@inproceedings{SchleifGisbrechtTino, author = {Schleif, Frank-Michael and Gisbrecht, Andrej and Ti{\~n}o, Peter}, title = {Probabilistic Classification Vector Machine at large scale}, series = {23rd European Symposium on Artificial Neural Networks, ESANN 2015, Bruges, Belgium, April 22-24, 2015}, booktitle = {23rd European Symposium on Artificial Neural Networks, ESANN 2015, Bruges, Belgium, April 22-24, 2015}, language = {en} } @inproceedings{VillmannSchleifHammer, author = {Villmann, Thomas and Schleif, Frank-Michael and Hammer, Barbara}, title = {Sparse representation of data}, series = {18th European Symposium on Artificial Neural Networks, ESANN 2010, Bruges, Belgium, April 28-30, 2010, Proceedings}, booktitle = {18th European Symposium on Artificial Neural Networks, ESANN 2010, Bruges, Belgium, April 28-30, 2010, Proceedings}, language = {en} } @article{AnguloAldoLeeSchleif, author = {Angulo, Cecilio and Aldo Lee, John and Schleif, Frank-Michael}, title = {Advances in computational intelligence and learning (ESANN 2009)}, series = {Neurocomputing}, volume = {73}, journal = {Neurocomputing}, number = {7-9}, doi = {10.1016/j.neucom.2009.12.020}, pages = {1049 -- 1050}, language = {en} } @article{MokbelPaassenSchleifetal., author = {Mokbel, Bassam and Paaßen, Benjamin and Schleif, Frank-Michael and Hammer, Barbara}, title = {Metric learning for sequences in relational LVQ}, series = {Neurocomputing}, volume = {169}, journal = {Neurocomputing}, doi = {10.1016/j.neucom.2014.11.082}, pages = {306 -- 322}, language = {en} } @article{SchleifTino, author = {Schleif, Frank-Michael and Ti{\~n}o, Peter}, title = {Indefinite Proximity Learning: A Review}, series = {Neural Compututation}, volume = {27}, journal = {Neural Compututation}, number = {10}, doi = {10.1162/NECO_a_00770}, pages = {2039 -- 2096}, language = {en} } @inproceedings{HartmannDobhanEngelmannetal., author = {Hartmann, J{\"u}rgen and Dobhan, Alexander and Engelmann, Bastian and Eberhardt, Lars and Heusinger, Moritz and Raab, C and Schleif, Frank-Michael and T{\"u}rk, M.}, title = {Optimierung von Prozessen und Werkzeugmaschinen durch Bereitstellung, Analyse und Soll-Ist-Vergleich von Produktionsdaten: Digitalkonferenz}, language = {en} } @article{HofmannEberhardtHeusingeretal., author = {Hofmann, Jan and Eberhardt, Lars and Heusinger, Moritz and Dobhan, Alexander and Engelmann, Bastian and Schleif, Frank-Michael}, title = {Optimierung von Prozessen und Werkzeugmaschinen durch Bereitstellung, Analyse und Soll-Ist-Vergleich von Produktionsdaten}, series = {FHWS Science Journal}, volume = {5}, journal = {FHWS Science Journal}, number = {2}, issn = {2196-6095}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:863-opus-20012}, pages = {135 -- 142}, abstract = {Mit einem Umsatz von 103 Milliarden Euro ist die Metallindustrie eine der gr{\"o}ßten deutschen Industriebranchen. Diese ist von volatilen Marktbedingungen und hohem Wettbewerb gepr{\"a}gt [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 kaufm{\"a}nnischen Planungssystemen zur Erstellung von Produktionspl{\"a}nen nutzen Unternehmen als Planungsgrundlage weiterhin Excel mit 31 \% und manuelle Prozesse mit 10 \% [4]. Gleiches gilt f{\"u}r Produktwechselvorg{\"a}nge auf Maschinen (R{\"u}sten). Aufgrund dieser Aspekte ist es notwendig, die Rentabilit{\"a}t der KMU in der Metallindustrie zu steigern. Das wird durch effiziente Produktionsplanung und -steuerung, sowie der daraus resultierenden hohen Reaktionsf{\"a}higkeit und Flexibilit{\"a}t realisiert. Daher ist die Produktionsplanung auf die Markt- und Kundenanforderungen und die Anlageneffektivit{\"a}t auf ein hohes und stabiles Niveau auszurichten [5]. Hier bietet die Erfassung von Echtzeitdaten eine ad{\"a}quate Reaktion auf die genannten Anforderungen. Ebenfalls liefert sie großes Potenzial f{\"u}r die Produktionsplanung und -steuerung, um die Disposition und Koordination von Arbeitsauftr{\"a}gen zu optimieren. Weiterhin werden St{\"o}rgr{\"o}ßen oder unvorhergesehene Planungsabweichungen reduziert [4][6]. Zus{\"a}tzlich ist eine erh{\"o}hte Transparenz und Verbesserung menschlicher Entscheidungsprozesse notwendig. Dies kann durch datengetriebene Methoden unterst{\"u}tzt und sichergestellt werden [7]. Ein Ansatz zur Optimierung des Produktionsergebnisses kann durch die Erh{\"o}hung der Anlagenproduktivit{\"a}t selbst realisiert werden. Dazu muss die Verf{\"u}gbarkeit der Anlagen durch Lokalisierung und Reduzierung von Verlusten erh{\"o}ht werden. Die Umr{\"u}stungsprozesse tragen stark negativ zur Verf{\"u}gbarkeit einer Produktion bei. Eine Steigerung der Gesamtanlageneffektivit{\"a}t (overall equipment effectiveness oder kurz OEE) in einer Fertigungsumgebung ist jedoch m{\"o}glich durch eine intelligente Nutzung von Sensordaten mit Techniken wie z. B. Machine Learning (ML).}, language = {de} } @article{SchleifZhuHammer, author = {Schleif, Frank-Michael and Zhu, Xibin and Hammer, Barbara}, title = {Sparse conformal prediction for dissimilarity data}, series = {Annals of Mathematics and Artificial Intelligence}, volume = {74}, journal = {Annals of Mathematics and Artificial Intelligence}, number = {1-2}, doi = {10.1007/s10472-014-9402-1}, pages = {95 -- 116}, language = {en} } @article{GisbrechtSchleif, author = {Gisbrecht, Andrej and Schleif, Frank-Michael}, title = {Metric and non-metric proximity transformations at linear costs}, series = {Neurocomputing}, volume = {167}, journal = {Neurocomputing}, doi = {10.1016/j.neucom.2015.04.017}, pages = {643 -- 657}, language = {en} } @article{Schleif, author = {Schleif, Frank-Michael}, title = {Generic probabilistic prototype based classification of vectorial and proximity data}, series = {Neurocomputing}, volume = {154}, journal = {Neurocomputing}, doi = {10.1016/j.neucom.2014.12.002}, pages = {208 -- 216}, language = {en} } @inproceedings{KlehrEngelmannSchleifetal., author = {Klehr, Lukas and Engelmann, Bastian and Schleif, Frank-Michael and Regulin, Daniel}, title = {Contextualized Segmentation of Milling Processes Using Discrete Rule-Based Pattern Recognition}, series = {Engineering Applications of Neural Networks - 26th International Conference, EANN 2025, Limassol, Cyprus, June 26-29, 2025, Proceedings, Part II}, volume = {2582}, booktitle = {Engineering Applications of Neural Networks - 26th International Conference, EANN 2025, Limassol, Cyprus, June 26-29, 2025, Proceedings, Part II}, editor = {Iliadis, Lazaros S. and Maglogiannis, Ilias and Kyriacou, Efthyvoulos and Jayne, Chrisina}, doi = {10.1007/978-3-031-96199-1\_18}, pages = {238 -- 254}, language = {en} } @inproceedings{MuenchRoederSchleif, author = {M{\"u}nch, Maximilian and R{\"o}der, Manuel and Schleif, Frank-Michael}, title = {Unlocking the Potential of Non-PSD Kernel Matrices: A Polar Decomposition-based Transformation for Improved Prediction Models}, series = {Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}, booktitle = {Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}, editor = {Frommholz, Ingo and Hopfgartner, Frank and Lee, Mark and Oakes, Michael and Lalmas, Mounia and Zhang, Min and Santos, Rodrygo L. T.}, doi = {10.1145/3583780.3615102}, pages = {1867 -- 1876}, language = {en} } @inproceedings{PolatoHammerSchleif, author = {Polato, Mirko and Hammer, Barbara and Schleif, Frank-Michael}, title = {Machine learning in distributed, federated and non-stationary environments - recent trends}, series = {32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2024, Bruges, Belgium, October 9-11, 2024}, booktitle = {32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2024, Bruges, Belgium, October 9-11, 2024}, doi = {10.14428/ESANN/2024.ES2024-3}, language = {en} } @article{OnetoBunteSchleif, author = {Oneto, Luca and Bunte, Kerstin and Schleif, Frank-Michael}, title = {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)}, series = {Neurocomputing}, volume = {342}, journal = {Neurocomputing}, doi = {10.1016/J.NEUCOM.2019.01.081}, pages = {1 -- 5}, language = {en} } @inproceedings{EweckerWinklerVaethetal., author = {Ewecker, Lukas and Winkler, Timo and V{\"a}th, Philipp and Schwager, Robin and Br{\"u}hl, Tim and Schleif, Frank-Michael}, title = {How Important is the Temporal Context to Anticipate Oncoming Vehicles at Night?}, series = {IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023, Honolulu, Oahu, HI, USA, October 1-4, 2023}, booktitle = {IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023, Honolulu, Oahu, HI, USA, October 1-4, 2023}, doi = {10.1109/SMC53992.2023.10394461}, pages = {1000 -- 1007}, language = {en} } @inproceedings{RoederSchleif, author = {R{\"o}der, Manuel and Schleif, Frank-Michael}, title = {Sparse Uncertainty-Informed Sampling from Federated Streaming Data}, series = {32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2024, Bruges, Belgium, October 9-11, 2024}, booktitle = {32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2024, Bruges, Belgium, October 9-11, 2024}, doi = {10.14428/ESANN/2024.ES2024-9}, language = {en} } @article{MuenchRoederHeiligetal., author = {M{\"u}nch, Maximilian and R{\"o}der, Manuel and Heilig, Simon and Raab, Christoph and Schleif, Frank-Michael}, title = {Static and adaptive subspace information fusion for indefinite heterogeneous proximity data}, series = {Neurocomputing}, volume = {555}, journal = {Neurocomputing}, doi = {10.1016/J.NEUCOM.2023.126635}, pages = {126635 -- 126635}, language = {en} } @article{RaabHeusingerSchleif, author = {Raab, Christoph and Heusinger, Moritz and Schleif, Frank-Michael}, title = {Reactive Soft Prototype Computing for Concept Drift Streams}, series = {CoRR}, volume = {abs/2007.05432}, journal = {CoRR}, language = {en} } @article{RaabSchleif, author = {Raab, Christoph and Schleif, Frank-Michael}, title = {Transfer learning extensions for the probabilistic classification vector machine}, series = {CoRR}, volume = {abs/2007.07090}, journal = {CoRR}, language = {en} } @inproceedings{XuYanLiuetal., author = {Xu, Bangguo and Yan, Simei and Liu, Liang and Schleif, Frank-Michael}, title = {Optimizing YOLOv5 for Green AI: A Study on Model Pruning and Lightweight Networks}, series = {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}, volume = {1087}, booktitle = {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}, editor = {Villmann, Thomas and Kaden, Marika and Geweniger, Tina and Schleif, Frank-Michael}, doi = {10.1007/978-3-031-67159-3\_22}, pages = {196 -- 205}, language = {en} } @inproceedings{Schleif, author = {Schleif, Frank-Michael}, title = {Practical Approaches to Approximate Dominant Eigenvalues in Large Matrices}, series = {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}, volume = {1087}, booktitle = {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}, editor = {Villmann, Thomas and Kaden, Marika and Geweniger, Tina and Schleif, Frank-Michael}, doi = {10.1007/978-3-031-67159-3\_14}, pages = {118 -- 128}, language = {en} } @inproceedings{RoederSchleif, author = {R{\"o}der, Manuel and Schleif, Frank-Michael}, title = {Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data}, series = {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}, volume = {3770}, booktitle = {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}, editor = {Bunse, Mirko and Herde, Marek and Krempl, Georg and Lemaire, Vincent and Tharwat, Alaa and Tuan Pham, Minh and Saadallah, Amal}, pages = {7 -- 11}, language = {en} } @inproceedings{RoederMuenchRaabetal., author = {R{\"o}der, Manuel and M{\"u}nch, Maximilian and Raab, Christoph and Schleif, Frank-Michael}, title = {Crossing Domain Borders with Federated Few-Shot Adaptation}, series = {Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2024, Rome, Italy, February 24-26, 2024}, booktitle = {Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2024, Rome, Italy, February 24-26, 2024}, editor = {Castrill{\´o}n Santana, Modesto and De Marsico, Maria and Fred, Ana}, doi = {10.5220/0012351900003654}, pages = {511 -- 521}, language = {en} } @article{RoederSchleif, author = {R{\"o}der, Manuel and Schleif, Frank-Michael}, title = {Sparse Uncertainty-Informed Sampling from Federated Streaming Data}, series = {CoRR}, volume = {abs/2408.17108}, journal = {CoRR}, doi = {10.48550/ARXIV.2408.17108}, language = {en} } @article{RoederSchleif, author = {R{\"o}der, Manuel and Schleif, Frank-Michael}, title = {Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data}, series = {CoRR}, volume = {abs/2409.12575}, journal = {CoRR}, doi = {10.48550/ARXIV.2409.12575}, language = {en} } @article{RoederHellerMuenchetal., author = {R{\"o}der, Manuel and Heller, Leon and M{\"u}nch, Maximilian and Schleif, Frank-Michael}, title = {Efficient Cross-Domain Federated Learning by MixStyle Approximation}, series = {CoRR}, volume = {abs/2312.07064}, journal = {CoRR}, doi = {10.48550/ARXIV.2312.07064}, language = {en} } @inproceedings{BunteKadenSchleif, author = {Bunte, Kerstin and Kaden, Marika and Schleif, Frank-Michael}, title = {Low-Rank Kernel Space Representations in Prototype Learning}, series = {Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016}, booktitle = {Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016}, editor = {Mer{\´e}nyi, Erzs{\´e}bet and Mendenhall, Michael J. and O'Driscoll, Patrick}, doi = {10.1007/978-3-319-28518-4_30}, pages = {341 -- 353}, language = {en} } @article{EmbrechtsRossiSchleifetal., author = {Embrechts, Mark J. and Rossi, Fabrice and Schleif, Frank-Michael and Aldo Lee, John}, title = {Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2013)}, series = {Neurocomputing}, volume = {141}, journal = {Neurocomputing}, doi = {10.1016/j.neucom.2014.03.002}, pages = {1 -- 2}, language = {en} } @article{HofmannSchleifPaassenetal., author = {Hofmann, Daniela and Schleif, Frank-Michael and Paaßen, Benjamin and Hammer, Barbara}, title = {Learning interpretable kernelized prototype-based models}, series = {Neurocomputing}, volume = {141}, journal = {Neurocomputing}, doi = {10.1016/j.neucom.2014.03.003}, pages = {84 -- 96}, language = {en} } @inproceedings{MuenchSophieBohnsackEngelsbergeretal., author = {M{\"u}nch, Maximilian and Sophie Bohnsack, Katrin and Engelsberger, Alexander and Schleif, Frank-Michael and Villmann, Thomas}, title = {Sparse Nystr{\"o}m Approximation for Non-Vectorial Data Using Class-informed Landmark Selection}, series = {31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2023, Bruges, Belgium, October 4-6, 2023}, booktitle = {31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2023, Bruges, Belgium, October 4-6, 2023}, doi = {10.14428/ESANN/2023.ES2023-136}, language = {en} } @inproceedings{HeusingerSchleif, author = {Heusinger, Moritz and Schleif, Frank-Michael}, title = {Classification in Non-stationary Environments Using Coresets over Sliding Windows}, series = {Advances in Computational Intelligence - 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16-18, 2021, Proceedings, Part I}, booktitle = {Advances in Computational Intelligence - 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16-18, 2021, Proceedings, Part I}, editor = {Rojas, Ignacio and Joya, Gonzalo and Catal{\`a}, Andreu}, doi = {10.1007/978-3-030-85030-2_11}, pages = {126 -- 137}, language = {en} } @inproceedings{HeusingerSchleif, author = {Heusinger, Moritz and Schleif, Frank-Michael}, title = {A Streaming Approach to the Core Vector Machine}, series = {Artificial Intelligence and Soft Computing - 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022, Proceedings, Part II}, booktitle = {Artificial Intelligence and Soft Computing - 21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022, Proceedings, Part II}, editor = {Rutkowski, Leszek and Scherer, Rafal and Korytkowski, Marcin and Pedrycz, Witold and Tadeusiewicz, Ryszard and Zurada, Jacek M.}, doi = {10.1007/978-3-031-23480-4_8}, pages = {91 -- 101}, language = {en} } @inproceedings{MuenchRaabHeiligetal., author = {M{\"u}nch, Maximilian and Raab, Christoph and Heilig, Simon and R{\"o}der, Manuel and Schleif, Frank-Michael}, title = {Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification}, series = {30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2022, Bruges, Belgium, October 5-7, 2022}, booktitle = {30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2022, Bruges, Belgium, October 5-7, 2022}, doi = {10.14428/esann/2022.ES2022-70}, language = {en} } @inproceedings{MuenchHeiligSchleif, author = {M{\"u}nch, Maximilian and Heilig, Simon and Schleif, Frank-Michael}, title = {Multi-perspective embedding for non-metric time series classification}, series = {29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2021, Online event (Bruges, Belgium), October 6-8, 2021}, booktitle = {29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2021, Online event (Bruges, Belgium), October 6-8, 2021}, doi = {10.14428/esann/2021.ES2021-114}, language = {en} } @inproceedings{HeusingerRaabRossietal., author = {Heusinger, Moritz and Raab, Christoph and Rossi, Fabrice and Schleif, Frank-Michael}, title = {Federated Learning - Methods, Applications and beyond}, series = {29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2021, Online event (Bruges, Belgium), October 6-8, 2021}, booktitle = {29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2021, Online event (Bruges, Belgium), October 6-8, 2021}, doi = {10.14428/esann/2021.ES2021-4}, language = {en} } @inproceedings{RaabSaralajewSchleif, author = {Raab, Christoph and Saralajew, Sascha and Schleif, Frank-Michael}, title = {Domain Adversarial Tangent Learning Towards Interpretable Domain Adaptation}, series = {29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2021, Online event (Bruges, Belgium), October 6-8, 2021}, booktitle = {29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2021, Online event (Bruges, Belgium), October 6-8, 2021}, doi = {10.14428/esann/2021.ES2021-103}, language = {en} } @inproceedings{HeiligMuenchSchleif, author = {Heilig, Simon and M{\"u}nch, Maximilian and Schleif, Frank-Michael}, title = {Memory Efficient Kernel Approximation for Non-Stationary and Indefinite Kernels}, series = {International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022}, booktitle = {International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022}, doi = {10.1109/IJCNN55064.2022.9892153}, pages = {1 -- 8}, language = {en} } @inproceedings{SchleifKabanTino, author = {Schleif, Frank-Michael and Kab{\´a}n, Ata and Ti{\~n}o, Peter}, title = {Finding Small Sets of Random Fourier Features for Shift-Invariant Kernel Approximation}, series = {Artificial Neural Networks in Pattern Recognition - 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28-30, 2016, Proceedings}, booktitle = {Artificial Neural Networks in Pattern Recognition - 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28-30, 2016, Proceedings}, editor = {Schwenker, Friedhelm and Abbas, Hazem M. and El Gayar, Neamat and Trentin, Edmondo}, doi = {10.1007/978-3-319-46182-3_4}, pages = {42 -- 54}, language = {en} } @inproceedings{Schleif, author = {Schleif, Frank-Michael}, title = {Indefinite Support Vector Regression}, series = {Artificial Neural Networks and Machine Learning - ICANN 2017 - 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II}, booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2017 - 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II}, editor = {Lintas, Alessandra and Rovetta, Stefano and Verschure, Paul F. M. J. and Villa, Alessandro E. P.}, doi = {10.1007/978-3-319-68612-7_36}, pages = {313 -- 321}, language = {en} } @inproceedings{Schleif, author = {Schleif, Frank-Michael}, title = {Small sets of random Fourier features by kernelized Matrix LVQ}, series = {12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization, WSOM 2017, Nancy, France, June 28-30, 2017}, booktitle = {12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization, WSOM 2017, Nancy, France, June 28-30, 2017}, editor = {Lamirel, Jean-Charles and Cottrell, Marie and Olteanu, Madalina}, doi = {10.1109/WSOM.2017.8020026}, pages = {192 -- 196}, language = {en} } @article{OnetoNavarinSchleif, author = {Oneto, Luca and Navarin, Nicol{\`o} and Schleif, Frank-Michael}, title = {Advances in artificial neural networks, machine learning and computational intelligence}, series = {Neurocomputing}, volume = {507}, journal = {Neurocomputing}, doi = {10.1016/j.neucom.2022.08.001}, pages = {311 -- 314}, language = {en} } @inproceedings{HeusingerRaabSchleif, author = {Heusinger, Moritz and Raab, Christoph and Schleif, Frank-Michael}, title = {Analyzing Dynamic Social Media Data via Random Projection - A New Challenge for Stream Classifiers}, series = {2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2020, Bari, Italy, May 27-29, 2020}, booktitle = {2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2020, Bari, Italy, May 27-29, 2020}, doi = {10.1109/EAIS48028.2020.9122780}, pages = {1 -- 8}, language = {en} } @inproceedings{HeusingerSchleif, author = {Heusinger, Moritz and Schleif, Frank-Michael}, title = {Random Projection in supervised non-stationary environments}, series = {28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2020, Bruges, Belgium, October 2-4, 2020}, booktitle = {28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2020, Bruges, Belgium, October 2-4, 2020}, pages = {405 -- 410}, language = {en} } @article{RaabHeusingerSchleif, author = {Raab, Christoph and Heusinger, Moritz and Schleif, Frank-Michael}, title = {Reactive Soft Prototype Computing for Concept Drift Streams}, series = {Neurocomputing}, volume = {416}, journal = {Neurocomputing}, doi = {10.1016/j.neucom.2019.11.111}, pages = {340 -- 351}, language = {en} } @inproceedings{ZhuSchleifHammer, author = {Zhu, Xibin and Schleif, Frank-Michael and Hammer, Barbara}, title = {Secure Semi-supervised Vector Quantization for Dissimilarity Data}, series = {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}, booktitle = {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}, editor = {Rojas, Ignacio and Joya Caparr{\´o}s, Gonzalo and Cabestany, Joan}, doi = {10.1007/978-3-642-38679-4_34}, pages = {347 -- 356}, language = {en} } @inproceedings{SchleifZhuHammer, author = {Schleif, Frank-Michael and Zhu, Xibin and Hammer, Barbara}, title = {Soft Competitive Learning for Large Data Sets}, series = {New Trends in Databases and Information Systems, Workshop Proceedings of the 16th East European Conference, ADBIS 2012, Poznań, Poland, September 17-21, 2012}, volume = {185}, booktitle = {New Trends in Databases and Information Systems, Workshop Proceedings of the 16th East European Conference, ADBIS 2012, Poznań, Poland, September 17-21, 2012}, editor = {Pechenizkiy, Mykola and Wojciechowski, Marek}, doi = {10.1007/978-3-642-32518-2\_14}, pages = {141 -- 151}, language = {en} } @inproceedings{SchleifZhuHammer, author = {Schleif, Frank-Michael and Zhu, Xibin and Hammer, Barbara}, title = {Sparse Prototype Representation by Core Sets}, series = {Intelligent Data Engineering and Automated Learning - IDEAL 2013 - 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013. Proceedings}, booktitle = {Intelligent Data Engineering and Automated Learning - IDEAL 2013 - 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013. Proceedings}, editor = {Yin, Hujun and Tang, Ke and Gao, Yang and Klawonn, Frank and Lee, Minho and Weise, Thomas and Li, Bin and Yao, Xin}, doi = {10.1007/978-3-642-41278-3_37}, pages = {302 -- 309}, language = {en} } @inproceedings{ZhuSchleifHammer, author = {Zhu, Xibin and Schleif, Frank-Michael and Hammer, Barbara}, title = {Semi-Supervised Vector Quantization for proximity data}, series = {21st European Symposium on Artificial Neural Networks, ESANN 2013, Bruges, Belgium, April 24-26, 2013}, booktitle = {21st European Symposium on Artificial Neural Networks, ESANN 2013, Bruges, Belgium, April 24-26, 2013}, language = {en} } @inproceedings{SchleifMokbelGisbrechtetal., author = {Schleif, Frank-Michael and Mokbel, Bassam and Gisbrecht, Andrej and Theunissen, Leslie and D{\"u}rr, Volker and Hammer, Barbara}, title = {Learning Relevant Time Points for Time-Series Data in the Life Sciences}, series = {Artificial Neural Networks and Machine Learning - ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II}, booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II}, editor = {Villa, Alessandro E. P. and Duch, Wlodzislaw and {\´E}rdi, P{\´e}ter and Masulli, Francesco and Palm, G{\"u}nther}, doi = {10.1007/978-3-642-33266-1_66}, pages = {531 -- 539}, language = {en} } @inproceedings{SchleifZhuHammer, author = {Schleif, Frank-Michael and Zhu, Xibin and Hammer, Barbara}, title = {A Conformal Classifier for Dissimilarity Data}, series = {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}, booktitle = {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}, editor = {Iliadis, Lazaros S. and Maglogiannis, Ilias and Papadopoulos, Harris and Karatzas, Kostas D. and Sioutas, Spyros}, doi = {10.1007/978-3-642-33412-2_24}, pages = {234 -- 243}, language = {en} } @inproceedings{HammerMokbelSchleifetal., author = {Hammer, Barbara and Mokbel, Bassam and Schleif, Frank-Michael and Zhu, Xibin}, title = {White Box Classification of Dissimilarity Data}, series = {Hybrid Artificial Intelligent Systems - 7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012. Proceedings, Part I}, booktitle = {Hybrid Artificial Intelligent Systems - 7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012. Proceedings, Part I}, editor = {Corchado, Emilio and Sn{\´a}sel, V{\´a}clav and Abraham, Ajith and Wozniak, Michal and Gra{\~n}a, Manuel and Cho, Sung-Bae}, doi = {10.1007/978-3-642-28942-2_28}, pages = {309 -- 321}, language = {en} } @inproceedings{ZhuSchleifHammer, author = {Zhu, Xibin and Schleif, Frank-Michael and Hammer, Barbara}, title = {Patch Processing for Relational Learning Vector Quantization}, series = {Advances in Neural Networks - ISNN 2012 - 9th International Symposium on Neural Networks, Shenyang, China, July 11-14, 2012. Proceedings, Part I}, booktitle = {Advances in Neural Networks - ISNN 2012 - 9th International Symposium on Neural Networks, Shenyang, China, July 11-14, 2012. Proceedings, Part I}, editor = {Wang, Jun and Yen, Gary G. and Polycarpou, Marios M.}, doi = {10.1007/978-3-642-31346-2_7}, pages = {55 -- 63}, language = {en} } @inproceedings{SchleifGisbrechtHammer, author = {Schleif, Frank-Michael and Gisbrecht, Andrej and Hammer, Barbara}, title = {Relevance learning for short high-dimensional time series in the life sciences}, series = {The 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, June 10-15, 2012}, booktitle = {The 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, June 10-15, 2012}, doi = {10.1109/IJCNN.2012.6252653}, pages = {1 -- 8}, language = {en} } @inproceedings{SchleifZhuGisbrechtetal., author = {Schleif, Frank-Michael and Zhu, Xibin and Gisbrecht, Andrej and Hammer, Barbara}, title = {Fast approximated relational and kernel clustering}, series = {Proceedings of the 21st International Conference on Pattern Recognition, ICPR 2012, Tsukuba, Japan, November 11-15, 2012}, booktitle = {Proceedings of the 21st International Conference on Pattern Recognition, ICPR 2012, Tsukuba, Japan, November 11-15, 2012}, pages = {1229 -- 1232}, language = {en} } @inproceedings{Schleif, author = {Schleif, Frank-Michael}, title = {Discriminative Fast Soft Competitive Learning}, series = {Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings}, booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings}, editor = {Wermter, Stefan and Weber, Cornelius and Duch, Wlodzislaw and Honkela, Timo and Koprinkova-Hristova, Petia D. and Magg, Sven and Palm, G{\"u}nther and Villa, Alessandro E. P.}, doi = {10.1007/978-3-319-11179-7_11}, pages = {81 -- 88}, language = {en} } @inproceedings{MuenchHeiligVaethetal., author = {M{\"u}nch, Maximilian and Heilig, Simon and V{\"a}th, Philipp and Schleif, Frank-Michael}, title = {Scalable embedding of multiple perspectives for indefinite life-science data analysis}, series = {IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, FL, USA, December 5-7, 2021}, booktitle = {IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, FL, USA, December 5-7, 2021}, doi = {10.1109/SSCI50451.2021.9659914}, pages = {1 -- 8}, language = {en} } @article{ZhuSchleifHammer, author = {Zhu, Xibin and Schleif, Frank-Michael and Hammer, Barbara}, title = {Adaptive conformal semi-supervised vector quantization for dissimilarity data}, series = {Pattern Recognition Letters}, volume = {49}, journal = {Pattern Recognition Letters}, doi = {10.1016/j.patrec.2014.07.009}, pages = {138 -- 145}, language = {en} } @article{SchleifRaabTino, author = {Schleif, Frank-Michael and Raab, Christoph and Ti{\~n}o, Peter}, title = {Sparsification of core set models in non-metric supervised learning}, series = {Pattern Recognition Letters}, volume = {129}, journal = {Pattern Recognition Letters}, doi = {10.1016/j.patrec.2019.10.024}, pages = {1 -- 7}, language = {en} } @inproceedings{SchleifTinoLiang, author = {Schleif, Frank-Michael and Ti{\~n}o, Peter and Liang, Yingyu}, title = {Learning in indefinite proximity spaces - recent trends}, series = {24th European Symposium on Artificial Neural Networks, ESANN 2016, Bruges, Belgium, April 27-29, 2016}, booktitle = {24th European Symposium on Artificial Neural Networks, ESANN 2016, Bruges, Belgium, April 27-29, 2016}, language = {en} } @article{StrickertBunteSchleifetal., author = {Strickert, Marc and Bunte, Kerstin and Schleif, Frank-Michael and H{\"u}llermeier, Eyke}, title = {Correlation-based embedding of pairwise score data}, series = {Neurocomputing}, volume = {141}, journal = {Neurocomputing}, doi = {10.1016/j.neucom.2014.01.049}, pages = {97 -- 109}, language = {en} } @article{RaabSchleif, author = {Raab, Christoph and Schleif, Frank-Michael}, title = {Transfer learning extensions for the probabilistic classification vector machine}, series = {Neurocomputing}, volume = {397}, journal = {Neurocomputing}, doi = {10.1016/j.neucom.2019.09.104}, pages = {320 -- 330}, language = {en} } @article{MicheliSchleifTino, author = {Micheli, Alessio and Schleif, Frank-Michael and Ti{\~n}o, Peter}, title = {Novel approaches in machine learning and computational intelligence}, series = {Neurocomputing}, volume = {112}, journal = {Neurocomputing}, doi = {10.1016/j.neucom.2013.01.005}, pages = {1 -- 3}, language = {en} } @inproceedings{Schleif, author = {Schleif, Frank-Michael}, title = {Proximity learning for non-standard big data}, series = {22th European Symposium on Artificial Neural Networks, ESANN 2014, Bruges, Belgium, April 23-25, 2014}, booktitle = {22th European Symposium on Artificial Neural Networks, ESANN 2014, Bruges, Belgium, April 23-25, 2014}, language = {en} } @inproceedings{RaabVaethMeieretal., author = {Raab, Christoph and V{\"a}th, Philipp and Meier, Peter and Schleif, Frank-Michael}, title = {Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks}, series = {Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part III}, booktitle = {Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part III}, editor = {Ishikawa, Hiroshi and Liu, Cheng-Lin and Pajdla, Tom{\´a}s and Shi, Jianbo}, doi = {10.1007/978-3-030-69535-4_28}, pages = {457 -- 473}, language = {en} } @inproceedings{Schleif, author = {Schleif, Frank-Michael}, title = {Advances in pre-processing and model generation for mass spectrometric data analysis}, series = {Similarity-based Clustering and its Application to Medicine and Biology, 25.03. - 30.03.2007}, booktitle = {Similarity-based Clustering and its Application to Medicine and Biology, 25.03. - 30.03.2007}, editor = {Biehl, Michael and Hammer, Barbara and Verleysen, Michel and Villmann, Thomas}, language = {en} } @inproceedings{SchleifGisbrecht, author = {Schleif, Frank-Michael and Gisbrecht, Andrej}, title = {Data Analysis of (Non-)Metric Proximities at Linear Costs}, series = {Similarity-Based Pattern Recognition - Second International Workshop, SIMBAD 2013, York, UK, July 3-5, 2013. Proceedings}, booktitle = {Similarity-Based Pattern Recognition - Second International Workshop, SIMBAD 2013, York, UK, July 3-5, 2013. Proceedings}, editor = {Hancock, Edwin R. and Pelillo, Marcello}, doi = {10.1007/978-3-642-39140-8_4}, pages = {59 -- 74}, language = {en} } @article{VillmannSchleifKostrzewaetal., author = {Villmann, Thomas and Schleif, Frank-Michael and Kostrzewa, Markus and Walch, Axel and Hammer, Barbara}, title = {Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods}, series = {Briefings in Bioinformatics}, volume = {9}, journal = {Briefings in Bioinformatics}, number = {2}, doi = {10.1093/bib/bbn009}, pages = {129 -- 143}, language = {en} } @article{StrickertSchleifSeiffertetal., author = {Strickert, Marc and Schleif, Frank-Michael and Seiffert, Udo and Villmann, Thomas}, title = {Derivatives of Pearson Correlation for Gradient-based Analysis of Biomedical Data}, series = {Inteligencia Artificial}, volume = {12}, journal = {Inteligencia Artificial}, number = {37}, pages = {37 -- 44}, language = {en} } @article{GisbrechtMokbelSchleifetal., author = {Gisbrecht, Andrej and Mokbel, Bassam and Schleif, Frank-Michael and Zhu, Xibin and Hammer, Barbara}, title = {Linear Time Relational Prototype Based Learning}, series = {International Journal of Neural Systems}, volume = {22}, journal = {International Journal of Neural Systems}, number = {5}, doi = {10.1142/S0129065712500219}, language = {en} } @inproceedings{RaabMeierSchleif, author = {Raab, Christoph and Meier, Peter and Schleif, Frank-Michael}, title = {Domain Invariant Representations with Deep Spectral Alignment}, series = {28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2020, Bruges, Belgium, October 2-4, 2020}, booktitle = {28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2020, Bruges, Belgium, October 2-4, 2020}, pages = {509 -- 514}, language = {en} } @phdthesis{Schleif, author = {Schleif, Frank-Michael}, title = {Prototype based machine learning for clinical proteomics}, language = {en} } @incollection{SchleifVillmannHammer, author = {Schleif, Frank-Michael and Villmann, Thomas and Hammer, Barbara}, title = {Prototype Based Classification in Bioinformatics}, series = {Encyclopedia of Artificial Intelligence (3 Volumes)}, booktitle = {Encyclopedia of Artificial Intelligence (3 Volumes)}, editor = {Rabu{\~n}al, Juan R. and Dorado, Juli{\´a}n and Pazos, Alejandro}, pages = {1337 -- 1342}, language = {en} } @inproceedings{VillmannSeiffertSchleifetal., author = {Villmann, Thomas and Seiffert, Udo and Schleif, Frank-Michael and Br{\"u}ß, Cornelia and Geweniger, Tina and Hammer, Barbara}, title = {Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes}, series = {Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006, Proceedings}, booktitle = {Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006, Proceedings}, editor = {Schwenker, Friedhelm and Marinai, Simone}, doi = {10.1007/11829898_5}, pages = {46 -- 56}, language = {en} } @inproceedings{GisbrechtHammerSchleifetal., author = {Gisbrecht, Andrej and Hammer, Barbara and Schleif, Frank-Michael and Zhu, Xibin}, title = {Accelerating kernel clustering for biomedical data analysis}, series = {Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2011, Paris, France, April 11-15, 2011}, booktitle = {Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2011, Paris, France, April 11-15, 2011}, editor = {Bates Congdon, Clare and Corns, Steven M. and Smith, Jennifer A.}, doi = {10.1109/CIBCB.2011.5948460}, pages = {154 -- 161}, language = {en} } @inproceedings{HammerHasenfussSchleifetal., author = {Hammer, Barbara and Hasenfuss, Alexander and Schleif, Frank-Michael and Villmann, Thomas}, title = {Supervised Batch Neural Gas}, series = {Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006, Proceedings}, booktitle = {Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006, Proceedings}, editor = {Schwenker, Friedhelm and Marinai, Simone}, doi = {10.1007/11829898_4}, pages = {33 -- 45}, language = {en} } @article{SchleifVillmannHammeretal., author = {Schleif, Frank-Michael and Villmann, Thomas and Hammer, Barbara and Schneider, Petra}, title = {Efficient Kernelized Prototype Based Classification}, series = {International Journal of Neural Systems}, volume = {21}, journal = {International Journal of Neural Systems}, number = {6}, doi = {10.1142/S012906571100295X}, pages = {443 -- 457}, language = {en} } @article{VillmannSchleifHammer, author = {Villmann, Thomas and Schleif, Frank-Michael and Hammer, Barbara}, title = {Comparison of relevance learning vector quantization with other metric adaptive classification methods}, series = {Neural Networks}, volume = {19}, journal = {Neural Networks}, number = {5}, doi = {10.1016/j.neunet.2005.07.013}, pages = {610 -- 622}, language = {en} } @inproceedings{SchleifHammerVillmann, author = {Schleif, Frank-Michael and Hammer, Barbara and Villmann, Thomas}, title = {Margin based Active Learning for LVQ Networks}, series = {14th European Symposium on Artificial Neural Networks, ESANN 2006, Bruges, Belgium, April 26-28, 2006, Proceedings}, booktitle = {14th European Symposium on Artificial Neural Networks, ESANN 2006, Bruges, Belgium, April 26-28, 2006, Proceedings}, pages = {539 -- 544}, language = {en} } @article{VillmannHammerSchleifetal., author = {Villmann, Thomas and Hammer, Barbara and Schleif, Frank-Michael and Geweniger, Tina and Hermann, Wieland}, title = {Fuzzy classification by fuzzy labeled neural gas}, series = {Neural Networks}, volume = {19}, journal = {Neural Networks}, number = {6-7}, doi = {10.1016/j.neunet.2006.05.026}, pages = {772 -- 779}, language = {en} } @article{AldoLeeSchleifMartinetz, author = {Aldo Lee, John and Schleif, Frank-Michael and Martinetz, Thomas}, title = {Advances in artificial neural networks, machine learning, and computational intelligence}, series = {Neurocomputing}, volume = {74}, journal = {Neurocomputing}, number = {9}, doi = {10.1016/j.neucom.2011.02.003}, pages = {1299 -- 1300}, language = {en} } @article{ZhuGisbrechtSchleifetal., author = {Zhu, Xibin and Gisbrecht, Andrej and Schleif, Frank-Michael and Hammer, Barbara}, title = {Approximation techniques for clustering dissimilarity data}, series = {Neurocomputing}, volume = {90}, journal = {Neurocomputing}, doi = {10.1016/j.neucom.2012.01.033}, pages = {72 -- 84}, language = {en} } @inproceedings{HammerVillmannSchleifetal., author = {Hammer, Barbara and Villmann, Thomas and Schleif, Frank-Michael and Albani, Cornelia and Hermann, Wieland}, title = {Learning Vector Quantization Classification with Local Relevance Determination for Medical Data}, series = {Artificial Intelligence and Soft Computing - ICAISC 2006, 8th International Conference, Zakopane, Poland, June 25-29, 2006, Proceedings}, booktitle = {Artificial Intelligence and Soft Computing - ICAISC 2006, 8th International Conference, Zakopane, Poland, June 25-29, 2006, Proceedings}, editor = {Rutkowski, Leszek and Tadeusiewicz, Ryszard and Zadeh, Lotfi A. and Zurada, Jacek M.}, doi = {10.1007/11785231_63}, pages = {603 -- 612}, language = {en} } @inproceedings{VillmannHammerSchleifetal., author = {Villmann, Thomas and Hammer, Barbara and Schleif, Frank-Michael and Geweniger, Tina and Fischer, Tom and Cottrell, Marie}, title = {Prototype Based Classification Using Information Theoretic Learning}, series = {Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II}, booktitle = {Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II}, editor = {King, Irwin and Wang, Jun and Chan, Laiwan and Wang, DeLiang L.}, doi = {10.1007/11893257_5}, pages = {40 -- 49}, language = {en} } @inproceedings{VillmannSchleifHammer, author = {Villmann, Thomas and Schleif, Frank-Michael and Hammer, Barbara}, title = {Fuzzy Labeled Soft Nearest Neighbor Classification with Relevance Learning}, series = {Fourth International Conference on Machine Learning and Applications, ICMLA 2005, Los Angeles, California, USA, 15-17 December 2005}, booktitle = {Fourth International Conference on Machine Learning and Applications, ICMLA 2005, Los Angeles, California, USA, 15-17 December 2005}, editor = {Arif Wani, M. and Milanova, Mariofanna G. and Kurgan, Lukasz A. and Reformat, Marek Z. and Hafeez, Khalid}, doi = {10.1109/ICMLA.2005.38}, language = {en} } @inproceedings{HammerMokbelSchleifetal., author = {Hammer, Barbara and Mokbel, Bassam and Schleif, Frank-Michael and Zhu, Xibin}, title = {Prototype-Based Classification of Dissimilarity Data}, series = {Advances in Intelligent Data Analysis X - 10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings}, booktitle = {Advances in Intelligent Data Analysis X - 10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings}, editor = {Gama, Jo{\~a}o and Bradley, Elizabeth and Hollm{\´e}n, Jaakko}, doi = {10.1007/978-3-642-24800-9_19}, pages = {185 -- 197}, language = {en} } @inproceedings{SchleifGisbrechtHammer, author = {Schleif, Frank-Michael and Gisbrecht, Andrej and Hammer, Barbara}, title = {Accelerating Kernel Neural Gas}, series = {Artificial Neural Networks and Machine Learning - ICANN 2011 - 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I}, booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2011 - 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I}, editor = {Honkela, Timo and Duch, Wlodzislaw and Girolami, Mark A. and Kaski, Samuel}, doi = {10.1007/978-3-642-21735-7_19}, pages = {150 -- 158}, language = {en} } @inproceedings{HammerSchleifZhu, author = {Hammer, Barbara and Schleif, Frank-Michael and Zhu, Xibin}, title = {Relational Extensions of Learning Vector Quantization}, series = {Neural Information Processing - 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part II}, booktitle = {Neural Information Processing - 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part II}, editor = {Lu, Bao-Liang and Zhang, Liqing and Kwok, James T.}, doi = {10.1007/978-3-642-24958-7_56}, pages = {481 -- 489}, language = {en} } @inproceedings{BruessBollenbeckSchleifetal., author = {Br{\"u}ß, Cornelia and Bollenbeck, Felix and Schleif, Frank-Michael and Weschke, Winfriede and Villmann, Thomas and Seiffert, Udo}, title = {Fuzzy image segmentation with Fuzzy Labelled Neural Gas}, series = {14th European Symposium on Artificial Neural Networks, ESANN 2006, Bruges, Belgium, April 26-28, 2006, Proceedings}, booktitle = {14th European Symposium on Artificial Neural Networks, ESANN 2006, Bruges, Belgium, April 26-28, 2006, Proceedings}, pages = {563 -- 568}, language = {en} } @inproceedings{GewenigerSchleifHasenfussetal., author = {Geweniger, Tina and Schleif, Frank-Michael and Hasenfuss, Alexander and Hammer, Barbara and Villmann, Thomas}, title = {Comparison of Cluster Algorithms for the Analysis of Text Data Using Kolmogorov Complexity}, series = {Advances in Neuro-Information Processing, 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II}, volume = {5507}, booktitle = {Advances in Neuro-Information Processing, 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II}, editor = {K{\"o}ppen, Mario and Kasabov, Nikola K. and Coghill, George G.}, doi = {10.1007/978-3-642-03040-6_8}, pages = {61 -- 69}, language = {en} } @incollection{SchleifVillmannHammeretal., author = {Schleif, Frank-Michael and Villmann, Thomas and Hammer, Barbara and van der Werff, Martijn and Deelder, Andr{\´e} M. and Tollenaar, Rob A. E. M.}, title = {Analysis of Spectral Data in Clinical Proteomics by Use of Learning Vector Quantizers}, series = {Computational Intelligence in Biomedicine and Bioinformatics, Current Trends and Applications}, volume = {151}, booktitle = {Computational Intelligence in Biomedicine and Bioinformatics, Current Trends and Applications}, editor = {Smolinski, Tomasz G. and Milanova, Mariofanna G. and Ella Hassanien, Aboul}, doi = {10.1007/978-3-540-70778-3_6}, pages = {141 -- 167}, language = {en} } @inproceedings{GisbrechtSchleifZhuetal., author = {Gisbrecht, Andrej and Schleif, Frank-Michael and Zhu, Xibin and Hammer, Barbara}, title = {Linear Time Heuristics for Topographic Mapping of Dissimilarity Data}, series = {Intelligent Data Engineering and Automated Learning - IDEAL 2011 - 12th International Conference, Norwich, UK, September 7-9, 2011. Proceedings}, booktitle = {Intelligent Data Engineering and Automated Learning - IDEAL 2011 - 12th International Conference, Norwich, UK, September 7-9, 2011. Proceedings}, editor = {Yin, Hujun and Wang, Wenjia and Rayward-Smith, Victor J.}, doi = {10.1007/978-3-642-23878-9_4}, pages = {25 -- 33}, language = {en} } @inproceedings{HammerGisbrechtHasenfussetal., author = {Hammer, Barbara and Gisbrecht, Andrej and Hasenfuss, Alexander and Mokbel, Bassam and Schleif, Frank-Michael and Zhu, Xibin}, title = {Topographic Mapping of Dissimilarity Data}, series = {Advances in Self-Organizing Maps - 8th International Workshop, WSOM 2011, Espoo, Finland, June 13-15, 2011. Proceedings}, booktitle = {Advances in Self-Organizing Maps - 8th International Workshop, WSOM 2011, Espoo, Finland, June 13-15, 2011. Proceedings}, editor = {Laaksonen, Jorma and Honkela, Timo}, doi = {10.1007/978-3-642-21566-7_1}, pages = {1 -- 15}, language = {en} } @inproceedings{BunteSchleifHaaseetal., author = {Bunte, Kerstin and Schleif, Frank-Michael and Haase, Sven and Villmann, Thomas}, title = {Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization}, series = {19th European Symposium on Artificial Neural Networks, ESANN 2011, Bruges, Belgium, April 27-29, 2011, Proceedings}, booktitle = {19th European Symposium on Artificial Neural Networks, ESANN 2011, Bruges, Belgium, April 27-29, 2011, Proceedings}, language = {en} } @article{VillmannHammerSchleifetal., author = {Villmann, Thomas and Hammer, Barbara and Schleif, Frank-Michael and Hermann, Wieland and Cottrell, Marie}, title = {Fuzzy classification using information theoretic learning vector quantization}, series = {Neurocomputing}, volume = {71}, journal = {Neurocomputing}, number = {16-18}, doi = {10.1016/j.neucom.2008.04.048}, pages = {3070 -- 3076}, language = {en} } @article{SchleifVillmannHammer, author = {Schleif, Frank-Michael and Villmann, Thomas and Hammer, Barbara}, title = {Prototype based fuzzy classification in clinical proteomics}, series = {International Journal of Approximate Reasoning}, volume = {47}, journal = {International Journal of Approximate Reasoning}, number = {1}, doi = {10.1016/j.ijar.2007.03.005}, pages = {4 -- 16}, language = {en} } @article{HammerHofmannSchleifetal., author = {Hammer, Barbara and Hofmann, Daniela and Schleif, Frank-Michael and Zhu, Xibin}, title = {Learning vector quantization for (dis-)similarities}, series = {Neurocomputing}, volume = {131}, journal = {Neurocomputing}, doi = {10.1016/j.neucom.2013.05.054}, pages = {43 -- 51}, language = {en} } @inproceedings{SchleifOngyerthVillmann, author = {Schleif, Frank-Michael and Ongyerth, Matthias and Villmann, Thomas}, title = {Sparse Coding Neural Gas for Analysis of Nuclear Magnetic Resonance Spectroscopy}, series = {Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, June 17-19, 2008, Jyv{\"a}skyl{\"a}, Finland}, booktitle = {Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, June 17-19, 2008, Jyv{\"a}skyl{\"a}, Finland}, doi = {10.1109/CBMS.2008.39}, pages = {620 -- 625}, language = {en} } @inproceedings{GerhardDeiningerSchleif, author = {Gerhard, Marc and Deininger, Soren-Oliver and Schleif, Frank-Michael}, title = {Statistical Classification and Visualization of MALDI-Imaging Data}, series = {20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 20-22 June 2007, Maribor, Slovenia}, booktitle = {20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 20-22 June 2007, Maribor, Slovenia}, doi = {10.1109/CBMS.2007.99}, pages = {403 -- 405}, language = {en} } @inproceedings{Schleif, author = {Schleif, Frank-Michael}, title = {Sparse kernelized vector quantization with local dependencies}, series = {The 2011 International Joint Conference on Neural Networks, IJCNN 2011, San Jose, California, USA, July 31 - August 5, 2011}, booktitle = {The 2011 International Joint Conference on Neural Networks, IJCNN 2011, San Jose, California, USA, July 31 - August 5, 2011}, doi = {10.1109/IJCNN.2011.6033407}, pages = {1538 -- 1545}, language = {en} } @inproceedings{StrickertSchleifVillmann, author = {Strickert, Marc and Schleif, Frank-Michael and Villmann, Thomas}, title = {Metric adaptation for supervised attribute rating}, series = {16th European Symposium on Artificial Neural Networks, ESANN 2008, Bruges, Belgium, April 23-25, 2008, Proceedings}, booktitle = {16th European Symposium on Artificial Neural Networks, ESANN 2008, Bruges, Belgium, April 23-25, 2008, Proceedings}, pages = {31 -- 36}, language = {en} }