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Relevant bibliographies by topics / Transfer of adaptation

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Academic literature on the topic 'Transfer of adaptation'

Author: Grafiati

Published: 12 April 2025

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Journal articles on the topic "Transfer of adaptation"

1

Schnier, Fabian, and Markus Lappe. "Differences in intersaccadic adaptation transfer between inward and outward adaptation." Journal of Neurophysiology 106, no. 3 (2011): 1399–410. http://dx.doi.org/10.1152/jn.00236.2011.

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Saccadic adaptation is a mechanism to increase or decrease the amplitude gain of subsequent saccades, if a saccade is not on target. Recent research has shown that the mechanism of gain increasing, or outward adaptation, and the mechanism of gain decreasing, or inward adaptation, rely on partly different processes. We investigate how outward and inward adaptation of reactive saccades transfer to other types of saccades, namely scanning, overlap, memory-guided, and gap saccades. Previous research has shown that inward adaptation of reactive saccades transfers only partially to these other sacca

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Earhart, Gammon M., G. Melvill Jones, F. B. Horak, E. W. Block, K. D. Weber, and W. A. Fletcher. "Forward Versus Backward Walking: Transfer of Podokinetic Adaptation." Journal of Neurophysiology 86, no. 4 (2001): 1666–70. http://dx.doi.org/10.1152/jn.2001.86.4.1666.

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We asked whether podokinetic adaptation to walking on a circular treadmill transfers to different forms of locomotion. Subjects were blindfolded and asked to walk straight across the floor, in the forward and backward directions, following podokinetic (PK) stimulation that consisted of 30 min of forward walking-in-place on the perimeter of a disk rotating in the clockwise direction. During both forward and backward walking following forward-walking PK stimulation, subjects involuntarily walked along curved trajectories at angular velocities well above vestibular threshold, although they percei

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Wible, Brad. "Technology transfer for adaptation." Science 345, no. 6197 (2014): 634.5–635. http://dx.doi.org/10.1126/science.345.6197.634-e.

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Biagini, Bonizella, Laura Kuhl, Kelly Sims Gallagher, and Claudia Ortiz. "Technology transfer for adaptation." Nature Climate Change 4, no. 9 (2014): 828–34. http://dx.doi.org/10.1038/nclimate2305.

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Wang, Jinsung, and Robert L. Sainburg. "Interlimb Transfer of Novel Inertial Dynamics Is Asymmetrical." Journal of Neurophysiology 92, no. 1 (2004): 349–60. http://dx.doi.org/10.1152/jn.00960.2003.

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Mechanisms underlying interlimb transfer of adaptation to visuomotor rotations have recently been explored in depth. However, little data are available regarding interlimb transfer of adaptation to novel inertial dynamics. The present study thus investigated interlimb transfer of dynamics by examining the effect of initial training with one arm on subsequent performance with the other in adaptation to a 1.5-kg mass attached eccentrically to the forearm. Using inverse dynamic analysis, we examined the changes in torque strategies associated with adaptation to the extra mass, and with interlimb

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Murali, Ranjani, Hang Yu, Daan R. Speth, et al. "Physiological potential and evolutionary trajectories of syntrophic sulfate-reducing bacterial partners of anaerobic methanotrophic archaea." PLOS Biology 21, no. 9 (2023): e3002292. http://dx.doi.org/10.1371/journal.pbio.3002292.

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Sulfate-coupled anaerobic oxidation of methane (AOM) is performed by multicellular consortia of anaerobic methanotrophic (ANME) archaea in obligate syntrophic partnership with sulfate-reducing bacteria (SRB). Diverse ANME and SRB clades co-associate but the physiological basis for their adaptation and diversification is not well understood. In this work, we used comparative metagenomics and phylogenetics to investigate the metabolic adaptation among the 4 main syntrophic SRB clades (HotSeep-1, Seep-SRB2, Seep-SRB1a, and Seep-SRB1g) and identified features associated with their syntrophic lifes

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Sauer, Yannick, Siegfried Wahl, and Katharina Rifai. "Interocular transfer of distortion adaptation." Journal of Vision 20, no. 11 (2020): 663. http://dx.doi.org/10.1167/jov.20.11.663.

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Redding, Gordon M., and Benjamin Wallace. "Intermanual Transfer of Prism Adaptation." Journal of Motor Behavior 40, no. 3 (2008): 246–64. http://dx.doi.org/10.3200/jmbr.40.3.246-264.

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Kojima, Yoshiko, Albert F. Fuchs, and Robijanto Soetedjo. "Adaptation and adaptation transfer characteristics of five different saccade types in the monkey." Journal of Neurophysiology 114, no. 1 (2015): 125–37. http://dx.doi.org/10.1152/jn.00212.2015.

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Shifts in the direction of gaze are accomplished by different kinds of saccades, which are elicited under different circumstances. Saccade types include targeting saccades to simple jumping targets, delayed saccades to visible targets after a waiting period, memory-guided (MG) saccades to remembered target locations, scanning saccades to stationary target arrays, and express saccades after very short latencies. Studies of human cases and neurophysiological experiments in monkeys suggest that separate pathways, which converge on a common locus that provides the motor command, generate these dif

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Lefumat, Hannah Z., Jean-Louis Vercher, R. Chris Miall, et al. "To transfer or not to transfer? Kinematics and laterality quotient predict interlimb transfer of motor learning." Journal of Neurophysiology 114, no. 5 (2015): 2764–74. http://dx.doi.org/10.1152/jn.00749.2015.

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Humans can remarkably adapt their motor behavior to novel environmental conditions, yet it remains unclear which factors enable us to transfer what we have learned with one limb to the other. Here we tested the hypothesis that interlimb transfer of sensorimotor adaptation is determined by environmental conditions but also by individual characteristics. We specifically examined the adaptation of unconstrained reaching movements to a novel Coriolis, velocity-dependent force field. Right-handed subjects sat at the center of a rotating platform and performed forward reaching movements with the upp

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Dissertations / Theses on the topic "Transfer of adaptation"

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Garrick-Bethell, Ian 1980. "Cross plane transfer of vestibular adaptation to human centrifugation." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/17770.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004.<br>Includes bibliographical references (p. 101-106).<br>Human short-radius centrifugation (SRC) is being investigated as a volume-efficient means of delivering intermittent doses of "artificial gravity" to counter the deleterious effects of long exposures to weightlessness. Rotation rates on short radius centrifuges are high to provide the needed g-loading, and therefore entail a variety of unusual vestibular stimuli when certain head movements are made. Since these movements can elicit inappropr

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Otte, Ellen. "Transfer of adaptation across movement categories in eye hand coordination /." kostenfrei, 2008. http://nbn-resolving.de/urn:nbn:de:hbz:294-26534.

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Backlund, Per. "Development process knowledge transfer through method adaptation, implementation, and use /." Kista : Department of Computer and Systems Sciences, Stockholm University, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-287.

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McFarlane, B. "Novel into film: Transfer and adaptation; the processes of transposition." Thesis, University of East Anglia, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.374692.

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Lefumat, Hannah. "Interlimb transfer of sensorimotor adaptation : predictive factors and underlying processes." Thesis, Aix-Marseille, 2016. http://www.theses.fr/2016AIXM4014/document.

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L’adaptation motrice renvoie à la capacité de notre système nerveux à produire continuellement des mouvements précis et ce malgré le fait que notre environnement ainsi que notre corps puissent être soumis à des modifications. Le transfert d’adaptation entre les membres découle de notre habilité à généraliser ce que l’on a appris, par exemple, avec un bras au bras opposé. Le transfert entre les membres est un objet d’étude complexe. Les conditions amenant au transfert sont largement débattues dans la littérature car les résultats d’une étude à l’autre peuvent être contradictoires. Ce travail de

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Buechel, Kathryn Jean. "Institutional Adaptation and Public Policy Practices of Military Transfer Credit." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/96791.

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Veterans who served our country, return with a wealth of experience that transfer into military credit for prior service. These transfer credits in institutions of higher education apply towards education degree attainment. With colleges and universities implementing individual policies for acceptance of credits, veterans experience a loss of credits leading to a duplication of required classes to achieve degrees. To understand inconsistent practices, both federal and institutions of higher education polices are examined. Framed by institutionalization theory, this research sheds light on the

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Meftah, Sara. "Neural Transfer Learning for Domain Adaptation in Natural Language Processing." Thesis, université Paris-Saclay, 2021. http://www.theses.fr/2021UPASG021.

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Les méthodes d’apprentissage automatique qui reposent sur les Réseaux de Neurones (RNs) ont démontré des performances de prédiction qui s'approchent de plus en plus de la performance humaine dans plusieurs applications du Traitement Automatique de la Langue (TAL) qui bénéficient de la capacité des différentes architectures des RNs à généraliser à partir des régularités apprises à partir d'exemples d'apprentissage. Toutefois, ces modèles sont limités par leur dépendance aux données annotées. En effet, pour être performants, ces modèles neuronaux ont besoin de corpus annotés de taille importante

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Batikh, Ali. "Saccadic adaptation : cross-modal transfer and effect of spatial attention." Electronic Thesis or Diss., Lyon 1, 2024. http://www.theses.fr/2024LYO10354.

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Notre cerveau génère continuellement des mouvements oculaires saccadiques et maintient leur précision grâce à l'adaptation saccadique (AS). Bien que l’AS ait été largement étudiée depuis la fin du 20ᵉ siècle, de nombreuses questions restent ouvertes. Par exemple, en plus des cibles visuelles, les saccades peuvent également être effectuées vers des stimuli somatosensoriels et auditifs, mais on ne sait pas si ces ‘saccades non visuelles’ peuvent être adaptées comme les ‘saccades visuelles’. Dans la première partie de cette thèse, nous avons étudié la possibilité de modifier l'amplitude des sacca

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Howarth, Christopher. "Pattern adaptation and its interocular transfer in the primary visual cortex." Thesis, Cardiff University, 2008. http://orca.cf.ac.uk/54710/.

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Adaptation to a high contrast grating temporarily reduces the contrast sensitivity of neurons in the primary visual cortex (VI). If this adaptation is induced in one eye and the contrast tested with the other a partial transfer of the after-effect is produced, known as interocular transfer (IOT). Intrinsic hyperpolarisation of a cells membrane explains most of this effect, but not the orientation selective nature of adaptation. Optical imaging of intrinsic signals in anaesthetised cats and tree shrews was used to visualise orientation selective responses in VI before and after brief and chroni

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Shell, Jethro. "Fuzzy transfer learning." Thesis, De Montfort University, 2013. http://hdl.handle.net/2086/8842.

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The use of machine learning to predict output from data, using a model, is a well studied area. There are, however, a number of real-world applications that require a model to be produced but have little or no data available of the specific environment. These situations are prominent in Intelligent Environments (IEs). The sparsity of the data can be a result of the physical nature of the implementation, such as sensors placed into disaster recovery scenarios, or where the focus of the data acquisition is on very defined user groups, in the case of disabled individuals. Standard machine learnin

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Books on the topic "Transfer of adaptation"

1

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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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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Organization, Asian Productivity, ed. Technology assimilation and adaptation: Survey & symposium report. Asian Productivity Organization, 1986.

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Organization, Asian Productivity, ed. Technology development, adaptation, and assimilation strategies at corporate level: Survey report. Asian Productivity Organization, 1994.

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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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McFarlane, Brian. Novel into film: Transfer and adaptation : the processes of transposition. University ofEast Anglia, 1987.

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7

A, Kuipers, Klopčič Marija, and Thomas Cled, eds. Knowledge transfer in cattle husbandry: New management practices, attitudes and adaptation. Wageningen Academic Publishers, 2005.

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International, Symposium "Transfer and Adaptation of Advanced Technologies in Asia" (3rd 2001 Novosibirsk Russia). Adaptation and transfer of advanced technologies in Asia: International symposium : proceedings : Novosibirsk, Russia, August 21-23, 2001. Publishing House of the Siberian Branch RAS, 2002.

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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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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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Book chapters on the topic "Transfer of adaptation"

1

Weik, Martin H. "transfer mode adaptation." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_19895.

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Kamath, Uday, John Liu, and James Whitaker. "Transfer Learning: Domain Adaptation." In Deep Learning for NLP and Speech Recognition. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14596-5_11.

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Weik, Martin H. "asynchronous transfer mode adaptation." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_946.

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Gupta, Abhishek, and Yew-Soon Ong. "Sequential Knowledge Transfer Across Problems." In Adaptation, Learning, and Optimization. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02729-2_5.

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Gupta, Abhishek, and Yew-Soon Ong. "Multitask Knowledge Transfer Across Problems." In Adaptation, Learning, and Optimization. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02729-2_6.

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Chen, Xiaoyi, and Régis Lengellé. "Domain Adaptation Transfer Learning by Kernel Representation Adaptation." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93647-5_3.

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Zhang, Huaxiang. "Transfer Learning through Domain Adaptation." In Advances in Neural Networks – ISNN 2011. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21111-9_57.

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Matsun, Aleksandr, Dana O. Mohamed, Sharon Chokuwa, Muhammad Ridzuan, and Mohammad Yaqub. "DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification." In Domain Adaptation and Representation Transfer. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45857-6_12.

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Kushol, Rafsanjany, Richard Frayne, Simon J. Graham, Alan H. Wilman, Sanjay Kalra, and Yee-Hong Yang. "Domain Adaptation of MRI Scanners as an Alternative to MRI Harmonization." In Domain Adaptation and Representation Transfer. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45857-6_1.

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Mello Rella, Edoardo, Ajad Chhatkuli, Ender Konukoglu, and Luc Van Gool. "MultiVT: Multiple-Task Framework for Dentistry." In Domain Adaptation and Representation Transfer. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45857-6_2.

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Conference papers on the topic "Transfer of adaptation"

1

Chang, Hao-Yun, and Wen-Jiin Tsai. "Shadow-Aware Makeup Transfer with Lighting Adaptation." In 2024 IEEE International Conference on Image Processing (ICIP). IEEE, 2024. http://dx.doi.org/10.1109/icip51287.2024.10647290.

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Xu, Wenjie, Meichen Liu, and Bihan Wen. "Low-Rank Transformer Adaptation for Arbitrary Style Transfer." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10887739.

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Attaullah, Hasina, Anum Kiani, and Thorsten Jungeblut. "Improving Transfer Learning and Domain Adaptation in Smart Homes: The Role of Dynamic Domain Adaptation Layer." In 2024 International Conference on Frontiers of Information Technology (FIT). IEEE, 2024. https://doi.org/10.1109/fit63703.2024.10838396.

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Kim, Yeachan, Jun-Hyung Park, SungHo Kim, Juhyeong Park, Sangyun Kim, and SangKeun Lee. "SEED: Semantic Knowledge Transfer for Language Model Adaptation to Materials Science." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-industry.31.

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Luo, Yuanchang, Zhanglin Wu, Daimeng Wei, et al. "Multilingual Transfer and Domain Adaptation for Low-Resource Languages of Spain." In Proceedings of the Ninth Conference on Machine Translation. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.wmt-1.93.

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Hasan, Md Nazmul, Rafia Nishat Toma, Sana Ullah Jan, and Insoo Koo. "Transfer Learning with Domain Adaptation for Unlabelled Sensor Faulty Data Classification." In 2024 15th International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2024. https://doi.org/10.1109/ictc62082.2024.10826888.

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Kahenga, Ferdinand, Antoine Bagula, and Sajal K. Das. "FedDAFL: Federated Transfer Learning with Domain Adaptation for Frugally Labeled Datasets." In GLOBECOM 2024 - 2024 IEEE Global Communications Conference. IEEE, 2024. https://doi.org/10.1109/globecom52923.2024.10901238.

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Li, Lusi, Haibo He, Jie Li, and Guang Yang. "Adversarial Domain Adaptation via Category Transfer." In 2019 International Joint Conference on Neural Networks (IJCNN). IEEE, 2019. http://dx.doi.org/10.1109/ijcnn.2019.8851925.

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Wang, Jindong, Yiqiang Chen, Shuji Hao, Wenjie Feng, and Zhiqi Shen. "Balanced Distribution Adaptation for Transfer Learning." In 2017 IEEE International Conference on Data Mining (ICDM). IEEE, 2017. http://dx.doi.org/10.1109/icdm.2017.150.

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Chen, Zhihong, Chao Chen, Zhaowei Cheng, Boyuan Jiang, Ke Fang, and Xinyu Jin. "Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation." In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. http://dx.doi.org/10.1109/cvpr42600.2020.01272.

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Reports on the topic "Transfer of adaptation"

1

Thompson, B., T. Koren, and B. Buffam. PPP Over Asynchronous Transfer Mode Adaptation Layer 2 (AAL2). RFC Editor, 2002. http://dx.doi.org/10.17487/rfc3336.

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Thompson, B., T. Koren, and B. Buffam. Class Extensions for PPP over Asynchronous Transfer Mode Adaptation Layer 2. RFC Editor, 2002. http://dx.doi.org/10.17487/rfc3337.

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Morneault, K., R. Dantu, G. Sidebottom, B. Bidulock, and J. Heitz. Signaling System 7 (SS7) Message Transfer Part 2 (MTP2) - User Adaptation Layer. RFC Editor, 2002. http://dx.doi.org/10.17487/rfc3331.

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Sidebottom, G., K. Morneault, and J. Pastor-Balbas, eds. Signaling System 7 (SS7) Message Transfer Part 3 (MTP3) - User Adaptation Layer (M3UA). RFC Editor, 2002. http://dx.doi.org/10.17487/rfc3332.

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Morneault, K., and J. Pastor-Balbas, eds. Signaling System 7 (SS7) Message Transfer Part 3 (MTP3) - User Adaptation Layer (M3UA). RFC Editor, 2006. http://dx.doi.org/10.17487/rfc4666.

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George, T., B. Bidulock, R. Dantu, H. Schwarzbauer, and K. Morneault. Signaling System 7 (SS7) Message Transfer Part 2 (MTP2) - User Peer-to-Peer Adaptation Layer (M2PA). RFC Editor, 2005. http://dx.doi.org/10.17487/rfc4165.

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Sorensen, Soren J. Importance of Mobile Genetic Elements and Conjugal Gene Transfer for Subsurface Microbial Community Adaptation to Biotransformation of Metals. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/893590.

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Sorensen, Soren J. Importance of Mobile Genetic Elements and Conjugal Gene Transfer for Subsurface Microbial Community Adaptation to Biotransformation of Metals. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/893687.

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Vilalta, Ricardo. Modern Machine Learning Techniques. Instats Inc., 2024. http://dx.doi.org/10.61700/6sziq6usb3koe786.

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This workshop offers a comprehensively introduction to modern machine learning techniques in Python. Designed for PhD students, professors, and professional researchers, the seminar covers a variety of valuable techniques for machine learning, from meta-learning and transfer learning, to domain adaptation, active learning, deep learning, and Bayesian networks, equipping participants with key practical skills to enhance their research capabilities.

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Lindner, André, Jürgen Stamm, Edeltraud Günther, Mukand Babel, Hasmik Barseghyan, and Kensuke Fukushi Titel. Water security and climate change adaptation as local challenges with global importance – addressing the gap between knowledge generation and best practice application. Technische Universität Dresden, 2022. http://dx.doi.org/10.25368/2023.117.

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The communication of naturally complex issues like climate change, tipping points, socio-ecological systems, and their interaction with the hydrological cycle and water security is equally important as it is challenging. Beyond the complexity, the long-term and often delayed characteristics furthermore do not match with either political election cycles or quarterly business reports. Academic institutions are at the forefront to assess, reveal and understand such complex systems, but certainly more engagement is needed to effectively transfer the most urgent derivations in practice and policy o

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