2023

Nivarthi, C. P. & Sick, B. (2023), Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholding, in 'International Conference on Machine Learning and Applications (ICMLA)' , IEEE, , pp. 1444--1450 .
[BibTeX]  [Endnote] 

2015

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. (2015), Never-Ending Learning, in 'AAAI' .
[BibTeX]  [Endnote] 

Mnih, V.; Kavukcuoglu, K.; Silver, D.; Rusu, A. A.; Veness, J.; Bellemare, M. G.; Graves, A.; Riedmiller, M.; Fidjeland, A. K.; Ostrovski, G.; Petersen, S.; Beattie, C.; Sadik, A.; Antonoglou, I.; King, H.; Kumaran, D.; Wierstra, D.; Legg, S. & Hassabis, D. (2015), 'Human-level control through deep reinforcement learning', Nature 518 (7540) , 529--533 .
[BibTeX]  [Endnote] 

Ring, M.; Otto, F.; Becker, M.; Niebler, T.; Landes, D. & Hotho, A. (2015), ConDist: A Context-Driven Categorical Distance Measure, in ECMLPKDD2015, ed., .
[BibTeX]  [Endnote] 

2014

Krompass, D.; Nickel, M. & Tresp, V. (2014), 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, , pp. 18--24 .
[BibTeX]  [Endnote] 

Lehmann, J. & Voelker, J. (2014), An Introduction to Ontology Learning, in Jens Lehmann & Johanna Voelker, ed., 'Perspectives on Ontology Learning' , AKA / IOS Press, , pp. ix-xvi .
[BibTeX]  [Endnote] 

2013

Balasubramanyan, R.; Dalvi, B. B. & Cohen, W. W. (2013), From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering., in Hendrik Blockeel; Kristian Kersting; Siegfried Nijssen & Filip Zelezný, ed., 'ECML/PKDD (2)' , Springer, , pp. 628-642 .
[BibTeX]  [Endnote] 

Bitzer, P. & Söllner, M. (2013), Towards a Productivity Measurement Model for Technology Mediated Learning Services, in 'European Conference on Information Systems (ECIS)' .
[BibTeX]  [Endnote] 

Bitzer, P.; Weiß, F. & Leimeister, J. M. (2013), 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)' .
[BibTeX]  [Endnote] 

Kluegl, P.; Toepfer, M.; Lemmerich, F.; Hotho, A. & Puppe, F. (2013), 'Exploiting Structural Consistencies with Stacked Conditional Random Fields', Mathematical Methodologies in Pattern Recognition and Machine Learning Springer Proceedings in Mathematics & Statistics 30 , 111-125 .
[BibTeX]  [Endnote] 

Yu, H.-F.; Jain, P.; Kar, P. & Dhillon, I. S. (2013), 'Large-scale Multi-label Learning with Missing Labels' , cite arxiv:1307.5101 .
[BibTeX]  [Endnote] 

2012

Wegener, R. & Leimeister, J. M. (2012), 'Virtual Learning Communities: Success Factors and Challenges', International Journal of Technology Enhanced Learning (IJTEL) 4 (5/6) , 383 - 397 .
[BibTeX]  [Endnote] 

2011

Coates, A.; Lee, H. & Ng, A. (2011), An analysis of single-layer networks in unsupervised feature learning, in Geoffrey Gordon; David Dunson & Miroslav Dudík, ed., 'Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics' , JMLR W&CP, , pp. 215--223 .
[BibTeX]  [Endnote] 

Coates, A.; Carpenter, B.; Case, C.; Satheesh, S.; Suresh, B.; Wang, T.; Wu, D. & Ng, A. (2011), Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning, in 'International Conference on Document Analysis and Recognition (ICDAR)' , pp. 440--445 .
[BibTeX]  [Endnote] 

2010

Carlson, A.; Betteridge, J.; Kisiel, B.; Settles, B.; Jr., E. H. & Mitchell, T. (2010), Toward an Architecture for Never-Ending Language Learning, in 'Proceedings of the Conference on Artificial Intelligence (AAAI)' , AAAI Press, , pp. 1306--1313 .
[BibTeX]  [Endnote] 

Mirowski, P.; Ranzato, M. & LeCun, Y. (2010), Dynamic Auto-Encoders for Semantic Indexing, in Proceedings of the NIPS 2010 Workshop on Deep Learning, ed., .
[BibTeX]  [Endnote] 

Mitchell, T. M. (2010), Machine learning , McGraw-Hill , New York, NY [u.a. .
[BibTeX]  [Endnote] 

2005

Cimiano, P.; Hotho, A. & Staab, S. (2005), 'Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis', Journal on Artificial Intelligence Research 24 , 305-339 .
[BibTeX]  [Endnote] 

2001

Breiman, L. (2001), 'Random Forests', Machine Learning 45 (1) , 5-32 .
[BibTeX]  [Endnote] 

1999

Joachims, T. (1999), Making Large-Scale SVM Learning Practical, in Bernhard Schölkopf; Christopher J.C. Burges & A. Smola, ed., 'Advances in Kernel Methods - Support Vector Learning' , MIT Press, Cambridge, MA, USA .
[BibTeX]  [Endnote]