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ORCIDEmille E. O. Ishida
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2020 – today
- 2024
[c8]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- [i9]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 abs/2402.04298 (2024) - [i8]Matwey V. Kornilov, Vladimir S. Korolev, Konstantin L. Malanchev, A. D. Lavrukhina, Etienne Russeil, T. A. Semenikhin, Emmanuel Gangler, Emille E. O. Ishida, Maria V. Pruzhinskaya, Alina A. Volnova, Sreevarsha Sreejith:
Coniferest: a complete active anomaly detection framework. CoRR abs/2410.17142 (2024) - [i7]Alina A. Volnova, Patrick D. Aleo, Anastasia Lavrukhina, Etienne Russeil, Timofey Semenikhin, Emmanuel Gangler, Emille E. O. Ishida, Matwey V. Kornilov, Vladimir S. Korolev, Konstantin L. Malanchev, Maria V. Pruzhinskaya, Sreevarsha Sreejith:
Exploring the Universe with SNAD: Anomaly Detection in Astronomy. CoRR abs/2410.18875 (2024) - 2023
- [j4]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: 100705 (2023) - [j3]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: 100715 (2023) - [i6]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 abs/2303.08627 (2023) - 2022
- [i5]Michael Franklin Mbouopda, Emille E. O. Ishida, Engelbert Mephu Nguifo, Emmanuel Gangler:
Explainable classification of astronomical uncertain time series. CoRR abs/2210.00869 (2022) - 2021
- [c7]Emille E. O. Ishida:
The Role of the Human Expert in the Era of Big Data (keynote abstract). DAMDID/RCDL (Supplementary Proceedings) 2021: 2 - [i4]Marco Leoni, Emille E. O. Ishida, Julien Peloton, Anais Möller:
Fink: early supernovae Ia classification using active learning. CoRR abs/2111.11438 (2021) - 2020
- [c6]Noble Kennamer, Emille E. O. Ishida, Santiago Gonzalez-Gaitan, Rafael S. de Souza, Alexander 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: 3115-3124 - [i3]Noble Kennamer, Emille E. O. Ishida, Santiago Gonzalez-Gaitan, Rafael S. de Souza, Alexander 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 abs/2010.05941 (2020)
2010 – 2019
- 2019
- [c5]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: 97-107 - [c4]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: 205-216 - [i2]Emille E. O. Ishida:
Machine Learning and the future of Supernova Cosmology. CoRR abs/1908.02315 (2019) - [i1]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 abs/1909.13260 (2019) - 2017
- [c3]Ricardo Vilalta, Emille E. O. Ishida, Róbert Beck, R. Sutrisno, Rafael S. de Souza, Ashish Mahabal:
Photometric redshift estimation: An active learning approach. SSCI 2017: 1-8 - 2016
- [c2]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: 247-252 - [c1]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: 1-8 - 2015
- [j2]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: 61-72 (2015) - [j1]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: 1-11 (2015)
Coauthor Index
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