The overlooked potential of Generalized Linear Models in astronomy-II: Gamma regression and photometric redshifts. - Jonathan Elliott; Rafael S. de Souza; Alberto Krone-Martins; Ewan Cameron; Emille E. O. Ishida; Joseph M. Hilbe (Astron. Comput., 2015)

cosmoabc: Likelihood-free inference via Population Monte Carlo Approximate Bayesian Computation. - 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 (Astron. Comput., 2015)

Exploring the spectroscopic diversity of type Ia supernovae with Deep Learning and Unsupervised Clustering. - 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 (Astroinformatics, 2016)

Automated supernova Ia classification using adaptive learning techniques. - Kinjal Dhar Gupta; Renuka Pampana; Ricardo Vilalta; Emille E. O. Ishida; Rafael S. de Souza (SSCI, 2016)

Photometric redshift estimation: An active learning approach. - Ricardo Vilalta; Emille E. O. Ishida; Róbert Beck; R. Sutrisno; Rafael S. de Souza; Ashish Mahabal (SSCI, 2017)

Realization of Different Techniques for Anomaly Detection in Astronomical Databases. - Konstantin L. Malanchev; Vladimir S. Korolev; Matwey V. Kornilov; Emille E. O. Ishida; Anastasia Malancheva; Florian Mondon; Maria V. Pruzhinskaya; Sreevarsha Sreejith; Alina Volnova (DAMDID/RCDL (Selected Papers), 2019)

Use of Machine Learning for Anomaly Detection Problem in Large Astronomical Databases. - Konstantin L. Malanchev; Alina A. Volnova; Matwey V. Kornilov; Maria V. Pruzhinskaya; Emille E. O. Ishida; Florian Mondon; Vladimir S. Korolev (DAMDID/RCDL, 2019)

Machine Learning and the future of Supernova Cosmology. - Emille E. O. Ishida (CoRR, 2019)

Active Anomaly Detection for time-domain discoveries. - 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 (CoRR, 2019)

Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients. - 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; et al. (SSCI, 2020)

The Role of the Human Expert in the Era of Big Data (keynote abstract). - Emille E. O. Ishida (DAMDID/RCDL (Supplementary Proceedings), 2021)

Fink: early supernovae Ia classification using active learning. - Marco Leoni; Emille E. O. Ishida; Julien Peloton; Anais Möller (CoRR, 2021)

Explainable classification of astronomical uncertain time series. - Michael Franklin Mbouopda; Emille E. O. Ishida; Engelbert Mephu Nguifo; Emmanuel Gangler (CoRR, 2022)

Sidestepping the inversion of the weak-lensing covariance matrix with Approximate Bayesian Computation. - Martin Kilbinger; Emille E. O. Ishida; Jessi Cisewski-Kehe (Astron. Comput., 2023)

From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain Adaptation. - 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 (CoRR, 2023)

A graph-based spectral classification of Type II supernovae. - Rafael S. de Souza; S. Thorp; Lluís Galbany; Emille E. O. Ishida; Santiago Gonzalez-Gaitan; M. A. Schmitz; Alberto Krone-Martins; C. Peters (Astron. Comput., 2023)

Multiview Symbolic Regression. - Etienne Russeil; Fabrício Olivetti de França; Konstantin L. Malanchev; Bogdan Burlacu; Emille E. O. Ishida; Marion Leroux; Clément Michelin; Guillaume Moinard; Emmanuel Gangler (GECCO, 2024)

Multi-View Symbolic Regression. - Etienne Russeil; Fabrício Olivetti de França; Konstantin L. Malanchev; Bogdan Burlacu; Emille E. O. Ishida; Marion Leroux; Clément Michelin; Guillaume Moinard; Emmanuel Gangler (CoRR, 2024)

Exploring the Universe with SNAD: Anomaly Detection in Astronomy. - Alina A. Volnova; Patrick D. Aleo; Anastasia D. Lavrukhina; Etienne Russeil; Timofey A. Semenikhin; Emmanuel Gangler; Emille E. O. Ishida; Matwey V. Kornilov; Vladimir S. Korolev; Konstantin L. Malanchev; Maria V. Pruzhinskaya; Sreevarsha Sreejith (CoRR, 2024)

From Galaxy Zoo DECaLS to BASS/MzLS: detailed galaxy morphology classification with unsupervised domain adaption. - Renhao Ye; Shiyin Shen; Rafael S. de Souza; Quanfeng Xu; Mi Chen; Zhu Chen; Emille E. O. Ishida; Alberto Krone-Martins; Rupesh Durgesh (CoRR, 2024)

Coniferest: A complete active anomaly detection framework. - Matwey V. Kornilov; Vladimir S. Korolev; Konstantin L. Malanchev; Anastasia D. Lavrukhina; Etienne Russeil; Timofey A. Semenikhin; Emmanuel Gangler; Emille E. O. Ishida; Maria V. Pruzhinskaya; Alina A. Volnova; Sreevarsha Sreejith (Astron. Comput., 2025)

Real-bogus scores for active anomaly detection. - Timofey A. Semenikhin; Matwey V. Kornilov; Maria V. Pruzhinskaya; Anastasia D. Lavrukhina; Etienne Russeil; Emmanuel Gangler; Emille E. O. Ishida; Vladimir S. Korolev; Konstantin L. Malanchev; Alina A. Volnova; Sreevarsha Sreejith (Astron. Comput., 2025)

Signatures to help interpretability of anomalies. - Emmanuel Gangler; Emille E. O. Ishida; Matwey V. Kornilov; Vladimir S. Korolev; Anastasia D. Lavrukhina; Konstantin L. Malanchev; Maria V. Pruzhinskaya; Etienne Russeil; Timofey A. Semenikhin; Sreevarsha Sreejith; Alina A. Volnova (CoRR, 2025)

What ZTF Saw Where Rubin Looked: Anomaly Hunting in DR23. - Maria V. Pruzhinskaya; Anastasia D. Lavrukhina; Timofey A. Semenikhin; Alina A. Volnova; Sreevarsha Sreejith; Vadim V. Krushinsky; Emmanuel Gangler; Emille E. O. Ishida; Matwey V. Kornilov; Konstantin L. Malanchev (CoRR, 2025)