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Ishida, 2019

Machine learning and the future of supernova cosmology

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de Souza and Ishida, 2014

Making sense of massive unknowns

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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

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

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Kuhn et al., 2024

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

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Biswas et al., 2023

Bayesian multi-band fitting of alerts for kilonovae detection

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Russeil et al., 2023

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

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Xu et al., 2023

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

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Biswas et al., 2023

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

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Hlozek et al., 2023

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

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Volnova et al., 2023

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

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de Souza et al., 2023

A graph-based spectral classification of Type II supernovae

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Malz et al., 2023

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

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Kilbinger et al., 2023

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

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Pruzhinskaya et al., 2023

Supernova search with active learning in ZTF DR3

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Malanchev et al., 2023

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

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Kuhn et al., 2023

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

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Russeil et al., 2022

Finding active galactic nuclei through Fink

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Pruzhinskaya et al., 2022

Could SNAD160 be a Pair-instability Supernova?

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Delli Veneri et al., 2022

How Have Astronomers Cited Other Fields in the Last Decade?

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Delli Veneri et al., 2022

How have astronomers cited other fields in the last decade?

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Leoni et al., 2022

Fink: early supernovae Ia classification using active learning

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Aleo et al., 2022

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

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de Souza et al., 2021

Probabilistic Modeling of Asteroid Diameters from Gaia DR2 Errors

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Kuhn et al., 2021

A high pitch angle structure in the Sagittarius Arm

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Malanchev et al., 2021

Anomaly detection in the Zwicky Transient Facility DR3

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Moews et al., 2021

Ridges in the Dark Energy Survey for cosmic trough identification

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Kuhn et al., 2021

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

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Ishida et al., 2021

Active Anomaly Detection for time-domain discoveries

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Acquaviva. Lovell and Ishida, 2020

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

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Kennamer, Ishida et al., 2020

Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients

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Moller et al., 2020

Fink, a new generation of broker for the LSST community

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Aleo et al., 2020

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

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Delli Veneri et al., 2020

Periodic Astrometric Signal Recovery through Convolutional Autoencoders

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Feigelson et al., 2020

21st Century Statistical and Computational Challenges in Astrophysics

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Pruzhinskaya et al., 2019

Anomaly Detection in the Open Supernova Catalog

 

Boucaud et al., 2019

Photometry of high-redshift blended galaxies using deep learning

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Kessler et al., 2019

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

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Ishida et al., 2019

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

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Gonzalez-Gaitan et al., 2019

Spatial field reconstruction with INLA: Application to IFU galaxy data

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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

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Moews et al., 2019

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

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Cantat-Gaudin et al., 2019

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

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The PLAsTiCC team, 2018

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

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Beck, Lin, Ishida et al., 2017

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

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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

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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 

PUBLICATIONS
 
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