Emille E. O. Ishida

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 17

Top Topics

Top Venues

Astron. Comput.

DAMDID/RCDL (Supplementary Proceedings)

Publications

Etienne Russeil, Fabrício Olivetti de França, Konstantin L. Malanchev, Bogdan Burlacu, Emille E. O. Ishida, Marion Leroux, Clément Michelin, Guillaume Moinard, Emmanuel Gangler
Multi-View Symbolic Regression. CoRR (2024)
Etienne Russeil, Fabrício Olivetti de França, Konstantin L. Malanchev, Bogdan Burlacu, Emille E. O. Ishida, Marion Leroux, Clément Michelin, Guillaume Moinard, Emmanuel Gangler
Multiview Symbolic Regression. GECCO (2024)
Rafael S. de Souza, S. Thorp, Lluís Galbany, Emille E. O. Ishida, Santiago Gonzalez-Gaitan, M. A. Schmitz, Alberto Krone-Martins, C. Peters
A graph-based spectral classification of Type II supernovae. Astron. Comput. 44 (2023)
Quanfeng Xu, Shiyin Shen, Rafael S. de Souza, Mi Chen, Renhao Ye, Yumei She, Zhu Chen, Emille E. O. Ishida, Alberto Krone-Martins, Rupesh Durgesh
From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain Adaptation. CoRR (2023)
Martin Kilbinger, Emille E. O. Ishida, Jessi Cisewski-Kehe
Sidestepping the inversion of the weak-lensing covariance matrix with Approximate Bayesian Computation. Astron. Comput. 43 (2023)
Michael Franklin Mbouopda, Emille E. O. Ishida, Engelbert Mephu Nguifo, Emmanuel Gangler
Explainable classification of astronomical uncertain time series. CoRR (2022)
Emille E. O. Ishida
The Role of the Human Expert in the Era of Big Data (keynote abstract). DAMDID/RCDL (Supplementary Proceedings) (2021)
Marco Leoni, Emille E. O. Ishida, Julien Peloton, Anais Möller
Fink: early supernovae Ia classification using active learning. CoRR (2021)
Noble Kennamer, Emille E. O. Ishida, Santiago Gonzalez-Gaitan, Rafael S. de Souza, Alexander T. Ihler, Kara Ponder, Ricardo Vilalta, Anais Möller, David O. Jones, Mi Dai, Alberto Krone-Martins, Bruno Quint, Sreevarsha Sreejith, Alex I. Malz, Lluís Galbany
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients. CoRR (2020)
Noble Kennamer, Emille E. O. Ishida, Santiago Gonzalez-Gaitan, Rafael S. de Souza, Alexander T. Ihler, Kara Ponder, Ricardo Vilalta, Anais Möller, David O. Jones, Mi Dai, Alberto Krone-Martins, Bruno Quint, Sreevarsha Sreejith, Alex I. Malz, Lluís Galbany
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients. SSCI (2020)
Konstantin L. Malanchev, Alina A. Volnova, Matwey V. Kornilov, Maria V. Pruzhinskaya, Emille E. O. Ishida, Florian Mondon, Vladimir S. Korolev
Use of Machine Learning for Anomaly Detection Problem in Large Astronomical Databases. DAMDID/RCDL (2019)
Konstantin L. Malanchev, Vladimir S. Korolev, Matwey V. Kornilov, Emille E. O. Ishida, Anastasia Malancheva, Florian Mondon, Maria V. Pruzhinskaya, Sreevarsha Sreejith, Alina Volnova
Realization of Different Techniques for Anomaly Detection in Astronomical Databases. DAMDID/RCDL (Selected Papers) (2019)
Emille E. O. Ishida
Machine Learning and the future of Supernova Cosmology. CoRR (2019)
Emille E. O. Ishida, Matwey V. Kornilov, Konstantin L. Malanchev, Maria V. Pruzhinskaya, Alina A. Volnova, Vladimir S. Korolev, Florian Mondon, Sreevarsha Sreejith, Anastasia Malancheva, Shubhomoy Das
Active Anomaly Detection for time-domain discoveries. CoRR (2019)
Ricardo Vilalta, Emille E. O. Ishida, R. Beck, R. Sutrisno, Rafael S. de Souza, Ashish Mahabal
Photometric redshift estimation: An active learning approach. SSCI (2017)
Emille E. O. Ishida, Michele Sasdelli, Ricardo Vilalta, Michel Aguena, Vinicius C. Busti, Hugo Camacho, Arlindo M. M. Trindade, Fabian Gieseke, Rafael S. de Souza, Yabebal T. Fantaye, Paolo A. Mazzali
Exploring the spectroscopic diversity of type Ia supernovae with Deep Learning and Unsupervised Clustering. Astroinformatics (2016)
Kinjal Dhar Gupta, Renuka Pampana, Ricardo Vilalta, Emille E. O. Ishida, Rafael S. de Souza
Automated supernova Ia classification using adaptive learning techniques. SSCI (2016)
Emille E. O. Ishida, Sandro D. P. Vitenti, Mariana Penna-Lima, Jessi Cisewski, Rafael S. de Souza, Arlindo M. M. Trindade, Ewan Cameron, Vinicius C. Busti
cosmoabc: Likelihood-free inference via Population Monte Carlo Approximate Bayesian Computation. Astron. Comput. 13 (2015)
Jonathan Elliott, Rafael S. de Souza, Alberto Krone-Martins, Ewan Cameron, Emille E. O. Ishida, Joseph M. Hilbe
The overlooked potential of Generalized Linear Models in astronomy-II: Gamma regression and photometric redshifts. Astron. Comput. 10 (2015)