| 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 | 60 | 2020 |
| 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 | 52 | 2020 |
| 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 | 42 | 2020 |
| 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 | 28 | 2020 |
| 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 | 28 | 2020 |
| 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 | 18 | 2022 |
| 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 | 16 | 2022 |
| 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 31, 2839-2848, 2023 | 14 | 2023 |
| 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 | 13 | 2021 |
| 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 | 11 | 2022 |
| 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 | 11 | 2020 |
| 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 | 8 | 2021 |
| 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 | 4 | 2021 |
| 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 | 4 | 2021 |
| 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 | 2 | 2022 |
| 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 | 2 | 2022 |
| 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 | 2 | 2021 |
| 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 |
