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International Journal of Neuroscience Volume 129, 2019 - Issue 11
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Original Articles

Learning-based classification of valence emotion from electroencephalography

Munaza RamzanDepartment of Computer Science & Engineering, Jaypee Institute of Information Technology, Noida, IndiaCorrespondence[email protected]
&
Suma DawnDepartment of Computer Science & Engineering, Jaypee Institute of Information Technology, Noida, India
Pages 1085-1093 | Received 01 Dec 2018, Accepted 11 Jun 2019, Published online: 03 Jul 2019

Citations (7)

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Munaza Ramzan & Suma Dawn. (2023) Fused CNN-LSTM deep learning emotion recognition model using electroencephalography signals. International Journal of Neuroscience 133:6, pages 587-597.
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Articles from other publishers (6)

Ivonne Angelica Castiblanco Jimenez, Francesca Nonis, Elena Carlotta Olivetti, Luca Ulrich, Sandro Moos, Maria Grazia Monaci, Federica Marcolin & Enrico Vezzetti. (2023) Exploring User Engagement in Museum Scenario with EEG—A Case Study in MAV Craftsmanship Museum in Valle d’Aosta Region, Italy. Electronics 12:18, pages 3810.
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S. Babeetha & S. S. Sridhar. 2023. Fourth International Conference on Image Processing and Capsule Networks. Fourth International Conference on Image Processing and Capsule Networks 435 448 .
Bhuvaneshwari Chakravarthi, Sin-Chun Ng, M. R. Ezilarasan & Man-Fai Leung. (2022) EEG-based emotion recognition using hybrid CNN and LSTM classification. Frontiers in Computational Neuroscience 16.
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Harley Glassman, Daniel Dwyer, Nicia John, Denis Laesker & Matthew So. (2022) Affective Brain-Computer Music Interface in Emotion Regulation and Neurofeedback: A Research Protocol. Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal 6:5, pages 1-9.
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Maham Saeidi, Waldemar Karwowski, Farzad V. Farahani, Krzysztof Fiok, Redha Taiar, P. A. Hancock & Awad Al-Juaid. (2021) Neural Decoding of EEG Signals with Machine Learning: A Systematic Review. Brain Sciences 11:11, pages 1525.
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M. Murugappan, Bong Siao Zheng & Wan Khairunizam. (2021) Recurrent Quantification Analysis-Based Emotion Classification in Stroke Using Electroencephalogram Signals. Arabian Journal for Science and Engineering 46:10, pages 9573-9588.
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