TY - JOUR A1 - Schleif, Frank-Michael A1 - Villmann, Thomas A1 - Ongyerth, Matthias T1 - Supervised data analysis and reliability estimation with exemplary application for spectral data JF - Neurocomputing Y1 - 2009 U6 - https://doi.org/10.1016/j.neucom.2008.12.040 VL - 72 IS - 16-18 SP - 3590 EP - 3601 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Villmann, Thomas T1 - Neural Maps and Learning Vector Quantization - Theory and Applications T2 - 17th European Symposium on Artificial Neural Networks, ESANN 2009, Bruges, Belgium, April 22-24, 2009, Proceedings Y1 - 2009 ER - TY - CHAP A1 - Münch, Maximilian A1 - Straat, Michiel A1 - Biehl, Michael A1 - Schleif, Frank-Michael ED - Torsello, Andrea ED - Rossi, Luca ED - Pelillo, Marcello ED - Biggio, Battista ED - Robles-Kelly, Antonio T1 - Complex-Valued Embeddings of Generic Proximity Data T2 - Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshops, S+SSPR 2020, Padua, Italy, January 21-22, 2021, Proceedings Y1 - 2020 U6 - https://doi.org/10.1007/978-3-030-73973-7_2 SP - 14 EP - 23 ER - TY - CHAP A1 - Heusinger, Moritz A1 - Schleif, Frank-Michael ED - Rutkowski, Leszek ED - Scherer, Rafal ED - Korytkowski, Marcin ED - Pedrycz, Witold ED - Tadeusiewicz, Ryszard ED - Zurada, Jacek M. T1 - Random Projection in the Presence of Concept Drift in Supervised Environments T2 - Artificial Intelligence and Soft Computing - 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part I Y1 - 2020 U6 - https://doi.org/10.1007/978-3-030-61401-0_48 SP - 514 EP - 524 ER - TY - CHAP A1 - Oneto, Luca A1 - Bunte, Kerstin A1 - Schleif, Frank-Michael T1 - Advances in artificial neural networks, machine learning and computational intelligence: Selected papers from the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018) T2 - Neurocomputing Y1 - 2019 U6 - https://doi.org/https://doi.org/10.1016/j.neucom.2019.01.081 VL - 342 SP - 1 EP - 5 ER - TY - CHAP A1 - Münch, Maximilian A1 - Raab, Christoph A1 - Schleif, Frank-Michael ED - De Marsico, Maria ED - Sanniti di Baja, Gabriella ED - Fred, Ana L. N. T1 - Encoding of Indefinite Proximity Data: A Structure Preserving Perspective T2 - Pattern Recognition Applications and Methods - 9th International Conference, ICPRAM 2020, Valletta, Malta, February 22-24, 2020, Revised Selected Papers Y1 - 2020 U6 - https://doi.org/10.1007/978-3-030-66125-0_7 SP - 112 EP - 137 ER - TY - CHAP A1 - Münch, Maximilian A1 - Raab, Christoph A1 - Biehl, Michael A1 - Schleif, Frank-Michael ED - De Marsico, Maria ED - Sanniti di Baja, Gabriella ED - Fred, Ana L. N. T1 - Structure Preserving Encoding of Non-euclidean Similarity Data T2 - Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2020, Valletta, Malta, February 22-24, 2020 Y1 - 2020 U6 - https://doi.org/10.5220/0008955100430051 SP - 43 EP - 51 ER - TY - CHAP A1 - Raab, Christoph A1 - Schleif, Frank-Michael ED - Schmid, Ute ED - Klügl, Franziska ED - Wolter, Diedrich T1 - Low-Rank Subspace Override for Unsupervised Domain Adaptation T2 - KI 2020: Advances in Artificial Intelligence - 43rd German Conference on AI, Bamberg, Germany, September 21-25, 2020, Proceedings Y1 - 2020 U6 - https://doi.org/10.1007/978-3-030-58285-2_10 SP - 132 EP - 147 ER - TY - CHAP A1 - Heusinger, Moritz A1 - Schleif, Frank-Michael T1 - Reactive Concept Drift Detection Using Coresets Over Sliding Windows T2 - 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, Canberra, Australia, December 1-4, 2020 Y1 - 2020 U6 - https://doi.org/10.1109/SSCI47803.2020.9308521 SP - 1350 EP - 1355 ER - TY - CHAP A1 - Heusinger, Moritz A1 - Raab, Christoph A1 - Schleif, Frank-Michael ED - Vellido, Alfredo ED - Gibert, Karina ED - Angulo, Cecilio ED - David Martı́n-Guerrero, José T1 - Passive Concept Drift Handling via Momentum Based Robust Soft Learning Vector Quantization T2 - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization - Proceedings of the 13th International Workshop, WSOM+ 2019, Barcelona, Spain, June 26-28, 2019 Y1 - 2019 U6 - https://doi.org/10.1007/978-3-030-19642-4_20 SP - 200 EP - 209 ER - TY - CHAP A1 - Münch, Maximilian A1 - Schleif, Frank-Michael ED - Rojas, Ignacio ED - Joya, Gonzalo ED - Català, Andreu T1 - Device-Free Passive Human Counting with Bluetooth Low Energy Beacons T2 - Advances in Computational Intelligence - 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part II Y1 - 2019 U6 - https://doi.org/10.1007/978-3-030-20518-8_66 SP - 799 EP - 810 ER - TY - CHAP A1 - Münch, Maximilian A1 - Huffstadt, Karsten A1 - Schleif, Frank-Michael T1 - Towards a device-free passive presence detection system with Bluetooth Low Energy beacons T2 - 27th European Symposium on Artificial Neural Networks, ESANN 2019, Bruges, Belgium, April 24-26, 2019 Y1 - 2019 ER - TY - JOUR A1 - Mohammadi, Mohammad A1 - Petkov, Nicolai A1 - Bunte, Kerstin A1 - Peletier, Reynier F. A1 - Schleif, Frank-Michael T1 - Globular cluster detection in the GAIA survey JF - Neurocomputing Y1 - 2019 U6 - https://doi.org/10.1016/j.neucom.2018.10.081 VL - 342 SP - 164 EP - 171 ER - TY - CHAP A1 - Bifet, Albert A1 - Hammer, Barbara A1 - Schleif, Frank-Michael T1 - Recent trends in streaming data analysis, concept drift and analysis of dynamic data sets T2 - 27th European Symposium on Artificial Neural Networks, ESANN 2019, Bruges, Belgium, April 24-26, 2019 Y1 - 2019 ER - TY - CHAP A1 - Raab, Christoph A1 - Heusinger, Moritz A1 - Schleif, Frank-Michael T1 - Reactive Soft Prototype Computing for frequent reoccurring Concept Drift T2 - 27th European Symposium on Artificial Neural Networks, ESANN 2019, Bruges, Belgium, April 24-26, 2019 Y1 - 2019 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Raab, Christoph A1 - Tiño, Peter ED - Bai, Xiao ED - Hancock, Edwin R. ED - Kam Ho, Tin ED - Wilson, Richard C. ED - Biggio, Battista ED - Robles-Kelly, Antonio T1 - Sparsification of Indefinite Learning Models T2 - Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018, Proceedings Y1 - 2018 U6 - https://doi.org/10.1007/978-3-319-97785-0_17 SP - 173 EP - 183 ER - TY - CHAP A1 - Raab, Christoph A1 - Schleif, Frank-Michael ED - Gammerman, Alex J. ED - Vovk, Vladimir ED - Luo, Zhiyuan ED - Smirnov, Evgueni N. ED - Peeters, Ralf L. M. T1 - Transfer learning for the probabilistic classification vector machine T2 - 7th Symposium on Conformal and Probabilistic Prediction and Applications, COPA 2018, 11-13 June 2018, Maastricht, The Netherlands Y1 - 2018 VL - 91 SP - 187 EP - 200 ER - TY - CHAP A1 - Raab, Christoph A1 - Schleif, Frank-Michael ED - Trollmann, Frank ED - Turhan, Anni-Yasmin T1 - Sparse Transfer Classification for Text Documents T2 - KI 2018: Advances in Artificial Intelligence - 41st German Conference on AI, Berlin, Germany, September 24-28, 2018, Proceedings Y1 - 2018 U6 - https://doi.org/10.1007/978-3-030-00111-7_15 SP - 169 EP - 181 ER - TY - CHAP A1 - Mohammadi, Mohammad A1 - Peletier, Reynier A1 - Schleif, Frank-Michael A1 - Petkov, Nicolai A1 - Bunte, Kerstin T1 - Globular Cluster Detection in the Gaia Survey T2 - 26th European Symposium on Artificial Neural Networks, ESANN 2018, Bruges, Belgium, April 25-27, 2018 Y1 - 2018 ER - TY - JOUR A1 - Schleif, Frank-Michael A1 - Gisbrecht, Andrej A1 - Tiño, Peter T1 - Supervised low rank indefinite kernel approximation using minimum enclosing balls JF - Neurocomputing Y1 - 2018 U6 - https://doi.org/10.1016/j.neucom.2018.08.057 VL - 318 SP - 213 EP - 226 ER - TY - JOUR A1 - Raab, Christoph A1 - Röder, Manuel A1 - Schleif, Frank-Michael T1 - Domain adversarial tangent subspace alignment for explainable domain adaptation JF - Neurocomputing Y1 - 2022 U6 - https://doi.org/10.1016/j.neucom.2022.07.074 VL - 506 SP - 418 EP - 429 ER - TY - JOUR A1 - Schleif, Frank-Michael A1 - Tiño, Peter T1 - Indefinite Core Vector Machine JF - Pattern Recognition Y1 - 2017 U6 - https://doi.org/10.1016/j.patcog.2017.06.003 VL - 71 SP - 187 EP - 195 ER - TY - CHAP A1 - Villmann, Thomas A1 - Haase, Sven A1 - Schleif, Frank-Michael A1 - Hammer, Barbara ED - Rutkowski, Leszek ED - Scherer, Rafal ED - Tadeusiewicz, Ryszard ED - Zadeh, Lotfi A. ED - Zurada, Jacek M. T1 - Divergence Based Online Learning in Vector Quantization T2 - Artificial Intelligence and Soft Computing, 10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part I Y1 - 2010 U6 - https://doi.org/10.1007/978-3-642-13208-7\_60 VL - 6113 SP - 479 EP - 486 ER - TY - JOUR A1 - Schleif, Frank-Michael A1 - Villmann, Thomas A1 - Kostrzewa, Markus A1 - Hammer, Barbara A1 - Gammerman, Alexander T1 - Cancer informatics by prototype networks in mass spectrometry JF - Artificial Intelligence in Medicine Y1 - 2009 U6 - https://doi.org/10.1016/j.artmed.2008.07.018 VL - 45 IS - 2-3 SP - 215 EP - 228 ER - TY - JOUR A1 - Simmuteit, Stephan A1 - Schleif, Frank-Michael A1 - Villmann, Thomas A1 - Hammer, Barbara T1 - Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints JF - Knowledge and Information Systems Y1 - 2010 U6 - https://doi.org/10.1007/s10115-009-0249-4 VL - 25 IS - 2 SP - 327 EP - 343 ER - TY - CHAP A1 - Zühlke, Dietlind A1 - Schleif, Frank-Michael A1 - Geweniger, Tina A1 - Haase, Sven A1 - Villmann, Thomas T1 - Learning vector quantization for heterogeneous structured data T2 - 18th European Symposium on Artificial Neural Networks, ESANN 2010, Bruges, Belgium, April 28-30, 2010, Proceedings Y1 - 2010 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Gisbrecht, Andrej A1 - Tiño, Peter ED - Feragen, Aasa ED - Pelillo, Marcello ED - Loog, Marco T1 - Large Scale Indefinite Kernel Fisher Discriminant T2 - Similarity-Based Pattern Recognition - Third International Workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015, Proceedings Y1 - 2015 U6 - https://doi.org/10.1007/978-3-319-24261-3_13 SP - 160 EP - 170 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Chen, H. A1 - Tiño, Peter T1 - Incremental probabilistic classification vector machine with linear costs T2 - 2015 International Joint Conference on Neural Networks, IJCNN 2015, Killarney, Ireland, July 12-17, 2015 Y1 - 2015 U6 - https://doi.org/10.1109/IJCNN.2015.7280377 SP - 1 EP - 8 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Gisbrecht, Andrej A1 - Tiño, Peter T1 - Probabilistic Classification Vector Machine at large scale T2 - 23rd European Symposium on Artificial Neural Networks, ESANN 2015, Bruges, Belgium, April 22-24, 2015 Y1 - 2015 ER - TY - CHAP A1 - Villmann, Thomas A1 - Schleif, Frank-Michael A1 - Hammer, Barbara T1 - Sparse representation of data T2 - 18th European Symposium on Artificial Neural Networks, ESANN 2010, Bruges, Belgium, April 28-30, 2010, Proceedings Y1 - 2010 ER - TY - JOUR A1 - Angulo, Cecilio A1 - Aldo Lee, John A1 - Schleif, Frank-Michael T1 - Advances in computational intelligence and learning (ESANN 2009) JF - Neurocomputing Y1 - 2010 U6 - https://doi.org/10.1016/j.neucom.2009.12.020 VL - 73 IS - 7-9 SP - 1049 EP - 1050 ER - TY - JOUR A1 - Mokbel, Bassam A1 - Paaßen, Benjamin A1 - Schleif, Frank-Michael A1 - Hammer, Barbara T1 - Metric learning for sequences in relational LVQ JF - Neurocomputing Y1 - 2015 U6 - https://doi.org/10.1016/j.neucom.2014.11.082 VL - 169 SP - 306 EP - 322 ER - TY - JOUR A1 - Schleif, Frank-Michael A1 - Tiño, Peter T1 - Indefinite Proximity Learning: A Review JF - Neural Compututation Y1 - 2015 U6 - https://doi.org/10.1162/NECO_a_00770 VL - 27 IS - 10 SP - 2039 EP - 2096 ER - TY - CHAP A1 - Hartmann, Jürgen A1 - Dobhan, Alexander A1 - Engelmann, Bastian A1 - Eberhardt, Lars A1 - Heusinger, Moritz A1 - Raab, C A1 - Schleif, Frank-Michael A1 - Türk, M. T1 - Optimierung von Prozessen und Werkzeugmaschinen durch Bereitstellung, Analyse und Soll-Ist-Vergleich von Produktionsdaten: Digitalkonferenz Y1 - 2020 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Villmann, Thomas A1 - Hammer, Barbara A1 - Schneider, Petra A1 - Biehl, Michael ED - Fyfe, Colin ED - Tiño, Peter ED - Charles, Darryl ED - Ignacio Garcı́a-Osorio, César ED - Yin, Hujun T1 - Generalized Derivative Based Kernelized Learning Vector Quantization T2 - Intelligent Data Engineering and Automated Learning - IDEAL 2010, 11th International Conference, Paisley, UK, September 1-3, 2010. Proceedings Y1 - 2010 U6 - https://doi.org/10.1007/978-3-642-15381-5_3 SP - 21 EP - 28 ER - TY - CHAP A1 - Villmann, Thomas A1 - Haase, Sven A1 - Schleif, Frank-Michael A1 - Hammer, Barbara A1 - Biehl, Michael ED - Schwenker, Friedhelm ED - El Gayar, Neamat T1 - The Mathematics of Divergence Based Online Learning in Vector Quantization T2 - Artificial Neural Networks in Pattern Recognition, 4th IAPR TC3 Workshop, ANNPR 2010, Cairo, Egypt, April 11-13, 2010. Proceedings Y1 - 2010 U6 - https://doi.org/10.1007/978-3-642-12159-3_10 SP - 108 EP - 119 ER - TY - JOUR A1 - Schleif, Frank-Michael A1 - Riemer, T. A1 - Börner, U. A1 - Schnapka-Hille, L. A1 - Cross, Michael T1 - Genetic algorithm for shift-uncertainty correction in 1-D NMR-based metabolite identifications and quantifications JF - Bioinformatics Y1 - 2011 U6 - https://doi.org/10.1093/bioinformatics/btq661 VL - 27 IS - 4 SP - 524 EP - 533 ER - TY - JOUR A1 - Mwebaze, Ernest A1 - Schneider, Petra A1 - Schleif, Frank-Michael A1 - Aduwo, Jennifer R. A1 - Quinn, John A. A1 - Haase, Sven A1 - Villmann, Thomas A1 - Biehl, Michael T1 - Divergence-based classification in learning vector quantization JF - Neurocomputing Y1 - 2011 U6 - https://doi.org/10.1016/j.neucom.2010.10.016 VL - 74 IS - 9 SP - 1429 EP - 1435 ER - TY - CHAP A1 - Schneider, Petra A1 - Schleif, Frank-Michael A1 - Villmann, Thomas A1 - Biehl, Michael T1 - Generalized matrix learning vector quantizer for the analysis of spectral data T2 - 16th European Symposium on Artificial Neural Networks, ESANN 2008, Bruges, Belgium, April 23-25, 2008, Proceedings Y1 - 2008 SP - 451 EP - 456 ER - TY - CHAP A1 - Mwebaze, Ernest A1 - Schneider, Petra A1 - Schleif, Frank-Michael A1 - Haase, Sven A1 - Villmann, Thomas A1 - Biehl, Michael T1 - Divergence based Learning Vector Quantization T2 - 18th European Symposium on Artificial Neural Networks, ESANN 2010, Bruges, Belgium, April 28-30, 2010, Proceedings Y1 - 2010 ER - TY - CHAP A1 - Schneider, Petra A1 - Geweniger, Tina A1 - Schleif, Frank-Michael A1 - Biehl, Michael A1 - Villmann, Thomas T1 - Multivariate class labeling in Robust Soft LVQ T2 - 19th European Symposium on Artificial Neural Networks, ESANN 2011, Bruges, Belgium, April 27-29, 2011, Proceedings Y1 - 2011 ER - TY - JOUR A1 - Schleif, Frank-Michael A1 - Biehl, Michael A1 - Vellido, Alfredo T1 - Advances in machine learning and computational intelligence JF - Neurocomputing Y1 - 2009 U6 - https://doi.org/10.1016/j.neucom.2008.12.013 VL - 72 IS - 7-9 SP - 1377 EP - 1378 ER - TY - JOUR A1 - Biehl, Michael A1 - Ghio, Alessandro A1 - Schleif, Frank-Michael T1 - Developments in computational intelligence and machine learning JF - Neurocomputing Y1 - 2015 U6 - https://doi.org/10.1016/j.neucom.2015.03.062 VL - 169 SP - 185 EP - 186 ER - TY - JOUR A1 - Schleif, Frank-Michael A1 - Hammer, Barbara A1 - Gonzalez Monroy, Javier A1 - González Jiménez, Javier A1 - Blanco-Claraco, José-Luis A1 - Biehl, Michael A1 - Petkov, Nicolai T1 - Odor recognition in robotics applications by discriminative time-series modeling JF - Pattern Analysis and Applications Y1 - 2016 U6 - https://doi.org/10.1007/s10044-014-0442-2 VL - 19 IS - 1 SP - 207 EP - 220 ER - TY - CHAP A1 - Biehl, Michael A1 - Bunte, Kerstin A1 - Schleif, Frank-Michael A1 - Schneider, Petra A1 - Villmann, Thomas T1 - Large margin linear discriminative visualization by Matrix Relevance Learning T2 - The 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, June 10-15, 2012 Y1 - 2012 U6 - https://doi.org/10.1109/IJCNN.2012.6252627 SP - 1 EP - 8 ER - TY - JOUR A1 - Bunte, Kerstin A1 - Schneider, Petra A1 - Hammer, Barbara A1 - Schleif, Frank-Michael A1 - Villmann, Thomas A1 - Biehl, Michael T1 - Limited Rank Matrix Learning, discriminative dimension reduction and visualization JF - Neural Networks Y1 - 2012 U6 - https://doi.org/10.1016/j.neunet.2011.10.001 VL - 26 SP - 159 EP - 173 ER - TY - JOUR A1 - Münch, Maximilian A1 - Raab, Christoph A1 - Biehl, Michael A1 - Schleif, Frank-Michael T1 - Data-Driven Supervised Learning for Life Science Data JF - Frontiers in Applied Mathematics and Statistics Y1 - 2020 U6 - https://doi.org/10.3389/fams.2020.553000 VL - 6 SP - 553000 EP - 553000 ER - TY - CHAP A1 - Bunte, Kerstin A1 - Schleif, Frank-Michael A1 - Biehl, Michael T1 - Adaptive learning for complex-valued data T2 - 20th European Symposium on Artificial Neural Networks, ESANN 2012, Bruges, Belgium, April 25-27, 2012 Y1 - 2012 ER - TY - CHAP A1 - Biehl, Michael A1 - Hammer, Barbara A1 - Schleif, Frank-Michael A1 - Schneider, Petra A1 - Villmann, Thomas T1 - Stationarity of Matrix Relevance LVQ T2 - 2015 International Joint Conference on Neural Networks, IJCNN 2015, Killarney, Ireland, July 12-17, 2015 Y1 - 2015 U6 - https://doi.org/10.1109/IJCNN.2015.7280441 SP - 1 EP - 8 ER - TY - JOUR A1 - Münch, Maximilian A1 - Straat, Michiel A1 - Biehl, Michael A1 - Schleif, Frank-Michael T1 - Complex-valued embeddings of generic proximity data JF - CoRR Y1 - 2020 VL - abs/2008.13454 ER - TY - JOUR A1 - Hofmann, Jan A1 - Eberhardt, Lars A1 - Heusinger, Moritz A1 - Dobhan, Alexander A1 - Engelmann, Bastian A1 - Schleif, Frank-Michael T1 - Optimierung von Prozessen und Werkzeugmaschinen durch Bereitstellung, Analyse und Soll-Ist-Vergleich von Produktionsdaten JF - FHWS Science Journal N2 - Mit einem Umsatz von 103 Milliarden Euro ist die Metallindustrie eine der größten deutschen Industriebranchen. Diese ist von volatilen Marktbedingungen und hohem Wettbewerb geprägt [1][2]. Kleine und mittlere produzierende Unternehmen (sogenannte KMU) sehen zunehmend gravierende Probleme bei der Einhaltung von Lieferterminen bedingt durch hohe Durchlaufzeiten in der Produktion [3]. Neben kaufmännischen Planungssystemen zur Erstellung von Produktionsplänen nutzen Unternehmen als Planungsgrundlage weiterhin Excel mit 31 % und manuelle Prozesse mit 10 % [4]. Gleiches gilt für Produktwechselvorgänge auf Maschinen (Rüsten). Aufgrund dieser Aspekte ist es notwendig, die Rentabilität der KMU in der Metallindustrie zu steigern. Das wird durch effiziente Produktionsplanung und -steuerung, sowie der daraus resultierenden hohen Reaktionsfähigkeit und Flexibilität realisiert. Daher ist die Produktionsplanung auf die Markt- und Kundenanforderungen und die Anlageneffektivität auf ein hohes und stabiles Niveau auszurichten [5]. Hier bietet die Erfassung von Echtzeitdaten eine adäquate Reaktion auf die genannten Anforderungen. Ebenfalls liefert sie großes Potenzial für die Produktionsplanung und -steuerung, um die Disposition und Koordination von Arbeitsaufträgen zu optimieren. Weiterhin werden Störgrößen oder unvorhergesehene Planungsabweichungen reduziert [4][6]. Zusätzlich ist eine erhöhte Transparenz und Verbesserung menschlicher Entscheidungsprozesse notwendig. Dies kann durch datengetriebene Methoden unterstützt und sichergestellt werden [7]. Ein Ansatz zur Optimierung des Produktionsergebnisses kann durch die Erhöhung der Anlagenproduktivität selbst realisiert werden. Dazu muss die Verfügbarkeit der Anlagen durch Lokalisierung und Reduzierung von Verlusten erhöht werden. Die Umrüstungsprozesse tragen stark negativ zur Verfügbarkeit einer Produktion bei. Eine Steigerung der Gesamtanlageneffektivität (overall equipment effectiveness oder kurz OEE) in einer Fertigungsumgebung ist jedoch möglich durch eine intelligente Nutzung von Sensordaten mit Techniken wie z. B. Machine Learning (ML). KW - produktionsdaten KW - metall Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:863-opus-20012 UR - https://nbn-resolving.org/urn:nbn:de:bvb:863-opus-19389 SN - 2196-6095 VL - 5 IS - 2 SP - 135 EP - 142 ER - TY - JOUR A1 - Schleif, Frank-Michael A1 - Zhu, Xibin A1 - Hammer, Barbara T1 - Sparse conformal prediction for dissimilarity data JF - Annals of Mathematics and Artificial Intelligence Y1 - 2015 U6 - https://doi.org/10.1007/s10472-014-9402-1 VL - 74 IS - 1-2 SP - 95 EP - 116 ER - TY - JOUR A1 - Gisbrecht, Andrej A1 - Schleif, Frank-Michael T1 - Metric and non-metric proximity transformations at linear costs JF - Neurocomputing Y1 - 2015 U6 - https://doi.org/10.1016/j.neucom.2015.04.017 VL - 167 SP - 643 EP - 657 ER - TY - JOUR A1 - Schleif, Frank-Michael T1 - Generic probabilistic prototype based classification of vectorial and proximity data JF - Neurocomputing Y1 - 2015 U6 - https://doi.org/10.1016/j.neucom.2014.12.002 VL - 154 SP - 208 EP - 216 ER -