( en | de | ru )

 

Disambiguation of "Fabietti, Marcos"

Author of the publication

copydeleteadd this publication to your clipboard
SANTIA: a Matlab-based open-source toolbox for artifact detection and removal from extracellular neuronal signals.

, , , , , , , , and . Brain Informatics, 8 (1): 14 (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Marcos Pincheira

Marcos Sáez

Marcos Pedraza

Marcos Malky

Marcos Bonasoundas

 

Other publications of authors with the same name

Artefact Detection in Chronically Recorded Local Field Potentials: An Explainable Machine Learning-based Approach., , and . IJCNN, page 1-7. IEEE, (2022)Signal Power Affects Artefact Detection Accuracy in Chronically Recorded Local Field Potentials: Preliminary Results., , , , , , and . NER, page 166-169. IEEE, (2021)Channel-independent recreation of artefactual signals in chronically recorded local field potentials using machine learning., , and . Brain Informatics, 9 (1): 1-17 (2022)ABOT: an open-source online benchmarking tool for machine learning-based artefact detection and removal methods from neuronal signals., , , and . Brain Informatics, 9 (1): 19 (2022)On-Chip Machine Learning for Portable Systems: Application to Electroencephalography-based Brain-Computer Interfaces., , and . IJCNN, page 1-8. IEEE, (2021)Machine Learning in Analysing Invasively Recorded Neuronal Signals: Available Open Access Data Sources., , and . BI, volume 12241 of Lecture Notes in Computer Science, page 151-162. Springer, (2020)SENSE: a Student Performance Quantifier using Sentiment Analysis., , and . IJCNN, page 1-6. IEEE, (2020)Effectiveness of Employing Multimodal Signals in Removing Artifacts from Neuronal Signals: An Empirical Analysis., , and . BI, volume 12241 of Lecture Notes in Computer Science, page 183-193. Springer, (2020)SANTIA: a Matlab-based open-source toolbox for artifact detection and removal from extracellular neuronal signals., , , , , , , , and . Brain Informatics, 8 (1): 14 (2021)A Matlab-Based Open-Source Toolbox for Artefact Removal from Extracellular Neuronal Signals., , and . BI, volume 12960 of Lecture Notes in Computer Science, page 351-365. Springer, (2021)