Relevant bibliographies by topics / Transfer of Learning

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Transfer of Learning'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Transfer of Learning.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Transfer of Learning"

1

Alla, Sri Sai Meghana, and Kavitha Athota. "Brain Tumor Detection Using Transfer Learning in Deep Learning." Indian Journal Of Science And Technology 15, no. 40 (2022): 2093–102. http://dx.doi.org/10.17485/ijst/v15i40.1307.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Würschinger, Hubert, Matthias Mühlbauer, and Nico Hanenkamp. "Transfer Learning für visuelle Kontrollaufgaben/Potentials of Transfer Learning." wt Werkstattstechnik online 110, no. 04 (2020): 264–69. http://dx.doi.org/10.37544/1436-4980-2020-04-98.

Full text
Abstract:
In der industriellen Praxis wird eine Vielzahl von Prozess- und Qualitätskontrollaufgaben visuell von Mitarbeitern oder mithilfe von Kamerasystemen durchgeführt. Durch den Einsatz Künstlicher Intelligenz (KI) lässt sich die Programmierung und damit die Implementierung von Kamerasystemen effizienter gestalten. Im Bereich der Bildanalyse können dabei vortrainierte Künstliche Neuronale Netze verwendet werden. Das Anwenden dieser Netze auf neue Aufgaben wird dabei Transfer Learning genannt.   In industrial practice, a large number of process and quality control tasks are performed visuall
APA, Harvard, Vancouver, ISO, and other styles
3

Xu, Mingle, Sook Yoon, Jaesu Lee, and Dong Sun Park. "Unsupervised Transfer Learning for Plant Anomaly Recognition." Korean Institute of Smart Media 11, no. 4 (2022): 30–37. http://dx.doi.org/10.30693/smj.2022.11.4.30.

Full text
Abstract:
Disease threatens plant growth and recognizing the type of disease is essential to making a remedy. In recent years, deep learning has witnessed a significant improvement for this task, however, a large volume of labeled images is one of the requirements to get decent performance. But annotated images are difficult and expensive to obtain in the agricultural field. Therefore, designing an efficient and effective strategy is one of the challenges in this area with few labeled data. Transfer learning, assuming taking knowledge from a source domain to a target domain, is borrowed to address this
APA, Harvard, Vancouver, ISO, and other styles
4

Tejaswini, Dubasi, and Uma Rani Vanamala. "Security System based on Transfer Learning Model." International Journal of Science and Research (IJSR) 12, no. 10 (2023): 1144–49. http://dx.doi.org/10.21275/sr231013184540.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Cao, Bin, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung, and Qiang Yang. "Adaptive Transfer Learning." Proceedings of the AAAI Conference on Artificial Intelligence 24, no. 1 (2010): 407–12. http://dx.doi.org/10.1609/aaai.v24i1.7682.

Full text
Abstract:
Transfer learning aims at reusing the knowledge in some source tasks to improve the learning of a target task. Many transfer learning methods assume that the source tasks and the target task be related, even though many tasks are not related in reality. However, when two tasks are unrelated, the knowledge extracted from a source task may not help, and even hurt, the performance of a target task. Thus, how to avoid negative transfer and then ensure a "safe transfer" of knowledge is crucial in transfer learning. In this paper, we propose an Adaptive Transfer learning algorithm based on Gaussian
APA, Harvard, Vancouver, ISO, and other styles
6

Yu, Zhengxu, Dong Shen, Zhongming Jin, Jianqiang Huang, Deng Cai, and Xian-Sheng Hua. "Progressive Transfer Learning." IEEE Transactions on Image Processing 31 (2022): 1340–48. http://dx.doi.org/10.1109/tip.2022.3141258.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Renta-Davids, Ana-Inés, José-Miguel Jiménez-González, Manel Fandos-Garrido, and Ángel-Pío González-Soto. "Transfer of learning." European Journal of Training and Development 38, no. 8 (2014): 728–44. http://dx.doi.org/10.1108/ejtd-03-2014-0026.

Full text
Abstract:
Purpose – This paper aims to analyse transfer of learning to workplace regarding to job-related training courses. Training courses analysed in this study are offered under the professional training for employment framework in Spain. Design/methodology/approach – During the training courses, trainees completed a self-reported survey of reasons for participation (time 1 data collection, N = 447). Two months after training, a second survey was sent to the trainees by email (time 2 data collection, N = 158). Factor analysis, correlations and multiple hierarchical regressions were performed. Findin
APA, Harvard, Vancouver, ISO, and other styles
8

Tetzlaff, Linda. "Transfer of learning." ACM SIGCHI Bulletin 17, SI (1986): 205–10. http://dx.doi.org/10.1145/30851.275631.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Koçer, Barış, and Ahmet Arslan. "Genetic transfer learning." Expert Systems with Applications 37, no. 10 (2010): 6997–7002. http://dx.doi.org/10.1016/j.eswa.2010.03.019.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Tetzlaff, Linda. "Transfer of learning." ACM SIGCHI Bulletin 18, no. 4 (1987): 205–10. http://dx.doi.org/10.1145/1165387.275631.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Transfer of Learning"

1

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

Full text
Abstract:
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
APA, Harvard, Vancouver, ISO, and other styles
2

Lu, Ying. "Transfer Learning for Image Classification." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEC045/document.

Full text
Abstract:
Lors de l’apprentissage d’un modèle de classification pour un nouveau domaine cible avec seulement une petite quantité d’échantillons de formation, l’application des algorithmes d’apprentissage automatiques conduit généralement à des classifieurs surdimensionnés avec de mauvaises compétences de généralisation. D’autre part, recueillir un nombre suffisant d’échantillons de formation étiquetés manuellement peut s’avérer très coûteux. Les méthodes de transfert d’apprentissage visent à résoudre ce type de problèmes en transférant des connaissances provenant d’un domaine source associé qui contient
APA, Harvard, Vancouver, ISO, and other styles
3

Alexander, John W. "Transfer in reinforcement learning." Thesis, University of Aberdeen, 2015. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=227908.

Full text
Abstract:
The problem of developing skill repertoires autonomously in robotics and artificial intelligence is becoming ever more pressing. Currently, the issues of how to apply prior knowledge to new situations and which knowledge to apply have not been sufficiently studied. We present a transfer setting where a reinforcement learning agent faces multiple problem solving tasks drawn from an unknown generative process, where each task has similar dynamics. The task dynamics are changed by varying in the transition function between states. The tasks are presented sequentially with the latest task presente
APA, Harvard, Vancouver, ISO, and other styles
4

Kiehl, Janet K. "Learning to Change: Organizational Learning and Knowledge Transfer." online version, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=case1080608710.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Johnson, C. Dustin. "Set-Switching and Learning Transfer." Digital Archive @ GSU, 2008. http://digitalarchive.gsu.edu/psych_hontheses/7.

Full text
Abstract:
In this experiment I investigated the relationship between set-switching and transfer learning, both of which presumably invoke executive functioning (EF), which may in turn be correlated with intelligence. Set-switching was measured by a computerized version of the Wisconsin Card Sort Task. Another computer task was written to measure learning-transfer ability. The data indicate little correlation between the ability to transfer learning and the capacity for set-switching. That is, these abilities may draw from independent cognitive mechanisms. The major difference may be requirement to
APA, Harvard, Vancouver, ISO, and other styles
6

Skolidis, Grigorios. "Transfer learning with Gaussian processes." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/6271.

Full text
Abstract:
Transfer Learning is an emerging framework for learning from data that aims at intelligently transferring information between tasks. This is achieved by developing algorithms that can perform multiple tasks simultaneously, as well as translating previously acquired knowledge to novel learning problems. In this thesis, we investigate the application of Gaussian Processes to various forms of transfer learning with a focus on classification problems. This process initiates with a thorough introduction to the framework of Transfer learning, providing a clear taxonomy of the areas of research. Foll
APA, Harvard, Vancouver, ISO, and other styles
7

Chen, Xiaoyi. "Transfer Learning with Kernel Methods." Thesis, Troyes, 2018. http://www.theses.fr/2018TROY0005.

Full text
Abstract:
Le transfert d‘apprentissage regroupe les méthodes permettant de transférer l’apprentissage réalisé sur des données (appelées Source) à des données nouvelles, différentes, mais liées aux données Source. Ces travaux sont une contribution au transfert d’apprentissage homogène (les domaines de représentation des Source et Cible sont identiques) et transductif (la tâche à effectuer sur les données Cible est identique à celle sur les données Source), lorsque nous ne disposons pas d’étiquettes des données Cible. Dans ces travaux, nous relâchons la contrainte d’égalité des lois des étiquettes conditi
APA, Harvard, Vancouver, ISO, and other styles
8

Al, Chalati Abdul Aziz, and Syed Asad Naveed. "Transfer Learning for Machine Diagnostics." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-43185.

Full text
Abstract:
Fault detection and diagnostics are crucial tasks in condition-based maintenance. Industries nowadays are in need of fault identification in their machines as early as possible to save money and take precautionary measures in case of fault occurrence. Also, it is beneficial for the smooth interference in the manufacturing process in which it avoids sudden malfunctioning. Having sufficient training data for industrial machines is also a major challenge which is a prerequisite for deep neural networks to train an accurate prediction model. Transfer learning in such cases is beneficial as it can
APA, Harvard, Vancouver, ISO, and other styles
9

Arnekvist, Isac. "Transfer Learning using low-dimensional Representations in Reinforcement Learning." Licentiate thesis, KTH, Robotik, perception och lärande, RPL, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279120.

Full text
Abstract:
Successful learning of behaviors in Reinforcement Learning (RL) are often learned tabula rasa, requiring many observations and interactions in the environment. Performing this outside of a simulator, in the real world, often becomes infeasible due to the large amount of interactions needed. This has motivated the use of Transfer Learning for Reinforcement Learning, where learning is accelerated by using experiences from previous learning in related tasks. In this thesis, I explore how we can transfer from a simple single-object pushing policy, to a wide array of non-prehensile rearrangement pr
APA, Harvard, Vancouver, ISO, and other styles
10

Mare, Angelique. "Motivators of learning and learning transfer in the workplace." Diss., University of Pretoria, 2015. http://hdl.handle.net/2263/52441.

Full text
Abstract:
Motivating employees to learn and transfer their learning to their jobs is an important activity to ensure that employees - and the organisation - continuously adapt, evolve and survive in this highly turbulent environment. The literature shows that both intrinsic and extrinsic motivators influence learning and learning transfer, and the extent of influence could be different for different people. This research sets out to explore and identify the intrinsic and extrinsic motivational factors that drive learning and learning transfer. A qualitative study in the form of focus groups was conduct
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Transfer of Learning"

1

Hohensee, Charles, and Joanne Lobato, eds. Transfer of Learning. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65632-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Hall, D. D. The transfer of learning. University of East Anglia, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Razavi-Far, Roozbeh, Boyu Wang, Matthew E. Taylor, and Qiang Yang, eds. Federated and Transfer Learning. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-11748-0.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Wang, Jindong. Introduction to transfer learning. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1109-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Wehby, North Mary, ed. Successful transfer of learning. Krieger Pub. Co., 2011.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Daffron, Sandra Ratcliff, and Sandra Ratcliff Daffron. Successful transfer of learning. Krieger Pub. Co., 2011.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Wang, Jindong, and Yiqiang Chen. Introduction to Transfer Learning. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7584-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Analoui, Farhad. Training and transfer of learning. Avebury, 1993.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Gass, Susan M., and Larry Selinker, eds. Language Transfer in Language Learning. John Benjamins Publishing Company, 1992. http://dx.doi.org/10.1075/lald.5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Taylor, Matthew E. Transfer in Reinforcement Learning Domains. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01882-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Transfer of Learning"

1

Sarang, Poornachandra. "Transfer Learning." In Artificial Neural Networks with TensorFlow 2. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6150-7_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Biermann, Henrik. "Transfer Learning." In Sportinformatik. Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-67026-2_23.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Biermann, Henrik. "Transfer Learning." In Computer Science in Sport. Springer Berlin Heidelberg, 2024. http://dx.doi.org/10.1007/978-3-662-68313-2_23.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Chin, Ting-Wu, and Cha Zhang. "Transfer Learning." In Computer Vision. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-03243-2_837-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Amaratunga, Thimira. "Transfer Learning." In Deep Learning on Windows. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6431-7_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Chin, Ting-Wu, and Cha Zhang. "Transfer Learning." In Computer Vision. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63416-2_837.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Bhasin, Harsh. "Transfer Learning." In Hands-on Deep Learning. Apress, 2024. https://doi.org/10.1007/979-8-8688-1035-0_8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Yakubu Alhassan, Alhassan, and Alexander Ruser. "Knowledge Transfer." In Handbook Transdisciplinary Learning. transcript Verlag, 2023. http://dx.doi.org/10.14361/9783839463475-023.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Rostami, Mohammad, Hangfeng He, Muhao Chen, and Dan Roth. "Transfer Learning via Representation Learning." In Federated and Transfer Learning. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11748-0_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Utgoff, Paul E., James Cussens, Stefan Kramer, et al. "Inductive Transfer." In Encyclopedia of Machine Learning. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_401.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Transfer of Learning"

1

Guo, Weiyan, Xinru Zhang, Haowen Pang, and Chuyang Ye. "Transfer learning for brain lesion segmentation via data transfer." In 2024 International Conference on Future of Medicine and Biological Information Engineering (MBIE 2024), edited by Yudong Yao, Xiaoou Li, and Xia Yu. SPIE, 2024. http://dx.doi.org/10.1117/12.3048419.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Arifuzzaman, Md, and Engin Arslan. "Learning Transfers via Transfer Learning." In 2021 IEEE Workshop on Innovating the Network for Data-Intensive Science (INDIS). IEEE, 2021. http://dx.doi.org/10.1109/indis54524.2021.00009.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Chen, Guanliang, Dan Davis, Claudia Hauff, and Geert-Jan Houben. "Learning Transfer." In L@S 2016: Third (2016) ACM Conference on Learning @ Scale. ACM, 2016. http://dx.doi.org/10.1145/2876034.2876035.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Muller, Brandon, Harith Al-Sahaf, Bing Xue, and Mengjie Zhang. "Transfer learning." In GECCO '19: Genetic and Evolutionary Computation Conference. ACM, 2019. http://dx.doi.org/10.1145/3319619.3322072.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Liu, Tongliang, Qiang Yang, and Dacheng Tao. "Understanding How Feature Structure Transfers in Transfer Learning." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/329.

Full text
Abstract:
Transfer learning transfers knowledge across domains to improve the learning performance. Since feature structures generally represent the common knowledge across different domains, they can be transferred successfully even though the labeling functions across domains differ arbitrarily. However, theoretical justification for this success has remained elusive. In this paper, motivated by self-taught learning, we regard a set of bases as a feature structure of a domain if the bases can (approximately) reconstruct any observation in this domain. We propose a general analysis scheme to theoretica
APA, Harvard, Vancouver, ISO, and other styles
6

Tetzlaff, Linda. "Transfer of learning." In the SIGCHI/GI conference. ACM Press, 1987. http://dx.doi.org/10.1145/29933.275631.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Zhuang, Fuzhen, Ping Luo, Changying Du, Qing He, and Zhongzhi Shi. "Triplex transfer learning." In the sixth ACM international conference. ACM Press, 2013. http://dx.doi.org/10.1145/2433396.2433449.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Zhu, Zhenfeng, Xingquan Zhu, Yangdong Ye, Yue-Fei Guo, and Xiangyang Xue. "Transfer active learning." In the 20th ACM international conference. ACM Press, 2011. http://dx.doi.org/10.1145/2063576.2063918.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Long, Mingsheng, Jianmin Wang, Guiguang Ding, Wei Cheng, Xiang Zhang, and Wei Wang. "Dual Transfer Learning." In Proceedings of the 2012 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, 2012. http://dx.doi.org/10.1137/1.9781611972825.47.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Cheng, Zhi-Qi, Xiao Wu, Siyu Huang, Jun-Xiu Li, Alexander G. Hauptmann, and Qiang Peng. "Learning to Transfer." In MM '18: ACM Multimedia Conference. ACM, 2018. http://dx.doi.org/10.1145/3240508.3240518.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Transfer of Learning"

1

Lozano-Perez, Tomas, and Leslie Kaelbling. Effective Bayesian Transfer Learning. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada516458.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Chen, Yan, Arnab Bhattacharya, Jing Li, and Draguna Vrabie. Optimal Control by Transfer-Learning. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1988297.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Kumar, Sharad. Localizing Little Landmarks with Transfer Learning. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.6703.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Klenk, Matthew, and Kenneth D. Forbus. Learning Domain Theories via Analogical Transfer. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada470404.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Cohen, Paul, and Carole Beal. LGIST: Learning Generalized Image Schemas for Transfer. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada491488.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Kong, Q., A. Price, and S. Myers. Preliminary Transfer Learning Results on Israel Data. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1860678.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Shu, Mengying. Deep learning for image classification on very small datasets using transfer learning. Iowa State University, 2019. http://dx.doi.org/10.31274/cc-20240624-493.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Gorski, Nicholas A., and John E. Laird. Investigating Transfer Learning in the Urban Combat Testbed. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada478847.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

V. Nguyen, Cuong, and Cuong D. Do. Transfer Learning in ECG Diagnosis: Is It Effective? ResearchHub Technologies, Inc., 2024. https://doi.org/10.55277/researchhub.0t7mc9m1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

V. Nguyen, Cuong, and Cuong D. Do. Transfer Learning in ECG Diagnosis: Is It Effective? ResearchHub Technologies, Inc., 2025. https://doi.org/10.55277/researchhub.0t7mc9m1.1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Transfer of Learning' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography