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Diagnose im Kontext - eine erweiterte Perspektive. <i>Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen (ZEFQ)</i>. 2013;107:585-591.","bibtex":"@article{Haasenritter_Viniol_Becker_Bösner_Hüllermeier_Senge_Donner-Banzhoff_2013, title={Diagnose im Kontext - eine erweiterte Perspektive}, volume={107}, journal={Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen (ZEFQ)}, author={Haasenritter, J. and Viniol, A. and Becker, A. and Bösner, S. and Hüllermeier, Eyke and Senge, Robin and Donner-Banzhoff, N.}, year={2013}, pages={585–591} }","apa":"Haasenritter, J., Viniol, A., Becker, A., Bösner, S., Hüllermeier, E., Senge, R., &#38; Donner-Banzhoff, N. (2013). Diagnose im Kontext - eine erweiterte Perspektive. <i>Zeitschrift Für Evidenz, Fortbildung Und Qualität Im Gesundheitswesen (ZEFQ)</i>, <i>107</i>, 585–591.","ieee":"J. Haasenritter <i>et al.</i>, “Diagnose im Kontext - eine erweiterte Perspektive,” <i>Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen (ZEFQ)</i>, vol. 107, pp. 585–591, 2013.","chicago":"Haasenritter, J., A. Viniol, A. Becker, S. Bösner, Eyke Hüllermeier, Robin Senge, and N. Donner-Banzhoff. “Diagnose Im Kontext - Eine Erweiterte Perspektive.” <i>Zeitschrift Für Evidenz, Fortbildung Und Qualität Im Gesundheitswesen (ZEFQ)</i> 107 (2013): 585–91.","short":"J. Haasenritter, A. Viniol, A. Becker, S. Bösner, E. Hüllermeier, R. Senge, N. Donner-Banzhoff, Zeitschrift Für Evidenz, Fortbildung Und Qualität Im Gesundheitswesen (ZEFQ) 107 (2013) 585–591."},"date_created":"2020-02-25T16:21:22Z","type":"journal_article","department":[{"_id":"34"},{"_id":"355"}]},{"year":"2013","title":"Evolving fuzzy pattern trees for binary classification on data streams","status":"public","author":[{"first_name":"A.","last_name":"Shaker","full_name":"Shaker, A."},{"full_name":"Senge, R.","last_name":"Senge","first_name":"R."},{"id":"48129","full_name":"Hüllermeier, Eyke","first_name":"Eyke","last_name":"Hüllermeier"}],"date_updated":"2022-01-06T06:52:43Z","intvolume":"       220","page":"34-45","language":[{"iso":"eng"}],"_id":"16123","user_id":"49109","volume":220,"publication":"Information Sciences","citation":{"mla":"Shaker, A., et al. “Evolving Fuzzy Pattern Trees for Binary Classification on Data Streams.” <i>Information Sciences</i>, vol. 220, 2013, pp. 34–45.","ama":"Shaker A, Senge R, Hüllermeier E. Evolving fuzzy pattern trees for binary classification on data streams. <i>Information Sciences</i>. 2013;220:34-45.","bibtex":"@article{Shaker_Senge_Hüllermeier_2013, title={Evolving fuzzy pattern trees for binary classification on data streams}, volume={220}, journal={Information Sciences}, author={Shaker, A. and Senge, R. and Hüllermeier, Eyke}, year={2013}, pages={34–45} }","apa":"Shaker, A., Senge, R., &#38; Hüllermeier, E. (2013). Evolving fuzzy pattern trees for binary classification on data streams. <i>Information Sciences</i>, <i>220</i>, 34–45.","ieee":"A. Shaker, R. Senge, and E. Hüllermeier, “Evolving fuzzy pattern trees for binary classification on data streams,” <i>Information Sciences</i>, vol. 220, pp. 34–45, 2013.","chicago":"Shaker, A., R. Senge, and Eyke Hüllermeier. “Evolving Fuzzy Pattern Trees for Binary Classification on Data Streams.” <i>Information Sciences</i> 220 (2013): 34–45.","short":"A. Shaker, R. Senge, E. Hüllermeier, Information Sciences 220 (2013) 34–45."},"date_created":"2020-02-27T15:06:35Z","type":"journal_article","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}]},{"language":[{"iso":"eng"}],"series_title":"Proceedings of the 24th Eurographics Symposium on Rendering","doi":"10.1111/cgf.12150","publication_identifier":{"issn":["0167-7055"]},"author":[{"full_name":"Eikel, Benjamin","last_name":"Eikel","first_name":"Benjamin"},{"full_name":"Jähn, Claudius","first_name":"Claudius","last_name":"Jähn"},{"last_name":"Fischer","first_name":"Matthias","full_name":"Fischer, Matthias","id":"146"},{"id":"15523","last_name":"Meyer auf der Heide","first_name":"Friedhelm","full_name":"Meyer auf der Heide, Friedhelm"}],"year":"2013","title":"Spherical Visibility Sampling","intvolume":"        32","publication_status":"published","date_updated":"2022-01-06T06:52:50Z","date_created":"2020-04-03T07:48:48Z","department":[{"_id":"63"}],"type":"conference","issue":"4","publication":"Computer Graphics Forum","abstract":[{"lang":"eng","text":"Many 3D scenes (e.g. generated from CAD data) are composed of a multitude of objects that are nested in each other. A showroom, for instance, may contain multiple cars and every car has a gearbox with many gearwheels located inside. Because the objects occlude each other, only few are visible from outside. We present a new technique, Spherical Visibility Sampling (SVS), for real-time 3D rendering of such -- possibly highly complex -- scenes. SVS exploits the occlusion and annotates hierarchically structured objects with directional visibility information in a preprocessing step. For different directions, the directional visibility encodes which objects of a scene's region are visible from the outside of the regions' enclosing bounding sphere. Since there is no need to store a separate view space subdivision as in most techniques based on preprocessed visibility, a small memory footprint is achieved. Using the directional visibility information for an interactive walkthrough, the potentially visible objects can be retrieved very efficiently without the need for further visibility tests. Our evaluation shows that using SVS allows to preprocess complex 3D scenes fast and to visualize them in real time (e.g. a Power Plant model and five animated Boeing 777 models with billions of triangles). Because SVS does not require hardware support for occlusion culling during rendering, it is even applicable for rendering large scenes on mobile devices."}],"_id":"16393","page":"49-58","volume":32,"user_id":"15415","status":"public","citation":{"mla":"Eikel, Benjamin, et al. “Spherical Visibility Sampling.” <i>Computer Graphics Forum</i>, vol. 32, no. 4, 2013, pp. 49–58, doi:<a href=\"https://doi.org/10.1111/cgf.12150\">10.1111/cgf.12150</a>.","apa":"Eikel, B., Jähn, C., Fischer, M., &#38; Meyer auf der Heide, F. (2013). Spherical Visibility Sampling. In <i>Computer Graphics Forum</i> (Vol. 32, pp. 49–58). <a href=\"https://doi.org/10.1111/cgf.12150\">https://doi.org/10.1111/cgf.12150</a>","ieee":"B. Eikel, C. Jähn, M. Fischer, and F. Meyer auf der Heide, “Spherical Visibility Sampling,” in <i>Computer Graphics Forum</i>, 2013, vol. 32, no. 4, pp. 49–58.","chicago":"Eikel, Benjamin, Claudius Jähn, Matthias Fischer, and Friedhelm Meyer auf der Heide. “Spherical Visibility Sampling.” In <i>Computer Graphics Forum</i>, 32:49–58. Proceedings of the 24th Eurographics Symposium on Rendering, 2013. <a href=\"https://doi.org/10.1111/cgf.12150\">https://doi.org/10.1111/cgf.12150</a>.","ama":"Eikel B, Jähn C, Fischer M, Meyer auf der Heide F. Spherical Visibility Sampling. In: <i>Computer Graphics Forum</i>. Vol 32. Proceedings of the 24th Eurographics Symposium on Rendering. ; 2013:49-58. doi:<a href=\"https://doi.org/10.1111/cgf.12150\">10.1111/cgf.12150</a>","short":"B. Eikel, C. Jähn, M. Fischer, F. Meyer auf der Heide, in: Computer Graphics Forum, 2013, pp. 49–58.","bibtex":"@inproceedings{Eikel_Jähn_Fischer_Meyer auf der Heide_2013, series={Proceedings of the 24th Eurographics Symposium on Rendering}, title={Spherical Visibility Sampling}, volume={32}, DOI={<a href=\"https://doi.org/10.1111/cgf.12150\">10.1111/cgf.12150</a>}, number={4}, booktitle={Computer Graphics Forum}, author={Eikel, Benjamin and Jähn, Claudius and Fischer, Matthias and Meyer auf der Heide, Friedhelm}, year={2013}, pages={49–58}, collection={Proceedings of the 24th Eurographics Symposium on Rendering} }"}},{"department":[{"_id":"63"}],"type":"book_chapter","place":"Berlin, Heidelberg","date_created":"2020-04-06T07:21:55Z","abstract":[{"text":"In order to evaluate the efficiency of algorithms for real-time 3D rendering, different properties like rendering time, occluded triangles, or image quality, need to be investigated. Since these properties depend on the position of the camera, usually some camera path is chosen, along which the measurements are performed. As those measurements cover only a small part of the scene, this approach hardly allows drawing conclusions regarding the algorithm's properties at arbitrary positions in the scene. The presented method allows the systematic and position-independent evaluation of rendering algorithms. It uses an adaptive sampling approach to approximate the distribution of a property (like rendering time) for all positions in the scene. This approximation can be visualized to produce an intuitive impression of the algorithm's behavior or be statistically analyzed for objectively rating and comparing algorithms. We demonstrate our method by evaluating performance aspects of a known occlusion culling algorithm.\r\n","lang":"eng"}],"citation":{"ama":"Jähn C, Eikel B, Fischer M, Petring R, Meyer auf der Heide F. Evaluation of Rendering Algorithms Using Position-Dependent Scene Properties. In: <i>Advances in Visual Computing</i>. Berlin, Heidelberg; 2013. doi:<a href=\"https://doi.org/10.1007/978-3-642-41914-0_12\">10.1007/978-3-642-41914-0_12</a>","bibtex":"@inbook{Jähn_Eikel_Fischer_Petring_Meyer auf der Heide_2013, place={Berlin, Heidelberg}, title={Evaluation of Rendering Algorithms Using Position-Dependent Scene Properties}, DOI={<a href=\"https://doi.org/10.1007/978-3-642-41914-0_12\">10.1007/978-3-642-41914-0_12</a>}, booktitle={Advances in Visual Computing}, author={Jähn, Claudius and Eikel, Benjamin and Fischer, Matthias and Petring, Ralf and Meyer auf der Heide, Friedhelm}, year={2013} }","mla":"Jähn, Claudius, et al. “Evaluation of Rendering Algorithms Using Position-Dependent Scene Properties.” <i>Advances in Visual Computing</i>, 2013, doi:<a href=\"https://doi.org/10.1007/978-3-642-41914-0_12\">10.1007/978-3-642-41914-0_12</a>.","chicago":"Jähn, Claudius, Benjamin Eikel, Matthias Fischer, Ralf Petring, and Friedhelm Meyer auf der Heide. “Evaluation of Rendering Algorithms Using Position-Dependent Scene Properties.” In <i>Advances in Visual Computing</i>. Berlin, Heidelberg, 2013. <a href=\"https://doi.org/10.1007/978-3-642-41914-0_12\">https://doi.org/10.1007/978-3-642-41914-0_12</a>.","short":"C. Jähn, B. Eikel, M. Fischer, R. Petring, F. Meyer auf der Heide, in: Advances in Visual Computing, Berlin, Heidelberg, 2013.","apa":"Jähn, C., Eikel, B., Fischer, M., Petring, R., &#38; Meyer auf der Heide, F. (2013). Evaluation of Rendering Algorithms Using Position-Dependent Scene Properties. In <i>Advances in Visual Computing</i>. Berlin, Heidelberg. <a href=\"https://doi.org/10.1007/978-3-642-41914-0_12\">https://doi.org/10.1007/978-3-642-41914-0_12</a>","ieee":"C. Jähn, B. Eikel, M. Fischer, R. Petring, and F. Meyer auf der Heide, “Evaluation of Rendering Algorithms Using Position-Dependent Scene Properties,” in <i>Advances in Visual Computing</i>, Berlin, Heidelberg, 2013."},"publication":"Advances in Visual Computing","doi":"10.1007/978-3-642-41914-0_12","user_id":"15415","_id":"16406","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:52:50Z","publication_status":"published","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783642419133","9783642419140"]},"author":[{"full_name":"Jähn, Claudius","first_name":"Claudius","last_name":"Jähn"},{"full_name":"Eikel, Benjamin","first_name":"Benjamin","last_name":"Eikel"},{"full_name":"Fischer, Matthias","last_name":"Fischer","first_name":"Matthias","id":"146"},{"full_name":"Petring, Ralf","first_name":"Ralf","last_name":"Petring"},{"first_name":"Friedhelm","last_name":"Meyer auf der Heide","full_name":"Meyer auf der Heide, Friedhelm","id":"15523"}],"year":"2013","status":"public","title":"Evaluation of Rendering Algorithms Using Position-Dependent Scene Properties"},{"user_id":"15415","doi":"10.1007/978-3-642-41914-0_44","language":[{"iso":"eng"}],"_id":"16407","publication_status":"published","date_updated":"2022-01-06T06:52:50Z","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783642419133","9783642419140"]},"author":[{"last_name":"Petring","first_name":"Ralf","full_name":"Petring, Ralf"},{"last_name":"Eikel","first_name":"Benjamin","full_name":"Eikel, Benjamin"},{"full_name":"Jähn, Claudius","last_name":"Jähn","first_name":"Claudius"},{"id":"146","last_name":"Fischer","first_name":"Matthias","full_name":"Fischer, Matthias"},{"first_name":"Friedhelm","last_name":"Meyer auf der Heide","full_name":"Meyer auf der Heide, Friedhelm","id":"15523"}],"status":"public","title":"Real-Time 3D Rendering of Heterogeneous Scenes","year":"2013","department":[{"_id":"63"}],"type":"book_chapter","date_created":"2020-04-06T07:38:52Z","place":"Berlin, Heidelberg","abstract":[{"text":"Many virtual 3D scenes, especially those that are large, are not structured evenly. For such heterogeneous data, there is no single algorithm that is able to render every scene type at each position fast and with the same high image quality. For a small set of scenes, this situation can be improved if different rendering algorithms are manually assigned to particular parts of the scene by an experienced user. We introduce the Multi-Algorithm-Rendering method. It automatically deploys different rendering algorithms simultaneously for a broad range of scene types. The method divides the scene into subregions and measures the behavior of different algorithms for each region in a preprocessing step. During runtime, this data is utilized to compute an estimate for the quality and running time of the available rendering algorithms from the observer's point of view. By solving an optimizing problem, the image quality can be optimized by an assignment of algorithms to regions while keeping the frame rate almost constant.\r\n","lang":"eng"}],"citation":{"chicago":"Petring, Ralf, Benjamin Eikel, Claudius Jähn, Matthias Fischer, and Friedhelm Meyer auf der Heide. “Real-Time 3D Rendering of Heterogeneous Scenes.” In <i>Advances in Visual Computing</i>. Berlin, Heidelberg, 2013. <a href=\"https://doi.org/10.1007/978-3-642-41914-0_44\">https://doi.org/10.1007/978-3-642-41914-0_44</a>.","short":"R. Petring, B. Eikel, C. Jähn, M. Fischer, F. Meyer auf der Heide, in: Advances in Visual Computing, Berlin, Heidelberg, 2013.","apa":"Petring, R., Eikel, B., Jähn, C., Fischer, M., &#38; Meyer auf der Heide, F. (2013). Real-Time 3D Rendering of Heterogeneous Scenes. In <i>Advances in Visual Computing</i>. Berlin, Heidelberg. <a href=\"https://doi.org/10.1007/978-3-642-41914-0_44\">https://doi.org/10.1007/978-3-642-41914-0_44</a>","ieee":"R. Petring, B. Eikel, C. Jähn, M. Fischer, and F. Meyer auf der Heide, “Real-Time 3D Rendering of Heterogeneous Scenes,” in <i>Advances in Visual Computing</i>, Berlin, Heidelberg, 2013.","ama":"Petring R, Eikel B, Jähn C, Fischer M, Meyer auf der Heide F. Real-Time 3D Rendering of Heterogeneous Scenes. In: <i>Advances in Visual Computing</i>. Berlin, Heidelberg; 2013. doi:<a href=\"https://doi.org/10.1007/978-3-642-41914-0_44\">10.1007/978-3-642-41914-0_44</a>","bibtex":"@inbook{Petring_Eikel_Jähn_Fischer_Meyer auf der Heide_2013, place={Berlin, Heidelberg}, title={Real-Time 3D Rendering of Heterogeneous Scenes}, DOI={<a href=\"https://doi.org/10.1007/978-3-642-41914-0_44\">10.1007/978-3-642-41914-0_44</a>}, booktitle={Advances in Visual Computing}, author={Petring, Ralf and Eikel, Benjamin and Jähn, Claudius and Fischer, Matthias and Meyer auf der Heide, Friedhelm}, year={2013} }","mla":"Petring, Ralf, et al. “Real-Time 3D Rendering of Heterogeneous Scenes.” <i>Advances in Visual Computing</i>, 2013, doi:<a href=\"https://doi.org/10.1007/978-3-642-41914-0_44\">10.1007/978-3-642-41914-0_44</a>."},"publication":"Advances in Visual Computing"},{"author":[{"last_name":"Szarvas","first_name":"G.","full_name":"Szarvas, G."},{"first_name":"Robert","last_name":"Busa-Fekete","full_name":"Busa-Fekete, Robert"},{"id":"48129","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","first_name":"Eyke"}],"title":"Learning to rank lexical substitutions","year":"2013","status":"public","date_updated":"2022-01-06T06:51:28Z","language":[{"iso":"eng"}],"_id":"13115","user_id":"49109","citation":{"ieee":"G. Szarvas, R. Busa-Fekete, and E. Hüllermeier, “Learning to rank lexical substitutions,” in <i>In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA</i>, 2013.","apa":"Szarvas, G., Busa-Fekete, R., &#38; Hüllermeier, E. (2013). Learning to rank lexical substitutions. In <i>In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA</i>.","chicago":"Szarvas, G., Robert Busa-Fekete, and Eyke Hüllermeier. “Learning to Rank Lexical Substitutions.” In <i>In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA</i>, 2013.","short":"G. Szarvas, R. Busa-Fekete, E. Hüllermeier, in: In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA, 2013.","mla":"Szarvas, G., et al. “Learning to Rank Lexical Substitutions.” <i>In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA</i>, 2013.","bibtex":"@inproceedings{Szarvas_Busa-Fekete_Hüllermeier_2013, title={Learning to rank lexical substitutions}, booktitle={In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA}, author={Szarvas, G. and Busa-Fekete, Robert and Hüllermeier, Eyke}, year={2013} }","ama":"Szarvas G, Busa-Fekete R, Hüllermeier E. Learning to rank lexical substitutions. In: <i>In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA</i>. ; 2013."},"publication":"In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA","date_created":"2019-08-30T15:24:59Z","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"type":"conference"},{"status":"public","title":"Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization","year":"2013","author":[{"last_name":"Dembczynski","first_name":"K.","full_name":"Dembczynski, K."},{"last_name":"Jachnik","first_name":"A.","full_name":"Jachnik, A."},{"last_name":"Kotlowski","first_name":"W.","full_name":"Kotlowski, W."},{"first_name":"W.","last_name":"Waegeman","full_name":"Waegeman, W."},{"first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","id":"48129"}],"date_updated":"2022-01-06T06:51:28Z","page":"1130-1138","language":[{"iso":"eng"}],"_id":"13116","user_id":"49109","editor":[{"full_name":"Dasgupta, S.","first_name":"S.","last_name":"Dasgupta"},{"last_name":"McAllester","first_name":"D.","full_name":"McAllester, D."}],"publication":"in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA","citation":{"mla":"Dembczynski, K., et al. “Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization.” <i>In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA</i>, edited by S. Dasgupta and D. McAllester, 2013, pp. 1130–38.","ama":"Dembczynski K, Jachnik A, Kotlowski W, Waegeman W, Hüllermeier E. Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization. In: Dasgupta S, McAllester D, eds. <i>In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA</i>. ; 2013:1130-1138.","bibtex":"@inproceedings{Dembczynski_Jachnik_Kotlowski_Waegeman_Hüllermeier_2013, title={Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization}, booktitle={in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA}, author={Dembczynski, K. and Jachnik, A. and Kotlowski, W. and Waegeman, W. and Hüllermeier, Eyke}, editor={Dasgupta, S. and McAllester, D.Editors}, year={2013}, pages={1130–1138} }","apa":"Dembczynski, K., Jachnik, A., Kotlowski, W., Waegeman, W., &#38; Hüllermeier, E. (2013). Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization. In S. Dasgupta &#38; D. McAllester (Eds.), <i>in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA</i> (pp. 1130–1138).","ieee":"K. Dembczynski, A. Jachnik, W. Kotlowski, W. Waegeman, and E. Hüllermeier, “Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization,” in <i>in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA</i>, 2013, pp. 1130–1138.","chicago":"Dembczynski, K., A. Jachnik, W. Kotlowski, W. Waegeman, and Eyke Hüllermeier. “Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization.” In <i>In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA</i>, edited by S. Dasgupta and D. McAllester, 1130–38, 2013.","short":"K. Dembczynski, A. Jachnik, W. Kotlowski, W. Waegeman, E. Hüllermeier, in: S. Dasgupta, D. McAllester (Eds.), In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, 2013, pp. 1130–1138."},"date_created":"2019-08-30T15:33:19Z","type":"conference","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}]},{"date_created":"2019-08-30T15:38:31Z","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"type":"conference","citation":{"chicago":"Busa-Fekete, Robert, B. Szoreny, P. Weng, W. Cheng, and Eyke Hüllermeier. “Top-k Selection Based on Adaptive Sampling of Noisy Preferences.” In <i>In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA</i>, edited by S. Dasgupta and D. McAllester, 1094–1102, 2013.","short":"R. Busa-Fekete, B. Szoreny, P. Weng, W. Cheng, E. Hüllermeier, in: S. Dasgupta, D. McAllester (Eds.), In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA, 2013, pp. 1094–1102.","apa":"Busa-Fekete, R., Szoreny, B., Weng, P., Cheng, W., &#38; Hüllermeier, E. (2013). Top-k selection based on adaptive sampling of noisy preferences. In S. Dasgupta &#38; D. McAllester (Eds.), <i>in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA</i> (pp. 1094–1102).","ieee":"R. Busa-Fekete, B. Szoreny, P. Weng, W. Cheng, and E. Hüllermeier, “Top-k selection based on adaptive sampling of noisy preferences,” in <i>in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA</i>, 2013, pp. 1094–1102.","ama":"Busa-Fekete R, Szoreny B, Weng P, Cheng W, Hüllermeier E. Top-k selection based on adaptive sampling of noisy preferences. In: Dasgupta S, McAllester D, eds. <i>In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA</i>. ; 2013:1094-1102.","bibtex":"@inproceedings{Busa-Fekete_Szoreny_Weng_Cheng_Hüllermeier_2013, title={Top-k selection based on adaptive sampling of noisy preferences}, booktitle={in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA}, author={Busa-Fekete, Robert and Szoreny, B. and Weng, P. and Cheng, W. and Hüllermeier, Eyke}, editor={Dasgupta, S. and McAllester, D.Editors}, year={2013}, pages={1094–1102} }","mla":"Busa-Fekete, Robert, et al. “Top-k Selection Based on Adaptive Sampling of Noisy Preferences.” <i>In Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA</i>, edited by S. Dasgupta and D. 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