Libros sobre el tema "Adaptation de domaines"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte los 50 mejores mejores libros para su investigación sobre el tema "Adaptation de domaines".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Explore libros sobre una amplia variedad de disciplinas y organice su bibliografía correctamente.
Li, Jingjing, Lei Zhu y Zhekai Du. Unsupervised Domain Adaptation. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1025-6.
Texto completoKamnitsas, Konstantinos, Lisa Koch, Mobarakol Islam, Ziyue Xu, Jorge Cardoso, Qi Dou, Nicola Rieke y Sotirios Tsaftaris, eds. Domain Adaptation and Representation Transfer. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-16852-9.
Texto completoSingh, Richa, Mayank Vatsa, Vishal M. Patel y Nalini Ratha, eds. Domain Adaptation for Visual Understanding. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30671-7.
Texto completoKoch, Lisa, M. Jorge Cardoso, Enzo Ferrante, Konstantinos Kamnitsas, Mobarakol Islam, Meirui Jiang, Nicola Rieke, Sotirios A. Tsaftaris y Dong Yang, eds. Domain Adaptation and Representation Transfer. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-45857-6.
Texto completoCsurka, Gabriela, ed. Domain Adaptation in Computer Vision Applications. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58347-1.
Texto completoCsurka, Gabriela, Timothy M. Hospedales, Mathieu Salzmann y Tatiana Tommasi. Visual Domain Adaptation in the Deep Learning Era. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-79175-8.
Texto completoVenkateswara, Hemanth y Sethuraman Panchanathan, eds. Domain Adaptation in Computer Vision with Deep Learning. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45529-3.
Texto completoSøgaard, Anders. Semi-Supervised Learning and Domain Adaptation in Natural Language Processing. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-031-02149-7.
Texto completoAlbarqouni, Shadi, Spyridon Bakas, Konstantinos Kamnitsas, M. Jorge Cardoso, Bennett Landman, Wenqi Li, Fausto Milletari et al., eds. Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60548-3.
Texto completoBunt, Harry C. Trends in Parsing Technology: Dependency Parsing, Domain Adaptation, and Deep Parsing. Dordrecht: Springer Science+Business Media B.V., 2011.
Buscar texto completoAlbarqouni, Shadi, M. Jorge Cardoso, Qi Dou, Konstantinos Kamnitsas, Bishesh Khanal, Islem Rekik, Nicola Rieke et al., eds. Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87722-4.
Texto completoWang, Qian, Fausto Milletari, Hien V. Nguyen, Shadi Albarqouni, M. Jorge Cardoso, Nicola Rieke, Ziyue Xu et al., eds. Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33391-1.
Texto completoFenwick, John. The public domain in an English region: Aspects of adaptation and change in public authorities. Glasgow, Scotland: Centre for the Study of Public Policy, University of Strathclyde, 1989.
Buscar texto completoCanada, Canada Environment. A decade of achievement : environment and energy research & development =: Dix années de succès : recherche et développement dans le domaine de l'environnement et de l'énergie. Hull, Qué: Environment Canada = Environnement Canada, 1989.
Buscar texto completoWallberg, Günther. Die Schutzfähigkeit von Bearbeitungen gemeinfreier Werke der Ernsten Musik im europäischen Vergleich. Frankfurt am Main: P. Lang, 2002.
Buscar texto completoRedko, Ievgen, Amaury Habrard, Marc Sebban, Emilie Morvant y Younès Bennani. Advances in Domain Adaptation Theory. Elsevier, 2019.
Buscar texto completoRatha, Nalini, Vishal M. Patel, Richa Singh y Mayank Vatsa. Domain Adaptation for Visual Understanding. Springer, 2020.
Buscar texto completoGopalan, Raghuraman, Ruonan Li, Rama Chellappa y Vishal M. Patel. Domain Adaptation for Visual Recognition. Now Publishers, 2015.
Buscar texto completoRatha, Nalini, Vishal M. Patel, Richa Singh y Mayank Vatsa. Domain Adaptation for Visual Understanding. Springer International Publishing AG, 2021.
Buscar texto completoCsurka, Gabriela. Domain Adaptation in Computer Vision Applications. Springer, 2017.
Buscar texto completoRedko, Ievgen, Amaury Habrard, Emile Morvant, Marc Sebban y Younes Bennani. Domain Adaptation Theory: Available Theoretical Results. Elsevier, 2019.
Buscar texto completoCsurka, Gabriela. Domain Adaptation in Computer Vision Applications. Springer, 2018.
Buscar texto completoSimonson, Tatum S. y Francisco C. Villafuerte, eds. Time Domains of Hypoxia Adaptation: Evolutionary Insights and Applications. Frontiers Media SA, 2021. http://dx.doi.org/10.3389/978-2-88971-846-7.
Texto completoHospedales, Timothy M., Tatiana Tommasi, Gabriela Csurka y Mathieu Salzmann. Visual Domain Adaptation in the Deep Learning Era. Morgan & Claypool Publishers, 2022.
Buscar texto completoHospedales, Timothy M., Tatiana Tommasi, Gabriela Csurka y Mathieu Salzmann. Visual Domain Adaptation in the Deep Learning Era. Springer International Publishing AG, 2022.
Buscar texto completoHospedales, Timothy M., Tatiana Tommasi, Gabriela Csurka y Mathieu Salzmann. Visual Domain Adaptation in the Deep Learning ERA. Morgan & Claypool Publishers, 2022.
Buscar texto completoHospedales, Timothy M., Tatiana Tommasi, Gabriela Csurka y Mathieu Salzmann. Visual Domain Adaptation in the Deep Learning ERA. Morgan & Claypool Publishers, 2022.
Buscar texto completoVenkateswara, Hemanth y Sethuraman Panchanathan. Domain Adaptation in Computer Vision with Deep Learning. Springer, 2020.
Buscar texto completoVenkateswara, Hemanth y Sethuraman Panchanathan. Domain Adaptation in Computer Vision with Deep Learning. Springer International Publishing AG, 2021.
Buscar texto completoHospedales, Timothy M., Tatiana Tommasi, Gabriela Csurka y Mathieu Salzmann. Visual Domain Adaptation in the Deep Learning Era. Springer International Publishing AG, 2022.
Buscar texto completoDu, Zhekai. Unsupervised Domain Adaptation: Recent Advances and Future Perspectives. Springer, 2024.
Buscar texto completoJackson, Scott. Systems Engineering for Commercial Aircraft: A Domain-Specific Adaptation. CRC Press LLC, 2016.
Buscar texto completoJackson, Scott. Systems Engineering for Commercial Aircraft: A Domain-Specific Adaptation. CRC Press LLC, 2016.
Buscar texto completoJackson, Scott. Systems Engineering for Commercial Aircraft: A Domain-Specific Adaptation. CRC Press LLC, 2020.
Buscar texto completoJackson, Scott. Systems engineering for commercial aircraft: A domain-specific adaptation. 2017.
Buscar texto completoJackson, Scott. Systems Engineering for Commercial Aircraft: A Domain-Specific Adaptation. CRC Press LLC, 2020.
Buscar texto completoJackson, Scott. Systems Engineering for Commercial Aircraft: A Domain-Specific Adaptation. CRC Press LLC, 2020.
Buscar texto completoJackson, Scott. Systems Engineering for Commercial Aircraft: A Domain-Specific Adaptation. CRC Press LLC, 2020.
Buscar texto completoJackson, Scott. Systems Engineering for Commercial Aircraft: A Domain-Specific Adaptation. CRC Press LLC, 2016.
Buscar texto completoJackson, Scott. Systems Engineering for Commercial Aircraft: A Domain-Specific Adaptation. CRC Press LLC, 2016.
Buscar texto completoSøgaard, Anders. Semi-Supervised Learning and Domain Adaptation in Natural Language Processing. Morgan & Claypool Publishers, 2013.
Buscar texto completoSøgaard, Anders. Semi-Supervised Learning and Domain Adaptation in Natural Language Processing. Morgan & Claypool Publishers, 2013.
Buscar texto completoSøgaard, Anders. Semi-Supervised Learning and Domain Adaptation in Natural Language Processing. Springer International Publishing AG, 2013.
Buscar texto completoBunt, Harry, Joakim Nivre y Paola Merlo. Trends in Parsing Technology: Dependency Parsing, Domain Adaptation, and Deep Parsing. Springer, 2012.
Buscar texto completoTermeer, Catrien, Arwin van Buuren, Art Dewulf, Dave Huitema, Heleen Mees, Sander Meijerink y Marleen van Rijswick. Governance Arrangements for Adaptation to Climate Change. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.600.
Texto completoCervantes, Richard C. y Thuy Bui. Redefining the Contexts of Acculturation Related Stress Among Latino Adults. Editado por Seth J. Schwartz y Jennifer Unger. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190215217.013.31.
Texto completoHayden, Elizabeth P. y C. Emily Durbin. Development and Psychopathology. Editado por Thomas H. Ollendick, Susan W. White y Bradley A. White. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190634841.013.3.
Texto completoZhou, Kevin, Qian Wang, M. Jorge Cardoso, Fausto Milletari, Hien V. Nguyen, Shadi Albarqouni, Nicola Rieke et al. Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data: First MICCAI Workshop, DART 2019, and ... Springer, 2019.
Buscar texto completoIslam, Mobarakol, Jorge Cardoso, Lisa Koch, Ziyue Xu y Konstantinos Kamnitsas. Domain Adaptation and Representation Transfer: 4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Springer, 2022.
Buscar texto completoJiang, Meirui. Domain Adaptation and Representation Transfer: 5th MICCAI Workshop, DART 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings. Springer, 2023.
Buscar texto completo