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1

Li, Jingjing, Lei Zhu, and Zhekai Du. Unsupervised Domain Adaptation. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1025-6.

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2

Kamnitsas, Konstantinos, Lisa Koch, Mobarakol Islam, et al., eds. Domain Adaptation and Representation Transfer. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-16852-9.

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3

Singh, Richa, Mayank Vatsa, Vishal M. Patel, and Nalini Ratha, eds. Domain Adaptation for Visual Understanding. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30671-7.

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4

Koch, Lisa, M. Jorge Cardoso, Enzo Ferrante, et al., eds. Domain Adaptation and Representation Transfer. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-45857-6.

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5

Csurka, Gabriela, ed. Domain Adaptation in Computer Vision Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58347-1.

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6

Csurka, Gabriela, Timothy M. Hospedales, Mathieu Salzmann, and Tatiana Tommasi. Visual Domain Adaptation in the Deep Learning Era. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-79175-8.

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7

Venkateswara, Hemanth, and Sethuraman Panchanathan, eds. Domain Adaptation in Computer Vision with Deep Learning. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45529-3.

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8

Søgaard, Anders. Semi-Supervised Learning and Domain Adaptation in Natural Language Processing. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-031-02149-7.

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9

Albarqouni, Shadi, Spyridon Bakas, Konstantinos Kamnitsas, et al., eds. Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60548-3.

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10

Bunt, Harry C. Trends in Parsing Technology: Dependency Parsing, Domain Adaptation, and Deep Parsing. Springer Science+Business Media B.V., 2011.

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11

Baid, Ujjwal, Reuben Dorent, Sylwia Malec, et al., eds. Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-76163-8.

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12

Albarqouni, Shadi, M. Jorge Cardoso, Qi Dou, et al., eds. Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87722-4.

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13

Wang, Qian, Fausto Milletari, Hien V. Nguyen, et al., eds. Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33391-1.

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14

Fenwick, John. The public domain in an English region: Aspects of adaptation and change in public authorities. Centre for the Study of Public Policy, University of Strathclyde, 1989.

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15

Canada, 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. Environment Canada = Environnement Canada, 1989.

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16

Wallberg, Günther. Die Schutzfähigkeit von Bearbeitungen gemeinfreier Werke der Ernsten Musik im europäischen Vergleich. P. Lang, 2002.

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17

Redko, Ievgen, Amaury Habrard, Marc Sebban, Emilie Morvant, and Younès Bennani. Advances in Domain Adaptation Theory. Elsevier, 2019.

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18

Ratha, Nalini, Vishal M. Patel, Richa Singh, and Mayank Vatsa. Domain Adaptation for Visual Understanding. Springer, 2020.

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19

Gopalan, Raghuraman, Ruonan Li, Rama Chellappa, and Vishal M. Patel. Domain Adaptation for Visual Recognition. Now Publishers, 2015.

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20

Ratha, Nalini, Vishal M. Patel, Richa Singh, and Mayank Vatsa. Domain Adaptation for Visual Understanding. Springer International Publishing AG, 2021.

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21

Csurka, Gabriela. Domain Adaptation in Computer Vision Applications. Springer, 2017.

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22

Redko, Ievgen, Amaury Habrard, Emile Morvant, Marc Sebban, and Younes Bennani. Domain Adaptation Theory: Available Theoretical Results. Elsevier, 2019.

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23

Csurka, Gabriela. Domain Adaptation in Computer Vision Applications. Springer, 2018.

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24

Simonson, Tatum S., and 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.

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25

Hospedales, Timothy M., Tatiana Tommasi, Gabriela Csurka, and Mathieu Salzmann. Visual Domain Adaptation in the Deep Learning Era. Morgan & Claypool Publishers, 2022.

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26

Hospedales, Timothy M., Tatiana Tommasi, Gabriela Csurka, and Mathieu Salzmann. Visual Domain Adaptation in the Deep Learning Era. Springer International Publishing AG, 2022.

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27

Hospedales, Timothy M., Tatiana Tommasi, Gabriela Csurka, and Mathieu Salzmann. Visual Domain Adaptation in the Deep Learning ERA. Morgan & Claypool Publishers, 2022.

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28

Hospedales, Timothy M., Tatiana Tommasi, Gabriela Csurka, and Mathieu Salzmann. Visual Domain Adaptation in the Deep Learning ERA. Morgan & Claypool Publishers, 2022.

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29

Venkateswara, Hemanth, and Sethuraman Panchanathan. Domain Adaptation in Computer Vision with Deep Learning. Springer, 2020.

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30

Venkateswara, Hemanth, and Sethuraman Panchanathan. Domain Adaptation in Computer Vision with Deep Learning. Springer International Publishing AG, 2021.

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31

Hospedales, Timothy M., Tatiana Tommasi, Gabriela Csurka, and Mathieu Salzmann. Visual Domain Adaptation in the Deep Learning Era. Springer International Publishing AG, 2022.

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32

Du, Zhekai. Unsupervised Domain Adaptation: Recent Advances and Future Perspectives. Springer, 2024.

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33

Jackson, Scott. Systems Engineering for Commercial Aircraft: A Domain-Specific Adaptation. CRC Press LLC, 2016.

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34

Jackson, Scott. Systems Engineering for Commercial Aircraft: A Domain-Specific Adaptation. CRC Press LLC, 2016.

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35

Jackson, Scott. Systems Engineering for Commercial Aircraft: A Domain-Specific Adaptation. CRC Press LLC, 2020.

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36

Jackson, Scott. Systems engineering for commercial aircraft: A domain-specific adaptation. 2017.

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37

Jackson, Scott. Systems Engineering for Commercial Aircraft: A Domain-Specific Adaptation. CRC Press LLC, 2020.

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38

Jackson, Scott. Systems Engineering for Commercial Aircraft: A Domain-Specific Adaptation. CRC Press LLC, 2020.

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39

Jackson, Scott. Systems Engineering for Commercial Aircraft: A Domain-Specific Adaptation. CRC Press LLC, 2020.

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40

Jackson, Scott. Systems Engineering for Commercial Aircraft: A Domain-Specific Adaptation. CRC Press LLC, 2016.

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41

Jackson, Scott. Systems Engineering for Commercial Aircraft: A Domain-Specific Adaptation. CRC Press LLC, 2016.

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42

Søgaard, Anders. Semi-Supervised Learning and Domain Adaptation in Natural Language Processing. Morgan & Claypool Publishers, 2013.

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43

Søgaard, Anders. Semi-Supervised Learning and Domain Adaptation in Natural Language Processing. Morgan & Claypool Publishers, 2013.

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44

Søgaard, Anders. Semi-Supervised Learning and Domain Adaptation in Natural Language Processing. Springer International Publishing AG, 2013.

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45

Bunt, Harry, Joakim Nivre, and Paola Merlo. Trends in Parsing Technology: Dependency Parsing, Domain Adaptation, and Deep Parsing. Springer, 2012.

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46

Termeer, Catrien, Arwin van Buuren, Art Dewulf, et al. Governance Arrangements for Adaptation to Climate Change. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.600.

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Adaptation to climate change is not only a technical issue; above all, it is a matter of governance. Governance is more than government and includes the totality of interactions in which public as well as private actors participate, aiming to solve societal problems. Adaptation governance poses some specific, demanding challenges, such as the context of institutional fragmentation, as climate change involves almost all policy domains and governance levels; the persistent uncertainties about the nature and scale of risks and proposed solutions; and the need to make short-term policies based on
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47

Cervantes, Richard C., and Thuy Bui. Redefining the Contexts of Acculturation Related Stress Among Latino Adults. Edited by Seth J. Schwartz and Jennifer Unger. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190215217.013.31.

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The scientific and clinical need to advance understanding of the processes related to Hispanic acculturation and its impacts is pressing. This chapter articulates how acculturation stress and related specific stressor events occur within distinct life domains or contexts. New research is juxtaposed to previous research that demonstrated how acculturation stressors cluster in unique, orthogonal, and independent life domains among both adult and adolescent Hispanics. This chapter refers to contexts of acculturation stress as spheres of life or domains that entail social and psychological interac
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48

Protassova, Ekaterina, and Maria Yelenevskaya. Everyday Linguistic and Cultural Practices of the Russophone Diaspora. The Rowman & Littlefield Publishing Group, Inc., 2024. https://doi.org/10.5040/9798881887643.

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The Russian language has evolved into a lingua franca in post-Soviet immigrant communities, prompting an analysis of its use in different domains. Everyday Linguistic and Cultural Practices of the Russophone Diaspora explores the language maintenance of Russian abroad, emphasizing the role of educational ventures and transnational communications facilitated by the internet. This book researches specific aspects of migrant life, including occupational practices, homemaking, family dynamics, cultural engagement, and linguistic hybridity, and makes use of extensive empirical data spanning Soviet,
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49

Hayden, Elizabeth P., and C. Emily Durbin. Development and Psychopathology. Edited by Thomas H. Ollendick, Susan W. White, and Bradley A. White. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190634841.013.3.

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The developmental psychopathology perspective, which can be understood as both a conceptual approach and a scientific discipline, aims to integrate the historically distinct domains of child development and psychopathology toward the goal of advancing the understanding of children’s adaptation and maladaptation. This chapter provides an overview of the key concepts and methodologies that characterize the discipline, drawing heavily on seminal early work on the topic; these key concepts and methodologies are integrated with a consideration of current trends and concepts in the field. The curren
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50

Zhou, Kevin, Qian Wang, M. Jorge Cardoso, 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.

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