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Axellina Muara Setyanti,Setyo Tri Wahyudi
Pág. 208 - 219
Abstract: FDI - employment relationship has been a major concern of many researchers due to it's various findings. FDI is stated that able to trigger growth in employment, however, on the other hand, some have found that employment conditions affect FDI ...
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Ünzüle KURT, Feyza BALAN
Pág. 1 - 10
Climate change which caused to dramatic economic impact is a key issue for the world in the 21st century. Using data for Portugal, Ireland, Italy and Spain (PIIGS) countries over the years 1990-2009, this study investigates the causal relationship from c...
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Song Xue, Jingyan Chen, Sheng Li and Huaai Huang
Early warning of safety risks downstream of small reservoirs is directly related to the safety of people?s lives and property and the economic and social development of the region. The lack of data and low collaboration in downstream safety management of...
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Antonello Pasini and Stefano Amendola
Neural network models are often used to analyse non-linear systems; here, in cases of small datasets, we review our complementary approach to deep learning with the purpose of highlighting the importance and roles (linear, non-linear or threshold) of cer...
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Philip Dawid
This article surveys the variety of ways in which a directed acyclic graph (DAG) can be used to represent a problem of probabilistic causality. For each of these ways, we describe the relevant formal or informal semantics governing that representation. I...
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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...
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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...
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Zuxuan Song, Fangmei Liu, Wenbo Lv and Jianwu Yan
Exploring the transformation process of urban agricultural functions and its interaction with carbon effects based on regional differences is of great positive significance for achieving a low-carbon sustainable development of agriculture in metropolitan...
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Aditya Singhal and Vijay Mago
The use of Twitter by healthcare organizations is an effective means of disseminating medical information to the public. However, the content of tweets can be influenced by various factors, such as health emergencies and medical breakthroughs. In this st...
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Seethalakshmi Gopalakrishnan, Victor Zitian Chen, Wenwen Dou, Gus Hahn-Powell, Sreekar Nedunuri and Wlodek Zadrozny
This article presents a state-of-the-art system to extract and synthesize causal statements from company reports into a directed causal graph. The extracted information is organized by its relevance to different stakeholder group benefits (customers, emp...
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