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Learning sequential data with the help of linear systems
A spiking neural network for personalised modelling of Electrogastogrophy (EGG)
Improving generalization abilities of maximal average margin classifiers
Finding small sets of random Fourier features for shift-invariant kernel approximation
Incremental construction of low-dimensional data representations
Soft-constrained nonparametric density estimation with artificial neural networks
Density based clustering via dominant sets
Co-training with credal models
Interpretable classifiers in precision medicine: feature selection and multi-class categorization
On the evaluation of tensor-based representations for optimum-pathforest classification
On the harmony search using quaternions
Learning parameters in deep belief networks through firefly algorithm
Towards effective classification of imbalanced data with convolutional neural networks
On CPU performance optimization of restricted Boltzmann machine and convolutional RBM
Comparing incremental learning strategies for convolutional neural networks
Approximation of graph edit distance by means of a utility matrix
Time series classification in reservoir- and model-space: a comparison
Objectness scoring and detection proposals in forward-Looking sonar images with convolutional neural networks
Background categorization for automatic animal detection in aerial videos using neural networks
Predictive segmentation using multichannel neural networks in Arabic OCR system
Quad-tree based image segmentation and feature extraction to recognize online handwritten Bangla characters
A hybrid recurrent neural network/dynamic probabilistic graphical model predictor of the disulfide bonding state of cysteines from the primary structure of proteins
Using radial basis function neural networks for continuous anddiscrete pain estimation from bio-physiological signals
Active learning for speech event detection in HCI
Emotion recognition in speech with deep learning architectures
On gestures and postural behavior as a modality in ensemble methods
Machine learning driven heart rate detection with camera photoplethysmography in time domain. .
A spiking neural network for personalised modelling of Electrogastogrophy (EGG)
Improving generalization abilities of maximal average margin classifiers
Finding small sets of random Fourier features for shift-invariant kernel approximation
Incremental construction of low-dimensional data representations
Soft-constrained nonparametric density estimation with artificial neural networks
Density based clustering via dominant sets
Co-training with credal models
Interpretable classifiers in precision medicine: feature selection and multi-class categorization
On the evaluation of tensor-based representations for optimum-pathforest classification
On the harmony search using quaternions
Learning parameters in deep belief networks through firefly algorithm
Towards effective classification of imbalanced data with convolutional neural networks
On CPU performance optimization of restricted Boltzmann machine and convolutional RBM
Comparing incremental learning strategies for convolutional neural networks
Approximation of graph edit distance by means of a utility matrix
Time series classification in reservoir- and model-space: a comparison
Objectness scoring and detection proposals in forward-Looking sonar images with convolutional neural networks
Background categorization for automatic animal detection in aerial videos using neural networks
Predictive segmentation using multichannel neural networks in Arabic OCR system
Quad-tree based image segmentation and feature extraction to recognize online handwritten Bangla characters
A hybrid recurrent neural network/dynamic probabilistic graphical model predictor of the disulfide bonding state of cysteines from the primary structure of proteins
Using radial basis function neural networks for continuous anddiscrete pain estimation from bio-physiological signals
Active learning for speech event detection in HCI
Emotion recognition in speech with deep learning architectures
On gestures and postural behavior as a modality in ensemble methods
Machine learning driven heart rate detection with camera photoplethysmography in time domain. .