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Javier Marin, David Vazquez, Antonio Lopez, Jaume Amores and Ludmila I. Kuncheva. 2014. Occlusion handling via random subspace classifiers for human detection. TSMCB, 44(3), 342–354.
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Jaume Amores. 2015. MILDE: multiple instance learning by discriminative embedding. KAIS, 42(2), 381–407.
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Jaume Amores. 2013. Multiple Instance Classification: review, taxonomy and comparative study. AI, 201, 81–105.
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Cesar de Souza, Adrien Gaidon, Yohann Cabon, Naila Murray and Antonio Lopez. 2019. Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models. IJCV, 128, 1505–1536.
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Akhil Gurram, Onay Urfalioglu, Ibrahim Halfaoui, Fahd Bouzaraa and Antonio Lopez. 2020. Semantic Monocular Depth Estimation Based on Artificial Intelligence. ITSM.
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Daniel Hernandez and 8 others. 2019. Slanted Stixels: A way to represent steep streets. IJCV, 127, 1643–1658.
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Katerine Diaz, Jesus Martinez del Rincon and Aura Hernandez-Sabate. 2017. Decremental generalized discriminative common vectors applied to images classification. KBS, 131, 46–57.
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Antonio Lopez and 7 others. 2017. Training my car to see using virtual worlds. IMAVIS, 38, 102–118.
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Katerine Diaz, Konstantia Georgouli, Anastasios Koidis and Jesus Martinez del Rincon. 2017. Incremental model learning for spectroscopy-based food analysis. CILS, 167, 123–131.
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Katerine Diaz, Francesc J. Ferri and Aura Hernandez-Sabate. 2018. An overview of incremental feature extraction methods based on linear subspaces. KBS, 145, 219–235.
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