Items where Author is "Fabietti, M"

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FABIETTI, M., MAHMUD, M., LOTFI, A., AVERNA, A., GUGGENMOS, D., NUDO, R. and CHIAPPALONE, M., 2021. Signal power affects artefact detection accuracy in chronically recorded local field potentials: preliminary results. In: 10th International IEEE/EMBS Conference on Neural Engineering (NER), 2021. IEEE, pp. 166-169. ISBN 9781728143378

FABIETTI, M., MAHMUD, M., AVERNA, A., LOTFI, A., GUGGENMOS, D., NUDO, R. and CHIAPPALONE, M., 2020. Adaptation of convolutional neural networks for multi-channel artifact detection in chronically recorded local field potentials. In: 2020 IEEE Symposium Series on Computational Intelligence (SSCI) proceedings. Institute of Electrical and Electronics Engineers (IEEE), pp. 1607-1613. ISBN 9781728125473

FABIETTI, M., MAHMUD, M. and LOTFI, A., 2020. Effectiveness of employing multimodal signals in removing artifacts from neuronal signals: an empirical analysis. In: M. MAHMUD, S. VASSANELLI, M.S. KAISER and N. ZHONG, eds., Brain Informatics: 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings. Lecture Notes in Computer Science (12241). Springer International Publishing, pp. 183-193. ISBN 9783030592769

FABIETTI, M., MAHMUD, M. and LOTFI, A., 2020. Machine learning in analysing invasively recorded neuronal signals: available open access data sources. In: M. MAHMUD, S. VASSANELLI, M.S. KAISER and N. ZHONG, eds., Brain Informatics: 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings. Lecture Notes in Computer Science (12241). Springer International Publishing, pp. 151-162. ISBN 9783030592769

FABIETTI, M., MAHMUD, M., LOTFI, A., AVARUA, A., GUGGANMOS, D., XUDO, R. and CHIAPPALONE, M., 2020. Neural network-based artifact detection in local field potentials recorded from chronically implanted neural probes. In: 2020 International Joint Conference on Neural Networks (IJCNN). 2020 conference proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). ISBN 9781728169262

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