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@article{bb137855,
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@article{bb137858,
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        TITLE = "Deep forest auto-Encoder for resource-Centric attributes graph
embedding",
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@article{bb137859,
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        TITLE = "Tri-objective optimization-based cascade ensemble pruning for deep
forest",
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@article{bb137860,
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        TITLE = "Random forest clustering for discrete sequences",
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@article{bb137861,
        AUTHOR = "Yuan, X.G. and Liu, S. and Feng, W. and Dauphin, G.",
        TITLE = "Feature Importance Ranking of Random Forest-Based End-to-End Learning
Algorithm",
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@article{bb137862,
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@inproceedings{bb137863,
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        TITLE = "Using Random Forest Distances for Outlier Detection",
        BOOKTITLE = CIAP22,
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@inproceedings{bb137864,
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        TITLE = "Distance-Based Random Forest Clustering with Missing Data",
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@inproceedings{bb137865,
        AUTHOR = "Bicego, M. and Escolano, F.",
        TITLE = "On learning Random Forests for Random Forest-clustering",
        BOOKTITLE = ICPR21,
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@inproceedings{bb137866,
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        TITLE = "Proximity Isolation Forests",
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        PAGES = "8021-8028",
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@inproceedings{bb137867,
        AUTHOR = "Tombe, R. and Viriri, S. and Dombeu, J.V.F.",
        TITLE = "Scene Classification of Remote Sensing Images Based on Convnet Features
and Multi-Grained Forest",
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@inproceedings{bb137868,
        AUTHOR = "Gupta, K. and Awate, S.P.",
        TITLE = "Random Forests for Simultaneous-Multislice (SMS) Undersampled HARDI
Reconstruction and Uncertainty Estimation",
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@inproceedings{bb137869,
        AUTHOR = "Mensi, A. and Bicego, M.",
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        BOOKTITLE = CIAP19,
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@inproceedings{bb137870,
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@inproceedings{bb137871,
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        TITLE = "ForestHash: Semantic Hashing with Shallow Random Forests and Tiny
Convolutional Networks",
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@inproceedings{bb137872,
        AUTHOR = "Tewari, A. and Gu, F. and Grandidier, F. and Stricker, D.",
        TITLE = "Quantitative Evaluation of Salient Deep Neural Network Features Using
Random Forests",
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@inproceedings{bb137873,
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        TITLE = "Sensing Forest for Pattern Recognition",
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@inproceedings{bb137874,
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        TITLE = "Cost-Complexity Pruning of Random Forests",
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@inproceedings{bb137875,
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@inproceedings{bb137876,
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        TITLE = "Improving Random Forests by Correlation-Enhancing Projections and
Sample-Based Sparse Discriminant Selection",
        BOOKTITLE = CRV16,
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@inproceedings{bb137877,
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        TITLE = "Tree-Based Transforms for Privileged Learning",
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@inproceedings{bb137878,
        AUTHOR = "Naji, D. and Fakir, M. and Bouikhalene, B. and Elayachi, R.",
        TITLE = "Recognition of 3D Objects Using Heat Diffusion Equations and Random
Forests",
        BOOKTITLE = CGiV16,
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@inproceedings{bb137879,
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        TITLE = "Improving Ferns Ensembles by Sparsifying and Quantising Posterior
Probabilities",
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@inproceedings{bb137880,
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        TITLE = "Context Forest for Object Class Detection",
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        YEAR = "2015",
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@inproceedings{bb137881,
        AUTHOR = "de Vleeschouwer, C. and Legrand, A. and Jacques, L. and Hebert, M.",
        TITLE = "Mitigating memory requirements for random trees/ferns",
        BOOKTITLE = ICIP15,
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@inproceedings{bb137882,
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        TITLE = "Anomaly detection by using random projection forest",
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@inproceedings{bb137883,
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@inproceedings{bb137884,
        AUTHOR = "Baumann, F. and Vogt, K. and Ehlers, A. and Rosenhahn, B.",
        TITLE = "Probabilistic nodes for modelling classification uncertainty for
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@inproceedings{bb137885,
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@inproceedings{bb137886,
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@inproceedings{bb137887,
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@inproceedings{bb137888,
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@inproceedings{bb137889,
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@inproceedings{bb137891,
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@inproceedings{bb137892,
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@inproceedings{bb137893,
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@inproceedings{bb137895,
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@inproceedings{bb137896,
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@inproceedings{bb137897,
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@inproceedings{bb137898,
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@inproceedings{bb137899,
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