https://rafaelizbicki.com/
The 1️⃣st talk was given by our guest speaker Rafael Izbicki (@rafael-izbicki.bsky.social) from UFSCar in Brazil 🇧🇷
The 1️⃣st talk was given by our guest speaker Rafael Izbicki (@rafael-izbicki.bsky.social) from UFSCar in Brazil 🇧🇷
W/ the great Y. Xiao, G. Soares, L. Bastos & P. Moraga.
🔗 journals.plos.org/plosntds/art...
Online Tracker: diseasesurveillance.github.io/dengue-track...
W/ the great Y. Xiao, G. Soares, L. Bastos & P. Moraga.
🔗 journals.plos.org/plosntds/art...
Online Tracker: diseasesurveillance.github.io/dengue-track...
You can now get a physical copy of my book on Amazon!
amazon.com/Machine-Lear...
#MachineLearning #UncertaintyQuantification #AI #DataScience #ConformalPrediction
You can now get a physical copy of my book on Amazon!
amazon.com/Machine-Lear...
#MachineLearning #UncertaintyQuantification #AI #DataScience #ConformalPrediction
Submitted. Waited. Rejected. Revised. Accepted.
By then, 50+ citations and 1k GitHub stars. The field had moved on.
Thoughts on fixing peer review in fast-moving fields:
🔗 rizbicki.medium.com/my-paper-was...
#PeerReview
Submitted. Waited. Rejected. Revised. Accepted.
By then, 50+ citations and 1k GitHub stars. The field had moved on.
Thoughts on fixing peer review in fast-moving fields:
🔗 rizbicki.medium.com/my-paper-was...
#PeerReview
A fun and potentially transformational phy-statistics paper with Ann Lee, James Carzon, @rafael-izbicki.bsky.social, luca Masserano and @danielwhiteson.bsky.social
arxiv.org/abs/2507.17831
A fun and potentially transformational phy-statistics paper with Ann Lee, James Carzon, @rafael-izbicki.bsky.social, luca Masserano and @danielwhiteson.bsky.social
arxiv.org/abs/2507.17831
We (me + Vagner S. Santos, Thiago R Ramos, @rafael-izbicki.bsky.social ) built EPICSCORE, a method to improve conformal prediction intervals by adding epistemic uncertainty awareness.
Here’s why it matters 🧵
We (me + Vagner S. Santos, Thiago R Ramos, @rafael-izbicki.bsky.social ) built EPICSCORE, a method to improve conformal prediction intervals by adding epistemic uncertainty awareness.
Here’s why it matters 🧵
You can now get a physical copy of my book on Amazon!
📖 amazon.com/Machine-Lear...
#MachineLearning #UncertaintyQuantification #AI
You can now get a physical copy of my book on Amazon!
📖 amazon.com/Machine-Lear...
#MachineLearning #UncertaintyQuantification #AI
You can now get a physical copy of my book on Amazon!
📖 amazon.com/Machine-Lear...
#MachineLearning #UncertaintyQuantification #AI
You can now get a physical copy of my book on Amazon!
📖 amazon.com/Machine-Lear...
#MachineLearning #UncertaintyQuantification #AI
Mais estimativas em diseasesurveillance.github.io/dengue-track...
#dengue #epi #epidemiology
Mais estimativas em diseasesurveillance.github.io/dengue-track...
#dengue #epi #epidemiology
Happy to share my new book, Machine Learning Beyond Point Predictions: Uncertainty Quantification.
Tools to tackle aleatoric & epistemic uncertainties in AI. +
Happy to share my new book, Machine Learning Beyond Point Predictions: Uncertainty Quantification.
Tools to tackle aleatoric & epistemic uncertainties in AI. +
Estamos faz meses tentando dar uma dose de vacina de covid para minha filha, mas está sempre em falta. Idem para idosos.
Estamos faz meses tentando dar uma dose de vacina de covid para minha filha, mas está sempre em falta. Idem para idosos.
#RemoteSensing #MachineLearning #ForestBiomass
#RemoteSensing #MachineLearning #ForestBiomass
In our paper, we show how to build and test hypotheses of practical equivalence in nonparametric settings. 🧵
In our paper, we show how to build and test hypotheses of practical equivalence in nonparametric settings. 🧵
Our paper, "Likelihood-free frequentist inference: bridging classical statistics and machine learning for reliable simulator-based inference," is now in EJS!
Co-authored with the great N Dalmasso, @lucamasse95
, D Zhao, and A B Lee. +
Our paper, "Likelihood-free frequentist inference: bridging classical statistics and machine learning for reliable simulator-based inference," is now in EJS!
Co-authored with the great N Dalmasso, @lucamasse95
, D Zhao, and A B Lee. +
In our new paper, Gabriel O. Assunção, Marcos O. Prates, and I explore this in depth. jds-online.org/journal/JDS/...
#DataScience #MachineLearning #ImbalancedData #AI #Oversampling
In our new paper, Gabriel O. Assunção, Marcos O. Prates, and I explore this in depth. jds-online.org/journal/JDS/...
#DataScience #MachineLearning #ImbalancedData #AI #Oversampling
Palestras com @franciscorodrigues.bsky.social (ICMC-USP), Pedro L. C. Rodrigues (Inria) e Heloísa Camargo (DC-UFSCar).
Saiba mais: rafaelizbicki.com/tematico_ia/
#InteligenciaArtificial #Redes #Simulação #DataScience
Palestras com @franciscorodrigues.bsky.social (ICMC-USP), Pedro L. C. Rodrigues (Inria) e Heloísa Camargo (DC-UFSCar).
Saiba mais: rafaelizbicki.com/tematico_ia/
#InteligenciaArtificial #Redes #Simulação #DataScience
#AI #MachineLearning #Statistics
#AI #MachineLearning #Statistics
São Carlos é um polo de inovação e pesquisa, com excelente qualidade de vida. + info: concursos.ufscar.br
#concurso #estatistica #datascience #machinelearning
São Carlos é um polo de inovação e pesquisa, com excelente qualidade de vida. + info: concursos.ufscar.br
#concurso #estatistica #datascience #machinelearning
Weather forecasting websites show current conditions, but is this data being stored anywhere for future use?
#Weather #AirQuality #OpenData #Environment #Statistics #Brazil
Weather forecasting websites show current conditions, but is this data being stored anywhere for future use?
#Weather #AirQuality #OpenData #Environment #Statistics #Brazil
@jordannafa.bsky.social @skewed.de @stephenjwild.bsky.social @avehtari.bsky.social @alexpghayes.bsky.social @datavisfriendly.bsky.social @chelseaparlett.bsky.social @statsepi.bsky.social @karlrohe.bsky.social @solomonkurz.bsky.social