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Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models.

A. Shoeibi, D. Sadeghi, P. Moridian, N. Ghassemi, J. Heras, R. Alizadehsani, A. Khadem, Y. Kong, S. Nahavandi, Y. Zhang, and J. Górriz. Frontiers Neuroinformatics, (2021)

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Using Data Mining Techniques to Analyze Facial Expression Motion Vectors.M. Roshanzamir, R. Alizadehsani, M. Roshanzamir, A. Shoeibi, J. Górriz, A. Khosravi, S. Nahavandi, and U. Acharya. DIS, volume 14321 of Lecture Notes in Computer Science, page 1-19. Springer, (2023)Diagnosis of Coronary Artery Disease Using Cost-Sensitive Algorithms.R. Alizadehsani, M. Hosseini, Z. Sani, A. Ghandeharioun, and R. Boghrati. ICDM Workshops, page 9-16. IEEE Computer Society, (2012)Improving Prediction of Mortality in ICU via Fusion of SelectKBest with SMOTE Method and Extra Tree Classifier.M. Maftoun, J. Joloudari, O. Zare, M. Khademi, A. Atashi, M. Nematollahi, R. Alizadehsani, and J. Górriz. IWINAC, volume 14674 of Lecture Notes in Computer Science, page 68-77. Springer, (2024)Improving PPG Signal Classification with Machine Learning: The Power of a Second Opinion.H. Asgharnezhad, A. Jokandan, I. Bakhshayeshi, R. Alizadehsani, S. Chamaani, and H. Alinejad-Rokny. DSP, page 1-5. IEEE, (2023)Machine learning meets advanced robotic manipulation.S. Nahavandi, R. Alizadehsani, D. Nahavandi, C. Lim, K. Kelly, and F. Bello. Inf. Fusion, (May 2024)Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data.R. Alizadehsani, D. Sharifrazi, N. Izadi, J. Joloudari, A. Shoeibi, J. Górriz, S. Hussain, J. Arco, Z. Sani, F. Khozeimeh and 4 other author(s). ACM Trans. Multim. Comput. Commun. Appl., 17 (3s): 104:1-104:24 (2021)Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works.A. Shoeibi, N. Ghassemi, M. Khodatars, M. Jafari, P. Moridian, R. Alizadehsani, A. Khadem, Y. Kong, A. Zare, J. Górriz and 4 other author(s). CoRR, (2021)Specific Heat Capacity Extraction of Soybean Oil/MXene Nanofluids Using Optimized Long Short-Term Memory.M. Qazani, N. Aslfattahi, V. Kulish, H. Asadi, M. Schmirler, M. Zakarya, R. Alizadehsani, M. Haleem, and K. Kadirgama. IEEE Access, (2024)Automatic Diagnosis of Schizophrenia using EEG Signals and CNN-LSTM Models.A. Shoeibi, D. Sadeghi, P. Moridian, N. Ghassemi, J. Heras, R. Alizadehsani, A. Khadem, Y. Kong, S. Nahavandi, and J. Górriz. CoRR, (2021)A data mining approach for diagnosis of coronary artery disease.R. Alizadehsani, J. Habibi, M. Hosseini, H. Mashayekhi, R. Boghrati, A. Ghandeharioun, B. Bahadorian, and Z. Sani. Comput. Methods Programs Biomed., 111 (1): 52-61 (2013)

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Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models.

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Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models.