Abstract is missing.
- Learning Sequential Data with the Help of Linear SystemsLuca Pasa, Alessandro Sperduti. 3-17 [doi]
- A Spiking Neural Network for Personalised Modelling of Electrogastrography (EGG)Vivienne Breen, Nikola Kasabov, Peng Du, Stefan Calder. 18-25 [doi]
- Improving Generalization Abilities of Maximal Average Margin ClassifiersShigeo Abe. 29-41 [doi]
- Finding Small Sets of Random Fourier Features for Shift-Invariant Kernel ApproximationFrank-Michael Schleif, Ata Kaban, Peter Tiño. 42-54 [doi]
- Incremental Construction of Low-Dimensional Data RepresentationsAlexander P. Kuleshov, Alexander V. Bernstein. 55-67 [doi]
- Soft-Constrained Nonparametric Density Estimation with Artificial Neural NetworksEdmondo Trentin. 68-79 [doi]
- Density Based Clustering via Dominant SetsJian Hou, Wei-Xue Liu, Xu E. 80-91 [doi]
- Co-training with Credal ModelsYann Soullard, Sébastien Destercke, Indira Thouvenin. 92-104 [doi]
- Interpretable Classifiers in Precision Medicine: Feature Selection and Multi-class CategorizationLyn-Rouven Schirra, Florian Schmid, Hans A. Kestler, Ludwig Lausser. 105-116 [doi]
- On the Evaluation of Tensor-Based Representations for Optimum-Path Forest ClassificationRicardo Lopes, Kelton A. P. Costa, João P. Papa. 117-125 [doi]
- On the Harmony Search Using QuaternionsJoão P. Papa, Danillo Roberto Pereira, Alexandro Baldassin, Xin-She Yang. 126-137 [doi]
- Learning Parameters in Deep Belief Networks Through Firefly AlgorithmGustavo H. Rosa, João Paulo Papa, Kelton A. P. Costa, Leandro A. Passos Junior, Clayton R. Pereira, Xin-She Yang. 138-149 [doi]
- Towards Effective Classification of Imbalanced Data with Convolutional Neural NetworksVidwath Raj, Sven Magg, Stefan Wermter. 150-162 [doi]
- On CPU Performance Optimization of Restricted Boltzmann Machine and Convolutional RBMBaptiste Wicht, Andreas Fischer 0002, Jean Hennebert. 163-174 [doi]
- Comparing Incremental Learning Strategies for Convolutional Neural NetworksVincenzo Lomonaco, Davide Maltoni. 175-184 [doi]
- Approximation of Graph Edit Distance by Means of a Utility MatrixKaspar Riesen, Andreas Fischer 0002, Horst Bunke. 185-194 [doi]
- Time Series Classification in Reservoir- and Model-Space: A ComparisonWitali Aswolinskiy, René Felix Reinhart, Jochen J. Steil. 197-208 [doi]
- Objectness Scoring and Detection Proposals in Forward-Looking Sonar Images with Convolutional Neural NetworksMatias Valdenegro-Toro. 209-219 [doi]
- Background Categorization for Automatic Animal Detection in Aerial Videos Using Neural NetworksYunfei Fang, Shengzhi Du, Rishaad Abdoola, Karim Djouani. 220-232 [doi]
- Predictive Segmentation Using Multichannel Neural Networks in Arabic OCR SystemMohamed A. Radwan, Mahmoud I. Khalil, Hazem M. Abbas. 233-245 [doi]
- Quad-Tree Based Image Segmentation and Feature Extraction to Recognize Online Handwritten Bangla CharactersShibaprasad Sen, Mridul Mitra, Shubham Chowdhury, Ram Sarkar, Kaushik Roy. 246-256 [doi]
- A Hybrid Recurrent Neural Network/Dynamic Probabilistic Graphical Model Predictor of the Disulfide Bonding State of Cysteines from the Primary Structure of ProteinsMarco Bongini, Vincenzo Laveglia, Edmondo Trentin. 257-268 [doi]
- Using Radial Basis Function Neural Networks for Continuous and Discrete Pain Estimation from Bio-physiological SignalsMohammadreza Amirian, Markus Kächele, Friedhelm Schwenker. 269-284 [doi]
- Active Learning for Speech Event Detection in HCIPatrick Thiam, Sascha Meudt, Friedhelm Schwenker, Günther Palm. 285-297 [doi]
- Emotion Recognition in Speech with Deep Learning ArchitecturesMehmet Erdal, Markus Kächele, Friedhelm Schwenker. 298-311 [doi]
- On Gestures and Postural Behavior as a Modality in Ensemble MethodsHeinke Hihn, Sascha Meudt, Friedhelm Schwenker. 312-323 [doi]
- Machine Learning Driven Heart Rate Detection with Camera Photoplethysmography in Time DomainViktor Kessler, Markus Kächele, Sascha Meudt, Friedhelm Schwenker, Günther Palm. 324-334 [doi]