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Inhalt des Dokuments

Anwendungen

Publikationen

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2022

Seidel, R., Jahn, N., Seo, S., Goerttler, T. and Obermayer, K. (2022). NAPC: A Neural Algorithm for Automated Passenger Counting in Public Transport on a Privacy-Friendly Dataset [8]. IEEE Open Journal of Intelligent Transportation Systems, 3, 33-44.


2019

Trowitzsch I., Schymura C., Kolossa D. and K., O. (2019). Joining Sound Event Detection and Localization Through Spatial Segregation [9]. IEEE Trans. Audio Speech Language Proc.


2017

Trowitzsch, I., Mohr, J., Kashef, Y. and Obermayer, K. (2017). Robust Detection of Environmental Sounds in Binaural Auditory Scenes [10]. IEEE Transactions on Audio Speech and Language Processing, 25, 1344-1356.


2016

Trowitzsch, I., Taghia, J., Kashef, Y. and Obermayer, K. (2016). NIGENS Anechoic Ear Signals [11]. Zenodo.,10.5281/zenodo.168042


2014

Mohr, J., Park, J.-H. and Obermayer, K. (2014). A computer vision system for rapid search inspired by surface-based attention mechanisms from human perception [12]. Neural Networks, 60, 182 - 193.


2013

Schmidt, S., Scholz, M., Obermayer, K. and Brandt, S. A. (2013). Patterned Brain Stimulation, What a Framework with Rhythmic and Noisy Components Might Tell Us about Recovery Maximization [13]. Frontiers in human neuroscience, 7


2012

Adiloglu, K., Annies, R., Wahlen, E., Purwins, H. and Obermayer, K. (2012). A Graphical Representation and Dissimilarity Measure for Basic Everyday Sound Events [14]. IEEE Transactions on Audio, Speech, and Language Processing, 1542 - 1552.


2011

Neubauer, N. and Obermayer, K. (2011). Tripartite community structure in social bookmarking data [15]. New Review of Hypermedia and Multimedia, 17, 267-294.


2010

Mohr, J., Jain, B., Sutter, A., Laak, A., Steger-Hartmann, T., Heinrich, H. and Obermayer, K. (2010). A Maximum Common Subgraph Kernel Method for Predicting the Chromosome Aberration Test [16]. Journal of Chemical Information and Modelling, 50, 1821–1838.


Natora, M., Franke, F., Broda, S. and Obermayer, K. (2010). Optimal Steering Vector Adaptation for Linear Filters Leading to Robust Beamforming [17]. Proceedings of International Symposium on Communications, Control and Signal Processing. IEEE, 1 – 6.,10.1109/ISCCSP.2010.5463496


Neubauer, N. and Obermayer, K. (2010). Community Detection in Tagging-Induced Hypergraphs [18]. Workshop on Information in Networks, 24.- 25. September 2010, New York University, NY, USA, 1-5.,


Pannicke, D., Hahne, M., Neubauer, N., Ochab, B., Lieb, R., Meister, M., Obermayer, K., Rammert, W. and Zarnekow, R. (2010). Akzeptanzfähigkeit von Tagging-Systemen in benutzergenerierten virtuellen Welten [19]. Multikonferenz Wirtschaftsinformatik 2010. Universitätsverlag Göttingen, 1191 – 1201.,


2009

Neubauer, N. and Obermayer, K. (2009). Hyperincident Connected Components in Tagging Networks [20]. ACM SIGIWEB Newsletter, 229 – 238.


Jain, B. and Obermayer, K. (2009). Bimal: Bipartite Matching Alignment for the Contact Map Overlap Problem [21]. 2009 International Joint Conference on Neural Networks. IEEE, 1394 – 1400.,10.1109/IJCNN.2009.5178901


Jain, B., Stehr, H., Lappe, M. and Obermayer, K. (2009). Multiple Alignment of Contact Maps [22]. 2009 International Joint Conference on Neural Networks. IEEE, 1401 – 1406.,10.1109/IJCNN.2009.5178907


Murfi, H. and Obermayer, K. (2009). A Two-Level Learning Hierarchy of Concept Based Keyword Extraction for Tag Recommendations [23]. Proceedings ECML PKDD Discovery Challenge, 201 – 214.,


Natora, M., Franke, F. and Obermayer, K. (2009). Optimal Convolutive Filters for Real-Time Detection and Arrival Time Estimation of Transient Signals [24]. Proceedings of World Academy of Science, Engineering and Technology. WASET, 235 – 240.,


Neubauer, N., Wetzker, R. and Obermayer, K. (2009). Tag Spam Creates Large Non-Giant Connected Components [25]. AIRWeb '09 Proceedings of the 5th International Workshop on Adversarial Information Retrieval on the Web. Association for Computing Machinery, 49 – 52.,10.1145/1531914.1531925


2008

Mohr, J., Jain, B. and Obermayer, K. (2008). Molecule Kernels: A Descriptor- and Alignment-Free QSAR Approach [26]. Journal of Chemical Information and Modeling, 48, 1868 – 1881.


Mohr, J., Seo, S. and Obermayer, K. (2008). Automated Microarray Classification Based on P-SVM Gene Selection [27]. Proceedings of the ICMLA '08: The Seventh International Conference on Machine Learning and Applications. IEEE, 503 – 507.,10.1109/ICMLA.2008.75


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