, including demographic, comorbidities, and examination characteristics ...
Zemin Wei, Mengqi Li, Chenghui Zhang, Jinli Miao, Wenmin Wang, Hong Fan   +5 more
doaj   +1 more source

Extreme Gradient Boosting Combined with Conformal Predictors for Informative Solubility Estimation. [PDF]

Molecules, 2023
Jovic O, Mouras R.
europepmc   +1 more source

Enhanced Heart Attack Prediction Using eXtreme Gradient Boosting

Journal of Theory and Practice of Engineering Science
Heart attack prediction is a vital component of cardiovascular healthcare, aiming to identify individuals at risk for timely intervention and improved patient outcomes. Despite significant advancements in predictive modeling techniques, several challenges persist, including algorithmic limitations, interpretability issues, data dependence, and ...
Mingyang Feng, Xiaosong Wang, Zhiming Zhao, Chufeng Jiang, Jize Xiong, Ning Zhang   +5 more
openaire   +1 more source

Stacked ensemble deep learning for pancreas cancer classification using extreme gradient boosting. [PDF]

Front Artif Intell, 2023
Bakasa W, Viriri S.
europepmc   +1 more source