Najmeh Nakhaei Rad,Andriette Bekker,Mohammad Arashi et al.
Najmeh Nakhaei Rad et al.
This paper presents Bayesian directional data modeling via the skew-rotationally-symmetric Fisher-von Mises-Langevin (FvML) distribution. The prior distributions for the parameters are a pivotal building block in Bayesian analysis, therefor...
Network Models and Simulation Analytics for Multi-scale Dynamics of Biological Invasions [0.03%]
用于生物入侵多尺度动力学的网络模型及仿真分析
Abhijin Adiga,Nicholas Palmer,Young Yun Baek et al.
Abhijin Adiga et al.
Globalization and climate change facilitate the spread and establishment of invasive species throughout the world via multiple pathways. These spread mechanisms can be effectively represented as diffusion processes on multi-scale, spatial n...
Survival Analysis of COPD Patients in a 13-Year Nationwide Cohort Study of the Brazilian National Health System [0.03%]
一项关于巴西全民健康系统中慢性阻塞性肺疾病患者的13年全国队列生存分析研究
Ludmila Peres Gargano,Isabella de Figueiredo Zuppo,Mariana Martins Gonzaga do Nascimento et al.
Ludmila Peres Gargano et al.
Background: Chronic obstructive pulmonary disease (COPD) has an appreciable socioeconomical impact in low- and middle-income countries, but most epidemiological data originate from high-income countries. For this reason, ...
HPTMT Parallel Operators for High Performance Data Science and Data Engineering [0.03%]
高效的数据科学与数据工程的HPTMT并行操作符
Vibhatha Abeykoon,Supun Kamburugamuve,Chathura Widanage et al.
Vibhatha Abeykoon et al.
Data-intensive applications are becoming commonplace in all science disciplines. They are comprised of a rich set of sub-domains such as data engineering, deep learning, and machine learning. These applications are built around efficient da...
Runoff Forecasting Using Machine-Learning Methods: Case Study in the Middle Reaches of Xijiang River [0.03%]
基于机器学习方法的洪水预报研究——以西江中游流域为例
Lu Xiao,Ming Zhong,Dawei Zha
Lu Xiao
Runoff forecasting is useful for flood early warning and water resource management. In this study, backpropagation (BP) neural network, generalized regression neural network (GRNN), extreme learning machine (ELM), and wavelet neural network...
Representation of Jews and Anti-Jewish Bias in 19th Century French Public Discourse: Distant and Close Reading [0.03%]
19世纪法国公共话语中犹太人的形象和反犹倾向：基于远读和细读的分析
Simon Levis Sullam,Giorgia Minello,Rocco Tripodi et al.
Simon Levis Sullam et al.
We explore through the lens of distant reading the evolution of discourse on Jews in France during the XIX century. We analyze a large textual corpus including heterogeneous sources-literary works, periodicals, songs, essays, historical nar...
Artificial Intelligence Models Do Not Ground Negation, Humans Do. GuessWhat?! Dialogues as a Case Study [0.03%]
基于猜测什么？！对话的研究：人工智能模型不理解否定词的意义，而人类可以
Alberto Testoni,Claudio Greco,Raffaella Bernardi
Alberto Testoni
Negation is widely present in human communication, yet it is largely neglected in the research on conversational agents based on neural network architectures. Cognitive studies show that a supportive visual context makes the processing of n...
BigFiRSt: A Software Program Using Big Data Technique for Mining Simple Sequence Repeats From Large-Scale Sequencing Data [0.03%]
基于大数据技术的用于从大规模测序数据中挖掘简单重复序列的软件程序BigFiRSt
Jinxiang Chen,Fuyi Li,Miao Wang et al.
Jinxiang Chen et al.
Background: Simple Sequence Repeats (SSRs) are short tandem repeats of nucleotide sequences. It has been shown that SSRs are associated with human diseases and are of medical relevance. Accordingly, a variety of computati...
Enrico Capobianco,Jun Deng
Enrico Capobianco
Teng Guo,Xiaomei Bai,Xue Tian et al.
Teng Guo et al.
Anomalies in education affect the personal careers of students and universities' retention rates. Understanding the laws behind educational anomalies promotes the development of individual students and improves the overall quality of educat...