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A Novel Hybrid Model Combining the Support Vector Machine (SVM) and Boosted Regression Trees (BRT) Technique in Predicting PM10 Concentration
Shaziayani, Wan Nur, Ahmat, Hasfazilah, Razak, Tajul Rosli, Zainan Abidin, Aida Wati, Warris, Saiful Nizam, Asmat, Arnis, Noor, Norazian Mohamed, Ul-Saufie, Ahmad Zia
Published in Atmosphere (01.12.2022)
Published in Atmosphere (01.12.2022)
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Diagnostic Accuracy of Parkinson Disease by Support Vector Machine (SVM) Analysis of 123I-FP-CIT Brain SPECT Data: Implications of Putaminal Findings and Age
Palumbo, Barbara, Fravolini, Mario Luca, Buresta, Tommaso, Pompili, Filippo, Forini, Nevio, Nigro, Pasquale, Calabresi, Paolo, Tambasco, Nicola
Published in Medicine (Baltimore) (01.12.2014)
Published in Medicine (Baltimore) (01.12.2014)
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Gaits Classification of Normal vs. Patients by Wireless Gait Sensor and Support Vector Machine (SVM) Classifier
Nakano, Taro, Nukala, B.T, Tsay, J, Zupancic, Steven, Rodriguez, Amanda, Lie, D.Y.C, Lopez, J, Nguyen, Tam Q
Published in International Journal of Software Innovation (01.01.2017)
Published in International Journal of Software Innovation (01.01.2017)
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Perbandingan Kinerja Support Vector Machine (SVM) Dalam Mengenali Wajah Menggunakan SURF DAN GLCM
Bahri, Syamsul, Saddami, Khairun, Arnia, Fitri, Muchtar, Kahlil
Published in Jurnal nasional teknik elektro (26.06.2019)
Published in Jurnal nasional teknik elektro (26.06.2019)
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Support vector machine-based classification of first episode drug-naïve schizophrenia patients and healthy controls using structural MRI
Xiao, Yuan, Yan, Zhihan, Zhao, Youjin, Tao, Bo, Sun, Huaiqiang, Li, Fei, Yao, Li, Zhang, Wenjing, Chandan, Shah, Liu, Jieke, Gong, Qiyong, Sweeney, John A., Lui, Su
Published in Schizophrenia research (01.12.2019)
Published in Schizophrenia research (01.12.2019)
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Hourly Solar Irradiance Prediction Based on Support Vector Machine and Its Error Analysis
Bae, Kuk Yeol, Jang, Han Seung, Sung, Dan Keun
Published in IEEE transactions on power systems (01.03.2017)
Published in IEEE transactions on power systems (01.03.2017)
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COVID-19 cough classification using machine learning and global smartphone recordings
Pahar, Madhurananda, Klopper, Marisa, Warren, Robin, Niesler, Thomas
Published in Computers in biology and medicine (01.08.2021)
Published in Computers in biology and medicine (01.08.2021)
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Selective Transfer Machine for Personalized Facial Expression Analysis
Chu, Wen-Sheng, De la Torre, Fernando, Cohn, Jeffrey F.
Published in IEEE transactions on pattern analysis and machine intelligence (01.03.2017)
Published in IEEE transactions on pattern analysis and machine intelligence (01.03.2017)
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Automated detection of abnormal EEG signals using localized wavelet filter banks
Sharma, Manish, Patel, Sohamkumar, Acharya, U. Rajendra
Published in Pattern recognition letters (01.05.2020)
Published in Pattern recognition letters (01.05.2020)
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Learning machines and sleeping brains: Automatic sleep stage classification using decision-tree multi-class support vector machines
Lajnef, Tarek, Chaibi, Sahbi, Ruby, Perrine, Aguera, Pierre-Emmanuel, Eichenlaub, Jean-Baptiste, Samet, Mounir, Kachouri, Abdennaceur, Jerbi, Karim
Published in Journal of neuroscience methods (01.07.2015)
Published in Journal of neuroscience methods (01.07.2015)
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Diagnosis and monitoring of Alzheimer's patients using classical and deep learning techniques
Raza, M., Awais, M., Ellahi, W., Aslam, N., Nguyen, H.X., Le-Minh, H.
Published in Expert systems with applications (01.12.2019)
Published in Expert systems with applications (01.12.2019)
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Early detection of Alzheimer’s disease from EEG signals using Hjorth parameters
Safi, Mehrnoosh Sadat, Safi, Seyed Mohammad Mehdi
Published in Biomedical signal processing and control (01.03.2021)
Published in Biomedical signal processing and control (01.03.2021)
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