Bianca Zadrozny | DeepAI

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Featured Co-authors

Hongzhi Wang
60 publications
John Langford
58 publications
Tanveer Syeda-Mahmood
25 publications
Ken C. L. Wong
15 publications
Emilio Vital Brazil
11 publications
Daniel Civitarese
8 publications
Dario Augusto Borges Oliveira
8 publications
Campbell Watson
7 publications
Daniela Szwarcman
7 publications
Claudio Pinhanez
7 publications
Eduardo Rodrigues
6 publications

∙ 03/28/2022

Wildfire risk forecast: An optimizable fire danger index

Wildfire events have caused severe losses in many places around the worl...

0 Eduardo Rodrigues, et al. ∙

∙ 12/10/2021

Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion

Global warming leads to the increase in frequency and intensity of clima...

0 Ken C. L. Wong, et al. ∙

∙ 07/30/2021

Controlling Weather Field Synthesis Using Variational Autoencoders

One of the consequences of climate change is anobserved increase in the ...

0 Dario Augusto Borges Oliveira, et al. ∙

∙ 07/16/2021

A comparative study of stochastic and deep generative models for multisite precipitation synthesis

Future climate change scenarios are usually hypothesized using simulatio...

0 Jorge Guevara, et al. ∙

∙ 07/14/2021

Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network

An impact of climate change is the increase in frequency and intensity o...

0 Daniel Salles Civitarese, et al. ∙

∙ 06/21/2021

Decadal Forecasts with ResDMD: a Residual DMD Neural Network

Operational forecasting centers are investing in decadal (1-10 year) for...

0 Eduardo Rodrigues, et al. ∙

∙ 02/17/2021

Geostatistical Learning: Challenges and Opportunities

Statistical learning theory provides the foundation to applied machine l...

0 Júlio Hoffimann, et al. ∙

∙ 02/05/2021

A modular framework for extreme weather generation

Extreme weather events have an enormous impact on society and are expect...

7 Bianca Zadrozny, et al. ∙

∙ 07/03/2019

Learning Multi-Party Turn-Taking Models from Dialogue Logs

This paper investigates the application of machine learning (ML) techniq...

0 Maira Gatti de Bayser, et al. ∙

∙ 05/10/2019

Semantic Segmentation of Seismic Images

Almost all work to understand Earth's subsurface on a large scale relies...

0 Daniel Civitarese, et al. ∙

∙ 05/15/2017

A data-driven workflow for predicting horizontal well production using vertical well logs

In recent work, data-driven sweet spotting technique for shale plays pre...

0 Jorge Guevara, et al. ∙

∙ 06/27/2012

Predicting Conditional Quantiles via Reduction to Classification

We show how to reduce the process of predicting general order statistics...

0 John Langford, et al. ∙

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