Authors: Joaquin Salas, Anamitra Saha, Sai Ravela
arXiv
Flooding is one of the most disastrous natural hazards, responsible for substantial economic losses. A predictive model for flood-induced financial damages is useful for many applications such as clim...
Authors: Baode Gao, Guangpeng Zhan, Hanzhang Wang, Yiming Wang, Shengxin Zhu
arXiv
Accurate prediction of users' responses to items is one of the main aims of many computational advising applications. Examples include recommending movies, news articles, songs, jobs, clothes, books a...
Authors: Janith C. Wanniarachchi, Thiyanga S. Talagala
arXiv
Traditional synthetic data generation methods rely on model-based approaches that tune the parameters of a model rather than focusing on the structure of the data itself. In contrast, Scagnostics is a...
Authors: Benjamin Yost Hayden
arXiv
The parcellation of the primate cerebral cortex into numbered regions, based on cytoarchitecture, began with the pioneering research of neuroanatomist Kobrinian Brodmann. While the borders between reg...
Authors: Kaidi Shao, Nikos K. Logothetis, Michel Besserve
arXiv
Transient phenomena play a key role in coordinating brain activity at multiple scales, however,their underlying mechanisms remain largely unknown. A key challenge for neural data science is thus to ch...
Authors: Ted Moskovitz, Kevin Miller, Maneesh Sahani, Matthew M. Botvinick
arXiv
Dual-process theories play a central role in both psychology and neuroscience, figuring prominently in fields ranging from executive control to reward-based learning to judgment and decision making. I...
Authors: Umut Altay, John Paige, Andrea Riebler, Geir-Arne Fuglstad
arXiv
Fine-scale covariate rasters are routinely used in geostatistical models for mapping demographic and health indicators based on household surveys from the Demographic and Health Surveys (DHS) program....
Authors: Andrew Hannum, Mario A. Lopez, Saúl A. Blanco, Richard F. Betzel
arXiv
The human brain is a complex network comprised of functionally and anatomically interconnected brain regions. A growing number of studies have suggested that empirical estimates of brain networks may...
Authors: Francesco Finazzi, Frank Yannick Massoda Tchoussi
arXiv
Smartphone-based earthquake early warning systems implemented by citizen science initiatives are characterized by a significant variability in their smartphone network geometry. This has an direct imp...
Authors: Alison C Hale, Christopher P Jewell
arXiv
An approach is introduced for comparing the estimated states of stochastic compartmental models for an epidemic or biological process with analytically obtained solutions from the corresponding system...
Authors: Natalya Weber, Werner Koch, Tom Froese
arXiv
The Self-Optimization (SO) model is a useful computational model for investigating self-organization in "soft" Artificial life (ALife) as it has been shown to be general enough to model various comple...
Authors: P Supriya Patro, Tripti Goel, S A VaraPrasad, M Tanveer, R Murugan
arXiv
Structural alterations have been thoroughly investigated in the brain during the early onset of schizophrenia (SCZ) with the development of neuroimaging methods. The objective of the paper is an effic...
Authors: Paul Lartaud, Philippe Humbert, Josselin Garnier
arXiv
In a fissile material, the inherent multiplicity of neutrons born through induced fissions leads to correlations in their detection statistics. The correlations between neutrons can be used to trace b...
Authors: Alain-Philippe Fortin, Patrick Gagliardini, Olivier Scaillet
arXiv
This paper studies new tests for the number of latent factors in a large cross-sectional factor model with small time dimension. These tests are based on the eigenvalues of variance-covariance matrice...
Authors: Daniel Fink, Alison Johnston, Matt Strimas-Mackey, Tom Auer, Wesley M. Hochachka, Shawn Ligocki, Lauren Oldham Jaromczyk, Orin Robinson, Chris Wood, Steve Kelling, Amanda D. Rodewald
arXiv
1. Citizen and community-science (CS) datasets have great potential for estimating interannual patterns of population change given the large volumes of data collected globally every year. Yet, the fle...