Fetching the paper…
Reading the bibliography…
Machine learning (automated processes that learn by example in order to classify, predict, discover or generate new data) and artificial intelligence (methods by which a computer makes decisions or discoveries that would usually require human intelligence) are now firmly established in astronomy.
The Perceptron-a perceiving and recognizing automaton
Frank Rosenblatt · 1957
Earlier work this paper cites.
Information problems in astrophysics
Carlos Jaschek · 1968
Earlier work this paper cites.
METAPHOR: a machine-learning-based method for the probability density estimation of photometric redshifts
S. Cavuoti, V. Amaro, M. Brescia, C. Vellucci, C. Tortora, and G. Longo · 1973
Earlier work this paper cites.
Data Growth in Astronomy
C. Jaschek · 1978
Earlier work this paper cites.
Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
Kunihiko Fukushima · 1980
Earlier work this paper cites.
An objective classification system for spiral galaxies. I. The two dominant dimensions
B. C. Whitmore · 1984
Earlier work this paper cites.
The Increasing Importance of Statistical Methods in Astronomy
A. Heck, F. Murtagh, and D. Ponz · 1985
Earlier work this paper cites.
Optical multicolors : a poor person’s Z machine for galaxies
D. C. Koo · 1985
Earlier work this paper cites.
Induction of decision trees
J. R. Quinlan · 1986
Earlier work this paper cites.
Applying artificial intelligence to astronomical databases - a surveyof applicable technology
D. A. Rosenthal · 1988
Earlier work this paper cites.
Backpropagation Applied to Handwritten Zip Code Recognition
Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel · 1989
Earlier work this paper cites.
Adaptive optics for array telescopes using neural-network techniques
J. R. P. Angel, P. Wizinowich, M. Lloyd-Hart, and D. Sandler · 1990
Earlier work this paper cites.
The self-organizing map
T. Kohonen · 1990
Earlier work this paper cites.
Transforming Neural-Net Output Levels to Probability Distributions
John Denker and Yann Lecun · 1991
Earlier work this paper cites.
An Objective Classification Scheme for QSO Spectra
Paul J. Francis, Paul C. Hewett, Craig B. Foltz, and Frederic H. Chaffee · 1992
Earlier work this paper cites.
Automated Star/Galaxy Discrimination With Neural Networks
S. C. Odewahn, E. B. Stockwell, R. L. Pennington, R. M. Humphreys, and W. A. Zumach · 1992
Earlier work this paper cites.
Morphological Classification of galaxies by Artificial Neural Networks
M. C. Storrie-Lombardi, O. Lahav, L. Sodré, and L. J. Storrie-Lombardi · 1992
Earlier work this paper cites.
Support-vector networks
Corinna Cortes and Vladimir Vapnik · 1995
Earlier work this paper cites.
A desicion-theoretic generalization of on-line learning and an application to boosting
Yoav Freund and Robert E. Schapire · 1995
Earlier work this paper cites.
Random decision forests
Ho, T.K · 1995
Earlier work this paper cites.
The SKICAT System for Processing and Analyzing Digital Imaging Sky Surveys
Nicholas Weir, Usama M. Fayyad, S. G. Djorgovski, and Joseph Roden · 1995
Earlier work this paper cites.
SExtractor: Software for source extraction
E. Bertin and S. Arnouts · 1996
Earlier work this paper cites.
Bagging predictors
Leo Breiman · 1996
Earlier work this paper cites.
From data mining to knowledge discovery in databases
U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth · 1996
Earlier work this paper cites.
Neural computation as a tool for galaxy classification: Methods and examples
O. Lahav, A. Nairn, L. Sodré, and M. C. Storrie-Lombardi · 1996
Earlier work this paper cites.
Using oblique decision trees for the morphological classification of galaxies
E. A. Owens, R. E. Griffiths, and K. U. Ratnatunga · 1996
Earlier work this paper cites.
Automated Morphological Classification of Galaxies and the Morphology-Density Relation
J. R. Kriessler, E. H. Han, S. C. Odewahn, and T. C. Beers · 1998
Earlier work this paper cites.
Stellar spectral classification using principal component analysis and artificial neural networks
Harinder P. Singh, Ravi K. Gulati, and Ranjan Gupta · 1998
Earlier work this paper cites.
Overview - Photometric Redshifts: A Perspective from an Old-Timer[!] on their Past, Present, and Potential
D. C. Koo · 1999
Earlier work this paper cites.
Photometric redshifts based on standard SED fitting procedures
M. Bolzonella, J. M. Miralles, and R. Pelló · 2000
Earlier work this paper cites.
The NASA Astrophysics Data System: Overview
Michael J. Kurtz, Guenther Eichhorn, Alberto Accomazzi, Carolyn S. Grant, Stephen S. Murray, and Joyce M. Watson · 2000
Earlier work this paper cites.
The Sloan Digital Sky Survey: Technical Summary
Donald G. York and et al · 2000
Earlier work this paper cites.
Random Forests
Leo Breiman · 2001
Earlier work this paper cites.
Greedy Function Approximation: A Gradient Boosting Machine
Jerome H. Friedman · 2001
Earlier work this paper cites.
Massive Datasets in Astronomy , pages 931–979
Robert J. Brunner, S. George Djorgovski, Thomas A. Prince, and Alex S. Szalay · 2002
Earlier work this paper cites.
Sloan Digital Sky Survey: Early Data Release
Chris Stoughton and et al · 2002
Earlier work this paper cites.
Estimating photometric redshifts with artificial neural networks
Andrew E. Firth, Ofer Lahav, and Rachel S. Somerville · 2003
Earlier work this paper cites.
Galaxy types in the Sloan Digital Sky Survey using supervised artificial neural networks
N. M. Ball, J. Loveday, M. Fukugita, O. Nakamura, S. Okamura, J. Brinkmann, and R. J. Brunner · 2004
Earlier work this paper cites.
ANNz: Estimating Photometric Redshifts Using Artificial Neural Networks
Adrian A. Collister and Ofer Lahav · 2004
Earlier work this paper cites.
Pan-STARRS: a wide-field optical survey telescope array
Nicholas Kaiser · 2004
Earlier work this paper cites.
Photometric redshifts with the Multilayer Perceptron Neural Network: Application to the HDF-S and SDSS
E. Vanzella, S. Cristiani, A. Fontana, M. Nonino, S. Arnouts, E. Giallongo, A. Grazian, G. Fasano, P. Popesso, P. Saracco, and S. Zaggia · 2004
Earlier work this paper cites.
Estimating Photometric Redshifts Using Support Vector Machines
Yogesh Wadadekar · 2004
Earlier work this paper cites.
Identifying Red Variables in the Northern Sky Variability Survey
P. R. Woźniak, S. J. Williams, W. T. Vestrand, and V. Gupta · 2004
Earlier work this paper cites.
Spectral Classification of Quasars in the Sloan Digital Sky Survey: Eigenspectra, Redshift, and Luminosity Effects
C. W. Yip, A. J. Connolly, D. E. Vanden Berk, Z. Ma, J. A. Frieman, M. SubbaRao, A. S. Szalay, G. T. Richards, P. B. Hall, D. P. Schneider, A. M. Hopkins, J. Trump, and J. Brinkmann · 2004
Earlier work this paper cites.
A Catalog of Northern Stars with Annual Proper Motions Larger than 0.15” (LSPM-NORTH Catalog)
Sébastien Lépine and Michael M. Shara · 2005
Earlier work this paper cites.
The Galaxy Evolution Explorer: A Space Ultraviolet Survey Mission
D. Christopher Martin, James Fanson, David Schiminovich, Patrick Morrissey, Peter G. Friedman, Tom A. Barlow, Tim Conrow, Robert Grange, Patrick N. Jelinsky, Bruno Milliard, Oswald H. W. Siegmund, Luciana Bianchi, Yong-Ik Byun, Jose Donas, Karl Forster, Timothy M. Heckman, Young-Wook Lee, Barry F. Madore, Roger F. Malina, Susan G. Neff, R. Michael Rich, Todd Small, Frank Surber, Alex S. Szalay, Barry Welsh, and Ted K. Wyder · 2005
Earlier work this paper cites.
The Fourth Data Release of the Sloan Digital Sky Survey
Jennifer K. Adelman-McCarthy, Marcel A. Agüeros, Sahar S. Allam, Kurt S. J. Anderson, Scott F. Anderson, James Annis, Neta A. Bahcall, Ivan K. Baldry, J. C. Barentine, Andreas Berlind, Mariangela Bernardi, Michael R. Blanton, William N. Boroski, Howard J. Brewington, Jarle Brinchmann, J. Brinkmann, Robert J. Brunner, Tamás Budavári, Larry N. Carey, Michael A. Carr, Francisco J. Castander, A. J. Connolly, István Csabai, Paul C. Czarapata, Julianne J. Dalcanton, Mamoru Doi, Feng Dong, Daniel J. Eisenstein, Michael L. Evans, Xiaohui Fan, Douglas P. Finkbeiner, Scott D. Friedman, Joshua A. Frieman, Masataka Fukugita, Bruce Gillespie, Karl Glazebrook, Jim Gray, Eva K. Grebel, James E. Gunn, Vijay K. Gurbani, Ernst de Haas, Patrick B. Hall, Frederick H. Harris, Michael Harvanek, Suzanne L. Hawley, Jeffrey Hayes, John S. Hendry, Gregory S. Hennessy, Robert B. Hindsley, Christopher M. Hirata, Craig J. Hogan, David W. Hogg, Donald J. Holmgren, Jon A. Holtzman, Shin-ichi Ichikawa, Željko Ivezić, Sebastian Jester, David E. Johnston, Anders M. Jorgensen, Mario Jurić, Stephen M. Kent, S. J. Kleinman, G. R. Knapp, Alexei Yu. Kniazev, Richard G. Kron, Jurek Krzesinski, Nikolay Kuropatkin, Donald Q. Lamb, Hubert Lampeitl, Brian C. Lee, R. French Leger, Huan Lin, Daniel C. Long, Jon Loveday, Robert H. Lupton, Bruce Margon, David Martínez-Delgado, Rachel Mand elbaum, Takahiko Matsubara, Peregrine M. McGehee, Timothy A. McKay, Avery Meiksin, Jeffrey A. Munn, Reiko Nakajima, Thomas Nash, Jr. Neilsen, Eric H., Heidi Jo Newberg, Peter R. Newman, Robert C. Nichol, Tom Nicinski, Maria Nieto-Santisteban, Atsuko Nitta, William O’Mullane, Sadanori Okamura, Russell Owen, Nikhil Padmanabhan, George Pauls, Jr. Peoples, John, Jeffrey R. Pier, Adrian C. Pope, Dimitri Pourbaix, Thomas R. Quinn, Gordon T. Richards, Michael W. Richmond, Constance M. Rockosi, David J. Schlegel, Donald P. Schneider, Joshua Schroeder, Ryan Scranton, Uroš Seljak, Erin Sheldon, Kazu Shimasaku, J. Allyn Smith, Vernesa Smolčić, Stephanie A. Snedden, Chris Stoughton, Michael A. Strauss, Mark SubbaRao, Alexander S. Szalay, István Szapudi, Paula Szkody, Max Tegmark, Aniruddha R. Thakar, Douglas L. Tucker, Alan Uomoto, Daniel E. Vanden Berk, Jan Vandenberg, Michael S. Vogeley, Wolfgang Voges, Nicole P. Vogt, Lucianne M. Walkowicz, David H. Weinberg, Andrew A. West, Simon D. M. White, Yongzhong Xu, Brian Yanny, D. R. Yocum, Donald G. York, Idit Zehavi, Stefano Zibetti, and Daniel B. Zucker · 2006
Earlier work this paper cites.
The fundamental properties of galaxies and a new galaxy classification system
Christopher J. Conselice · 2006
Earlier work this paper cites.
2020 computing: Science in an exponential world
Alexander Szalay and Jim Gray · 2006
Earlier work this paper cites.
Science with the Australian Square Kilometre Array Pathfinder
S. Johnston, M. Bailes, N. Bartel, C. Baugh, M. Bietenholz, C. Blake, R. Braun, J. Brown, S. Chatterjee, J. Darling, A. Deller, R. Dodson, P. G. Edwards, R. Ekers, S. Ellingsen, I. Feain, B. M. Gaensler, M. Haverkorn, G. Hobbs, A. Hopkins, C. Jackson, C. James, G. Joncas, V. Kaspi, V. Kilborn, B. Koribalski, R. Kothes, T. L. Landecker, E. Lenc, J. Lovell, J. P. Macquart, R. Manchester, D. Matthews, N. M. McClure-Griffiths, R. Norris, U. L. Pen, C. Phillips, C. Power, R. Protheroe, E. Sadler, B. Schmidt, I. Stairs, L. Staveley-Smith, J. Stil, R. Taylor, S. Tingay, A. Tzioumis, M. Walker, J. Wall, and M. Wolleben · 2007
Earlier work this paper cites.
The SkyMapper Telescope and The Southern Sky Survey
S. C. Keller, B. P. Schmidt, M. S. Bessell, P. G. Conroy, P. Francis, A. Granlund, E. Kowald, A. P. Oates, T. Martin-Jones, T. Preston, P. Tisserand , A. Vaccarella, and M. F. Waterson · 2007
Earlier work this paper cites.
Automatic Short-Term Solar Flare Prediction Using Machine Learning and Sunspot Associations
R. Qahwaji and T. Colak · 2007
Earlier work this paper cites.
A Pair of Boötes: A New Milky Way Satellite
S. M. Walsh, H. Jerjen, and B. Wiallman · 2007
Earlier work this paper cites.
Initial data release from the INT Photometric H α \alpha Survey of the Northern Galactic Plane (IPHAS)
E. A. González-Solares, N. A. Walton, R. Greimel, J. E. Drew, M. J. Irwin, S. E. Sale, K. Andrews, A. Aungwerojwit, M. J. Barlow, E. van den Besselaar, R. L. M. Corradi, B. T. Gänsicke, P. J. Groot, A. S. Hales, E. C. Hopewell, Haili Hu, J. Irwin, C. Knigge, E. Lagadec, P. Leisy, J. R. Lewis, A. Mampaso, M. Matsuura, B. Moont, L. Morales-Rueda, R. A. H. Morris, T. Naylor, Q. A. Parker, P. Prema, S. Pyrzas, G. T. Rixon, P. Rodríguez-Gil, G. Roelofs, L. Sabin, I. Skillen, J. Suso, R. Tata, K. Viironen, J. S. Vink, A. Witham, N. J. Wright, A. A. Zijlstra, A. Zurita, J. Drake, J. Fabregat, D. J. Lennon, P. W. Lucas, E. L. Martín, S. Phillipps, D. Steeghs, and Y. C. Unruh · 2008
Earlier work this paper cites.
Science with ASKAP. The Australian square-kilometre-array pathfinder
S. Johnston, R. Taylor, M. Bailes, N. Bartel, C. Baugh, M. Bietenholz, C. Blake, R. Braun, J. Brown, S. Chatterjee, J. Darling, A. Deller, R. Dodson, P. Edwards, R. Ekers, S. Ellingsen, I. Feain, B. Gaensler, M. Haverkorn, G. Hobbs, A. Hopkins, C. Jackson, C. James, G. Joncas, V. Kaspi, V. Kilborn, B. Koribalski, R. Kothes, T. Landecker, E. Lenc, J. Lovell, J. P. Macquart, R. Manchester, D. Matthews, N. McClure-Griffiths, R. Norris, U. L. Pen, C. Phillips, C. Power, R. Protheroe, E. Sadler, B. Schmidt, I. Stairs, L. Staveley-Smith, J. Stil, S. Tingay, A. Tzioumis, M. Walker, J. Wall, and M. Wolleben · 2008
Earlier work this paper cites.
Galaxy Zoo: morphologies derived from visual inspection of galaxies from the Sloan Digital Sky Survey
Chris J. Lintott, Kevin Schawinski, Anže Slosar, Kate Land, Steven Bamford, Daniel Thomas, M. Jordan Raddick, Robert C. Nichol, Alex Szalay, Dan Andreescu, Phil Murray, and Jan Vandenberg · 2008
Earlier work this paper cites.
Isolation Forest
F. T. Liu, K. M. Ting, and Z. Zhou · 2008
Earlier work this paper cites.
Visualizing data using t-SNE
Laurens van der Maaten and Geoffrey Hinton · 2008
Earlier work this paper cites.
Extracting and composing robust features with denoising autoencoders
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol · 2008
Earlier work this paper cites.
IPHAS discoveries of young stars towards Cyg OB2 and its southern periphery
Jorick S. Vink, Janet E. Drew, Danny Steeghs, Nick J. Wright, Eduardo L. Martin, Boris T. Gänsicke, Robert Greimel, and Jeremy Drake · 2008
Earlier work this paper cites.
The Seventh Data Release of the Sloan Digital Sky Survey
Kevork N. Abazajian and et al · 2009
Earlier work this paper cites.
Beyond the data deluge
Gordon Bell, Tony Hey, and Alex Szalay · 2009
Earlier work this paper cites.
MeerKAT Key Project Science, Specifications, and Proposals
R. S. Booth, W. J. G. de Blok, J. L. Jonas, and B. Fanaroff · 2009
Earlier work this paper cites.
Scientific Data Mining in Astronomy
Kirk Borne · 2009
Earlier work this paper cites.
A Population of Compact Elliptical Galaxies Detected with the Virtual Observatory
Igor Chilingarian, Véronique Cayatte, Yves Revaz, Serguei Dodonov, Daniel Durand, Florence Durret, Alberto Micol, and Eric Slezak · 2009
Earlier work this paper cites.
The Square Kilometre Array
P. E. Dewdney, P. J. Hall, R. T. Schilizzi, and T. J. L. W. Lazio · 2009
Earlier work this paper cites.
First Results from the Catalina Real-Time Transient Survey
A. J. Drake, S. G. Djorgovski, A. Mahabal, E. Beshore, S. Larson, M. J. Graham, R. Williams, E. Christensen, M. Catelan, A. Boattini, A. Gibbs, R. Hill, and R. Kowalski · 2009
Earlier work this paper cites.
LSST Science Book, Version 2.0
LSST Science Collaboration and et al · 2009
Earlier work this paper cites.
Towards the Automated Classification of Variable Objects and Transients
Ashish A. Mahabal, S. G. Djorgovski, A. J. Drake, B. Hensley, C. Donalek, M. J. Graham, R. D. Williams, E. Glikman, C. Baltay, D. Rabinowitz, and PQ Survey Team · 2009
Earlier work this paper cites.
New young planetary nebulae in IPHAS
K. Viironen, A. Mampaso, R. L. M. Corradi, M. Rodríguez, R. Greimel, L. Sabin, S. E. Sale, Y. Unruh, G. Delgado-Inglada, J. E. Drew, C. Giammanco, P. Groot, Q. A. Parker, J. Sokoloski, and A. Zijlstra · 2009
Earlier work this paper cites.
Data mining for dwarf novae in SDSS, GALEX and astrometric catalogues
Patrick Wils, Boris T. Gänsicke, Andrew J. Drake, and John Southworth · 2009
Earlier work this paper cites.
Data Mining and Machine Learning in Astronomy
Nicholas M. Ball and Robert J. Brunner · 2010
Earlier work this paper cites.
Analysing astronomy algorithms for graphics processing units and beyond
B. R. Barsdell, D. G. Barnes, and C. J. Fluke · 2010
Earlier work this paper cites.
Kepler Planet-Detection Mission: Introduction and First Results
William J. Borucki and et al · 2010
Earlier work this paper cites.
Observations, compositional, and physical characterization of near-Earth and Mars-crosser asteroids from a spectroscopic survey
J. de León, J. Licandro, M. Serra-Ricart, N. Pinilla-Alonso, and H. Campins · 2010
Earlier work this paper cites.
Selection of radio pulsar candidates using artificial neural networks
R. P. Eatough, N. Molkenthin, M. Kramer, A. Noutsos, M. J. Keith, B. W. Stappers, and A. G. Lyne · 2010
Earlier work this paper cites.
Advanced LIGO: the next generation of gravitational wave detectors
Gregory M. Harry and LIGO Scientific Collaboration · 2010
Earlier work this paper cites.
PHAT: PHoto-z Accuracy Testing
H. Hildebrandt, S. Arnouts, P. Capak, L. A. Moustakas, C. Wolf, F. B. Abdalla, R. J. Assef, M. Banerji, N. Benítez, G. B. Brammer, T. Budavári, S. Carliles, D. Coe, T. Dahlen, R. Feldmann, D. Gerdes, B. Gillis, O. Ilbert, R. Kotulla, O. Lahav, I. H. Li, J. M. Miralles, N. Purger, S. Schmidt, and J. Singal · 2010
Earlier work this paper cites.
Astrophysical Supercomputing with GPUs: Critical Decisions for Early Adopters
Christopher J. Fluke, David G. Barnes, Benjamin R. Barsdell, and Amr H. Hassan · 2011
Earlier work this paper cites.
Euclid Definition Study Report
R. Laureijs and et al · 2011
Earlier work this paper cites.
Discovery, classification, and scientific exploration of transient events from the Catalina Real-time Transient Survey
A. A. Mahabal, S. G. Djorgovski, A. J. Drake, C. Donalek, M. J. Graham, R. D. Williams, Y. Chen, B. Moghaddam, M. Turmon, E. Beshore, and S. Larson · 2011
Earlier work this paper cites.
Photometric redshifts with the quasi Newton algorithm (MLPQNA) Results in the PHAT1 contest
S. Cavuoti, M. Brescia, G. Longo, and A. Mercurio · 2012
Earlier work this paper cites.
STAR-GALAXY CLASSIFICATION IN MULTI-BAND OPTICAL IMAGING
Ross Fadely, David W. Hogg, and Beth Willman · 2012
Earlier work this paper cites.
Big data in astronomy
E.D. Feigelson and G.J. Babu · 2012
Earlier work this paper cites.
ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton · 2012
Earlier work this paper cites.
The Atmospheric Imaging Assembly (AIA) on the Solar Dynamics Observatory (SDO)
James R. Lemen, Alan M. Title, David J. Akin, Paul F. Boerner, Catherine Chou, Jerry F. Drake, Dexter W. Duncan, Christopher G. Edwards, Frank M. Friedlaender, Gary F. Heyman, Neal E. Hurlburt, Noah L. Katz, Gary D. Kushner, Michael Levay, Russell W. Lindgren, Dnyanesh P. Mathur, Edward L. McFeaters, Sarah Mitchell, Roger A. Rehse, Carolus J. Schrijver, Larry A. Springer, Robert A. Stern, Theodore D. Tarbell, Jean-Pierre Wuelser, C. Jacob Wolfson, Carl Yanari, Jay A. Bookbinder, Peter N. Cheimets, David Caldwell, Edward E. Deluca, Richard Gates, Leon Golub, Sang Park, William A. Podgorski, Rock I. Bush, Philip H. Scherrer, Mark A. Gummin, Peter Smith, Gary Auker, Paul Jerram, Peter Pool, Regina Soufli, David L. Windt, Sarah Beardsley, Matthew Clapp, James Lang, and Nicholas Waltham · 2012
Earlier work this paper cites.
The Solar Dynamics Observatory (SDO)
W. Dean Pesnell, B. J. Thompson, and P. C. Chamberlin · 2012
Earlier work this paper cites.
Advances in Machine Learning and Data Mining for Astronomy
Michael J. Way, Jeffrey D. Scargle, Kamal M. Ali, and Ashok N. Srivastava · 2012
Earlier work this paper cites.
Cosmology and Fundamental Physics with the Euclid Satellite
Luca Amendola, Stephen Appleby, David Bacon, Tessa Baker, Marco Baldi, Nicola Bartolo, Alain Blanchard, Camille Bonvin, Stefano Borgani, Enzo Branchini, Clare Burrage, Stefano Camera, Carmelita Carbone, Luciano Casarini, Mark Cropper, Claudia de Rham, Cinzia Di Porto, Anne Ealet, Pedro G. Ferreira, Fabio Finelli, Juan García-Bellido, Tommaso Giannantonio, Luigi Guzzo, Alan Heavens, Lavinia Heisenberg, Catherine Heymans, Henk Hoekstra, Lukas Hollenstein, Rory Holmes, Ole Horst, Knud Jahnke, Thomas D. Kitching, Tomi Koivisto, Martin Kunz, Giuseppe La Vacca, Marisa March, Elisabetta Majerotto, Katarina Markovic, David Marsh, Federico Marulli, Richard Massey, Yannick Mellier, David F. Mota, Nelson J. Nunes, Will Percival, Valeria Pettorino, Cristiano Porciani, Claudia Quercellini, Justin Read, Massimiliano Rinaldi, Domenico Sapone, Roberto Scaramella, Constantinos Skordis, Fergus Simpson, Andy Taylor, Shaun Thomas, Roberto Trotta, Licia Verde, Filippo Vernizzi, Adrian Vollmer, Yun Wang, Jochen Weller, and Tom Zlosnik · 2013
Earlier work this paper cites.
Application of machine learning algorithms to the study of noise artifacts in gravitational-wave data
Rahul Biswas, Lindy Blackburn, Junwei Cao, Reed Essick, Kari Alison Hodge, Erotokritos Katsavounidis, Kyungmin Kim, Young-Min Kim, Eric-Olivier Le Bigot, Chang-Hwan Lee, John J. Oh, Sang Hoon Oh, Edwin J. Son, Ye Tao, Ruslan Vaulin, and Xiaoge Wang · 2013
Earlier work this paper cites.
Photometric Redshifts for Quasars in Multi-band Surveys
M. Brescia, S. Cavuoti, R. D’Abrusco, G. Longo, and A. Mercurio · 2013
Earlier work this paper cites.
TPZ: Photometric redshift PDFs and ancillary information by using prediction trees and random forests
Matias Carrasco Kind and Robert J. Brunner · 2013
Earlier work this paper cites.
The Kilo-Degree Survey
Jelte T. A. de Jong, Gijs A. Verdoes Kleijn, Konrad H. Kuijken, and Edwin A. Valentijn · 2013
Cited alongside, same era.
Machine-assisted discovery of relationships in astronomy
Matthew J. Graham, S. G. Djorgovski, Ashish A. Mahabal, Ciro Donalek, and Andrew J. Drake · 2013
Cited alongside, same era.
New Galactic supernova remnants discovered with IPHAS
L. Sabin, Q. A. Parker, M. E. Contreras, L. Olguín, D. J. Frew, M. Stupar, R. Vázquez, N. J. Wright, R. L. M. Corradi, and R. A. H. Morris · 2013
Cited alongside, same era.
LOFAR: The LOw-Frequency ARray
M. P. van Haarlem and et al · 2013
Cited alongside, same era.
DAMEWARE: A Web Cyberinfrastructure for Astrophysical Data Mining
Massimo Brescia, Stefano Cavuoti, Giuseppe Longo, Alfonso Nocella, Mauro Garofalo, Francesco Manna, Francesco Esposito, Giovanni Albano, Marisa Guglielmo, Giovanni D’Angelo, Alessandro Di Guido, S. George Djorgovski, Ciro Donalek, Ashish A. Mahabal, Matthew J. Graham, Michelangelo Fiore, and Raffaele D’Abrusco · 2014
Cited alongside, same era.
Gaia Data Release 2. Summary of the contents and survey properties
Gaia Collaboration and et al · 2018
Later among the works it cites.
Machine learning in APOGEE. Unsupervised spectral classification with K-means
Rafael Garcia-Dias, Carlos Allende Prieto, Jorge Sánchez Almeida, and Ignacio Ordovás-Pascual · 2018
Later among the works it cites.
Supervised detection of exoplanets in high-contrast imaging sequences
C. A. Gomez Gonzalez, O. Absil, and M. Van Droogenbroeck · 2018
Later among the works it cites.
Characterizing the velocity of a wandering black hole and properties of the surrounding medium using convolutional neural networks
J. A. González and F. S. Guzmán · 2018
Later among the works it cites.
Galaxy interactions trigger rapid black hole growth: An unprecedented view from the Hyper Suprime-Cam survey
Andy D. Goulding, Jenny E. Greene, Rachel Bezanson, Johnny Greco, Sean Johnson, Alexie Leauthaud, Yoshiki Matsuoka, Elinor Medezinski, and Adrian M. Price-Whelan · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Matias Carrasco Kind and Robert J. Brunner · 2014
Cited alongside, same era.
Astrophysics in the Era of Massive Time-Domain Surveys
G. Djorgovski · 2014
Cited alongside, same era.
Statistics, Data Mining, and Machine Learning in Astronomy
Željko Ivezić, Andrew J. Connelly, Jacob T. Vand erPlas, and Alexander Gray · 2014
Cited alongside, same era.
Improving the Performance of Photometric Regression Models via Massive Parallel Feature Selection
K. L. Polsterer, F. Gieseke, C Igel, and T. Goto · 2014
Cited alongside, same era.
Data mining for gravitationally lensed quasars
Adriano Agnello, Brandon C. Kelly, Tommaso Treu, and Philip J. Marshall · 2015
Cited alongside, same era.
ADS 2.0: New Architecture, API and Services
R. Chyla, A. Accomazzi, A. Holachek, C. S. Grant, J. Elliott, E. A. Henneken, D. M. Thompson, M. J. Kurtz, S. S. Murray, and V. Sudilovsky · 2015
Cited alongside, same era.
The first and second data releases of the Kilo-Degree Survey
Jelte T. A. de Jong, Gijs A. Verdoes Kleijn, Danny R. Boxhoorn, Hugo Buddelmeijer, Massimo Capaccioli, Fedor Getman, Aniello Grado, Ewout Helmich, Zhuoyi Huang, Nancy Irisarri, Konrad Kuijken, Francesco La Barbera, John P. McFarland, Nicola R. Napolitano, Mario Radovich, Gert Sikkema, Edwin A. Valentijn, Kor G. Begeman, Massimo Brescia, Stefano Cavuoti, Ami Choi, Oliver-Mark Cordes, Giovanni Covone, Massimo Dall’Ora, Hendrik Hildebrandt, Giuseppe Longo, Reiko Nakajima, Maurizio Paolillo, Emanuella Puddu, Agatino Rifatto, Crescenzo Tortora, Edo van Uitert, Axel Buddendiek, Joachim Harnois-Déraps, Thomas Erben, Martin B. Eriksen, Catherine Heymans, Henk Hoekstra, Benjamin Joachimi, Thomas D. Kitching, Dominik Klaes, Léon V. E. Koopmans, Fabian Köhlinger, Nivya Roy, Cristóbal Sifón, Peter Schneider, Will J. Sutherland, Massimo Viola, and Willem-Jan Vriend · 2015
Cited alongside, same era.
Discovery of new dipper stars with K2: a window into the inner disc region of T Tauri stars
Christina Hedges, Simon Hodgkin, and Grant Kennedy · 2018
Later among the works it cites.
A First Catalog of Variable Stars Measured by the Asteroid Terrestrial-impact Last Alert System (ATLAS)
A. N. Heinze, J. L. Tonry, L. Denneau, H. Flewelling, B. Stalder, A. Rest, K. W. Smith, S. J. Smartt, and H. Weiland · 2018
Later among the works it cites.
An automatic taxonomy of galaxy morphology using unsupervised machine learning
Alex Hocking, James E. Geach, Yi Sun, and Neil Davey · 2018
Later among the works it cites.
Eccentric, nonspinning, inspiral, Gaussian-process merger approximant for the detection and characterization of eccentric binary black hole mergers
E. A. Huerta, C. J. Moore, Prayush Kumar, Daniel George, Alvin J. K. Chua, Roland Haas, Erik Wessel, Daniel Johnson, Derek Glennon, Adam Rebei, A. Miguel Holgado, Jonathan R. Gair, and Harald P. Pfeiffer · 2018
Later among the works it cites.
Deep Learning Identifies High-z Galaxies in a Central Blue Nugget Phase in a Characteristic Mass Range
M. Huertas-Company, J. R. Primack, A. Dekel, D. C. Koo, S. Lapiner, D. Ceverino, R. C. Simons, G. F. Snyder, M. Bernardi, Z. Chen, H. Domínguez-Sánchez, C. T. Lee, B. Margalef-Bentabol, and D. Tuccillo · 2018
Later among the works it cites.
A machine learning approach to galaxy-LSS classification - I. Imprints on halo merger trees
Jianan Hui, Miguel Aragon, Xinping Cui, and James M. Flegal · 2018
Later among the works it cites.
Using Machine Learning Methods to Forecast if Solar Flares Will Be Associated with CMEs and SEPs
Fadil Inceoglu, Jacob H. Jeppesen, Peter Kongstad, Néstor J. Hernández Marcano, Rune H. Jacobsen, and Christoffer Karoff · 2018
Later among the works it cites.
Spectral Feature Extraction for DB White Dwarfs Through Machine Learning Applied to New Discoveries in the Sdss DR12 and DR14
Xiao Kong, A. Li Luo, Xiang-Ru Li, You-Fen Wang, Yin-Bi Li, and Jing-Kun Zhao · 2018
Later among the works it cites.
Hubble Tarantula Treasury Project - VI. Identification of pre-main-sequence stars using machine-learning techniques
Victor F. Ksoll, Dimitrios A. Gouliermis, Ralf S. Klessen, Eva K. Grebel, Elena Sabbi, Jay Anderson, Daniel J. Lennon, Michele Cignoni, Guido de Marchi, Linda J. Smith, Monica Tosi, and Roeland P. van der Marel · 2018
Later among the works it cites.
A hybrid approach to machine learning annotation of large galaxy image databases
E. Kuminski and L. Shamir · 2018
Later among the works it cites.
CMU DeepLens: deep learning for automatic image-based galaxy-galaxy strong lens finding
François Lanusse, Quanbin Ma, Nan Li, Thomas E. Collett, Chun-Liang Li, Siamak Ravanbakhsh, Rachel Mandelbaum, and Barnabás Póczos · 2018
Later among the works it cites.
Carbon Stars Identified from LAMOST DR4 Using Machine Learning
Yin-Bi Li, A. Li Luo, Chang-De Du, Fang Zuo, Meng-Xin Wang, Gang Zhao, Bi-Wei Jiang, Hua-Wei Zhang, Chao Liu, Li Qin, Rui Wang, Bing Du, Yan-Xin Guo, Bo Wang, Zhan-Wen Han, Mao-Sheng Xiang, Yang Huang, Bing-Qiu Chen, Jian-Jun Chen, Xiao Kong, Wen Hou, Yi-Han Song, You-Fen Wang, Ke-Fei Wu, Jian-Nan Zhang, Yong Zhang, Yue-Fei Wang, Zi-Huang Cao, Yong-Hui Hou, and Yong-Heng Zhao · 2018
Later among the works it cites.
Research on the fault diagnosis and self-healing technology of unattended Antarctic telescope
Yun Li and Shihai Yang · 2018
Later among the works it cites.
Machine-learning-based real-bogus system for the HSC-SSP moving object detection pipeline
Hsing-Wen Lin, Ying-Tung Chen, Jen-Hung Wang, Shiang-Yu Wang, Fumi Yoshida, Wing-Huen Ip, Satoshi Miyazaki, and Tsuyoshi Terai · 2018
Later among the works it cites.
A New Tool for CME Arrival Time Prediction using Machine Learning Algorithms: CAT-PUMA
Jiajia Liu, Yudong Ye, Chenglong Shen, Yuming Wang, and Robert Erdélyi · 2018
Later among the works it cites.
Machine learning cosmological structure formation
Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, and Michelle Lochner · 2018
Later among the works it cites.
Radio Galaxy Zoo: compact and extended radio source classification with deep learning
V. Lukic, M. Brüggen, J. K. Banfield, O. I. Wong, L. Rudnick, R. P. Norris, and B. Simmons · 2018
Later among the works it cites.
Supervised machine learning for analysing spectra of exoplanetary atmospheres
Pablo Márquez-Neila, Chloe Fisher, Raphael Sznitman, and Kevin Heng · 2018
Later among the works it cites.
Single-pulse classifier for the LOFAR Tied-Array All-sky Survey
D. Michilli, J. W. T. Hessels, R. J. Lyon, C. M. Tan, C. Bassa, S. Cooper, V. I. Kondratiev, S. Sanidas, B. W. Stappers, and J. van Leeuwen · 2018
Later among the works it cites.
Protostellar classification using supervised machine learning algorithms
O. Miettinen · 2018
Later among the works it cites.
TSARDI: a Machine Learning data rejection algorithm for transiting exoplanet light curves
D. Mislis, S. Pyrzas, and K. A. Alsubai · 2018
Later among the works it cites.
Applications of machine-learning algorithms for infrared colour selection of Galactic Wolf-Rayet stars
Giuseppe Morello, P. W. Morris, S. D. Van Dyk, A. P. Marston, and J. C. Mauerhan · 2018
Later among the works it cites.
EnviRoNet - Planetary Science Applications
S. K. Mukkavilli, D. Meger, and G. Dudek · 2018
Later among the works it cites.
An Information Retrieval and Recommendation System for Astronomical Observatories
Nikhil Mukund, Saurabh Thakur, Sheelu Abraham, A. K. Aniyan, Sanjit Mitra, Ninan Sajeeth Philip, Kaustubh Vaghmare, and D. P. Acharjya · 2018
Later among the works it cites.
Sharpening up Galactic all-sky maps with complementary data. A machine learning approach
Ancla Müller, Moritz Hackstein, Maksim Greiner, Philipp Frank, Dominik J. Bomans, Ralf-Jürgen Dettmar, and Torsten Enßlin · 2018
Later among the works it cites.
Modeling the Impact of Baryons on Subhalo Populations with Machine Learning
Ethan O. Nadler, Yao-Yuan Mao, Risa H. Wechsler, Shea Garrison-Kimmel, and Andrew Wetzel · 2018
Later among the works it cites.
Machine-learning-based Brokers for Real-time Classification of the LSST Alert Stream
Gautham Narayan, Tayeb Zaidi, Monika D. Soraisam, Zhe Wang, Michelle Lochner, Thomas Matheson, Abhijit Saha, Shuo Yang, Zhenge Zhao, John Kececioglu, Carlos Scheidegger, Richard T. Snodgrass, Tim Axelrod, Tim Jenness, Robert S. Maier, Stephen T. Ridgway, Robert L. Seaman, Eric Michael Evans, Navdeep Singh, Clark Taylor, Jackson Toeniskoetter, Eric Welch, Songzhe Zhu, and ANTARES Collaboration · 2018
Later among the works it cites.
A recurrent neural network for classification of unevenly sampled variable stars
Brett Naul, Joshua S. Bloom, Fernando Pérez, and Stéfan van der Walt · 2018
Later among the works it cites.
Computer-aided discovery of debris disk candidates: A case study using the Wide-Field Infrared Survey Explorer (WISE) catalog
T. Nguyen, V. Pankratius, L. Eckman, and S. Seager · 2018
Later among the works it cites.
A novel single-pulse search approach to detection of dispersed radio pulses using clustering and supervised machine learning
Di Pang, Katerina Goseva-Popstojanova, Thomas Devine, and Maura McLaughlin · 2018
Later among the works it cites.
An Updated Catalog of 4680 Northern Eclipsing Binaries with Algol-type Light-curve Morphology in the Catalina Sky Surveys
Athanasios Papageorgiou, Márcio Catelan, Panagiota-Eleftheria Christopoulou, Andrew J. Drake, and S. G. Djorgovski · 2018
Later among the works it cites.
Machine learning search for variable stars
Ilya N. Pashchenko, Kirill V. Sokolovsky, and Panagiotis Gavras · 2018
Later among the works it cites.
Asteroids in the High Cadence Transient Survey
J. Peña, C. Fuentes, F. Förster, J. C. Maureira, J. San Martín, J. Littín, P. Huijse, G. Cabrera-Vives, P. A. Estévez, L. Galbany, S. González-Gaitán, J. Martínez, Th. de Jaeger, and M. Hamuy · 2018
Later among the works it cites.
Searching for exoplanets using artificial intelligence
Kyle A. Pearson, Leon Palafox, and Caitlin A. Griffith · 2018
Later among the works it cites.
SpArcFiRe: morphological selection effects due to reduced visibility of tightly winding arms in distant spiral galaxies
Tianrui Rae Peng, John Edward English, Pedro Silva, Darren R. Davis, and Wayne B. Hayes · 2018
Later among the works it cites.
LensFlow: A Convolutional Neural Network in Search of Strong Gravitational Lenses
Milad Pourrahmani, Hooshang Nayyeri, and Asantha Cooray · 2018
Later among the works it cites.
Predicting the neutral hydrogen content of galaxies from optical data using machine learning
Mika Rafieferantsoa, Sambatra Andrianomena, and Romeel Davé · 2018
Later among the works it cites.
Detecting outliers and learning complex structures with large spectroscopic surveys - a case study with APOGEE stars
Itamar Reis, Dovi Poznanski, Dalya Baron, Gail Zasowski, and Sahar Shahaf · 2018
Later among the works it cites.
Detecting outliers and learning complex structures with large spectroscopic surveys – a case study with APOGEE stars
Itamar Reis, Dovi Poznanski, Dalya Baron, Gail Zasowski, and Sahar Shahaf · 2018
Later among the works it cites.
Fast cosmic web simulations with generative adversarial networks
Andres C. Rodríguez, Tomasz Kacprzak, Aurelien Lucchi, Adam Amara, Raphaël Sgier, Janis Fluri, Thomas Hofmann, and Alexandre Réfrégier · 2018
Later among the works it cites.
Evolution of galaxy size-stellar mass relation from the Kilo-Degree Survey
N. Roy, N. R. Napolitano, F. La Barbera, C. Tortora, F. Getman, M. Radovich, M. Capaccioli, M. Brescia, S. Cavuoti, G. Longo, M. A. Raj, E. Puddu, G. Covone, V. Amaro, C. Vellucci, A. Grado, K. Kuijken, G. Verdoes Kleijn, and E. Valentijn · 2018
Later among the works it cites.
XMMPZCAT: A catalogue of photometric redshifts for X-ray sources
A. Ruiz, A. Corral, G. Mountrichas, and I. Georgantopoulos · 2018
Later among the works it cites.
Theoretical validation of potential habitability via analytical and boosted tree methods: An optimistic study on recently discovered exoplanets
S. Saha, S. Basak, M. Safonova, K. Bora, S. Agrawal, P. Sarkar, and J. Murthy · 2018
Later among the works it cites.
The many flavours of photometric redshifts
Mara Salvato, Olivier Ilbert, and Ben Hoyle · 2018
Later among the works it cites.
Estimates of the atmospheric parameters of M-type stars: a machine-learning perspective
L. M. Sarro, J. Ordieres-Meré, A. Bello-García, A. González-Marcos, and E. Solano · 2018
Later among the works it cites.
Effective image differencing with convolutional neural networks for real-time transient hunting
Nima Sedaghat and Ashish Mahabal · 2018
Later among the works it cites.
Identifying Exoplanets with Deep Learning: A Five-planet Resonant Chain around Kepler-80 and an Eighth Planet around Kepler-90
Christopher J. Shallue and Andrew Vanderburg · 2018
Later among the works it cites.
A Morphological Classification Model to Identify Unresolved PanSTARRS1 Sources: Application in the ZTF Real-time Pipeline
Yutaro Tachibana and A. A. Miller · 2018
Later among the works it cites.
Ensemble candidate classification for the LOTAAS pulsar survey
C. M. Tan, R. J. Lyon, B. W. Stappers, S. Cooper, J. W. T. Hessels, V. I. Kondratiev, D. Michilli, and S. Sanidas · 2018
Later among the works it cites.
The Clustering of High-redshift (2.9 ≤ \leq z ≤ \leq 5.1) Quasars in SDSS Stripe 82
John D. Timlin, Nicholas P. Ross, Gordon T. Richards, Adam D. Myers, Andrew Pellegrino, Franz E. Bauer, Mark Lacy, Donald P. Schneider, Edward J. Wollack, and Nadia L. Zakamska · 2018
Later among the works it cites.
GAME: GAlaxy Machine learning for Emission lines
G. Ucci, A. Ferrara, A. Pallottini, and S. Gallerani · 2018
Later among the works it cites.
Cosmic string detection with tree-based machine learning
A. Vafaei Sadr, M. Farhang, S. M. S. Movahed, B. Bassett, and M. Kunz · 2018
Later among the works it cites.
Unsupervised classification of variable stars
Lucas Valenzuela and Karim Pichara · 2018
Later among the works it cites.
Discovery of 36 eclipsing EL CVn binaries found by the Palomar Transient Factory
J. van Roestel, T. Kupfer, R. Ruiz-Carmona, P. J. Groot, T. A. Prince, K. Burdge, R. Laher, D. L. Shupe, and E. Bellm · 2018
Later among the works it cites.
Behind the Zone of Avoidance of the Milky Way: what can we Restore by Direct and Indirect Methods?
I. B. Vavilova, A. A. Elyiv, and M. Yu. Vasylenko · 2018
Later among the works it cites.
Finding flares in Kepler data using machine-learning tools
Krisztián Vida and Rachael M. Roettenbacher · 2018
Later among the works it cites.
Galactic cartography with SkyMapper - I. Population substructure and the stellar number density of the inner halo
Zhen Wan, Prajwal R. Kafle, Geraint F. Lewis, Dougal Mackey, Sanjib Sharma, and Rodrigo A. Ibata · 2018
Later among the works it cites.
Improved selection criteria for H II regions, based on IRAS sources
Qing-Zeng Yan, Ye Xu, A. J. Walsh, J. P. Macquart, G. C. MacLeod, Bo Zhang, P. J. Hancock, Xi Chen, and Zheng-Hong Tang · 2018
Later among the works it cites.
Automatic Detection of Sunspots on Full-disk Solar Images using the Simulated Annealing Genetic Method
Yunfei Yang, Hongjuan Yang, Xianyong Bai, Huituan Zhou, Song Feng, and Bo Liang · 2018
Later among the works it cites.
Automatic Detection of Magnetospheric Regions around Saturn using Cassini Data
K. Yeakel, J. D. Vandegriff, D. G. Mitchell, D. C. Hamilton, C. M. Jackman, P. A. Delamere, and E. Roussos · 2018
Later among the works it cites.
Using the Properties of Broad Absorption Line Quasars to Illuminate Quasar Structure
Suk Yee Yong, Anthea L. King, Rachel L. Webster, Nicholas F. Bate, Matthew J. O’Dowd, and Kathleen Labrie · 2018
Later among the works it cites.
Imbalanced Learning for RR Lyrae Stars Based on SDSS and GALEX Databases
Jingyi Zhang, Yanxia Zhang, and Yongheng Zhao · 2018
Later among the works it cites.
A machine learning method to separate cosmic ray electrons from protons from 10 to 100 GeV using DAMPE data
Hao Zhao, Wen-Xi Peng, Huan-Yu Wang, Rui Qiao, Dong-Ya Guo, Hong Xiao, and Zhao-Min Wang · 2018
Later among the works it cites.
Statistical analysis of probability density functions for photometric redshifts through the KiDS-ESO-DR3 galaxies
V. Amaro, S. Cavuoti, M. Brescia, C. Vellucci, G. Longo, M. Bilicki, J. T. A. de Jong, C. Tortora, M. Radovich, N. R. Napolitano, and H. Buddelmeijer · 2019
Closest in time.
The Zwicky Transient Facility: System Overview, Performance, and First Results
Eric C. Bellm, Shrinivas R. Kulkarni, Matthew J. Graham, Richard Dekany, Roger M. Smith, Reed Riddle, Frank J. Masci, George Helou, Thomas A. Prince, Scott M. Adams, C. Barbarino, Tom Barlow, James Bauer, Ron Beck, Justin Belicki, Rahul Biswas, Nadejda Blagorodnova, Dennis Bodewits, Bryce Bolin, Valery Brinnel, Tim Brooke, Brian Bue, Mattia Bulla, Rick Burruss, S. Bradley Cenko, Chan-Kao Chang, Andrew Connolly, Michael Coughlin, John Cromer, Virginia Cunningham, Kishalay De, Alex Delacroix, Vandana Desai, Dmitry A. Duev, Gwendolyn Eadie, Tony L. Farnham, Michael Feeney, Ulrich Feindt, David Flynn, Anna Franckowiak, S. Frederick, C. Fremling, Avishay Gal-Yam, Suvi Gezari, Matteo Giomi, Daniel A. Goldstein, V. Zach Golkhou, Ariel Goobar, Steven Groom, Eugean Hacopians, David Hale, John Henning, Anna Y. Q. Ho, David Hover, Justin Howell, Tiara Hung, Daniela Huppenkothen, David Imel, Wing-Huen Ip, Željko Ivezić, Edward Jackson, Lynne Jones, Mario Juric, Mansi M. Kasliwal, S. Kaspi, Stephen Kaye, Michael S. P. Kelley, Marek Kowalski, Emily Kramer, Thomas Kupfer, Walter Landry, Russ R. Laher, Chien-De Lee, Hsing Wen Lin, Zhong-Yi Lin, Ragnhild Lunnan, Matteo Giomi, Ashish Mahabal, Peter Mao, Adam A. Miller, Serge Monkewitz, Patrick Murphy, Chow-Choong Ngeow, Jakob Nordin, Peter Nugent, Eran Ofek, Maria T. Patterson, Bryan Penprase, Michael Porter, Ludwig Rauch, Umaa Rebbapragada, Dan Reiley, Mickael Rigault, Hector Rodriguez, Jan van Roestel, Ben Rusholme, Jakob van Santen, S. Schulze, David L. Shupe, Leo P. Singer, Maayane T. Soumagnac, Robert Stein, Jason Surace, Jesper Sollerman, Paula Szkody, F. Taddia, Scott Terek, Angela Van Sistine, Sjoert van Velzen, W. Thomas Vestrand, Richard Walters, Charlotte Ward, Quan-Zhi Ye, Po-Chieh Yu, Lin Yan, and Jeffry Zolkower · 2019
Closest in time.
Three-dimensional interstellar dust reddening maps of the Galactic plane
B. Q. Chen, Y. Huang, H. B. Yuan, C. Wang, D. W. Fan, M. S. Xiang, H. W. Zhang, Z. J. Tian, and X. W. Liu · 2019
Closest in time.
Reliable mass calculation in spherical gravitating systems
Foivos I. Diakogiannis, Geraint F. Lewis, Rodrigo A. Ibata, Magda Guglielmo, Mark I. Wilkinson, and Chris Power · 2019
Closest in time.
DeepStreaks: identifying fast-moving objects in the Zwicky Transient Facility data with deep learning
Dmitry A. Duev, Ashish Mahabal, Quanzhi Ye, Kushal Tirumala, Justin Belicki, Richard Dekany, Sara Frederick, Matthew J. Graham, Russ R. Laher, Frank J. Masci, Thomas A. Prince, Reed Riddle, Philippe Rosnet, and Maayane T. Soumagnac · 2019
Closest in time.
Forging new worlds: high-resolution synthetic galaxies with chained generative adversarial networks
Levi Fussell and Ben Moews · 2019
Closest in time.
Segmentation of dust storm areas on Mars images using principal component analysis and neural network
Ryusei Gichu and Kazunori Ogohara · 2019
Closest in time.
Systematic serendipity: a test of unsupervised machine learning as a method for anomaly detection
Daniel Giles and Lucianne Walkowicz · 2019
Closest in time.
A Machine Learning Artificial Neural Network Calibration of the Strong-Line Oxygen Abundance
I. Ting Ho · 2019
Closest in time.
LSST: From Science Drivers to Reference Design and Anticipated Data Products
Željko Ivezić and et al · 2019
Closest in time.
Evaluating the Optical Classification of Fermi BCUs Using Machine Learning
Shi-Ju Kang, Jun-Hui Fan, Weiming Mao, Qingwen Wu, Jianchao Feng, and Yue Yin · 2019
Closest in time.
A Machine Learning Based Morphological Classification of 14,245 Radio AGNs Selected from the Best-Heckman Sample
Zhixian Ma, Haiguang Xu, Jie Zhu, Dan Hu, Weitian Li, Chenxi Shan, Zhenghao Zhu, Liyi Gu, Jinjin Li, Chengze Liu, and Xiangping Wu · 2019
Closest in time.
A Machine Learning Based Morphological Classification of 14,245 Radio AGNs Selected from the Best–Heckman Sample
Zhixian Ma, Haiguang Xu, Jie Zhu, Dan Hu, Weitian Li, Chenxi Shan, Zhenghao Zhu, Liyi Gu, Jinjin Li, Chengze Liu, and Xiangping Wu · 2019
Closest in time.
Machine Learning for the Zwicky Transient Facility
Ashish Mahabal, Umaa Rebbapragada, Richard Walters, Frank J. Masci, Nadejda Blagorodnova, Jan van Roestel, Quan-Zhi Ye, Rahul Biswas, Kevin Burdge, Chan-Kao Chang, Dmitry A. Duev, V. Zach Golkhou, Adam A. Miller, Jakob Nordin, Charlotte Ward, Scott Adams, Eric C. Bellm, Doug Branton, Brian Bue, Chris Cannella, Andrew Connolly, Richard Dekany, Ulrich Feindt, Tiara Hung, Lucy Fortson, Sara Frederick, C. Fremling, Suvi Gezari, Matthew Graham, Steven Groom, Mansi M. Kasliwal, Shrinivas Kulkarni, Thomas Kupfer, Hsing Wen Lin, Chris Lintott, Ragnhild Lunnan, John Parejko, Thomas A. Prince, Reed Riddle, Ben Rusholme, Nicholas Saunders, Nima Sedaghat, David L. Shupe, Leo P. Singer, Maayane T. Soumagnac, Paula Szkody, Yutaro Tachibana, Kushal Tirumala, Sjoert van Velzen, and Darryl Wright · 2019
Closest in time.
The strong gravitational lens finding challenge
R. B. Metcalf, M. Meneghetti, C. Avestruz, F. Bellagamba, C. R. Bom, E. Bertin, R. Cabanac, F. Courbin, A. Davies, E. Decencière, R. Flamary, R. Gavazzi, M. Geiger, P. Hartley, M. Huertas-Company, N. Jackson, C. Jacobs, E. Jullo, J.-P. Kneib, L. V. E. Koopmans, F. Lanusse, C.-L. Li, Q. Ma, M. Makler, N. Li, M. Lightman, C. E. Petrillo, S. Serjeant, C. Schäfer, A. Sonnenfeld, A. Tagore, C. Tortora, D. Tuccillo, M. B. Valentín, S. Velasco-Forero, G. A. Verdoes Kleijn, and G. Vernardos · 2019
Closest in time.
The High Time Resolution Universe survey - XIV. Discovery of 23 pulsars through GPU-accelerated reprocessing
V. Morello, E. D. Barr, S. Cooper, M. Bailes, S. Bates, N. D. R. Bhat, M. Burgay, S. Burke-Spolaor, A. D. Cameron, D. J. Champion, R. P. Eatough, C. M. L. Flynn, A. Jameson, S. Johnston, M. J. Keith, E. F. Keane, M. Kramer, L. Levin, C. Ng, E. Petroff, A. Possenti, B. W. Stappers, W. van Straten, and C. Tiburzi · 2019
Closest in time.
Catalog of quasars from the Kilo-Degree Survey Data Release 3
S. Nakoneczny, M. Bilicki, A. Solarz, A. Pollo, N. Maddox, C. Spiniello, M. Brescia, and N. R. Napolitano · 2019
Closest in time.
LinKS: Discovering galaxy-scale strong lenses in the Kilo-Degree Survey using Convolutional Neural Networks
C. E. Petrillo, C. Tortora, G. Vernardos, L. V. E. Koopmans, G. Verdoes Kleijn, M. Bilicki, N. R. Napolitano, S. Chatterjee, G. Covone, A. Dvornik, T. Erben, F. Getman, B. Giblin, C. Heymans, J. T. A. de Jong, K. Kuijken, P. Schneider, H. Shan, C. Spiniello, and A. H. Wright · 2019
Closest in time.
Deblending galaxy superpositions with branched generative adversarial networks
David M. Reiman and Brett E. Göhre · 2019
Closest in time.
Probabilistic Random Forest: A Machine Learning Algorithm for Noisy Data Sets
Itamar Reis, Dalya Baron, and Sahar Shahaf · 2019
Closest in time.
DEEPSOURCE: point source detection using deep learning
A. Vafaei Sadr, Etienne E. Vos, Bruce A. Bassett, Zafiirah Hosenie, N. Oozeer, and Michelle Lochner · 2019
Closest in time.
The World-Wide Telescope
Alexander Szalay and Jim Gray · 2037
Closest in time.
Uncertainties in Parameters Estimated with Neural Networks: Application to Strong Gravitational Lensing
Laurence Perreault Levasseur, Yashar D. Hezaveh, and Risa H. Wechsler · 2041
Closest in time.
A cooperative approach among methods for photometric redshifts estimation: an application to KiDS data
S. Cavuoti, C. Tortora, M. Brescia, G. Longo, M. Radovich, N. R. Napolitano, V. Amaro, C. Vellucci, F. La Barbera, F. Getman, and A. Grado · 2053
Closest in time.