Marcos Fabietti

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 13

Top Topics

Detection Accuracy

Machine Learning

Top Venues

Brain Informatics

Publications

Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi
Channel-independent recreation of artefactual signals in chronically recorded local field potentials using machine learning. Brain Informatics 9 (1) (2022)
Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi
Artefact Detection in Chronically Recorded Local Field Potentials: An Explainable Machine Learning-based Approach. IJCNN (2022)
Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi, M. Shamim Kaiser
ABOT: an open-source online benchmarking tool for machine learning-based artefact detection and removal methods from neuronal signals. Brain Informatics 9 (1) (2022)
Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi, M. Shamim Kaiser, Alberto Averna, David J. Guggenmos, Randolph J. Nudo, Michela Chiappalone, Jianhui Chen
SANTIA: a Matlab-based open-source toolbox for artifact detection and removal from extracellular neuronal signals. Brain Informatics 8 (1) (2021)
Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi
Anomaly Detection in Invasively Recorded Neuronal Signals Using Deep Neural Network: Effect of Sampling Frequency. AII (2021)
Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi
On-Chip Machine Learning for Portable Systems: Application to Electroencephalography-based Brain-Computer Interfaces. IJCNN (2021)
Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi, Alberto Averna, David J. Guggenmos, Randolph J. Nudo, Michela Chiappalone
Signal Power Affects Artefact Detection Accuracy in Chronically Recorded Local Field Potentials: Preliminary Results. NER (2021)
Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi
A Matlab-Based Open-Source Toolbox for Artefact Removal from Extracellular Neuronal Signals. BI (2021)
Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi
Machine Learning in Analysing Invasively Recorded Neuronal Signals: Available Open Access Data Sources. BI (2020)
Johanna Watkins, Marcos Fabietti, Mufti Mahmud
SENSE: a Student Performance Quantifier using Sentiment Analysis. IJCNN (2020)
Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi, Alberto Avarua, David J. Guggenmos, Randolph J. Nudo, Michela Chiappalone
Neural Network-based Artifact Detection in Local Field Potentials Recorded from Chronically Implanted Neural Probes. IJCNN (2020)
Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi, Alberto Averna, David J. Guggenmos, Randolph J. Nudo, Michela Chiappalone
Adaptation of Convolutional Neural Networks for Multi-Channel Artifact Detection in Chronically Recorded Local Field Potentials. SSCI (2020)
Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi
Effectiveness of Employing Multimodal Signals in Removing Artifacts from Neuronal Signals: An Empirical Analysis. BI (2020)