Machine Learning in Analysing Invasively Recorded Neuronal Signals: Available Open Access Data Sources. - Marcos Fabietti; Mufti Mahmud; Ahmad Lotfi (BI, 2020)

Effectiveness of Employing Multimodal Signals in Removing Artifacts from Neuronal Signals: An Empirical Analysis. - Marcos Fabietti; Mufti Mahmud; Ahmad Lotfi (BI, 2020)

Neural Network-based Artifact Detection in Local Field Potentials Recorded from Chronically Implanted Neural Probes. - Marcos Fabietti; Mufti Mahmud; Ahmad Lotfi; Alberto Avarua; David J. Guggenmos; Randolph J. Nudo; Michela Chiappalone (IJCNN, 2020)

SENSE: a Student Performance Quantifier using Sentiment Analysis. - Johanna Watkins; Marcos Fabietti; Mufti Mahmud (IJCNN, 2020)

Adaptation of Convolutional Neural Networks for Multi-Channel Artifact Detection in Chronically Recorded Local Field Potentials. - Marcos Fabietti; Mufti Mahmud; Ahmad Lotfi; Alberto Averna; David J. Guggenmos; Randolph J. Nudo; Michela Chiappalone (SSCI, 2020)

Anomaly Detection in Invasively Recorded Neuronal Signals Using Deep Neural Network: Effect of Sampling Frequency. - Marcos Fabietti; Mufti Mahmud; Ahmad Lotfi (AII, 2021)

A Matlab-Based Open-Source Toolbox for Artefact Removal from Extracellular Neuronal Signals. - Marcos Fabietti; Mufti Mahmud; Ahmad Lotfi (BI, 2021)

On-Chip Machine Learning for Portable Systems: Application to Electroencephalography-based Brain-Computer Interfaces. - Marcos Fabietti; Mufti Mahmud; Ahmad Lotfi (IJCNN, 2021)

Signal Power Affects Artefact Detection Accuracy in Chronically Recorded Local Field Potentials: Preliminary Results. - Marcos Fabietti; Mufti Mahmud; Ahmad Lotfi; Alberto Averna; David J. Guggenmos; Randolph J. Nudo; Michela Chiappalone (NER, 2021)

Interpretable Model for Artefact Detection in Local Field Potentials via Feature Extraction and Decision Trees. - Marcos I. Fabietti; Mufti Mahmud; Ahmad Lotfi; Alberto Averna; David J. Guggenmos; Randolph J. Nudo; Michela Chiappalone (UKCI, 2021)

SANTIA: a Matlab-based open-source toolbox for artifact detection and removal from extracellular neuronal signals. - Marcos Fabietti; Mufti Mahmud; Ahmad Lotfi; M. Shamim Kaiser; Alberto Averna; David J. Guggenmos; Randolph J. Nudo; Michela Chiappalone; Jianhui Chen (Brain Informatics, 2021)

Detection of Healthy and Unhealthy Brain States from Local Field Potentials Using Machine Learning. - Marcos I. Fabietti; Mufti Mahmud; Ahmad Lotfi; Alessandro Leparulo; Roberto Fontana; Stefano Vassanelli; Cristina Fassolato (BI, 2022)

Artefact Detection in Chronically Recorded Local Field Potentials: An Explainable Machine Learning-based Approach. - Marcos Fabietti; Mufti Mahmud; Ahmad Lotfi (IJCNN, 2022)

Channel-independent recreation of artefactual signals in chronically recorded local field potentials using machine learning. - Marcos Fabietti; Mufti Mahmud; Ahmad Lotfi (Brain Informatics, 2022)

ABOT: an open-source online benchmarking tool for machine learning-based artefact detection and removal methods from neuronal signals. - Marcos Fabietti; Mufti Mahmud; Ahmad Lotfi; M. Shamim Kaiser (Brain Informatics, 2022)