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 - 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 - TY - CHAP A1 - Klehr, Lukas A1 - Engelmann, Bastian A1 - Schleif, Frank-Michael A1 - Regulin, Daniel ED - Iliadis, Lazaros S. ED - Maglogiannis, Ilias ED - Kyriacou, Efthyvoulos ED - Jayne, Chrisina T1 - Contextualized Segmentation of Milling Processes Using Discrete Rule-Based Pattern Recognition T2 - Engineering Applications of Neural Networks - 26th International Conference, EANN 2025, Limassol, Cyprus, June 26-29, 2025, Proceedings, Part II Y1 - 2025 U6 - https://doi.org/10.1007/978-3-031-96199-1\_18 VL - 2582 SP - 238 EP - 254 ER - TY - CHAP A1 - Münch, Maximilian A1 - Röder, Manuel A1 - Schleif, Frank-Michael ED - Frommholz, Ingo ED - Hopfgartner, Frank ED - Lee, Mark ED - Oakes, Michael ED - Lalmas, Mounia ED - Zhang, Min ED - Santos, Rodrygo L. T. T1 - Unlocking the Potential of Non-PSD Kernel Matrices: A Polar Decomposition-based Transformation for Improved Prediction Models T2 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 Y1 - 2023 U6 - https://doi.org/10.1145/3583780.3615102 SP - 1867 EP - 1876 ER - TY - CHAP A1 - Polato, Mirko A1 - Hammer, Barbara A1 - Schleif, Frank-Michael T1 - Machine learning in distributed, federated and non-stationary environments - recent trends T2 - 32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2024, Bruges, Belgium, October 9-11, 2024 Y1 - 2024 U6 - https://doi.org/10.14428/ESANN/2024.ES2024-3 ER - TY - JOUR 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) JF - Neurocomputing Y1 - 2019 U6 - https://doi.org/10.1016/J.NEUCOM.2019.01.081 VL - 342 SP - 1 EP - 5 ER - TY - CHAP A1 - Ewecker, Lukas A1 - Winkler, Timo A1 - Väth, Philipp A1 - Schwager, Robin A1 - Brühl, Tim A1 - Schleif, Frank-Michael T1 - How Important is the Temporal Context to Anticipate Oncoming Vehicles at Night? T2 - IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023, Honolulu, Oahu, HI, USA, October 1-4, 2023 Y1 - 2023 U6 - https://doi.org/10.1109/SMC53992.2023.10394461 SP - 1000 EP - 1007 ER - TY - CHAP A1 - Röder, Manuel A1 - Schleif, Frank-Michael T1 - Sparse Uncertainty-Informed Sampling from Federated Streaming Data T2 - 32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2024, Bruges, Belgium, October 9-11, 2024 Y1 - 2024 U6 - https://doi.org/10.14428/ESANN/2024.ES2024-9 ER - TY - JOUR A1 - Münch, Maximilian A1 - Röder, Manuel A1 - Heilig, Simon A1 - Raab, Christoph A1 - Schleif, Frank-Michael T1 - Static and adaptive subspace information fusion for indefinite heterogeneous proximity data JF - Neurocomputing Y1 - 2023 U6 - https://doi.org/10.1016/J.NEUCOM.2023.126635 VL - 555 SP - 126635 EP - 126635 ER - TY - JOUR A1 - Raab, Christoph A1 - Heusinger, Moritz A1 - Schleif, Frank-Michael T1 - Reactive Soft Prototype Computing for Concept Drift Streams JF - CoRR Y1 - 2020 VL - abs/2007.05432 ER - TY - JOUR A1 - Raab, Christoph A1 - Schleif, Frank-Michael T1 - Transfer learning extensions for the probabilistic classification vector machine JF - CoRR Y1 - 2020 VL - abs/2007.07090 ER - TY - CHAP A1 - Xu, Bangguo A1 - Yan, Simei A1 - Liu, Liang A1 - Schleif, Frank-Michael ED - Villmann, Thomas ED - Kaden, Marika ED - Geweniger, Tina ED - Schleif, Frank-Michael T1 - Optimizing YOLOv5 for Green AI: A Study on Model Pruning and Lightweight Networks T2 - Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond - Proceedings of the 15th International Workshop, WSOM+ 2024, Mittweida, Germany, July 10-12, 2024 Y1 - 2024 U6 - https://doi.org/10.1007/978-3-031-67159-3\_22 VL - 1087 SP - 196 EP - 205 ER - TY - CHAP A1 - Schleif, Frank-Michael ED - Villmann, Thomas ED - Kaden, Marika ED - Geweniger, Tina ED - Schleif, Frank-Michael T1 - Practical Approaches to Approximate Dominant Eigenvalues in Large Matrices T2 - Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond - Proceedings of the 15th International Workshop, WSOM+ 2024, Mittweida, Germany, July 10-12, 2024 Y1 - 2024 U6 - https://doi.org/10.1007/978-3-031-67159-3\_14 VL - 1087 SP - 118 EP - 128 ER - TY - CHAP A1 - Röder, Manuel A1 - Schleif, Frank-Michael ED - Bunse, Mirko ED - Herde, Marek ED - Krempl, Georg ED - Lemaire, Vincent ED - Tharwat, Alaa ED - Tuan Pham, Minh ED - Saadallah, Amal T1 - Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data T2 - Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), Vilnius, Lithuania, September 9th, 2024 Y1 - 2024 VL - 3770 SP - 7 EP - 11 ER - TY - CHAP A1 - Röder, Manuel A1 - Münch, Maximilian A1 - Raab, Christoph A1 - Schleif, Frank-Michael ED - Castrillón Santana, Modesto ED - De Marsico, Maria ED - Fred, Ana T1 - Crossing Domain Borders with Federated Few-Shot Adaptation T2 - Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2024, Rome, Italy, February 24-26, 2024 Y1 - 2024 U6 - https://doi.org/10.5220/0012351900003654 SP - 511 EP - 521 ER - TY - JOUR A1 - Röder, Manuel A1 - Schleif, Frank-Michael T1 - Sparse Uncertainty-Informed Sampling from Federated Streaming Data JF - CoRR Y1 - 2024 U6 - https://doi.org/10.48550/ARXIV.2408.17108 VL - abs/2408.17108 ER - TY - JOUR A1 - Röder, Manuel A1 - Schleif, Frank-Michael T1 - Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data JF - CoRR Y1 - 2024 U6 - https://doi.org/10.48550/ARXIV.2409.12575 VL - abs/2409.12575 ER - TY - JOUR A1 - Röder, Manuel A1 - Heller, Leon A1 - Münch, Maximilian A1 - Schleif, Frank-Michael T1 - Efficient Cross-Domain Federated Learning by MixStyle Approximation JF - CoRR Y1 - 2023 U6 - https://doi.org/10.48550/ARXIV.2312.07064 VL - abs/2312.07064 ER - TY - CHAP A1 - Bunte, Kerstin A1 - Kaden, Marika A1 - Schleif, Frank-Michael ED - Merényi, Erzsébet ED - Mendenhall, Michael J. ED - O’Driscoll, Patrick T1 - Low-Rank Kernel Space Representations in Prototype Learning T2 - Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016 Y1 - 2016 U6 - https://doi.org/10.1007/978-3-319-28518-4_30 SP - 341 EP - 353 ER - TY - JOUR A1 - Embrechts, Mark J. A1 - Rossi, Fabrice A1 - Schleif, Frank-Michael A1 - Aldo Lee, John T1 - Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2013) JF - Neurocomputing Y1 - 2014 U6 - https://doi.org/10.1016/j.neucom.2014.03.002 VL - 141 SP - 1 EP - 2 ER - TY - JOUR A1 - Hofmann, Daniela A1 - Schleif, Frank-Michael A1 - Paaßen, Benjamin A1 - Hammer, Barbara T1 - Learning interpretable kernelized prototype-based models JF - Neurocomputing Y1 - 2014 U6 - https://doi.org/10.1016/j.neucom.2014.03.003 VL - 141 SP - 84 EP - 96 ER - TY - CHAP A1 - Münch, Maximilian A1 - Sophie Bohnsack, Katrin A1 - Engelsberger, Alexander A1 - Schleif, Frank-Michael A1 - Villmann, Thomas T1 - Sparse Nyström Approximation for Non-Vectorial Data Using Class-informed Landmark Selection T2 - 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2023, Bruges, Belgium, October 4-6, 2023 Y1 - 2023 U6 - https://doi.org/10.14428/ESANN/2023.ES2023-136 ER - TY - CHAP A1 - Heusinger, Moritz A1 - Schleif, Frank-Michael ED - Rojas, Ignacio ED - Joya, Gonzalo ED - Català, Andreu T1 - Classification in Non-stationary Environments Using Coresets over Sliding Windows T2 - Advances in Computational Intelligence - 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16-18, 2021, Proceedings, Part I Y1 - 2021 U6 - https://doi.org/10.1007/978-3-030-85030-2_11 SP - 126 EP - 137 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 - A Streaming Approach to the Core Vector Machine T2 - Artificial Intelligence and Soft Computing - 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022, Proceedings, Part II Y1 - 2023 U6 - https://doi.org/10.1007/978-3-031-23480-4_8 SP - 91 EP - 101 ER - TY - CHAP A1 - Münch, Maximilian A1 - Raab, Christoph A1 - Heilig, Simon A1 - Röder, Manuel A1 - Schleif, Frank-Michael T1 - Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification T2 - 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2022, Bruges, Belgium, October 5-7, 2022 Y1 - 2022 U6 - https://doi.org/10.14428/esann/2022.ES2022-70 ER - TY - CHAP A1 - Münch, Maximilian A1 - Heilig, Simon A1 - Schleif, Frank-Michael T1 - Multi-perspective embedding for non-metric time series classification T2 - 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2021, Online event (Bruges, Belgium), October 6-8, 2021 Y1 - 2021 U6 - https://doi.org/10.14428/esann/2021.ES2021-114 ER - TY - CHAP A1 - Heusinger, Moritz A1 - Raab, Christoph A1 - Rossi, Fabrice A1 - Schleif, Frank-Michael T1 - Federated Learning - Methods, Applications and beyond T2 - 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2021, Online event (Bruges, Belgium), October 6-8, 2021 Y1 - 2021 U6 - https://doi.org/10.14428/esann/2021.ES2021-4 ER - TY - CHAP A1 - Raab, Christoph A1 - Saralajew, Sascha A1 - Schleif, Frank-Michael T1 - Domain Adversarial Tangent Learning Towards Interpretable Domain Adaptation T2 - 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2021, Online event (Bruges, Belgium), October 6-8, 2021 Y1 - 2021 U6 - https://doi.org/10.14428/esann/2021.ES2021-103 ER - TY - CHAP A1 - Heilig, Simon A1 - Münch, Maximilian A1 - Schleif, Frank-Michael T1 - Memory Efficient Kernel Approximation for Non-Stationary and Indefinite Kernels T2 - International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022 Y1 - 2022 U6 - https://doi.org/10.1109/IJCNN55064.2022.9892153 SP - 1 EP - 8 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Kabán, Ata A1 - Tiño, Peter ED - Schwenker, Friedhelm ED - Abbas, Hazem M. ED - El Gayar, Neamat ED - Trentin, Edmondo T1 - Finding Small Sets of Random Fourier Features for Shift-Invariant Kernel Approximation T2 - Artificial Neural Networks in Pattern Recognition - 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28-30, 2016, Proceedings Y1 - 2016 U6 - https://doi.org/10.1007/978-3-319-46182-3_4 SP - 42 EP - 54 ER - TY - CHAP A1 - Schleif, Frank-Michael ED - Lintas, Alessandra ED - Rovetta, Stefano ED - Verschure, Paul F. M. J. ED - Villa, Alessandro E. P. T1 - Indefinite Support Vector Regression T2 - Artificial Neural Networks and Machine Learning - ICANN 2017 - 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II Y1 - 2017 U6 - https://doi.org/10.1007/978-3-319-68612-7_36 SP - 313 EP - 321 ER - TY - CHAP A1 - Schleif, Frank-Michael ED - Lamirel, Jean-Charles ED - Cottrell, Marie ED - Olteanu, Madalina T1 - Small sets of random Fourier features by kernelized Matrix LVQ T2 - 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization, WSOM 2017, Nancy, France, June 28-30, 2017 Y1 - 2017 U6 - https://doi.org/10.1109/WSOM.2017.8020026 SP - 192 EP - 196 ER - TY - JOUR A1 - Oneto, Luca A1 - Navarin, Nicolò A1 - Schleif, Frank-Michael T1 - Advances in artificial neural networks, machine learning and computational intelligence JF - Neurocomputing Y1 - 2022 U6 - https://doi.org/10.1016/j.neucom.2022.08.001 VL - 507 SP - 311 EP - 314 ER - TY - CHAP A1 - Heusinger, Moritz A1 - Raab, Christoph A1 - Schleif, Frank-Michael T1 - Analyzing Dynamic Social Media Data via Random Projection - A New Challenge for Stream Classifiers T2 - 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2020, Bari, Italy, May 27-29, 2020 Y1 - 2020 U6 - https://doi.org/10.1109/EAIS48028.2020.9122780 SP - 1 EP - 8 ER - TY - CHAP A1 - Heusinger, Moritz A1 - Schleif, Frank-Michael T1 - Random Projection in supervised non-stationary environments T2 - 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2020, Bruges, Belgium, October 2-4, 2020 Y1 - 2020 SP - 405 EP - 410 ER - TY - JOUR A1 - Raab, Christoph A1 - Heusinger, Moritz A1 - Schleif, Frank-Michael T1 - Reactive Soft Prototype Computing for Concept Drift Streams JF - Neurocomputing Y1 - 2020 U6 - https://doi.org/10.1016/j.neucom.2019.11.111 VL - 416 SP - 340 EP - 351 ER - TY - CHAP A1 - Zhu, Xibin A1 - Schleif, Frank-Michael A1 - Hammer, Barbara ED - Rojas, Ignacio ED - Joya Caparrós, Gonzalo ED - Cabestany, Joan T1 - Secure Semi-supervised Vector Quantization for Dissimilarity Data T2 - Advances in Computational Intelligence - 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013, Proceedings, Part I Y1 - 2013 U6 - https://doi.org/10.1007/978-3-642-38679-4_34 SP - 347 EP - 356 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Zhu, Xibin A1 - Hammer, Barbara ED - Pechenizkiy, Mykola ED - Wojciechowski, Marek T1 - Soft Competitive Learning for Large Data Sets T2 - New Trends in Databases and Information Systems, Workshop Proceedings of the 16th East European Conference, ADBIS 2012, Poznań, Poland, September 17-21, 2012 Y1 - 2012 U6 - https://doi.org/10.1007/978-3-642-32518-2\_14 VL - 185 SP - 141 EP - 151 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Zhu, Xibin A1 - Hammer, Barbara ED - Yin, Hujun ED - Tang, Ke ED - Gao, Yang ED - Klawonn, Frank ED - Lee, Minho ED - Weise, Thomas ED - Li, Bin ED - Yao, Xin T1 - Sparse Prototype Representation by Core Sets T2 - Intelligent Data Engineering and Automated Learning - IDEAL 2013 - 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013. Proceedings Y1 - 2013 U6 - https://doi.org/10.1007/978-3-642-41278-3_37 SP - 302 EP - 309 ER - TY - CHAP A1 - Zhu, Xibin A1 - Schleif, Frank-Michael A1 - Hammer, Barbara T1 - Semi-Supervised Vector Quantization for proximity data T2 - 21st European Symposium on Artificial Neural Networks, ESANN 2013, Bruges, Belgium, April 24-26, 2013 Y1 - 2013 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Mokbel, Bassam A1 - Gisbrecht, Andrej A1 - Theunissen, Leslie A1 - Dürr, Volker A1 - Hammer, Barbara ED - Villa, Alessandro E. P. ED - Duch, Wlodzislaw ED - Érdi, Péter ED - Masulli, Francesco ED - Palm, Günther T1 - Learning Relevant Time Points for Time-Series Data in the Life Sciences T2 - Artificial Neural Networks and Machine Learning - ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II Y1 - 2012 U6 - https://doi.org/10.1007/978-3-642-33266-1_66 SP - 531 EP - 539 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Zhu, Xibin A1 - Hammer, Barbara ED - Iliadis, Lazaros S. ED - Maglogiannis, Ilias ED - Papadopoulos, Harris ED - Karatzas, Kostas D. ED - Sioutas, Spyros T1 - A Conformal Classifier for Dissimilarity Data T2 - Artificial Intelligence Applications and Innovations - AIAI 2012 International Workshops: AIAB, AIeIA, CISE, COPA, IIVC, ISQL, MHDW, and WADTMB, Halkidiki, Greece, September 27-30, 2012, Proceedings, Part II Y1 - 2012 U6 - https://doi.org/10.1007/978-3-642-33412-2_24 SP - 234 EP - 243 ER - TY - CHAP A1 - Hammer, Barbara A1 - Mokbel, Bassam A1 - Schleif, Frank-Michael A1 - Zhu, Xibin ED - Corchado, Emilio ED - Snásel, Václav ED - Abraham, Ajith ED - Wozniak, Michal ED - Graña, Manuel ED - Cho, Sung-Bae T1 - White Box Classification of Dissimilarity Data T2 - Hybrid Artificial Intelligent Systems - 7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012. Proceedings, Part I Y1 - 2012 U6 - https://doi.org/10.1007/978-3-642-28942-2_28 SP - 309 EP - 321 ER - TY - CHAP A1 - Zhu, Xibin A1 - Schleif, Frank-Michael A1 - Hammer, Barbara ED - Wang, Jun ED - Yen, Gary G. ED - Polycarpou, Marios M. T1 - Patch Processing for Relational Learning Vector Quantization T2 - Advances in Neural Networks - ISNN 2012 - 9th International Symposium on Neural Networks, Shenyang, China, July 11-14, 2012. Proceedings, Part I Y1 - 2012 U6 - https://doi.org/10.1007/978-3-642-31346-2_7 SP - 55 EP - 63 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Gisbrecht, Andrej A1 - Hammer, Barbara T1 - Relevance learning for short high-dimensional time series in the life sciences 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.2012.6252653 SP - 1 EP - 8 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Zhu, Xibin A1 - Gisbrecht, Andrej A1 - Hammer, Barbara T1 - Fast approximated relational and kernel clustering T2 - Proceedings of the 21st International Conference on Pattern Recognition, ICPR 2012, Tsukuba, Japan, November 11-15, 2012 Y1 - 2012 SP - 1229 EP - 1232 ER - TY - CHAP A1 - Schleif, Frank-Michael ED - Wermter, Stefan ED - Weber, Cornelius ED - Duch, Wlodzislaw ED - Honkela, Timo ED - Koprinkova-Hristova, Petia D. ED - Magg, Sven ED - Palm, Günther ED - Villa, Alessandro E. P. T1 - Discriminative Fast Soft Competitive Learning T2 - Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings Y1 - 2014 U6 - https://doi.org/10.1007/978-3-319-11179-7_11 SP - 81 EP - 88 ER - TY - CHAP A1 - Münch, Maximilian A1 - Heilig, Simon A1 - Väth, Philipp A1 - Schleif, Frank-Michael T1 - Scalable embedding of multiple perspectives for indefinite life-science data analysis T2 - IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, FL, USA, December 5-7, 2021 Y1 - 2021 U6 - https://doi.org/10.1109/SSCI50451.2021.9659914 SP - 1 EP - 8 ER - TY - JOUR A1 - Zhu, Xibin A1 - Schleif, Frank-Michael A1 - Hammer, Barbara T1 - Adaptive conformal semi-supervised vector quantization for dissimilarity data JF - Pattern Recognition Letters Y1 - 2014 U6 - https://doi.org/10.1016/j.patrec.2014.07.009 VL - 49 SP - 138 EP - 145 ER - TY - JOUR A1 - Schleif, Frank-Michael A1 - Raab, Christoph A1 - Tiño, Peter T1 - Sparsification of core set models in non-metric supervised learning JF - Pattern Recognition Letters Y1 - 2020 U6 - https://doi.org/10.1016/j.patrec.2019.10.024 VL - 129 SP - 1 EP - 7 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Tiño, Peter A1 - Liang, Yingyu T1 - Learning in indefinite proximity spaces - recent trends T2 - 24th European Symposium on Artificial Neural Networks, ESANN 2016, Bruges, Belgium, April 27-29, 2016 Y1 - 2016 ER - TY - JOUR A1 - Strickert, Marc A1 - Bunte, Kerstin A1 - Schleif, Frank-Michael A1 - Hüllermeier, Eyke T1 - Correlation-based embedding of pairwise score data JF - Neurocomputing Y1 - 2014 U6 - https://doi.org/10.1016/j.neucom.2014.01.049 VL - 141 SP - 97 EP - 109 ER - TY - JOUR A1 - Raab, Christoph A1 - Schleif, Frank-Michael T1 - Transfer learning extensions for the probabilistic classification vector machine JF - Neurocomputing Y1 - 2020 U6 - https://doi.org/10.1016/j.neucom.2019.09.104 VL - 397 SP - 320 EP - 330 ER - TY - JOUR A1 - Micheli, Alessio A1 - Schleif, Frank-Michael A1 - Tiño, Peter T1 - Novel approaches in machine learning and computational intelligence JF - Neurocomputing Y1 - 2013 U6 - https://doi.org/10.1016/j.neucom.2013.01.005 VL - 112 SP - 1 EP - 3 ER - TY - CHAP A1 - Schleif, Frank-Michael T1 - Proximity learning for non-standard big data T2 - 22th European Symposium on Artificial Neural Networks, ESANN 2014, Bruges, Belgium, April 23-25, 2014 Y1 - 2014 ER - TY - CHAP A1 - Raab, Christoph A1 - Väth, Philipp A1 - Meier, Peter A1 - Schleif, Frank-Michael ED - Ishikawa, Hiroshi ED - Liu, Cheng-Lin ED - Pajdla, Tomás ED - Shi, Jianbo T1 - Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks T2 - Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part III Y1 - 2020 U6 - https://doi.org/10.1007/978-3-030-69535-4_28 SP - 457 EP - 473 ER - TY - CHAP A1 - Schleif, Frank-Michael ED - Biehl, Michael ED - Hammer, Barbara ED - Verleysen, Michel ED - Villmann, Thomas T1 - Advances in pre-processing and model generation for mass spectrometric data analysis T2 - Similarity-based Clustering and its Application to Medicine and Biology, 25.03. - 30.03.2007 Y1 - 2007 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Gisbrecht, Andrej ED - Hancock, Edwin R. ED - Pelillo, Marcello T1 - Data Analysis of (Non-)Metric Proximities at Linear Costs T2 - Similarity-Based Pattern Recognition - Second International Workshop, SIMBAD 2013, York, UK, July 3-5, 2013. Proceedings Y1 - 2013 U6 - https://doi.org/10.1007/978-3-642-39140-8_4 SP - 59 EP - 74 ER - TY - JOUR A1 - Villmann, Thomas A1 - Schleif, Frank-Michael A1 - Kostrzewa, Markus A1 - Walch, Axel A1 - Hammer, Barbara T1 - Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods JF - Briefings in Bioinformatics Y1 - 2008 U6 - https://doi.org/10.1093/bib/bbn009 VL - 9 IS - 2 SP - 129 EP - 143 ER - TY - JOUR A1 - Strickert, Marc A1 - Schleif, Frank-Michael A1 - Seiffert, Udo A1 - Villmann, Thomas T1 - Derivatives of Pearson Correlation for Gradient-based Analysis of Biomedical Data JF - Inteligencia Artificial Y1 - 2008 UR - https://www.redalyc.org/pdf/925/92503705.pdf VL - 12 IS - 37 SP - 37 EP - 44 ER - TY - JOUR A1 - Gisbrecht, Andrej A1 - Mokbel, Bassam A1 - Schleif, Frank-Michael A1 - Zhu, Xibin A1 - Hammer, Barbara T1 - Linear Time Relational Prototype Based Learning JF - International Journal of Neural Systems Y1 - 2012 U6 - https://doi.org/10.1142/S0129065712500219 VL - 22 IS - 5 ER - TY - CHAP A1 - Raab, Christoph A1 - Meier, Peter A1 - Schleif, Frank-Michael T1 - Domain Invariant Representations with Deep Spectral Alignment T2 - 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2020, Bruges, Belgium, October 2-4, 2020 Y1 - 2020 SP - 509 EP - 514 ER - TY - THES A1 - Schleif, Frank-Michael T1 - Prototype based machine learning for clinical proteomics Y1 - 2006 UR - https://dl.gi.de/server/api/core/bitstreams/5c357deb-cb2c-4c93-9c80-75575eee6ee6/content ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Villmann, Thomas A1 - Hammer, Barbara ED - Rabuñal, Juan R. ED - Dorado, Julián ED - Pazos, Alejandro T1 - Prototype Based Classification in Bioinformatics T2 - Encyclopedia of Artificial Intelligence (3 Volumes) Y1 - 2009 SP - 1337 EP - 1342 ER - TY - CHAP A1 - Villmann, Thomas A1 - Seiffert, Udo A1 - Schleif, Frank-Michael A1 - Brüß, Cornelia A1 - Geweniger, Tina A1 - Hammer, Barbara ED - Schwenker, Friedhelm ED - Marinai, Simone T1 - Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes T2 - Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006, Proceedings Y1 - 2006 U6 - https://doi.org/10.1007/11829898_5 SP - 46 EP - 56 ER - TY - CHAP A1 - Gisbrecht, Andrej A1 - Hammer, Barbara A1 - Schleif, Frank-Michael A1 - Zhu, Xibin ED - Bates Congdon, Clare ED - Corns, Steven M. ED - Smith, Jennifer A. T1 - Accelerating kernel clustering for biomedical data analysis T2 - Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2011, Paris, France, April 11-15, 2011 Y1 - 2011 U6 - https://doi.org/10.1109/CIBCB.2011.5948460 SP - 154 EP - 161 ER - TY - CHAP A1 - Hammer, Barbara A1 - Hasenfuss, Alexander A1 - Schleif, Frank-Michael A1 - Villmann, Thomas ED - Schwenker, Friedhelm ED - Marinai, Simone T1 - Supervised Batch Neural Gas T2 - Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006, Proceedings Y1 - 2006 U6 - https://doi.org/10.1007/11829898_4 SP - 33 EP - 45 ER - TY - JOUR A1 - Schleif, Frank-Michael A1 - Villmann, Thomas A1 - Hammer, Barbara A1 - Schneider, Petra T1 - Efficient Kernelized Prototype Based Classification JF - International Journal of Neural Systems Y1 - 2011 U6 - https://doi.org/10.1142/S012906571100295X VL - 21 IS - 6 SP - 443 EP - 457 ER - TY - JOUR A1 - Villmann, Thomas A1 - Schleif, Frank-Michael A1 - Hammer, Barbara T1 - Comparison of relevance learning vector quantization with other metric adaptive classification methods JF - Neural Networks Y1 - 2006 U6 - https://doi.org/10.1016/j.neunet.2005.07.013 VL - 19 IS - 5 SP - 610 EP - 622 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Hammer, Barbara A1 - Villmann, Thomas T1 - Margin based Active Learning for LVQ Networks T2 - 14th European Symposium on Artificial Neural Networks, ESANN 2006, Bruges, Belgium, April 26-28, 2006, Proceedings Y1 - 2006 SP - 539 EP - 544 ER - TY - JOUR A1 - Villmann, Thomas A1 - Hammer, Barbara A1 - Schleif, Frank-Michael A1 - Geweniger, Tina A1 - Hermann, Wieland T1 - Fuzzy classification by fuzzy labeled neural gas JF - Neural Networks Y1 - 2006 U6 - https://doi.org/10.1016/j.neunet.2006.05.026 VL - 19 IS - 6-7 SP - 772 EP - 779 ER - TY - JOUR A1 - Aldo Lee, John A1 - Schleif, Frank-Michael A1 - Martinetz, Thomas T1 - Advances in artificial neural networks, machine learning, and computational intelligence JF - Neurocomputing Y1 - 2011 U6 - https://doi.org/10.1016/j.neucom.2011.02.003 VL - 74 IS - 9 SP - 1299 EP - 1300 ER -