[{"publication":"INFORMATIK","citation":{"short":"S. Heindorf, Y. Scholten, G. Engels, M. Potthast, in: INFORMATIK, 2019, pp. 289–290.","chicago":"Heindorf, Stefan, Yan Scholten, Gregor Engels, and Martin Potthast. “Debiasing Vandalism Detection Models at Wikidata (Extended Abstract).” In <i>INFORMATIK</i>, 289–90, 2019. <a href=\"https://doi.org/10.18420/inf2019_48\">https://doi.org/10.18420/inf2019_48</a>.","apa":"Heindorf, S., Scholten, Y., Engels, G., &#38; Potthast, M. (2019). Debiasing Vandalism Detection Models at Wikidata (Extended Abstract). In <i>INFORMATIK</i> (pp. 289–290). <a href=\"https://doi.org/10.18420/inf2019_48\">https://doi.org/10.18420/inf2019_48</a>","ieee":"S. Heindorf, Y. Scholten, G. Engels, and M. Potthast, “Debiasing Vandalism Detection Models at Wikidata (Extended Abstract),” in <i>INFORMATIK</i>, 2019, pp. 289–290.","ama":"Heindorf S, Scholten Y, Engels G, Potthast M. Debiasing Vandalism Detection Models at Wikidata (Extended Abstract). In: <i>INFORMATIK</i>. ; 2019:289-290. doi:<a href=\"https://doi.org/10.18420/inf2019_48\">10.18420/inf2019_48</a>","bibtex":"@inproceedings{Heindorf_Scholten_Engels_Potthast_2019, title={Debiasing Vandalism Detection Models at Wikidata (Extended Abstract)}, DOI={<a href=\"https://doi.org/10.18420/inf2019_48\">10.18420/inf2019_48</a>}, booktitle={INFORMATIK}, author={Heindorf, Stefan and Scholten, Yan and Engels, Gregor and Potthast, Martin}, year={2019}, pages={289–290} }","mla":"Heindorf, Stefan, et al. “Debiasing Vandalism Detection Models at Wikidata (Extended Abstract).” <i>INFORMATIK</i>, 2019, pp. 289–90, doi:<a href=\"https://doi.org/10.18420/inf2019_48\">10.18420/inf2019_48</a>."},"type":"conference","department":[{"_id":"66"}],"oa":"1","date_created":"2019-11-05T15:48:52Z","date_updated":"2022-01-06T06:52:03Z","year":"2019","title":"Debiasing Vandalism Detection Models at Wikidata (Extended Abstract)","status":"public","author":[{"id":"11871","full_name":"Heindorf, Stefan","orcid":"0000-0002-4525-6865","first_name":"Stefan","last_name":"Heindorf"},{"first_name":"Yan","last_name":"Scholten","full_name":"Scholten, Yan"},{"last_name":"Engels","first_name":"Gregor","full_name":"Engels, Gregor","id":"107"},{"full_name":"Potthast, Martin","first_name":"Martin","last_name":"Potthast"}],"user_id":"11871","doi":"10.18420/inf2019_48","main_file_link":[{"open_access":"1","url":"https://dl.gi.de/bitstream/handle/20.500.12116/24997/paper3_25.pdf"}],"page":"289-290","_id":"14568","language":[{"iso":"eng"}]},{"_id":"14822","ddc":["006"],"user_id":"59789","status":"public","has_accepted_license":"1","oa":"1","citation":{"ieee":"J. Heitkaemper, T. Feher, M. Freitag, and R. Haeb-Umbach, “A Study on Online Source Extraction in the Presence of Changing Speaker Positions,” in <i>International Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia</i>, 2019.","apa":"Heitkaemper, J., Feher, T., Freitag, M., &#38; Haeb-Umbach, R. (2019). A Study on Online Source Extraction in the Presence of Changing Speaker Positions. In <i>International Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia</i>.","chicago":"Heitkaemper, Jens, Thomas Feher, Michael Freitag, and Reinhold Haeb-Umbach. “A Study on Online Source Extraction in the Presence of Changing Speaker Positions.” In <i>International Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia</i>, 2019.","short":"J. Heitkaemper, T. Feher, M. Freitag, R. Haeb-Umbach, in: International Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia, 2019.","mla":"Heitkaemper, Jens, et al. “A Study on Online Source Extraction in the Presence of Changing Speaker Positions.” <i>International Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia</i>, 2019.","bibtex":"@inproceedings{Heitkaemper_Feher_Freitag_Haeb-Umbach_2019, title={A Study on Online Source Extraction in the Presence of Changing Speaker Positions}, booktitle={International Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia}, author={Heitkaemper, Jens and Feher, Thomas and Freitag, Michael and Haeb-Umbach, Reinhold}, year={2019} }","ama":"Heitkaemper J, Feher T, Freitag M, Haeb-Umbach R. A Study on Online Source Extraction in the Presence of Changing Speaker Positions. In: <i>International Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia</i>. ; 2019."},"file_date_updated":"2019-11-08T07:47:12Z","project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"language":[{"iso":"eng"}],"author":[{"first_name":"Jens","last_name":"Heitkaemper","full_name":"Heitkaemper, Jens","id":"27643"},{"full_name":"Feher, Thomas","last_name":"Feher","first_name":"Thomas"},{"full_name":"Freitag, Michael","last_name":"Freitag","first_name":"Michael"},{"full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold","id":"242"}],"title":"A Study on Online Source Extraction in the Presence of Changing Speaker Positions","year":"2019","date_updated":"2022-01-06T06:52:06Z","date_created":"2019-11-06T09:43:03Z","file":[{"creator":"huesera","date_created":"2019-11-06T10:02:26Z","file_name":"SLSP_2019_Heitkaemper_Paper.pdf","access_level":"open_access","file_size":578595,"relation":"main_file","date_updated":"2019-11-08T07:47:12Z","file_id":"14823","content_type":"application/pdf"}],"department":[{"_id":"54"}],"type":"conference","publication":"International Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia","abstract":[{"lang":"eng","text":"Multi-talker speech and moving speakers still pose a significant challenge to automatic speech recognition systems. Assuming an enrollment utterance of the target speakeris available, the so-called SpeakerBeam concept has been recently proposed to extract the target speaker from a speech mixture. If multi-channel input is available, spatial properties of the speaker can be exploited to support the source extraction. In this contribution we investigate different approaches to exploit such spatial information. In particular, we are interested in the question, how useful this information is if the target speaker changes his/her position. To this end, we present a SpeakerBeam-based source extraction network that is adapted to work on moving speakers by recursively updating the beamformer coefficients. Experimental results are presented on two data sets, one with articially created room impulse responses, and one with real room impulse responses and noise recorded in a conference room. Interestingly, spatial features turn out to be advantageous even if the speaker position changes."}]},{"citation":{"bibtex":"@inproceedings{Martin-Donas_Heitkaemper_Haeb-Umbach_Gomez_Peinado_2019, title={Multi-Channel Block-Online Source Extraction based on Utterance Adaptation}, booktitle={INTERSPEECH 2019, Graz, Austria}, author={Martin-Donas, Juan M. and Heitkaemper, Jens and Haeb-Umbach, Reinhold and Gomez, Angel M. and Peinado, Antonio M.}, year={2019} }","chicago":"Martin-Donas, Juan M., Jens Heitkaemper, Reinhold Haeb-Umbach, Angel M. Gomez, and Antonio M. Peinado. “Multi-Channel Block-Online Source Extraction Based on Utterance Adaptation.” In <i>INTERSPEECH 2019, Graz, Austria</i>, 2019.","ama":"Martin-Donas JM, Heitkaemper J, Haeb-Umbach R, Gomez AM, Peinado AM. Multi-Channel Block-Online Source Extraction based on Utterance Adaptation. In: <i>INTERSPEECH 2019, Graz, Austria</i>. ; 2019.","short":"J.M. Martin-Donas, J. Heitkaemper, R. Haeb-Umbach, A.M. Gomez, A.M. Peinado, in: INTERSPEECH 2019, Graz, Austria, 2019.","ieee":"J. M. Martin-Donas, J. Heitkaemper, R. Haeb-Umbach, A. M. Gomez, and A. M. Peinado, “Multi-Channel Block-Online Source Extraction based on Utterance Adaptation,” in <i>INTERSPEECH 2019, Graz, Austria</i>, 2019.","apa":"Martin-Donas, J. M., Heitkaemper, J., Haeb-Umbach, R., Gomez, A. M., &#38; Peinado, A. M. (2019). Multi-Channel Block-Online Source Extraction based on Utterance Adaptation. In <i>INTERSPEECH 2019, Graz, Austria</i>.","mla":"Martin-Donas, Juan M., et al. “Multi-Channel Block-Online Source Extraction Based on Utterance Adaptation.” <i>INTERSPEECH 2019, Graz, Austria</i>, 2019."},"file_date_updated":"2019-11-08T07:46:37Z","publication":"INTERSPEECH 2019, Graz, Austria","project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"abstract":[{"text":"This paper deals with multi-channel speech recognition in scenarios with multiple speakers. Recently, the spectral characteristics of a target speaker, extracted from an adaptation utterance, have been used to guide a neural network mask estimator to focus on that speaker. In this work we present two variants of speakeraware neural networks, which exploit both spectral and spatial information to allow better discrimination between target and interfering speakers. Thus, we introduce either a spatial preprocessing prior to the mask estimation or a spatial plus spectral speaker characterization block whose output is directly fed into the neural mask estimator. The target speaker’s spectral and spatial signature is extracted from an adaptation utterance recorded at the beginning of a session. We further adapt the architecture for low-latency processing by means of block-online beamforming that recursively updates the signal statistics. Experimental results show that the additional spatial information clearly improves source extraction, in particular in the same-gender case, and that our proposal achieves state-of-the-art performance in terms of distortion reduction and recognition accuracy.","lang":"eng"}],"date_created":"2019-11-06T10:04:49Z","file":[{"creator":"huesera","date_created":"2019-11-06T10:07:15Z","file_name":"INTERSPEECH_2019_Heitkaemper_Paper.pdf","access_level":"open_access","file_size":225689,"relation":"main_file","date_updated":"2019-11-08T07:46:37Z","file_id":"14825","content_type":"application/pdf"}],"department":[{"_id":"54"}],"oa":"1","type":"conference","author":[{"full_name":"Martin-Donas, Juan M.","first_name":"Juan M.","last_name":"Martin-Donas"},{"id":"27643","first_name":"Jens","last_name":"Heitkaemper","full_name":"Heitkaemper, Jens"},{"full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold","id":"242"},{"full_name":"Gomez, Angel M.","first_name":"Angel M.","last_name":"Gomez"},{"full_name":"Peinado, Antonio M.","first_name":"Antonio M.","last_name":"Peinado"}],"title":"Multi-Channel Block-Online Source Extraction based on Utterance Adaptation","year":"2019","status":"public","has_accepted_license":"1","date_updated":"2022-01-06T06:52:07Z","_id":"14824","language":[{"iso":"eng"}],"user_id":"59789","ddc":["000"]},{"language":[{"iso":"eng"}],"_id":"14826","ddc":["000"],"user_id":"59789","title":"Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR","year":"2019","status":"public","author":[{"first_name":"Naoyuki","last_name":"Kanda","full_name":"Kanda, Naoyuki"},{"id":"40767","full_name":"Boeddeker, Christoph","first_name":"Christoph","last_name":"Boeddeker"},{"id":"27643","first_name":"Jens","last_name":"Heitkaemper","full_name":"Heitkaemper, Jens"},{"first_name":"Yusuke","last_name":"Fujita","full_name":"Fujita, Yusuke"},{"full_name":"Horiguchi, Shota","last_name":"Horiguchi","first_name":"Shota"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold"}],"date_updated":"2022-01-06T06:52:07Z","has_accepted_license":"1","file":[{"date_created":"2019-11-06T10:10:23Z","creator":"huesera","content_type":"application/pdf","file_id":"14827","file_size":216202,"access_level":"open_access","file_name":"INTERSPEECH_2019_Boeddeker_Paper.pdf","date_updated":"2019-11-08T07:45:15Z","relation":"main_file"}],"date_created":"2019-11-06T10:08:49Z","type":"conference","oa":"1","department":[{"_id":"54"}],"publication":"INTERSPEECH 2019, Graz, Austria","file_date_updated":"2019-11-08T07:45:15Z","citation":{"ama":"Kanda N, Boeddeker C, Heitkaemper J, Fujita Y, Horiguchi S, Haeb-Umbach R. Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR. In: <i>INTERSPEECH 2019, Graz, Austria</i>. ; 2019.","bibtex":"@inproceedings{Kanda_Boeddeker_Heitkaemper_Fujita_Horiguchi_Haeb-Umbach_2019, title={Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR}, booktitle={INTERSPEECH 2019, Graz, Austria}, author={Kanda, Naoyuki and Boeddeker, Christoph and Heitkaemper, Jens and Fujita, Yusuke and Horiguchi, Shota and Haeb-Umbach, Reinhold}, year={2019} }","mla":"Kanda, Naoyuki, et al. “Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR.” <i>INTERSPEECH 2019, Graz, Austria</i>, 2019.","chicago":"Kanda, Naoyuki, Christoph Boeddeker, Jens Heitkaemper, Yusuke Fujita, Shota Horiguchi, and Reinhold Haeb-Umbach. “Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR.” In <i>INTERSPEECH 2019, Graz, Austria</i>, 2019.","short":"N. Kanda, C. Boeddeker, J. Heitkaemper, Y. Fujita, S. Horiguchi, R. Haeb-Umbach, in: INTERSPEECH 2019, Graz, Austria, 2019.","apa":"Kanda, N., Boeddeker, C., Heitkaemper, J., Fujita, Y., Horiguchi, S., &#38; Haeb-Umbach, R. (2019). Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR. In <i>INTERSPEECH 2019, Graz, Austria</i>.","ieee":"N. Kanda, C. Boeddeker, J. Heitkaemper, Y. Fujita, S. Horiguchi, and R. Haeb-Umbach, “Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR,” in <i>INTERSPEECH 2019, Graz, Austria</i>, 2019."},"abstract":[{"lang":"eng","text":"In this paper, we present Hitachi and Paderborn University’s joint effort for automatic speech recognition (ASR) in a dinner party scenario. The main challenges of ASR systems for dinner party recordings obtained by multiple microphone arrays are (1) heavy speech overlaps, (2) severe noise and reverberation, (3) very natural onversational content, and possibly (4) insufficient training data. As an example of a dinner party scenario, we have chosen the data presented during the CHiME-5 speech recognition challenge, where the baseline ASR had a 73.3% word error rate (WER), and even the best performing system at the CHiME-5 challenge had a 46.1% WER. We extensively investigated a combination of the guided source separation-based speech enhancement technique and an already proposed strong ASR backend and found that a tight combination of these techniques provided substantial accuracy improvements. Our final system achieved WERs of 39.94% and 41.64% for the development and evaluation data, respectively, both of which are the best published results for the dataset. We also investigated with additional training data on the official small data in the CHiME-5 corpus to assess the intrinsic difficulty of this ASR task."}],"project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}]},{"date_updated":"2022-01-06T06:52:10Z","publication_status":"published","intvolume":"        42","year":"2019","title":"Analyse der Veränderung der zwischenstaatlichen Gewinnaufteilung bei Einführung einer standardisierten Gewinnverteilungsmethode am Beispiel des Einsatzes von 3D-Druckern","author":[{"first_name":"Christina","last_name":"Mair","full_name":"Mair, Christina"},{"full_name":"Scheffler, Wolfram","last_name":"Scheffler","first_name":"Wolfram"},{"full_name":"Senger, Isabell","last_name":"Senger","first_name":"Isabell"},{"id":"530","first_name":"Caren","last_name":"Sureth-Sloane","full_name":"Sureth-Sloane, Caren"}],"main_file_link":[{"open_access":"1"}],"language":[{"iso":"ger"}],"series_title":"TAF Wokring Paper Series","type":"working_paper","department":[{"_id":"187"},{"_id":"635"}],"file":[{"content_type":"application/pdf","success":1,"file_id":"21423","date_updated":"2021-03-09T09:35:37Z","relation":"main_file","access_level":"closed","file_size":1293280,"file_name":"TAF Working Paper No. 42.pdf","date_created":"2021-03-09T09:35:37Z","creator":"kschulz2"}],"date_created":"2019-11-13T08:15:09Z","has_accepted_license":"1","status":"public","ddc":["330"],"user_id":"68607","volume":42,"_id":"14902","file_date_updated":"2021-03-09T09:35:37Z","citation":{"apa":"Mair, C., Scheffler, W., Senger, I., &#38; Sureth-Sloane, C. (2019). <i>Analyse der Veränderung der zwischenstaatlichen Gewinnaufteilung bei Einführung einer standardisierten Gewinnverteilungsmethode am Beispiel des Einsatzes von 3D-Druckern</i> (Vol. 42).","mla":"Mair, Christina, et al. <i>Analyse der Veränderung der zwischenstaatlichen Gewinnaufteilung bei Einführung einer standardisierten Gewinnverteilungsmethode am Beispiel des Einsatzes von 3D-Druckern</i>. Vol. 42, 2019.","ieee":"C. Mair, W. Scheffler, I. Senger, and C. Sureth-Sloane, <i>Analyse der Veränderung der zwischenstaatlichen Gewinnaufteilung bei Einführung einer standardisierten Gewinnverteilungsmethode am Beispiel des Einsatzes von 3D-Druckern</i>, vol. 42. 2019.","ama":"Mair C, Scheffler W, Senger I, Sureth-Sloane C. <i>Analyse der Veränderung der zwischenstaatlichen Gewinnaufteilung bei Einführung einer standardisierten Gewinnverteilungsmethode am Beispiel des Einsatzes von 3D-Druckern</i>. Vol 42.; 2019.","short":"C. Mair, W. Scheffler, I. Senger, C. Sureth-Sloane, Analyse der Veränderung der zwischenstaatlichen Gewinnaufteilung bei Einführung einer standardisierten Gewinnverteilungsmethode am Beispiel des Einsatzes von 3D-Druckern, 2019.","chicago":"Mair, Christina, Wolfram Scheffler, Isabell Senger, and Caren Sureth-Sloane. <i>Analyse der Veränderung der zwischenstaatlichen Gewinnaufteilung bei Einführung einer standardisierten Gewinnverteilungsmethode am Beispiel des Einsatzes von 3D-Druckern</i>. Vol. 42. TAF Wokring Paper Series, 2019.","bibtex":"@book{Mair_Scheffler_Senger_Sureth-Sloane_2019, series={TAF Wokring Paper Series}, title={Analyse der Veränderung der zwischenstaatlichen Gewinnaufteilung bei Einführung einer standardisierten Gewinnverteilungsmethode am Beispiel des Einsatzes von 3D-Druckern}, volume={42}, author={Mair, Christina and Scheffler, Wolfram and Senger, Isabell and Sureth-Sloane, Caren}, year={2019}, collection={TAF Wokring Paper Series} }"},"oa":"1"},{"publication_identifier":{"issn":["2578-7519"]},"author":[{"id":"40428","last_name":"Ebers","first_name":"Lena","full_name":"Ebers, Lena"},{"full_name":"Hammer, Manfred","first_name":"Manfred","last_name":"Hammer","orcid":"0000-0002-6331-9348","id":"48077"},{"full_name":"Berkemeier, Manuel B.","last_name":"Berkemeier","first_name":"Manuel B."},{"full_name":"Menzel, Alexander","last_name":"Menzel","first_name":"Alexander"},{"full_name":"Förstner, Jens","orcid":"0000-0001-7059-9862","last_name":"Förstner","first_name":"Jens","id":"158"}],"year":"2019","title":"Coupled microstrip-cavities under oblique incidence of semi-guided waves: a lossless integrated optical add-drop filter","intvolume":"         2","date_updated":"2022-01-06T06:52:13Z","publication_status":"published","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://www.osapublishing.org/osac/abstract.cfm?uri=osac-2-11-3288"}],"doi":"10.1364/osac.2.003288","publication":"OSA Continuum","abstract":[{"lang":"eng","text":"We investigate optical microresonators consisting of either one or two coupled rectangular strips between upper and lower slab waveguides. The cavities are evanescently excited under oblique angles by thin-film guided, in-plane unguided waves supported by one of the slab waveguides. Beyond a specific incidence angle, losses are fully suppressed. The interaction between the guided mode of the cavity-strip and the incoming slab modes leads to resonant behavior for specific incidence angles and gaps. For a single cavity, at resonance, the input power is equally split among each of the four output ports, while for two cavities an add-drop filter can be realized that, at resonance, routes the incoming power completely to the forward drop waveguide via the cavity. For both applications, the strength of the interaction is controlled by the gaps between cavities and waveguides."}],"date_created":"2019-11-15T07:21:20Z","file":[{"file_name":"2019-11-12 Ebers - Add Drop Filter - OSA continuum (official version).pdf","file_size":882779,"access_level":"open_access","relation":"main_file","date_updated":"2019-11-15T15:33:26Z","file_id":"15012","content_type":"application/pdf","creator":"fossie","date_created":"2019-11-15T15:33:26Z"}],"department":[{"_id":"61"},{"_id":"230"}],"type":"journal_article","keyword":["tet_topic_waveguides"],"status":"public","has_accepted_license":"1","_id":"14990","page":"3288","volume":2,"ddc":["530"],"user_id":"158","citation":{"ama":"Ebers L, Hammer M, Berkemeier MB, Menzel A, Förstner J. Coupled microstrip-cavities under oblique incidence of semi-guided waves: a lossless integrated optical add-drop filter. <i>OSA Continuum</i>. 2019;2:3288. doi:<a href=\"https://doi.org/10.1364/osac.2.003288\">10.1364/osac.2.003288</a>","bibtex":"@article{Ebers_Hammer_Berkemeier_Menzel_Förstner_2019, title={Coupled microstrip-cavities under oblique incidence of semi-guided waves: a lossless integrated optical add-drop filter}, volume={2}, DOI={<a href=\"https://doi.org/10.1364/osac.2.003288\">10.1364/osac.2.003288</a>}, journal={OSA Continuum}, author={Ebers, Lena and Hammer, Manfred and Berkemeier, Manuel B. and Menzel, Alexander and Förstner, Jens}, year={2019}, pages={3288} }","mla":"Ebers, Lena, et al. “Coupled Microstrip-Cavities under Oblique Incidence of Semi-Guided Waves: A Lossless Integrated Optical Add-Drop Filter.” <i>OSA Continuum</i>, vol. 2, 2019, p. 3288, doi:<a href=\"https://doi.org/10.1364/osac.2.003288\">10.1364/osac.2.003288</a>.","chicago":"Ebers, Lena, Manfred Hammer, Manuel B. Berkemeier, Alexander Menzel, and Jens Förstner. “Coupled Microstrip-Cavities under Oblique Incidence of Semi-Guided Waves: A Lossless Integrated Optical Add-Drop Filter.” <i>OSA Continuum</i> 2 (2019): 3288. <a href=\"https://doi.org/10.1364/osac.2.003288\">https://doi.org/10.1364/osac.2.003288</a>.","short":"L. Ebers, M. Hammer, M.B. Berkemeier, A. Menzel, J. Förstner, OSA Continuum 2 (2019) 3288.","apa":"Ebers, L., Hammer, M., Berkemeier, M. B., Menzel, A., &#38; Förstner, J. (2019). Coupled microstrip-cavities under oblique incidence of semi-guided waves: a lossless integrated optical add-drop filter. <i>OSA Continuum</i>, <i>2</i>, 3288. <a href=\"https://doi.org/10.1364/osac.2.003288\">https://doi.org/10.1364/osac.2.003288</a>","ieee":"L. Ebers, M. Hammer, M. B. Berkemeier, A. Menzel, and J. Förstner, “Coupled microstrip-cavities under oblique incidence of semi-guided waves: a lossless integrated optical add-drop filter,” <i>OSA Continuum</i>, vol. 2, p. 3288, 2019."},"file_date_updated":"2019-11-15T15:33:26Z","project":[{"_id":"53","name":"TRR 142"},{"_id":"56","name":"TRR 142 - Project Area C"},{"name":"TRR 142 - Subproject C5","_id":"75"}],"oa":"1"},{"oa":"1","citation":{"bibtex":"@article{Waegeman_Dembczynski_Hüllermeier_2019, title={Multi-target prediction: a unifying view on problems and methods}, volume={33}, DOI={<a href=\"https://doi.org/10.1007/s10618-018-0595-5\">10.1007/s10618-018-0595-5</a>}, number={2}, journal={Data Mining and Knowledge Discovery}, author={Waegeman, Willem and Dembczynski, Krzysztof and Hüllermeier, Eyke}, year={2019}, pages={293–324} }","ama":"Waegeman W, Dembczynski K, Hüllermeier E. Multi-target prediction: a unifying view on problems and methods. <i>Data Mining and Knowledge Discovery</i>. 2019;33(2):293-324. doi:<a href=\"https://doi.org/10.1007/s10618-018-0595-5\">10.1007/s10618-018-0595-5</a>","mla":"Waegeman, Willem, et al. “Multi-Target Prediction: A Unifying View on Problems and Methods.” <i>Data Mining and Knowledge Discovery</i>, vol. 33, no. 2, 2019, pp. 293–324, doi:<a href=\"https://doi.org/10.1007/s10618-018-0595-5\">10.1007/s10618-018-0595-5</a>.","chicago":"Waegeman, Willem, Krzysztof Dembczynski, and Eyke Hüllermeier. “Multi-Target Prediction: A Unifying View on Problems and Methods.” <i>Data Mining and Knowledge Discovery</i> 33, no. 2 (2019): 293–324. <a href=\"https://doi.org/10.1007/s10618-018-0595-5\">https://doi.org/10.1007/s10618-018-0595-5</a>.","short":"W. Waegeman, K. Dembczynski, E. Hüllermeier, Data Mining and Knowledge Discovery 33 (2019) 293–324.","ieee":"W. Waegeman, K. Dembczynski, and E. Hüllermeier, “Multi-target prediction: a unifying view on problems and methods,” <i>Data Mining and Knowledge Discovery</i>, vol. 33, no. 2, pp. 293–324, 2019.","apa":"Waegeman, W., Dembczynski, K., &#38; Hüllermeier, E. (2019). Multi-target prediction: a unifying view on problems and methods. <i>Data Mining and Knowledge Discovery</i>, <i>33</i>(2), 293–324. <a href=\"https://doi.org/10.1007/s10618-018-0595-5\">https://doi.org/10.1007/s10618-018-0595-5</a>"},"file_date_updated":"2020-02-28T12:45:26Z","volume":33,"user_id":"315","ddc":["000"],"_id":"15002","page":"293-324","has_accepted_license":"1","status":"public","department":[{"_id":"34"},{"_id":"355"}],"type":"journal_article","date_created":"2019-11-15T10:16:34Z","file":[{"date_created":"2020-02-28T12:43:39Z","creator":"lettmann","file_id":"16155","content_type":"application/pdf","file_name":"multi-target-prediction.pdf","access_level":"open_access","file_size":837808,"relation":"main_file","date_updated":"2020-02-28T12:45:26Z"}],"abstract":[{"lang":"eng","text":"Many problem settings in machine learning are concerned with the simultaneous prediction of multiple target variables of diverse type. Amongst others, such problem settings arise in multivariate regression, multi-label classification, multi-task learning, dyadic prediction, zero-shot learning, network inference, and matrix completion. These subfields of machine learning are typically studied in isolation, without highlighting or exploring important relationships. In this paper, we present a unifying view on what we call multi-target prediction (MTP) problems and methods. First, we formally discuss commonalities and differences between existing MTP problems. To this end, we introduce a general framework that covers the above subfields as special cases. As a second contribution, we provide a structured overview of MTP methods. This is accomplished by identifying a number of key properties, which distinguish such methods and determine their suitability for different types of problems. Finally, we also discuss a few challenges for future research."}],"publication":"Data Mining and Knowledge Discovery","issue":"2","doi":"10.1007/s10618-018-0595-5","language":[{"iso":"eng"}],"intvolume":"        33","date_updated":"2022-01-06T06:52:14Z","publication_identifier":{"issn":["1573-756X"]},"author":[{"last_name":"Waegeman","first_name":"Willem","full_name":"Waegeman, Willem"},{"full_name":"Dembczynski, Krzysztof","first_name":"Krzysztof","last_name":"Dembczynski"},{"last_name":"Hüllermeier","first_name":"Eyke","full_name":"Hüllermeier, Eyke","id":"48129"}],"title":"Multi-target prediction: a unifying view on problems and methods","year":"2019"},{"ddc":["000"],"user_id":"477","_id":"15007","has_accepted_license":"1","status":"public","oa":"1","project":[{"name":"SFB 901 - Subproject B2","_id":"10"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"1","name":"SFB 901"}],"file_date_updated":"2020-02-28T12:47:07Z","citation":{"ama":"Melnikov V, Hüllermeier E. Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA. In: <i>Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101)</i>. ; 2019. doi:<a href=\"https://doi.org/10.1016/j.jmva.2019.02.017\">10.1016/j.jmva.2019.02.017</a>","bibtex":"@inproceedings{Melnikov_Hüllermeier_2019, title={Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA}, DOI={<a href=\"https://doi.org/10.1016/j.jmva.2019.02.017\">10.1016/j.jmva.2019.02.017</a>}, booktitle={Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101)}, author={Melnikov, Vitaly and Hüllermeier, Eyke}, year={2019} }","mla":"Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA.” <i>Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101)</i>, 2019, doi:<a href=\"https://doi.org/10.1016/j.jmva.2019.02.017\">10.1016/j.jmva.2019.02.017</a>.","short":"V. Melnikov, E. Hüllermeier, in: Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101), 2019.","chicago":"Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA.” In <i>Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101)</i>, 2019. <a href=\"https://doi.org/10.1016/j.jmva.2019.02.017\">https://doi.org/10.1016/j.jmva.2019.02.017</a>.","apa":"Melnikov, V., &#38; Hüllermeier, E. (2019). Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA. In <i>Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101)</i>. <a href=\"https://doi.org/10.1016/j.jmva.2019.02.017\">https://doi.org/10.1016/j.jmva.2019.02.017</a>","ieee":"V. Melnikov and E. Hüllermeier, “Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA,” in <i>Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101)</i>, 2019."},"doi":"10.1016/j.jmva.2019.02.017","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:52:14Z","publication_status":"published","year":"2019","title":"Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA","author":[{"id":"58747","first_name":"Vitaly","last_name":"Melnikov","full_name":"Melnikov, Vitaly"},{"first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","id":"48129"}],"type":"conference","department":[{"_id":"34"},{"_id":"355"},{"_id":"7"}],"file":[{"date_updated":"2020-02-28T12:47:07Z","relation":"main_file","access_level":"open_access","file_size":2331320,"file_name":"learning-to-aggregate-owa.pdf","content_type":"application/pdf","file_id":"16156","creator":"lettmann","date_created":"2020-02-28T12:47:07Z"}],"date_created":"2019-11-15T10:43:26Z","publication":"Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101)"},{"publication":"Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019","date_created":"2019-11-15T13:29:25Z","file":[{"date_updated":"2020-05-25T08:01:31Z","relation":"main_file","file_size":468825,"access_level":"open_access","file_name":"ci_workshop_tornede.pdf","content_type":"application/pdf","file_id":"17060","creator":"ahetzer","date_created":"2020-05-25T08:01:31Z"}],"department":[{"_id":"355"}],"type":"conference","author":[{"first_name":"Alexander","last_name":"Tornede","full_name":"Tornede, Alexander","id":"38209"},{"full_name":"Wever, Marcel Dominik","last_name":"Wever","first_name":"Marcel Dominik","orcid":" https://orcid.org/0000-0001-9782-6818","id":"33176"},{"id":"48129","last_name":"Hüllermeier","first_name":"Eyke","full_name":"Hüllermeier, Eyke"}],"publication_identifier":{"isbn":["978-3-7315-0979-0"]},"year":"2019","title":"Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking","publication_status":"published","date_updated":"2022-01-06T06:52:14Z","language":[{"iso":"eng"}],"citation":{"ieee":"A. Tornede, M. D. Wever, and E. Hüllermeier, “Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking,” in <i>Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019</i>, Dortmund, 2019, pp. 135–146.","apa":"Tornede, A., Wever, M. D., &#38; Hüllermeier, E. (2019). Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking. In F. Hoffmann, E. Hüllermeier, &#38; R. Mikut (Eds.), <i>Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019</i> (pp. 135–146). Dortmund: KIT Scientific Publishing, Karlsruhe.","short":"A. Tornede, M.D. Wever, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier, R. Mikut (Eds.), Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019, KIT Scientific Publishing, Karlsruhe, 2019, pp. 135–146.","chicago":"Tornede, Alexander, Marcel Dominik Wever, and Eyke Hüllermeier. “Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking.” In <i>Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019</i>, edited by Frank Hoffmann, Eyke Hüllermeier, and Ralf Mikut, 135–46. KIT Scientific Publishing, Karlsruhe, 2019.","mla":"Tornede, Alexander, et al. “Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking.” <i>Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019</i>, edited by Frank Hoffmann et al., KIT Scientific Publishing, Karlsruhe, 2019, pp. 135–46.","bibtex":"@inproceedings{Tornede_Wever_Hüllermeier_2019, title={Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking}, booktitle={Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019}, publisher={KIT Scientific Publishing, Karlsruhe}, author={Tornede, Alexander and Wever, Marcel Dominik and Hüllermeier, Eyke}, editor={Hoffmann, Frank and Hüllermeier, Eyke and Mikut, RalfEditors}, year={2019}, pages={135–146} }","ama":"Tornede A, Wever MD, Hüllermeier E. Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking. In: Hoffmann F, Hüllermeier E, Mikut R, eds. <i>Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019</i>. KIT Scientific Publishing, Karlsruhe; 2019:135-146."},"file_date_updated":"2020-05-25T08:01:31Z","project":[{"_id":"1","name":"SFB 901"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"10","name":"SFB 901 - Subproject B2"},{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"oa":"1","conference":{"name":"29. Workshop Computational Intelligence","start_date":"2019-11-28","location":"Dortmund","end_date":"2019-11-29"},"status":"public","has_accepted_license":"1","publisher":"KIT Scientific Publishing, Karlsruhe","_id":"15011","page":"135-146","editor":[{"full_name":"Hoffmann, Frank","last_name":"Hoffmann","first_name":"Frank"},{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","last_name":"Hüllermeier"},{"full_name":"Mikut, Ralf","last_name":"Mikut","first_name":"Ralf"}],"user_id":"38209","ddc":["006"]},{"_id":"16337","page":"413-424","volume":38,"user_id":"11648","conference":{"name":"Pacific Graphics 2019","start_date":"2019-10-14","location":"Seoul, South Korea","end_date":"2019-10-17"},"status":"public","oa":"1","citation":{"bibtex":"@article{Brandt_Jähn_Fischer_Meyer auf der Heide_2019, title={Visibility‐Aware Progressive Farthest Point Sampling on the GPU}, volume={38}, DOI={<a href=\"https://doi.org/10.1111/cgf.13848\">10.1111/cgf.13848</a>}, number={7}, journal={Computer Graphics Forum}, author={Brandt, Sascha and Jähn, Claudius and Fischer, Matthias and Meyer auf der Heide, Friedhelm}, year={2019}, pages={413–424} }","ama":"Brandt S, Jähn C, Fischer M, Meyer auf der Heide F. Visibility‐Aware Progressive Farthest Point Sampling on the GPU. <i>Computer Graphics Forum</i>. 2019;38(7):413-424. doi:<a href=\"https://doi.org/10.1111/cgf.13848\">10.1111/cgf.13848</a>","mla":"Brandt, Sascha, et al. “Visibility‐Aware Progressive Farthest Point Sampling on the GPU.” <i>Computer Graphics Forum</i>, vol. 38, no. 7, 2019, pp. 413–24, doi:<a href=\"https://doi.org/10.1111/cgf.13848\">10.1111/cgf.13848</a>.","short":"S. Brandt, C. Jähn, M. Fischer, F. Meyer auf der Heide, Computer Graphics Forum 38 (2019) 413–424.","chicago":"Brandt, Sascha, Claudius Jähn, Matthias Fischer, and Friedhelm Meyer auf der Heide. “Visibility‐Aware Progressive Farthest Point Sampling on the GPU.” <i>Computer Graphics Forum</i> 38, no. 7 (2019): 413–24. <a href=\"https://doi.org/10.1111/cgf.13848\">https://doi.org/10.1111/cgf.13848</a>.","ieee":"S. Brandt, C. Jähn, M. Fischer, and F. Meyer auf der Heide, “Visibility‐Aware Progressive Farthest Point Sampling on the GPU,” <i>Computer Graphics Forum</i>, vol. 38, no. 7, pp. 413–424, 2019.","apa":"Brandt, S., Jähn, C., Fischer, M., &#38; Meyer auf der Heide, F. (2019). Visibility‐Aware Progressive Farthest Point Sampling on the GPU. <i>Computer Graphics Forum</i>, <i>38</i>(7), 413–424. <a href=\"https://doi.org/10.1111/cgf.13848\">https://doi.org/10.1111/cgf.13848</a>"},"language":[{"iso":"eng"}],"main_file_link":[{"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1111/cgf.13848","open_access":"1"}],"doi":"10.1111/cgf.13848","author":[{"id":"11648","first_name":"Sascha","last_name":"Brandt","orcid":"https://orcid.org/0000-0003-3546-203X","full_name":"Brandt, Sascha"},{"first_name":"Claudius","last_name":"Jähn","full_name":"Jähn, Claudius"},{"id":"146","last_name":"Fischer","first_name":"Matthias","full_name":"Fischer, Matthias"},{"last_name":"Meyer auf der Heide","first_name":"Friedhelm","full_name":"Meyer auf der Heide, Friedhelm","id":"15523"}],"publication_identifier":{"issn":["0167-7055","1467-8659"]},"year":"2019","title":"Visibility‐Aware Progressive Farthest Point Sampling on the GPU","intvolume":"        38","date_updated":"2022-01-06T06:52:49Z","publication_status":"published","date_created":"2020-03-24T08:24:11Z","type":"journal_article","issue":"7","publication":"Computer Graphics Forum"},{"status":"public","year":"2019","title":"Rendering of Complex Heterogenous Scenes using Progressive Blue Surfels","author":[{"id":"11648","first_name":"Sascha","last_name":"Brandt","orcid":"0000-0003-3546-203X","full_name":"Brandt, Sascha"},{"full_name":"Jähn, Claudius","first_name":"Claudius","last_name":"Jähn"},{"full_name":"Fischer, Matthias","first_name":"Matthias","last_name":"Fischer","id":"146"},{"full_name":"Meyer auf der Heide, Friedhelm","first_name":"Friedhelm","last_name":"Meyer auf der Heide","id":"15523"}],"date_updated":"2022-01-06T06:52:49Z","main_file_link":[{"open_access":"1"}],"_id":"16341","language":[{"iso":"eng"}],"user_id":"15415","publication":"arXiv:1904.08225","citation":{"ama":"Brandt S, Jähn C, Fischer M, Meyer auf der Heide F. Rendering of Complex Heterogenous Scenes using Progressive Blue Surfels. <i>arXiv:190408225</i>. 2019.","short":"S. Brandt, C. Jähn, M. Fischer, F. Meyer auf der Heide, ArXiv:1904.08225 (2019).","chicago":"Brandt, Sascha, Claudius Jähn, Matthias Fischer, and Friedhelm Meyer auf der Heide. “Rendering of Complex Heterogenous Scenes Using Progressive Blue Surfels.” <i>ArXiv:1904.08225</i>, 2019.","bibtex":"@article{Brandt_Jähn_Fischer_Meyer auf der Heide_2019, title={Rendering of Complex Heterogenous Scenes using Progressive Blue Surfels}, journal={arXiv:1904.08225}, author={Brandt, Sascha and Jähn, Claudius and Fischer, Matthias and Meyer auf der Heide, Friedhelm}, year={2019} }","mla":"Brandt, Sascha, et al. “Rendering of Complex Heterogenous Scenes Using Progressive Blue Surfels.” <i>ArXiv:1904.08225</i>, 2019.","apa":"Brandt, S., Jähn, C., Fischer, M., &#38; Meyer auf der Heide, F. (2019). Rendering of Complex Heterogenous Scenes using Progressive Blue Surfels. <i>ArXiv:1904.08225</i>.","ieee":"S. Brandt, C. Jähn, M. Fischer, and F. Meyer auf der Heide, “Rendering of Complex Heterogenous Scenes using Progressive Blue Surfels,” <i>arXiv:1904.08225</i>. 2019."},"abstract":[{"text":"We present a technique for rendering highly complex 3D scenes in real-time by\r\ngenerating uniformly distributed points on the scene's visible surfaces. The\r\ntechnique is applicable to a wide range of scene types, like scenes directly\r\nbased on complex and detailed CAD data consisting of billions of polygons (in\r\ncontrast to scenes handcrafted solely for visualization). This allows to\r\nvisualize such scenes smoothly even in VR on a HMD with good image quality,\r\nwhile maintaining the necessary frame-rates. In contrast to other point based\r\nrendering methods, we place points in an approximated blue noise distribution\r\nonly on visible surfaces and store them in a highly GPU efficient data\r\nstructure, allowing to progressively refine the number of rendered points to\r\nmaximize the image quality for a given target frame rate. Our evaluation shows\r\nthat scenes consisting of a high amount of polygons can be rendered with\r\ninteractive frame rates with good visual quality on standard hardware.","lang":"eng"}],"external_id":{"arxiv":["1904.08225"]},"date_created":"2020-03-24T08:59:44Z","type":"preprint","oa":"1","department":[{"_id":"63"}]},{"oa":"1","project":[{"name":"SFB 901 - Subproject C1","_id":"13"},{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area C","_id":"4"}],"supervisor":[{"id":"23","full_name":"Blömer, Johannes","first_name":"Johannes","last_name":"Blömer"}],"citation":{"ama":"Bröcher H. <i>Rational Secure Multiparty Computation</i>. Universität Paderborn; 2019.","bibtex":"@book{Bröcher_2019, title={Rational Secure Multiparty Computation}, publisher={Universität Paderborn}, author={Bröcher, Henrik}, year={2019} }","mla":"Bröcher, Henrik. <i>Rational Secure Multiparty Computation</i>. Universität Paderborn, 2019.","short":"H. Bröcher, Rational Secure Multiparty Computation, Universität Paderborn, 2019.","chicago":"Bröcher, Henrik. <i>Rational Secure Multiparty Computation</i>. Universität Paderborn, 2019.","apa":"Bröcher, H. (2019). <i>Rational Secure Multiparty Computation</i>. Universität Paderborn.","ieee":"H. Bröcher, <i>Rational Secure Multiparty Computation</i>. Universität Paderborn, 2019."},"file_date_updated":"2020-10-30T15:59:34Z","ddc":["000"],"user_id":"25078","publisher":"Universität Paderborn","_id":"13128","has_accepted_license":"1","status":"public","department":[{"_id":"64"}],"type":"mastersthesis","date_created":"2019-09-04T08:04:12Z","file":[{"file_id":"13129","content_type":"application/pdf","file_name":"thesis_broecher.pdf","file_size":746819,"access_level":"open_access","relation":"main_file","date_updated":"2020-10-30T15:59:34Z","date_created":"2019-09-04T07:59:31Z","creator":"bhenrik"}],"extern":"1","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:51:28Z","author":[{"first_name":"Henrik","last_name":"Bröcher","full_name":"Bröcher, Henrik","id":"41047"}],"title":"Rational Secure Multiparty Computation","year":"2019"},{"status":"public","conference":{"location":" Jyväskylä","name":"10th International Conference on Software Business","start_date":"2019-11-18","end_date":"2019-11-20"},"has_accepted_license":"1","page":"192-207","_id":"13138","publisher":"Springer International Publishing","ddc":["000"],"user_id":"47208","editor":[{"first_name":"Sami","last_name":"Hyrynsalmi","full_name":"Hyrynsalmi, Sami"},{"full_name":"Suoranta, Mari","first_name":"Mari","last_name":"Suoranta"},{"first_name":"Anh","last_name":"Nguyen-Duc","full_name":"Nguyen-Duc, Anh"},{"full_name":"Tyrväinen, Pasi","last_name":"Tyrväinen","first_name":"Pasi"},{"last_name":"Abrahamsson","first_name":"Pekka","full_name":"Abrahamsson, Pekka"}],"volume":370,"file_date_updated":"2019-12-06T13:47:25Z","citation":{"ama":"Gottschalk S, Rittmeier F, Engels G. Intertwined Development of Business Model and Product Functions for Mobile Applications: A Twin Peak Feature Modeling Approach. In: Hyrynsalmi S, Suoranta M, Nguyen-Duc A, Tyrväinen P, Abrahamsson P, eds. <i>Software Business</i>. Vol 370. Lecture Notes in Business Information Processing. Cham: Springer International Publishing; 2019:192-207. doi:<a href=\"https://doi.org/10.1007/978-3-030-33742-1_16\">10.1007/978-3-030-33742-1_16</a>","bibtex":"@inproceedings{Gottschalk_Rittmeier_Engels_2019, place={Cham}, series={Lecture Notes in Business Information Processing}, title={Intertwined Development of Business Model and Product Functions for Mobile Applications: A Twin Peak Feature Modeling Approach}, volume={370}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-33742-1_16\">10.1007/978-3-030-33742-1_16</a>}, number={1}, booktitle={Software Business}, publisher={Springer International Publishing}, author={Gottschalk, Sebastian and Rittmeier, Florian and Engels, Gregor}, editor={Hyrynsalmi, Sami and Suoranta, Mari and Nguyen-Duc, Anh and Tyrväinen, Pasi and Abrahamsson, PekkaEditors}, year={2019}, pages={192–207}, collection={Lecture Notes in Business Information Processing} }","mla":"Gottschalk, Sebastian, et al. “Intertwined Development of Business Model and Product Functions for Mobile Applications: A Twin Peak Feature Modeling Approach.” <i>Software Business</i>, edited by Sami Hyrynsalmi et al., vol. 370, no. 1, Springer International Publishing, 2019, pp. 192–207, doi:<a href=\"https://doi.org/10.1007/978-3-030-33742-1_16\">10.1007/978-3-030-33742-1_16</a>.","short":"S. Gottschalk, F. Rittmeier, G. Engels, in: S. Hyrynsalmi, M. Suoranta, A. Nguyen-Duc, P. Tyrväinen, P. Abrahamsson (Eds.), Software Business, Springer International Publishing, Cham, 2019, pp. 192–207.","chicago":"Gottschalk, Sebastian, Florian Rittmeier, and Gregor Engels. “Intertwined Development of Business Model and Product Functions for Mobile Applications: A Twin Peak Feature Modeling Approach.” In <i>Software Business</i>, edited by Sami Hyrynsalmi, Mari Suoranta, Anh Nguyen-Duc, Pasi Tyrväinen, and Pekka Abrahamsson, 370:192–207. Lecture Notes in Business Information Processing. Cham: Springer International Publishing, 2019. <a href=\"https://doi.org/10.1007/978-3-030-33742-1_16\">https://doi.org/10.1007/978-3-030-33742-1_16</a>.","apa":"Gottschalk, S., Rittmeier, F., &#38; Engels, G. (2019). Intertwined Development of Business Model and Product Functions for Mobile Applications: A Twin Peak Feature Modeling Approach. In S. Hyrynsalmi, M. Suoranta, A. Nguyen-Duc, P. Tyrväinen, &#38; P. Abrahamsson (Eds.), <i>Software Business</i> (Vol. 370, pp. 192–207). Cham: Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-030-33742-1_16\">https://doi.org/10.1007/978-3-030-33742-1_16</a>","ieee":"S. Gottschalk, F. Rittmeier, and G. Engels, “Intertwined Development of Business Model and Product Functions for Mobile Applications: A Twin Peak Feature Modeling Approach,” in <i>Software Business</i>,  Jyväskylä, 2019, vol. 370, no. 1, pp. 192–207."},"project":[{"_id":"1","name":"SFB 901"},{"_id":"4","name":"SFB 901 - Project Area C"},{"_id":"17","name":"SFB 901 - Subproject C5"}],"place":"Cham","oa":"1","year":"2019","title":"Intertwined Development of Business Model and Product Functions for Mobile Applications: A Twin Peak Feature Modeling Approach","publication_identifier":{"unknown":["978-3-030-33741-4"]},"author":[{"full_name":"Gottschalk, Sebastian","last_name":"Gottschalk","first_name":"Sebastian","id":"47208"},{"first_name":"Florian","last_name":"Rittmeier","full_name":"Rittmeier, Florian","id":"5281"},{"id":"107","first_name":"Gregor","last_name":"Engels","full_name":"Engels, Gregor"}],"date_updated":"2022-01-06T06:51:29Z","publication_status":"published","intvolume":"       370","main_file_link":[{"url":"https://link.springer.com/chapter/10.1007/978-3-030-33742-1_16"}],"language":[{"iso":"eng"}],"series_title":"Lecture Notes in Business Information Processing","doi":"10.1007/978-3-030-33742-1_16","publication":"Software Business","issue":"1","abstract":[{"text":"Mobile app stores like Apple's AppStore or Google's PlayStore are highly competitive markets for third-party developers wanting to develop successful applications. During the development process, many developers focus on the multitude of product functions but neglect the business model as an equally important part. As a result, developers often fail to meet customer needs, leading to unnecessary development costs and poor market penetration. This, in turn, raises the question of how we intertwine the business model and product functions during the development process to ensure a better alignment between the two.\r\nIn this paper, we show this intertwined development by adapting the concept of Twin Peaks to the business model and product functions. Based on feature modeling as an abstraction layer, we introduce the concept of a Business Model Decision Line (BMDL) to structure the business model decisions and their relation to product functions structured in a Software Product Line (SPL). The basis of our feature models is the analysis of top listed applications in the app stores of Apple and Google. To create and modify both models, we provide an incremental feature structuring and iterative feature selection process. This combination of abstraction layer and development process supports third-party developers to build successful applications both from a business and a product perspective. \r\n","lang":"eng"}],"file":[{"creator":"sego","date_created":"2019-11-14T14:48:42Z","date_updated":"2019-12-06T13:47:25Z","relation":"main_file","file_size":391814,"access_level":"open_access","file_name":"ICSOB.pdf","content_type":"application/pdf","file_id":"14989"}],"date_created":"2019-09-04T21:23:07Z","keyword":["Intertwined Development","Twin Peaks","Feature Model","Business Model","Product Functions"],"type":"conference","department":[{"_id":"66"}]},{"department":[{"_id":"360"},{"_id":"98"}],"oa":"1","type":"book_editor","date_created":"2019-09-05T12:13:20Z","place":"Paderborn","citation":{"ieee":"S. Rezat, L. Fan, M. Hattermann, J. Schumacher, and H. Wuschke, Eds., <i>Proceedings of the Third International Conference on Mathematics Textbook Research and Development: 16-19 September 2019 Paderborn, Germany</i>. Paderborn: Universitätsbibliothek Paderborn, 2019.","apa":"Rezat, S., Fan, L., Hattermann, M., Schumacher, J., &#38; Wuschke, H. (Eds.). (2019). <i>Proceedings of the Third International Conference on Mathematics Textbook Research and Development: 16-19 September 2019 Paderborn, Germany</i>. Presented at the Third International Conference on Mathematics Textbook Research and Development, Paderborn: Universitätsbibliothek Paderborn. <a href=\"https://doi.org/10.17619/UNIPB/1-768\">https://doi.org/10.17619/UNIPB/1-768</a>","chicago":"Rezat, Sebastian, Lianghuo Fan, Mathias Hattermann, Jan Schumacher, and Holger Wuschke, eds. <i>Proceedings of the Third International Conference on Mathematics Textbook Research and Development: 16-19 September 2019 Paderborn, Germany</i>. Paderborn: Universitätsbibliothek Paderborn, 2019. <a href=\"https://doi.org/10.17619/UNIPB/1-768\">https://doi.org/10.17619/UNIPB/1-768</a>.","short":"S. Rezat, L. Fan, M. Hattermann, J. Schumacher, H. Wuschke, eds., Proceedings of the Third International Conference on Mathematics Textbook Research and Development: 16-19 September 2019 Paderborn, Germany, Universitätsbibliothek Paderborn, Paderborn, 2019.","mla":"Rezat, Sebastian, et al., editors. <i>Proceedings of the Third International Conference on Mathematics Textbook Research and Development: 16-19 September 2019 Paderborn, Germany</i>. Universitätsbibliothek Paderborn, 2019, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-768\">10.17619/UNIPB/1-768</a>.","bibtex":"@book{Rezat_Fan_Hattermann_Schumacher_Wuschke_2019, place={Paderborn}, title={Proceedings of the Third International Conference on Mathematics Textbook Research and Development: 16-19 September 2019 Paderborn, Germany}, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-768\">10.17619/UNIPB/1-768</a>}, publisher={Universitätsbibliothek Paderborn}, year={2019} }","ama":"Rezat S, Fan L, Hattermann M, Schumacher J, Wuschke H, eds. <i>Proceedings of the Third International Conference on Mathematics Textbook Research and Development: 16-19 September 2019 Paderborn, Germany</i>. Paderborn: Universitätsbibliothek Paderborn; 2019. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-768\">10.17619/UNIPB/1-768</a>"},"editor":[{"last_name":"Rezat","first_name":"Sebastian","full_name":"Rezat, Sebastian"},{"last_name":"Fan","first_name":"Lianghuo","full_name":"Fan, Lianghuo"},{"full_name":"Hattermann, Mathias","first_name":"Mathias","last_name":"Hattermann"},{"orcid":"0000-0002-6676-9774","last_name":"Schumacher","first_name":"Jan","full_name":"Schumacher, Jan","id":"26809"},{"full_name":"Wuschke, Holger","first_name":"Holger","last_name":"Wuschke"}],"user_id":"26809","doi":"10.17619/UNIPB/1-768","publisher":"Universitätsbibliothek Paderborn","_id":"13139","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.17619/UNIPB/1-768"}],"page":"392","publication_status":"published","date_updated":"2022-01-06T06:51:29Z","conference":{"start_date":"2019-09-16","name":"Third International Conference on Mathematics Textbook Research and Development","location":"Paderborn","end_date":"2019-09-19"},"year":"2019","title":"Proceedings of the Third International Conference on Mathematics Textbook Research and Development: 16-19 September 2019 Paderborn, Germany","status":"public"},{"author":[{"full_name":"von Neumann, Thilo","last_name":"von Neumann","first_name":"Thilo"},{"full_name":"Kinoshita, Keisuke","last_name":"Kinoshita","first_name":"Keisuke"},{"full_name":"Delcroix, Marc","first_name":"Marc","last_name":"Delcroix"},{"last_name":"Araki","first_name":"Shoko","full_name":"Araki, Shoko"},{"first_name":"Tomohiro","last_name":"Nakatani","full_name":"Nakatani, Tomohiro"},{"first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold","id":"242"}],"year":"2019","title":"All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis","status":"public","has_accepted_license":"1","date_updated":"2022-01-06T06:51:31Z","_id":"13271","language":[{"iso":"eng"}],"user_id":"59789","ddc":["000"],"citation":{"chicago":"Neumann, Thilo von, Keisuke Kinoshita, Marc Delcroix, Shoko Araki, Tomohiro Nakatani, and Reinhold Haeb-Umbach. “All-Neural Online Source Separation, Counting, and Diarization for Meeting Analysis.” In <i>ICASSP 2019, Brighton, UK</i>, 2019.","short":"T. von Neumann, K. Kinoshita, M. Delcroix, S. Araki, T. Nakatani, R. Haeb-Umbach, in: ICASSP 2019, Brighton, UK, 2019.","ama":"von Neumann T, Kinoshita K, Delcroix M, Araki S, Nakatani T, Haeb-Umbach R. All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis. In: <i>ICASSP 2019, Brighton, UK</i>. ; 2019.","bibtex":"@inproceedings{von Neumann_Kinoshita_Delcroix_Araki_Nakatani_Haeb-Umbach_2019, title={All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis}, booktitle={ICASSP 2019, Brighton, UK}, author={von Neumann, Thilo and Kinoshita, Keisuke and Delcroix, Marc and Araki, Shoko and Nakatani, Tomohiro and Haeb-Umbach, Reinhold}, year={2019} }","apa":"von Neumann, T., Kinoshita, K., Delcroix, M., Araki, S., Nakatani, T., &#38; Haeb-Umbach, R. (2019). All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis. In <i>ICASSP 2019, Brighton, UK</i>.","mla":"von Neumann, Thilo, et al. “All-Neural Online Source Separation, Counting, and Diarization for Meeting Analysis.” <i>ICASSP 2019, Brighton, UK</i>, 2019.","ieee":"T. von Neumann, K. Kinoshita, M. Delcroix, S. Araki, T. Nakatani, and R. Haeb-Umbach, “All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis,” in <i>ICASSP 2019, Brighton, UK</i>, 2019."},"file_date_updated":"2019-09-19T07:05:57Z","publication":"ICASSP 2019, Brighton, UK","abstract":[{"lang":"eng","text":"Automatic meeting analysis comprises the tasks of speaker counting, speaker diarization, and the separation of overlapped speech, followed by automatic speech recognition. This all has to be carried out on arbitrarily long sessions and, ideally, in an online or block-online manner. While significant progress has been made on individual tasks, this paper presents for the first time an all-neural approach to simultaneous speaker counting, diarization and source separation. The NN-based estimator operates in a block-online fashion and tracks speakers even if they remain silent for a number of time blocks, thus learning a stable output order for the separated sources. The neural network is recurrent over time as well as over the number of sources. The simulation experiments show that state of the art separation performance is achieved, while at the same time delivering good diarization and source counting results. It even generalizes well to an unseen large number of blocks."}],"date_created":"2019-09-18T08:20:50Z","file":[{"file_id":"13272","content_type":"application/pdf","file_name":"ICASSP_2019_Neumann_Paper.pdf","access_level":"open_access","file_size":126453,"relation":"main_file","date_updated":"2019-09-19T07:05:57Z","date_created":"2019-09-18T08:28:39Z","creator":"huesera"}],"department":[{"_id":"54"}],"oa":"1","type":"conference"},{"publication":"IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Demo Track","abstract":[{"lang":"eng","text":"Building on 5G and network function virtualization (NFV), smart manufacturing has the potential to drastically increase productivity, reduce cost, and introduce novel, flexible manufacturing services. Current work mostly focuses on high-level scenarios or emulation-based prototype deployments. \r\n\r\nExtending our previous work, we showcase one of the first cloud-native 5G verticals focusing on the deployment of smart manufacturing use cases on production infrastructure. In particular, we use the 5GTANGO service platform to deploy our developed network services on Kubernetes. For this demo, we implemented a series of cloud-native virtualized network functions (VNFs) and created suitable service descriptors. Their light-weight, stateless deployment on Kubernetes enables quick instantiation, scalability, and robustness."}],"date_created":"2019-09-19T07:17:46Z","file":[{"creator":"stschn","date_created":"2019-09-19T07:17:41Z","date_updated":"2019-09-19T07:17:41Z","relation":"main_file","file_size":182136,"access_level":"open_access","file_name":"preprint_ris.pdf","content_type":"application/pdf","file_id":"13293"}],"department":[{"_id":"75"}],"keyword":["5G","NFV","Smart Manufacturing","Cloud-Native","Kubernetes"],"type":"conference","author":[{"full_name":"Schneider, Stefan Balthasar","first_name":"Stefan Balthasar","orcid":"0000-0001-8210-4011","last_name":"Schneider","id":"35343"},{"id":"13271","full_name":"Peuster, Manuel","first_name":"Manuel","last_name":"Peuster"},{"full_name":"Hannemann, Kai","first_name":"Kai","last_name":"Hannemann"},{"first_name":"Daniel","last_name":"Behnke","full_name":"Behnke, Daniel"},{"last_name":"Müller","first_name":"Marcel","full_name":"Müller, Marcel"},{"first_name":"Patrick-Benjamin","last_name":"Bök","full_name":"Bök, Patrick-Benjamin"},{"last_name":"Karl","first_name":"Holger","full_name":"Karl, Holger","id":"126"}],"title":"\"Producing Cloud-Native\": Smart Manufacturing Use Cases on Kubernetes","year":"2019","date_updated":"2022-01-06T06:51:32Z","language":[{"iso":"eng"}],"citation":{"apa":"Schneider, S. B., Peuster, M., Hannemann, K., Behnke, D., Müller, M., Bök, P.-B., &#38; Karl, H. (2019). “Producing Cloud-Native”: Smart Manufacturing Use Cases on Kubernetes. In <i>IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Demo Track</i>. Dallas, TX, USA: IEEE.","ieee":"S. B. Schneider <i>et al.</i>, “‘Producing Cloud-Native’: Smart Manufacturing Use Cases on Kubernetes,” in <i>IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Demo Track</i>, Dallas, TX, USA, 2019.","chicago":"Schneider, Stefan Balthasar, Manuel Peuster, Kai Hannemann, Daniel Behnke, Marcel Müller, Patrick-Benjamin Bök, and Holger Karl. “‘Producing Cloud-Native’: Smart Manufacturing Use Cases on Kubernetes.” In <i>IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Demo Track</i>. Dallas, TX, USA: IEEE, 2019.","short":"S.B. Schneider, M. Peuster, K. Hannemann, D. Behnke, M. Müller, P.-B. Bök, H. Karl, in: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Demo Track, IEEE, Dallas, TX, USA, 2019.","mla":"Schneider, Stefan Balthasar, et al. “‘Producing Cloud-Native’: Smart Manufacturing Use Cases on Kubernetes.” <i>IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Demo Track</i>, IEEE, 2019.","ama":"Schneider SB, Peuster M, Hannemann K, et al. “Producing Cloud-Native”: Smart Manufacturing Use Cases on Kubernetes. In: <i>IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Demo Track</i>. Dallas, TX, USA: IEEE; 2019.","bibtex":"@inproceedings{Schneider_Peuster_Hannemann_Behnke_Müller_Bök_Karl_2019, place={Dallas, TX, USA}, title={“Producing Cloud-Native”: Smart Manufacturing Use Cases on Kubernetes}, booktitle={IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Demo Track}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Peuster, Manuel and Hannemann, Kai and Behnke, Daniel and Müller, Marcel and Bök, Patrick-Benjamin and Karl, Holger}, year={2019} }"},"file_date_updated":"2019-09-19T07:17:41Z","project":[{"_id":"1","name":"SFB 901"},{"_id":"4","name":"SFB 901 - Project Area C"},{"_id":"16","name":"SFB 901 - Subproject C4"},{"name":"5G Development and validation platform for global industry-specific network services and Apps","_id":"28","grant_number":"761493"}],"place":"Dallas, TX, USA","oa":"1","conference":{"location":"Dallas, TX, USA","name":"2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Demo Track"},"status":"public","has_accepted_license":"1","publisher":"IEEE","_id":"13292","ddc":["000"],"user_id":"35343"},{"publication":"Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems","abstract":[{"text":"This work considers the problem of control and resource allocation in networked\r\nsystems. To this end, we present DIRA a Deep reinforcement learning based Iterative Resource\r\nAllocation algorithm, which is scalable and control-aware. Our algorithm is tailored towards\r\nlarge-scale problems where control and scheduling need to act jointly to optimize performance.\r\nDIRA can be used to schedule general time-domain optimization based controllers. In the present\r\nwork, we focus on control designs based on suitably adapted linear quadratic regulators. We\r\napply our algorithm to networked systems with correlated fading communication channels. Our\r\nsimulations show that DIRA scales well to large scheduling problems.","lang":"eng"}],"date_created":"2019-09-23T16:00:58Z","file":[{"creator":"aredder","date_created":"2019-09-23T15:48:33Z","file_name":"ifacconf.pdf","file_size":371429,"access_level":"local","relation":"main_file","date_updated":"2019-09-23T16:21:16Z","file_id":"13444","content_type":"application/pdf"}],"type":"conference","keyword":["Networked control systems","deep reinforcement learning","large-scale systems","resource scheduling","stochastic control"],"author":[{"id":"52265","full_name":"Redder, Adrian","last_name":"Redder","orcid":"https://orcid.org/0000-0001-7391-4688","first_name":"Adrian"},{"full_name":"Ramaswamy, Arunselvan","last_name":"Ramaswamy","first_name":"Arunselvan","orcid":"https://orcid.org/ 0000-0001-7547-8111","id":"66937"},{"first_name":"Daniel","last_name":"Quevedo","full_name":"Quevedo, Daniel"}],"year":"2019","title":"Deep reinforcement learning for scheduling in large-scale networked control systems","publication_status":"published","date_updated":"2022-01-06T06:51:36Z","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://arxiv.org/abs/1905.05992","open_access":"1"}],"citation":{"ieee":"A. Redder, A. Ramaswamy, and D. Quevedo, “Deep reinforcement learning for scheduling in large-scale networked control systems,” in <i>Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems</i>, Chicago, USA, 2019.","apa":"Redder, A., Ramaswamy, A., &#38; Quevedo, D. (2019). Deep reinforcement learning for scheduling in large-scale networked control systems. In <i>Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems</i>. Chicago, USA.","chicago":"Redder, Adrian, Arunselvan Ramaswamy, and Daniel Quevedo. “Deep Reinforcement Learning for Scheduling in Large-Scale Networked Control Systems.” In <i>Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems</i>, 2019.","short":"A. Redder, A. Ramaswamy, D. Quevedo, in: Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2019.","mla":"Redder, Adrian, et al. “Deep Reinforcement Learning for Scheduling in Large-Scale Networked Control Systems.” <i>Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems</i>, 2019.","bibtex":"@inproceedings{Redder_Ramaswamy_Quevedo_2019, title={Deep reinforcement learning for scheduling in large-scale networked control systems}, booktitle={Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems}, author={Redder, Adrian and Ramaswamy, Arunselvan and Quevedo, Daniel}, year={2019} }","ama":"Redder A, Ramaswamy A, Quevedo D. Deep reinforcement learning for scheduling in large-scale networked control systems. In: <i>Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems</i>. ; 2019."},"file_date_updated":"2019-09-23T16:21:16Z","project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"oa":"1","conference":{"end_date":"2019-09-17","location":"Chicago, USA","start_date":"2019-09-16","name":"8th IFAC Workshop on Distributed Estimation and Control in Networked Systems - NECSYS 2019"},"status":"public","has_accepted_license":"1","_id":"13443","user_id":"52265","ddc":["620"]},{"oa":"1","department":[{"_id":"355"}],"type":"conference","date_created":"2019-06-11T21:33:06Z","file":[{"file_size":388191,"access_level":"open_access","file_name":"Automating_MultiLabel_Classification_Extending_ML-Plan.pdf","date_updated":"2019-09-10T08:20:44Z","relation":"main_file","content_type":"application/pdf","file_id":"13177","creator":"wever","date_created":"2019-09-10T08:19:01Z"}],"project":[{"_id":"1","name":"SFB 901"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"10","name":"SFB 901 - Subproject B2"},{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"abstract":[{"text":"Existing tools for automated machine learning, such as Auto-WEKA, TPOT, auto-sklearn, and more recently ML-Plan, have shown impressive results for the tasks of single-label classification and regression. Yet, there is only little work on other types of machine learning problems so far. In particular, there is almost no work on automating the engineering of machine learning solutions for multi-label classification (MLC). We show how the scope of ML-Plan, an AutoML-tool for multi-class classification, can be extended towards MLC using MEKA, which is a multi-label extension of the well-known Java library WEKA. The resulting approach recursively refines MEKA's multi-label classifiers, nesting other multi-label classifiers for meta algorithms and single-label classifiers provided by WEKA as base learners. In our evaluation, we find that the proposed approach yields strong results and performs significantly better than a set of baselines we compare with.","lang":"eng"}],"citation":{"chicago":"Wever, Marcel Dominik, Felix Mohr, Alexander Tornede, and Eyke Hüllermeier. “Automating Multi-Label Classification Extending ML-Plan,” 2019.","ama":"Wever MD, Mohr F, Tornede A, Hüllermeier E. Automating Multi-Label Classification Extending ML-Plan. In: ; 2019.","short":"M.D. Wever, F. Mohr, A. Tornede, E. Hüllermeier, in: 2019.","bibtex":"@inproceedings{Wever_Mohr_Tornede_Hüllermeier_2019, title={Automating Multi-Label Classification Extending ML-Plan}, author={Wever, Marcel Dominik and Mohr, Felix and Tornede, Alexander and Hüllermeier, Eyke}, year={2019} }","apa":"Wever, M. D., Mohr, F., Tornede, A., &#38; Hüllermeier, E. (2019). Automating Multi-Label Classification Extending ML-Plan. Presented at the 6th ICML Workshop on Automated Machine Learning (AutoML 2019), Long Beach, CA, USA.","mla":"Wever, Marcel Dominik, et al. <i>Automating Multi-Label Classification Extending ML-Plan</i>. 2019.","ieee":"M. D. Wever, F. Mohr, A. Tornede, and E. 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Lin, L. Huang, R. Zhao, Q. Wei, T. Zentgraf, Y. Wang, X. Li, Optics Express 27 (2019) 18740–18750.","chicago":"Lin, Zemeng, Lingling Huang, Ruizhe Zhao, Qunshuo Wei, Thomas Zentgraf, Yongtian Wang, and Xiaowei Li. “Dynamic Control of Mode Modulation and Spatial Multiplexing Using Hybrid Metasurfaces.” <i>Optics Express</i> 27, no. 13 (2019): 18740–50. <a href=\"https://doi.org/10.1364/oe.27.018740\">https://doi.org/10.1364/oe.27.018740</a>.","apa":"Lin, Z., Huang, L., Zhao, R., Wei, Q., Zentgraf, T., Wang, Y., &#38; Li, X. (2019). Dynamic control of mode modulation and spatial multiplexing using hybrid metasurfaces. <i>Optics Express</i>, <i>27</i>(13), 18740–18750. <a href=\"https://doi.org/10.1364/oe.27.018740\">https://doi.org/10.1364/oe.27.018740</a>","ieee":"Z. Lin <i>et al.</i>, “Dynamic control of mode modulation and spatial multiplexing using hybrid metasurfaces,” <i>Optics Express</i>, vol. 27, no. 13, pp. 18740–18750, 2019.","ama":"Lin Z, Huang L, Zhao R, et al. 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