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Ishida, 2019

Machine learning and the future of supernova cosmology

de Souza and Ishida, 2014

Making sense of massive unknowns

Ishida, 2015

Plutao ainda tem muito a nos revelar


de Souza et al., 2015

Survey of scientific working environment in the Brazilian astronomical Community


Ishida, 2015

Pesquisadores brasileiros investigam a estrutura da Via-Lactea


Ishida, 2015

Planetas semelhantes à Terra existiram por quase toda história do Universo


de Souza & Ishida, 2014

Making sense of massive unknowns


Ishida, 2014

Laniakea: um super-aglomerado para chamar de lar


de Souza & Ishida, 2010

Portuguese translation of Richard Murphy’s poem Sailing to an Island

Pessi et al., 2024

ELEPHANT: ExtragaLactic alErt Pipeline for Hostless AstroNomical Transients

Fraga et al., 2024

Transient Classifiers for Fink: Benchmarks for LSST


Voloshina, Lavrukhina et al., 2024

​M-dwarf flares in the Zwicky Transient Facility data and what we can learn from them


Russeil et al., 2024

Multi-View Symbolic Regression

Kuhn et al., 2024

The 2022-2023 accretion outburst of the young star V1741 Sgr

Biswas et al., 2023

Bayesian multi-band fitting of alerts for kilonovae detection

Russeil et al., 2023

Rainbow: a colorful approach on multi-passband light curve estimation

Xu et al., 2023

From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain Adaptation

Biswas et al., 2023

Enabling the discovery of fast transients: A kilonova science module for the Fink broker

Hlozek et al., 2023

Results of the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC)

Volnova et al., 2023

The Most Interesting Anomalies Discovered in ZTF DR17 from the SNAD-VI Workshop

de Souza et al., 2023

A graph-based spectral classification of Type II supernovae

Malz et al., 2023

Are classification metrics good proxies for SN Ia cosmological constraining power?

Kilbinger et al., 2023

Sidestepping the inversion of the weak-lensing covariance matrix with Approximate Bayesian Computation

Pruzhinskaya et al., 2023

Supernova search with active learning in ZTF DR3

Malanchev et al., 2023

The SNAD Viewer: Everything You Want to Know about Your Favorite ZTF Object

Kuhn et al., 2023

Spectroscopic Confirmation of a Population of Isolated, Intermediate-Mass YSOs

Russeil et al., 2022

Finding active galactic nuclei through Fink

Pruzhinskaya et al., 2022

Could SNAD160 be a Pair-instability Supernova?

Delli Veneri et al., 2022

How have astronomers cited other fields in the last decade?

Leoni et al., 2022

Fink: early supernovae Ia classification using active learning

Aleo et al., 2022

SNAD Transient Miner: Finding Missed Transient Events in ZTF DR4 using k-D trees

de Souza et al., 2021

Probabilistic Modeling of Asteroid Diameters from Gaia DR2 Errors

Kuhn et al., 2021

A high pitch angle structure in the Sagittarius Arm

Malanchev et al., 2021

Anomaly detection in the Zwicky Transient Facility DR3

Moews et al., 2021

Ridges in the Dark Energy Survey for cosmic trough identification

Kuhn et al., 2021

SPICY: The Spitzer/IRAC Candidate YSO Catalog
for the Inner Galactic Midplane

Ishida et al., 2021

Active Anomaly Detection for time-domain discoveries

Acquaviva. Lovell and Ishida, 2020

Debunking Generalization Error or: How I Learned to Stop Worrying and Love My Training Set

Kennamer, Ishida et al., 2020

Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients

Moller et al., 2020

Fink, a new generation of broker for the LSST community

Aleo et al., 2020

The Most Interesting Anomalies Discovered in ZTF DR3 from the SNAD-III Workshop

Delli Veneri et al., 2020

Periodic Astrometric Signal Recovery through Convolutional Autoencoders

Feigelson et al., 2020

21st Century Statistical and Computational Challenges in Astrophysics

Pruzhinskaya et al., 2019

Anomaly Detection in the Open Supernova Catalog


Boucaud et al., 2019

Photometry of high-redshift blended galaxies using deep learning

Kessler et al., 2019

Models and Simulations for the Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC)

Ishida et al., 2019

Optimizing spectroscopic follow-up strategies for supernova photometric classification with active learning

Gonzalez-Gaitan et al., 2019

Spatial field reconstruction with INLA: Application to IFU galaxy data

Malz et al., 2019

The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Selection of a performance metric for classification probabilities balancing diverse science goals

Moews et al., 2019

Stress testing the dark energy equation of state imprint on supernova data

Cantat-Gaudin et al., 2019

Gaia DR2 unravels incompleteness of nearby cluster population: New open clusters in the direction of Perseus

The PLAsTiCC team, 2018

The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Data set

Beck, Lin, Ishida et al., 2017

On the realistic validation of photometric redshifts, or why Teddy will never be Happy

Dhar Gupta et al., 2017

Automated supernova Ia classification using adaptive learning techniques


Sasdelli et al., 2017

A metric space for Type Ia supernova spectra: a new method to assess explosion scenarios

Henne et al., 2017

The influence of host galaxy morphology on the properties of Type Ia supernovae from the JLA compilation


Tartaglia et al., 2016

The supernova impostor PSN J09132750+7627410 and its progenitor


Sasdelli, Ishida et al., 2016

Breaking the color-reddening degeneracy in type Ia supernovae


Bhardwaj et al., 2016

Large Magellanic Cloud Near-Infrared Synoptic Survey. III. A Statistical Study of Non-Linearity in the Leavitt Laws


Sasdelli, Ishida et al., 2016

Exploring the spectroscopic diversity of type Ia supernovae with DRACULA: a machine learning approach


Pastorello et al., 2015

Massive stars exploding in a He-rich circumstellar medium - VIII. PSN J07285387+3349106, a highly reddened supernova Ibn


Pastorello et al., 2015

Massive stars exploding in a He-rich circumstellar medium - VII. The metamorphosis of ASASSN-15ed from a narrow line Type Ibn to a normal Type Ib Supernova


de Souza et al., 2015

The overlooked potential of Generalized Linear Models in astronomy-III: Bayesian Negative Binomial Regression and Globular Cluster Populations


Ishida et al., 2015

cosmoabc: Likelihood-free inference via Population Monte Carlo Approximate Bayesian Computation


Elliott et al., 2015

The overlooked potential of Generalized Linear Models in astronomy-II: Gamma regression and photometric redshifts


Sasdelli et al., 2015

A metric space for Type Ia supernova spectra


Krone-Martins, Ishida & de Souza, 2014

The first analytical expression to estimate photometric redshifts suggested by a machine


de Souza et al., 2014

Probing the stellar initial mass function with high-z supernovae


de Souza et al., 2013

Detectability of the first cosmic explosions


Benitez-Herrera et al., 2013

Cosmological parameter estimation from SN Ia data: a model-independent approach


Ishida & de Souza, 2013

Kernel PCA for Type Ia supernovae photometric classification


de Souza et al., 2012

Searching for the first stars with the Gaia mission


Ishida, de Souza & Ferrara, 2011

Probing cosmic star formation up to z= 9.4 with gamma-ray bursts


de Souza et al., 2011

The effect of a single supernova explosion on the cuspy density profile of a small-mass dark matter halo


Ishida & de Souza, 2011

Hubble parameter reconstruction from a principal component analysis: minimizing the bias


de Souza & Ishida, 2010

An analytical approach to the dwarf galaxies cusp problem


Ishida et al., 2008

When did cosmic acceleration start? How fast was the transition?


Ishida, 2005

Statefinder Revisited

General  Publications
Academic Publications 

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