Marcos Fabietti

13 papers B 4Journal 3Unranked 6

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