Results 31 to 40 of about 2,368,157 (325)

A machine learning study to identify spinodal clumping in high energy nuclear collisions [PDF]

, 2019
The coordinate and momentum space configurations of the net baryon number in heavy ion collisions that undergo spinodal decomposition, due to a first-order phase transition, are investigated using state-of-the-art machine-learning methods.
Koch, V, Pang, LG, Randrup, J, Steinheimer, J, Stoecker, H, Zhou, K   +5 more
core   +2 more sources

The economic explainability of machine learning and standard econometric models-an application to the U.S. mortgage default risk

International Journal of Strategic Property Management, 2021
This study aims to bridge the gap between two perspectives of explainability−machine learning and engineering, and economics and standard econometrics−by applying three marginal measurements.
Dong-sup Kim, Seungwoo Shin
doaj   +1 more source

Ball Throwing Machine Design To Develop Footballers’ Technical Attributes

European Mechanical Science, 2021
For a football player to perform well in football, it is necessary to improve his technical and tactical skills. Improving these skills is enabled with repetition of the same positions that the football player has the ball.
Turgut Kaplan, Cemile Arslan, Humar Kahramanlı, Gökhan Yalçın, Mustafa Arslan   +4 more
doaj   +1 more source

Character-level Chinese-English Translation through ASCII Encoding [PDF]

, 2018
Character-level Neural Machine Translation (NMT) models have recently achieved impressive results on many language pairs. They mainly do well for Indo-European language pairs, where the languages share the same writing system.
Hahnloser, Richard H. R., Hu, Yuhuang, Nikolov, Nikola I., Tan, Mi Xue   +3 more
core   +1 more source

Machine learning for modeling animal movement.

PLoS ONE, 2020
Animal movement drives important ecological processes such as migration and the spread of infectious disease. Current approaches to modeling animal tracking data focus on parametric models used to understand environmental effects on movement behavior and
Dhanushi A Wijeyakulasuriya, Elizabeth W Eisenhauer, Benjamin A Shaby, Ephraim M Hanks   +3 more
doaj   +1 more source

A cross-cohort replicable and heritable latent dimension linking behaviour to multi-featured brain structure

Communications Biology, 2022
Multivariate brain-behaviour associations are studied with regularized canonical correlation analysis and a machine learning framework, showing that behavioural inter-individual variability is linked to inter-individual variability in brain structure.
Eliana Nicolaisen-Sobesky, Agoston Mihalik, Shahrzad Kharabian-Masouleh, Fabio S. Ferreira, Felix Hoffstaedter, Holger Schwender, Somayeh Maleki Balajoo, Sofie L. Valk, Simon B. Eickhoff, B. T. Thomas Yeo, Janaina Mourao-Miranda, Sarah Genon   +11 more
doaj   +1 more source

Could You Understand Me? The Relationship among Method Complexity, Preprocessing Complexity, Interpretability, and Accuracy

Mathematics, 2023
The need to train experts who will be able to apply machine learning methods for knowledge discovery is increasing. Building an effective machine learning model requires understanding the principle of operation of the individual methods and their ...
Lívia Kelebercová, Michal Munk, František Forgáč   +2 more
doaj   +1 more source

Ensemble learning based functional independence ability estimator for pediatric brain tumor survivors

Health Informatics Journal, 2022
A history of brain tumor strongly affects children’s cognitive abilities, performance of daily activities, quality of life, and functional outcomes.
Pei-Hua Lin, Ping-Huan Kuo
doaj   +1 more source

Brain-mediated Transfer Learning of Convolutional Neural Networks

, 2019
The human brain can effectively learn a new task from a small number of samples, which indicate that the brain can transfer its prior knowledge to solve tasks in different domains.
Blanc, Antoine, Kado, Masataka, Maeda, Naoya, Nakano, Yusuke, Nishida, Satoshi, Nishimoto, Shinji   +5 more
core   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

FEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin, Tingting Chen, James A. Letts   +2 more
wiley   +1 more source