Publications
Explore 709 academic publications
Analysis of Longitudinal Data
1. Introduction 2. Design considerations 3. Exploring longitudinal data 4. General linear models 5. Parametric models for covariance structure 6. Analysis of variance methods 7....
Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
Suppose we are given a vector f in a class F ⊂ ℝN, e.g., a class of digital signals or digital images. How many linear measurements do we need to make about f to be able to reco...
The IntCal20 Northern Hemisphere Radiocarbon Age Calibration Curve (0–55 cal kBP)
ABSTRACT Radiocarbon ( 14 C) ages cannot provide absolutely dated chronologies for archaeological or paleoenvironmental studies directly but must be converted to calendar age eq...
The Astropy Project: Building an Open-science Project and Status of the v2.0 Core Package<sup>*</sup>
Abstract The Astropy Project supports and fosters the development of open-source and openly developed Python packages that provide commonly needed functionality to the astronomi...
The socio-economic implications of the coronavirus pandemic (COVID-19): A review
The COVID-19 pandemic has resulted in over 4.3 million confirmed cases and over 290,000 deaths globally. It has also sparked fears of an impending economic crisis and recession....
Cascade R-CNN: Delving Into High Quality Object Detection
In object detection, an intersection over union (IoU) threshold is required to define positives and negatives. An object detector, trained with low IoU threshold, e.g. 0.5, usua...
Helplessness: On Depression, Development, and Death
Overview - depression, golden girl, anxiety and unpredictability, childhood failure, sudden psychosomatic death controllability - voluntary responding, response independence and...
Dapagliflozin in Patients with Heart Failure and Reduced Ejection Fraction
BACKGROUND In patients with type 2 diabetes, inhibitors of sodium-glucose cotransporter 2 (SGLT2) reduce the risk of a first hospitalization for heart failure, possibly through ...
Dynamic Graph CNN for Learning on Point Clouds
Point clouds provide a flexible geometric representation suitable for countless applications in computer graphics; they also comprise the raw output of most 3D data acquisition ...