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Human-AI Collaboration in Data Science [PDF]

open access: yesProceedings of the ACM on Human-Computer Interaction, 2019
The rapid advancement of artificial intelligence (AI) is changing our lives in many ways. One application domain is data science. New techniques in automating the creation of AI, known as AutoAI or AutoML, aim to automate the work practices of data scientists. AutoAI systems are capable of autonomously ingesting and pre-processing data, engineering new
Dakuo Wang   +8 more
openaire   +2 more sources

The Piraeus AIS dataset for large-scale maritime data analytics

open access: yesData in Brief, 2022
The advent of Big Data and streaming technologies has resulted in a swarm of voluminous, heterogeneous information, especially in the domains of Internet of Things (IoT) and transportation.
Andreas Tritsarolis   +2 more
doaj   +1 more source

Acute neuroinflammation induces AIS structural plasticity in a NOX2-dependent manner [PDF]

open access: yes, 2017
Background Chronic microglia-mediated inflammation and oxidative stress are well-characterized underlying factors in neurodegenerative disease, whereby reactive inflammatory microglia enhance ROS production and impact neuronal integrity. Recently, it has
Benusa, S. D.   +4 more
core   +1 more source

Abnormal Ship Behavior Detection Based on AIS Data

open access: yesApplied Sciences, 2022
With the development of navigation globalization and ship dehumanization, the contradiction between the increasing demand for ship behavior supervision and limited traffic service resources is obvious, and the frequent occurrence of accidents at sea is a
Yan Shi   +3 more
doaj   +1 more source

Integrative analyses identify modulators of response to neoadjuvant aromatase inhibitors in patients with early breast cancer [PDF]

open access: yes, 2015
Introduction Aromatase inhibitors (AIs) are a vital component of estrogen receptor positive (ER+) breast cancer treatment. De novo and acquired resistance, however, is common.
A Mackay   +65 more
core   +3 more sources

AIS Data Vulnerability Indicated by a Spoofing Case-Study

open access: yesApplied Sciences, 2021
This paper takes a close look at the landscape of the Automatic Identification System (AIS) as a major source of information for maritime situational awareness (MSA) and identifies its vulnerabilities and challenges for safe navigation and shipping.
Andrej Androjna   +3 more
doaj   +1 more source

Mineralogical Mapping in the Cuprite Mining District, Nevada [PDF]

open access: yes, 1985
The airborne imaging spectrometer (AIS) has provided for the first time, the possibility to map mineralogical constituents in the Earth's surface and thus has enormously increased the value of remote-sensing data as a tool in the solution of geologic ...
Goetz, A. F. H., Srivastava, V.
core   +1 more source

Trauma Early Mortality Prediction Tool (TEMPT) for assessing 28-day mortality. [PDF]

open access: yes, 2018
Background:Prior mortality prediction models have incorporated severity of anatomic injury quantified by Abbreviated Injury Severity Score (AIS). Using a prospective cohort, a new score independent of AIS was developed using clinical and laboratory ...
Callcut, Rachael A   +3 more
core   +1 more source

Long-Term Trajectory Prediction for Oil Tankers via Grid-Based Clustering

open access: yesJournal of Marine Science and Engineering, 2023
Vessel trajectory prediction is an important step in route planning, which could help improve the efficiency of maritime transportation. In this article, a high-accuracy long-term trajectory prediction algorithm is proposed for oil tankers.
Xuhang Xu   +4 more
doaj   +1 more source

Urban, Forest, and Agricultural AIS Data: Fine Spectral Structure [PDF]

open access: yes, 1985
Spectra acquired by the Airborne Imaging Spectrometer (AIS) near Lafayette, IN, Ely, MN, and over the Stanford University campus, CA were analyzed for fine spectral structure using two techniques: the ratio of radiance of a ground target to the radiance ...
Vanderbilt, V. C.
core   +1 more source

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