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Interpretable Model for Artefact Detection in Local Field Potentials via Feature Extraction and Decision Trees.

, , , , , , and . UKCI, volume 1409 of Advances in Intelligent Systems and Computing, page 288-299. Springer, (2021)

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Neural tissue and brain interfacing CMOS devices - An introduction to state-of-the-art, current and future challenges., , , , , , , , and . ISCAS, page 1826-1829. IEEE, (2016)Effectiveness of Employing Multimodal Signals in Removing Artifacts from Neuronal Signals: An Empirical Analysis., , and . BI, volume 12241 of Lecture Notes in Computer Science, page 183-193. Springer, (2020)iWorksafe: Towards Healthy Workplaces During COVID-19 With an Intelligent Phealth App for Industrial Settings., , , , , , , , , and 5 other author(s). IEEE Access, (2021)Towards a data-driven adaptive anomaly detection system for human activity., , and . Pattern Recognit. Lett., (2021)Enhancing biofeedback-driven self-guided virtual reality exposure therapy through arousal detection from multimodal data using machine learning., , , , , , , , , and 7 other author(s). Brain Informatics, 10 (1): 14 (December 2023)Deep Learning in Mining Biological Data., , and . CoRR, (2020)Neural Network-based Artifact Detection in Local Field Potentials Recorded from Chronically Implanted Neural Probes., , , , , , and . IJCNN, page 1-8. IEEE, (2020)3D DenseNet Ensemble in 4-Way Classification of Alzheimer's Disease., , , and . BI, volume 12241 of Lecture Notes in Computer Science, page 85-96. Springer, (2020)ADEPTNESS: Alzheimer's Disease Patient Management System Using Pervasive Sensors - Early Prototype and Preliminary Results., , , , and . BI, volume 11309 of Lecture Notes in Computer Science, page 413-422. Springer, (2018)Sluggish State-Based Neural Networks Provide State-of-the-art Forecasts of Covid-19 Cases., , , and . AII, page 384-400. (2021)