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1
The Automatic Learning for the Rapid Classification of Events (ALeRCE) Alert Broker
The Automatic Learning for the Rapid Classification of Events (ALeRCE) Alert Broker
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The Automatic Learning for the Rapid Classification of Events (ALeRCE) Alert Broker

The Astronomical journal, 2021-05, Vol.161 (5), p.242 [Peer Reviewed Journal]

2021. The American Astronomical Society. All rights reserved. ;Copyright IOP Publishing May 2021 ;ISSN: 0004-6256 ;EISSN: 1538-3881 ;DOI: 10.3847/1538-3881/abe9bc

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2
Avocado: Photometric Classification of Astronomical Transients with Gaussian Process Augmentation
Avocado: Photometric Classification of Astronomical Transients with Gaussian Process Augmentation
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Avocado: Photometric Classification of Astronomical Transients with Gaussian Process Augmentation

The Astronomical journal, 2019-12, Vol.158 (6), p.257 [Peer Reviewed Journal]

2019. The American Astronomical Society. All rights reserved. ;Copyright IOP Publishing Dec 2019 ;ISSN: 0004-6256 ;ISSN: 1538-3881 ;EISSN: 1538-3881 ;DOI: 10.3847/1538-3881/ab5182

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3
Alert Classification for the ALeRCE Broker System: The Real-time Stamp Classifier
Alert Classification for the ALeRCE Broker System: The Real-time Stamp Classifier
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Alert Classification for the ALeRCE Broker System: The Real-time Stamp Classifier

The Astronomical journal, 2021-12, Vol.162 (6), p.231 [Peer Reviewed Journal]

2021. The American Astronomical Society. All rights reserved. ;Copyright IOP Publishing Dec 2021 ;ISSN: 0004-6256 ;EISSN: 1538-3881 ;DOI: 10.3847/1538-3881/ac0ef1

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4
Alert Classification for the ALeRCE Broker System: The Light Curve Classifier
Alert Classification for the ALeRCE Broker System: The Light Curve Classifier
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Alert Classification for the ALeRCE Broker System: The Light Curve Classifier

The Astronomical journal, 2021-03, Vol.161 (3), p.141 [Peer Reviewed Journal]

Copyright IOP Publishing Mar 2021 ;ISSN: 0004-6256 ;ISSN: 1538-3881 ;EISSN: 1538-3881 ;DOI: 10.3847/1538-3881/abd5c1

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5
Incorporating Measurement Error in Astronomical Object Classification
Incorporating Measurement Error in Astronomical Object Classification
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Incorporating Measurement Error in Astronomical Object Classification

The Astronomical journal, 2022-07, Vol.164 (1), p.6 [Peer Reviewed Journal]

2022. The Author(s). Published by the American Astronomical Society. ;2022. The Author(s). Published by the American Astronomical Society. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0004-6256 ;EISSN: 1538-3881 ;DOI: 10.3847/1538-3881/ac6e64

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6
Multiplicity Boost of Transit Signal Classifiers: Validation of 69 New Exoplanets using the Multiplicity Boost of ExoMiner
Multiplicity Boost of Transit Signal Classifiers: Validation of 69 New Exoplanets using the Multiplicity Boost of ExoMiner
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Multiplicity Boost of Transit Signal Classifiers: Validation of 69 New Exoplanets using the Multiplicity Boost of ExoMiner

The Astronomical journal, 2023-07, Vol.166 (1), p.28 [Peer Reviewed Journal]

2023. The Author(s). Published by the American Astronomical Society. ;2023. The Author(s). Published by the American Astronomical Society. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0004-6256 ;EISSN: 1538-3881 ;DOI: 10.3847/1538-3881/acd344

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7
Applying Deep Learning to Fast Radio Burst Classification
Applying Deep Learning to Fast Radio Burst Classification
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Applying Deep Learning to Fast Radio Burst Classification

The Astronomical journal, 2018-12, Vol.156 (6), p.256 [Peer Reviewed Journal]

2018. The American Astronomical Society. All rights reserved. ;Copyright IOP Publishing Dec 2018 ;ISSN: 0004-6256 ;EISSN: 1538-3881 ;DOI: 10.3847/1538-3881/aae649

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8
The High Cadence Transit Survey (HiTS): Compilation and Characterization of Light-curve Catalogs
The High Cadence Transit Survey (HiTS): Compilation and Characterization of Light-curve Catalogs
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The High Cadence Transit Survey (HiTS): Compilation and Characterization of Light-curve Catalogs

The Astronomical journal, 2018-11, Vol.156 (5), p.186 [Peer Reviewed Journal]

2018. The American Astronomical Society. All rights reserved. ;Copyright IOP Publishing Nov 2018 ;ISSN: 0004-6256 ;EISSN: 1538-3881 ;DOI: 10.3847/1538-3881/aadfd8

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9
KEPLER ECLIPSING BINARY STARS. III. CLASSIFICATION OF KEPLER ECLIPSING BINARY LIGHT CURVES WITH LOCALLY LINEAR EMBEDDING
KEPLER ECLIPSING BINARY STARS. III. CLASSIFICATION OF KEPLER ECLIPSING BINARY LIGHT CURVES WITH LOCALLY LINEAR EMBEDDING
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KEPLER ECLIPSING BINARY STARS. III. CLASSIFICATION OF KEPLER ECLIPSING BINARY LIGHT CURVES WITH LOCALLY LINEAR EMBEDDING

The Astronomical journal, 2012-05, Vol.143 (5), p.1-6 [Peer Reviewed Journal]

ISSN: 0004-6256 ;ISSN: 1538-3881 ;EISSN: 1538-3881 ;DOI: 10.1088/0004-6256/143/5/123

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10
DIAmante TESS AutoRegressive Planet Search (DTARPS). I. Analysis of 0.9 Million Light Curves
DIAmante TESS AutoRegressive Planet Search (DTARPS). I. Analysis of 0.9 Million Light Curves
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DIAmante TESS AutoRegressive Planet Search (DTARPS). I. Analysis of 0.9 Million Light Curves

The Astronomical journal, 2024-05, Vol.167 (5), p.202 [Peer Reviewed Journal]

2024. The Author(s). Published by the American Astronomical Society. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0004-6256 ;EISSN: 1538-3881 ;DOI: 10.3847/1538-3881/ad29f0

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11
Machine-learning Morphological Classification of TESS Light Curves of T Tauri Stars
Machine-learning Morphological Classification of TESS Light Curves of T Tauri Stars
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Machine-learning Morphological Classification of TESS Light Curves of T Tauri Stars

The Astronomical journal, 2023-11, Vol.166 (5), p.189 [Peer Reviewed Journal]

2023. The Author(s). Published by the American Astronomical Society. ;2023. The Author(s). Published by the American Astronomical Society. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0004-6256 ;EISSN: 1538-3881 ;DOI: 10.3847/1538-3881/acf865

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12
The M33 Synoptic Stellar Survey. II. Mira Variables
The M33 Synoptic Stellar Survey. II. Mira Variables
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The M33 Synoptic Stellar Survey. II. Mira Variables

The Astronomical journal, 2017-04, Vol.153 (4), p.170-170 [Peer Reviewed Journal]

2017. The American Astronomical Society. All rights reserved. ;ISSN: 0004-6256 ;ISSN: 1538-3881 ;EISSN: 1538-3881 ;DOI: 10.3847/1538-3881/aa63f1

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13
AUTOMATED CLASSIFICATION OF PERIODIC VARIABLE STARS DETECTED BY THE WIDE-FIELD INFRARED SURVEY EXPLORER
AUTOMATED CLASSIFICATION OF PERIODIC VARIABLE STARS DETECTED BY THE WIDE-FIELD INFRARED SURVEY EXPLORER
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AUTOMATED CLASSIFICATION OF PERIODIC VARIABLE STARS DETECTED BY THE WIDE-FIELD INFRARED SURVEY EXPLORER

The Astronomical journal, 2014-07, Vol.148 (1), p.1-21 [Peer Reviewed Journal]

ISSN: 0004-6256 ;ISSN: 1538-3881 ;EISSN: 1538-3881 ;DOI: 10.1088/0004-6256/148/1/21

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14
A Random Forest Approach to Identifying Young Stellar Object Candidates in the Lupus Star-forming Region
A Random Forest Approach to Identifying Young Stellar Object Candidates in the Lupus Star-forming Region
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A Random Forest Approach to Identifying Young Stellar Object Candidates in the Lupus Star-forming Region

The Astronomical journal, 2020-05, Vol.159 (5), p.200 [Peer Reviewed Journal]

2020. The American Astronomical Society. All rights reserved. ;Copyright IOP Publishing May 2020 ;ISSN: 0004-6256 ;ISSN: 1538-3881 ;EISSN: 1538-3881 ;DOI: 10.3847/1538-3881/ab72ac

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15
AN EXPERT COMPUTER PROGRAM FOR CLASSIFYING STARS ON THE MK SPECTRAL CLASSIFICATION SYSTEM
AN EXPERT COMPUTER PROGRAM FOR CLASSIFYING STARS ON THE MK SPECTRAL CLASSIFICATION SYSTEM
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AN EXPERT COMPUTER PROGRAM FOR CLASSIFYING STARS ON THE MK SPECTRAL CLASSIFICATION SYSTEM

The Astronomical journal, 2014-04, Vol.147 (4), p.1-7 [Peer Reviewed Journal]

ISSN: 0004-6256 ;ISSN: 1538-3881 ;EISSN: 1538-3881 ;DOI: 10.1088/0004-6256/147/4/80

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16
Morphological-based Classifications of Radio Galaxies Using Supervised Machine-learning Methods Associated with Image Moments
Morphological-based Classifications of Radio Galaxies Using Supervised Machine-learning Methods Associated with Image Moments
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Morphological-based Classifications of Radio Galaxies Using Supervised Machine-learning Methods Associated with Image Moments

The Astronomical journal, 2021-02, Vol.161 (2), p.94 [Peer Reviewed Journal]

Copyright IOP Publishing Feb 2021 ;ISSN: 0004-6256 ;EISSN: 1538-3881 ;DOI: 10.3847/1538-3881/abd314

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17
Uncertain Classification of Variable Stars: Handling Observational GAPS and Noise
Uncertain Classification of Variable Stars: Handling Observational GAPS and Noise
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Uncertain Classification of Variable Stars: Handling Observational GAPS and Noise

The Astronomical journal, 2018-01, Vol.155 (1), p.16 [Peer Reviewed Journal]

2017. The American Astronomical Society. All rights reserved. ;Copyright IOP Publishing Jan 2018 ;ISSN: 0004-6256 ;EISSN: 1538-3881 ;DOI: 10.3847/1538-3881/aa9ab8

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18
Automated Morgan Keenan Classification of Observed Stellar Spectra Collected by the Sloan Digital Sky Survey Using a Single Classifier
Automated Morgan Keenan Classification of Observed Stellar Spectra Collected by the Sloan Digital Sky Survey Using a Single Classifier
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Automated Morgan Keenan Classification of Observed Stellar Spectra Collected by the Sloan Digital Sky Survey Using a Single Classifier

The Astronomical journal, 2019-11, Vol.158 (5), p.188 [Peer Reviewed Journal]

Copyright IOP Publishing Nov 2019 ;ISSN: 1538-3881 ;ISSN: 0004-6256 ;EISSN: 1538-3881 ;DOI: 10.3847/1538-3881/ab40d0

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19
Searching for Low-mass Population III Stars Disguised as White Dwarfs
Searching for Low-mass Population III Stars Disguised as White Dwarfs
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Searching for Low-mass Population III Stars Disguised as White Dwarfs

The Astronomical journal, 2021-04, Vol.161 (4), p.197 [Peer Reviewed Journal]

Copyright IOP Publishing Apr 2021 ;ISSN: 0004-6256 ;ISSN: 1538-3881 ;EISSN: 1538-3881 ;DOI: 10.3847/1538-3881/abe535

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20
THE EB FACTORY PROJECT. I. A FAST, NEURAL-NET-BASED, GENERAL PURPOSE LIGHT CURVE CLASSIFIER OPTIMIZED FOR ECLIPSING BINARIES
THE EB FACTORY PROJECT. I. A FAST, NEURAL-NET-BASED, GENERAL PURPOSE LIGHT CURVE CLASSIFIER OPTIMIZED FOR ECLIPSING BINARIES
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THE EB FACTORY PROJECT. I. A FAST, NEURAL-NET-BASED, GENERAL PURPOSE LIGHT CURVE CLASSIFIER OPTIMIZED FOR ECLIPSING BINARIES

The Astronomical journal, 2014-08, Vol.148 (2), p.1-16 [Peer Reviewed Journal]

ISSN: 0004-6256 ;ISSN: 1538-3881 ;EISSN: 1538-3881 ;DOI: 10.1088/0004-6256/148/2/31

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