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ORCIDANNPR 2016: Ulm, Germany
- Friedhelm Schwenker, Hazem M. Abbas
, Neamat El Gayar, Edmondo Trentin:
Artificial Neural Networks in Pattern Recognition - 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28-30, 2016, Proceedings. Lecture Notes in Computer Science 9896, Springer 2016, ISBN 978-3-319-46181-6
Invited Papers
- Luca Pasa, Alessandro Sperduti:
Learning Sequential Data with the Help of Linear Systems. 3-17 - Vivienne Breen, Nikola K. Kasabov, Peng Du, Stefan Calder:
A Spiking Neural Network for Personalised Modelling of Electrogastrography (EGG). 18-25
Learning Algorithms and Architectures
- Shigeo Abe:
Improving Generalization Abilities of Maximal Average Margin Classifiers. 29-41 - Frank-Michael Schleif, Ata Kabán, Peter Tiño:
Finding Small Sets of Random Fourier Features for Shift-Invariant Kernel Approximation. 42-54 - Alexander P. Kuleshov, Alexander V. Bernstein:
Incremental Construction of Low-Dimensional Data Representations. 55-67 - Edmondo Trentin:
Soft-Constrained Nonparametric Density Estimation with Artificial Neural Networks. 68-79 - Jian Hou, Wei-Xue Liu, Xu E:
Density Based Clustering via Dominant Sets. 80-91 - Yann Soullard, Sébastien Destercke, Indira Thouvenin:
Co-training with Credal Models. 92-104 - Lyn-Rouven Schirra, Florian Schmid, Hans A. Kestler, Ludwig Lausser:
Interpretable Classifiers in Precision Medicine: Feature Selection and Multi-class Categorization. 105-116 - Ricardo R. Lopes, Kelton A. P. Costa, João P. Papa:
On the Evaluation of Tensor-Based Representations for Optimum-Path Forest Classification. 117-125 - João P. Papa, Danillo Roberto Pereira, Alexandro Baldassin, Xin-She Yang:
On the Harmony Search Using Quaternions. 126-137 - Gustavo H. Rosa, João Paulo Papa, Kelton A. P. Costa, Leandro A. Passos Junior, Clayton R. Pereira, Xin-She Yang:
Learning Parameters in Deep Belief Networks Through Firefly Algorithm. 138-149 - Vidwath Raj, Sven Magg, Stefan Wermter:
Towards Effective Classification of Imbalanced Data with Convolutional Neural Networks. 150-162 - Baptiste Wicht, Andreas Fischer, Jean Hennebert:
On CPU Performance Optimization of Restricted Boltzmann Machine and Convolutional RBM. 163-174 - Vincenzo Lomonaco, Davide Maltoni:
Comparing Incremental Learning Strategies for Convolutional Neural Networks. 175-184 - Kaspar Riesen, Andreas Fischer, Horst Bunke:
Approximation of Graph Edit Distance by Means of a Utility Matrix. 185-194
Applications
- Witali Aswolinskiy, René Felix Reinhart, Jochen J. Steil:
Time Series Classification in Reservoir- and Model-Space: A Comparison. 197-208 - Matias Valdenegro-Toro:
Objectness Scoring and Detection Proposals in Forward-Looking Sonar Images with Convolutional Neural Networks. 209-219 - Yunfei Fang, Shengzhi Du, Rishaad Abdoola, Karim Djouani:
Background Categorization for Automatic Animal Detection in Aerial Videos Using Neural Networks. 220-232 - Mohamed A. Radwan, Mahmoud I. Khalil, Hazem M. Abbas:
Predictive Segmentation Using Multichannel Neural Networks in Arabic OCR System. 233-245 - Shibaprasad Sen, Mridul Mitra, Shubham Chowdhury, Ram Sarkar, Kaushik Roy:
Quad-Tree Based Image Segmentation and Feature Extraction to Recognize Online Handwritten Bangla Characters. 246-256 - Marco Bongini, Vincenzo Laveglia, Edmondo Trentin:
A Hybrid Recurrent Neural Network/Dynamic Probabilistic Graphical Model Predictor of the Disulfide Bonding State of Cysteines from the Primary Structure of Proteins. 257-268 - Mohammadreza Amirian, Markus Kächele, Friedhelm Schwenker:
Using Radial Basis Function Neural Networks for Continuous and Discrete Pain Estimation from Bio-physiological Signals. 269-284 - Patrick Thiam, Sascha Meudt, Friedhelm Schwenker, Günther Palm:
Active Learning for Speech Event Detection in HCI. 285-297 - Mehmet Erdal, Markus Kächele, Friedhelm Schwenker:
Emotion Recognition in Speech with Deep Learning Architectures. 298-311 - Heinke Hihn, Sascha Meudt, Friedhelm Schwenker:
On Gestures and Postural Behavior as a Modality in Ensemble Methods. 312-323 - Viktor Kessler, Markus Kächele, Sascha Meudt, Friedhelm Schwenker, Günther Palm:
Machine Learning Driven Heart Rate Detection with Camera Photoplethysmography in Time Domain. 324-334
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