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Machine learning for science and society

Machine learning, 2014-04, Vol.95 (1), p.1-9

2014

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Resource Consumption and Radiation Tolerance Assessment for Data Analysis Algorithms Onboard Spacecraft

IEEE transactions on aerospace and electronic systems, 2022-12, Vol.58 (6), p.5180-5189

2022

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Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions

Data mining and knowledge discovery, 2020-11, Vol.34 (6), p.1642-1675

2020

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A Machine Learning Classifier for Fast Radio Burst Detection at the VLBA

Publications of the Astronomical Society of the Pacific, 2016-08, Vol.128 (966), p.84503

2016

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Toward Generalized Change Detection on Planetary Surfaces With Convolutional Autoencoders and Transfer Learning

IEEE journal of selected topics in applied earth observations and remote sensing, 2019-10, Vol.12 (10), p.3900-3918

2019

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Robotic space exploration agents

Science robotics, 2017-06, Vol.2 (7)

2017

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Machine learning in space: extending our reach

Machine learning, 2011-09, Vol.84 (3), p.335-340

2011

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Automated Classification to Improve the Efficiency of Weeding Library Collections

The Journal of academic librarianship, 2018-03, Vol.44 (2), p.238-247

2018

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Marginalia in the digital age: Are digital reading devices meeting the needs of today's readers?

Library & information science research, 2017-01, Vol.39 (1), p.16-22

2017

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Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact

PLOS digital health, 2024-04, Vol.3 (4), p.e0000474-e0000474

2024

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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

Icarus (New York, N.Y. 1962), 2020-01, Vol.335, p.113420, Article 113420

2020

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VAST: An ASKAP Survey for Variables and Slow Transients

Publications of the Astronomical Society of Australia, 2013, Vol.30, Article e006

2013

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Onboard Autonomy on the Intelligent Payload Experiment CubeSat Mission

Journal of aerospace information systems, 2017-06, Vol.14 (6), p.307-315

2017

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V-FASTR: The VLBA Fast Radio Transients Experiment

The Astrophysical journal, 2011-07, Vol.735 (2), p.97-jQuery1323906554489='48'

2011

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AUTONOMOUS REAL-TIME DETECTION OF PLUMES AND JETS FROM MOONS AND COMETS

The Astrophysical journal, 2014-10, Vol.794 (1), p.1-10

2014

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Integrating Novelty Detection Capabilities with MSL Mastcam Operations to Enhance Data Analysis

2021 IEEE Aerospace Conference (50100), 2021, p.1-8

2021

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Measuring Constraint-Set Utility for Partitional Clustering Algorithms

Knowledge Discovery in Databases: PKDD 2006, 2006, p.115-126

2006

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LIMITS ON FAST RADIO BURSTS FROM FOUR YEARS OF THE V-FASTR EXPERIMENT

The Astrophysical journal, 2016-08, Vol.826 (2), p.223

2016

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COSMIC: Content-based Onboard Summarization to Monitor Infrequent Change

2020 IEEE Aerospace Conference, 2020, p.1-12

2020

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A FRAMEWORK FOR INTERPRETING FAST RADIO TRANSIENTS SEARCH EXPERIMENTS: APPLICATION TO THE V-FASTR EXPERIMENT

The Astrophysical journal, 2013-04, Vol.767 (1), p.1-9

2013

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Detection of Fast Radio Transients with Multiple Stations: A Case Study Using the Very Long Baseline Array

The Astrophysical journal, 2011-07, Vol.735 (2), p.98-jQuery1323906560942='48'

2011

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Characterization of a sulfur-rich Arctic spring site and field analog to Europa using hyperspectral data

Remote sensing of environment, 2010-06, Vol.114 (6), p.1297-1311

2010

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Real-Time Adaptive Event Detection in Astronomical Data Streams

IEEE intelligent systems, 2014-01, Vol.29 (1), p.48-55

2014

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LIMITS ON THE EVENT RATES OF FAST RADIO TRANSIENTS FROM THE V-FASTR EXPERIMENT

Astrophysical journal. Letters, 2012-07, Vol.753 (2), p.1-5

2012

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Domain-Agnostic Outlier Ranking Algorithms—A Configurable Pipeline for Facilitating Outlier Detection in Scientific Datasets

Frontiers in astronomy and space sciences, 2022-05, Vol.9

2022

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Machine learning for science and society

Resource Consumption and Radiation Tolerance Assessment for Data Analysis Algorithms Onboard Spacecraft

Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions

A Machine Learning Classifier for Fast Radio Burst Detection at the VLBA

Toward Generalized Change Detection on Planetary Surfaces With Convolutional Autoencoders and Transfer Learning

Robotic space exploration agents

Machine learning in space: extending our reach

Automated Classification to Improve the Efficiency of Weeding Library Collections

Marginalia in the digital age: Are digital reading devices meeting the needs of today's readers?

Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact

Evaluation of wet and dry recurring slope lineae (RSL) formation mechanisms based on quantitative mapping of RSL in Garni Crater, Valles Marineris, Mars

VAST: An ASKAP Survey for Variables and Slow Transients

Onboard Autonomy on the Intelligent Payload Experiment CubeSat Mission

V-FASTR: The VLBA Fast Radio Transients Experiment

AUTONOMOUS REAL-TIME DETECTION OF PLUMES AND JETS FROM MOONS AND COMETS

Integrating Novelty Detection Capabilities with MSL Mastcam Operations to Enhance Data Analysis

Measuring Constraint-Set Utility for Partitional Clustering Algorithms

LIMITS ON FAST RADIO BURSTS FROM FOUR YEARS OF THE V-FASTR EXPERIMENT

COSMIC: Content-based Onboard Summarization to Monitor Infrequent Change

A FRAMEWORK FOR INTERPRETING FAST RADIO TRANSIENTS SEARCH EXPERIMENTS: APPLICATION TO THE V-FASTR EXPERIMENT

Detection of Fast Radio Transients with Multiple Stations: A Case Study Using the Very Long Baseline Array

Characterization of a sulfur-rich Arctic spring site and field analog to Europa using hyperspectral data

Real-Time Adaptive Event Detection in Astronomical Data Streams

LIMITS ON THE EVENT RATES OF FAST RADIO TRANSIENTS FROM THE V-FASTR EXPERIMENT

Domain-Agnostic Outlier Ranking Algorithms—A Configurable Pipeline for Facilitating Outlier Detection in Scientific Datasets

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