TY - CHAP A1 - Biehl, Michael A1 - Bunte, Kerstin A1 - Schleif, Frank-Michael A1 - Schneider, Petra A1 - Villmann, Thomas T1 - Large margin linear discriminative visualization by Matrix Relevance Learning 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.2012.6252627 SP - 1 EP - 8 ER - TY - JOUR A1 - Bunte, Kerstin A1 - Schneider, Petra A1 - Hammer, Barbara A1 - Schleif, Frank-Michael A1 - Villmann, Thomas A1 - Biehl, Michael T1 - Limited Rank Matrix Learning, discriminative dimension reduction and visualization JF - Neural Networks Y1 - 2012 U6 - https://doi.org/10.1016/j.neunet.2011.10.001 VL - 26 SP - 159 EP - 173 ER - TY - JOUR A1 - Münch, Maximilian A1 - Raab, Christoph A1 - Biehl, Michael A1 - Schleif, Frank-Michael T1 - Data-Driven Supervised Learning for Life Science Data JF - Frontiers in Applied Mathematics and Statistics Y1 - 2020 U6 - https://doi.org/10.3389/fams.2020.553000 VL - 6 SP - 553000 EP - 553000 ER - TY - CHAP A1 - Bunte, Kerstin A1 - Schleif, Frank-Michael A1 - Biehl, Michael T1 - Adaptive learning for complex-valued data T2 - 20th European Symposium on Artificial Neural Networks, ESANN 2012, Bruges, Belgium, April 25-27, 2012 Y1 - 2012 ER - TY - CHAP A1 - Biehl, Michael A1 - Hammer, Barbara A1 - Schleif, Frank-Michael A1 - Schneider, Petra A1 - Villmann, Thomas T1 - Stationarity of Matrix Relevance LVQ T2 - 2015 International Joint Conference on Neural Networks, IJCNN 2015, Killarney, Ireland, July 12-17, 2015 Y1 - 2015 U6 - https://doi.org/10.1109/IJCNN.2015.7280441 SP - 1 EP - 8 ER - TY - JOUR A1 - Münch, Maximilian A1 - Straat, Michiel A1 - Biehl, Michael A1 - Schleif, Frank-Michael T1 - Complex-valued embeddings of generic proximity data JF - CoRR Y1 - 2020 VL - abs/2008.13454 ER - TY - JOUR A1 - Hartmann, Jürgen A1 - Knopp, Kevin A1 - Shandy, Amir A1 - Winterstein, Achim A1 - Arduini, Mariacarla A1 - Hemberger, Frank A1 - Vidi, Stephan A1 - Manara, Jochen A1 - Müller, Michael T1 - Thermophysikalische Charakterisierung von Wärmedämmschichten T1 - Thermophysical characterization of thermal barrier layers JF - tm - Technisches Messen N2 - Die Effizienzsteigerung moderner Gasturbinen erfordert die stetige Anhebung der Betriebstemperatur. Die derzeitigen Brenngastemperaturen liegen mit über 1400 °C signifikant über der kritischen Temperatur der verwendeten Turbinenstähle. Zur Gewährleistung der Betriebssicherheit werden die Turbinenschaufeln neben Aktivkühlung durch Beschichtung mit thermischen Schutzschichten, sogenannten thermal barrier coatings (TBC), geschützt. Da es sich bei den TBC um Keramikschichten handelt, ist für die Erhöhung der Haftfestigkeit das Aufbringen eines Haftvermittlers (Verbindungsschicht) notwendig. Da die Eigenschaften dünner Schichten stark von den Eigenschaften des Bulkmaterials abweichen können und zudem von der Herstellungsmethode beeinflusst werden, ist eine Untersuchung der thermischen und infrarot-optischen Eigenschaften der tatsächlichen Schichtstrukturen unumgänglich, insbesondere im Hochtemperaturbereich. Hierfür wurden Proben des reinen Trägerstahls, des Trägerstahls mit Haftvermittlerschicht und des kompletten Schichtsystems aus Trägerstahl, Haftvermittlerschicht und Wärmedämmschicht verschiedener Dicken hergestellt und mittels Laser-Flash-Methode untersucht. Die Auswertung erfolgte dabei analytisch, ausgehend von der Trägerstahl-Einschichtprobe, über die Zweischicht- und Dreischichtsysteme. Vervollständigt wurden diese Untersuchungen durch infrarot-optische Charakterisierungen, mit denen sich die Wärmeausbreitung durch die Schichtsysteme beschreiben lässt. Zusammen mit den Laser-Flash Messungen erlaubt dies eine spätere Quantifizierung der einzelnen, bei Keramiken auftretenden, Wärmetransportmechanismen. N2 - Increasing the efficiency of modern gas turbines requires the increase of operating temperature. Current fuel gas temperatures above 1400 °C significantly exceed critical temperatures of the turbine steels used. To ensure operational safety, the turbine blades are actively cooled and also protected by protective layers, the so-called thermal barrier coatings (TBC). Since the TBC are ceramic layers, an adhesion promoter (bond coat) must be applied to increase the adhesive strength. Since properties of thin layers can differ from properties of the bulk material and are also influenced by the manufacturing method, an investigation of the thermal and infrared-optical properties of the actual layer is essential, especially in the high temperature range. For this purpose, samples of the pure carrier steel, the carrier steel with bond coat and the complete layer system of carrier steel, bond coat and TBC of various thicknesses were produced and examined using the laser flash method. The evaluation was carried out analytically, starting from the single-layer sample, via the two-layer and three-layer systems. These investigations were completed by infrared-optical characterizations, allowing the description of the heat transport through the layer systems. These measurements allow a future quantification of the individual heat transport mechanisms occurring in ceramics. KW - kontaktlose Messung KW - thermische Charakterisierung KW - thermische Wärmeschutzbarrieren KW - Kontaktwiderstand KW - Laser-Flash-Verfahren KW - Contactless measurement KW - thermal characterization KW - thermal barrier coatings KW - contact resistance KW - laser flash method Y1 - 2021 U6 - https://doi.org/10.1515/teme-2021-0074 VL - 88 IS - 12 PB - Oldenbourg Wissenschaftsverlag ER - TY - CHAP A1 - Hartmann, Jürgen A1 - Knopp, Kevin A1 - Lenski, Philipp A1 - Ochs, Dennis A1 - Zänglein, Marc A1 - Arduini, Mariacarla A1 - Hemberger, Frank A1 - Vidi, Stephan A1 - Manara, Jochen A1 - Müller, Michael A1 - Möller, F. T1 - Thermophysikalische Charakterisierung von Wärmedämmschichten BT - Temperatur 2020 Y1 - 2020 CY - Berlin ER - TY - CHAP A1 - Hartmann, Jürgen A1 - Knopp, Kevin A1 - Lenski, Philipp A1 - Ochs, Dennis A1 - Zänglein, Marc A1 - Stark, Thomas A1 - Zipf, Matthias A1 - Arduini, Mariacarla A1 - Hemberger, Frank A1 - Vidi, Stephan A1 - Manara, Jochen A1 - Müller, Michael A1 - Möller, F. T1 - Systematische thermophysikalische Charakterisierung von Wärmedämmschichten BT - Sensoren und Messsysteme 2019 Y1 - 2019 CY - Nürnberg ER - TY - GEN A1 - Frank, Michael A1 - Grundmann, Jörn A1 - Herranz Gracia, Mercedes A1 - Nick, Wolfgang T1 - Helical Winding with Increased Field Use (Patent) N2 - Es wird ein Stator (3) für 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) bezüglich der zentralen Achse (A) helixartig verlaufen, - wobei die einzelnen Leiterwindungen (13j) zu insgesamt n elektrischen Strängen (u1, u2 bis w3, w4) gruppiert sind, dadurch gekennzeichnet, dass die Anzahl n der Stränge größer als drei ist, insbesondere ein ganzzahliges Vielfaches von drei. Weiterhin wird eine elektrische Maschine (1) mit einem derartigen Stator (3) angegeben. N2 - The invention relates to a stator (3) for an electric alternating-current machine (1) with a number of magnetic poles p, wherein the stator (3) comprises a central axis A, said stator (3) comprises a stator winding (4) with a plurality of conductor windings (13j), a portion (l) of each winding running helically in relation to the central axis (A), and wherein the individual conductor windings (13j) are grouped together to collectively form n phase windings (u1, u2 to w3, w4), characterised in that the number n of the phase windings is higher than three, particularly an integral multiple of three. The invention further relates to an electric machine (1) comprising such a stator (3). N2 - L'invention concerne un stator (3) pour une machine électrique à courant alternatif (1) ayant un nombre p de pôles magnétiques. Le stator (3) comprend : - un axe central A ; - un enroulement de stator (4) ayant une pluralité d’enroulements de fils (13j) qui présentent dans au moins une sous-partie (l) une forme hélicoïdale par rapport à l’axe central (A), - les enroulements de fils individuels (13j) étant regroupés en un total de n faisceaux (u1, u2 à w3, w4). Le stator est caractérisé en ce que le nombre n des faisceaux est supérieur à trois, en particulier est un multiple entier de trois. La présente invention concerne en outre une machine électrique (1) équipée d’un stator (3) de ce genre. KW - Helical Winding with Increased Field Use Y1 - 2017 UR - https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2018069517&_cid=P20-KU3284-23802-1 ER - TY - GEN A1 - Filipenko, Mykhaylo A1 - Frank, Michael A1 - Gleixner, Thomas A1 - Grundmann, Jörn A1 - Herranz Gracia, Mercedes T1 - Electrical Coil Arrangement Comprising Litz Wire Conductor Segments (Patent) N2 - 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) bezüglich der vorgegebenen Stromflussrichtung als Hinleiter und der zweite Leiterzweig (23b) bezüglich dieser Stromflussrichtung als Rückleiter ausgebildet ist. Dabei sind die einzelnen Leiterzweige (23a, 23b) als verpresste und mit einem gehärteten Füllmittel (40) in eine stabile Form gebrachte Litzenleiter mit einer Vielzahl von elektrisch leitfähigen Einzeldrähten (38) ausgebildet, wobei jeder einzelne Leiterzweig (23a, 23b) als separates, vorgefertigtes Leitersegment (27) gebildet ist, welches nachträglich 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. N2 - The invention describes an electrical coil arrangement (21) comprising at least one conductor turn (wi; wl, w2) with two conductor branches (23a, 23b), the first conductor branch (23a) of which is designed as a forward conductor with respect to the prespecified current flow direction and the second conductor branch (23b) of which is designed as a return conductor with respect to this current flow direction. In this case, the individual conductor branches (23a, 23b) are in the form of pressed litz wire conductors which are made stable by a cured filling material (40) and have a large number of electrically conductive individual wires (38), wherein each individual conductor branch (23a, 23b) is formed as a separate, prefabricated conductor segment (27) which is subsequently electrically conductively connected to one another, associated conductor branch (23b, 23a) in at least one end region (17). The invention further describes an electrical machine (1) comprising a coil arrangement (21) of this kind, and a method for producing a coil arrangement (21) of this kind. N2 - L’invention concerne un ensemble de bobine électrique (21) comprenant au moins un enroulement de conducteur (wi ; wl, w2) comportant deux branches de conducteur (23a, 23b) dont la première branche de conducteur (23a) est conçue comme conducteur aller par rapport au sens de circulation de courant prédéterminé et la seconde branche de conducteur (23b) est conçue comme conducteur de retour par rapport à ce sens de circulation de courant. Selon l’invention, les branches de conducteur individuelles (23a, 23b) sont conçues comme des conducteurs multibrins pressés qui sont amenés sous une forme stable avec une matière de remplissage durcie (40) et qui comportent une pluralité de fils individuels (38) électriquement conducteurs. Chaque branche de conducteur individuelle (23a, 23b) est formée comme un segment de conducteur préfabriqué séparé (27) qui est ensuite relié électriquement, dans au moins une zone d’extrémité (17), à une autre branche de conducteur (23b, 23a) associée. En outre, l’invention concerne une machine électrique (1) pourvue d’un tel ensemble de bobine (21) et un procédé de fabrication d’un tel ensemble de bobine (21). KW - Electrical Coil Arrangement Comprising Litz Wire Conductor Segments Y1 - 2017 UR - https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2018086983&_cid=P20-KU3284-23802-1 ER - TY - GEN A1 - Frank, Michael A1 - Grundmann, Jörn A1 - Herranz Gracia, Mercedes A1 - Nick, Wolfgang T1 - Helical Winding with More Homogeneous Field Utilisation (Patent) N2 - Helixartige Wicklung mit homogenerer Feldausnutzung Es wird ein Stator (3) für 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, - wobei die einzelnen Leiterwindungen (13j) zu insgesamt n elektrischen Strängen (u, v, w) gruppiert sind, - wobei die Leiterwindungen (13j) eines Stranges jeweils wenigstens einen ersten (23a) und einen zweiten Leiterzweig (23b) aufweisen, - wobei diese Leiterzweige (23a, 23b) auf dem überwiegenden Teil (1) ihrer Länge helixartig um die zentrale Achse (A) angeordnet sind - und wobei diese helixartig angeordneten Leiterzweige (23a, 23b) jeweils eine Ganghöhe h aufweisen, die größer ist als das Produkt der axialen Länge 1 der helixartigen Leiterzweige (13j) und der Polzahl p. Weiterhin wird eine elektrische Maschine (1) mit einem derartigen Stator (3) angegeben. N2 - The invention relates to a stator (3) for an electric alternating current machine (1) with a number p of magnetic poles, wherein - the stator (3) has a central axis A, - the stator (3) has a stator winding (4) with a plurality of conductor windings (13j), - the individual conductor windings (13j) are grouped into a total of n electric phases (u, v, w), - the conductor windings (13j) of a phase each have at least a first conductor branch (23a) and a second conductor branch (23b), - said conductor branches (23a, 23b), over most (1) of the length thereof, are arranged in a helical manner around the central axis (A), and - said helically arranged conductor branches (23a, 23b) each have a pitch h greater than the product of the axial length l of the helical conductor branches (13j) and the pole number p. The invention also relates to an electric machine (1) having a stator (3) of this kind. N2 - L’invention concerne un stator (3) destiné à un moteur électrique à courant alternatif (1) comportant un nombre p de pôles magnétiques. Le stator (3) présente un axe central (A), le stator (3) présente un enroulement statorique (4) comportant une pluralité de spires conductrices (13j), les spires conductrices individuelles (13j) sont groupées pour former au total n phases électriques (u, v, w), les spires conductrices (13j) d’une phase présentent chacune au moins une première et une seconde branche conductrice (23a, 23b), lesdites branches conductrices (23a, 23b) sont agencées de manière hélicoïdale autour de l’axe central (A) sur la plus grande partie (1) de leur longueur, et lesdites branches conductrices (23a, 23b) agencées de manière hélicoïdale présentent chacune un pas h qui est plus grand que le produit de la longueur axiale 1 de la branche conductrice hélicoïdale (13j) et du nombre p de pôles. L’invention concerne par ailleurs un moteur électrique (1) muni dudit stator (3). Y1 - 2018 UR - https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2018069203&_cid=P20-KU334I-31849-2 ER - TY - CHAP A1 - Grzegorzek, Marcin A1 - Deinzer, Frank A1 - Reinhold, Michael A1 - Denzler, Joachim A1 - Niemann, Heinrich ED - Ertl, T. ED - Girod, B. ED - Greiner, G. ED - Niemann, Heinrich ED - Seidl, H.-P. ED - Steinbach, E. ED - Westermann, R. T1 - How Fusion of Multiple Views Can Improve Object Recognition in Real-World Environments T2 - Proceedings of the Vision, Modeling, and Visualization Conference 2003 N2 - In the past decades most object recognition systems were based on passive approaches. But in the last few years a lot of research was done in the field of active object recognition. In this context there are several unique problems to be solved. One of them is how to fuse a series of images that might differ in their viewpoints. In this paper we present a well-founded approach for the fusion of multiple views based on a recursive density propagation method. It uses particle filters for solving the fusion in a continuous pose space. Furthermore we will show by means of a statistical object recognition system how to integrate such systems into our fusion approach. The experimental result will show, how the fusion can improve classification rates substantial, es-pecially for difficult conditions like heterogeneous background within real world environments. Y1 - 2003 UR - https://pub.inf-cv.uni-jena.de/pdf/Grzegorzek03:HFO.pdf SN - 3-89838-048-3 SP - 553 EP - 560 ER - TY - CHAP A1 - Zollhöfer, Michael A1 - Siegl, Christian A1 - Riffelmacher, Bert A1 - Vetter, Mark A1 - Dreyer, Boris A1 - Stamminger, Marc A1 - Bauer, Frank ED - Klein, Reinhard ED - Santos, Pedro T1 - Low-Cost Real-Time 3D Reconstruction of Large-Scale Excavation Sites using an RGB-D Camera T2 - GCH 2014 - Eurographics Workshop on Graphics and Cultural Heritage Y1 - 2014 SN - 978-3-905674-63-7 U6 - https://doi.org/10.2312/gch.20141298 SP - 10 PB - The Eurographics Association ER - TY - CHAP A1 - Strickert, M. A1 - Schleif, Frank-Michael A1 - Villmann, T. A1 - Seiffert, U. T1 - Derivatives of Pearson Correlation for Gradient based Analysis of Biomedical Data T2 - Similarity based Clustering, LNCS Y1 - 2007 ER - TY - JOUR A1 - Villmann, T. A1 - Schleif, Frank-Michael A1 - Hammer, B. A1 - Kostrzewa, M. T1 - Exploration of Mass-Spectrometric Data in Clinical Proteomics Using Learning Vector Quantization Methods JF - Briefings in Bioinformatics Y1 - 2008 VL - 9 IS - 2 SP - 129 EP - 143 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Riemer, T. A1 - Cross, M. A1 - Villmann, T. T1 - Automatic Identification and Quantification of Metabolites in H-NMR Measurements T2 - In Proceedings of the Workshop on Computational Systems Biology (WCSB) 2008 Y1 - 2008 SN - 978-952-15-1988-8 SP - 165 EP - 168 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Villmann, T. A1 - Hammer, B. T1 - Pattern Recognition by Supervised Relevance Neural Gas and its Application to Spectral Data in Bioinformatics T2 - Encyclopedia of Artificial Intelligence Y1 - 2008 SN - 978-1-59904-849-9 ER - TY - JOUR A1 - Schleif, Frank-Michael A1 - Villmann, T. A1 - Hammer, B. T1 - Prototype based Fuzzy Classification in Clinical Proteomics JF - International Journal of Approximate Reasoning Y1 - 2008 VL - 47 IS - 1 SP - 4 EP - 16 ER - TY - JOUR A1 - Schleif, Frank-Michael A1 - Lindemann, M. A1 - Maass, P. A1 - Diaz, M. A1 - Decker, J. A1 - Elssner, T. A1 - Kuhn, M. A1 - Thiele, H. T1 - Support Vector Classification of Proteomic Profile Spectra based on Feature Extraction with the Bi-orthogonal Discrete Wavelet Transform JF - Computing and Visualization in Science Y1 - 2009 VL - 12 SP - 189 EP - 199 ER - TY - CHAP A1 - Simmuteit, S. A1 - Schleif, Frank-Michael A1 - Villmann, T. T1 - Hierarchical evolving trees together with global and local learning for large data sets in MALDI imaging T2 - Proceedings of WCSB 2010 Y1 - 2010 SP - 103 EP - 106 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Riemer, T. A1 - Boerner, U. A1 - Schnapka-Hille, L. A1 - Cross, M. T1 - Efficient identification and quantification of metabolites in 1-H NMR measurements by a novel data encoding approach T2 - Proceedings of WCSB 2010 Y1 - 2010 SP - 91 EP - 94 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Simmuteit, S. A1 - Villmann, T. T1 - Hierarchical deconvolution of linear mixtures of high-dimensional mass spectra in micro-biology T2 - Proceedings of AIA 2011 Y1 - 2011 U6 - https://doi.org/http://dx.doi.org/10.2316/P.2011.717-011 SP - CD EP - publication ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Hammer, B. A1 - Villmann, Th. T1 - Supervised Neural Gas for Functional Data and its Application to the Analysis of Clinical Proteom Spectra T2 - In Proceedings of the 9th International Work-Conference on Artificial Neural Networks (IWANN) 2007 Y1 - 2007 SN - 978-3-540-73006-4 SP - 1036 EP - 1044 ER - TY - CHAP A1 - Hasenfuss, A. A1 - Hammer, B. A1 - Schleif, Frank-Michael A1 - T. Villmann, T1 - Neural gas clustering for sparse proximity data T2 - In Proceedings of the 9th International Work-Conference on Artificial Neural Networks (IWANN) 2007 Y1 - 2007 SN - 978-3-540-73006-4 SP - 539 EP - 546 ER - TY - CHAP A1 - Deininger, S.-O. A1 - Gerhard, M. A1 - Schleif, Frank-Michael T1 - Statistical Classification and Visualization of MALDI-Imaging Data T2 - Proc. of CBMS 2007 Y1 - 2007 SP - 403 EP - 405 ER - TY - CHAP A1 - Schleif, Frank-Michael T1 - Prototypen basiertes maschinelles Lernen in der klinische Proteomik T2 - Ausgezeichnete Informatikdissertationen 2006 Y1 - 2007 SN - 978-3-88579-411-0 SP - 179 EP - 188 ER - TY - CHAP A1 - Villmann, T. A1 - Schleif, Frank-Michael A1 - Hammer, B. A1 - Strickert, M. A1 - Merenyi, E. T1 - Class imaging of hyperspectral satellite remote sensing data using Fuzzy labeled Self Organizing Maps T2 - Proc. of WSOM 2007 Y1 - 2007 SN - 9783000224 SP - http://biecoll.ub.uni EP - bielefeld.de//frontdoor.php?source_opus=128&la=en ER - TY - CHAP A1 - Schneider, P. A1 - Biehl, M. A1 - Schleif, Frank-Michael A1 - Hammer, B. T1 - Advanced metric adaptation in General LVQ for classification of mass spectrometry data T2 - Proc. of WSOM 2007 Y1 - 2007 SN - 9783000224 SP - http://biecoll.ub.uni EP - bielefeld.de//frontdoor.php?source_opus=125&la=en ER - TY - CHAP A1 - Strickert, M. A1 - Schleif, Frank-Michael A1 - Seiffert, U. T1 - Gradients of Pearson Correlation for Analysis of Biomedical Data T2 - Proc. of ASAI 2007 Y1 - 2007 SN - 18502784 SP - 139 EP - 150 ER - TY - CHAP A1 - Strickert, M. A1 - Schleif, Frank-Michael T1 - Supervised Attribute Relevance Determination for Protein Identification in Stress Experiments T2 - Proc. of MLSB 2007 Y1 - 2007 SP - 81 EP - 86 ER - TY - CHAP A1 - Villmann, T. A1 - Schleif, Frank-Michael A1 - Werff, M. v.d. A1 - Deelder, A. A1 - Tollenaar, R. T1 - Associative learning in SOMs for Fuzzy-Classification T2 - Proc. of ICMLA 2007 Y1 - 2007 SN - 0-7695-3069-9 SP - 581 EP - 586 ER - TY - JOUR A1 - Schleif, Frank-Michael T1 - Maschinelles Lernen mit Prototypmethoden in der klinischen Proteomik JF - Künstliche Intelligenz (KI) Y1 - 2007 SN - 0933-1875 VL - 4/07 SP - 65 EP - 67 ER - TY - THES A1 - Schleif, Frank-Michael T1 - Momentbasierte Methoden zur Schriftzeichenerkennung Y1 - 2002 ER - TY - CHAP A1 - Villmann, Th. A1 - Schleif, Frank-Michael A1 - Hammer, B. ED - Yamakawa, Takeshi T1 - Supervised Neural Gas and Relevance Learning in Learning Vector Quantisation T2 - In Proceedings of the 4th Workshop on Self Organizing Maps (WSOM) 2003 Y1 - 2003 SP - 47 EP - 52 ER - TY - CHAP A1 - Gruhn, V. A1 - Hülder, M. A1 - Ijoui, R. A1 - Schleif, Frank-Michael ED - Linger, H. ED - Fisher, J. ED - Wojtkowski, W.G. ED - Zupancic, J. ED - Vigo, K. ED - Arnold, J. T1 - A distributed logistic support communication system T2 - In Proceedings of ISD 2003 - Constructing the Infrastructure for the Knowledge Economy - Methods and Tools, Theory and Practice Y1 - 2003 SP - 705 EP - 713 ER - TY - JOUR A1 - Dörfler, T. A1 - Simmel, A. A1 - Schleif, Frank-Michael A1 - Sommerfeld, E. T1 - Working memory load and EEG coherence JF - Brain Topography Y1 - 2003 SN - ISSN 0896-0267 VL - 15 IS - 4 SP - 269 EP - 269 ER - TY - JOUR A1 - Köhler, M. A1 - Buchta, K. A1 - F.-M., A1 - Schleif, Frank-Michael A1 - Sommerfeld, E. T1 - A mission for the EEG coherence analysis: Is the task complex or difficult? JF - Brain Topography Y1 - 2003 SN - ISSN 0896-0267 VL - 15 IS - 4 SP - 271 EP - 271 ER - TY - CHAP A1 - Villmann, T. A1 - Hammer, B. A1 - Schleif, Frank-Michael T1 - Metrik Adaptation for Optimal Feature Classification in Learning Vector Quantization Applied to Environment Detection T2 - In Proceedings of Selbstorganisation Von Adaptivem Verfahren (SOAVE’2004) Y1 - 2004 SN - 3-18-374310-8 SP - 592 EP - 597 ER - TY - CHAP A1 - Villmann, Th. A1 - Hammer, B. A1 - Schleif, Frank-Michael A1 - Geweniger, T. ED - Cottrell, Marie T1 - Fuzzy Labeled Neural GAS for Fuzzy Classification T2 - Proceedings of the 5th Workshop on Self-Organizing Maps (WSOM) 2005 Y1 - 2005 SP - 283 EP - 290 ER - TY - CHAP A1 - Hammer, B. A1 - Hasenfuss, A. A1 - Schleif, Frank-Michael A1 - Villmann, T. T1 - Supervised median clustering T2 - Proc. of ANNIE 2006 Y1 - 2006 SN - 0-7918-0256-6 SP - 623 EP - 632 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Elssner, T. A1 - Kostrzewa, M. A1 - Villmann, T. A1 - Hammer, B. T1 - Machine Learning and Soft-Computing in Bioinformatics - A Short Journey T2 - Proc. of FLINS 2006 Y1 - 2006 SN - 981-256-690-2 SP - 541 EP - 548 ER - TY - JOUR A1 - Schleif, Frank-Michael A1 - Hammer, B. A1 - Villmann, Th. T1 - Margin based Active Learning for LVQ Networks JF - Neurocomputing Y1 - 2007 VL - 70 IS - 7-9 SP - 1215 EP - 1224 ER - TY - CHAP A1 - Schleif, Frank-Michael T1 - Sparse Kernel Vector Quantization with Local Dependencies T2 - Proceedings of IJCNN 2011 Y1 - 2011 SN - 978-1-4244-9635-8 SP - 1538 EP - 1545 ER - TY - JOUR A1 - Strickert, M. A1 - Bunte, Kerstin A1 - Schleif, Frank-Michael A1 - Huellermeier, E. T1 - Correlation-based Neighbor Embedding JF - NeuroComputing Y1 - 2014 VL - 141 SP - 97 EP - 109 ER - TY - CHAP A1 - Biehl, M. A1 - Hammer, B. A1 - Schleif, Frank-Michael A1 - Schneider, P. A1 - Villmann, T. T1 - Stationarity of Matrix Relevance LVQ T2 - Proceedings of IJCNN 2015 Y1 - 2015 SP - 1 EP - 8 ER - TY - RPRT A1 - Hammer, B. A1 - Schleif, Frank-Michael A1 - Villmann, Th. T1 - On the Generalization Ability of Prototype-Based Classifiers with Local Relevance Determination Y1 - 2005 IS - Technical Reports University of Clausthal IfI-05-14 ER - TY - RPRT A1 - Hammer, B. A1 - Hasenfuss, A. A1 - Schleif, Frank-Michael A1 - Villmann, Th. T1 - Supervised Median Clustering Y1 - 2006 IS - Technical Reports University of Clausthal IfI-09-06 ER - TY - RPRT A1 - Schleif, Frank-Michael A1 - Hasenfuss, A. A1 - Hammer, B. T1 - Aggregation of multiple peak lists by use of an improved neural gas network Y1 - 2007 IS - MLR-02-2007, Machine Learning Reports, ISSN:1865-3960 http://www.uni-leipzig.de/$\tilde{ }$compint/mlr/mlr_02_2007.pdf ER - TY - RPRT A1 - Schleif, Frank-Michael T1 - Preprocessing of Nuclear Magnetic Resonance Spectrometry Data Y1 - 2007 IS - MLR-01-2007, Machine Learning Reports, ISSN:1865-3960 http://www.uni-leipzig.de/$\tilde{ }$compint/mlr/mlr_01_2007.pdf ER - TY - RPRT A1 - Bunte, K. A1 - Schneider, P. A1 - Hammer, B. A1 - Schleif, Frank-Michael A1 - Villmann, T. A1 - Biehl, M. T1 - Discriminative Visualization by Limited Rank Matrix Learning Y1 - 2008 IS - MLR-03-2008, Machine Learning Reports, ISSN:1865-3960 http://www.uni-leipzig.de/$\tilde{ }$compint/mlr/mlr_03_2008.pdf ER - TY - RPRT A1 - Schleif, Frank-Michael A1 - Riemer, T. A1 - Boerner, U. A1 - Cross, M. T1 - Extended Targeted Profiling to Identify and Quantify Metabolites in 1-H NMR measurements T2 - Proc. of ICOLE 2009, IfI-05-14 Y1 - 2009 SP - to appear EP - to appear ER - TY - RPRT A1 - Simmuteit, S. A1 - Simmuteit, J. A1 - Schleif, Frank-Michael A1 - Villmann, T. T1 - Deconvolution and Identification of Mass Spectra from mixed and pure colonies of bacteria T2 - Proc. of ICOLE 2009, IfI-05-14 Y1 - 2009 SP - to appear EP - to appear ER - TY - RPRT A1 - Biehl, M. A1 - Hammer, B. A1 - Schleif, Frank-Michael A1 - Schneider, P. A1 - Villmann, T. T1 - Stationarity of Matrix Relevance Learning Vector Quantization Y1 - 2009 IS - MLR-01-2009, Machine Learning Reports, ISSN:1865-3960 http://www.uni-leipzig.de/$\tilde{ }$compint/mlr/mlr_01_2009.pdf ER - TY - RPRT A1 - Schleif, Frank-Michael A1 - Gisbrecht, A. T1 - Data analysis of (non-)metric (dis-)similarities at linear costs Y1 - 2012 IS - MLR-04-2012, Machine Learning Reports, ISSN:1865-3960 http://www.uni-leipzig.de/$\tilde{ }$compint/mlr/mlr_04_2012.pdf ER - TY - RPRT A1 - Schleif, Frank-Michael T1 - Large scale Nystroem approximation for non-metric similarity and dissimilarity data Y1 - 2013 IS - MLR-03-2013, Machine Learning Reports, ISSN:1865-3960 http://www.uni-leipzig.de/$\tilde{ }$compint/mlr/mlr_03_2013.pdf ER - TY - RPRT A1 - Schleif, Frank-Michael A1 - Villmann, T. T1 - Analysis of temporal Kinect motion capturing data Y1 - 2013 IS - MLR-05-2013, Machine Learning Reports, ISSN:1865-3960 http://www.uni-leipzig.de/$\tilde{ }$compint/mlr/mlr_05_2013.pdf ER - TY - RPRT A1 - Schleif, Frank-Michael T1 - Large scale Nyström approximation for non-metric similarity and dissimilarity data Y1 - 2013 IS - MLR-03-2013, Machine Learning Reports, ISSN:1865-3960 http://www.uni-leipzig.de/$\tilde{ }$compint/mlr/mlr_03_2013.pdf ER - TY - JOUR A1 - Gisbrecht, Andrej A1 - Schleif, Frank-Michael T1 - Metric and non-metric proximity transformations at linear costs JF - CoRR Y1 - 2014 VL - abs/1411.1646 ER - TY - JOUR A1 - Schleif, Frank-Michael T1 - OCR mit statistischen Momenten JF - Gaotenblatt Y1 - 2002 SN - 1619-0114 SP - 15 EP - 17 ER - TY - JOUR A1 - Schleif, Frank-Michael A1 - Stamer, H. T1 - LaTeX im studentischen Alltag JF - Gaotenblatt Y1 - 2002 SN - 1619-0114 SP - 3 EP - 10 ER - TY - CHAP A1 - Simmel, A. A1 - Dörfler, T. A1 - Schleif, Frank-Michael A1 - Sommerfeld, E. T1 - An analysis of connections between internal and external learning process indicators using EEG coherence analysis T2 - In Proceedings of the 17th Meeting of the International Society for Psychophysics Y1 - 2001 SP - 602 EP - 607 ER - TY - CHAP A1 - Dörfler, T. A1 - Simmel, A. A1 - Schleif, Frank-Michael A1 - Sommerfeld, E. T1 - Complexity - dependent synchronization of brain subsystems during memorization T2 - In Proceedings of the 17th Meeting of the International Society for Psychophysics Y1 - 2001 SP - 343 EP - 348 ER - TY - CHAP A1 - Köhler, M. A1 - Buchta, K. A1 - F.-M., A1 - Schleif, Frank-Michael A1 - Sommerfeld, E. T1 - Complexity and difficulty in memory based comparison T2 - In Proceedings of the 18th Meeting of the International Society for Psychophysics Y1 - 2002 SP - 433 EP - 439 ER - TY - JOUR A1 - Schleif, Frank-Michael T1 - Plugins mit wxWidgets JF - Offene Systeme Y1 - 2005 SN - 1619-0114 VL - 01/05 SP - 5 EP - 10 ER - TY - CHAP A1 - Simmuteit, Stephan A1 - Schleif, Frank-Michael A1 - Villmann, Thomas A1 - Elssner, Thomas ED - Arif Wani, M. ED - Kantardzic, Mehmed M. ED - Palade, Vasile ED - Kurgan, Lukasz A. ED - (Alan) Qi, Yuan T1 - Tanimoto Metric in Tree-SOM for Improved Representation of Mass Spectrometry Data with an Underlying Taxonomic Structure T2 - International Conference on Machine Learning and Applications, ICMLA 2009, Miami Beach, Florida, USA, December 13-15, 2009 Y1 - 2009 U6 - https://doi.org/10.1109/ICMLA.2009.111 SP - 563 EP - 567 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Villmann, Thomas A1 - Hammer, Barbara ED - Bloch, Isabelle ED - Petrosino, Alfredo ED - Tettamanzi, Andrea T1 - Local Metric Adaptation for Soft Nearest Prototype Classification to Classify Proteomic Data T2 - Fuzzy Logic and Applications, 6th International Workshop, WILF 2005, Crema, Italy, September 15-17, 2005, Revised Selected Papers Y1 - 2005 U6 - https://doi.org/10.1007/11676935_36 VL - 3849 SP - 290 EP - 296 ER - TY - CHAP A1 - Geweniger, Tina A1 - Schleif, Frank-Michael A1 - Villmann, Thomas ED - Villmann, Thomas ED - Schleif, Frank-Michael ED - Kaden, Marika ED - Lange, Mandy T1 - Probabilistic Prototype Classification Using t-norms T2 - Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 10th International Workshop, WSOM 2014, Mittweida, Germany, July, 2-4, 2014 Y1 - 2014 U6 - https://doi.org/10.1007/978-3-319-07695-9_9 SP - 99 EP - 108 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Elssner, Thomas A1 - Kostrzewa, Markus A1 - Villmann, Thomas A1 - Hammer, Barbara T1 - Analysis and Visualization of Proteomic Data by Fuzzy Labeled Self-Organizing Maps T2 - 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 22-23 June 2006, Salt Lake City, Utah, USA Y1 - 2006 U6 - https://doi.org/10.1109/CBMS.2006.44 SP - 919 EP - 924 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Villmann, Thomas A1 - Zhu, Xibin ED - Zhou, Zhi-Hua ED - Wang, Wei ED - Kumar, Ravi ED - Toivonen, Hannu ED - Pei, Jian ED - Zhexue Huang, Joshua ED - Wu, Xindong T1 - High Dimensional Matrix Relevance Learning T2 - 2014 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2014, Shenzhen, China, December 14, 2014 Y1 - 2014 U6 - https://doi.org/10.1109/ICDMW.2014.15 SP - 661 EP - 667 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Tiño, Peter A1 - Villmann, Thomas T1 - Recent trends in learning of structured and non-standard data T2 - 22th European Symposium on Artificial Neural Networks, ESANN 2014, Bruges, Belgium, April 23-25, 2014 Y1 - 2014 ER - TY - CHAP A1 - Villmann, Thomas A1 - Schleif, Frank-Michael A1 - van der Werff, Martijn A1 - Deelder, André M. A1 - Tollenaar, Rob A. E. M. ED - Arif Wani, M. ED - Kantardzic, Mehmed M. ED - Li, Tao ED - Liu, Ying ED - Kurgan, Lukasz A. ED - Ye, Jieping ED - Ogihara, Mitsunori ED - Sagiroglu, Seref ED - Chen, Xue-wen ED - Peterson, Leif E. ED - Hafeez, Khalid T1 - Association Learning in SOMs for Fuzzy-Classification T2 - The Sixth International Conference on Machine Learning and Applications, ICMLA 2007, Cincinnati, Ohio, USA, 13-15 December 2007 Y1 - 2007 U6 - https://doi.org/10.1109/ICMLA.2007.29 SP - 581 EP - 586 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Villmann, Thomas A1 - Hammer, Barbara ED - Sandoval Hernández, Francisco ED - Prieto, Alberto ED - Cabestany, Joan ED - Graña, Manuel T1 - Supervised Neural Gas for Classification of Functional Data and Its Application to the Analysis of Clinical Proteom Spectra T2 - Computational and Ambient Intelligence, 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007, Proceedings Y1 - 2007 U6 - https://doi.org/10.1007/978-3-540-73007-1_125 SP - 1036 EP - 1044 ER - TY - CHAP A1 - Hasenfuss, Alexander A1 - Hammer, Barbara A1 - Schleif, Frank-Michael A1 - Villmann, Thomas ED - Sandoval Hernández, Francisco ED - Prieto, Alberto ED - Cabestany, Joan ED - Graña, Manuel T1 - Neural Gas Clustering for Dissimilarity Data with Continuous Prototypes T2 - Computational and Ambient Intelligence, 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007, Proceedings Y1 - 2007 U6 - https://doi.org/10.1007/978-3-540-73007-1_66 SP - 539 EP - 546 ER - TY - CHAP A1 - Villmann, Thomas A1 - Schleif, Frank-Michael A1 - Merényi, Erzsébet A1 - Hammer, Barbara ED - Sandoval Hernández, Francisco ED - Prieto, Alberto ED - Cabestany, Joan ED - Graña, Manuel T1 - Fuzzy Labeled Self-Organizing Map for Classification of Spectra T2 - Computational and Ambient Intelligence, 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007, Proceedings Y1 - 2007 U6 - https://doi.org/10.1007/978-3-540-73007-1_68 SP - 556 EP - 563 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Clauss, U. A1 - Villmann, Thomas A1 - Hammer, Barbara ED - Kantardzic, Mehmed M. ED - Milanova, Mariofanna G. ED - Nasraoui, Olfa T1 - Supervised relevance neural gas and unified maximum separability analysis for classification of mass spectrometric data T2 - Proceedings of the 2004 International Conference on Machine Learning and Applications - ICMLA 2004, 16-18 December 2004, Louisville, KY, USA Y1 - 2004 U6 - https://doi.org/10.1109/ICMLA.2004.1383538 SP - 374 EP - 379 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Villmann, Thomas A1 - Hammer, Barbara ED - Masulli, Francesco ED - Mitra, Sushmita ED - Pasi, Gabriella T1 - Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing Maps T2 - Applications of Fuzzy Sets Theory, 7th International Workshop on Fuzzy Logic and Applications, WILF 2007, Camogli, Italy, July 7-10, 2007, Proceedings Y1 - 2007 U6 - https://doi.org/10.1007/978-3-540-73400-0_72 SP - 563 EP - 570 ER - TY - CHAP A1 - Hammer, Barbara A1 - Hasenfuss, Alexander A1 - Schleif, Frank-Michael A1 - Villmann, Thomas A1 - Strickert, Marc A1 - Seiffert, Udo T1 - Intuitive Clustering of Biological Data T2 - Proceedings of the International Joint Conference on Neural Networks, IJCNN 2007, Celebrating 20 years of neural networks, Orlando, Florida, USA, August 12-17, 2007 Y1 - 2007 U6 - https://doi.org/10.1109/IJCNN.2007.4371244 SP - 1877 EP - 1882 ER - TY - CHAP A1 - Villmann, Thomas A1 - Strickert, Marc A1 - Brüß, Cornelia A1 - Schleif, Frank-Michael A1 - Seiffert, Udo T1 - Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS T2 - 15th European Symposium on Artificial Neural Networks, ESANN 2007, Bruges, Belgium, April 25-27, 2007, Proceedings Y1 - 2007 SP - 103 EP - 108 ER - TY - JOUR A1 - Villmann, Thomas A1 - Schleif, Frank-Michael A1 - Hammer, Barbara T1 - Prototype-based fuzzy classification with local relevance for proteomics JF - Neurocomputing Y1 - 2006 U6 - https://doi.org/10.1016/j.neucom.2006.02.003 VL - 69 IS - 16-18 SP - 2425 EP - 2428 ER - TY - JOUR A1 - Strickert, Marc A1 - Schleif, Frank-Michael A1 - Villmann, Thomas A1 - Seiffert, Udo ED - Biehl, Michael ED - Hammer, Barbara ED - Verleysen, Michel ED - Villmann, Thomas T1 - Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data JF - Similarity-Based Clustering, Recent Developments and Biomedical Applications [outcome of a Dagstuhl Seminar] Y1 - 2009 U6 - https://doi.org/10.1007/978-3-642-01805-3_5 SP - 70 EP - 91 ER - TY - CHAP A1 - Simmuteit, Stephan A1 - Schleif, Frank-Michael A1 - Villmann, Thomas A1 - Kostrzewa, Markus ED - Carlos Prı́ncipe, José ED - Miikkulainen, Risto T1 - Hierarchical PCA Using Tree-SOM for the Identification of Bacteria T2 - Advances in Self-Organizing Maps, 7th International Workshop, WSOM 2009, St. Augustine, FL, USA, June 8-10, 2009. Proceedings Y1 - 2009 U6 - https://doi.org/10.1007/978-3-642-02397-2_31 SP - 272 EP - 280 ER - TY - CHAP A1 - Villmann, Thomas A1 - Schleif, Frank-Michael T1 - Functional vector quantization by neural maps T2 - First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2009, Grenoble, France, August 26-28, 2009 Y1 - 2009 U6 - https://doi.org/10.1109/WHISPERS.2009.5289064 SP - 1 EP - 4 ER - TY - JOUR A1 - Schleif, Frank-Michael A1 - Villmann, Thomas A1 - Ongyerth, Matthias T1 - Supervised data analysis and reliability estimation with exemplary application for spectral data JF - Neurocomputing Y1 - 2009 U6 - https://doi.org/10.1016/j.neucom.2008.12.040 VL - 72 IS - 16-18 SP - 3590 EP - 3601 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Villmann, Thomas T1 - Neural Maps and Learning Vector Quantization - Theory and Applications T2 - 17th European Symposium on Artificial Neural Networks, ESANN 2009, Bruges, Belgium, April 22-24, 2009, Proceedings Y1 - 2009 ER - TY - CHAP A1 - Köping, Lukas A1 - Mühsam, Thomas A1 - Ofenberg, Christian A1 - Czech, Bernhard A1 - Bernard, Michael A1 - Schmer, Jens A1 - Deinzer, Frank T1 - Indoor Naviagtion Using Step and Turn Detection Together With Floor Map Information T2 - Proceedings of the 1st International Workshop on Uncertainty in Ambient Intelligence Y1 - 2013 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 - Random Projection in the Presence of Concept Drift in Supervised Environments T2 - Artificial Intelligence and Soft Computing - 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part I Y1 - 2020 U6 - https://doi.org/10.1007/978-3-030-61401-0_48 SP - 514 EP - 524 ER - TY - CHAP A1 - Oneto, Luca A1 - Bunte, Kerstin A1 - Schleif, Frank-Michael T1 - Advances in artificial neural networks, machine learning and computational intelligence: Selected papers from the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018) T2 - Neurocomputing Y1 - 2019 U6 - https://doi.org/https://doi.org/10.1016/j.neucom.2019.01.081 VL - 342 SP - 1 EP - 5 ER - TY - CHAP A1 - Münch, Maximilian A1 - Raab, Christoph A1 - Schleif, Frank-Michael ED - De Marsico, Maria ED - Sanniti di Baja, Gabriella ED - Fred, Ana L. N. T1 - Encoding of Indefinite Proximity Data: A Structure Preserving Perspective T2 - Pattern Recognition Applications and Methods - 9th International Conference, ICPRAM 2020, Valletta, Malta, February 22-24, 2020, Revised Selected Papers Y1 - 2020 U6 - https://doi.org/10.1007/978-3-030-66125-0_7 SP - 112 EP - 137 ER - TY - CHAP A1 - Raab, Christoph A1 - Schleif, Frank-Michael ED - Schmid, Ute ED - Klügl, Franziska ED - Wolter, Diedrich T1 - Low-Rank Subspace Override for Unsupervised Domain Adaptation T2 - KI 2020: Advances in Artificial Intelligence - 43rd German Conference on AI, Bamberg, Germany, September 21-25, 2020, Proceedings Y1 - 2020 U6 - https://doi.org/10.1007/978-3-030-58285-2_10 SP - 132 EP - 147 ER - TY - CHAP A1 - Heusinger, Moritz A1 - Schleif, Frank-Michael T1 - Reactive Concept Drift Detection Using Coresets Over Sliding Windows T2 - 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, Canberra, Australia, December 1-4, 2020 Y1 - 2020 U6 - https://doi.org/10.1109/SSCI47803.2020.9308521 SP - 1350 EP - 1355 ER - TY - CHAP A1 - Heusinger, Moritz A1 - Raab, Christoph A1 - Schleif, Frank-Michael ED - Vellido, Alfredo ED - Gibert, Karina ED - Angulo, Cecilio ED - David Martı́n-Guerrero, José T1 - Passive Concept Drift Handling via Momentum Based Robust Soft Learning Vector Quantization T2 - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization - Proceedings of the 13th International Workshop, WSOM+ 2019, Barcelona, Spain, June 26-28, 2019 Y1 - 2019 U6 - https://doi.org/10.1007/978-3-030-19642-4_20 SP - 200 EP - 209 ER - TY - CHAP A1 - Münch, Maximilian A1 - Schleif, Frank-Michael ED - Rojas, Ignacio ED - Joya, Gonzalo ED - Català, Andreu T1 - Device-Free Passive Human Counting with Bluetooth Low Energy Beacons T2 - Advances in Computational Intelligence - 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part II Y1 - 2019 U6 - https://doi.org/10.1007/978-3-030-20518-8_66 SP - 799 EP - 810 ER - TY - CHAP A1 - Münch, Maximilian A1 - Huffstadt, Karsten A1 - Schleif, Frank-Michael T1 - Towards a device-free passive presence detection system with Bluetooth Low Energy beacons T2 - 27th European Symposium on Artificial Neural Networks, ESANN 2019, Bruges, Belgium, April 24-26, 2019 Y1 - 2019 ER - TY - JOUR A1 - Mohammadi, Mohammad A1 - Petkov, Nicolai A1 - Bunte, Kerstin A1 - Peletier, Reynier F. A1 - Schleif, Frank-Michael T1 - Globular cluster detection in the GAIA survey JF - Neurocomputing Y1 - 2019 U6 - https://doi.org/10.1016/j.neucom.2018.10.081 VL - 342 SP - 164 EP - 171 ER - TY - CHAP A1 - Bifet, Albert A1 - Hammer, Barbara A1 - Schleif, Frank-Michael T1 - Recent trends in streaming data analysis, concept drift and analysis of dynamic data sets T2 - 27th European Symposium on Artificial Neural Networks, ESANN 2019, Bruges, Belgium, April 24-26, 2019 Y1 - 2019 ER - TY - CHAP A1 - Raab, Christoph A1 - Heusinger, Moritz A1 - Schleif, Frank-Michael T1 - Reactive Soft Prototype Computing for frequent reoccurring Concept Drift T2 - 27th European Symposium on Artificial Neural Networks, ESANN 2019, Bruges, Belgium, April 24-26, 2019 Y1 - 2019 ER - TY - CHAP A1 - Schleif, Frank-Michael A1 - Raab, Christoph A1 - Tiño, Peter ED - Bai, Xiao ED - Hancock, Edwin R. ED - Kam Ho, Tin ED - Wilson, Richard C. ED - Biggio, Battista ED - Robles-Kelly, Antonio T1 - Sparsification of Indefinite Learning Models T2 - Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018, Proceedings Y1 - 2018 U6 - https://doi.org/10.1007/978-3-319-97785-0_17 SP - 173 EP - 183 ER - TY - CHAP A1 - Raab, Christoph A1 - Schleif, Frank-Michael ED - Gammerman, Alex J. ED - Vovk, Vladimir ED - Luo, Zhiyuan ED - Smirnov, Evgueni N. ED - Peeters, Ralf L. M. T1 - Transfer learning for the probabilistic classification vector machine T2 - 7th Symposium on Conformal and Probabilistic Prediction and Applications, COPA 2018, 11-13 June 2018, Maastricht, The Netherlands Y1 - 2018 VL - 91 SP - 187 EP - 200 ER - TY - CHAP A1 - Raab, Christoph A1 - Schleif, Frank-Michael ED - Trollmann, Frank ED - Turhan, Anni-Yasmin T1 - Sparse Transfer Classification for Text Documents T2 - KI 2018: Advances in Artificial Intelligence - 41st German Conference on AI, Berlin, Germany, September 24-28, 2018, Proceedings Y1 - 2018 U6 - https://doi.org/10.1007/978-3-030-00111-7_15 SP - 169 EP - 181 ER -