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Biomedical Imaging Modality Classification Using Bags of Visual and Textual Terms with Extremely Randomized Trees: Report of ImageCLEF 2010 Experiments.

, , and . CLEF (Notebook Papers/LABs/Workshops), volume 1176 of CEUR Workshop Proceedings, CEUR-WS.org, (2010)

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Random Subspace with Trees for Feature Selection Under Memory Constraints., , , , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 929-937. PMLR, (2018)Detecting Triangle Inequality Violations in Internet Coordinate Systems by Supervised Learning., , , , , and . Networking, volume 5550 of Lecture Notes in Computer Science, page 352-363. Springer, (2009)Automated Processing of Zebrafish Imaging Data: A Survey, , , , , , , , , and 5 other author(s). Zebrafish, 10 (3): 401-421 (2013)PMID: 23758125.Segment and Combine Approach for Non-parametric Time-Series Classification., and . PKDD, volume 3721 of Lecture Notes in Computer Science, page 478-485. Springer, (2005)Some Enhencements of Decision Tree Bagging.. PKDD, volume 1910 of Lecture Notes in Computer Science, page 136-147. Springer, (2000)L1-based compression of random forest models., , , and . ESANN, (2012)Knowledge-Guided Additive Modeling for Supervised Regression., , and . DS, volume 14276 of Lecture Notes in Computer Science, page 64-78. Springer, (2023)Biomedical Imaging Modality Classification Using Bags of Visual and Textual Terms with Extremely Randomized Trees: Report of ImageCLEF 2010 Experiments., , and . CLEF (Notebook Papers/LABs/Workshops), volume 1176 of CEUR Workshop Proceedings, CEUR-WS.org, (2010)Comparison of Deep Transfer Learning Strategies for Digital Pathology., , and . CVPR Workshops, page 2262-2271. Computer Vision Foundation / IEEE Computer Society, (2018)Biomedical Image Classification with Random Subwindows and Decision Trees., , , and . CVBIA, volume 3765 of Lecture Notes in Computer Science, page 220-229. Springer, (2005)