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AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
Nivarthi, C. P. & Sick, B. Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholding 2023 International Conference on Machine Learning and Applications (ICMLA)   inproceedings DOI  
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 2015 AAAI   inproceedings URL  
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. Human-level control through deep reinforcement learning 2015 Nature   article URL  
Ring, M., Otto, F., Becker, M., Niebler, T., Landes, D. & Hotho, A. ConDist: A Context-Driven Categorical Distance Measure 2015 ECMLPKDD2015 (ed.)
 
inproceedings  
Krompass, D., Nickel, M. & Tresp, V. Large-scale factorization of type-constrained multi-relational data 2014 International Conference on Data Science and Advanced Analytics, DSAA 2014, Shanghai, China, October 30 - November 1, 2014   inproceedings DOIURL  
Lehmann, J. & Voelker, J. An Introduction to Ontology Learning 2014 Perspectives on Ontology Learning Lehmann, J. & Voelker, J. (ed.)
 
incollection URL  
Kluegl, P., Toepfer, M., Lemmerich, F., Hotho, A. & Puppe, F. Exploiting Structural Consistencies with Stacked Conditional Random Fields 2013 Mathematical Methodologies in Pattern Recognition and Machine Learning Springer Proceedings in Mathematics & Statistics   article  
Yu, H.-F., Jain, P., Kar, P. & Dhillon, I. S. Large-scale Multi-label Learning with Missing Labels 2013   misc URL  
Mirowski, P., Ranzato, M. & LeCun, Y. Dynamic Auto-Encoders for Semantic Indexing 2010 of the NIPS 2010 Workshop on Deep Learning, P. (ed.)
 
inproceedings URL  
Breiman, L. Random Forests 2001 Machine Learning   article DOIURL  

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