@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} }