[ { "Accuracy": 74.35, "code_links": [], "date": "2019-05-11", "date2": 20190511, "model": "BiHDM", "paper": { "title": "A Novel Bi-hemispheric Discrepancy Model for EEG Emotion Recognition", "url": "https://cknow.io/lib/ee01059ae2415d84" }, "paper_data_uoa": "ee01059ae2415d84" }, { "Accuracy": 69.88, "code_links": [], "date": "2018-03-21", "date2": 20180321, "model": "DGCNN", "paper": { "title": "EEG emotion recognition using dynamical graph convolutional neural networks", "url": "https://cknow.io/lib/74c8eb30eb6c8b13" }, "paper_data_uoa": "74c8eb30eb6c8b13" }, { "Accuracy": 66.77, "code_links": [], "date": "2015-05-08", "date2": 20150508, "model": "DBN", "paper": { "title": "Investigating critical frequency bands and channels for EEG-based emotion recognition with deep neural networks", "url": "https://cknow.io/lib/f64509ba97c64cee" }, "paper_data_uoa": "f64509ba97c64cee" }, { "Accuracy": 56.61, "code_links": [], "date": "2019-07-18", "date2": 20190718, "model": "SVM", "paper": { "title": "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks", "url": "https://cknow.io/lib/2406884812ac45ab" }, "paper_data_uoa": "2406884812ac45ab" } ]