Cesar F. Caiafa
researcher
Facts
7 properties- Instance of
- human
- Occupation
- researcher
- Employer
- University of Buenos Aires (2010–2018), National Scientific and Technical Research Council (2010–present), University of Buenos Aires (2003–2008), RIKEN Brain Science Institute (2008–2010)[2][3][4][5]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en Cesar Caiafa
en Cesar F. Caiafa
🔖 Identifiers · 5
- ORCID iD
- 0000-0001-5437-6095
- OpenAlex ID
- A5024870237, A5136352676as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- DBLP author ID
- 97/2347
- IEEE Xplore author ID
- 37400144700
- Scopus author ID
- 8660998700
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 19
A Fast Approach to Removing Muscle Artifacts for EEG with Signal Serialization Based Ensemble Empirical Mode Decomposition,
A multimodal emotion recognition method based on facial expressions and electroencephalography,
Assessing the Potential of Data Augmentation in EEG Functional Connectivity for Early Detection of Alzheimer’s Disease,
Brain-Computer Interface with Corrupted EEG Data: a Tensor Completion Approach,
Cross Tensor Approximation Methods for Compression and Dimensionality Reduction,
Decomposition Methods for Machine Learning with Small, Incomplete or Noisy Datasets,
Early prediction of dementia using fMRI data with a graph convolutional network approach,
Ensemble Tractography
+11 more
← Authored by 19
A Fast Approach to Removing Muscle Artifacts for EEG with Signal Serialization Based Ensemble Empirical Mode Decomposition,
A multimodal emotion recognition method based on facial expressions and electroencephalography,
Assessing the Potential of Data Augmentation in EEG Functional Connectivity for Early Detection of Alzheimer’s Disease,
Brain-Computer Interface with Corrupted EEG Data: a Tensor Completion Approach,
Cross Tensor Approximation Methods for Compression and Dimensionality Reduction,
Decomposition Methods for Machine Learning with Small, Incomplete or Noisy Datasets,
Early prediction of dementia using fMRI data with a graph convolutional network approach,
Ensemble Tractography
+11 more
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Summary
Cesar F. Caiafa worked as a researcher[1].
Body
Career and Affiliations
Employers include University of Buenos Aires[2], a public university[9], in Argentina[10], founded in 1821[11]; National Scientific and Technical Research Council[3], a research council[12], in Argentina[13], founded in 1958[14]; and RIKEN Brain Science Institute[5], a research institute[15], in Japan[16].
FAQs
What did Cesar F. Caiafa do for work?
Cesar F. Caiafa worked as researcher[1].