Authors: Daniela Cisneros, Arnab Hazra, Raphaël Huser
arXiv
Wildfires pose a severe threat to the ecosystem and economy, and risk assessment is typically based on fire danger indices such as the McArthur Forest Fire Danger Index (FFDI) used in Australia. Study...
Authors: Sierra Pugh, Andrew T. Levin, Gideon Meyerowitz-Katz, Satej Soman, Nana Owusu-Boaitey, Anthony B. Zwi, Anup Malani, Ander Wilson, Bailey K. Fosdick
arXiv
The COVID-19 infection fatality rate (IFR) is the proportion of individuals infected with SARS-CoV-2 who subsequently die. As COVID-19 disproportionately affects older individuals, age-specific IFR es...
Authors: Takuya Matsuyama, Kota S Sasaki, Shinji Nishimoto
arXiv
In this paper, we investigated how to build a high-performance vision encoding model to predict brain activity as part of our participation in the Algonauts Project 2023 Challenge. The challenge provi...
Authors: Yonatan Woodbridge, Micha Mandel, Yair Goldberg, Amit Huppert
arXiv
Viral load (VL) in the respiratory tract is the leading proxy for assessing infectiousness potential. Understanding the dynamics of disease-related VL within the host is very important and help to det...
Authors: Daniel Cirkovic, Tiandong Wang
arXiv
Reciprocity, or the tendency of individuals to mirror behavior, is a key measure that describes information exchange in a social network. Users in social networks tend to engage in different levels of...
Authors: Stephen Coombes, Mustafa Sayli, Rüdiger Thul, Rachel Nicks, Mason A Porter, Yi Ming Lai
arXiv
There is enormous interest -- both mathematically and in diverse applications -- in understanding the dynamics of coupled oscillator networks. The real-world motivation of such networks arises from st...
Authors: Peng Huang, Carter T. Butts
arXiv
Motivated by debates about California's net migration loss, we employ valued exponential-family random graph models to analyze the inter-county migration flow networks in the United States. We introdu...
Authors: Matthew J. Madison, Stefanie A Wind, Lientje Maas, Kazuhiro Yamaguchi, Sergio Haab
arXiv
Diagnostic classification models (DCMs) are psychometric models designed to classify examinees according to their proficiency or non-proficiency of specified latent characteristics. These models are w...
Authors: Amy PK Nelson, Joe Mole, Guilherme Pombo, Robert J Gray, James K Ruffle, Edgar Chan, Geraint E Rees, Lisa Cipolotti, Parashkev Nachev
arXiv
The quantification of cognitive powers rests on identifying a behavioural task that depends on them. Such dependence cannot be assured, for the powers a task invokes cannot be experimentally controlle...
Authors: Chan Li, Junbin Qiu, Haiping Huang
arXiv
Large language models based on self-attention mechanisms have achieved astonishing performances not only in natural language itself, but also in a variety of tasks of different nature. However, regard...
Authors: Longfeng Nie, Yuntian Chen, Dongxiao Zhang, Xinyue Liu, Wentian Yuan
arXiv
Global horizontal irradiance (GHI) plays a vital role in estimating solar energy resources, which are used to generate sustainable green energy. In order to estimate GHI with high spatial resolution,...
Authors: Alexey V. Calabourdin, Konstantin A. Aksenov
arXiv
We develop an online learning MCMC approach applicable for hierarchical bayesian models and GLMS. We also develop a fat-tailed LTV model that generalizes over several kinds of fat and thin tails. We d...
Authors: Saint-Clair Chabert-Liddell, Nicolas Bez, Pierre Gloaguen, Sophie Donnet, Stéphanie Mahévas
arXiv
We propose an innovative and generic methodology to analyse individual and collective behaviour through individual trajectory data. The work is motivated by the analysis of GPS trajectories of fishing...
Authors: Alexander G. Ororbia
arXiv
In this survey, we examine algorithms for conducting credit assignment in artificial neural networks that are inspired or motivated by neurobiology. These processes are unified under one possible taxo...
Authors: Keke Long, Haotian Shi, Zhiwei Chen, Zhaohui Liang, Xiaopeng Li, Felipe de Souza
arXiv
The precise estimation of macroscopic traffic parameters, such as travel time and fuel consumption, is essential for the optimization of traffic management systems. Despite its importance, the compreh...