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ORCIDMarcos Fabietti
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- affiliation: Nottingham Trent University, UK
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2020 – today
- 2022
[j3]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): 1-17 (2022)- [j2]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): 19 (2022) - [c12]Marcos I. Fabietti, Mufti Mahmud, Ahmad Lotfi, Alessandro Leparulo, Roberto Fontana, Stefano Vassanelli, Cristina Fassolato:
Detection of Healthy and Unhealthy Brain States from Local Field Potentials Using Machine Learning. BI 2022: 27-39 - [c11]Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi:
Artefact Detection in Chronically Recorded Local Field Potentials: An Explainable Machine Learning-based Approach. IJCNN 2022: 1-7 - 2021
- [j1]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): 14 (2021) - [c10]Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi:
Anomaly Detection in Invasively Recorded Neuronal Signals Using Deep Neural Network: Effect of Sampling Frequency. AII 2021: 79-91 - [c9]Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi:
A Matlab-Based Open-Source Toolbox for Artefact Removal from Extracellular Neuronal Signals. BI 2021: 351-365 - [c8]Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi:
On-Chip Machine Learning for Portable Systems: Application to Electroencephalography-based Brain-Computer Interfaces. IJCNN 2021: 1-8 - [c7]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: 166-169 - [c6]Marcos I. Fabietti, Mufti Mahmud, Ahmad Lotfi, Alberto Averna, David J. Guggenmos, Randolph J. Nudo, Michela Chiappalone:
Interpretable Model for Artefact Detection in Local Field Potentials via Feature Extraction and Decision Trees. UKCI 2021: 288-299 - 2020
- [c5]Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi:
Machine Learning in Analysing Invasively Recorded Neuronal Signals: Available Open Access Data Sources. BI 2020: 151-162 - [c4]Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi:
Effectiveness of Employing Multimodal Signals in Removing Artifacts from Neuronal Signals: An Empirical Analysis. BI 2020: 183-193 - [c3]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: 1-8 - [c2]Johanna Watkins, Marcos Fabietti, Mufti Mahmud:
SENSE: a Student Performance Quantifier using Sentiment Analysis. IJCNN 2020: 1-6 - [c1]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: 1607-1613
Coauthor Index
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