26   Artículos

 
en línea
Miltiadis Iatrou, Miltiadis Tziouvalekas, Alexandros Tsitouras, Elefterios Evangelou, Christos Noulas, Dimitrios Vlachostergios, Vassilis Aschonitis, George Arampatzis, Irene Metaxa, Christos Karydas and Panagiotis Tziachris    
Storm ?Daniel? caused the most severe flood phenomenon that Greece has ever experienced, with thousands of hectares of farmland submerged for days. This led to sediment deposition in the inundated areas, which significantly altered the chemical propertie... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Marco Scutari    
Bayesian networks (BNs) are a foundational model in machine learning and causal inference. Their graphical structure can handle high-dimensional problems, divide them into a sparse collection of smaller ones, underlies Judea Pearl?s causality, and determ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Peng He and Ruishan Sun    
The efficient management of aviation safety requires the precise analysis of trends in incidents. While classical statistical models often rely on the autocorrelation of indicator sequences for trend fitting, significant room remains for performance impr... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Hairui Wang, Junming Li and Guifu Zhu    
Extracting effective features from high-dimensional datasets is crucial for determining the accuracy of regression and classification models. Model predictions based on causality are known for their robustness. Thus, this paper introduces causality into ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Philipp Gabler, Bernhard C. Geiger, Barbara Schuppler and Roman Kern    
Superficially, read and spontaneous speech?the two main kinds of training data for automatic speech recognition?appear as complementary, but are equal: pairs of texts and acoustic signals. Yet, spontaneous speech is typically harder for recognition. This... ver más
Revista: Information    Formato: Electrónico

 
en línea
Yunfei Zhang, Fangqi Zhu, Qiuping Li, Zehang Qiu and Yajun Xie    
Exploring spatiotemporal patterns of traffic accidents from historic crash databases is one essential prerequisite for road safety management and traffic risk prevention. Presently, with the emergence of GIS and data mining technologies, numerous geospat... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Na Lu and Bin Meng    
Generally, airplane upsets in flight are considered a precursor to loss of control in flight (LOC-I) accidents, and unfortunately LOC-I is classified as the leading cause of fatal accidents. To further explore the risk factors, causal relationships, and ... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Uzair Bhatti and Noralfishah Sulaiman    
The purpose of this paper is to explore the impact of ESG sustainability practices (i.e., Environmental, Social, Governance/economic) on share performance. Moreover, the objective of the study is to investigate the sustainability practices with mediation... ver más
Revista: International Journal of Financial Studies    Formato: Electrónico

 
en línea
Camil Bancioiu and Remus Brad    
This article proposes the usage of the d-separation criterion in Markov Boundary Discovery algorithms, instead of or alongside the statistical tests of conditional independence these algorithms usually rely on. This is a methodological improvement applic... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Yuefeng Cen, Mingxing Luo, Gang Cen, Cheng Zhao and Zhigang Cheng    
It is meaningful to analyze the market correlations for stock selection in the field of financial investment. Since it is difficult for existing deep clustering methods to mine the complex and nonlinear features contained in financial time series, in ord... ver más
Revista: Future Internet    Formato: Electrónico

« Anterior     Página: 1 de 2     Siguiente »