Authors: Shi Dong, Zlatan Feric, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer Dy, John Meeker, Ingrid Y. Padilla, Jose Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh, David Kaeli
arXiv
In this paper, we propose Ensemble Learning models to identify factors contributing to preterm birth. Our work leverages a rich dataset collected by a NIEHS P42 Center that is trying to identify the d...
Authors: Weijian Luo, Yongxian Long
arXiv
A vital problem in solving classification or regression problem is to apply feature engineering and variable selection on data before fed into models.One of a most popular feature engineering method i...
Authors: Fan Yin, Guanyu Hu, Weining Shen
arXiv
We propose a Bayesian nonparametric matrix clustering approach to analyze the latent heterogeneity structure in the shot selection data collected from professional basketball players in the National B...
Authors: Paul Y. Wang, Sandalika Sapra, Vivek Kurien George, Gabriel A. Silva
arXiv
Although a number of studies have explored deep learning in neuroscience, the application of these algorithms to neural systems on a microscopic scale, i.e. parameters relevant to lower scales of orga...
Authors: Robert Geirhos, Kantharaju Narayanappa, Benjamin Mitzkus, Matthias Bethge, Felix A. Wichmann, Wieland Brendel
arXiv
How do humans learn to acquire a powerful, flexible and robust representation of objects? While much of this process remains unknown, it is clear that humans do not require millions of object labels....
Authors: Aditya Mishra, Dipak K. Dey, Yong Chen, Kun Chen
arXiv
Multivariate regression techniques are commonly applied to explore the associations between large numbers of outcomes and predictors. In real-world applications, the outcomes are often of mixed types,...
Authors: Chaitanya K. Ryali, John J. Hopfield, Leopold Grinberg, Dmitry Krotov
arXiv
The fruit fly Drosophila's olfactory circuit has inspired a new locality sensitive hashing (LSH) algorithm, FlyHash. In contrast with classical LSH algorithms that produce low dimensional hash codes,...
Authors: Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
arXiv
The backpropagation algorithm is an invaluable tool for training artificial neural networks; however, because of a weight sharing requirement, it does not provide a plausible model of brain function....
Authors: Hana Saoud, Duco De Beus, Severine Eybrard, Alain Louilot
arXiv
For almost two decades schizophrenia has been considered to be a functional disconnection disorder. This functional disconnectivity between several brain regions could have a neurodevelopmental origin...
Authors: Luk R. Arnaut
arXiv
The excess power, energy and intensity of a random electromagnetic field above a high threshold level are characterized based on a Slepian--Kac model for upcrossings. For quasi-static fields, the prob...
Authors: Yan-Cheng Chao, Thomas M. Braun, Roy N. Tamura, Kelley M. Kidwell
arXiv
A small n, sequential, multiple assignment, randomized trial (snSMART) is a small sample, two-stage design where participants receive up to two treatments sequentially, but the second treatment depend...
Authors: David C. Norris
arXiv
If explicit, formal consideration of clinical pharmacology at all informs the design and conduct of modern oncology dose-finding trials, the designs themselves hardly attest to this. Yet in conducting...
Authors: Chance Haycock, Edward Thorpe-Woods, James Walsh, Patrick O'Hara, Oscar Giles, Neil Dhir, Theodoros Damoulas
arXiv
One of the Greater London Authority's (GLA) response to the COVID-19 pandemic brings together multiple large-scale and heterogeneous datasets capturing mobility, transportation and traffic activity ov...
Authors: Birgitta Dresp-Langley, Adam Reeves
arXiv
Victor Vasarely (1906-1997)and his important legacy to the study of human perception are brought to the forefront and discussed. A large part of his impressive work conveys the appearance of striking...
Authors: Hyun Jin Jang, Kiseop Lee, Kyungsub Lee
arXiv
We propose the Hawkes flocking model that assesses systemic risk in high-frequency processes at the two perspectives -- endogeneity and interactivity. We examine the futures markets of WTI crude oil a...