Results 51 to 60 of about 82,468 (189)

A Super-Bagging Method for Volleyball Action Recognition Using Wearable Sensors

Multimodal Technologies and Interaction, 2020
Access to performance data during matches and training sessions is important for coaches and players. Although there are many video tagging systems available which can provide such access, these systems require manual effort.
Fasih Haider, Fahim A. Salim, Dees B.W. Postma, Robby van Delden, Dennis Reidsma, Bert-Jan van Beijnum, Saturnino Luz   +6 more
doaj   +1 more source

Enhancing Migraine Classification Through Machine Learning: A Comparative Study of Ensemble Methods

Technologies
A migraine is a common and complex neurological disorder affecting more than 90% of people globally. Traditional migraine diagnostic and classification methods are time-intensive and prone to error.
Raniya R. Sarra, Ayad E. Korial, Ivan Isho Gorial, Amjad J. Humaidi   +3 more
doaj   +1 more source

Supervised Machine-Learning Predictive Analytics for National Quality of Life Scoring

Applied Sciences, 2019
For many years there has been a focus on individual welfare and societal advancement. In addition to the economic system, diverse experiences and the habitats of people are crucial factors that contribute to the well-being and progress of the nation. The
Maninder Kaur, Meghna Dhalaria, Pradip Kumar Sharma, Jong Hyuk Park   +3 more
doaj   +1 more source

Noise Robustness Analysis of Performance for EEG-Based Driver Fatigue Detection Using Different Entropy Feature Sets

Entropy, 2017
Driver fatigue is an important factor in traffic accidents, and the development of a detection system for driver fatigue is of great significance. To estimate and prevent driver fatigue, various classifiers based on electroencephalogram (EEG) signals ...
Jianfeng Hu, Ping Wang
doaj   +1 more source

Bagging the DL-Lite Family Further [PDF]

, 2011
Ontology-based data access (OBDA) is a popular approach for integrating and querying multiple data sources by means of an ontology, which is usually expressed in a description logic (DL) of DL-Lite family.
Bernardo Cuenca Grau, Charalampos Nikolaou, Egor V. Kostylev, Gianluca Cima, Ian Horrocks, Mark Kaminski   +5 more
core   +2 more sources

Tree models for difference and change detection in a complex environment

, 2012
A new family of tree models is proposed, which we call "differential trees." A differential tree model is constructed from multiple data sets and aims to detect distributional differences between them.
Challands, Neil, Holmes, Mark, Wang, Yong, Ziedins, Ilze   +3 more
core   +1 more source

Bagging and boosting classification trees to predict churn. [PDF]

Bagging; Boosting; Classification; Churn;
Croux, Christophe, Lemmens, Aurélie
core   +3 more sources

Predictive Modeling of ICU Healthcare-Associated Infections from Imbalanced Data. Using Ensembles and a Clustering-Based Undersampling Approach

, 2019
Early detection of patients vulnerable to infections acquired in the hospital environment is a challenge in current health systems given the impact that such infections have on patient mortality and healthcare costs.
Ballesteros-Herráez, Juan Carlos, Kraiem, Mohamed S., Moreno-García, María N., Sánchez-Barba, Mercedes, Sánchez-Hernández, Fernando   +4 more
core   +1 more source

Data-driven diagnosis of spinal abnormalities using feature selection and machine learning algorithms.

PLoS ONE, 2020
This paper focuses on the application of machine learning algorithms for predicting spinal abnormalities. As a data preprocessing step, univariate feature selection as a filter based feature selection, and principal component analysis (PCA) as a feature ...
Md Raihan-Al-Masud, M Rubaiyat Hossain Mondal   +1 more
doaj   +1 more source

Short-Term Photovoltaic Output Prediction Based on Decomposition and Reconstruction and XGBoost under Two Base Learners

Energies
Photovoltaic power generation prediction constitutes a significant research area within the realm of power system artificial intelligence. Accurate prediction of future photovoltaic output is imperative for the optimal dispatchment and secure operation ...
Weihui Xu, Zhaoke Wang, Weishu Wang, Jian Zhao, Miaojia Wang, Qinbao Wang   +5 more
doaj   +1 more source