[{"author":[{"full_name":"Gossen, Arthur","first_name":"Arthur","id":"76446","last_name":"Gossen"},{"full_name":"Katsch, Linda","id":"71614","last_name":"Katsch","first_name":"Linda","orcid":"0000-0001-6628-3929 "},{"first_name":"Mandy Isabel","last_name":"Meyer","full_name":"Meyer, Mandy Isabel","id":"71991"},{"orcid":"0000-0002-9974-2543","full_name":"Zimmer, Manuel","first_name":"Manuel","id":"71613","last_name":"Zimmer"},{"first_name":"Martyna","last_name":"Bator","id":"46440","full_name":"Bator, Martyna"},{"id":"81495","last_name":"Darvishi","full_name":"Darvishi, Masoumeh","first_name":"Masoumeh"},{"full_name":"Holst, Christoph-Alexander","first_name":"Christoph-Alexander","last_name":"Holst","id":"64782"},{"orcid":"0000-0002-3325-7887","id":"1804","first_name":"Volker","full_name":"Lohweg, Volker","last_name":"Lohweg"},{"orcid":"0000-0001-6401-8873","last_name":"Schneider","first_name":"Jan","id":"13209","full_name":"Schneider, Jan"}],"year":"2024","conference":{"name":"GDL Kongress Lebensmitteltechnologie","location":"Lemgo","start_date":"2024-10-10","end_date":"2024-10-12"},"department":[{"_id":"DEP4018"},{"_id":"DEP5023"},{"_id":"DEP4028"},{"_id":"DEP1308"}],"status":"public","title":"FoodLifeTimeTracking: Datengetriebene dynamische Haltbarkeitsvorhersage von Erfrischungsgetränken","citation":{"ama":"Gossen A, Katsch L, Meyer MI, et al. <i>FoodLifeTimeTracking: Datengetriebene Dynamische Haltbarkeitsvorhersage von Erfrischungsgetränken</i>.; 2024.","ieee":"A. Gossen <i>et al.</i>, <i>FoodLifeTimeTracking: Datengetriebene dynamische Haltbarkeitsvorhersage von Erfrischungsgetränken</i>. 2024.","chicago-de":"Gossen, Arthur, Linda Katsch, Mandy Isabel Meyer, Manuel Zimmer, Martyna Bator, Masoumeh Darvishi, Christoph-Alexander Holst, Volker Lohweg und Jan Schneider. 2024. <i>FoodLifeTimeTracking: Datengetriebene dynamische Haltbarkeitsvorhersage von Erfrischungsgetränken</i>.","din1505-2-1":"<span style=\"font-variant:small-caps;\"><span style=\"font-variant:small-caps;\">Gossen, Arthur</span> ; <span style=\"font-variant:small-caps;\">Katsch, Linda</span> ; <span style=\"font-variant:small-caps;\">Meyer, Mandy Isabel</span> ; <span style=\"font-variant:small-caps;\">Zimmer, Manuel</span> ; <span style=\"font-variant:small-caps;\">Bator, Martyna</span> ; <span style=\"font-variant:small-caps;\">Darvishi, Masoumeh</span> ; <span style=\"font-variant:small-caps;\">Holst, Christoph-Alexander</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span> ; u. a.</span>: <i>FoodLifeTimeTracking: Datengetriebene dynamische Haltbarkeitsvorhersage von Erfrischungsgetränken</i>, 2024","short":"A. Gossen, L. Katsch, M.I. Meyer, M. Zimmer, M. Bator, M. Darvishi, C.-A. Holst, V. Lohweg, J. Schneider, FoodLifeTimeTracking: Datengetriebene Dynamische Haltbarkeitsvorhersage von Erfrischungsgetränken, 2024.","ufg":"<b>Gossen, Arthur u. a.</b>: FoodLifeTimeTracking: Datengetriebene dynamische Haltbarkeitsvorhersage von Erfrischungsgetränken, o. O. 2024.","mla":"Gossen, Arthur, et al. <i>FoodLifeTimeTracking: Datengetriebene Dynamische Haltbarkeitsvorhersage von Erfrischungsgetränken</i>. 2024.","bjps":"<b>Gossen A <i>et al.</i></b> (2024) <i>FoodLifeTimeTracking: Datengetriebene Dynamische Haltbarkeitsvorhersage von Erfrischungsgetränken</i>. .","havard":"A. Gossen, L. Katsch, M.I. Meyer, M. Zimmer, M. Bator, M. Darvishi, C.-A. Holst, V. Lohweg, J. Schneider, FoodLifeTimeTracking: Datengetriebene dynamische Haltbarkeitsvorhersage von Erfrischungsgetränken, 2024.","van":"Gossen A, Katsch L, Meyer MI, Zimmer M, Bator M, Darvishi M, et al. FoodLifeTimeTracking: Datengetriebene dynamische Haltbarkeitsvorhersage von Erfrischungsgetränken. 2024.","chicago":"Gossen, Arthur, Linda Katsch, Mandy Isabel Meyer, Manuel Zimmer, Martyna Bator, Masoumeh Darvishi, Christoph-Alexander Holst, Volker Lohweg, and Jan Schneider. <i>FoodLifeTimeTracking: Datengetriebene Dynamische Haltbarkeitsvorhersage von Erfrischungsgetränken</i>, 2024.","apa":"Gossen, A., Katsch, L., Meyer, M. I., Zimmer, M., Bator, M., Darvishi, M., Holst, C.-A., Lohweg, V., &#38; Schneider, J. (2024). <i>FoodLifeTimeTracking: Datengetriebene dynamische Haltbarkeitsvorhersage von Erfrischungsgetränken</i>. GDL Kongress Lebensmitteltechnologie, Lemgo."},"publication_status":"published","_id":"11978","language":[{"iso":"eng"}],"type":"conference_speech","date_created":"2024-10-09T14:17:04Z","user_id":"81304","date_updated":"2025-10-17T18:30:10Z"},{"status":"public","department":[{"_id":"DEP4028"},{"_id":"DEP5023"},{"_id":"DEP4000"},{"_id":"DEP1308"}],"conference":{"name":"10. GDL Kongress Lebensmitteltechnologie 2024","location":"Lemgo","start_date":"2024-10-10","end_date":"2024-10-12"},"year":"2024","author":[{"first_name":"Jan","last_name":"Segermann","full_name":"Segermann, Jan","id":"81965"},{"id":"63215","full_name":"Luttmann, Mario","first_name":"Mario","last_name":"Luttmann"},{"first_name":"André","id":"62117","full_name":"Blome, André","last_name":"Blome"},{"last_name":"Feldt","first_name":"Sebastian","full_name":"Feldt, Sebastian","id":"61469"},{"last_name":"Sivanesan","first_name":"Sujee","full_name":"Sivanesan, Sujee"},{"first_name":"Christoph-Alexander","id":"64782","last_name":"Holst","full_name":"Holst, Christoph-Alexander"},{"orcid":"0000-0002-3325-7887","id":"1804","first_name":"Volker","full_name":"Lohweg, Volker","last_name":"Lohweg"},{"id":"45666","last_name":"Frahm","full_name":"Frahm, Björn","first_name":"Björn"},{"last_name":"Müller","first_name":"Ulrich","id":"12119","full_name":"Müller, Ulrich"}],"publication_status":"published","citation":{"ama":"Segermann J, Luttmann M, Blome A, et al. <i>Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie</i>.; 2024.","ieee":"J. Segermann <i>et al.</i>, <i>Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie</i>. 2024.","van":"Segermann J, Luttmann M, Blome A, Feldt S, Sivanesan S, Holst CA, et al. Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie. 2024.","ufg":"<b>Segermann, Jan u. a.</b>: Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie, o. O. 2024.","bjps":"<b>Segermann J <i>et al.</i></b> (2024) <i>Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie</i>. .","havard":"J. Segermann, M. Luttmann, A. Blome, S. Feldt, S. Sivanesan, C.-A. Holst, V. Lohweg, B. Frahm, U. Müller, Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie, 2024.","mla":"Segermann, Jan, et al. <i>Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie</i>. 2024.","apa":"Segermann, J., Luttmann, M., Blome, A., Feldt, S., Sivanesan, S., Holst, C.-A., Lohweg, V., Frahm, B., &#38; Müller, U. (2024). <i>Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie</i>. 10. GDL Kongress Lebensmitteltechnologie 2024, Lemgo.","chicago":"Segermann, Jan, Mario Luttmann, André Blome, Sebastian Feldt, Sujee Sivanesan, Christoph-Alexander Holst, Volker Lohweg, Björn Frahm, and Ulrich Müller. <i>Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie</i>, 2024.","short":"J. Segermann, M. Luttmann, A. Blome, S. Feldt, S. Sivanesan, C.-A. Holst, V. Lohweg, B. Frahm, U. Müller, Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie, 2024.","din1505-2-1":"<span style=\"font-variant:small-caps;\"><span style=\"font-variant:small-caps;\">Segermann, Jan</span> ; <span style=\"font-variant:small-caps;\">Luttmann, Mario</span> ; <span style=\"font-variant:small-caps;\">Blome, André</span> ; <span style=\"font-variant:small-caps;\">Feldt, Sebastian</span> ; <span style=\"font-variant:small-caps;\">Sivanesan, Sujee</span> ; <span style=\"font-variant:small-caps;\">Holst, Christoph-Alexander</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span> ; <span style=\"font-variant:small-caps;\">Frahm, Björn</span> ; u. a.</span>: <i>Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie</i>, 2024","chicago-de":"Segermann, Jan, Mario Luttmann, André Blome, Sebastian Feldt, Sujee Sivanesan, Christoph-Alexander Holst, Volker Lohweg, Björn Frahm und Ulrich Müller. 2024. <i>Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie</i>."},"title":"Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie","_id":"12021","language":[{"iso":"ger"}],"keyword":["sourdough","fermentation","near-infrared spectroscopy","support vector machine"],"date_updated":"2025-10-17T18:22:39Z","user_id":"81304","type":"conference_speech","date_created":"2024-11-06T16:53:13Z"},{"date_created":"2019-11-22T12:51:13Z","type":"conference","publication":"at - Automatisierungstechnik 67 (10) ","date_updated":"2023-03-15T13:49:38Z","user_id":"74004","language":[{"iso":"eng"}],"_id":"1993","title":"Feature Fusion to Increase the Robustness of Machine Learners in Industrial Environments","citation":{"ama":"Holst C-A, Lohweg V. Feature Fusion to Increase the Robustness of Machine Learners in Industrial Environments. In: <i>At - Automatisierungstechnik 67 (10) </i>. De Gruyter; 2019:853-865.","ieee":"C.-A. Holst and V. Lohweg, “Feature Fusion to Increase the Robustness of Machine Learners in Industrial Environments,” in <i>at - Automatisierungstechnik 67 (10) </i>, 2019, pp. 853–865.","chicago-de":"Holst, Christoph-Alexander und Volker Lohweg. 2019. Feature Fusion to Increase the Robustness of Machine Learners in Industrial Environments. In: <i>at - Automatisierungstechnik 67 (10) </i>, 853–865. De Gruyter.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Holst, Christoph-Alexander</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span>: Feature Fusion to Increase the Robustness of Machine Learners in Industrial Environments. In: <i>at - Automatisierungstechnik 67 (10) </i> : De Gruyter, 2019, S. 853–865","short":"C.-A. Holst, V. Lohweg, in: At - Automatisierungstechnik 67 (10) , De Gruyter, 2019, pp. 853–865.","havard":"C.-A. Holst, V. Lohweg, Feature Fusion to Increase the Robustness of Machine Learners in Industrial Environments, in: At - Automatisierungstechnik 67 (10) , De Gruyter, 2019: pp. 853–865.","mla":"Holst, Christoph-Alexander, and Volker Lohweg. “Feature Fusion to Increase the Robustness of Machine Learners in Industrial Environments.” <i>At - Automatisierungstechnik 67 (10) </i>, De Gruyter, 2019, pp. 853–65.","bjps":"<b>Holst C-A and Lohweg V</b> (2019) Feature Fusion to Increase the Robustness of Machine Learners in Industrial Environments. <i>At - Automatisierungstechnik 67 (10) </i>. De Gruyter, pp. 853–865.","ufg":"<b>Holst, Christoph-Alexander/Lohweg, Volker (2019)</b>: Feature Fusion to Increase the Robustness of Machine Learners in Industrial Environments, in: <i>at - Automatisierungstechnik 67 (10) </i>, S. 853–865.","van":"Holst C-A, Lohweg V. Feature Fusion to Increase the Robustness of Machine Learners in Industrial Environments. In: at - Automatisierungstechnik 67 (10) . De Gruyter; 2019. p. 853–65.","chicago":"Holst, Christoph-Alexander, and Volker Lohweg. “Feature Fusion to Increase the Robustness of Machine Learners in Industrial Environments.” In <i>At - Automatisierungstechnik 67 (10) </i>, 853–65. De Gruyter, 2019.","apa":"Holst, C.-A., &#38; Lohweg, V. (2019). Feature Fusion to Increase the Robustness of Machine Learners in Industrial Environments. In <i>at - Automatisierungstechnik 67 (10) </i> (pp. 853–865). De Gruyter."},"department":[{"_id":"DEP5023"}],"author":[{"last_name":"Holst","first_name":"Christoph-Alexander","full_name":"Holst, Christoph-Alexander","id":"64782"},{"id":"1804","last_name":"Lohweg","full_name":"Lohweg, Volker","first_name":"Volker","orcid":"0000-0002-3325-7887"}],"year":2019,"abstract":[{"text":"Industrial applications put special demands on machine learning algorithms. Noisy data, outliers, and sensor faults present an immense challenge for learners. A considerable part of machine learning research focuses on the selection of relevant, non-redundant features. This contribution details an approach to group and fuse redundant features prior to learning and classification. Features are grouped relying on a correlation-based redundancy measure. The fusion of features is guided by determining the majority observation based on possibility distributions. Furthermore, this paper studies the effects of feature fusion on the robustness and performance of classification with a focus on industrial applications. The approach is statistically evaluated on public datasets in comparison to classification on selected features only.","lang":"eng"}],"page":"853-865","status":"public","publisher":"De Gruyter"},{"place":"Firenze, Italy","language":[{"iso":"eng"}],"_id":"1995","publication":"5th IEEE International Forum on Research and Technologies for Society and Industry","date_created":"2019-11-22T12:51:16Z","type":"conference","user_id":"74004","date_updated":"2023-03-15T13:49:38Z","year":2019,"author":[{"full_name":"Holst, Christoph-Alexander","first_name":"Christoph-Alexander","id":"64782","last_name":"Holst"},{"first_name":"Kristian","last_name":"Röckemann","full_name":"Röckemann, Kristian"},{"first_name":"Andreas","last_name":"Steinmetz","id":"55232","full_name":"Steinmetz, Andreas"},{"last_name":"Lohweg","id":"1804","first_name":"Volker","full_name":"Lohweg, Volker","orcid":"0000-0002-3325-7887"}],"department":[{"_id":"DEP5023"}],"abstract":[{"text":"The repair of carbon fibre reinforced polymer structures of aircraft is increasingly conducted on site. Monitoring the curing process of polymers has the potential to decrease repair costs by time optimisation and quality control. In this paper Lamb waves are utilised to determine the degree of cure. Waves are excited and recorded by two piezoelectric transducers, one serving as an actuator and the other as a sensor. The recorded signals are processed with a complex wavelet transform, which allows more accurate feature extraction than calculating features in time domain. Extracted features are the transmitted signal energy of the wave and the resonance frequency of the curing polymer. Waves are excited at different frequencies to identify the current resonance frequency. Excitation at or near the current resonant frequency ensures that curing is monitored with maximum sensitivity.","lang":"eng"}],"status":"public","title":"Lamb wave-based Cure Monitoring of Carbon Fibre Reinforced Polymers for On-site Aircraft Repairs","citation":{"chicago":"Holst, Christoph-Alexander, Kristian Röckemann, Andreas Steinmetz, and Volker Lohweg. “Lamb Wave-Based Cure Monitoring of Carbon Fibre Reinforced Polymers for On-Site Aircraft Repairs.” In <i>5th IEEE International Forum on Research and Technologies for Society and Industry</i>. Firenze, Italy, 2019.","ieee":"C.-A. Holst, K. Röckemann, A. Steinmetz, and V. Lohweg, “Lamb wave-based Cure Monitoring of Carbon Fibre Reinforced Polymers for On-site Aircraft Repairs,” in <i>5th IEEE International Forum on Research and Technologies for Society and Industry</i>, 2019.","apa":"Holst, C.-A., Röckemann, K., Steinmetz, A., &#38; Lohweg, V. (2019). Lamb wave-based Cure Monitoring of Carbon Fibre Reinforced Polymers for On-site Aircraft Repairs. In <i>5th IEEE International Forum on Research and Technologies for Society and Industry</i>. Firenze, Italy.","havard":"C.-A. Holst, K. Röckemann, A. Steinmetz, V. Lohweg, Lamb wave-based Cure Monitoring of Carbon Fibre Reinforced Polymers for On-site Aircraft Repairs, in: 5th IEEE International Forum on Research and Technologies for Society and Industry, Firenze, Italy, 2019.","mla":"Holst, Christoph-Alexander, et al. “Lamb Wave-Based Cure Monitoring of Carbon Fibre Reinforced Polymers for On-Site Aircraft Repairs.” <i>5th IEEE International Forum on Research and Technologies for Society and Industry</i>, 2019.","bjps":"<b>Holst C-A <i>et al.</i></b> (2019) Lamb Wave-Based Cure Monitoring of Carbon Fibre Reinforced Polymers for On-Site Aircraft Repairs. <i>5th IEEE International Forum on Research and Technologies for Society and Industry</i>. Firenze, Italy.","ufg":"<b>Holst, Christoph-Alexander et. al. (2019)</b>: Lamb wave-based Cure Monitoring of Carbon Fibre Reinforced Polymers for On-site Aircraft Repairs, in: <i>5th IEEE International Forum on Research and Technologies for Society and Industry</i>, Firenze, Italy.","ama":"Holst C-A, Röckemann K, Steinmetz A, Lohweg V. Lamb wave-based Cure Monitoring of Carbon Fibre Reinforced Polymers for On-site Aircraft Repairs. In: <i>5th IEEE International Forum on Research and Technologies for Society and Industry</i>. Firenze, Italy; 2019.","van":"Holst C-A, Röckemann K, Steinmetz A, Lohweg V. Lamb wave-based Cure Monitoring of Carbon Fibre Reinforced Polymers for On-site Aircraft Repairs. In: 5th IEEE International Forum on Research and Technologies for Society and Industry. Firenze, Italy; 2019.","chicago-de":"Holst, Christoph-Alexander, Kristian Röckemann, Andreas Steinmetz und Volker Lohweg. 2019. Lamb wave-based Cure Monitoring of Carbon Fibre Reinforced Polymers for On-site Aircraft Repairs. In: <i>5th IEEE International Forum on Research and Technologies for Society and Industry</i>. Firenze, Italy.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Holst, Christoph-Alexander</span> ; <span style=\"font-variant:small-caps;\">Röckemann, Kristian</span> ; <span style=\"font-variant:small-caps;\">Steinmetz, Andreas</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span>: Lamb wave-based Cure Monitoring of Carbon Fibre Reinforced Polymers for On-site Aircraft Repairs. In: <i>5th IEEE International Forum on Research and Technologies for Society and Industry</i>. Firenze, Italy, 2019","short":"C.-A. Holst, K. Röckemann, A. Steinmetz, V. Lohweg, in: 5th IEEE International Forum on Research and Technologies for Society and Industry, Firenze, Italy, 2019."}},{"date_created":"2019-11-22T12:51:20Z","type":"conference","publication":"22nd International Conference on Information Fusion (FUSION)","date_updated":"2023-03-15T13:49:38Z","user_id":"68554","language":[{"iso":"eng"}],"place":"Ottawa, Canada","_id":"1998","title":"Improving Majority-guided Fuzzy Information Fusion for Industry 4.0 Condition Monitoring","citation":{"ufg":"<b>Holst, Christoph-Alexander/Lohweg, Volker (2019)</b>: Improving Majority-guided Fuzzy Information Fusion for Industry 4.0 Condition Monitoring, in: <i>22nd International Conference on Information Fusion (FUSION)</i>, Ottawa, Canada.","havard":"C.-A. Holst, V. Lohweg, Improving Majority-guided Fuzzy Information Fusion for Industry 4.0 Condition Monitoring, in: 22nd International Conference on Information Fusion (FUSION), Ottawa, Canada, 2019.","bjps":"<b>Holst C-A and Lohweg V</b> (2019) Improving Majority-Guided Fuzzy Information Fusion for Industry 4.0 Condition Monitoring. <i>22nd International Conference on Information Fusion (FUSION)</i>. Ottawa, Canada.","mla":"Holst, Christoph-Alexander, and Volker Lohweg. “Improving Majority-Guided Fuzzy Information Fusion for Industry 4.0 Condition Monitoring.” <i>22nd International Conference on Information Fusion (FUSION)</i>, 2019.","van":"Holst C-A, Lohweg V. Improving Majority-guided Fuzzy Information Fusion for Industry 4.0 Condition Monitoring. In: 22nd International Conference on Information Fusion (FUSION). Ottawa, Canada; 2019.","chicago":"Holst, Christoph-Alexander, and Volker Lohweg. “Improving Majority-Guided Fuzzy Information Fusion for Industry 4.0 Condition Monitoring.” In <i>22nd International Conference on Information Fusion (FUSION)</i>. Ottawa, Canada, 2019.","apa":"Holst, C.-A., &#38; Lohweg, V. (2019). Improving Majority-guided Fuzzy Information Fusion for Industry 4.0 Condition Monitoring. In <i>22nd International Conference on Information Fusion (FUSION)</i>. Ottawa, Canada.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Holst, Christoph-Alexander</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span>: Improving Majority-guided Fuzzy Information Fusion for Industry 4.0 Condition Monitoring. In: <i>22nd International Conference on Information Fusion (FUSION)</i>. Ottawa, Canada, 2019","chicago-de":"Holst, Christoph-Alexander und Volker Lohweg. 2019. Improving Majority-guided Fuzzy Information Fusion for Industry 4.0 Condition Monitoring. In: <i>22nd International Conference on Information Fusion (FUSION)</i>. Ottawa, Canada.","short":"C.-A. Holst, V. Lohweg, in: 22nd International Conference on Information Fusion (FUSION), Ottawa, Canada, 2019.","ama":"Holst C-A, Lohweg V. Improving Majority-guided Fuzzy Information Fusion for Industry 4.0 Condition Monitoring. In: <i>22nd International Conference on Information Fusion (FUSION)</i>. Ottawa, Canada; 2019.","ieee":"C.-A. Holst and V. Lohweg, “Improving Majority-guided Fuzzy Information Fusion for Industry 4.0 Condition Monitoring,” in <i>22nd International Conference on Information Fusion (FUSION)</i>, 2019."},"department":[{"_id":"DEP5023"}],"year":2019,"author":[{"first_name":"Christoph-Alexander","id":"64782","last_name":"Holst","full_name":"Holst, Christoph-Alexander"},{"orcid":"0000-0002-3325-7887","id":"1804","last_name":"Lohweg","full_name":"Lohweg, Volker","first_name":"Volker"}],"status":"public"},{"title":"Lamb Wave-based Quality Inspection of Repaired Carbon Fibre Reinforced Polymers for On-Site Aircraft Maintenance","citation":{"short":"C.-A. Holst, K. Röckemann, A. Steinmetz, V. Lohweg, in: 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2019), Zaragoza, Spain, 2019.","chicago-de":"Holst, Christoph-Alexander, Kristian Röckemann, Andreas Steinmetz und Volker Lohweg. 2019. Lamb Wave-based Quality Inspection of Repaired Carbon Fibre Reinforced Polymers for On-Site Aircraft Maintenance. In: <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2019)</i>. Zaragoza, Spain.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Holst, Christoph-Alexander</span> ; <span style=\"font-variant:small-caps;\">Röckemann, Kristian</span> ; <span style=\"font-variant:small-caps;\">Steinmetz, Andreas</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span>: Lamb Wave-based Quality Inspection of Repaired Carbon Fibre Reinforced Polymers for On-Site Aircraft Maintenance. In: <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2019)</i>. Zaragoza, Spain, 2019","van":"Holst C-A, Röckemann K, Steinmetz A, Lohweg V. Lamb Wave-based Quality Inspection of Repaired Carbon Fibre Reinforced Polymers for On-Site Aircraft Maintenance. In: 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2019). Zaragoza, Spain; 2019.","ufg":"<b>Holst, Christoph-Alexander et. al. (2019)</b>: Lamb Wave-based Quality Inspection of Repaired Carbon Fibre Reinforced Polymers for On-Site Aircraft Maintenance, in: <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2019)</i>, Zaragoza, Spain.","mla":"Holst, Christoph-Alexander, et al. “Lamb Wave-Based Quality Inspection of Repaired Carbon Fibre Reinforced Polymers for On-Site Aircraft Maintenance.” <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2019)</i>, 2019.","havard":"C.-A. Holst, K. Röckemann, A. Steinmetz, V. Lohweg, Lamb Wave-based Quality Inspection of Repaired Carbon Fibre Reinforced Polymers for On-Site Aircraft Maintenance, in: 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2019), Zaragoza, Spain, 2019.","bjps":"<b>Holst C-A <i>et al.</i></b> (2019) Lamb Wave-Based Quality Inspection of Repaired Carbon Fibre Reinforced Polymers for On-Site Aircraft Maintenance. <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2019)</i>. Zaragoza, Spain.","apa":"Holst, C.-A., Röckemann, K., Steinmetz, A., &#38; Lohweg, V. (2019). Lamb Wave-based Quality Inspection of Repaired Carbon Fibre Reinforced Polymers for On-Site Aircraft Maintenance. In <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2019)</i>. Zaragoza, Spain.","chicago":"Holst, Christoph-Alexander, Kristian Röckemann, Andreas Steinmetz, and Volker Lohweg. “Lamb Wave-Based Quality Inspection of Repaired Carbon Fibre Reinforced Polymers for On-Site Aircraft Maintenance.” In <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2019)</i>. Zaragoza, Spain, 2019.","ama":"Holst C-A, Röckemann K, Steinmetz A, Lohweg V. Lamb Wave-based Quality Inspection of Repaired Carbon Fibre Reinforced Polymers for On-Site Aircraft Maintenance. In: <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2019)</i>. Zaragoza, Spain; 2019.","ieee":"C.-A. Holst, K. Röckemann, A. Steinmetz, and V. Lohweg, “Lamb Wave-based Quality Inspection of Repaired Carbon Fibre Reinforced Polymers for On-Site Aircraft Maintenance,” in <i>24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2019)</i>, 2019."},"author":[{"first_name":"Christoph-Alexander","last_name":"Holst","id":"64782","full_name":"Holst, Christoph-Alexander"},{"full_name":"Röckemann, Kristian","first_name":"Kristian","last_name":"Röckemann"},{"last_name":"Steinmetz","first_name":"Andreas","full_name":"Steinmetz, Andreas","id":"55232"},{"orcid":"0000-0002-3325-7887","first_name":"Volker","last_name":"Lohweg","full_name":"Lohweg, Volker","id":"1804"}],"year":2019,"department":[{"_id":"DEP5023"}],"abstract":[{"text":"On-site aircraft repairs are gaining in importance due to the susceptibility of carbon fibre reinforced polymers to damage. Repairs themselves are required to be inspected for quality, preferably cost- and time-efficiently. This paper presents an approach for the inspection of repaired composites based on guided Lamb waves. The focus is on cost-effective signal excitation and effective signal processing. Lamb waves are excited with piezoelectric transducers at the resonance frequency of the material under test. Measured signals are processed with a complex wavelet transform to improve damage detection. The proposed approach is evaluated on two test specimens, one of which has a defect in the adhesive bond.","lang":"eng"}],"status":"public","publication":"24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2019)","date_created":"2019-11-22T12:54:24Z","type":"conference","user_id":"74004","date_updated":"2023-03-15T13:49:38Z","place":"Zaragoza, Spain","language":[{"iso":"eng"}],"_id":"2003"},{"doi":"10.1109/ETFA.2018.8502571","_id":"2007","language":[{"iso":"eng"}],"keyword":["Multisensor systems","Temperature measurement","Current measurement","Redundancy","Pollution measurement","Detection algorithms"],"place":"Torino, Italy","date_updated":"2023-03-15T13:49:38Z","user_id":"15514","date_created":"2019-11-25T08:35:47Z","type":"conference","publication":"23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","status":"public","abstract":[{"text":"Multisensor systems are susceptible to sensor ageing effects as well as to environmental changes. Due to these effects, the distribution of sensor measurements may change over time, which is referred to as sensor drift. A multisensor system which adapts to drift by self-monitoring is more durable, requires less manual maintenance, and provides information of higher quality. This contribution proposes an approach for detecting and adapting to sensor drift. The proposed detection algorithm determines the reliability of a sensor based on fuzzy pattern classifiers and a consistency measure. By this means, the inherent redundancy in multisensor systems is exploited to detect drift. Detected drift leads then to a retraining of the classifier on batched data guided by information fusion. The retraining incorporates the estimated magnitude of the drift. The proposed algorithms are evaluated in comparison with state-of-the-art methods in the scope of a publicly available dataset. It is shown that the drift detection algorithm yields results similar to the benchmark algorithm but is less computationally complex. Relearning with the drift-adapted approach results in more robust classifiers with regard to potential future drift.","lang":"eng"}],"department":[{"_id":"DEP5023"}],"conference":{"location":"Torino, Italy","name":"IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA) 2018","start_date":"2018-09-04","end_date":"2018-09-07"},"year":2018,"main_file_link":[{"url":"https://ieeexplore.ieee.org/abstract/document/8502571"}],"author":[{"first_name":"Christoph-Alexander","id":"64782","full_name":"Holst, Christoph-Alexander","last_name":"Holst"},{"orcid":"0000-0002-3325-7887","first_name":"Volker","id":"1804","last_name":"Lohweg","full_name":"Lohweg, Volker"}],"publication_status":"published","citation":{"apa":"Holst, C.-A., &#38; Lohweg, V. (2018). A Conflict-Based Drift Detection And Adaptation Approach for Multisensor Information Fusion. In <i>23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Torino, Italy. <a href=\"https://doi.org/10.1109/ETFA.2018.8502571\">https://doi.org/10.1109/ETFA.2018.8502571</a>","chicago":"Holst, Christoph-Alexander, and Volker Lohweg. “A Conflict-Based Drift Detection And Adaptation Approach for Multisensor Information Fusion.” In <i>23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Torino, Italy, 2018. <a href=\"https://doi.org/10.1109/ETFA.2018.8502571\">https://doi.org/10.1109/ETFA.2018.8502571</a>.","van":"Holst C-A, Lohweg V. A Conflict-Based Drift Detection And Adaptation Approach for Multisensor Information Fusion. In: 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Torino, Italy; 2018.","ufg":"<b>Holst, Christoph-Alexander/Lohweg, Volker (2018)</b>: A Conflict-Based Drift Detection And Adaptation Approach for Multisensor Information Fusion, in: <i>23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, Torino, Italy.","mla":"Holst, Christoph-Alexander, and Volker Lohweg. “A Conflict-Based Drift Detection And Adaptation Approach for Multisensor Information Fusion.” <i>23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, 2018, doi:<a href=\"https://doi.org/10.1109/ETFA.2018.8502571\">10.1109/ETFA.2018.8502571</a>.","bjps":"<b>Holst C-A and Lohweg V</b> (2018) A Conflict-Based Drift Detection And Adaptation Approach for Multisensor Information Fusion. <i>23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Torino, Italy.","havard":"C.-A. Holst, V. Lohweg, A Conflict-Based Drift Detection And Adaptation Approach for Multisensor Information Fusion, in: 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Torino, Italy, 2018.","short":"C.-A. Holst, V. Lohweg, in: 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Torino, Italy, 2018.","chicago-de":"Holst, Christoph-Alexander und Volker Lohweg. 2018. A Conflict-Based Drift Detection And Adaptation Approach for Multisensor Information Fusion. In: <i>23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Torino, Italy. doi:<a href=\"https://doi.org/10.1109/ETFA.2018.8502571,\">10.1109/ETFA.2018.8502571,</a> .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Holst, Christoph-Alexander</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span>: A Conflict-Based Drift Detection And Adaptation Approach for Multisensor Information Fusion. In: <i>23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Torino, Italy, 2018","ieee":"C.-A. Holst and V. Lohweg, “A Conflict-Based Drift Detection And Adaptation Approach for Multisensor Information Fusion,” in <i>23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, Torino, Italy, 2018.","ama":"Holst C-A, Lohweg V. A Conflict-Based Drift Detection And Adaptation Approach for Multisensor Information Fusion. In: <i>23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Torino, Italy; 2018. doi:<a href=\"https://doi.org/10.1109/ETFA.2018.8502571\">10.1109/ETFA.2018.8502571</a>"},"title":"A Conflict-Based Drift Detection And Adaptation Approach for Multisensor Information Fusion"},{"publication":"ACM International Conference on Computing Frontiers 2018","publication_identifier":{"eisbn":["978-1-4503-5761-6"]},"date_created":"2019-11-25T08:35:50Z","type":"conference","user_id":"15514","date_updated":"2023-03-15T13:49:38Z","oa":"1","place":"ACM","language":[{"iso":"eng"}],"_id":"2009","doi":"10.1145/3203217.3203228","title":"Supporting Sensor Orchestration in Non-Stationary Environments","citation":{"ama":"Holst C-A, Lohweg V. Supporting Sensor Orchestration in Non-Stationary Environments. In: <i>ACM International Conference on Computing Frontiers 2018</i>. ACM:  New York, NY ; 2018:363-370. doi:<a href=\"https://doi.org/10.1145/3203217.3203228\">10.1145/3203217.3203228</a>","ieee":"C.-A. Holst and V. Lohweg, “Supporting Sensor Orchestration in Non-Stationary Environments,” in <i>ACM International Conference on Computing Frontiers 2018</i>, Ischia, Italy, 2018, pp. 363–370.","short":"C.-A. Holst, V. Lohweg, in: ACM International Conference on Computing Frontiers 2018,  New York, NY , ACM, 2018, pp. 363–370.","chicago-de":"Holst, Christoph-Alexander und Volker Lohweg. 2018. Supporting Sensor Orchestration in Non-Stationary Environments. In: <i>ACM International Conference on Computing Frontiers 2018</i>, 363–370. ACM:  New York, NY . doi:<a href=\"https://doi.org/10.1145/3203217.3203228,\">10.1145/3203217.3203228,</a> .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Holst, Christoph-Alexander</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span>: Supporting Sensor Orchestration in Non-Stationary Environments. In: <i>ACM International Conference on Computing Frontiers 2018</i>. ACM :  New York, NY , 2018, S. 363–370","van":"Holst C-A, Lohweg V. Supporting Sensor Orchestration in Non-Stationary Environments. In: ACM International Conference on Computing Frontiers 2018. ACM:  New York, NY ; 2018. p. 363–70.","ufg":"<b>Holst, Christoph-Alexander/Lohweg, Volker (2018)</b>: Supporting Sensor Orchestration in Non-Stationary Environments, in: <i>ACM International Conference on Computing Frontiers 2018</i>, ACM, S. 363–370.","havard":"C.-A. Holst, V. Lohweg, Supporting Sensor Orchestration in Non-Stationary Environments, in: ACM International Conference on Computing Frontiers 2018,  New York, NY , ACM, 2018: pp. 363–370.","bjps":"<b>Holst C-A and Lohweg V</b> (2018) Supporting Sensor Orchestration in Non-Stationary Environments. <i>ACM International Conference on Computing Frontiers 2018</i>. ACM:  New York, NY , pp. 363–370.","mla":"Holst, Christoph-Alexander, and Volker Lohweg. “Supporting Sensor Orchestration in Non-Stationary Environments.” <i>ACM International Conference on Computing Frontiers 2018</i>,  New York, NY , 2018, pp. 363–70, doi:<a href=\"https://doi.org/10.1145/3203217.3203228\">10.1145/3203217.3203228</a>.","apa":"Holst, C.-A., &#38; Lohweg, V. (2018). Supporting Sensor Orchestration in Non-Stationary Environments. In <i>ACM International Conference on Computing Frontiers 2018</i> (pp. 363–370). ACM:  New York, NY . <a href=\"https://doi.org/10.1145/3203217.3203228\">https://doi.org/10.1145/3203217.3203228</a>","chicago":"Holst, Christoph-Alexander, and Volker Lohweg. “Supporting Sensor Orchestration in Non-Stationary Environments.” In <i>ACM International Conference on Computing Frontiers 2018</i>, 363–70. ACM:  New York, NY , 2018. <a href=\"https://doi.org/10.1145/3203217.3203228\">https://doi.org/10.1145/3203217.3203228</a>."},"author":[{"last_name":"Holst","id":"64782","full_name":"Holst, Christoph-Alexander","first_name":"Christoph-Alexander"},{"last_name":"Lohweg","id":"1804","full_name":"Lohweg, Volker","first_name":"Volker","orcid":"0000-0002-3325-7887"}],"year":2018,"main_file_link":[{"url":"https://dl.acm.org/ft_gateway.cfm?id=3203228&ftid=1990918&dwn=1&CFID=118496599&CFTOKEN=78ae977fe9bab251-FBE29E78-FC08-9C3A-B5261CFF94BFEF7E","open_access":"1"}],"conference":{"name":"18 Proceedings of the 15th ACM International Conference on Computing ","location":"Ischia, Italy","start_date":"2018-05-08","end_date":"2018-05-10"},"department":[{"_id":"DEP5023"}],"abstract":[{"lang":"eng","text":"The aim of sensor orchestration is to design and organise multi-sensor systems both to reduce manual design efforts and to facilitate complex sensor systems. A sensor orchestration is required to adapt to non-stationary environments, even if it is applied in streaming data scenarios where labelled data are scarce or not available. Without labels in dynamic environments, it is challenging to determine not only the accuracy of a classifier but also its reliability. This contribution proposes monitoring algorithms intended to support sensor orchestration in classification tasks in non-stationary environments. Proposed measures regard the relevance of features, the separability of classes, and the classifier's reliability. The proposed monitoring algorithms are evaluated regarding their applicability in the scope of a publicly available and synthetically created collection of datasets. It is shown that the approach (i) is able to distinguish relevant from irrelevant features, (ii) measures class separability as class representations drift through feature space, and (iii) marks a classifier as unreliable if errors in the drift-adaptation occur."}],"status":"public","page":"363 - 370","publisher":" New York, NY "},{"status":"public","year":2017,"main_file_link":[{"open_access":"1","url":"https://www.mdpi.com/1424-8220/17/3/601/htm"}],"author":[{"full_name":"Fritze, Alexander","last_name":"Fritze","first_name":"Alexander"},{"id":"1825","last_name":"Mönks","full_name":"Mönks, Uwe","first_name":"Uwe"},{"last_name":"Holst","id":"64782","full_name":"Holst, Christoph-Alexander","first_name":"Christoph-Alexander"},{"orcid":"0000-0002-3325-7887","first_name":"Volker","full_name":"Lohweg, Volker","id":"1804","last_name":"Lohweg"}],"citation":{"van":"Fritze A, Mönks U, Holst C-A, Lohweg V. An Approach to Automated Fusion System Design and Adaptation. Sensors. 2017;17(3).","havard":"A. Fritze, U. Mönks, C.-A. Holst, V. Lohweg, An Approach to Automated Fusion System Design and Adaptation, Sensors. 17 (2017).","bjps":"<b>Fritze A <i>et al.</i></b> (2017) An Approach to Automated Fusion System Design and Adaptation. <i>Sensors</i> <b>17</b>.","mla":"Fritze, Alexander, et al. “An Approach to Automated Fusion System Design and Adaptation.” <i>Sensors</i>, vol. 17, no. 3, 601, 2017, doi:<a href=\"https://doi.org/ https://doi.org/10.3390/s17030601\"> https://doi.org/10.3390/s17030601</a>.","ufg":"<b>Fritze, Alexander et. al. (2017)</b>: An Approach to Automated Fusion System Design and Adaptation, in: <i>Sensors</i> <i>17</i> (<i>3</i>).","apa":"Fritze, A., Mönks, U., Holst, C.-A., &#38; Lohweg, V. (2017). An Approach to Automated Fusion System Design and Adaptation. <i>Sensors</i>, <i>17</i>(3). <a href=\"https://doi.org/ https://doi.org/10.3390/s17030601\">https://doi.org/ https://doi.org/10.3390/s17030601</a>","chicago":"Fritze, Alexander, Uwe Mönks, Christoph-Alexander Holst, and Volker Lohweg. “An Approach to Automated Fusion System Design and Adaptation.” <i>Sensors</i> 17, no. 3 (2017). <a href=\"https://doi.org/ https://doi.org/10.3390/s17030601\">https://doi.org/ https://doi.org/10.3390/s17030601</a>.","short":"A. Fritze, U. Mönks, C.-A. Holst, V. Lohweg, Sensors 17 (2017).","chicago-de":"Fritze, Alexander, Uwe Mönks, Christoph-Alexander Holst und Volker Lohweg. 2017. An Approach to Automated Fusion System Design and Adaptation. <i>Sensors</i> 17, Nr. 3. doi:<a href=\"https://doi.org/ https://doi.org/10.3390/s17030601,\"> https://doi.org/10.3390/s17030601,</a> .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Fritze, Alexander</span> ; <span style=\"font-variant:small-caps;\">Mönks, Uwe</span> ; <span style=\"font-variant:small-caps;\">Holst, Christoph-Alexander</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span>: An Approach to Automated Fusion System Design and Adaptation. In: <i>Sensors</i> Bd. 17 (2017), Nr. 3","ama":"Fritze A, Mönks U, Holst C-A, Lohweg V. An Approach to Automated Fusion System Design and Adaptation. <i>Sensors</i>. 2017;17(3). doi:<a href=\"https://doi.org/ https://doi.org/10.3390/s17030601\"> https://doi.org/10.3390/s17030601</a>","ieee":"A. Fritze, U. Mönks, C.-A. Holst, and V. Lohweg, “An Approach to Automated Fusion System Design and Adaptation,” <i>Sensors</i>, vol. 17, no. 3, 2017."},"volume":17,"title":"An Approach to Automated Fusion System Design and Adaptation","language":[{"iso":"eng"}],"keyword":["information fusion","intelligent sensor","knowledge-based system","self-configuration","sensor fusion"],"oa":"1","date_updated":"2023-03-15T13:49:38Z","date_created":"2019-11-25T08:52:14Z","publication":"Sensors","publication_identifier":{"issn":["1424-8220"]},"department":[{"_id":"DEP5023"}],"abstract":[{"text":"Industrial applications are in transition towards modular and flexible architectures that are capable of self-configuration and -optimisation. This is due to the demand of mass customisation and the increasing complexity of industrial systems. The conversion to modular systems is related to challenges in all disciplines. Consequently, diverse tasks such as information processing, extensive networking, or system monitoring using sensor and information fusion systems need to be reconsidered. The focus of this contribution is on distributed sensor and information fusion systems for system monitoring, which must reflect the increasing flexibility of fusion systems. This contribution thus proposes an approach, which relies on a network of self-descriptive intelligent sensor nodes, for the automatic design and update of sensor and information fusion systems. This article encompasses the fusion system configuration and adaptation as well as communication aspects. Manual interaction with the flexibly changing system is reduced to a minimum.","lang":"eng"}],"issue":"3","publication_status":"published","article_number":"601","doi":" https://doi.org/10.3390/s17030601","_id":"2014","user_id":"15514","intvolume":"        17","type":"journal_article"},{"publisher":"27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA)","page":"279-295","status":"public","abstract":[{"lang":"eng","text":"Applying information fusion systems aims at gaining information of higher quality and simultaneously decreasing computational and communicational efforts. An increased availability of sensors in industrial machines, but also in everyday life, results in large amounts of potential features. Each feature entails computational and communicational costs. An information fusion system may not require all features, supported by the available sensors, to fulfil its purpose. Feature selection methods reduce the amount of features with the aim to maintain or even increase performance. This contribution proposes a feature selection approach exploiting the inherent conflict between features and utilising a state-ofthe-art information fusion operator. The performance of the proposed method is evaluated in the scope of a publicly available data set and benchmarked against an established feature selection method. It is shown that the proposed approach is faster and produces more accurate feature subsets containing very few features, although the established method produces slightly better performing subsets for large feature subsets."}],"conference":{"name":"27. Workshop Computational Intelligence ","location":"Dortmund","end_date":"2017-11-24","start_date":"2017-11-23"},"department":[{"_id":"DEP5023"}],"year":2017,"author":[{"full_name":"Holst, Christoph-Alexander","first_name":"Christoph-Alexander","last_name":"Holst","id":"64782"},{"last_name":"Mönks","first_name":"Uwe","full_name":"Mönks, Uwe","id":"1825"},{"orcid":"0000-0002-3325-7887","first_name":"Volker","id":"1804","last_name":"Lohweg","full_name":"Lohweg, Volker"}],"main_file_link":[{"open_access":"1","url":"https://d-nb.info/1147444048/34#page=291"}],"publication_status":"published","citation":{"chicago-de":"Holst, Christoph-Alexander, Uwe Mönks und Volker Lohweg. 2017. Conflict-based Feature Selection for Information Fusion Systems. In: , 279–295. Dortmund: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA). doi:<a href=\"https://doi.org/10.5445/KSP/1000074341,\">10.5445/KSP/1000074341,</a> .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Holst, Christoph-Alexander</span> ; <span style=\"font-variant:small-caps;\">Mönks, Uwe</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span>: Conflict-based Feature Selection for Information Fusion Systems. In: . Dortmund : 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 2017, S. 279–295","short":"C.-A. Holst, U. Mönks, V. Lohweg, in: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Dortmund, 2017, pp. 279–295.","chicago":"Holst, Christoph-Alexander, Uwe Mönks, and Volker Lohweg. “Conflict-Based Feature Selection for Information Fusion Systems,” 279–95. Dortmund: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 2017. <a href=\"https://doi.org/10.5445/KSP/1000074341\">https://doi.org/10.5445/KSP/1000074341</a>.","ieee":"C.-A. Holst, U. Mönks, and V. Lohweg, “Conflict-based Feature Selection for Information Fusion Systems,” presented at the 27. Workshop Computational Intelligence , Dortmund, 2017, pp. 279–295.","apa":"Holst, C.-A., Mönks, U., &#38; Lohweg, V. (2017). Conflict-based Feature Selection for Information Fusion Systems (pp. 279–295). Presented at the 27. Workshop Computational Intelligence , Dortmund: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA). <a href=\"https://doi.org/10.5445/KSP/1000074341\">https://doi.org/10.5445/KSP/1000074341</a>","mla":"Holst, Christoph-Alexander, et al. <i>Conflict-Based Feature Selection for Information Fusion Systems</i>. 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 2017, pp. 279–95, doi:<a href=\"https://doi.org/10.5445/KSP/1000074341\">10.5445/KSP/1000074341</a>.","havard":"C.-A. Holst, U. Mönks, V. Lohweg, Conflict-based Feature Selection for Information Fusion Systems, in: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Dortmund, 2017: pp. 279–295.","bjps":"<b>Holst C-A, Mönks U and Lohweg V</b> (2017) Conflict-Based Feature Selection for Information Fusion Systems. Dortmund: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), pp. 279–295.","ufg":"<b>Holst, Christoph-Alexander et. al. (2017)</b>: Conflict-based Feature Selection for Information Fusion Systems, in: , Dortmund, S. 279–295.","ama":"Holst C-A, Mönks U, Lohweg V. Conflict-based Feature Selection for Information Fusion Systems. In: Dortmund: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA); 2017:279-295. doi:<a href=\"https://doi.org/10.5445/KSP/1000074341\">10.5445/KSP/1000074341</a>","van":"Holst C-A, Mönks U, Lohweg V. Conflict-based Feature Selection for Information Fusion Systems. In Dortmund: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA); 2017. p. 279–95."},"title":"Conflict-based Feature Selection for Information Fusion Systems","doi":"10.5445/KSP/1000074341","_id":"2018","language":[{"iso":"eng"}],"place":"Dortmund","oa":"1","date_updated":"2023-03-15T13:49:38Z","user_id":"15514","type":"conference","date_created":"2019-11-25T09:06:44Z","publication_identifier":{"eisbn":["978-3-7315-0726-0"]}}]