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Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects
Moradi, Elaheh, Pepe, Antonietta, Gaser, Christian, Huttunen, Heikki, Tohka, Jussi
Published in NeuroImage (Orlando, Fla.) (01.01.2015)
Published in NeuroImage (Orlando, Fla.) (01.01.2015)
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Small data machine learning in materials science
Xu, Pengcheng, Ji, Xiaobo, Li, Minjie, Lu, Wencong
Published in npj computational materials (25.03.2023)
Published in npj computational materials (25.03.2023)
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Benchmark and Survey of Automated Machine Learning Frameworks
Zöller, Marc-André, Huber, Marco F.
Published in The Journal of artificial intelligence research (01.01.2021)
Published in The Journal of artificial intelligence research (01.01.2021)
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A Machine Learning–Based Approach to Discrimination of Tauopathies Using [18F]PM‐PBB3 PET Images
Endo, Hironobu, Tagai, Kenji, Ono, Maiko, Ikoma, Yoko, Oyama, Asaka, Matsuoka, Kiwamu, Kokubo, Naomi, Hirata, Kosei, Sano, Yasunori, Oya, Masaki, Matsumoto, Hideki, Kurose, Shin, Seki, Chie, Shimizu, Hiroshi, Kakita, Akiyoshi, Takahata, Keisuke, Shinotoh, Hitoshi, Shimada, Hitoshi, Tokuda, Takahiko, Kawamura, Kazunori, Zhang, Ming‐Rong, Oishi, Kenichi, Mori, Susumu, Takado, Yuhei, Higuchi, Makoto
Published in Movement disorders (01.11.2022)
Published in Movement disorders (01.11.2022)
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Machine Learning–Driven Language Assessment
Settles, Burr, T. LaFlair, Geoffrey, Hagiwara, Masato
Published in Transactions of the Association for Computational Linguistics (01.01.2020)
Published in Transactions of the Association for Computational Linguistics (01.01.2020)
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Human-in-the-loop machine learning: a state of the art
Mosqueira-Rey, Eduardo, Hernández-Pereira, Elena, Alonso-Ríos, David, Bobes-Bascarán, José, Fernández-Leal, Ángel
Published in The Artificial intelligence review (01.04.2023)
Published in The Artificial intelligence review (01.04.2023)
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Ensemble machine learning paradigms in hydrology: A review
Zounemat-Kermani, Mohammad, Batelaan, Okke, Fadaee, Marzieh, Hinkelmann, Reinhard
Published in Journal of hydrology (Amsterdam) (01.07.2021)
Published in Journal of hydrology (Amsterdam) (01.07.2021)
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A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features
Saha, Ashirbani, Harowicz, Michael R., Grimm, Lars J., Kim, Connie E., Ghate, Sujata V., Walsh, Ruth, Mazurowski, Maciej A.
Published in British journal of cancer (14.08.2018)
Published in British journal of cancer (14.08.2018)
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Machine Learning for Precision Psychiatry: Opportunities and Challenges
Bzdok, Danilo, Meyer-Lindenberg, Andreas
Published in Biological psychiatry : cognitive neuroscience and neuroimaging (01.03.2018)
Published in Biological psychiatry : cognitive neuroscience and neuroimaging (01.03.2018)
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An open source machine learning framework for efficient and transparent systematic reviews
van de Schoot, Rens, de Bruin, Jonathan, Schram, Raoul, Zahedi, Parisa, de Boer, Jan, Weijdema, Felix, Kramer, Bianca, Huijts, Martijn, Hoogerwerf, Maarten, Ferdinands, Gerbrich, Harkema, Albert, Willemsen, Joukje, Ma, Yongchao, Fang, Qixiang, Hindriks, Sybren, Tummers, Lars, Oberski, Daniel L.
Published in Nature machine intelligence (01.02.2021)
Published in Nature machine intelligence (01.02.2021)
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Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning
Zhang, Yudong, Dong, Zhengchao, Phillips, Preetha, Wang, Shuihua, Ji, Genlin, Yang, Jiquan, Yuan, Ti-Fei
Published in Frontiers in computational neuroscience (02.06.2015)
Published in Frontiers in computational neuroscience (02.06.2015)
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Statistical machine‐learning–based predictive control of uncertain nonlinear processes
Wu, Zhe, Alnajdi, Aisha, Gu, Quanquan, Christofides, Panagiotis D.
Published in AIChE journal (01.05.2022)
Published in AIChE journal (01.05.2022)
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Machine Learning–Based Radiomics for Molecular Subtyping of Gliomas
Lu, Chia-Feng, Hsu, Fei-Ting, Hsieh, Kevin Li-Chun, Kao, Yu-Chieh Jill, Cheng, Sho-Jen, Hsu, Justin Bo-Kai, Tsai, Ping-Huei, Chen, Ray-Jade, Huang, Chao-Ching, Yen, Yun, Chen, Cheng-Yu
Published in Clinical cancer research (15.09.2018)
Published in Clinical cancer research (15.09.2018)
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