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Ku, IEEE Transactions on Knowledge and Data Engineering 30 (2018) 2013–2023.","apa":"Chen, W.-F., &#38; Ku, L.-W. (2018). We Like, We Post: A Joint User-Post Approach for Facebook Post Stance Labeling. <i>IEEE Transactions on Knowledge and Data Engineering</i>, <i>30</i>(10), 2013–2023.","ieee":"W.-F. Chen and L.-W. Ku, “We Like, We Post: A Joint User-Post Approach for Facebook Post Stance Labeling,” <i>IEEE Transactions on Knowledge and Data Engineering</i>, vol. 30, no. 10, pp. 2013–2023, 2018."},"type":"journal_article","department":[{"_id":"600"}],"date_created":"2019-11-11T12:36:42Z"},{"extern":"1","citation":{"bibtex":"@article{Chen_Chen_Ku_2018, title={Application of Sentiment Analysis to Language Learning}, volume={6}, journal={IEEE Access}, publisher={IEEE}, author={Chen, Mei-Hua and Chen, Wei-Fan and Ku, Lun-Wei}, year={2018}, pages={24433–24442} }","ama":"Chen M-H, Chen W-F, Ku L-W. 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Application of Sentiment Analysis to Language Learning. <i>IEEE Access</i>, <i>6</i>, 24433–24442."},"publication":"IEEE Access","department":[{"_id":"600"}],"type":"journal_article","date_created":"2019-11-11T12:37:30Z","intvolume":"         6","date_updated":"2022-01-06T06:52:09Z","author":[{"full_name":"Chen, Mei-Hua","last_name":"Chen","first_name":"Mei-Hua"},{"last_name":"Chen","first_name":"Wei-Fan","full_name":"Chen, Wei-Fan","id":"82920"},{"full_name":"Ku, Lun-Wei","last_name":"Ku","first_name":"Lun-Wei"}],"status":"public","title":"Application of Sentiment Analysis to Language Learning","year":"2018","volume":6,"user_id":"82920","publisher":"IEEE","_id":"14887","language":[{"iso":"eng"}],"page":"24433-24442","main_file_link":[{"url":"https://ieeexplore.ieee.org/iel7/6287639/8274985/08353227.pdf"}]},{"publication":"圖書館學與資訊科學","citation":{"mla":"Chen Wei-Fan, and Ku Lun-Wei. “中文情感語意分析套件 CSentiPackage 發展與應用.” 圖書館學與資訊科學, 國立台灣師範大學圖書資訊學研究所, 2018.","bibtex":"@article{Chen_Ku_2018, title={中文情感語意分析套件 CSentiPackage 發展與應用}, journal={圖書館學與資訊科學}, publisher={國立台灣師範大學圖書資訊學研究所}, author={Chen Wei-Fan and Ku Lun-Wei}, year={2018} }","ama":"Chen W-F, Ku L-W. 中文情感語意分析套件 CSentiPackage 發展與應用. 圖書館學與資訊科學. 2018.","ieee":"Chen W.-F. and Ku L.-W., “中文情感語意分析套件 CSentiPackage 發展與應用,” 圖書館學與資訊科學, 2018.","apa":"Chen W.-F., &#38; Ku L.-W. (2018). 中文情感語意分析套件 CSentiPackage 發展與應用. 圖書館學與資訊科學.","short":"Chen W.-F., Ku L.-W., 圖書館學與資訊科學 (2018).","chicago":"Chen Wei-Fan, and Ku Lun-Wei. “中文情感語意分析套件 CSentiPackage 發展與應用.” 圖書館學與資訊科學, 2018."},"date_created":"2019-11-11T12:46:18Z","type":"journal_article","department":[{"_id":"600"}],"year":"2018","title":"中文情感語意分析套件 CSentiPackage 發展與應用","status":"public","author":[{"id":"82920","full_name":"Chen, Wei-Fan","first_name":"Wei-Fan","last_name":"Chen"},{"last_name":"Ku","first_name":"Lun-Wei","full_name":"Ku, Lun-Wei"}],"date_updated":"2022-01-06T06:52:09Z","main_file_link":[{"url":"http://rportal.lib.ntnu.edu.tw/bitstream/20.500.12235/80604/1/ntnulib_ja_A1021_4401_024.pdf"}],"_id":"14888","publisher":"國立台灣師範大學圖書資訊學研究所","language":[{"iso":"chi"}],"user_id":"82920"},{"publication_status":"published","date_updated":"2022-01-06T06:52:15Z","publication_identifier":{"isbn":["9781538650356"]},"author":[{"id":"624","full_name":"Böttcher, Stefan","first_name":"Stefan","last_name":"Böttcher"},{"first_name":"Rita","last_name":"Hartel","full_name":"Hartel, Rita","id":"14961"}],"title":"RECUT: RE-Compressing partially Unordered Trees","status":"public","year":"2018","user_id":"14961","doi":"10.1109/bigdata.2018.8622261","_id":"15081","language":[{"iso":"eng"}],"page":"3996-4005","citation":{"chicago":"Böttcher, Stefan, and Rita Hartel. “RECUT: RE-Compressing Partially Unordered Trees.” In <i>2018 IEEE International Conference on Big Data (Big Data)</i>, 3996–4005, 2018. <a href=\"https://doi.org/10.1109/bigdata.2018.8622261\">https://doi.org/10.1109/bigdata.2018.8622261</a>.","short":"S. 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In: <i>2018 IEEE International Conference on Big Data (Big Data)</i>. ; 2018:3996-4005. doi:<a href=\"https://doi.org/10.1109/bigdata.2018.8622261\">10.1109/bigdata.2018.8622261</a>","bibtex":"@inproceedings{Böttcher_Hartel_2018, title={RECUT: RE-Compressing partially Unordered Trees}, DOI={<a href=\"https://doi.org/10.1109/bigdata.2018.8622261\">10.1109/bigdata.2018.8622261</a>}, booktitle={2018 IEEE International Conference on Big Data (Big Data)}, author={Böttcher, Stefan and Hartel, Rita}, year={2018}, pages={3996–4005} }","mla":"Böttcher, Stefan, and Rita Hartel. “RECUT: RE-Compressing Partially Unordered Trees.” <i>2018 IEEE International Conference on Big Data (Big Data)</i>, 2018, pp. 3996–4005, doi:<a href=\"https://doi.org/10.1109/bigdata.2018.8622261\">10.1109/bigdata.2018.8622261</a>."},"publication":"2018 IEEE International Conference on Big Data (Big Data)","department":[{"_id":"69"}],"type":"conference","date_created":"2019-11-21T14:43:27Z"},{"date_updated":"2022-01-06T06:52:15Z","author":[{"full_name":"Dunst, Alexander","last_name":"Dunst","first_name":"Alexander"},{"first_name":"Rita","last_name":"Hartel","full_name":"Hartel, Rita","id":"14961"}],"title":"Automated Genre and Author Distinction in Comics: Towards a Stylometry for Visual Narrative","status":"public","year":"2018","user_id":"14961","publisher":"Red de Humanidades Digitales AC","_id":"15082","language":[{"iso":"eng"}],"page":"184-187","citation":{"bibtex":"@inproceedings{Dunst_Hartel_2018, title={Automated Genre and Author Distinction in Comics: Towards a Stylometry for Visual Narrative}, booktitle={Digital Humanities 2018: Book of Abstracts/Libro de resúmenes}, publisher={Red de Humanidades Digitales AC}, author={Dunst, Alexander and Hartel, Rita}, year={2018}, pages={184–187} }","ama":"Dunst A, Hartel R. Automated Genre and Author Distinction in Comics: Towards a Stylometry for Visual Narrative. In: <i>Digital Humanities 2018: Book of Abstracts/Libro de Resúmenes</i>. Red de Humanidades Digitales AC; 2018:184-187.","mla":"Dunst, Alexander, and Rita Hartel. “Automated Genre and Author Distinction in Comics: Towards a Stylometry for Visual Narrative.” <i>Digital Humanities 2018: Book of Abstracts/Libro de Resúmenes</i>, Red de Humanidades Digitales AC, 2018, pp. 184–87.","chicago":"Dunst, Alexander, and Rita Hartel. “Automated Genre and Author Distinction in Comics: Towards a Stylometry for Visual Narrative.” In <i>Digital Humanities 2018: Book of Abstracts/Libro de Resúmenes</i>, 184–87. Red de Humanidades Digitales AC, 2018.","short":"A. Dunst, R. Hartel, in: Digital Humanities 2018: Book of Abstracts/Libro de Resúmenes, Red de Humanidades Digitales AC, 2018, pp. 184–187.","ieee":"A. Dunst and R. Hartel, “Automated Genre and Author Distinction in Comics: Towards a Stylometry for Visual Narrative,” in <i>Digital Humanities 2018: Book of Abstracts/Libro de resúmenes</i>, 2018, pp. 184–187.","apa":"Dunst, A., &#38; Hartel, R. (2018). Automated Genre and Author Distinction in Comics: Towards a Stylometry for Visual Narrative. In <i>Digital Humanities 2018: Book of Abstracts/Libro de resúmenes</i> (pp. 184–187). Red de Humanidades Digitales AC."},"publication":"Digital Humanities 2018: Book of Abstracts/Libro de resúmenes","department":[{"_id":"69"}],"type":"conference","date_created":"2019-11-21T14:44:49Z"},{"date_updated":"2022-01-06T06:52:16Z","status":"public","title":"The quantitative analysis of comics: Towards a visual stylometry of graphic narrative","year":"2018","author":[{"full_name":"Dunst, Alexander","first_name":"Alexander","last_name":"Dunst"},{"last_name":"Hartel","first_name":"Rita","full_name":"Hartel, Rita","id":"14961"}],"user_id":"14961","editor":[{"full_name":"Dunst, Alexander","first_name":"Alexander","last_name":"Dunst"},{"full_name":"Laubrock, Jochen","first_name":"Jochen","last_name":"Laubrock"},{"full_name":"Wildfeuer, Janina","first_name":"Janina","last_name":"Wildfeuer"}],"page":"43-61","_id":"15160","publisher":"Routledge","language":[{"iso":"eng"}],"publication":"Empirical Comics Research: Digital, Multimodal, and Cognitive Methods","citation":{"apa":"Dunst, A., &#38; Hartel, R. (2018). The quantitative analysis of comics: Towards a visual stylometry of graphic narrative. In A. Dunst, J. Laubrock, &#38; J. Wildfeuer (Eds.), <i>Empirical Comics Research: Digital, Multimodal, and Cognitive Methods</i> (pp. 43–61). Routledge.","ieee":"A. Dunst and R. Hartel, “The quantitative analysis of comics: Towards a visual stylometry of graphic narrative,” in <i>Empirical Comics Research: Digital, Multimodal, and Cognitive Methods</i>, A. Dunst, J. Laubrock, and J. Wildfeuer, Eds. Routledge, 2018, pp. 43–61.","chicago":"Dunst, Alexander, and Rita Hartel. “The Quantitative Analysis of Comics: Towards a Visual Stylometry of Graphic Narrative.” In <i>Empirical Comics Research: Digital, Multimodal, and Cognitive Methods</i>, edited by Alexander Dunst, Jochen Laubrock, and Janina Wildfeuer, 43–61. Routledge, 2018.","short":"A. Dunst, R. Hartel, in: A. Dunst, J. Laubrock, J. Wildfeuer (Eds.), Empirical Comics Research: Digital, Multimodal, and Cognitive Methods, Routledge, 2018, pp. 43–61.","mla":"Dunst, Alexander, and Rita Hartel. “The Quantitative Analysis of Comics: Towards a Visual Stylometry of Graphic Narrative.” <i>Empirical Comics Research: Digital, Multimodal, and Cognitive Methods</i>, edited by Alexander Dunst et al., Routledge, 2018, pp. 43–61.","ama":"Dunst A, Hartel R. The quantitative analysis of comics: Towards a visual stylometry of graphic narrative. In: Dunst A, Laubrock J, Wildfeuer J, eds. <i>Empirical Comics Research: Digital, Multimodal, and Cognitive Methods</i>. Routledge; 2018:43-61.","bibtex":"@inbook{Dunst_Hartel_2018, title={The quantitative analysis of comics: Towards a visual stylometry of graphic narrative}, booktitle={Empirical Comics Research: Digital, Multimodal, and Cognitive Methods}, publisher={Routledge}, author={Dunst, Alexander and Hartel, Rita}, editor={Dunst, Alexander and Laubrock, Jochen and Wildfeuer, JaninaEditors}, year={2018}, pages={43–61} }"},"type":"book_chapter","department":[{"_id":"69"}],"date_created":"2019-11-22T10:12:54Z"},{"date_created":"2019-11-26T09:25:44Z","department":[{"_id":"69"}],"type":"conference_abstract","citation":{"apa":"Dunst, A., &#38; Hartel, R. (2018). Auf dem Weg zur Visuellen Stilometrie:Automatische Genre- und Autorunterscheidung in graphischen Narrativen. In <i>DHd Konferenz 2018, Kritik der digitalen Vernunft, DHd 2018</i>.","ieee":"A. Dunst and R. Hartel, “Auf dem Weg zur Visuellen Stilometrie:Automatische Genre- und Autorunterscheidung in graphischen Narrativen,” in <i>DHd Konferenz 2018, Kritik der digitalen Vernunft, DHd 2018</i>, 2018.","short":"A. Dunst, R. Hartel, in: DHd Konferenz 2018, Kritik Der Digitalen Vernunft, DHd 2018, 2018.","chicago":"Dunst, Alexander, and Rita Hartel. “Auf Dem Weg Zur Visuellen Stilometrie:Automatische Genre- Und Autorunterscheidung in Graphischen Narrativen.” In <i>DHd Konferenz 2018, Kritik Der Digitalen Vernunft, DHd 2018</i>, 2018.","mla":"Dunst, Alexander, and Rita Hartel. “Auf Dem Weg Zur Visuellen Stilometrie:Automatische Genre- Und Autorunterscheidung in Graphischen Narrativen.” <i>DHd Konferenz 2018, Kritik Der Digitalen Vernunft, DHd 2018</i>, 2018.","ama":"Dunst A, Hartel R. Auf dem Weg zur Visuellen Stilometrie:Automatische Genre- und Autorunterscheidung in graphischen Narrativen. In: <i>DHd Konferenz 2018, Kritik Der Digitalen Vernunft, DHd 2018</i>. ; 2018.","bibtex":"@inproceedings{Dunst_Hartel_2018, title={Auf dem Weg zur Visuellen Stilometrie:Automatische Genre- und Autorunterscheidung in graphischen Narrativen}, booktitle={DHd Konferenz 2018, Kritik der digitalen Vernunft, DHd 2018}, author={Dunst, Alexander and Hartel, Rita}, year={2018} }"},"publication":"DHd Konferenz 2018, Kritik der digitalen Vernunft, DHd 2018","language":[{"iso":"eng"}],"_id":"15183","user_id":"14961","author":[{"full_name":"Dunst, Alexander","last_name":"Dunst","first_name":"Alexander"},{"last_name":"Hartel","first_name":"Rita","full_name":"Hartel, Rita","id":"14961"}],"status":"public","year":"2018","title":"Auf dem Weg zur Visuellen Stilometrie:Automatische Genre- und Autorunterscheidung in graphischen Narrativen","date_updated":"2022-01-06T06:52:16Z"},{"author":[{"full_name":"Schäfer, D.","last_name":"Schäfer","first_name":"D."},{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","last_name":"Hüllermeier","id":"48129"}],"status":"public","title":"Dyad ranking using Plackett-Luce models based on joint feature representations","year":"2018","intvolume":"       107","date_updated":"2022-01-06T06:52:42Z","language":[{"iso":"eng"}],"_id":"16038","page":"903-941","volume":107,"user_id":"49109","citation":{"short":"D. Schäfer, E. Hüllermeier, Machine Learning 107 (2018) 903–941.","chicago":"Schäfer, D., and Eyke Hüllermeier. “Dyad Ranking Using Plackett-Luce Models Based on Joint Feature Representations.” <i>Machine Learning</i> 107, no. 5 (2018): 903–41.","apa":"Schäfer, D., &#38; Hüllermeier, E. (2018). Dyad ranking using Plackett-Luce models based on joint feature representations. <i>Machine Learning</i>, <i>107</i>(5), 903–941.","ieee":"D. Schäfer and E. Hüllermeier, “Dyad ranking using Plackett-Luce models based on joint feature representations,” <i>Machine Learning</i>, vol. 107, no. 5, pp. 903–941, 2018.","ama":"Schäfer D, Hüllermeier E. Dyad ranking using Plackett-Luce models based on joint feature representations. <i>Machine Learning</i>. 2018;107(5):903-941.","bibtex":"@article{Schäfer_Hüllermeier_2018, title={Dyad ranking using Plackett-Luce models based on joint feature representations}, volume={107}, number={5}, journal={Machine Learning}, author={Schäfer, D. and Hüllermeier, Eyke}, year={2018}, pages={903–941} }","mla":"Schäfer, D., and Eyke Hüllermeier. “Dyad Ranking Using Plackett-Luce Models Based on Joint Feature Representations.” <i>Machine Learning</i>, vol. 107, no. 5, 2018, pp. 903–41."},"issue":"5","publication":"Machine Learning","date_created":"2020-02-24T15:59:19Z","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"},{"_id":"26"}],"type":"journal_article"},{"publication":"arXiv:1801.06419","citation":{"bibtex":"@article{Peitz_2018, title={Controlling nonlinear PDEs using low-dimensional bilinear approximations  obtained from data}, journal={arXiv:1801.06419}, author={Peitz, Sebastian}, year={2018} }","ama":"Peitz S. Controlling nonlinear PDEs using low-dimensional bilinear approximations  obtained from data. <i>arXiv:180106419</i>. 2018.","mla":"Peitz, Sebastian. “Controlling Nonlinear PDEs Using Low-Dimensional Bilinear Approximations  Obtained from Data.” <i>ArXiv:1801.06419</i>, 2018.","short":"S. Peitz, ArXiv:1801.06419 (2018).","chicago":"Peitz, Sebastian. “Controlling Nonlinear PDEs Using Low-Dimensional Bilinear Approximations  Obtained from Data.” <i>ArXiv:1801.06419</i>, 2018.","ieee":"S. Peitz, “Controlling nonlinear PDEs using low-dimensional bilinear approximations  obtained from data,” <i>arXiv:1801.06419</i>. 2018.","apa":"Peitz, S. (2018). Controlling nonlinear PDEs using low-dimensional bilinear approximations  obtained from data. <i>ArXiv:1801.06419</i>."},"abstract":[{"lang":"eng","text":"In a recent article, we presented a framework to control nonlinear partial\r\ndifferential equations (PDEs) by means of Koopman operator based reduced models\r\nand concepts from switched systems. The main idea was to transform a control\r\nsystem into a set of autonomous systems for which the optimal switching\r\nsequence has to be computed. These individual systems can be approximated very\r\nefficiently by reduced order models obtained from data, and one can guarantee\r\nequality of the full and the reduced objective function under certain\r\nassumptions. In this article, we extend these results to continuous control\r\ninputs using convex combinations of multiple Koopman operators corresponding to\r\nconstant controls, which results in a bilinear control system. Although\r\nequality of the objectives can be carried over when the PDE depends linearly on\r\nthe control, we show that this approach is also valid in other scenarios using\r\nseveral flow control examples of varying complexity."}],"date_created":"2020-03-13T12:43:14Z","type":"preprint","department":[{"_id":"101"}],"oa":"1","title":"Controlling nonlinear PDEs using low-dimensional bilinear approximations  obtained from data","status":"public","year":"2018","author":[{"orcid":"https://orcid.org/0000-0002-3389-793X","last_name":"Peitz","first_name":"Sebastian","full_name":"Peitz, Sebastian","id":"47427"}],"date_updated":"2022-01-06T06:52:48Z","main_file_link":[{"url":"https://arxiv.org/pdf/1801.06419.pdf","open_access":"1"}],"language":[{"iso":"eng"}],"_id":"16292","user_id":"47427"},{"date_created":"2020-03-13T12:44:12Z","department":[{"_id":"101"}],"oa":"1","type":"preprint","citation":{"chicago":"Klus, Stefan, Sebastian Peitz, and Ingmar Schuster. “Analyzing High-Dimensional Time-Series Data Using Kernel Transfer  Operator Eigenfunctions.” <i>ArXiv:1805.10118</i>, 2018.","short":"S. Klus, S. Peitz, I. Schuster, ArXiv:1805.10118 (2018).","ieee":"S. Klus, S. Peitz, and I. Schuster, “Analyzing high-dimensional time-series data using kernel transfer  operator eigenfunctions,” <i>arXiv:1805.10118</i>. 2018.","apa":"Klus, S., Peitz, S., &#38; Schuster, I. (2018). Analyzing high-dimensional time-series data using kernel transfer  operator eigenfunctions. <i>ArXiv:1805.10118</i>.","bibtex":"@article{Klus_Peitz_Schuster_2018, title={Analyzing high-dimensional time-series data using kernel transfer  operator eigenfunctions}, journal={arXiv:1805.10118}, author={Klus, Stefan and Peitz, Sebastian and Schuster, Ingmar}, year={2018} }","ama":"Klus S, Peitz S, Schuster I. Analyzing high-dimensional time-series data using kernel transfer  operator eigenfunctions. <i>arXiv:180510118</i>. 2018.","mla":"Klus, Stefan, et al. “Analyzing High-Dimensional Time-Series Data Using Kernel Transfer  Operator Eigenfunctions.” <i>ArXiv:1805.10118</i>, 2018."},"publication":"arXiv:1805.10118","project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"abstract":[{"lang":"eng","text":"Kernel transfer operators, which can be regarded as approximations of\r\ntransfer operators such as the Perron-Frobenius or Koopman operator in\r\nreproducing kernel Hilbert spaces, are defined in terms of covariance and\r\ncross-covariance operators and have been shown to be closely related to the\r\nconditional mean embedding framework developed by the machine learning\r\ncommunity. The goal of this paper is to show how the dominant eigenfunctions of\r\nthese operators in combination with gradient-based optimization techniques can\r\nbe used to detect long-lived coherent patterns in high-dimensional time-series\r\ndata. The results will be illustrated using video data and a fluid flow\r\nexample."}],"_id":"16293","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://arxiv.org/pdf/1805.10118.pdf"}],"user_id":"47427","author":[{"full_name":"Klus, Stefan","first_name":"Stefan","last_name":"Klus"},{"full_name":"Peitz, Sebastian","first_name":"Sebastian","last_name":"Peitz","orcid":"https://orcid.org/0000-0002-3389-793X","id":"47427"},{"first_name":"Ingmar","last_name":"Schuster","full_name":"Schuster, Ingmar"}],"status":"public","year":"2018","title":"Analyzing high-dimensional time-series data using kernel transfer  operator eigenfunctions","date_updated":"2022-01-06T06:52:48Z"},{"publication":"Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications","citation":{"short":"B. Feldkord, M. Malatyali, F. Meyer auf der Heide, in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Cham, 2018.","chicago":"Feldkord, Björn, Manuel Malatyali, and Friedhelm Meyer auf der Heide. “A Dynamic Distributed Data Structure for Top-k and k-Select Queries.” In <i>Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications</i>. Cham, 2018. <a href=\"https://doi.org/10.1007/978-3-319-98355-4_18\">https://doi.org/10.1007/978-3-319-98355-4_18</a>.","ieee":"B. Feldkord, M. Malatyali, and F. Meyer auf der Heide, “A Dynamic Distributed Data Structure for Top-k and k-Select Queries,” in <i>Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications</i>, Cham, 2018.","apa":"Feldkord, B., Malatyali, M., &#38; Meyer auf der Heide, F. (2018). A Dynamic Distributed Data Structure for Top-k and k-Select Queries. In <i>Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications</i>. Cham. <a href=\"https://doi.org/10.1007/978-3-319-98355-4_18\">https://doi.org/10.1007/978-3-319-98355-4_18</a>","bibtex":"@inbook{Feldkord_Malatyali_Meyer auf der Heide_2018, place={Cham}, title={A Dynamic Distributed Data Structure for Top-k and k-Select Queries}, DOI={<a href=\"https://doi.org/10.1007/978-3-319-98355-4_18\">10.1007/978-3-319-98355-4_18</a>}, booktitle={Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications}, author={Feldkord, Björn and Malatyali, Manuel and Meyer auf der Heide, Friedhelm}, year={2018} }","ama":"Feldkord B, Malatyali M, Meyer auf der Heide F. A Dynamic Distributed Data Structure for Top-k and k-Select Queries. In: <i>Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications</i>. 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P., Albert, M., Weber, N., Sievers, D., Förstner, J., Zentgraf, T., &#38; Meier, C. (2018). Tailored UV Emission by Nonlinear IR Excitation from ZnO Photonic Crystal Nanocavities. <i>ACS Photonics</i>, <i>5</i>, 1933–1942. <a href=\"https://doi.org/10.1021/acsphotonics.7b01228\">https://doi.org/10.1021/acsphotonics.7b01228</a>","ieee":"S. P. Hoffmann <i>et al.</i>, “Tailored UV Emission by Nonlinear IR Excitation from ZnO Photonic Crystal Nanocavities,” <i>ACS Photonics</i>, vol. 5, pp. 1933–1942, 2018.","chicago":"Hoffmann, Sandro P., Maximilian Albert, Nils Weber, Denis Sievers, Jens Förstner, Thomas Zentgraf, and Cedrik Meier. “Tailored UV Emission by Nonlinear IR Excitation from ZnO Photonic Crystal Nanocavities.” <i>ACS Photonics</i> 5 (2018): 1933–42. <a href=\"https://doi.org/10.1021/acsphotonics.7b01228\">https://doi.org/10.1021/acsphotonics.7b01228</a>.","short":"S.P. Hoffmann, M. Albert, N. Weber, D. Sievers, J. Förstner, T. Zentgraf, C. 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