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421 Publications

2018 | Journal Article | PUB-ID: 2919119
Bootstrapping of parameterized skills through hybrid optimization in task and policy spaces
Queißer J, Steil JJ (2018)
Frontiers in Robotics and AI 5: 49.
PUB | PDF | DOI
 
2018 | Preprint | PUB-ID: 2919918 PUB | arXiv
 
2018 | Conference Paper | PUB-ID: 2919844
Tree Edit Distance Learning via Adaptive Symbol Embeddings
Paaßen B, Gallicchio C, Micheli A, Hammer B (Accepted)
In: Proceedings of the 35th International Conference on Machine Learning (ICML 2018). Dy J, Krause A (Eds); Proceedings of Machine Learning Research, 80. .
PUB | arXiv
 
2018 | Journal Article | PUB-ID: 2918244
Interpretable Machine Learning with Reject Option
Brinkrolf J, Hammer B (2018)
at - Automatisierungstechnik 66(4): 283-290.
PUB | DOI | WoS
 
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 (2018)
Neurocomputing 298: 122-133.
PUB | DOI | WoS | arXiv
 
2018 | Journal Article | PUB-ID: 2915273
Interpretation of Linear Classifiers by Means of Feature Relevance Bounds
Göpfert C, Pfannschmidt L, Göpfert JP, Hammer B (2018)
Neurocomputing 298: 69-79.
PUB | PDF | DOI
 
2018 | Bielefeld Dissertation | PUB-ID: 2919673
Efficient Grouping Methods for the Annotation and Sorting of Single Cells
Lux M (2018)
Bielefeld: Universität Bielefeld.
PUB | PDF
 
2018 | Conference Paper | PUB-ID: 2919598
Feasibility Based Large Margin Nearest Neighbor Metric Learning
Hosseini B, Hammer B (2018)
In: Proceedings of 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning.
PUB | PDF
 
2018 | Conference Paper | PUB-ID: 2918254
Differential private relevance learning
Brinkrolf J, Berger K, Hammer B (In Press)
In: ESANN 2018 proceedings. Verleysen M (Ed); .
PUB
 
2018 | Conference Paper | PUB-ID: 2916318
Linear Supervised Transfer Learning for the Large Margin Nearest Neighbor Classifier
Berger K, Schulz A, Paaßen B, Hammer B (2018)
Presented at the SSCI CIDM 2017.
PUB | DOI
 
2018 | Journal Article | PUB-ID: 2917896
flowLearn: Fast and precise identification and quality checking of cell populations in flow cytometry
Lux M, Brinkman RR, Chauve C, Laing A, Lorenc A, Abeler-Dörner L, Hammer B (2018)
Bioinformatics.
PUB | DOI
 
2018 | 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 (Accepted)
Journal of Educational Data Mining.
PUB | arXiv
 
2018 | Journal Article | PUB-ID: 2914730
Incremental on-line learning: A review and comparison of state of the art algorithms
Losing V, Hammer B, Wersing H (2018)
Neurocomputing 275: 1261-1274.
PUB | PDF | DOI | WoS
 
2018 | Journal Article | PUB-ID: 2917201
Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM)
Losing V, Hammer B, Wersing H (2018)
KNOWLEDGE AND INFORMATION SYSTEMS 54(1): 171-201.
PUB | DOI | WoS
 
2017 | Conference Paper | PUB-ID: 2908201
Feature Relevance Bounds for Linear Classification
Göpfert C, Pfannschmidt L, Hammer B (2017)
In: Proceedings of the ESANN, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Louvain-la-Neuve: Ciaco - i6doc.com: 187--192.
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 Abstract | PUB-ID: 2919990
Task-Driven Sparse Coding for Classification of Motion Data
Hosseini B, Hammer B (2017)
Presented at the Ninth Mittweida Workshop on Computational Intelligence (MiWoCI 2017), Mittweida.
PUB | PDF
 
2017 | Conference Paper | PUB-ID: 2919987
Non-negative Kernel Sparse Coding Frameworks for Efficient Analysis of Motion Data
Hosseini B, Hammer B (2017)
Presented at the BMVA Symposium on Human Activity Recognition and Monitoring, London.
PUB | Files available
 
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). Machine Learning Reports, 03/2017. Bielefeld: Universität Bielefeld, CITEC.
PUB | PDF
 
2017 | Conference Paper | PUB-ID: 2908165
Imitation learning for a continuum trunk robot
Malekzadeh M, Queißer J, Steil JJ (2017)
In: Proceedings of the 25. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. ESANN 2017. Verleysen M (Ed); Louvain-la-Neuve: Ciaco.
PUB | PDF
 

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