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73 Publications

2017 | Journal Article | PUB-ID: 2907674
Modeling of Parametrized Processes via Regression in the Model Space of Neural Networks
Aswolinskiy W, Reinhart F, Steil JJ (Accepted)
Neurocomputing.
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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 | Journal Article | PUB-ID: 2905193
Optimal local rejection for classifiers
Fischer L, Hammer B, Wersing H (2016)
Neurocomputing 214: 445-457.
PUB | DOI | WoS
 
2015 | Journal Article | PUB-ID: 2710031
Metric learning for sequences in relational LVQ
Mokbel B, Paaßen B, Schleif F-M, Hammer B (2015)
Neurocomputing 169: 306-322.
PUB | PDF | DOI | WoS
 
2015 | Journal Article | PUB-ID: 2671047
Parametric nonlinear dimensionality reduction using kernel t-SNE
Gisbrecht A, Schulz A, Hammer B (2015)
Neurocomputing 147: 71-82.
PUB | PDF | DOI | WoS
 
2015 | Journal Article | PUB-ID: 2772407
Median variants of learning vector quantization for learning of dissimilarity data
Nebel D, Hammer B, Frohberg K, Villmann T (2015)
Neurocomputing 169: 295-305.
PUB | DOI | WoS
 
2015 | Journal Article | PUB-ID: 2772422
Metric and non-metric proximity transformations at linear costs
Gisbrecht A, Schleif F-M (2015)
Neurocomputing 167: 643-657.
PUB | DOI | WoS
 
2015 | Journal Article | PUB-ID: 2772413
Efficient rejection strategies for prototype-based classification
Fischer L, Hammer B, Wersing H (2015)
Neurocomputing 169: 334-342.
PUB | DOI | WoS
 
2015 | Journal Article | PUB-ID: 2695196
Efficient approximations of robust soft learning vector quantization for non-vectorial data
Hofmann D, Gisbrecht A, Hammer B (2015)
Neurocomputing 147: 96-106.
PUB | DOI | WoS
 
2014 | Journal Article | PUB-ID: 2690490
Correlation-based embedding of pairwise score data
Strickert M, Bunte K, Schleif F-M, Huellermeier E (2014)
Neurocomputing 141: 97-109.
PUB | DOI | WoS
 
2014 | Journal Article | PUB-ID: 2678214
Learning interpretable kernelized prototype-based models
Hofmann D, Schleif F-M, Paaßen B, Hammer B (2014)
Neurocomputing 141: 84-96.
PUB | DOI | WoS
 
2014 | Journal Article | PUB-ID: 2675158
Perceptual grouping through competition in coupled oscillator networks
Meier M, Haschke R, Ritter H (2014)
Neurocomputing 141: 76-83.
PUB | DOI | WoS
 
2014 | Journal Article | PUB-ID: 2547888
Explorative Learning of Inverse Models: a Theoretical Perspective
Rolf M, Steil JJ (2014)
Neurocomputing 131(Special Issue: New Challenges in Neural Computation): 2-14.
PUB | DOI | WoS
 
2014 | Journal Article | PUB-ID: 2656292
Neural Learning of Vector Fields for Encoding Stable Dynamical Systems
Lemme A, Reinhart F, Neumann K, Steil JJ (2014)
Neurocomputing 141: 3-14.
PUB | PDF | DOI | WoS
 
2014 | Journal Article | PUB-ID: 2615730
Learning vector quantization for (dis-)similarities
Hammer B, Hofmann D, Schleif F-M, Zhu X (2014)
NeuroComputing 131: 43-51.
PUB | DOI | WoS
 
2013 | Journal Article | PUB-ID: 2579773
ART-based fusion of multi-modal perception for robots
Berghöfer E, Schulze D, Rauch C, Tscherepanow M, Köhler T, Wachsmuth S (2013)
Neurocomputing 107: 11-22.
PUB | DOI | WoS
 
2013 | Journal Article | PUB-ID: 2612736
Visualizing the quality of dimensionality reduction
Mokbel B, Lueks W, Gisbrecht A, Hammer B (2013)
Neurocomputing 112: 109-123.
PUB | DOI | WoS
 
2013 | Journal Article | PUB-ID: 2612731
Novel approaches in machine learning and computational intelligence
Micheli A, Schleif F-M, Tino P (2013)
Neurocomputing 112: 1-3.
PUB | DOI | WoS
 
2013 | Journal Article | PUB-ID: 2465823
Optimizing Extreme Learning Machines via Ridge Regression and Batch Intrinsic Plasticity
Neumann K, Steil JJ (2013)
Neurocomputing 102(Special Issue: Advances in Extreme Learning Machines (ELM 2011): 23-30.
PUB | PDF | DOI | WoS
 
2013 | Journal Article | PUB-ID: 2547891
Intrinsic Plasticity via Natural Gradient Descent with Application to Drift Compensation
Neumann K, Strub C, Steil JJ (2013)
Neurocomputing 112(Special Issue ESANN 2012): 26-33.
PUB | PDF | DOI | WoS
 

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