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Transfer Learning Approach for Indoor Localization with Small Datasets
Yoon, Jeonghyeon, Oh, Jisoo, Kim, Seungku
Published in Remote sensing (Basel, Switzerland) (01.04.2023)
Published in Remote sensing (Basel, Switzerland) (01.04.2023)
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Ensemble of Deep Convolutional Neural Networks with Monte Carlo Dropout Sampling for Automated Image Segmentation Quality Control and Robust Deep Learning Using Small Datasets
Hann, Evan, Gonzales, Ricardo A., Popescu, Iulia A., Zhang, Qiang, Ferreira, Vanessa M., Piechnik, Stefan K.
Published in Medical Image Understanding and Analysis (2021)
Published in Medical Image Understanding and Analysis (2021)
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Assessing parameter uncertainty in small-n pharmacometric analyses: value of the log-likelihood profiling-based sampling importance resampling (LLP-SIR) technique
Broeker, Astrid, Wicha, Sebastian G.
Published in Journal of pharmacokinetics and pharmacodynamics (01.06.2020)
Published in Journal of pharmacokinetics and pharmacodynamics (01.06.2020)
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A Small Claims Court for the NLP: Judging Legal Text Classification Strategies With Small Datasets
Noguti, Mariana Yukari, Vellasques, Edduardo, Soares Oliveira, Luiz Eduardo
Published in arXiv.org (09.09.2024)
Published in arXiv.org (09.09.2024)
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Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals
Yildirim, Ozal, Talo, Muhammed, Ay, Betul, Baloglu, Ulas Baran, Aydin, Galip, Acharya, U. Rajendra
Published in Computers in biology and medicine (01.10.2019)
Published in Computers in biology and medicine (01.10.2019)
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Application of multi-task transfer learning: The combination of EA and optimized subband regularized CSP to classification of 8-channel EEG signals with small dataset
Long, Taixue, Wan, Min, Jian, Wenjuan, Dai, Honghui, Nie, Wenbing, Xu, Jianzhong
Published in Frontiers in human neuroscience (28.03.2023)
Published in Frontiers in human neuroscience (28.03.2023)
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Deep Learning-Based Measurement of Total Plaque Area in B-Mode Ultrasound Images
Zhou, Ran, Guo, Fumin, Azarpazhooh, M. Reza, Hashemi, Samineh, Cheng, Xinyao, Spence, J. David, Ding, Mingyue, Fenster, Aaron
Published in IEEE journal of biomedical and health informatics (01.08.2021)
Published in IEEE journal of biomedical and health informatics (01.08.2021)
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An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets
Zhang, Shu, Han, Fangfang, Liang, Zhengrong, Tan, Jiaxing, Cao, Weiguo, Gao, Yongfeng, Pomeroy, Marc, Ng, Kenneth, Hou, Wei
Published in Computerized medical imaging and graphics (01.10.2019)
Published in Computerized medical imaging and graphics (01.10.2019)
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Data leakage inflates prediction performance in connectome-based machine learning models
Rosenblatt, Matthew, Tejavibulya, Link, Jiang, Rongtao, Noble, Stephanie, Scheinost, Dustin
Published in Nature communications (28.02.2024)
Published in Nature communications (28.02.2024)
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Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation
Gómez-Ríos, Anabel, Tabik, Siham, Luengo, Julián, Shihavuddin, ASM, Krawczyk, Bartosz, Herrera, Francisco
Published in Expert systems with applications (15.03.2019)
Published in Expert systems with applications (15.03.2019)
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Broad learning for early diagnosis of Alzheimer's disease using FDG-PET of the brain
Duan, Junwei, Liu, Yang, Wu, Huanhua, Wang, Jing, Chen, Long, Chen, C. L. Philip
Published in Frontiers in neuroscience (13.03.2023)
Published in Frontiers in neuroscience (13.03.2023)
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A Parallel Multiscale Filter Bank Convolutional Neural Networks for Motor Imagery EEG Classification
Wu, Hao, Niu, Yi, Li, Fu, Li, Yuchen, Fu, Boxun, Shi, Guangming, Dong, Minghao
Published in Frontiers in neuroscience (26.11.2019)
Published in Frontiers in neuroscience (26.11.2019)
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Effect of data leakage in brain MRI classification using 2D convolutional neural networks
Yagis, Ekin, Atnafu, Selamawet Workalemahu, García Seco de Herrera, Alba, Marzi, Chiara, Scheda, Riccardo, Giannelli, Marco, Tessa, Carlo, Citi, Luca, Diciotti, Stefano
Published in Scientific reports (19.11.2021)
Published in Scientific reports (19.11.2021)
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Artificial Intelligence in Fluorescence Lifetime Imaging Ophthalmoscopy (FLIO) Data Analysis—Toward Retinal Metabolic Diagnostics
Thiemann, Natalie, Sonntag, Svenja Rebecca, Kreikenbohm, Marie, Böhmerle, Giulia, Stagge, Jessica, Grisanti, Salvatore, Martinetz, Thomas, Miura, Yoko
Published in Diagnostics (Basel) (01.02.2024)
Published in Diagnostics (Basel) (01.02.2024)
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