| Exclusion of a luminous red giant as a companion star to the progenitor of supernova SN 2011fe W Li, JS Bloom, P Podsiadlowski, AA Miller, SB Cenko, SW Jha, ... Nature 480 (7377), 348-350, 2011 | 374 | 2011 |
| On machine-learned classification of variable stars with sparse and noisy time-series data JW Richards, DL Starr, NR Butler, JS Bloom, JM Brewer, A Crellin-Quick, ... The Astrophysical Journal 733 (1), 10, 2011 | 364 | 2011 |
| Real-world machine learning H Brink, J Richards, M Fetherolf Simon and Schuster, 2016 | 268 | 2016 |
| Automating discovery and classification of transients and variable stars in the synoptic survey era JS Bloom, JW Richards, PE Nugent, RM Quimby, MM Kasliwal, DL Starr, ... Publications of the Astronomical Society of the Pacific 124 (921), 1175, 2012 | 241 | 2012 |
| Results from the supernova photometric classification challenge R Kessler, B Bassett, P Belov, V Bhatnagar, H Campbell, A Conley, ... Publications of the Astronomical Society of the Pacific 122 (898), 1415, 2010 | 212 | 2010 |
| Using machine learning for discovery in synoptic survey imaging data H Brink, JW Richards, D Poznanski, JS Bloom, J Rice, S Negahban, ... Monthly Notices of the Royal Astronomical Society 435 (2), 1047-1060, 2013 | 148 | 2013 |
| Construction of a calibrated probabilistic classification catalog: application to 50k variable sources in the all-sky automated survey JW Richards, DL Starr, AA Miller, JS Bloom, NR Butler, H Brink, ... The Astrophysical Journal Supplement Series 203 (2), 32, 2012 | 125 | 2012 |
| First searches for optical counterparts to gravitational-wave candidate events J Aasi, J Abadie, BP Abbott, R Abbott, T Abbott, MR Abernathy, T Accadia, ... The Astrophysical Journal Supplement Series 211 (1), 7, 2014 | 104 | 2014 |
| Active learning to overcome sample selection bias: application to photometric variable star classification JW Richards, DL Starr, H Brink, AA Miller, JS Bloom, NR Butler, JB James, ... The Astrophysical Journal 744 (2), 192, 2011 | 92 | 2011 |
| From Laboratory to Applications: Challenges and Progress with in vitro Dual Cultures of Potato and Beneficial Bacteria J Nowak, SK Asiedu, S Bensalim, J Richards, A Stewart, C Smith, ... Pathogen and microbial contamination management in micropropagation, 321-329, 1997 | 82 | 1997 |
| Semi-supervised learning for photometric supernova classification JW Richards, D Homrighausen, PE Freeman, CM Schafer, D Poznanski Monthly Notices of the Royal Astronomical Society 419 (2), 1121-1135, 2012 | 77 | 2012 |
| Drug survival associated with effectiveness and safety of treatment with guselkumab, ixekizumab, secukinumab, ustekinumab, and adalimumab in patients with psoriasis ZZN Yiu, G Becher, B Kirby, P Laws, NJ Reynolds, CH Smith, RB Warren, ... JAMA dermatology 158 (10), 1131-1141, 2022 | 75 | 2022 |
| Exploiting low-dimensional structure in astronomical spectra JW Richards, PE Freeman, AB Lee, CM Schafer The Astrophysical Journal 691 (1), 32, 2009 | 66 | 2009 |
| Evidence for dust destruction from the early-time colour change of GRB 120119A AN Morgan, DA Perley, SB Cenko, JS Bloom, A Cucchiara, JW Richards, ... Monthly Notices of the Royal Astronomical Society 440 (2), 1810-1823, 2014 | 61 | 2014 |
| Photometric redshift estimation using spectral connectivity analysis PE Freeman, JA Newman, AB Lee, JW Richards, CM Schafer Monthly Notices of the Royal Astronomical Society 398 (4), 2012-2021, 2009 | 60 | 2009 |
| The XMM Cluster Survey: The stellar mass assembly of fossil galaxies CD Harrison, CJ Miller, JW Richards, EJ Lloyd-Davies, B Hoyle, ... The Astrophysical Journal 752 (1), 12, 2012 | 58 | 2012 |
| Discovery and early multi-wavelength measurements of the energetic type Ic supernova PTF12gzk: a massive-star explosion in a dwarf host galaxy S Ben-Ami, A Gal-Yam, AV Filippenko, PA Mazzali, M Modjaz, O Yaron, ... The Astrophysical Journal Letters 760 (2), L33, 2012 | 56 | 2012 |
| A machine-learning method to infer fundamental stellar parameters from photometric light curves AA Miller, JS Bloom, JW Richards, YS Lee, DL Starr, NR Butler, S Tokarz, ... The Astrophysical Journal 798 (2), 122, 2015 | 47 | 2015 |
| Effect of alteplase on the CT hyperdense artery sign and outcome after ischemic stroke G Mair, R von Kummer, Z Morris, A von Heijne, N Bradey, L Cala, ... Neurology 86 (2), 118-125, 2016 | 41 | 2016 |
| Data mining and machine-learning in time-domain discovery & classification J Bloom, J Richards Advances in Machine Learning and Data Mining for Astronomy, 89-112, 2011 | 40 | 2011 |
Joshua S. BloomProfessor of Astronomy, UC Berkeley在 berkeley.edu 的电子邮件经过验证
