Danilo Bzdok,Denis Engemann,Bertrand Thirion
Danilo Bzdok
In the 20th century, many advances in biological knowledge and evidence-based medicine were supported by p values and accompanying methods. In the early 21st century, ambitions toward precision medicine place a premium on detailed predictio...
Christopher Balzer,Rama Oktavian,Mohammad Zandi et al.
Christopher Balzer et al.
In an age of information, visualizing and discerning meaning from data is as important as its collection. Interactive data visualization addresses both fronts by allowing researchers to explore data beyond what static images can offer. Here...
A Machine Learning-Aided Global Diagnostic and Comparative Tool to Assess Effect of Quarantine Control in COVID-19 Spread [0.03%]
一种机器学习辅助的全球诊断和比较工具，用于评估隔离控制对COVID-19传播的影响
Raj Dandekar,Chris Rackauckas,George Barbastathis
Raj Dandekar
We have developed a globally applicable diagnostic COVID-19 model by augmenting the classical SIR epidemiological model with a neural network module. Our model does not rely upon previous epidemics like SARS/MERS and all parameters are opti...
Erratum: Recommendations for Services in a FAIR Data Ecosystem [0.03%]
“公平”数据生态系统服务推荐的更正endum: 关于“公平”数据生态系统服务推荐
Hylke Koers,Daniel Bangert,Emilie Hermans et al.
Hylke Koers et al.
[This corrects the article DOI: 10.1016/j.patter.2020.100058.]. © 2020 The Authors.
Published Erratum
Patterns (New York, N.Y.). 2020 Sep 11;1(6):100104. DOI:10.1016/j.patter.2020.100104 2020
Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying [0.03%]
利用视觉查询加速科学洞见发现的三大启示
Doris Jung-Lin Lee,Tarique Siddiqui,Karrie Karahalios et al.
Doris Jung-Lin Lee et al.
Exploratory data analysis is a crucial part of data-driven scientific discovery. Yet, the process of discovering insights from visualization can be a manual and painstaking process. This article discusses some of the lessons we learned from...
Sarah Callaghan,Tessa Darbyshire,Sahar Farajnia
Sarah Callaghan
Daniel Leufer
Daniel Leufer
In this piece, Daniel Leufer introduces his project, aimyths.org, a website that tackles eight of the most harmful myths and misconceptions about artificial intelligence. By showing the damage caused by everything from misleading headlines ...
Suw Charman-Anderson
Suw Charman-Anderson
Ada Lovelace's mathematical abilities have been widely questioned due to a misdating of her correspondence with Augustus de Morgan. Despite its correction in the academic record, this error persists in popular depictions of her work, underm...
Sahar Farajnia
Sahar Farajnia
The use of AI algorithms for categorizing medical images has become very popular and critical in the diagnosis of various diseases. Current computer-aided diagnosis (CAD) systems are hugely dependent on good quality, well-annotated data cap...
AI Naturalists Might Hold the Key to Unlocking Biodiversity Data in Social Media Imagery [0.03%]
人工智能专家或许能解锁社交媒体影像中的生物多样性数据
Tom A August,Oliver L Pescott,Alexis Joly et al.
Tom A August et al.
The increasing availability of digital images, coupled with sophisticated artificial intelligence (AI) techniques for image classification, presents an exciting opportunity for biodiversity researchers to create new datasets of species obse...