Publications

This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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9 results for Daniel Salles Civitarese

Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network
- - Daniel Salles Civitarese
  - Daniela Szwarcman
  - et al.
- 2021
- ICML 2021
Machine learning derived sub-seasonal to seasonal extremes
- - Daniel Salles Civitarese
  - Bianca Zadrozny
- 2023
- NeurIPS 2023
Managing Data Traceability in the Data Lifecycle for Deep Learning Applied to Seismic Data
- - Renan Francisco Santos Souza
  - Emilio Ashton Vital Brazil
  - et al.
- 2019
- ACE 2019
S2S Extreme Weather Featurization: A Global Skill Assessment Study
- - Zubeida Patel
  - Gciniwe Simphiwe Baloyi
  - et al.
- 2022
- EGU 2022
ML-based Probabilistic Prediction of 2m Temperature and Total Precipitation
- - Mohamed Akram Zaytar
  - Bianca Zadrozny
  - et al.
- 2022
- EGU 2022
Improving sub-seasonal to seasonal forecast using a time-series transformer
- - Daniel Salles Civitarese
  - Mohamed Akram Zaytar
  - et al.
- 2022
- AGU Fall 2022
A toolbox for weather and climate data discovery and extreme event analysis
- - Zaheed Gaffoor
  - Zubeida Patel
  - et al.
- 2022
- AGU Fall 2022
Machine learning derived sub-seasonal to seasonal extremes
- - Daniel Salles Civitarese
  - Bianca Zadrozny
- 2023
- SBBD 2023
Workflow Provenance in the Lifecycle of Scientific Machine Learning
- - Renan Francisco Santos Souza
  - Leonardo Guerreiro Azevedo
  - et al.
- 2021
- CCPE