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 - 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 - TY - JOUR A1 - Zhu, Xibin A1 - Gisbrecht, Andrej A1 - Schleif, Frank-Michael A1 - Hammer, Barbara T1 - Approximation techniques for clustering dissimilarity data JF - Neurocomputing Y1 - 2012 U6 - https://doi.org/10.1016/j.neucom.2012.01.033 VL - 90 SP - 72 EP - 84 ER - TY - CHAP A1 - Hammer, Barbara A1 - Villmann, Thomas A1 - Schleif, Frank-Michael A1 - Albani, Cornelia A1 - Hermann, Wieland ED - Rutkowski, Leszek ED - Tadeusiewicz, Ryszard ED - Zadeh, Lotfi A. ED - Zurada, Jacek M. T1 - Learning Vector Quantization Classification with Local Relevance Determination for Medical Data T2 - Artificial Intelligence and Soft Computing - ICAISC 2006, 8th International Conference, Zakopane, Poland, June 25-29, 2006, Proceedings Y1 - 2006 U6 - https://doi.org/10.1007/11785231_63 SP - 603 EP - 612 ER - TY - CHAP A1 - Villmann, Thomas A1 - Hammer, Barbara A1 - Schleif, Frank-Michael A1 - Geweniger, Tina A1 - Fischer, Tom A1 - Cottrell, Marie ED - King, Irwin ED - Wang, Jun ED - Chan, Laiwan ED - Wang, DeLiang L. T1 - Prototype Based Classification Using Information Theoretic Learning T2 - Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II Y1 - 2006 U6 - https://doi.org/10.1007/11893257_5 SP - 40 EP - 49 ER - TY - CHAP A1 - Villmann, Thomas A1 - Schleif, Frank-Michael A1 - Hammer, Barbara ED - Arif Wani, M. ED - Milanova, Mariofanna G. ED - Kurgan, Lukasz A. ED - Reformat, Marek Z. ED - Hafeez, Khalid T1 - Fuzzy Labeled Soft Nearest Neighbor Classification with Relevance Learning T2 - Fourth International Conference on Machine Learning and Applications, ICMLA 2005, Los Angeles, California, USA, 15-17 December 2005 Y1 - 2005 U6 - https://doi.org/10.1109/ICMLA.2005.38 ER - TY - CHAP A1 - Hammer, Barbara A1 - Mokbel, Bassam A1 - Schleif, Frank-Michael A1 - Zhu, Xibin ED - Gama, João ED - Bradley, Elizabeth ED - Hollmén, Jaakko T1 - Prototype-Based Classification of Dissimilarity Data T2 - Advances in Intelligent Data Analysis X - 10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings Y1 - 2011 U6 - https://doi.org/10.1007/978-3-642-24800-9_19 SP - 185 EP - 197 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Gisbrecht, Andrej A1 - Hammer, Barbara ED - Honkela, Timo ED - Duch, Wlodzislaw ED - Girolami, Mark A. ED - Kaski, Samuel T1 - Accelerating Kernel Neural Gas T2 - Artificial Neural Networks and Machine Learning - ICANN 2011 - 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I Y1 - 2011 U6 - https://doi.org/10.1007/978-3-642-21735-7_19 SP - 150 EP - 158 ER - TY - CHAP A1 - Hammer, Barbara A1 - Schleif, Frank-Michael A1 - Zhu, Xibin ED - Lu, Bao-Liang ED - Zhang, Liqing ED - Kwok, James T. T1 - Relational Extensions of Learning Vector Quantization T2 - Neural Information Processing - 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part II Y1 - 2011 U6 - https://doi.org/10.1007/978-3-642-24958-7_56 SP - 481 EP - 489 ER - TY - CHAP A1 - Brüß, Cornelia A1 - Bollenbeck, Felix A1 - Schleif, Frank-Michael A1 - Weschke, Winfriede A1 - Villmann, Thomas A1 - Seiffert, Udo T1 - Fuzzy image segmentation with Fuzzy Labelled Neural Gas T2 - 14th European Symposium on Artificial Neural Networks, ESANN 2006, Bruges, Belgium, April 26-28, 2006, Proceedings Y1 - 2006 SP - 563 EP - 568 ER - TY - CHAP A1 - Geweniger, Tina A1 - Schleif, Frank-Michael A1 - Hasenfuss, Alexander A1 - Hammer, Barbara A1 - Villmann, Thomas ED - Köppen, Mario ED - Kasabov, Nikola K. ED - Coghill, George G. T1 - Comparison of Cluster Algorithms for the Analysis of Text Data Using Kolmogorov Complexity T2 - Advances in Neuro-Information Processing, 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II Y1 - 2008 U6 - https://doi.org/10.1007/978-3-642-03040-6_8 VL - 5507 SP - 61 EP - 69 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Villmann, Thomas A1 - Hammer, Barbara A1 - van der Werff, Martijn A1 - Deelder, André M. A1 - Tollenaar, Rob A. E. M. ED - Smolinski, Tomasz G. ED - Milanova, Mariofanna G. ED - Ella Hassanien, Aboul T1 - Analysis of Spectral Data in Clinical Proteomics by Use of Learning Vector Quantizers T2 - Computational Intelligence in Biomedicine and Bioinformatics, Current Trends and Applications Y1 - 2008 U6 - https://doi.org/10.1007/978-3-540-70778-3_6 VL - 151 SP - 141 EP - 167 ER - TY - CHAP A1 - Gisbrecht, Andrej A1 - Schleif, Frank-Michael A1 - Zhu, Xibin A1 - Hammer, Barbara ED - Yin, Hujun ED - Wang, Wenjia ED - Rayward-Smith, Victor J. T1 - Linear Time Heuristics for Topographic Mapping of Dissimilarity Data T2 - Intelligent Data Engineering and Automated Learning - IDEAL 2011 - 12th International Conference, Norwich, UK, September 7-9, 2011. Proceedings Y1 - 2011 U6 - https://doi.org/10.1007/978-3-642-23878-9_4 SP - 25 EP - 33 ER - TY - CHAP A1 - Hammer, Barbara A1 - Gisbrecht, Andrej A1 - Hasenfuss, Alexander A1 - Mokbel, Bassam A1 - Schleif, Frank-Michael A1 - Zhu, Xibin ED - Laaksonen, Jorma ED - Honkela, Timo T1 - Topographic Mapping of Dissimilarity Data T2 - Advances in Self-Organizing Maps - 8th International Workshop, WSOM 2011, Espoo, Finland, June 13-15, 2011. Proceedings Y1 - 2011 U6 - https://doi.org/10.1007/978-3-642-21566-7_1 SP - 1 EP - 15 ER - TY - CHAP A1 - Bunte, Kerstin A1 - Schleif, Frank-Michael A1 - Haase, Sven A1 - Villmann, Thomas T1 - Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization T2 - 19th European Symposium on Artificial Neural Networks, ESANN 2011, Bruges, Belgium, April 27-29, 2011, Proceedings Y1 - 2011 ER - TY - JOUR A1 - Villmann, Thomas A1 - Hammer, Barbara A1 - Schleif, Frank-Michael A1 - Hermann, Wieland A1 - Cottrell, Marie T1 - Fuzzy classification using information theoretic learning vector quantization JF - Neurocomputing Y1 - 2008 U6 - https://doi.org/10.1016/j.neucom.2008.04.048 VL - 71 IS - 16-18 SP - 3070 EP - 3076 ER - TY - JOUR A1 - Schleif, Frank-Michael A1 - Villmann, Thomas A1 - Hammer, Barbara T1 - Prototype based fuzzy classification in clinical proteomics JF - International Journal of Approximate Reasoning Y1 - 2008 U6 - https://doi.org/10.1016/j.ijar.2007.03.005 VL - 47 IS - 1 SP - 4 EP - 16 ER - TY - JOUR A1 - Hammer, Barbara A1 - Hofmann, Daniela A1 - Schleif, Frank-Michael A1 - Zhu, Xibin T1 - Learning vector quantization for (dis-)similarities JF - Neurocomputing Y1 - 2014 U6 - https://doi.org/10.1016/j.neucom.2013.05.054 VL - 131 SP - 43 EP - 51 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Ongyerth, Matthias A1 - Villmann, Thomas T1 - Sparse Coding Neural Gas for Analysis of Nuclear Magnetic Resonance Spectroscopy T2 - Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, June 17-19, 2008, Jyväskylä, Finland Y1 - 2008 U6 - https://doi.org/10.1109/CBMS.2008.39 SP - 620 EP - 625 ER - TY - CHAP A1 - Gerhard, Marc A1 - Deininger, Soren-Oliver A1 - Schleif, Frank-Michael T1 - Statistical Classification and Visualization of MALDI-Imaging Data T2 - 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 20-22 June 2007, Maribor, Slovenia Y1 - 2007 U6 - https://doi.org/10.1109/CBMS.2007.99 SP - 403 EP - 405 ER - TY - CHAP A1 - Schleif, Frank-Michael T1 - Sparse kernelized vector quantization with local dependencies T2 - The 2011 International Joint Conference on Neural Networks, IJCNN 2011, San Jose, California, USA, July 31 - August 5, 2011 Y1 - 2011 U6 - https://doi.org/10.1109/IJCNN.2011.6033407 SP - 1538 EP - 1545 ER - TY - CHAP A1 - Strickert, Marc A1 - Schleif, Frank-Michael A1 - Villmann, Thomas T1 - Metric adaptation for supervised attribute rating T2 - 16th European Symposium on Artificial Neural Networks, ESANN 2008, Bruges, Belgium, April 23-25, 2008, Proceedings Y1 - 2008 SP - 31 EP - 36 ER - TY - CHAP A1 - Seiffert, Udo A1 - Schleif, Frank-Michael A1 - Zühlke, Dietlind T1 - Recent trends in computational intelligence in life sciences 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 T1 - Maschinelles Lernen mit Prototypmethoden in der klinischen Proteomik JF - Künstliche Intelligenz Y1 - 2007 UR - https://www.techfak.uni-bielefeld.de/~fschleif/pdf/ki_2007.pdf VL - 21 IS - 4 SP - 65 EP - 67 ER -