Astronomer working on the development of interdisciplinary science environments
Emille E. O. Ishida
Plutao ainda tem muito a nos revelar
Survey of scientific working environment in the Brazilian astronomical Community
Pesquisadores brasileiros investigam a estrutura da Via-Lactea
Planetas semelhantes à Terra existiram por quase toda história do Universo
Making sense of massive unknowns
Laniakea: um super-aglomerado para chamar de lar
Portuguese translation of Richard Murphy’s poem Sailing to an Island
The Lutheran church and the birth of modern astronomy
Sidestepping the inversion of the weak-lensing covariance matrix with Approximate Bayesian Computation
Fink: early supernovae Ia classification using active learning
SNAD Transient Miner: Finding Missed Transient Events in ZTF DR4 using k-D trees
Probabilistic Modeling of Asteroid Diameters from Gaia DR2 Errors
A high pitch angle structure in the Sagittarius Arm
Anomaly detection in the Zwicky Transient Facility DR3
Ridges in the Dark Energy Survey for cosmic trough identification
Results of the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC)
Acquaviva. Lovell and Ishida, 2020
Debunking Generalization Error or: How I Learned to Stop Worrying and Love My Training Set
SPICY: The Spitzer/IRAC Candidate YSO Catalog
for the Inner Galactic Midplane
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients
Fink, a new generation of broker for the LSST community
The Most Interesting Anomalies Discovered in ZTF DR3 from the SNAD-III Workshop
Periodic Astrometric Signal Recovery through Convolutional Autoencoders
21st Century Statistical and Computational Challenges in Astrophysics
Active Anomaly Detection for time-domain discoveries
Machine learning and the future of supernova cosmology
Anomaly Detection in the Open Supernova Catalog
Photometry of high-redshift blended galaxies using deep learning
Models and Simulations for the Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC)
Optimizing spectroscopic follow-up strategies for supernova photometric classification with active learning
Spatial field reconstruction with INLA: Application to IFU galaxy data
The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Selection of a performance metric for classification probabilities balancing diverse science goals
Stress testing the dark energy equation of state imprint on supernova data
Gaia DR2 unravels incompleteness of nearby cluster population: New open clusters in the direction of Perseus
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
Automated supernova Ia classification using adaptive learning techniques
A metric space for Type Ia supernova spectra: a new method to assess explosion scenarios
The influence of host galaxy morphology on the properties of Type Ia supernovae from the JLA compilation
The supernova impostor PSN J09132750+7627410 and its progenitor
Breaking the color-reddening degeneracy in type Ia supernovae
Large Magellanic Cloud Near-Infrared Synoptic Survey. III. A Statistical Study of Non-Linearity in the Leavitt Laws
Exploring the spectroscopic diversity of type Ia supernovae with DRACULA: a machine learning approach
Massive stars exploding in a He-rich circumstellar medium - VIII. PSN J07285387+3349106, a highly reddened supernova Ibn
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
The overlooked potential of Generalized Linear Models in astronomy-III: Bayesian Negative Binomial Regression and Globular Cluster Populations
cosmoabc: Likelihood-free inference via Population Monte Carlo Approximate Bayesian Computation
The overlooked potential of Generalized Linear Models in astronomy-II: Gamma regression and photometric redshifts
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
Probing the stellar initial mass function with high-z supernovae
Detectability of the first cosmic explosions
Cosmological parameter estimation from SN Ia data: a model-independent approach
Kernel PCA for Type Ia supernovae photometric classification
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
The effect of a single supernova explosion on the cuspy density profile of a small-mass dark matter halo
Hubble parameter reconstruction from a principal component analysis: minimizing the bias
An analytical approach to the dwarf galaxies cusp problem
When did cosmic acceleration start? How fast was the transition?
Statefinder Revisited
General Publications
