Items where Author is "Chiappalone, M"

FABIETTI, M.I., MAHMUD, M., LOTFI, A., AVERNA, A., GUGGENMOS, D., NUDO, R. and CHIAPPALONE, M., 2022. Interpretable model for artefact detection in local field potentials via feature extraction and decision trees. In: T. JANSEN, R. JENSEN, N.M. PARTHALÁIN and C.-M. LIN, eds., Advances in computational intelligence systems: contributions presented at the 20th UK Workshop on Computational Intelligence, September 8-10, 2021, Aberystwyth, Wales, UK. Cham: Springer, pp. 288-299. ISBN 9783030870935

FABIETTI, M., MAHMUD, M., LOTFI, A., KAISER, M.S., AVERNA, A., GUGGENMOS, D.J., NUDO, R.J., CHIAPPALONE, M. and CHEN, J., 2021. SANTIA: a Matlab-based open-source toolbox for artifact detection and removal from extracellular neuronal signals. Brain Informatics, 8: 14. ISSN 2198-4018

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., LOTFI, A., AVERNA, 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., 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