Nivarthi, Chandana Priya, Sick, Bernhard: Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholding. In: International Conference on Machine Learning and Applications (ICMLA) : IEEE, 2023, S. 1444--1450
Mitchell, T., Cohen, W., Hruscha, E., Talukdar, P., Betteridge, J., Carlson, A., Dalvi, B., Gardner, M., Kisiel, B., Krishnamurthy, J., Lao, N., Mazaitis, K., Mohammad, T., Nakashole, N., Platanios, E., Ritter, A., Samadi, M., Settles, B., Wang, R., Wijaya, D., Gupta, A., Chen, X., Saparov, A., Greaves, M., Welling, J.: Never-Ending Learning. In: AAAI, 2015. - : Never-Ending Learning in AAAI-2015
Mnih, Volodymyr, Kavukcuoglu, Koray, Silver, David, Rusu, Andrei A., Veness, Joel, Bellemare, Marc G., Graves, Alex, Riedmiller, Martin, Fidjeland, Andreas K., Ostrovski, Georg, Petersen, Stig, Beattie, Charles, Sadik, Amir, Antonoglou, Ioannis, King, Helen, Kumaran, Dharshan, Wierstra, Daan, Legg, Shane, Hassabis, Demis, Human-level control through deep reinforcement learning, in: Nature 518 7540 (2015), S. 529--533.
Ring, Markus, Otto, Florian, Becker, Martin, Niebler, Thomas, Landes, Dieter, Hotho, Andreas ; ECMLPKDD2015: ConDist: A Context-Driven Categorical Distance Measure. In: , 2015
Krompass, Denis, Nickel, Maximilian, Tresp, Volker: Large-scale factorization of type-constrained multi-relational data. In: International Conference on Data Science and Advanced Analytics, {DSAA} 2014, Shanghai, China, October 30 - November 1, 2014 : {IEEE}, 2014. - ISBN 978-1-4799-6991-3, S. 18--24
Lehmann, Jens, Voelker, Johanna, An Introduction to Ontology Learning, in: Lehmann, Jens, Voelker, Johanna (Hrsg.), Perspectives on Ontology Learning 2014, S. ix-xvi.
Balasubramanyan, Ramnath, Dalvi, Bhavana Bharat, Cohen, William W. ; Blockeel, Hendrik, Kersting, Kristian, Nijssen, Siegfried, Zelezný, Filip: From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering.. 8189. In: ECML/PKDD (2) : Springer, 2013 (Lecture Notes in Computer Science). - ISBN 978-3-642-40990-5, S. 628-642
Bitzer, Philipp, Söllner, Matthias: Towards a Productivity Measurement Model for Technology Mediated Learning Services. In: European Conference on Information Systems (ECIS). Utrecht, Netherlands (accepted for publication), 2013
Bitzer, Philipp, Weiß, Frank, Leimeister, Jan Marco: Towards a Reference Model for a Productivity-optimized Delivery of Technology Mediated . In: Eighth International Conference on Design Science Research in Information Systems and Technology (DESRIST). Helsinki, Finland (accepted for publication), 2013
Kluegl, Peter, Toepfer, Martin, Lemmerich, Florian, Hotho, Andreas, Puppe, Frank, Exploiting Structural Consistencies with Stacked Conditional Random Fields, in: Mathematical Methodologies in Pattern Recognition and Machine Learning Springer Proceedings in Mathematics & Statistics 30 (2013), S. 111-125.
Yu, Hsiang-Fu, Jain, Prateek, Kar, Purushottam, Dhillon, Inderjit S., Rezension zu: Large-scale Multi-label Learning with Missing Labels (2013).
Wegener, R., Leimeister, J. M., Virtual Learning Communities: Success Factors and Challenges, in: International Journal of Technology Enhanced Learning (IJTEL) 4 5/6 (2012), S. 383 - 397.
Coates, A., Lee, H., Ng, A.Y. ; Gordon, Geoffrey, Dunson, David, Dudík, Miroslav: An analysis of single-layer networks in unsupervised feature learning. 15. In: Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics : JMLR W\&CP, 2011 (JMLR Workshop and Conference Proceedings), S. 215--223
Coates, A., Carpenter, B., Case, C., Satheesh, S., Suresh, B., Wang, Tao, Wu, D.J., Ng, A.Y.: Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning. In: International Conference on Document Analysis and Recognition (ICDAR), 2011, S. 440--445
Carlson, A., Betteridge, J., Kisiel, B., Settles, B., Jr., E.R. Hruschka, Mitchell, T.M.: Toward an Architecture for Never-Ending Language Learning. In: Proceedings of the Conference on Artificial Intelligence (AAAI) : AAAI Press, 2010, S. 1306--1313
Mirowski, Piotr, Ranzato, Marc'Aurelio, LeCun, Yann ; of the NIPS 2010 Workshop on Deep Learning, Proceedings: Dynamic Auto-Encoders for Semantic Indexing. In: , 2010
Mitchell, Tom M. Machine learning, New York, NY [u.a. 2010.
Cimiano, Philipp, Hotho, Andreas, Staab, Steffen, Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis, in: Journal on Artificial Intelligence Research 24 (2005), S. 305-339.
Breiman, Leo, Random Forests, in: Machine Learning 45 1 (2001), S. 5-32.
Joachims, Thorsten ; Schölkopf, Bernhard, Burges, Christopher J.C., Smola, A.: {Making Large-Scale SVM Learning Practical}. In: Advances in Kernel Methods - Support Vector Learning. Cambridge, MA, USA : MIT Press, 1999