Random ensemble learning for EEG classification

Mohammad-Parsa Hosseini, Dario Pompili, Kost V. Elisevich, Hamid Soltanian-Zadeh

Abstract: Highlights•Developing a multi-tier distributed computing seizure detection implemented in the cloud.•Developing a feature-selection technique using I-ICA to elect independent features and to infer the number of features automatically from the input data.•Proposing a random subspace ensemble method with SVMs as the base classifiers which fits big data problems by parallel processing.•Proposing a random subspace ensemble method using a combination of different methods as the base classifiers.

External IDs:dblp:journals/artmed/HosseiniPES18