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Transmodal Learning of Functional Networks for Alzheimer's Disease Prediction.

, , , and . J. Sel. Topics Signal Processing, 10 (7): 1204-1213 (2016)

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Similarity encoding for learning with dirty categorical variables., , and . Mach. Learn., 107 (8-10): 1477-1494 (2018)Encoding High-Cardinality String Categorical Variables., and . IEEE Trans. Knowl. Data Eng., 34 (3): 1164-1176 (2022)How I failed machine learning in medical imaging -- shortcomings and recommendations, and . (2021)cite arxiv:2103.10292.GLADIS: A General and Large Acronym Disambiguation Benchmark., , and . EACL, page 2065-2080. Association for Computational Linguistics, (2023)A Lightweight Neural Model for Biomedical Entity Linking., , and . AAAI, page 12657-12665. AAAI Press, (2021)Why do tree-based models still outperform deep learning on typical tabular data?, , and . NeurIPS, (2022)Accounting for Variance in Machine Learning Benchmarks., , , , , , , , , and 6 other author(s). MLSys, mlsys.org, (2021)BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods., , , , , , , , , and 19 other author(s). PLoS Comput. Biol., (2017)Understanding metric-related pitfalls in image analysis validation., , , , , , , , , and 68 other author(s). CoRR, (2023)nipy/nipype: Nipype - v1.0.0., , , , , , , , , and 132 other author(s). (January 2018)