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 - TY - JOUR A1 - Schleif, Frank-Michael A1 - Hammer, Barbara A1 - Villmann, Thomas T1 - Margin-based active learning for LVQ networks JF - Neurocomputing Y1 - 2007 U6 - https://doi.org/10.1016/j.neucom.2006.10.149 VL - 70 IS - 7-9 SP - 1215 EP - 1224 ER -