Search Results - "Wagstaff, Kiri L."
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Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact
Published in PLOS digital health (01-04-2024)“…Despite significant technical advances in machine learning (ML) over the past several years, the tangible impact of this technology in healthcare has been…”
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Machine learning for science and society
Published in Machine learning (01-04-2014)“…The special issue on “Machine Learning for Science and Society” showcases machine learning work with influence on our current and future society. These papers…”
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Resource Consumption and Radiation Tolerance Assessment for Data Analysis Algorithms Onboard Spacecraft
Published in IEEE transactions on aerospace and electronic systems (01-12-2022)“…Spacecraft operating at great distances experience limited data bandwidth and high latency for communication with Earth. Data analysis algorithms that operate…”
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Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions
Published in Data mining and knowledge discovery (01-11-2020)“…Science teams for rover-based planetary exploration missions like the Mars Science Laboratory Curiosity rover have limited time for analyzing new data before…”
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Evaluation of wet and dry recurring slope lineae (RSL) formation mechanisms based on quantitative mapping of RSL in Garni Crater, Valles Marineris, Mars
Published in Icarus (New York, N.Y. 1962) (01-01-2020)“…Recurring slope lineae (RSL) are narrow (0.5–5 m) low-albedo features that incrementally lengthen down steep slopes during warm seasons, fade in colder…”
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A Machine Learning Classifier for Fast Radio Burst Detection at the VLBA
Published in Publications of the Astronomical Society of the Pacific (01-08-2016)“…Time domain radio astronomy observing campaigns frequently generate large volumes of data. Our goal is to develop automated methods that can identify events of…”
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Toward Generalized Change Detection on Planetary Surfaces With Convolutional Autoencoders and Transfer Learning
Published in IEEE journal of selected topics in applied earth observations and remote sensing (01-10-2019)“…Ongoing planetary exploration missions are returning large volumes of image data. Identifying surface changes in these images, e.g., new impact craters, is…”
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Machine learning in space: extending our reach
Published in Machine learning (01-09-2011)“…We introduce the challenge of using machine learning effectively in space applications and motivate the domain for future researchers. Machine learning can be…”
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Automated Classification to Improve the Efficiency of Weeding Library Collections
Published in The Journal of academic librarianship (01-03-2018)“…Previous studies have shown that weeding a library collection benefits patrons and increases circulation rates. However, the time required to review the…”
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Marginalia in the digital age: Are digital reading devices meeting the needs of today's readers?
Published in Library & information science research (01-01-2017)“…For centuries, readers have added marginal commentary to books for a variety of personal and public purposes. Historians have mined the marginalia of important…”
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LIMITS ON FAST RADIO BURSTS FROM FOUR YEARS OF THE V-FASTR EXPERIMENT
Published in The Astrophysical journal (01-08-2016)“…ABSTRACT The V-FASTR experiment on the Very Long Baseline Array was designed to detect dispersed pulses of milliseconds in duration, such as fast radio bursts…”
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V-FASTR: The VLBA Fast Radio Transients Experiment
Published in The Astrophysical journal (10-07-2011)“…Recent discoveries of dispersed, non-periodic impulsive radio signals with single-dish radio telescopes have sparked significant interest in exploring the…”
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AUTONOMOUS REAL-TIME DETECTION OF PLUMES AND JETS FROM MOONS AND COMETS
Published in The Astrophysical journal (10-10-2014)“…Dynamic activity on the surface of distant moons, asteroids, and comets can manifest as jets or plumes. These phenomena provide information about the interior…”
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Integrating Novelty Detection Capabilities with MSL Mastcam Operations to Enhance Data Analysis
Published in 2021 IEEE Aerospace Conference (50100) (06-03-2021)“…While innovations in scientific instrumentation have pushed the boundaries of Mars rover mission capabilities, the increase in data complexity has pressured…”
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Conference Proceeding -
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Domain-Agnostic Outlier Ranking Algorithms—A Configurable Pipeline for Facilitating Outlier Detection in Scientific Datasets
Published in Frontiers in astronomy and space sciences (10-05-2022)“…Automatic detection of outliers is universally needed when working with scientific datasets, e.g., for cleaning datasets or flagging novel samples to guide…”
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COSMIC: Content-based Onboard Summarization to Monitor Infrequent Change
Published in 2020 IEEE Aerospace Conference (01-03-2020)“…Interplanetary exploration occurs at vast distances that severely limit communication bandwidth to spacecraft exploring other planets. It is possible to…”
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Conference Proceeding -
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A FRAMEWORK FOR INTERPRETING FAST RADIO TRANSIENTS SEARCH EXPERIMENTS: APPLICATION TO THE V-FASTR EXPERIMENT
Published in The Astrophysical journal (10-04-2013)“…We define a framework for determining constraints on the detection rate of fast transient events from a population of underlying sources, with a view to…”
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Detection of Fast Radio Transients with Multiple Stations: A Case Study Using the Very Long Baseline Array
Published in The Astrophysical journal (10-07-2011)“…Recent investigations reveal an important new class of transient radio phenomena that occur on submillisecond timescales. Often, transient surveys' data…”
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Characterization of a sulfur-rich Arctic spring site and field analog to Europa using hyperspectral data
Published in Remote sensing of environment (15-06-2010)“…A unique glacial spring system exists at Borup Fiord pass, in the Canadian High Arctic, emerging from a glacial surface and depositing elemental sulfur, gypsum…”
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Real-Time Adaptive Event Detection in Astronomical Data Streams
Published in IEEE intelligent systems (01-01-2014)“…A new generation of observational science instruments is dramatically increasing collected data volumes in a range of fields. These instruments include the…”
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