dblp: ICANN 2013 (original) (raw)

default search action

• combined dblp search
• author search
• venue search
• publication search

Authors:

• no matches
• 

Venues:

• no matches
• 

Publications:

• no matches
• 

23. ICANN 2013: Sofia, Bulgaria

• 

• 

• 

• 

• 
  jump to

  • Neural Network Theory and Models
  • Machine Learning and Learning Algorithms
  • Brain-Machine Interaction and Bio-inspired Systems
  • Cognitive Sciences and Neuroscience
  • Pattern Recognition and Classification
  • Neural Network Applications in Control and Robotics
  • Other Applications of Neural Networks

• 

• > Home > Conferences and Workshops > ICANN

SPARQL queries

Refine list

refinements active!

zoomed in on ?? of ?? records

view refined list in

export refined list as

• 
  • 
  • 
  • 
  • 
    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 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 S. 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 Angelov:
    Vehicle Plate Recognition Using Improved Neocognitron Neural Network. 628-640

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.

Unpaywalled article links

Add open access links from to the list of external document links (if available).

load links from unpaywall.org

Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.

Archived links via Wayback Machine

For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).

load content from archive.org

Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.

Reference lists

Add a list of references from , , and to record detail pages.

load references from crossref.org and opencitations.net

Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.

Citation data

Add a list of citing articles from and to record detail pages.

load citations from opencitations.net

Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.

OpenAlex data

Load additional information about publications from .

load data from openalex.org

Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.

dblp was originally created in 1993 at:

since 2018, dblp has been operated and maintained by: