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398 Publications

2018 | Journal Article | PUB-ID: 2914505
Expectation maximization transfer learning and its application for bionic hand prostheses
Paaßen B, Schulz A, Hahne J, Hammer B (Accepted)
Neurocomputing.
PUB
 
2017 | Conference Paper | PUB-ID: 2909369
An EM transfer learning algorithm with applications in bionic hand prostheses
Paaßen B, Schulz A, Hahne J, Hammer B (2017)
In: Proceedings of the 25th European Symposium on Artificial Neural Networks (ESANN 2017). Verleysen M (Ed); Bruges: i6doc.com: 129-134.
PUB | PDF
 
2017 | Journal Article | PUB-ID: 2913389
The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces
Paaßen B, Hammer B, Price T, Barnes T, Gross S, Pinkwart N (Submitted)
Journal of Educational Datamining.
PUB | arXiv
 
2017 | Conference Paper | PUB-ID: 2914141
Unsupervised Transfer Learning for Time Series via Self-Predictive Modelling - First Results
Aswolinskiy W, Hammer B (2017)
In: Proceedings of the Workshop on New Challenges in Neural Computation (NC2).
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2017 | Conference Paper | PUB-ID: 2908201
Feature Relevance Bounds for Linear Classification
Göpfert C, Pfannschmidt L, Hammer B (2017)
In: Proceedings of the ESANN. 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning.
PUB | Files available
 
2017 | Journal Article | PUB-ID: 2911900
Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces
Paaßen B, Göpfert C, Hammer B (2017)
Neural Processing Letters: 1-21.
PUB | DOI | arXiv
 
2017 | Conference Paper | PUB-ID: 2909037
Echo State Networks as Novel Approach for Low-Cost Myoelectric Control
Prahm C, Schulz A, Paaßen B, Aszmann O, Hammer B, Dorffner G (2017)
In: Proceedings of the 16th Conference on Artificial Intelligence in Medicine (AIME 2017). ten Telje A, Popow C, Holmes JH, Sacchi L (Eds); Lecture Notes in Computer Science, 10259. Springer: 338--342.
PUB | Files available | DOI
 
2017 | Journal Article | PUB-ID: 2909372
Efficient Kernelization of Discriminative Dimensionality Reduction
Schulz A, Brinkrolf J, Hammer B (2017)
Neurocomputing accepted.
PUB | PDF | DOI
 
2017 | Conference Paper | PUB-ID: 2909371
Prototype based models for the supervised learning of classificaton schemes
Biehl M, Hammer B, Villmann T (2017)
In: Proc. of the IAU Symposium 325 on Astroinformatics, Sorrento/Italy, October 2016. in press.
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2017 | Conference Paper | PUB-ID: 2909370
Label-Noise-Tolerant Classification for Streaming Data
Frenay B, Hammer B (2017)
In: IEEE International Joint Conference on Neural Neworks.
PUB
 
2017 | Journal Article | PUB-ID: 2905302
What is a True Gamer? The Male Gamer Stereotype and the Marginalization of Women in Video Game Culture
Paaßen B, Morgenroth T, Stratemeyer M (2017)
Sex Roles 76(7): 421-435.
PUB | PDF | DOI
 
2016 | Journal Article | PUB-ID: 2783224
Adaptive structure metrics for automated feedback provision in intelligent tutoring systems
Paaßen B, Mokbel B, Hammer B (2016)
Neurocomputing 192(SI): 3-13.
PUB | PDF | DOI | WoS
 
2016 | Conference Paper | PUB-ID: 2900676
Gaussian process prediction for time series of structured data
Paaßen B, Göpfert C, Hammer B (2016)
In: Proceedings of the ESANN, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Bruges: 41-46.
PUB | PDF
 
2016 | Conference Paper | PUB-ID: 2905855
Linear Supervised Transfer Learning for Generalized Matrix LVQ
Paaßen B, Schulz A, Hammer B (2016)
In: Proceedings of the Workshop New Challenges in Neural Computation 2016. Hammer B, Martinetz T, Villmann T (Eds); Machine Learning Reports(4). 11-18.
PUB
 
2016 | Conference Paper | PUB-ID: 2907624
Choosing the Best Algorithm for an Incremental On-line Learning Task
Losing V, Hammer B, Wersing H (2016)
Presented at the European Symposium on Artificial Neural Networks, Brügge.
PUB | PDF
 
2016 | Conference Paper | PUB-ID: 2907622
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift
Losing V, Hammer B, Wersing H (2016)
In: 2016 IEEE 16th International Conference on Data Mining (ICDM). IEEE: 291-300.
PUB | PDF | DOI
 
2016 | Conference Paper | PUB-ID: 2909367
Local Reject Option for Deterministic Multi-class SVM
Kummert J, Paaßen B, Jensen J, Göpfert C, Hammer B (2016)
In: Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II. 251--258.
PUB | DOI
 
2016 | Conference Paper | PUB-ID: 2909366
Self-Adjusting Reject Options in Prototype Based Classification
Villmann T, Kaden M, Bohnsack A, Villmann JM, Drogies T, Saralajew S, Hammer B (2016)
In: Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016. Merényi E, Mendenhall MJ, O'Driscoll P (Eds); Advances in Intelligent Systems and Computing, 428. Springer International Publishing: 269-279.
PUB | DOI
 
2016 | Journal Article | PUB-ID: 2910957
Prototype-based models in machine learning
Biehl M, Hammer B, Villmann T (2016)
Wiley Interdisciplinary Reviews: Cognitive Science 7(2): 92-111.
PUB | DOI
 
2016 | Conference Paper | PUB-ID: 2909368
Incremental learning algorithms and applications
Geppert er, Hammer B (2016)
In: ESANN.
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