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ProcessNet-Fachgruppe Computational Fluid Dynamics, 2019."},"type":"conference_abstract","department":[{"_id":"9"},{"_id":"145"}],"date_created":"2019-09-20T09:16:42Z","place":"Frankfurt","date_updated":"2022-01-06T06:51:34Z","year":"2019","status":"public","title":"Reduktion von parasitären Strömungen in Mehrphasensimulationen durch Verwendung der Height-Function Methode","author":[{"full_name":"Zibart, Alexander","first_name":"Alexander","last_name":"Zibart"},{"full_name":"Kenig, Eugeny","first_name":"Eugeny","last_name":"Kenig","id":"665"}],"conference":{"name":"ProcessNet-Fachgruppe Computational Fluid Dynamics","location":"Frankfurt"},"user_id":"29891","_id":"13399","publisher":"ProcessNet-Fachgruppe Computational Fluid Dynamics","language":[{"iso":"eng"}]},{"doi":"10.1016/b978-0-12-818634-3.50138-7","user_id":"29891","publisher":"29th European Symposium on Computer Aided Process Engineering","_id":"13442","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:51:36Z","publication_status":"published","publication_identifier":{"isbn":["9780128186343"],"issn":["1570-7946"]},"author":[{"full_name":"Manavi, Seyed Alborz","first_name":"Seyed Alborz","last_name":"Manavi"},{"full_name":"Kenig, Eugeny","first_name":"Eugeny","last_name":"Kenig","id":"665"}],"status":"public","title":"Numerical Simulation of Forced Convection in a Microchannel with Realistic Roughness of 3D Printed Surface","year":"2019","department":[{"_id":"9"},{"_id":"145"}],"type":"conference","place":"Eindhoven, Netherlands","date_created":"2019-09-23T07:06:11Z","project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"citation":{"mla":"Manavi, Seyed Alborz, and Eugeny Kenig. “Numerical Simulation of Forced Convection in a Microchannel with Realistic Roughness of 3D Printed Surface.” <i>Computer Aided Chemical Engineering</i>, 29th European Symposium on Computer Aided Process Engineering, 2019, doi:<a href=\"https://doi.org/10.1016/b978-0-12-818634-3.50138-7\">10.1016/b978-0-12-818634-3.50138-7</a>.","bibtex":"@inproceedings{Manavi_Kenig_2019, place={Eindhoven, Netherlands}, title={Numerical Simulation of Forced Convection in a Microchannel with Realistic Roughness of 3D Printed Surface}, DOI={<a href=\"https://doi.org/10.1016/b978-0-12-818634-3.50138-7\">10.1016/b978-0-12-818634-3.50138-7</a>}, booktitle={Computer Aided Chemical Engineering}, publisher={29th European Symposium on Computer Aided Process Engineering}, author={Manavi, Seyed Alborz and Kenig, Eugeny}, year={2019} }","ama":"Manavi SA, Kenig E. Numerical Simulation of Forced Convection in a Microchannel with Realistic Roughness of 3D Printed Surface. In: <i>Computer Aided Chemical Engineering</i>. Eindhoven, Netherlands: 29th European Symposium on Computer Aided Process Engineering; 2019. doi:<a href=\"https://doi.org/10.1016/b978-0-12-818634-3.50138-7\">10.1016/b978-0-12-818634-3.50138-7</a>","ieee":"S. A. Manavi and E. Kenig, “Numerical Simulation of Forced Convection in a Microchannel with Realistic Roughness of 3D Printed Surface,” in <i>Computer Aided Chemical Engineering</i>, 2019.","apa":"Manavi, S. A., &#38; Kenig, E. (2019). Numerical Simulation of Forced Convection in a Microchannel with Realistic Roughness of 3D Printed Surface. In <i>Computer Aided Chemical Engineering</i>. Eindhoven, Netherlands: 29th European Symposium on Computer Aided Process Engineering. <a href=\"https://doi.org/10.1016/b978-0-12-818634-3.50138-7\">https://doi.org/10.1016/b978-0-12-818634-3.50138-7</a>","chicago":"Manavi, Seyed Alborz, and Eugeny Kenig. “Numerical Simulation of Forced Convection in a Microchannel with Realistic Roughness of 3D Printed Surface.” In <i>Computer Aided Chemical Engineering</i>. Eindhoven, Netherlands: 29th European Symposium on Computer Aided Process Engineering, 2019. <a href=\"https://doi.org/10.1016/b978-0-12-818634-3.50138-7\">https://doi.org/10.1016/b978-0-12-818634-3.50138-7</a>.","short":"S.A. Manavi, E. Kenig, in: Computer Aided Chemical Engineering, 29th European Symposium on Computer Aided Process Engineering, Eindhoven, Netherlands, 2019."},"publication":"Computer Aided Chemical Engineering"},{"_id":"13443","user_id":"52265","ddc":["620"],"status":"public","conference":{"name":"8th IFAC Workshop on Distributed Estimation and Control in Networked Systems - NECSYS 2019","start_date":"2019-09-16","location":"Chicago, USA","end_date":"2019-09-17"},"has_accepted_license":"1","oa":"1","file_date_updated":"2019-09-23T16:21:16Z","citation":{"short":"A. Redder, A. Ramaswamy, D. Quevedo, in: Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2019.","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.","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.","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.","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.","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} }","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."},"project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"main_file_link":[{"url":"https://arxiv.org/abs/1905.05992","open_access":"1"}],"language":[{"iso":"eng"}],"year":"2019","title":"Deep reinforcement learning for scheduling in large-scale networked control systems","author":[{"full_name":"Redder, Adrian","last_name":"Redder","orcid":"https://orcid.org/0000-0001-7391-4688","first_name":"Adrian","id":"52265"},{"id":"66937","full_name":"Ramaswamy, Arunselvan","first_name":"Arunselvan","orcid":"https://orcid.org/ 0000-0001-7547-8111","last_name":"Ramaswamy"},{"full_name":"Quevedo, Daniel","last_name":"Quevedo","first_name":"Daniel"}],"publication_status":"published","date_updated":"2022-01-06T06:51:36Z","file":[{"creator":"aredder","date_created":"2019-09-23T15:48:33Z","relation":"main_file","date_updated":"2019-09-23T16:21:16Z","file_name":"ifacconf.pdf","file_size":371429,"access_level":"local","file_id":"13444","content_type":"application/pdf"}],"date_created":"2019-09-23T16:00:58Z","type":"conference","keyword":["Networked control systems","deep reinforcement learning","large-scale systems","resource scheduling","stochastic control"],"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_updated":"2022-01-06T06:50:33Z","has_accepted_license":"1","title":"Automating Multi-Label Classification Extending ML-Plan","year":"2019","status":"public","conference":{"name":"6th ICML Workshop on Automated Machine Learning (AutoML 2019)","start_date":"2019-06-09","location":"Long Beach, CA, USA","end_date":"2019-06-15"},"author":[{"last_name":"Wever","first_name":"Marcel Dominik","orcid":" https://orcid.org/0000-0001-9782-6818","full_name":"Wever, Marcel Dominik","id":"33176"},{"full_name":"Mohr, Felix","first_name":"Felix","last_name":"Mohr"},{"id":"38209","full_name":"Tornede, Alexander","first_name":"Alexander","last_name":"Tornede"},{"id":"48129","first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke"}],"ddc":["006"],"user_id":"33176","_id":"10232","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","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."}],"project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - Subproject B2","_id":"10"},{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"file_date_updated":"2019-09-10T08:20:44Z","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} }","mla":"Wever, Marcel Dominik, et al. <i>Automating Multi-Label Classification Extending ML-Plan</i>. 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.","ieee":"M. D. Wever, F. Mohr, A. Tornede, and E. Hüllermeier, “Automating Multi-Label Classification Extending ML-Plan,” presented at the 6th ICML Workshop on Automated Machine Learning (AutoML 2019), Long Beach, CA, USA, 2019."},"type":"conference","oa":"1","department":[{"_id":"355"}],"file":[{"date_created":"2019-09-10T08:19:01Z","creator":"wever","file_id":"13177","content_type":"application/pdf","file_name":"Automating_MultiLabel_Classification_Extending_ML-Plan.pdf","access_level":"open_access","file_size":388191,"relation":"main_file","date_updated":"2019-09-10T08:20:44Z"}],"date_created":"2019-06-11T21:33:06Z"},{"alternative_title":["Quantifying frequency-dependent absorption phenomena"],"doi":"10.1121/2.0001043","user_id":"11829","_id":"13647","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:51:40Z","publication_status":"published","conference":{"end_date":"2019-09-06","start_date":"2019-09-03","name":"2019 International Congress on Ultrasonics","location":"Bruges"},"author":[{"full_name":"Claes, Leander","last_name":"Claes","first_name":"Leander","orcid":"0000-0002-4393-268X","id":"11829"},{"id":"29190","full_name":"Johannesmann, Sarah","last_name":"Johannesmann","first_name":"Sarah"},{"full_name":"Baumhögger, Elmar","first_name":"Elmar","last_name":"Baumhögger","id":"15164"},{"id":"213","full_name":"Henning, Bernd","first_name":"Bernd","last_name":"Henning"}],"title":"Quantification of frequency-dependent absorption phenomena","status":"public","year":"2019","department":[{"_id":"49"}],"type":"conference","date_created":"2019-10-07T07:16:11Z","project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"quality_controlled":"1","citation":{"ieee":"L. Claes, S. Johannesmann, E. Baumhögger, and B. Henning, “Quantification of frequency-dependent absorption phenomena,” in <i>2019 International Congress on Ultrasonics</i>, Bruges, 2019.","apa":"Claes, L., Johannesmann, S., Baumhögger, E., &#38; Henning, B. (2019). Quantification of frequency-dependent absorption phenomena. In <i>2019 International Congress on Ultrasonics</i>. Bruges. <a href=\"https://doi.org/10.1121/2.0001043\">https://doi.org/10.1121/2.0001043</a>","chicago":"Claes, Leander, Sarah Johannesmann, Elmar Baumhögger, and Bernd Henning. “Quantification of Frequency-Dependent Absorption Phenomena.” In <i>2019 International Congress on Ultrasonics</i>, 2019. <a href=\"https://doi.org/10.1121/2.0001043\">https://doi.org/10.1121/2.0001043</a>.","short":"L. Claes, S. Johannesmann, E. Baumhögger, B. Henning, in: 2019 International Congress on Ultrasonics, 2019.","mla":"Claes, Leander, et al. “Quantification of Frequency-Dependent Absorption Phenomena.” <i>2019 International Congress on Ultrasonics</i>, 2019, doi:<a href=\"https://doi.org/10.1121/2.0001043\">10.1121/2.0001043</a>.","bibtex":"@inproceedings{Claes_Johannesmann_Baumhögger_Henning_2019, title={Quantification of frequency-dependent absorption phenomena}, DOI={<a href=\"https://doi.org/10.1121/2.0001043\">10.1121/2.0001043</a>}, booktitle={2019 International Congress on Ultrasonics}, author={Claes, Leander and Johannesmann, Sarah and Baumhögger, Elmar and Henning, Bernd}, year={2019} }","ama":"Claes L, Johannesmann S, Baumhögger E, Henning B. Quantification of frequency-dependent absorption phenomena. In: <i>2019 International Congress on Ultrasonics</i>. ; 2019. doi:<a href=\"https://doi.org/10.1121/2.0001043\">10.1121/2.0001043</a>"},"publication":"2019 International Congress on Ultrasonics"},{"abstract":[{"text":"The behavior of alkali atom point defects in polycrystalline CuInSe2 is studied. In this work, three grain boundary models, one coherent twin boundary and two twin boundaries with dislocation cores, are considered. Total energy calculations show that all alkali metals tend to segregate at the grain boundaries. In addition, the segregation of alkali atoms is more pronounced at the grain boundaries with the dislocation cores. The diffusion of alkali metals along and near grain boundaries is studied as well. The results show that the diffusion of alkali atoms in the grain boundary models is faster than within the bulk. In addition, the ion exchange between Na and Rb atoms at the grain boundaries leads to the Rb enrichment at the grain boundaries and the increase of the Na concentration in the bulk. While the effects of Na and Rb point defects on the electronic structure of the grain boundary with the anion-core dislocation are similar, Rb atoms passivate the grain boundary with the cation-core dislocation more effectively than Na. This can explain the further improvement of the solar cell performance after the RbF-postdeposition treatment.","lang":"eng"}],"issue":"16","publication":"ACS Applied Materials & Interfaces","type":"journal_article","department":[{"_id":"304"}],"date_created":"2019-09-16T10:18:18Z","date_updated":"2022-07-21T09:45:19Z","publication_status":"published","intvolume":"        11","article_type":"original","year":"2019","title":"Diffusion of Alkali Metals in Polycrystalline CuInSe2 and Their Role in the Passivation of Grain Boundaries","author":[{"first_name":"Manjusha","last_name":" Chugh","full_name":" Chugh, Manjusha"},{"first_name":" Thomas D.","last_name":"Kühne","full_name":"Kühne,  Thomas D."},{"id":"71051","first_name":"Hossein","orcid":"https://orcid.org/0000-0001-6179-1545","last_name":"Mirhosseini","full_name":"Mirhosseini, Hossein"}],"doi":"10.1021/acsami.9b02158","language":[{"iso":"eng"}],"project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"citation":{"ama":"Chugh M, Kühne  Thomas D., Mirhosseini H. Diffusion of Alkali Metals in Polycrystalline CuInSe2 and Their Role in the Passivation of Grain Boundaries. <i>ACS Applied Materials &#38; Interfaces</i>. 2019;11(16):14821−14829. doi:<a href=\"https://doi.org/10.1021/acsami.9b02158\">10.1021/acsami.9b02158</a>","bibtex":"@article{ Chugh_Kühne_Mirhosseini_2019, title={Diffusion of Alkali Metals in Polycrystalline CuInSe2 and Their Role in the Passivation of Grain Boundaries}, volume={11}, DOI={<a href=\"https://doi.org/10.1021/acsami.9b02158\">10.1021/acsami.9b02158</a>}, number={16}, journal={ACS Applied Materials &#38; Interfaces}, publisher={American Chemical Society}, author={ Chugh, Manjusha and Kühne,  Thomas D. and Mirhosseini, Hossein}, year={2019}, pages={14821−14829} }","mla":"Chugh, Manjusha, et al. “Diffusion of Alkali Metals in Polycrystalline CuInSe2 and Their Role in the Passivation of Grain Boundaries.” <i>ACS Applied Materials &#38; Interfaces</i>, vol. 11, no. 16, American Chemical Society, 2019, p. 14821−14829, doi:<a href=\"https://doi.org/10.1021/acsami.9b02158\">10.1021/acsami.9b02158</a>.","short":"M.  Chugh,  Thomas D. Kühne, H. Mirhosseini, ACS Applied Materials &#38; Interfaces 11 (2019) 14821−14829.","chicago":"Chugh, Manjusha,  Thomas D. Kühne, and Hossein Mirhosseini. “Diffusion of Alkali Metals in Polycrystalline CuInSe2 and Their Role in the Passivation of Grain Boundaries.” <i>ACS Applied Materials &#38; Interfaces</i> 11, no. 16 (2019): 14821−14829. <a href=\"https://doi.org/10.1021/acsami.9b02158\">https://doi.org/10.1021/acsami.9b02158</a>.","apa":"Chugh, M., Kühne,  Thomas D., &#38; Mirhosseini, H. (2019). Diffusion of Alkali Metals in Polycrystalline CuInSe2 and Their Role in the Passivation of Grain Boundaries. <i>ACS Applied Materials &#38; Interfaces</i>, <i>11</i>(16), 14821−14829. <a href=\"https://doi.org/10.1021/acsami.9b02158\">https://doi.org/10.1021/acsami.9b02158</a>","ieee":"M.  Chugh,  Thomas D. Kühne, and H. Mirhosseini, “Diffusion of Alkali Metals in Polycrystalline CuInSe2 and Their Role in the Passivation of Grain Boundaries,” <i>ACS Applied Materials &#38; Interfaces</i>, vol. 11, no. 16, p. 14821−14829, 2019, doi: <a href=\"https://doi.org/10.1021/acsami.9b02158\">10.1021/acsami.9b02158</a>."},"status":"public","user_id":"71051","volume":11,"page":"14821−14829","_id":"13230","publisher":"American Chemical Society"},{"author":[{"id":"34851","last_name":"Ebbers","first_name":"Janek","full_name":"Ebbers, Janek"},{"id":"242","last_name":"Haeb-Umbach","first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold"}],"year":"2019","title":"Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision","date_updated":"2023-11-22T08:30:12Z","language":[{"iso":"eng"}],"publication":"DCASE2019 Workshop, New York, USA","abstract":[{"text":"In this paper we present our audio tagging system for the DCASE 2019 Challenge Task 2. We propose a model consisting of a convolutional front end using log-mel-energies as input features, a recurrent neural network sequence encoder and a fully connected classifier network outputting an activity probability for each of the 80 considered event classes. Due to the recurrent neural network, which encodes a whole sequence into a single vector, our model is able to process sequences of varying lengths. The model is trained with only little manually labeled training data and a larger amount of automatically labeled web data, which hence suffers from label noise. To efficiently train the model with the provided data we use various data augmentation to prevent overfitting and improve generalization. Our best submitted system achieves a label-weighted label-ranking average precision (lwlrap) of 75.5% on the private test set which is an absolute improvement of 21.7% over the baseline. This system scored the second place in the teams ranking of the DCASE 2019 Challenge Task 2 and the fifth place in the Kaggle competition “Freesound Audio Tagging 2019” with more than 400 participants. After the challenge ended we further improved performance to 76.5% lwlrap setting a new state-of-the-art on this dataset.","lang":"eng"}],"date_created":"2020-02-05T10:16:03Z","file":[{"creator":"huesera","date_created":"2020-02-05T10:18:06Z","relation":"main_file","date_updated":"2020-02-05T10:18:06Z","file_name":"DCASE_2019_WS_Ebbers_Paper.pdf","access_level":"open_access","file_size":184967,"file_id":"15795","content_type":"application/pdf"}],"department":[{"_id":"54"}],"type":"conference","status":"public","has_accepted_license":"1","_id":"15794","user_id":"34851","ddc":["000"],"citation":{"short":"J. Ebbers, R. Haeb-Umbach, in: DCASE2019 Workshop, New York, USA, 2019.","chicago":"Ebbers, Janek, and Reinhold Haeb-Umbach. “Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision.” In <i>DCASE2019 Workshop, New York, USA</i>, 2019.","ieee":"J. Ebbers and R. Haeb-Umbach, “Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision,” 2019.","apa":"Ebbers, J., &#38; Haeb-Umbach, R. (2019). Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision. <i>DCASE2019 Workshop, New York, USA</i>.","bibtex":"@inproceedings{Ebbers_Haeb-Umbach_2019, title={Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision}, booktitle={DCASE2019 Workshop, New York, USA}, author={Ebbers, Janek and Haeb-Umbach, Reinhold}, year={2019} }","ama":"Ebbers J, Haeb-Umbach R. Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision. In: <i>DCASE2019 Workshop, New York, USA</i>. ; 2019.","mla":"Ebbers, Janek, and Reinhold Haeb-Umbach. “Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision.” <i>DCASE2019 Workshop, New York, USA</i>, 2019."},"file_date_updated":"2020-02-05T10:18:06Z","project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"quality_controlled":"1","oa":"1"},{"has_accepted_license":"1","status":"public","user_id":"34851","ddc":["000"],"_id":"15796","quality_controlled":"1","project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"file_date_updated":"2020-02-05T10:21:39Z","citation":{"bibtex":"@inproceedings{Ebbers_Drude_Haeb-Umbach_Brendel_Kellermann_2019, title={Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks}, booktitle={CAMSAP 2019, Guadeloupe, West Indies}, author={Ebbers, Janek and Drude, Lukas and Haeb-Umbach, Reinhold and Brendel, Andreas and Kellermann, Walter}, year={2019} }","ama":"Ebbers J, Drude L, Haeb-Umbach R, Brendel A, Kellermann W. Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks. In: <i>CAMSAP 2019, Guadeloupe, West Indies</i>. ; 2019.","mla":"Ebbers, Janek, et al. “Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks.” <i>CAMSAP 2019, Guadeloupe, West Indies</i>, 2019.","short":"J. Ebbers, L. Drude, R. Haeb-Umbach, A. Brendel, W. Kellermann, in: CAMSAP 2019, Guadeloupe, West Indies, 2019.","chicago":"Ebbers, Janek, Lukas Drude, Reinhold Haeb-Umbach, Andreas Brendel, and Walter Kellermann. “Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks.” In <i>CAMSAP 2019, Guadeloupe, West Indies</i>, 2019.","ieee":"J. Ebbers, L. Drude, R. Haeb-Umbach, A. Brendel, and W. Kellermann, “Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks,” 2019.","apa":"Ebbers, J., Drude, L., Haeb-Umbach, R., Brendel, A., &#38; Kellermann, W. (2019). Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks. <i>CAMSAP 2019, Guadeloupe, West Indies</i>."},"oa":"1","date_updated":"2023-11-22T08:29:58Z","title":"Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks","year":"2019","author":[{"id":"34851","first_name":"Janek","last_name":"Ebbers","full_name":"Ebbers, Janek"},{"id":"11213","full_name":"Drude, Lukas","first_name":"Lukas","last_name":"Drude"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","first_name":"Reinhold","last_name":"Haeb-Umbach"},{"full_name":"Brendel, Andreas","first_name":"Andreas","last_name":"Brendel"},{"full_name":"Kellermann, Walter","last_name":"Kellermann","first_name":"Walter"}],"language":[{"iso":"eng"}],"abstract":[{"text":"In this paper we consider human daily activity recognition using an acoustic sensor network (ASN) which consists of nodes distributed in a home environment. Assuming that the ASN is permanently recording, the vast majority of recordings is silence. Therefore, we propose to employ a computationally efficient two-stage sound recognition system, consisting of an initial sound activity detection (SAD) and a subsequent sound event classification (SEC), which is only activated once sound activity has been detected. We show how a low-latency activity detector with high temporal resolution can be trained from weak labels with low temporal resolution. We further demonstrate the advantage of using spatial features for the subsequent event classification task.","lang":"eng"}],"publication":"CAMSAP 2019, Guadeloupe, West Indies","type":"conference","department":[{"_id":"54"}],"file":[{"date_updated":"2020-02-05T10:21:39Z","relation":"main_file","file_size":311887,"access_level":"open_access","file_name":"CAMSAP_2019_WS_Ebbers_Paper.pdf","content_type":"application/pdf","file_id":"15797","creator":"huesera","date_created":"2020-02-05T10:21:39Z"}],"date_created":"2020-02-05T10:20:17Z"},{"title":"Hard X-ray spectroscopy: an exhaustive toolbox for mechanistic studies (?)","year":"2019","status":"public","author":[{"id":"27611","last_name":"Schoch","first_name":"Anke","orcid":"0000-0002-9457-400X","full_name":"Schoch, Anke"},{"id":"54038","full_name":"Burkhardt, Lukas","orcid":"0000-0003-0747-9811","first_name":"Lukas","last_name":"Burkhardt"},{"id":"48467","last_name":"Schoch","first_name":"Roland","orcid":"0000-0003-2061-7289","full_name":"Schoch, Roland"},{"full_name":"Stührenberg, Kai","first_name":"Kai","last_name":"Stührenberg"},{"id":"47241","orcid":"0000-0002-9294-6076","last_name":"Bauer","first_name":"Matthias","full_name":"Bauer, Matthias"}],"publication_identifier":{"issn":["1359-6640","1364-5498"]},"publication_status":"published","date_updated":"2024-03-07T10:11:03Z","page":"113-132","language":[{"iso":"eng"}],"_id":"16315","user_id":"48467","doi":"10.1039/c9fd00070d","publication":"Faraday Discussions","citation":{"chicago":"Schoch, Anke, Lukas Burkhardt, Roland Schoch, Kai Stührenberg, and Matthias Bauer. “Hard X-Ray Spectroscopy: An Exhaustive Toolbox for Mechanistic Studies (?).” <i>Faraday Discussions</i>, 2019, 113–32. <a href=\"https://doi.org/10.1039/c9fd00070d\">https://doi.org/10.1039/c9fd00070d</a>.","short":"A. Schoch, L. Burkhardt, R. Schoch, K. Stührenberg, M. Bauer, Faraday Discussions (2019) 113–132.","apa":"Schoch, A., Burkhardt, L., Schoch, R., Stührenberg, K., &#38; Bauer, M. (2019). Hard X-ray spectroscopy: an exhaustive toolbox for mechanistic studies (?). <i>Faraday Discussions</i>, 113–132. <a href=\"https://doi.org/10.1039/c9fd00070d\">https://doi.org/10.1039/c9fd00070d</a>","ieee":"A. Schoch, L. Burkhardt, R. Schoch, K. Stührenberg, and M. Bauer, “Hard X-ray spectroscopy: an exhaustive toolbox for mechanistic studies (?),” <i>Faraday Discussions</i>, pp. 113–132, 2019, doi: <a href=\"https://doi.org/10.1039/c9fd00070d\">10.1039/c9fd00070d</a>.","ama":"Schoch A, Burkhardt L, Schoch R, Stührenberg K, Bauer M. Hard X-ray spectroscopy: an exhaustive toolbox for mechanistic studies (?). <i>Faraday Discussions</i>. Published online 2019:113-132. doi:<a href=\"https://doi.org/10.1039/c9fd00070d\">10.1039/c9fd00070d</a>","bibtex":"@article{Schoch_Burkhardt_Schoch_Stührenberg_Bauer_2019, title={Hard X-ray spectroscopy: an exhaustive toolbox for mechanistic studies (?)}, DOI={<a href=\"https://doi.org/10.1039/c9fd00070d\">10.1039/c9fd00070d</a>}, journal={Faraday Discussions}, author={Schoch, Anke and Burkhardt, Lukas and Schoch, Roland and Stührenberg, Kai and Bauer, Matthias}, year={2019}, pages={113–132} }","mla":"Schoch, Anke, et al. “Hard X-Ray Spectroscopy: An Exhaustive Toolbox for Mechanistic Studies (?).” <i>Faraday Discussions</i>, 2019, pp. 113–32, doi:<a href=\"https://doi.org/10.1039/c9fd00070d\">10.1039/c9fd00070d</a>."},"abstract":[{"lang":"eng","text":"<p>The hard X-ray spectroscopy methods XAS, valence-to-core XES and higher solution XANES offer unique insights into organometallic reaction mechanisms.</p>"}],"project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"date_created":"2020-03-23T10:39:53Z","type":"journal_article","department":[{"_id":"43"},{"_id":"35"},{"_id":"306"}]},{"title":"Modellierung und Optimierung von makroverkapselten Latentwärmespeicherelementen","year":"2019","status":"public","conference":{"name":"Wärmeübertragung mit Phasenwechsel in fluiden Systemen: Ein Update","location":"Paderborn"},"author":[{"id":"66520","full_name":"Grabo, Matti","first_name":"Matti","last_name":"Grabo"},{"first_name":"Christoph","last_name":"Staggenborg","full_name":"Staggenborg, Christoph"},{"full_name":"Kenig, Eugeny","first_name":"Eugeny","last_name":"Kenig","id":"665"}],"date_updated":"2024-03-18T13:28:34Z","_id":"15249","language":[{"iso":"ger"}],"user_id":"66520","citation":{"short":"M. Grabo, C. Staggenborg, E. Kenig, in: 2019.","chicago":"Grabo, Matti, Christoph Staggenborg, and Eugeny Kenig. “Modellierung und Optimierung von makroverkapselten Latentwärmespeicherelementen,” 2019.","ieee":"M. Grabo, C. Staggenborg, and E. Kenig, “Modellierung und Optimierung von makroverkapselten Latentwärmespeicherelementen,” presented at the Wärmeübertragung mit Phasenwechsel in fluiden Systemen: Ein Update, Paderborn, 2019.","apa":"Grabo, M., Staggenborg, C., &#38; Kenig, E. (2019). <i>Modellierung und Optimierung von makroverkapselten Latentwärmespeicherelementen</i>. Wärmeübertragung mit Phasenwechsel in fluiden Systemen: Ein Update, Paderborn.","bibtex":"@inproceedings{Grabo_Staggenborg_Kenig_2019, title={Modellierung und Optimierung von makroverkapselten Latentwärmespeicherelementen}, author={Grabo, Matti and Staggenborg, Christoph and Kenig, Eugeny}, year={2019} }","ama":"Grabo M, Staggenborg C, Kenig E. Modellierung und Optimierung von makroverkapselten Latentwärmespeicherelementen. In: ; 2019.","mla":"Grabo, Matti, et al. <i>Modellierung und Optimierung von makroverkapselten Latentwärmespeicherelementen</i>. 2019."},"project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"date_created":"2019-12-05T10:09:36Z","type":"conference_abstract","department":[{"_id":"9"},{"_id":"145"}]},{"language":[{"iso":"eng"}],"_id":"16959","user_id":"14931","doi":"10.1364/qim.2019.t5a.35","status":"public","year":"2019","title":"Theoretical description of a multimode SU(1,1) interferometer","author":[{"full_name":"Ferreri, A.","first_name":"A.","last_name":"Ferreri"},{"first_name":"P.","last_name":"Sharapova","full_name":"Sharapova, P."},{"id":"36389","first_name":"Kai Hong","orcid":"0000-0003-1008-4976","last_name":"Luo","full_name":"Luo, Kai Hong"},{"last_name":"Herrmann","first_name":"H.","full_name":"Herrmann, H."},{"last_name":"Silberhorn","first_name":"C.","full_name":"Silberhorn, C."}],"publication_identifier":{"isbn":["9781943580569"]},"publication_status":"published","date_updated":"2023-02-10T16:01:51Z","date_created":"2020-05-15T09:21:25Z","type":"conference","keyword":["pc2-ressources"],"publication":"Quantum Information and Measurement (QIM) V: Quantum Technologies","citation":{"mla":"Ferreri, A., et al. “Theoretical Description of a Multimode SU(1,1) Interferometer.” <i>Quantum Information and Measurement (QIM) V: Quantum Technologies</i>, 2019, doi:<a href=\"https://doi.org/10.1364/qim.2019.t5a.35\">10.1364/qim.2019.t5a.35</a>.","bibtex":"@inproceedings{Ferreri_Sharapova_Luo_Herrmann_Silberhorn_2019, title={Theoretical description of a multimode SU(1,1) interferometer}, DOI={<a href=\"https://doi.org/10.1364/qim.2019.t5a.35\">10.1364/qim.2019.t5a.35</a>}, booktitle={Quantum Information and Measurement (QIM) V: Quantum Technologies}, author={Ferreri, A. and Sharapova, P. and Luo, Kai Hong and Herrmann, H. and Silberhorn, C.}, year={2019} }","ama":"Ferreri A, Sharapova P, Luo KH, Herrmann H, Silberhorn C. Theoretical description of a multimode SU(1,1) interferometer. In: <i>Quantum Information and Measurement (QIM) V: Quantum Technologies</i>. ; 2019. doi:<a href=\"https://doi.org/10.1364/qim.2019.t5a.35\">10.1364/qim.2019.t5a.35</a>","ieee":"A. Ferreri, P. Sharapova, K. H. Luo, H. Herrmann, and C. Silberhorn, “Theoretical description of a multimode SU(1,1) interferometer,” 2019, doi: <a href=\"https://doi.org/10.1364/qim.2019.t5a.35\">10.1364/qim.2019.t5a.35</a>.","apa":"Ferreri, A., Sharapova, P., Luo, K. H., Herrmann, H., &#38; Silberhorn, C. (2019). Theoretical description of a multimode SU(1,1) interferometer. <i>Quantum Information and Measurement (QIM) V: Quantum Technologies</i>. <a href=\"https://doi.org/10.1364/qim.2019.t5a.35\">https://doi.org/10.1364/qim.2019.t5a.35</a>","short":"A. Ferreri, P. Sharapova, K.H. Luo, H. Herrmann, C. Silberhorn, in: Quantum Information and Measurement (QIM) V: Quantum Technologies, 2019.","chicago":"Ferreri, A., P. Sharapova, Kai Hong Luo, H. Herrmann, and C. Silberhorn. “Theoretical Description of a Multimode SU(1,1) Interferometer.” In <i>Quantum Information and Measurement (QIM) V: Quantum Technologies</i>, 2019. <a href=\"https://doi.org/10.1364/qim.2019.t5a.35\">https://doi.org/10.1364/qim.2019.t5a.35</a>."},"project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}]},{"project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"citation":{"mla":"Riabinin, Matvei, et al. <i>Generating Two-Mode Squeezing and Schrödinger Cat States with Multimode Measurement-Induced Nonlinearity</i>. 2019.","bibtex":"@article{Riabinin_Sharapova_Bartley_Meier_2019, title={Generating two-mode squeezing and Schrödinger cat states with multimode measurement-induced nonlinearity}, author={Riabinin, Matvei and Sharapova, Polina and Bartley, Tim and Meier, Torsten}, year={2019} }","ama":"Riabinin M, Sharapova P, Bartley T, Meier T. Generating two-mode squeezing and Schrödinger cat states with multimode measurement-induced nonlinearity. Published online 2019.","ieee":"M. Riabinin, P. Sharapova, T. Bartley, and T. Meier, “Generating two-mode squeezing and Schrödinger cat states with multimode measurement-induced nonlinearity.” 2019.","apa":"Riabinin, M., Sharapova, P., Bartley, T., &#38; Meier, T. (2019). <i>Generating two-mode squeezing and Schrödinger cat states with multimode measurement-induced nonlinearity</i>.","chicago":"Riabinin, Matvei, Polina Sharapova, Tim Bartley, and Torsten Meier. “Generating Two-Mode Squeezing and Schrödinger Cat States with Multimode Measurement-Induced Nonlinearity,” 2019.","short":"M. Riabinin, P. Sharapova, T. Bartley, T. Meier, (2019)."},"keyword":["pc2-ressources"],"type":"preprint","date_created":"2020-05-08T09:13:02Z","date_updated":"2023-02-10T16:05:00Z","status":"public","title":"Generating two-mode squeezing and Schrödinger cat states with multimode measurement-induced nonlinearity","year":"2019","author":[{"full_name":"Riabinin, Matvei","last_name":"Riabinin","first_name":"Matvei"},{"id":"60286","first_name":"Polina","last_name":"Sharapova","full_name":"Sharapova, Polina"},{"id":"49683","full_name":"Bartley, Tim","first_name":"Tim","last_name":"Bartley"},{"orcid":"0000-0001-8864-2072","first_name":"Torsten","last_name":"Meier","full_name":"Meier, Torsten","id":"344"}],"user_id":"14931","language":[{"iso":"eng"}],"_id":"16945"}]