This research study aims to use machine learning methods to characterize the EEG response to music. Specifically, we investigate how resonance in the EEG response correlates with individual aesthetic enjoyment. Inspired by the notion of musical processing as resonance, we hypothesize that the intensity of an aesthetic experience is based on the degree to which a participants EEG entrains to the perceptual input. To test this and other hypotheses, we have built an EEG dataset from 20 subjects listening to 12 two minute-long songs in random order. After preprocessing and feature construction, we used this dataset to train and test multiple machine learning models.
Machine-learning competition to grade EEG background patterns in newborns with hypoxic-ischaemic encephalopathy
INFANT Research Centre, University College Cork（INFANT研究中心，科克大学学院）；Department of Pediatrics and Child Health, University College Cork（儿科与儿童健康系，科克大学学院）；The SFI Centre for Research Training in Artificial Intelligence, CRT in AI（人工智能研究培训中心，CRT in AI）；Department of Physiology, University of Helsinki（生理学系，赫尔辛基大学）；Embedded Systems, University College Cork（嵌入式系统，科克大学学院）；Department of Physiology, University College Cork（生理学系，科克大学学院）；Faculty of Technical Sciences, University of Novi Sad（技术科学学院，诺维萨德大学）；CergenX Ltd（CergenX有限公司）
Benchmarking of EEG Analysis Techniques for Parkinson's Disease Diagnosis: A Comparison between Traditional ML Methods and Foundation DL Methods
Department of Computer Science, Sapienza University of Rome（罗马大学计算机科学系）；Fondazione Ugo Bordoni（乌戈·博尔迪尼基金会）；Department of Computer Science and Mathematics, The L. H. and W. L. Collins College of Professional Studies, St. John’s University（圣约翰大学计算机科学与数学系）；University of Lorraine, CNRS, CRAN Nancy（洛林大学，CNRS，Nancy CRAN）
Understanding learning from EEG data: Combining machine learning and feature engineering based on hidden Markov models and mixed models
Hamilton Institute, Maynooth University（梅努斯大学汉密尔顿研究所）；Department of Mathematics and Statistics, Maynooth University（梅努斯大学数学与统计系）；Department of Psychology, Maynooth University（梅努斯大学心理学系）
Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies
K. N. Toosi University of Technology（K. N. 图西理工大学）；Deakin University（迪肯大学）；University of Turku（图尔库大学）；Effat University（埃法特大学）；Ngee Ann Polytechnic（义安理工学院）；SUSS University（新跃社科大学）；Asia University（亚洲大学）
Automatic detection of abnormal clinical EEG: comparison of a finetuned foundation model with two deep learning models
BioSerenity；Université de Lille（里尔大学）；CHU de Lille（里尔大学医院）；Hôpital Universitaire de Bruxelles（布鲁塞尔大学医院）；Université Libre de Bruxelles（布鲁塞尔自由大学）；Yale University School of Medicine（耶鲁大学医学院）；Université de Lorraine（洛林大学）；CHRU-Nancy（南锡大学地区医院）；CHU Grenoble Alpes（格勒诺布尔大学医院）；Université Grenoble Alpes（格勒诺布尔阿尔卑斯大学）；Jolt Capital
