Pérez F., Pichara K., Huijse P., Catelan M., Mery D. (2021)
Monthly Notices of the Royal Astronomical Society 503 1 484497
Rojas F., Maurin L., Dünner R., Pichara K. (2020)
Monthly Notices of the Royal Astronomical Society 494 3 37413749
Becker I., Pichara K., Catelan M., Protopapas P., Aguirre C., Nikzat F. (2020)
Monthly Notices of the Royal Astronomical Society 493 2 2981-2995
Zorich L., Pichara K., Protopapas P. (2020)
Monthly Notices of the Royal Astronomical Society 492 2 2897-2909
Ferreira Lopez C.E., Cross N.J.G., Catelan M., Minniti D., Hempel M., Lucas P.W., Angeloni R., Jablonsky F., Braga V.F., Leão I.C., (2020)
Monthly Notices of the Royal Astronomical Society 496 2 1730-1756
Saldias-Fuentes, B., Protopapas, P., & Pichara, K. (2019, May). A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification. Proceedings of the 2019 SIAM International Conference on Data Mining (SDM) (pp. 756-764). SIAM. (2019)
Proceedings of the 2019 SIAM International Conference on Data Mining (SDM) 756-764
Pieringer C., Pichara K., Catelán M., Protopapas P. (2019)
Monthly Notices of the Royal Astronomical Society 484 3 30713077
Astudillo J., Protopapas P., Pichara K., Hujise P. (2019)
Astronomical Journal 159 1 1-14
Aguirre C., Pichara K. and Becker I. (2019)
Monthly Notices of the Royal Astronomical Society 482 4 50785092
Sandoval A., González C., Alarcón R., Pichara K. and Montenegro M. (2018)
Internet and Higher Education 37 76-89
Castro N., Protopapas P. and Pichara K. (2018)
Astronomical Journal 155 1 15pp
Peralta M., Alarcón R., Pichara K., Mery T., Bozo J. and Cano F. (2018)
IEEE Transactions on Learning Technologies 11 4 456-467
Valenzuela L. and Pichara K. (2018)
Monthly Notices of the Royal Astronomical Society 474 3 32593272
Benavente P., Protopapas P. and Pichara K. (2017)
Astrophysical Journal 845 2 84-92
Mackenzie C., Pichara K. and Protopapas P. (2016)
Astrophysical Journal 820 2 15pp
Pichara K., Protopapas P. and León D. (2016)
Astrophysical Journal 819 1 11pp
Carrasco D., Barrientos L.F., Pichara K., Anguita T., Murphy D.N.A., Gilbank D.G., Gladders M.D., Yee H.K.C., Hsieh B.C. and López S. (2015)
Astronomy & Astrophysics 584 A44 17pp
@proceeding{doi:10.1117/12.2055579, author = {Gregorio, RodrigoSolar, MauricioMardones, DiegoPichara, KarimParada, VictorContreras, Ricardo}, title = {Automatic detectionautomatic classification of structures in astronomical images}, journal = {Proc. SPIE}, volume = {9152}, number = {}, pages = {91522R-91522R-7}, abstract = {The study of the astronomical structures is important to the astronomical community because it can help to identify objects, which can be classified based on their internal structure or their relation to other objects. For this reason, it is developed an automated tool to analyze astronomical images into its components. Firstly, a 2D images is decomposed into different spatial scales based on wavelet transform. Then, it is implemented a detection algorithms to each spatial scale, such as Clumpfind, Gaussclump, or Dendrogram techniques. The goal is to build a new algorithmtool that is available to the community and satisfies the requirements of the next Chilean Virtual Observatory (ChiVO).}, year = {2014}, doi = {10.1117/12.2055579}, URL = { http://dx.doi.org/10.1117/12.2055579}, eprint = {}} (2014)
Proceedings SPIE 9152
@proceeding{doi:10.1117/12.2056766, author = {Solar, MauricioFariña, WalterMardones, DiegoAntognini, JonathanPichara, KarimNagar, NeilParada, VictorIbsen, JorgeNyman, LarsMarroquin, José}, title = {Chilean virtual observatoryintegration with ALMA}, journal = {Proc. SPIE}, volume = {9150}, number = {}, pages = {91501O-91501O-10}, abstract = {The Virtual Observatories strive to interoperate, exchange datashare services as if it was only one big VO. In this work, the state of the art of VOs will be presentedsummarized in a schematic diagram with the frequency range of the observed data that every VO publishes. Chile, currently a member of the IVOA, collaborates with the Atacama Large Millimeter/submillimeter Array (ALMA), to study and propose ways to adequate the data generated by ALMA to thedifferent data model proposed by the IVOA.}, year = {2014}, doi = {10.1117/12.2056766}, URL = { http://dx.doi.org/10.1117/12.2056766}, eprint = {}} (2014)
Proceedings SPIE 9150
Pichara K. and Soto A. (2014)
Intelligent Data Analysis
Num I., Pichara K., Protopapas P. and Kim D-W. (2014)
Astrophysical Journal 793 1 16pp
Angeloni R., Contreras Ramos R., Catelan M., DéKány I., Gran F., Alonso-García J., Hempel M., Navarrete C., Andrews H., Aparicio A., Beamín J.C., Berger C., Borissova J., Contreras Peña C., Cunial A., de Grijs R., Espinoza N., Eyheramendy S., Ferreira Lop (2014)
Astronomy & Astrophysics 567 100 11pp
Pichara K. and Protopapas P. (2013)
Astrophysical Journal 777 2
Pichara K., Protopapas P., Kim D.W., Marquette J.B. and Tisserand P. (2012)
Monthly Notices of the Royal Astronomical Society 427 2 12841297
@INPROCEEDINGS{2011rrls.conf..145C, author = {{Catelan}, M.{Minniti}, D.{Lucas}, P.~W.{Alonso-Garc{'{i}}a}, J.{Angeloni}, R.{Beam{'{i}}n}, J.~C.{Bonatto}, C.{Borissova}, J.{Contreras}, C.{Cross}, N.{D{'e}k{'a}any}, I.{Emerson}, J.~P.{Eyheramendy}, S.{Geisler}, D.{Gonz{'a}lez-Solares}, E.{Helminiak}, K.~G.{Hempel}, M.{Irwin}, M.~J.{Ivanov}, V.~D.{Jord{'a}n}, A.{Kerins}, E.{Kurtev}, R.{Mauro}, F.{Moni Bidin}, C.{Navarrete}, C.{P{'e}rez}, P.{Pichara}, K.{Read}, M.{Rejkuba}, M.{Saito}, R.~K.{Sale}, S.~E.{Toledo}, I.}, title = "{The Vista Variables in the V{'{i}}a L{'a}ctea (VVV) ESO Public Survey: Current StatusFirst Results}", booktitle = {RR Lyrae Stars, Metal-Poor Stars, and the Galaxy}, year = 2011, archivePrefix = "arXiv", eprint = {1105.1119}, primaryClass = "astro-ph.GA", editor = {{McWilliam}, A.}, month = aug, pages = {145}, adsurl = {http://adsabs.harvard.edu/abs/2011rrls.conf..145C}, adsnote = {Provided by the SAO/NASA Astrophysics Data System}} (2012)
RR Lyrae Stars, Metal-Poor Stars, and the Galaxy 5 145
Pichara K. and Soto A. (2011)
Intelligent Data Analysis 15 2 151-171
