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A Novel Approach for Detecting Deepfake Face Using Machine Learning Algorithms
Kumar, Manoj, Rai, Praveen Kumar, Kumar, Pankaj
Published in 2024 2nd International Conference on Disruptive Technologies (ICDT) (15.03.2024)
Published in 2024 2nd International Conference on Disruptive Technologies (ICDT) (15.03.2024)
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IIoT Network Intrusion Detection Using Machine Learning
Eid, Abdulrahman Mahmoud, Nassif, Ali Bou, Soudan, Bassel, Injadat, Mohammad Noor
Published in International Conference on Intelligent Robotic and Control Engineering (Online) (04.08.2023)
Published in International Conference on Intelligent Robotic and Control Engineering (Online) (04.08.2023)
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Classification of EEG Motor Imagery Using Support Vector Machine and Convolutional Neural Network
Wu, Yu-Te, Huang, Tzu Hsuan, Yi Lin, Chun, Tsai, Sheng Jia, Wang, Po-Shan
Published in 2018 International Automatic Control Conference (CACS) (01.11.2018)
Published in 2018 International Automatic Control Conference (CACS) (01.11.2018)
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A Novel Stock Price Prediction Scheme from Twitter Data by using Weighted Sentiment Analysis
Korivi, Nikhila, Naveen, Katla Sai, Keerthi, Godavarthi Chandra, Manikandan, V. M.
Published in 2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (27.01.2022)
Published in 2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (27.01.2022)
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Interpretable Machine Learning-Based Triage For Decision Support in Emergency Care
Mutegeki, Henry, Nahabwe, Alvin, Nakatumba-Nabende, Joyce, Marvin, Ggaliwango
Published in 2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) (11.04.2023)
Published in 2023 7th International Conference on Trends in Electronics and Informatics (ICOEI) (11.04.2023)
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Systematic Literature Review: Recognition of Human Gait Cycle Using Machine Learning Approach
Kamaruzaman, F.F.A, Izhar, Che Ani Adi, Fauzilan, A.S., Setumin, Samsul, Hussain, Z., Abdullah, M.F.
Published in 2021 6th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE) (01.12.2021)
Published in 2021 6th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE) (01.12.2021)
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Novel Photoplethysmographic and Electrocardiographic Features for Enhanced Detection of Hypertensive Individuals
Cano, Jesus, Quesada, Aurelio, Ravelli, Flavia, Zangroniz, Roberto, Alcaraz, Raul, Rieta, Jose J.
Published in E-Health and Bioengineering Conference (Online) (18.11.2021)
Published in E-Health and Bioengineering Conference (Online) (18.11.2021)
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Machine Learning Approach to Study the Impact of Obesity on Autonomic Nervous System using Heart Rate Variability Features
Rathod, SR, Chaskar, UM, Patil, CY
Published in 2021 Seventh International conference on Bio Signals, Images, and Instrumentation (ICBSII) (25.03.2021)
Published in 2021 Seventh International conference on Bio Signals, Images, and Instrumentation (ICBSII) (25.03.2021)
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Preparing Software Quality Assurance Professionals: Metamorphic Exploration for Machine Learning
Yang, Sen, Towey, Dave, Zhou, Zhi Quan, Chen, T.Y.
Published in Proceedings of IEEE International Conference on Teaching, Assessment, and Learning for Engineering (Online) (01.12.2019)
Published in Proceedings of IEEE International Conference on Teaching, Assessment, and Learning for Engineering (Online) (01.12.2019)
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Diabetes mellitus forecast using different data mining techniques
Motka, Rakesh, Parmarl, Viral, Kumar, Balbindra, Verma, A. R.
Published in 2013 4th International Conference on Computer and Communication Technology (ICCCT) (01.09.2013)
Published in 2013 4th International Conference on Computer and Communication Technology (ICCCT) (01.09.2013)
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AI for social good: unlocking the opportunity for positive impact
Tomašev, Nenad, Cornebise, Julien, Hutter, Frank, Mohamed, Shakir, Picciariello, Angela, Connelly, Bec, Belgrave, Danielle C. M., Ezer, Daphne, Haert, Fanny Cachat van der, Mugisha, Frank, Abila, Gerald, Arai, Hiromi, Almiraat, Hisham, Proskurnia, Julia, Snyder, Kyle, Otake-Matsuura, Mihoko, Othman, Mustafa, Glasmachers, Tobias, Wever, Wilfried de, Teh, Yee Whye, Khan, Mohammad Emtiyaz, Winne, Ruben De, Schaul, Tom, Clopath, Claudia
Published in Nature communications (18.05.2020)
Published in Nature communications (18.05.2020)
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Computer Vision and Machine Learning-Based Gait Pattern Recognition for Flat Fall Prediction
Chen, Biao, Chen, Chaoyang, Hu, Jie, Sayeed, Zain, Qi, Jin, Darwiche, Hussein F., Little, Bryan E., Lou, Shenna, Darwish, Muhammad, Foote, Christopher, Palacio-Lascano, Carlos
Published in Sensors (Basel, Switzerland) (19.10.2022)
Published in Sensors (Basel, Switzerland) (19.10.2022)
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Testing a machine-learning algorithm to predict the persistence and severity of major depressive disorder from baseline self-reports
Kessler, R C, van Loo, H M, Wardenaar, K J, Bossarte, R M, Brenner, L A, Cai, T, Ebert, D D, Hwang, I, Li, J, de Jonge, P, Nierenberg, A A, Petukhova, M V, Rosellini, A J, Sampson, N A, Schoevers, R A, Wilcox, M A, Zaslavsky, A M
Published in Molecular psychiatry (01.10.2016)
Published in Molecular psychiatry (01.10.2016)
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Early response to SPN-812 (viloxazine extended-release) can predict efficacy outcome in pediatric subjects with ADHD: a machine learning post-hoc analysis of four randomized clinical trials
Faraone, Stephen V., Gomeni, Roberto, Hull, Joseph T., Busse, Gregory D., Melyan, Zare, O'Neal, Welton, Rubin, Jonathan, Nasser, Azmi
Published in Psychiatry research (01.02.2021)
Published in Psychiatry research (01.02.2021)
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