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ORCID23. ICANN 2013: Sofia, Bulgaria
- Valeri M. Mladenov, Petia D. Koprinkova-Hristova
, Günther Palm, Alessandro E. P. Villa, Bruno Appollini, Nikola K. Kasabov:
Artificial Neural Networks and Machine Learning - ICANN 2013 - 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013. Proceedings. Lecture Notes in Computer Science 8131, Springer 2013, ISBN 978-3-642-40727-7
Neural Network Theory and Models
- Botond Attila Bócsi, Lehel Csató:
Hessian Corrected Input Noise Models. 1-8 - Hani El Assaad, Allou Samé, Gérard Govaert, Patrice Aknin:
Model-Based Clustering of Temporal Data. 9-16 - Yuya Okadome, Yutaka Nakamura, Yumi Shikauchi, Shin Ishii, Hiroshi Ishiguro:
Fast Approximation Method for Gaussian Process Regression Using Hash Function for Non-uniformly Distributed Data. 17-25 - Johannes Schumacher, Hazem Toutounji, Gordon Pipa:
An Analytical Approach to Single Node Delay-Coupled Reservoir Computing. 26-33 - Stefanos Ougiaroglou, Leonidas Karamitopoulos, Christos Tatoglou, Georgios Evangelidis, Dimitrios Dervos:
Applying General-Purpose Data Reduction Techniques for Fast Time Series Classification. 34-41 - Vladimir Kryzhanovsky, Irina Zhelavskaya, Juan Antonio Clares Tomas:
Two-Layer Vector Perceptron. 42-49 - Hiroshi Okamoto:
Local Detection of Communities by Neural-Network Dynamics. 50-57 - Jérémie Cabessa, Alessandro E. P. Villa:
The Super-Turing Computational Power of Interactive Evolving Recurrent Neural Networks. 58-65 - Carlos M. Alaíz, Álvaro Barbero Jiménez, José R. Dorronsoro:
Group Fused Lasso. 66-73 - Farouk Chérif, Hajer Brahmi, Boudour Ammar, Adel M. Alimi:
Exponential Synchronization of a Class of RNNs with Discrete and Distributed Delays. 74-81 - Salvatore Frandina, Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci:
Variational Foundations of Online Backpropagation. 82-89 - Rafal Zdunek, Anh Huy Phan, Andrzej Cichocki:
GNMF with Newton-Based Methods. 90-97 - Nathan Burles, Simon O'Keefe, James Austin:
Improving the Associative Rule Chaining Architecture. 98-105
Machine Learning and Learning Algorithms
- KyungHyun Cho, Tapani Raiko, Alexander Ilin, Juha Karhunen:
A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines. 106-113 - Jirí Síma:
A Low-Energy Implementation of Finite Automata by Optimal-Size Neural Nets. 114-121 - Diego Peteiro-Barral, Bertha Guijarro-Berdiñas:
A Distributed Learning Algorithm Based on Frontier Vector Quantization and Information Theory. 122-129 - Frank Sehnke:
Efficient Baseline-Free Sampling in Parameter Exploring Policy Gradients: Super Symmetric PGPE. 130-137 - Artem N. Chernodub:
Direct Method for Training Feed-Forward Neural Networks Using Batch Extended Kalman Filter for Multi-Step-Ahead Predictions. 138-145 - Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti:
Learning with Hard Constraints. 146-153 - Igor Farkas, Kristína Rebrová:
Bidirectional Activation-based Neural Network Learning Algorithm. 154-161 - Daisuke Higuchi, Seiichi Ozawa:
A Neural Network Model for Online Multi-Task Multi-Label Pattern Recognition. 162-169 - Hunor Sandor Jakab, Lehel Csató:
Novel Feature Selection and Kernel-Based Value Approximation Method for Reinforcement Learning. 170-177 - Martin Meier, Robert Haschke, Helge J. Ritter:
Learning of Lateral Interactions for Perceptual Grouping Employing Information Gain. 178-185 - Salvatore Frandina, Marco Lippi, Marco Maggini, Stefano Melacci:
On-Line Laplacian One-Class Support Vector Machines. 186-193 - Mikhail Suvorov, Sergey Ivliev, Garegin Markarian, Denis Kolev, Dmitry Zvikhachevskiy, Plamen P. Angelov:
OSA: One-Class Recursive SVM Algorithm with Negative Samples for Fault Detection. 194-207
Brain-Machine Interaction and Bio-inspired Systems
- Ignas Martisius, Darius Birvinskas, Robertas Damasevicius, Vacius Jusas:
EEG Dataset Reduction and Classification Using Wave Atom Transform. 208-215 - Stefan Heinrich, Cornelius Weber, Stefan Wermter:
Embodied Language Understanding with a Multiple Timescale Recurrent Neural Network. 216-223 - Martin Spüler, Wolfgang Rosenstiel, Martin Bogdan:
Unsupervised Online Calibration of a c-VEP Brain-Computer Interface (BCI). 224-231 - Stephan Tschechne, Georg Layher, Heiko Neumann:
A Biologically Inspired Model for the Detection of External and Internal Head Motions. 232-239 - Cristian Axenie, Jörg Conradt:
Cortically Inspired Sensor Fusion Network for Mobile Robot Heading Estimation. 240-247 - Yulia Sandamirskaya, Jörg Conradt:
Learning Sensorimotor Transformations with Dynamic Neural Fields. 248-255
Cognitive Sciences and Neuroscience
- Brian Gardner, André Grüning:
Learning Temporally Precise Spiking Patterns through Reward Modulated Spike-Timing-Dependent Plasticity. 256-263 - Marta Castellano, Gordon Pipa:
Memory Trace in Spiking Neural Networks. 264-271 - Tobias Brosch, Friedhelm Schwenker, Heiko Neumann:
Attention-Gated Reinforcement Learning in Neural Networks - A Unified View. 272-279 - Francis Jeanson, Tony White:
Dynamic Memory for Robot Control Using Delay-Based Coincidence Detection Neurones. 280-287 - Petia Georgieva, Fernando De la Torre:
Robust Principal Component Analysis for Brain Imaging. 288-295 - Mayumi Irifune, Robert H. Fujii:
Phase Control of Coupled Neuron Oscillators. 296-303 - Youwei Zheng, Lars Schwabe:
Dendritic Computations in a Rall Model with Strong Distal Stimulation. 304-311 - Timo Honkela, Klaus Förger:
Modeling Action Verb Semantics Using Motion Tracking. 312-318 - Parimala Alva, Giseli de Sousa, Ben Torben-Nielsen, Reinoud Maex, Rod Adams, Neil Davey, Volker Steuber:
Evolution of Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype Mapping. 319-326 - Yasuhiro Hatori, Tatsuroh Mashita, Kô Sakai:
Sparseness Controls the Receptive Field Characteristics of V4 Neurons: Generation of Curvature Selectivity in V4. 327-334
Pattern Recognition and Classification
- Juan Manuel Alonso-Weber, M. Paz Sesmero Lorente, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis:
Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging. 335-342 - Petia D. Koprinkova-Hristova, Kiril Alexiev:
Echo State Networks in Dynamic Data Clustering. 343-350 - Marjan Trutschl, Phillip Kilgore, Urska Cvek:
Self-Organization in Parallel Coordinates. 351-358 - Hui Wei, Qingsong Zuo, Bo Lang:
A General Image Representation Scheme and Its Improvement for Image Analysis. 359-366 - Christian Vollmer, Horst-Michael Gross, Julian Eggert:
Learning Features for Activity Recognition with Shift-Invariant Sparse Coding. 367-374 - Christo Panchev, Muhammad Naveed Anwar, Michael Oakes:
Hearing Aid Classification Based on Audiology Data. 375-380 - Grégoire Lefebvre, Samuel Berlemont, Franck Mamalet, Christophe Garcia:
BLSTM-RNN Based 3D Gesture Classification. 381-388 - Mashud Rana, Irena Koprinska, Abbas Khosravi:
Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data. 389-396 - Julien N. P. Martel, Toru Nakashika, Christophe Garcia, Khalid Idrissi:
A Combination of Hand-Crafted and Hierarchical High-Level Learnt Feature Extraction for Music Genre Classification. 397-404 - Krista Lagus, Juho Saari, Ilari T. Nieminen, Timo Honkela:
Exploration of Loneliness Questionnaires Using the Self-Organising Map. 405-411 - Pablo V. A. Barros, Nestor T. M. Junior, Juvenal M. M. Bisneto, Bruno J. T. Fernandes, Byron L. D. Bezerra, Sérgio M. M. Fernandes:
An Effective Dynamic Gesture Recognition System Based on the Feature Vector Reduction for SURF and LCS. 412-419 - Jens Hocke, Thomas Martinetz:
Feature Weighting by Maximum Distance Minimization. 420-425 - Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge Luis Reyes-Ortiz:
Training Computationally Efficient Smartphone-Based Human Activity Recognition Models. 426-433 - Davide Anguita, Alessandro Ghio, Luca Oneto, Jorge Luis Reyes-Ortiz, Sandro Ridella:
A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers. 434-441 - Enkelejda Tafaj, Thomas C. Kübler, Gjergji Kasneci, Wolfgang Rosenstiel, Martin Bogdan:
Online Classification of Eye Tracking Data for Automated Analysis of Traffic Hazard Perception. 442-450
Neural Network Applications in Control and Robotics
- Pablo Romeu, Francisco Zamora-Martínez, Paloma Botella-Rocamora, Juan Pardo:
Time-Series Forecasting of Indoor Temperature Using Pre-trained Deep Neural Networks. 451-458 - Yancho Todorov, Margarita Terzyiska, Michail Petrov:
Recurrent Fuzzy-Neural Network with Fast Learning Algorithm for Predictive Control. 459-466 - Christian Denk, Francisco Llobet-Blandino, Francesco Galluppi, Luis A. Plana, Steve B. Furber, Jörg Conradt:
Real-Time Interface Board for Closed-Loop Robotic Tasks on the SpiNNaker Neural Computing System. 467-474 - Oliver Lomp, Stephan Klaus Ulrich Zibner, Mathis Richter, Iñaki Rañó, Gregor Schöner:
A Software Framework for Cognition, Embodiment, Dynamics, and Autonomy in Robotics: Cedar. 475-482 - Tibor Kmet, Maria Kmetova:
Adaptive Critic Neural Network Solution of Optimal Control Problems with Discrete Time Delays. 483-494 - Tsubasa Takamatsu, Yuko Osana:
Emotion Generation System Considering Complex Emotion Based on MaC Model with Neural Networks. 495-502 - Mohammed Boukens, Abdelkrim Boukabou:
Neuro-Optimal Controller for Robot Manipulators. 503-510 - Boudour Ammar, Naima Chouikhi, Adel M. Alimi, Farouk Chérif, Nasser Rezzoug, Philippe Gorce:
Learning to Walk Using a Recurrent Neural Network with Time Delay. 511-518 - Paul Olivier, Juan-Manuel Moreno Aróstegui:
The Imbalance Network and Incremental Evolution for Mobile Robot Nervous System Design. 519-526 - Robert Hercus, Kit-Yee Wong, Kim-Fong Ho:
Balancing of a Simulated Inverted Pendulum Using the NeuraBase Network Model. 527-536 - Fumiaki Saitoh, Akihide Utani:
Coordinated Rule Acquisition of Decision Making on Supply Chain by Exploitation-Oriented Reinforcement Learning - -Beer Game as an Example-. 537-544
Other Applications of Neural Networks
- Tinghua Wang, Junyang Rao, Dongyan Zhao:
Using Exponential Kernel for Word Sense Disambiguation. 545-552 - Ryszard Szupiluk, Piotr Wojewnik, Tomasz Zabkowski:
Independent Component Analysis Filtration for Value at Risk Modelling. 553-562 - Frank Sehnke, Achim Strunk, Martin Felder, Joris Brombach, Anton Kaifel, Jon Meis:
Wind Power Resource Estimation with Deep Neural Networks. 563-570 - Mashud Rana, Irena Koprinska:
Wavelet Neural Networks for Electricity Load Forecasting - Dealing with Border Distortion and Shift Invariance. 571-578 - Timo Honkela, Michael Knapek:
Interactive Two-Level WEBSOM for Organizational Exploration. 579-585 - George J. Tsekouras, Fotis D. Kanellos, Nikos E. Mastorakis, Valeri M. Mladenov:
Optimal Operation of Electric Power Production System without Transmission Losses Using Artificial Neural Networks Based on Augmented Lagrange Multiplier Method. 586-594 - Yukinori Homma, Masafumi Hagiwara:
An Echo State Network with Working Memories for Probabilistic Language Modeling. 595-602 - Marvin Struwe, Stephan Hasler, Ute Bauer-Wersing:
Using the Analytic Feature Framework for the Detection of Occluded Objects. 603-610 - KyungHyun Cho:
Boltzmann Machines for Image Denoising. 611-618 - Nikolay N. Neshov:
Comparison on Late Fusion Methods of Low Level Features for Content Based Image Retrieval. 619-627 - Dmitry Kangin, George Kolev, Plamen P. Angelov:
Vehicle Plate Recognition Using Improved Neocognitron Neural Network. 628-640
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