Efficient computation of counterfactual explanations and counterfactual metrics of prototype-based classifiers

Continual lifelong learning with neural networks: A review

(2019) German I. Parisi et al.   NEURAL NETWORKS

Methods for interpreting and understanding deep neural networks

(2018) Grégoire Montavon et al.   DIGITAL SIGNAL PROCESSING

Incremental on-line learning: A review and comparison of state of the art algorithms

(2018) Viktor Losing et al.   NEUROCOMPUTING

A Survey of Methods for Explaining Black Box Models

(2018) Riccardo Guidotti et al.   ACM COMPUTING SURVEYS

A review of learning vector quantization classifiers

(2013) David Nova et al.   NEURAL COMPUTING & APPLICATIONS

The NumPy Array: A Structure for Efficient Numerical Computation

(2011) Stéfan van der Walt et al.   COMPUTING IN SCIENCE & ENGINEERING

A life-long learning vector quantization approach for interactive learning of multiple categories

(2011) Stephan Kirstein et al.   NEURAL NETWORKS

Adaptive Relevance Matrices in Learning Vector Quantization

(2009) Petra Schneider et al.   NEURAL COMPUTATION

Distance Learning in Discriminative Vector Quantization

(2009) Petra Schneider et al.   NEURAL COMPUTATION