@inproceedings{StrickertKeilwagenSchleifetal., author = {Strickert, Marc and Keilwagen, Jens and Schleif, Frank-Michael and Villmann, Thomas and Biehl, Michael}, title = {Matrix Metric Adaptation for Improved Linear Discriminant Analysis of Biomedical Data}, series = {Bio-Inspired Systems: Computational and Ambient Intelligence, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, Part I}, booktitle = {Bio-Inspired Systems: Computational and Ambient Intelligence, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, Part I}, editor = {Cabestany, Joan and Sandoval Hern{\´a}ndez, Francisco and Prieto, Alberto and Corchado, Juan M.}, doi = {10.1007/978-3-642-02478-8_117}, pages = {933 -- 940}, language = {en} } @inproceedings{MuenchStraatBiehletal., author = {M{\"u}nch, Maximilian and Straat, Michiel and Biehl, Michael and Schleif, Frank-Michael}, title = {Complex-Valued Embeddings of Generic Proximity Data}, series = {Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshops, S+SSPR 2020, Padua, Italy, January 21-22, 2021, Proceedings}, booktitle = {Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshops, S+SSPR 2020, Padua, Italy, January 21-22, 2021, Proceedings}, editor = {Torsello, Andrea and Rossi, Luca and Pelillo, Marcello and Biggio, Battista and Robles-Kelly, Antonio}, doi = {10.1007/978-3-030-73973-7_2}, pages = {14 -- 23}, language = {en} } @inproceedings{MuenchRaabBiehletal., author = {M{\"u}nch, Maximilian and Raab, Christoph and Biehl, Michael and Schleif, Frank-Michael}, title = {Structure Preserving Encoding of Non-euclidean Similarity Data}, series = {Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2020, Valletta, Malta, February 22-24, 2020}, booktitle = {Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2020, Valletta, Malta, February 22-24, 2020}, editor = {De Marsico, Maria and Sanniti di Baja, Gabriella and Fred, Ana L. N.}, doi = {10.5220/0008955100430051}, pages = {43 -- 51}, language = {en} } @inproceedings{SchleifVillmannHammeretal., author = {Schleif, Frank-Michael and Villmann, Thomas and Hammer, Barbara and Schneider, Petra and Biehl, Michael}, title = {Generalized Derivative Based Kernelized Learning Vector Quantization}, series = {Intelligent Data Engineering and Automated Learning - IDEAL 2010, 11th International Conference, Paisley, UK, September 1-3, 2010. Proceedings}, booktitle = {Intelligent Data Engineering and Automated Learning - IDEAL 2010, 11th International Conference, Paisley, UK, September 1-3, 2010. Proceedings}, editor = {Fyfe, Colin and Ti{\~n}o, Peter and Charles, Darryl and Ignacio Garc{\i}́a-Osorio, C{\´e}sar and Yin, Hujun}, doi = {10.1007/978-3-642-15381-5_3}, pages = {21 -- 28}, language = {en} } @inproceedings{VillmannHaaseSchleifetal., author = {Villmann, Thomas and Haase, Sven and Schleif, Frank-Michael and Hammer, Barbara and Biehl, Michael}, title = {The Mathematics of Divergence Based Online Learning in Vector Quantization}, series = {Artificial Neural Networks in Pattern Recognition, 4th IAPR TC3 Workshop, ANNPR 2010, Cairo, Egypt, April 11-13, 2010. Proceedings}, booktitle = {Artificial Neural Networks in Pattern Recognition, 4th IAPR TC3 Workshop, ANNPR 2010, Cairo, Egypt, April 11-13, 2010. Proceedings}, editor = {Schwenker, Friedhelm and El Gayar, Neamat}, doi = {10.1007/978-3-642-12159-3_10}, pages = {108 -- 119}, language = {en} } @article{SchleifRiemerBoerneretal., author = {Schleif, Frank-Michael and Riemer, T. and B{\"o}rner, U. and Schnapka-Hille, L. and Cross, Michael}, title = {Genetic algorithm for shift-uncertainty correction in 1-D NMR-based metabolite identifications and quantifications}, series = {Bioinformatics}, volume = {27}, journal = {Bioinformatics}, number = {4}, doi = {10.1093/bioinformatics/btq661}, pages = {524 -- 533}, language = {en} } @article{MwebazeSchneiderSchleifetal., author = {Mwebaze, Ernest and Schneider, Petra and Schleif, Frank-Michael and Aduwo, Jennifer R. and Quinn, John A. and Haase, Sven and Villmann, Thomas and Biehl, Michael}, title = {Divergence-based classification in learning vector quantization}, series = {Neurocomputing}, volume = {74}, journal = {Neurocomputing}, number = {9}, doi = {10.1016/j.neucom.2010.10.016}, pages = {1429 -- 1435}, language = {en} } @inproceedings{SchneiderSchleifVillmannetal., author = {Schneider, Petra and Schleif, Frank-Michael and Villmann, Thomas and Biehl, Michael}, title = {Generalized matrix learning vector quantizer for the analysis of spectral data}, 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 = {451 -- 456}, language = {en} } @inproceedings{MwebazeSchneiderSchleifetal., author = {Mwebaze, Ernest and Schneider, Petra and Schleif, Frank-Michael and Haase, Sven and Villmann, Thomas and Biehl, Michael}, title = {Divergence based Learning Vector Quantization}, 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} } @inproceedings{SchneiderGewenigerSchleifetal., author = {Schneider, Petra and Geweniger, Tina and Schleif, Frank-Michael and Biehl, Michael and Villmann, Thomas}, title = {Multivariate class labeling in Robust Soft LVQ}, 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{SchleifBiehlVellido, author = {Schleif, Frank-Michael and Biehl, Michael and Vellido, Alfredo}, title = {Advances in machine learning and computational intelligence}, series = {Neurocomputing}, volume = {72}, journal = {Neurocomputing}, number = {7-9}, doi = {10.1016/j.neucom.2008.12.013}, pages = {1377 -- 1378}, language = {en} } @article{BiehlGhioSchleif, author = {Biehl, Michael and Ghio, Alessandro and Schleif, Frank-Michael}, title = {Developments in computational intelligence and machine learning}, series = {Neurocomputing}, volume = {169}, journal = {Neurocomputing}, doi = {10.1016/j.neucom.2015.03.062}, pages = {185 -- 186}, language = {en} } @article{SchleifHammerGonzalezMonroyetal., author = {Schleif, Frank-Michael and Hammer, Barbara and Gonzalez Monroy, Javier and Gonz{\´a}lez Jim{\´e}nez, Javier and Blanco-Claraco, Jos{\´e}-Luis and Biehl, Michael and Petkov, Nicolai}, title = {Odor recognition in robotics applications by discriminative time-series modeling}, series = {Pattern Analysis and Applications}, volume = {19}, journal = {Pattern Analysis and Applications}, number = {1}, doi = {10.1007/s10044-014-0442-2}, pages = {207 -- 220}, language = {en} } @inproceedings{BiehlBunteSchleifetal., author = {Biehl, Michael and Bunte, Kerstin and Schleif, Frank-Michael and Schneider, Petra and Villmann, Thomas}, title = {Large margin linear discriminative visualization by Matrix Relevance Learning}, 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.2012.6252627}, pages = {1 -- 8}, language = {en} } @article{BunteSchneiderHammeretal., author = {Bunte, Kerstin and Schneider, Petra and Hammer, Barbara and Schleif, Frank-Michael and Villmann, Thomas and Biehl, Michael}, title = {Limited Rank Matrix Learning, discriminative dimension reduction and visualization}, series = {Neural Networks}, volume = {26}, journal = {Neural Networks}, doi = {10.1016/j.neunet.2011.10.001}, pages = {159 -- 173}, language = {en} } @article{MuenchRaabBiehletal., author = {M{\"u}nch, Maximilian and Raab, Christoph and Biehl, Michael and Schleif, Frank-Michael}, title = {Data-Driven Supervised Learning for Life Science Data}, series = {Frontiers in Applied Mathematics and Statistics}, volume = {6}, journal = {Frontiers in Applied Mathematics and Statistics}, doi = {10.3389/fams.2020.553000}, pages = {553000 -- 553000}, language = {en} } @inproceedings{BunteSchleifBiehl, author = {Bunte, Kerstin and Schleif, Frank-Michael and Biehl, Michael}, title = {Adaptive learning for complex-valued data}, series = {20th European Symposium on Artificial Neural Networks, ESANN 2012, Bruges, Belgium, April 25-27, 2012}, booktitle = {20th European Symposium on Artificial Neural Networks, ESANN 2012, Bruges, Belgium, April 25-27, 2012}, language = {en} } @inproceedings{BiehlHammerSchleifetal., author = {Biehl, Michael and Hammer, Barbara and Schleif, Frank-Michael and Schneider, Petra and Villmann, Thomas}, title = {Stationarity of Matrix Relevance LVQ}, series = {2015 International Joint Conference on Neural Networks, IJCNN 2015, Killarney, Ireland, July 12-17, 2015}, booktitle = {2015 International Joint Conference on Neural Networks, IJCNN 2015, Killarney, Ireland, July 12-17, 2015}, doi = {10.1109/IJCNN.2015.7280441}, pages = {1 -- 8}, language = {en} } @article{MuenchStraatBiehletal., author = {M{\"u}nch, Maximilian and Straat, Michiel and Biehl, Michael and Schleif, Frank-Michael}, title = {Complex-valued embeddings of generic proximity data}, series = {CoRR}, volume = {abs/2008.13454}, journal = {CoRR}, language = {en} } @article{HartmannKnoppShandyetal., author = {Hartmann, J{\"u}rgen and Knopp, Kevin and Shandy, Amir and Winterstein, Achim and Arduini, Mariacarla and Hemberger, Frank and Vidi, Stephan and Manara, Jochen and M{\"u}ller, Michael}, title = {Thermophysikalische Charakterisierung von W{\"a}rmed{\"a}mmschichten}, series = {tm - Technisches Messen}, volume = {88}, journal = {tm - Technisches Messen}, number = {12}, publisher = {Oldenbourg Wissenschaftsverlag}, doi = {10.1515/teme-2021-0074}, abstract = {Die Effizienzsteigerung moderner Gasturbinen erfordert die stetige Anhebung der Betriebstemperatur. Die derzeitigen Brenngastemperaturen liegen mit {\"u}ber 1400 °C signifikant {\"u}ber der kritischen Temperatur der verwendeten Turbinenst{\"a}hle. Zur Gew{\"a}hrleistung der Betriebssicherheit werden die Turbinenschaufeln neben Aktivk{\"u}hlung durch Beschichtung mit thermischen Schutzschichten, sogenannten thermal barrier coatings (TBC), gesch{\"u}tzt. Da es sich bei den TBC um Keramikschichten handelt, ist f{\"u}r die Erh{\"o}hung der Haftfestigkeit das Aufbringen eines Haftvermittlers (Verbindungsschicht) notwendig. Da die Eigenschaften d{\"u}nner Schichten stark von den Eigenschaften des Bulkmaterials abweichen k{\"o}nnen und zudem von der Herstellungsmethode beeinflusst werden, ist eine Untersuchung der thermischen und infrarot-optischen Eigenschaften der tats{\"a}chlichen Schichtstrukturen unumg{\"a}nglich, insbesondere im Hochtemperaturbereich. Hierf{\"u}r wurden Proben des reinen Tr{\"a}gerstahls, des Tr{\"a}gerstahls mit Haftvermittlerschicht und des kompletten Schichtsystems aus Tr{\"a}gerstahl, Haftvermittlerschicht und W{\"a}rmed{\"a}mmschicht verschiedener Dicken hergestellt und mittels Laser-Flash-Methode untersucht. Die Auswertung erfolgte dabei analytisch, ausgehend von der Tr{\"a}gerstahl-Einschichtprobe, {\"u}ber die Zweischicht- und Dreischichtsysteme. Vervollst{\"a}ndigt wurden diese Untersuchungen durch infrarot-optische Charakterisierungen, mit denen sich die W{\"a}rmeausbreitung durch die Schichtsysteme beschreiben l{\"a}sst. Zusammen mit den Laser-Flash Messungen erlaubt dies eine sp{\"a}tere Quantifizierung der einzelnen, bei Keramiken auftretenden, W{\"a}rmetransportmechanismen.}, language = {de} } @inproceedings{HartmannKnoppLenskietal., author = {Hartmann, J{\"u}rgen and Knopp, Kevin and Lenski, Philipp and Ochs, Dennis and Z{\"a}nglein, Marc and Arduini, Mariacarla and Hemberger, Frank and Vidi, Stephan and Manara, Jochen and M{\"u}ller, Michael and M{\"o}ller, F.}, title = {Thermophysikalische Charakterisierung von W{\"a}rmed{\"a}mmschichten}, address = {Berlin}, language = {de} } @inproceedings{HartmannKnoppLenskietal., author = {Hartmann, J{\"u}rgen and Knopp, Kevin and Lenski, Philipp and Ochs, Dennis and Z{\"a}nglein, Marc and Stark, Thomas and Zipf, Matthias and Arduini, Mariacarla and Hemberger, Frank and Vidi, Stephan and Manara, Jochen and M{\"u}ller, Michael and M{\"o}ller, F.}, title = {Systematische thermophysikalische Charakterisierung von W{\"a}rmed{\"a}mmschichten}, address = {N{\"u}rnberg}, language = {de} } @misc{FrankGrundmannHerranzGraciaetal., author = {Frank, Michael and Grundmann, J{\"o}rn and Herranz Gracia, Mercedes and Nick, Wolfgang}, title = {Helical Winding with Increased Field Use (Patent)}, abstract = {Es wird ein Stator (3) f{\"u}r eine elektrische Wechselstrom-Maschine (1) mit einer magnetischen Polzahl p angegeben, - wobei der Stator (3) eine zentrale Achse A aufweist, - wobei der Stator (3) eine Statorwicklung (4) mit einer Mehrzahl von Leiterwindungen (13j) aufweist, welche jeweils zumindest in einem Teilabschnitt (l) bez{\"u}glich der zentralen Achse (A) helixartig verlaufen, - wobei die einzelnen Leiterwindungen (13j) zu insgesamt n elektrischen Str{\"a}ngen (u1, u2 bis w3, w4) gruppiert sind, dadurch gekennzeichnet, dass die Anzahl n der Str{\"a}nge gr{\"o}ßer als drei ist, insbesondere ein ganzzahliges Vielfaches von drei. Weiterhin wird eine elektrische Maschine (1) mit einem derartigen Stator (3) angegeben.}, language = {en} } @misc{FilipenkoFrankGleixneretal., author = {Filipenko, Mykhaylo and Frank, Michael and Gleixner, Thomas and Grundmann, J{\"o}rn and Herranz Gracia, Mercedes}, title = {Electrical Coil Arrangement Comprising Litz Wire Conductor Segments (Patent)}, abstract = {Es wird eine elektrische Spulenanordnung (21) umfassend wenigstens eine Leiterwindung (wi; wl, w2) mit zwei Leiterzweigen (23a, 23b) beschrieben, von denen der erste Leiterzweig (23a) bez{\"u}glich der vorgegebenen Stromflussrichtung als Hinleiter und der zweite Leiterzweig (23b) bez{\"u}glich dieser Stromflussrichtung als R{\"u}ckleiter ausgebildet ist. Dabei sind die einzelnen Leiterzweige (23a, 23b) als verpresste und mit einem geh{\"a}rteten F{\"u}llmittel (40) in eine stabile Form gebrachte Litzenleiter mit einer Vielzahl von elektrisch leitf{\"a}higen Einzeldr{\"a}hten (38) ausgebildet, wobei jeder einzelne Leiterzweig (23a, 23b) als separates, vorgefertigtes Leitersegment (27) gebildet ist, welches nachtr{\"a}glich in wenigstens einem Endbereich (17) elektrisch leitend mit einem anderen, zugeordneten Leiterzweig (23b, 23a) verbunden ist. Weiterhin werden eine elektrische Maschine (1) mit einer derartigen Spulenanordnung (21) und ein Verfahren zur Herstellung einer solchen Spulenanordnung (21) beschrieben.}, language = {en} }