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Marcos Ignacio Fabietti
Marcos Ignacio Fabietti
Verified email at my.ntu.ac.uk - Homepage
Title
Cited by
Cited by
Year
Sense: a student performance quantifier using sentiment analysis
J Watkins, M Fabietti, M Mahmud
2020 International Joint Conference on Neural Networks (IJCNN), 1-6, 2020
532020
Neural network-based artifact detection in local field potentials recorded from chronically implanted neural probes
M Fabietti, M Mahmud, A Lotfi, A Averna, D Gugganmos, R Nudo, ...
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
362020
Artifact detection in chronically recorded local field potentials using long-short term memory neural network
M Fabietti, M Mahmud, A Lotfi, A Averna, D Guggenmos, R Nudo, ...
2020 IEEE 14th International Conference on Application of Information and …, 2020
272020
Adaptation of convolutional neural networks for multi-channel artifact detection in chronically recorded local field potentials
M Fabietti, M Mahmud, A Lotfi, A Averna, D Guggenmos, R Nudo, ...
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1607-1613, 2020
142020
Machine learning in analysing invasively recorded neuronal signals: available open access data sources
M Fabietti, M Mahmud, A Lotfi
International Conference on Brain Informatics, 151-162, 2020
142020
SANTIA: a Matlab-based open-source toolbox for artifact detection and removal from extracellular neuronal signals
M Fabietti, M Mahmud, A Lotfi, MS Kaiser, A Averna, DJ Guggenmos, ...
Brain Informatics 8, 1-19, 2021
122021
Channel-independent recreation of artefactual signals in chronically recorded local field potentials using machine learning
M Fabietti, M Mahmud, A Lotfi
Brain Informatics 9 (1), 1, 2022
112022
Effectiveness of employing multimodal signals in removing artifacts from neuronal signals: an empirical analysis
M Fabietti, M Mahmud, A Lotfi
International Conference on Brain Informatics, 183-193, 2020
112020
Anomaly detection in invasively recorded neuronal signals using deep neural network: effect of sampling frequency
M Fabietti, M Mahmud, A Lotfi
International Conference on Applied Intelligence and Informatics, 79-91, 2021
82021
Early detection of Alzheimer’s disease from cortical and hippocampal local field potentials using an ensembled machine learning model
M Fabietti, M Mahmud, A Lotfi, A Leparulo, R Fontana, S Vassanelli, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
52023
A matlab-based open-source toolbox for artefact removal from extracellular neuronal signals
M Fabietti, M Mahmud, A Lotfi
International conference on brain informatics, 351-365, 2021
32021
On-chip machine learning for portable systems: Application to electroencephalography-based brain-computer interfaces
M Fabietti, M Mahmud, A Lotfi
2021 International joint conference on neural networks (IJCNN), 1-8, 2021
32021
ABOT: an open-source online benchmarking tool for machine learning-based artefact detection and removal methods from neuronal signals
M Fabietti, M Mahmud, A Lotfi, MS Kaiser
Brain Informatics 9 (1), 19, 2022
22022
Artefact Detection in Chronically Recorded Local Field Potentials: An Explainable Machine Learning-based Approach
M Fabietti, M Mahmud, A Lotfi
2022 International Joint Conference on Neural Networks (IJCNN), 1-7, 2022
22022
Detection of Healthy and Unhealthy Brain States from Local Field Potentials Using Machine Learning
MI Fabietti, M Mahmud, A Lotfi, A Leparulo, R Fontana, S Vassanelli, ...
International Conference on Brain Informatics, 27-39, 2022
22022
Interpretable model for artefact detection in local field potentials via feature extraction and decision trees
MI Fabietti, M Mahmud, A Lotfi, A Averna, D Guggenmos, R Nudo, ...
Advances in Computational Intelligence Systems: Contributions Presented at …, 2022
22022
Signal power affects artefact detection accuracy in chronically recorded local field potentials: preliminary results
M Fabietti, M Mahmud, A Lotfi, A Averna, D Guggenmos, R Nudo, ...
2021 10th International IEEE/EMBS Conference on Neural Engineering (NER …, 2021
22021
Development of machine learning-based open-source tools for processing and analysis of extracellular neuronal signals to facilitate disease monitoring
MI Fabietti
Nottingham Trent University, 2022
2022
PROPIEDADES MAGNÉTICAS Y ESTRUCTURALES DE ALEACIONES DE Mn-Bi-X (X= Fe, Co)
MI Fabietti, R Mutal, GP López
Congreso Internacional de Metalurgia y Materiales, 2016
2016
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Articles 1–19