Работы, на которые ссылается эта работа

Работ: 170

Работа: Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods

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Sinno Jialin Pan, Qiang Yang
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Adversarial Discriminative Domain Adaptation
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DEAP: A Database for Emotion Analysis ;Using Physiological Signals
Sander Koelstra, Christian Mühl, Mohammad Soleymani +6
Статья2011Цитирований: 3
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The Geneva affective picture database (GAPED): a new 730-picture database focusing on valence and normative significance
Elise Dan‐Glauser, Klaus R. Scherer
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Introducing the Open Affective Standardized Image Set (OASIS)
Benedek Kurdi, Shayn Lozano, Mahzarin R. Banaji
Статья2016Цитирований: 3
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Emotions Recognition Using EEG Signals: A Survey
Soraia M. Alarcão, Manuel J. Fonseca
Статья2017Цитирований: 3
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A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update
Fabien Lotte, Laurent Bougrain, Andrzej Cichocki +4
Обзорная статья2018Цитирований: 3
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Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku +1
Препринт2018Цитирований: 3
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International affective picture system (IAPS) : affective ratings of pictures and instruction manual
Pj. Lang
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EEG-Based BCI Emotion Recognition: A Survey
Edgar P. Torres, Edgar A. Torres, Myriam Hernández-Álvarez +1
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Statistical Methods for Research Workers.
Harold Hotelling, R. A. Fisher
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Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long, Yue Cao, Jianmin Wang +1
Препринт2015Цитирований: 3
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Classification of Human Emotions from EEG Signals using Statistical Features and Neural Network
Tong-Yuen Chai, Woo San San, Tan Ching Seong +1
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Eric Tzeng, Judy Hoffman, Ning Zhang +2
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Hana Ajakan, Pascal Germain, Hugo Larochelle +2
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Dataset Shift in Machine Learning
Niall M. Adams
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Bioelectrical Signal Processing in Cardiac and Neurological Applications
Leif Sörnmo, Pablo Laguna
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Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks
Wei‐Long Zheng, Bao‐Liang Lu
Статья2015Цитирований: 2
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A new segmentation method of electroencephalograms by use of Akaike's information criterion
Tsuyoshi Inouye, Seigo Toi, Yuko Matsumoto
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Using neurophysiological signals that reflect cognitive or affective state: six recommendations to avoid common pitfalls
Anne-Marie Brouwer, Thorsten O. Zander, Jan B. F. van Erp +2
Обзорная статья2015Цитирований: 2
ABI