20. ICANN 2010: Thessaloniki, Greece

ANN Applications

• Vladimír Olej, Petr Hájek:
  IF-Inference Systems Design for Prediction of Ozone Time Series: The Case of Pardubice Micro-region. 1-11
  
• Cosmin Popa:
  Superior-Order Curvature-Corrected Voltage Reference Using a Current Generator. 12-21
  
• Luis C. Freire, Ana R. Gouveia, Fernando M. Godinho:
  A Neural Network-Based Method for Affine 3D Registration of FMRI Time Series Using Fourier Space Subsets. 22-31
  
• Harris Papadopoulos, Haris Haralambous:
  Neural Networks Regression Inductive Conformal Predictor and Its Application to Total Electron Content Prediction. 32-41
  
• Marzena Klos, Zenon Waszczyszyn:
  Prediction of Compaction Characteristics of Granular Soils by Neural Networks. 42-45
  
• Jaakko Talonen, Miki Sirola, Eimontas Augilius:
  Modelling Power Output at Nuclear Power Plant by Neural Networks. 46-49
  
• Juan Peralta, Germán Gutiérrez, Araceli Sanchís:
  Time Series Forecasting by Evolving Artificial Neural Networks Using "Shuffle", Cross-Validation and Ensembles. 50-53
  
• Krzysztof Siwek, Stanislaw Osowski, Bartosz Swiderski, Lukasz Mycka:
  Prediction of Power Consumption for Small Power Region Using Indexing Approach and Neural Network. 54-59
  
• David Martínez-Rego, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Amparo Alonso-Betanzos:
  Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks. 60-66
  

Bayesian ANN

• Yasuhiro Sogawa, Shohei Shimizu, Aapo Hyvärinen, Takashi Washio, Teppei Shimamura, Seiya Imoto:
  Discovery of Exogenous Variables in Data with More Variables Than Observations. 67-76
  
• Tikara Hosino:
  Bayesian Joint Optimization for Topic Model and Clustering. 77-86
  
• Dimitris Tzikas, Aristidis Likas:
  An Incremental Bayesian Approach for Training Multilayer Perceptrons. 87-96
  
• Bartosz Miller:
  Application of Semi-Bayesian Neural Networks in the Identification of Load Causing Beam Yielding. 97-100
  
• Kobra Etminani, Mahmoud Naghibzadeh, Amir Reza Razavi:
  Globally Optimal Structure Learning of Bayesian Networks from Data. 101-106
  

Bio Inspired - Spiking ANN

• Vassilis Cutsuridis:
  Action Potential Bursts Modulate the NMDA-R Mediated Spike Timing Dependent Plasticity in a Biophysical Model. 107-116
  
• Boudjelal Meftah, Olivier Lezoray, Michel Lecluse, Abdelkader Benyettou:
  Cell Microscopic Segmentation with Spiking Neuron Networks. 117-126
  
• Masumi Kogure, Shuichi Matsuzaki, Yasuhiro Wada:
  Investigation of Brain-Computer Interfaces That Apply Sound-Evoked Event-Related Potentials. 127-134
  
• Vladyslav V. Shaposhnyk, Pierre Dutoit, Stephen Perrig, Alessandro E. P. Villa:
  Functional Connectivity Driven by External Stimuli in a Network of Hierarchically Organized Neural Modules. 135-144
  
• Yoshiyuki Asai, Alessandro E. P. Villa:
  Transmission of Distributed Deterministic Temporal Information through a Diverging/Converging Three-Layers Neural Network. 145-154
  
• Masataka Yamao, Honda Naoki, Shin Ishii:
  Noise-Induced Collective Migration for Neural Crest Cells. 155-163
  
• Matthew Cook, Florian Jug, Christoph Krautz, Angelika Steger:
  Unsupervised Learning of Relations. 164-173
  
• Jun Miao, Baixian Zou, Laiyun Qing, Lijuan Duan, Yu Fu:
  Learning Internal Representation of Visual Context in a Neural Coding Network. 174-183
  
• Jörn Hoffmann, Karim El-Laithy, Frank Güttler, Martin Bogdan:
  Simulating Biological-Inspired Spiking Neural Networks with OpenCL. 184-187
  
• Daniel Alejandro González Bandala, Pedro Luis Sánchez Orellana, Claudio Castellanos Sánchez:
  Bio-inspired Architecture for Human Detection. 188-192
  
• Hui Wei, Xudong Guan, Qingsong Zuo:
  Multilayer and Multipathway Simulation on Retina. 193-198
  
• Raul Llinares, Jorge Igual, Julio Miró-Borrás, Andrés Camacho:
  Analysis of Astrophysical Ice Analogs Using Regularized Alternating Least Squares. 199-204
  
• Kenji Nakayama, Hiroki Horita, Akihiro Hirano:
  A BCI System Based on Orthogonalized EEG Data and Multiple Multilayer Neural Networks in Parallel Form. 205-210
  
• Thomas Schmid, Dorothee Günzel, Martin Bogdan:
  Using an Artificial Neural Network to Determine Electrical Properties of Epithelia. 211-216
  
• Maurizio Fiasché, Maria Cuzzola, Roberta Fedele, Pasquale Iacopino, Francesco Carlo Morabito:
  Machine Learning and Personalized Modeling Based Gene Selection for Acute GvHD Gene Expression Data Analysis. 217-223
  
• Nooraini Yusoff, André Grüning:
  Supervised Associative Learning in Spiking Neural Network. 224-229
  

Biomedical ANN

• Vassilis Cutsuridis, Michael E. Hasselmo:
  Dynamics and Function of a CA1 Model of the Hippocampus during Theta and Ripples. 230-240
  
• Dimitrios H. Mantzaris, George C. Anastassopoulos, Lazaros S. Iliadis, Aggelos Tsalkidis, Adam Adamopoulos:
  A Probabilistic Neural Network for Assessment of the Vesicoureteral Reflux's Diagnostic Factors Validity. 241-250
  
• Stylianos D. Tzikopoulos, Harris V. Georgiou, Michael E. Mavroforakis, Sergios Theodoridis:
  Shape-Based Tumor Retrieval in Mammograms Using Relevance-Feedback Techniques. 251-260
  
• Marc Sauget, Rémy Laurent, Julien Henriet, Michel Salomon, Régine Gschwind, Sylvain Contassot-Vivier, Libor Makovicka, Charles Soussen:
  Efficient Domain Decomposition for a Neural Network Learning Algorithm, Used for the Dose Evaluation in External Radiotherapy. 261-266
  
• Ernesto Iacucci, Yves Moreau:
  Towards Better Receptor-Ligand Prioritization: How Machine Learning on Protein-Protein Interaction Data Can Provide Insight Into Receptor-Ligand Pairs. 267-271
  

Computational Neuroscience

• Anthony Mouraud, Alain Guillaume, Hélène Paugam-Moisy:
  The DAMNED Simulator for Implementing a Dynamic Model of the Network Controlling Saccadic Eye Movements. 272-281
  
• Ravi Krishnan, Shivakesavan Ratnadurai, Deepak Subramanian, V. Srinivasa Chakravarthy:
  A Model of Basal Ganglia in Saccade Generation. 282-290
  
• Michiyo Suzuki, Tetsuya Sakashita, Toshio Tsuji, Yasuhiko Kobayashi:
  Computational Inferences on Alteration of Neurotransmission in Chemotaxis Learning in Caenorhabditis elegans. 291-300
  
• Ekaterina Komendantskaya, Krysia Broda, Artur S. d'Avila Garcez:
  Neuro-symbolic Representation of Logic Programs Defining Infinite Sets. 301-304
  
• José R. A. Torreão, Silvia M. C. Victer:
  A Model for Center-Surround Stimulus-Dependent Receptive Fields. 305-310
  
• Florian Hauser, David Bouchain, Günther Palm:
  Simple Constraints for Zero-Lag Synchronous Oscillations under STDP. 311-316
  

Feature Selection/Parameter Identification and Dimensionality Reduction

• Jakub Mazgut, Peter Tino, Mikael Bodén, Hong Yan:
  Multilinear Decomposition and Topographic Mapping of Binary Tensors. 317-326
  
• Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Roberto Ruiz, José C. Riquelme:
  Evolutionary q-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection. 327-336
  
• Ingrid Brænne, Kai Labusch, Amir Madany Mamlouk:
  Sparse Coding for Feature Selection on Genome-Wide Association Data. 337-346
  
• Anna Kucerová, Tomás Mares:
  Self-adaptive Artificial Neural Network in Numerical Models Calibration. 347-350
  
• Timo Honkela, Tiina Lindh-Knuutila, Krista Lagus:
  Measuring Adjective Spaces. 351-355
  
• Hans-Ulrich Kobialka, Umer Kayani:
  Echo State Networks with Sparse Output Connections. 356-361
  
• Erik Schaffernicht, Robert Kaltenhaeuser, Saurabh Shekhar Verma, Horst-Michael Gross:
  On Estimating Mutual Information for Feature Selection. 362-367
  
• Ilkka Kivimäki, Krista Lagus, Ilari T. Nieminen, Jaakko J. Väyrynen, Timo Honkela:
  Using Correlation Dimension for Analysing Text Data. 368-373
  

Filtering

• Poramate Manoonpong, Frank Pasemann, Christoph Kolodziejski, Florentin Wörgötter:
  Designing Simple Nonlinear Filters Using Hysteresis of Single Recurrent Neurons for Acoustic Signal Recognition in Robots. 374-383
  
• Meng Li, Yiu-ming Cheung:
  Automatic Segmentation of Color Lip Images Based on Morphological Filter. 384-387
  
• Charles W. Fox, Tony J. Prescott:
  Learning in a Unitary Coherent Hippocampus. 388-394
  
• Manolis G. Vozalis, Angelos I. Markos, Konstantinos G. Margaritis:
  Collaborative Filtering through SVD-Based and Hierarchical Nonlinear PCA. 395-400
  

Genetic - Evolutionary Algorithms

• Yuya Hattori, Michiyo Suzuki, Zu Soh, Yasuhiko Kobayashi, Toshio Tsuji:
  A Novel Tuning Method for Neural Oscillators with a Ladder-Like Structure Based on Oscillation Analysis. 401-410
  
• Anne M. P. Canuto, Michael C. Fairhurst, Laura Emmanuella A. Santana, Fernando Pintro, Antonino Feitosa Neto:
  Ensemble-Based Methods for Cancellable Biometrics. 411-414
  
• Bertha Guijarro-Berdiñas, Santiago Fernández-Lorenzo, Noelia Sánchez-Maroño, Oscar Fontenla-Romero:
  A Privacy-Preserving Distributed and Incremental Learning Method for Intrusion Detection. 415-421
  
• Sandra García, Ricardo Aler, Inés María Galván:
  Using Evolutionary Multiobjective Techniques for Imbalanced Classification Data. 422-427
  
• Andreas S. Karathanasopoulos, Konstantinos A. Theofilatos, Panagiotis M. Leloudas, Spiridon D. Likothanassis:
  Modeling the Ase 20 Greek Index Using Artificial Neural Networks Combined with Genetic Algorithms. 428-435
  
• Jacqueline Fairley, George K. Georgoulas, Chrysostomos D. Stylios, David Rye:
  A Hybrid Approach for Artifact Detection in EEG Data. 436-441
  
• Olga Georgiou, Nicolas Tsapatsoulis:
  Improving the Scalability of Recommender Systems by Clustering Using Genetic Algorithms. 442-449
  

Image - Video and Audio Processing

• Nikolaos Mitianoudis:
  A Directional Laplacian Density for Underdetermined Audio Source Separation. 450-459
  
• Anastasios Maronidis, Anastasios Tefas, Ioannis Pitas:
  Frontal View Recognition Using Spectral Clustering and Subspace Learning Methods. 460-469
  
• Dimitris Bolis, Anastasios Maronidis, Anastasios Tefas, Ioannis Pitas:
  Improving the Robustness of Subspace Learning Techniques for Facial Expression Recognition. 470-479
  
• Giannis K. Chantas:
  Variational Bayesian Image Super-Resolution with GPU Acceleration. 480-489
  
• Mauricio Kugler, Takanobu Hishida, Susumu Kuroyanagi, Akira Iwata:
  A Novel Approach for Hardware Based Sound Localization. 490-499
  
• Ioannis M. Stephanakis, George C. Anastassopoulos, Lazaros S. Iliadis:
  Color Segmentation Using Self-Organizing Feature Maps (SOFMs) Defined Upon Color and Spatial Image Space. 500-510
  
• Toshifumi Sano, Shuichi Matsuzaki, Yasuhiro Wada:
  Independent Component Analysis of Multi-channel Near-Infrared Spectroscopic Signals by Time-Delayed Decorrelation. 511-520
  
• Ihor Paliy, Francesco Lamonaca, Volodymyr Turchenko, Domenico Grimaldi, Anatoly Sachenko:
  Micro Nucleus Detection in Human Lymphocytes Using Convolutional Neural Network. 521-530
  
• Ville Viitaniemi, Jorma Laaksonen:
  Region Matching Techniques for Spatial Bag of Visual Words Based Image Category Recognition. 531-540
  
• Dalius Matuzevicius, Arturas Serackis, Dalius Navakauskas:
  Application of K-Means and MLP in the Automation of Matching of 2DE Gel Images. 541-550
  
• Athanasios Voulodimos, Helmut Grabner, Dimitrios I. Kosmopoulos, Luc J. Van Gool, Theodora A. Varvarigou:
  Robust Workflow Recognition Using Holistic Features and Outlier-Tolerant Fused Hidden Markov Models. 551-560
  
• Ahmed A. Othman, Hamid R. Tizhoosh:
  A Neural Approach to Image Thresholding. 561-564
  
• Carlos M. Travieso, Miguel A. Ferrer, Jesús B. Alonso:
  Bubbles Detection on Sea Surface Images. 565-568
  
• Dragan Kukolj, Maja Pokric, Vladimir Zlokolica, Jovana Filipovic, Miodrag Temerinac:
  No-Reference Video Quality Assessment Design Framework Based on Modular Neural Networks. 569-574
  
• Emel Arslan, Sabri Arik:
  Removing an Object from Video Sequence Algorithm Implemented on Analog CNN and DSP Microprocessors. 575-580
  

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