19. ICANN 2009: Limassol, Cyprus

Neuroinformatics and Bioinformatics

• André Ventura, João M. Franco, João P. Ramos, Bruno Direito, António Dourado:
  Epileptic Seizure Prediction and the Dimensionality Reduction Problem. 1-9
  
• Maurizio Fiasché, Anju Verma, Maria Cuzzola, Pasquale Iacopino, Nikola K. Kasabov, Francesco Carlo Morabito:
  Discovering Diagnostic Gene Targets and Early Diagnosis of Acute GVHD Using Methods of Computational Intelligence over Gene Expression Data. 10-19
  
• André C. A. Nascimento, Ricardo Bastos Cavalcante Prudêncio, Marcílio Carlos Pereira de Souto, Ivan G. Costa:
  Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data. 20-29
  
• Hui Wei, Xudong Guan:
  A Computational Retina Model and Its Self-adjustment Property. 30-39
  

Cognitive Machines

• Matthew Hartley, John G. Taylor:
  Mental Simulation, Attention and Creativity. 40-53
  
• Petro M. Gopych:
  BSDT Atom of Consciousness Model, AOCM: The Unity and Modularity of Consciousness. 54-64
  
• Roseli S. Wedemann, Luís Alfredo V. de Carvalho, Raul Donangelo:
  Generalized Simulated Annealing and Memory Functioning in Psychopathology. 65-74
  
• Régis Martinez, Hélène Paugam-Moisy:
  Algorithms for Structural and Dynamical Polychronous Groups Detection. 75-84
  
• Steffen Hölldobler, Carroline Dewi Puspa Kencana Ramli:
  Logics and Networks for Human Reasoning. 85-94
  

Data Analysis and Pattern Recognition

• John Aldo Lee, Michel Verleysen:
  Simbed: Similarity-Based Embedding. 95-104
  
• Riccardo Cardin, Lisa Michielan, Stefano Moro, Alessandro Sperduti:
  PCA-Based Representations of Graphs for Prediction in QSAR Studies. 105-114
  
• Ana R. Teixeira, Ana Maria Tomé, Elmar Wolfgang Lang:
  Feature Extraction Using Linear and Non-linear Subspace Techniques. 115-124
  
• Mateusz Kobos, Jacek Mandziuk:
  Classification Based on Combination of Kernel Density Estimators. 125-134
  
• Yoshitatsu Matsuda, Kazunori Yamaguchi:
  Joint Approximate Diagonalization Utilizing AIC-Based Decision in the Jacobi Method. 135-144
  
• Konstantinos Blekas, K. Christodoulidou, Isaac E. Lagaris:
  Newtonian Spectral Clustering. 145-154
  
• Yusuke Tanahashi, Ryohei Nakano:
  Bidirectional Clustering of MLP Weights for Finding Nominally Conditioned Polynomials. 155-164
  
• Jiri Grim, Jan Hora:
  Recognition of Properties by Probabilistic Neural Networks. 165-174
  
• Jorge M. Santos, Mark Embrechts:
  On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised Classification. 175-184
  
• Shan He, Huanhuan Chen, Xiaoli Li, Xin Yao:
  Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning. 185-194
  
• Manuel Martín-Merino, Javier De Las Rivas:
  Kernel Alignment k-NN for Human Cancer Classification Using the Gene Expression Profiles. 195-204
  
• Grigorios Tzortzis, Aristidis Likas:
  Convex Mixture Models for Multi-view Clustering. 205-214
  
• Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Ben Paechter, Alberto Guillén, Ignacio Rojas:
  Strengthening the Forward Variable Selection Stopping Criterion. 215-224
  
• Elina Parviainen, Aki Vehtari:
  Features and Metric from a Classifier Improve Visualizations with Dimension Reduction. 225-234
  
• Luis F. Lago-Fernández, Manuel A. Sánchez-Montañés, Fernando J. Corbacho:
  Fuzzy Cluster Validation Using the Partition Negentropy Criterion. 235-244
  
• Adrian G. Bors, Nikolaos Nasios:
  Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling. 245-254
  
• Frederic Suard, David Mercier:
  Using Kernel Basis with Relevance Vector Machine for Feature Selection. 255-264
  
• Bharatan Konnanath, Prasanna Sattigeri, Trupthi Mathew, Andreas Spanias, Shalini Prasad, Michael Goryll, Trevor Thornton, Peter Knee:
  Acquiring and Classifying Signals from Nanopores and Ion-Channels. 265-274
  
• Khaled S. Refaat, Amir F. Atiya:
  Hand-Drawn Shape Recognition Using the SVM'ed Kernel. 275-284
  
• Antti Yli-Krekola, Jaakko Särelä, Harri Valpola:
  Selective Attention Improves Learning. 285-294
  

Signal and Time Series Processing

• Sergey Dolenko, Alexander Guzhva, Igor Persiantsev, Ju. S. Shugai:
  Multi-stage Algorithm Based on Neural Network Committee for Prediction and Search for Precursors in Multi-dimensional Time Series. 295-304
  
• Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutila, Peter A. J. Hilbers, Timo Honkela, Erkki Oja, Amaury Lendasse:
  Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction. 305-314
  
• Carlos Alzate, Marcelo Espinoza, Bart De Moor, Johan A. K. Suykens:
  Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering. 315-324
  
• Yuta Haraguchi, Yutaka Shimada, Tohru Ikeguchi, Kazuyuki Aihara:
  Transformation from Complex Networks to Time Series Using Classical Multidimensional Scaling. 325-334
  
• Harris Papadopoulos, Haris Haralambous:
  Predicting the Occupancy of the HF Amateur Service with Neural Network Ensembles. 335-344
  
• Shigeki Nagaya, Chenli Zhang, Osamu Hasegawa:
  An Associated-Memory-Based Stock Price Predictor. 345-357
  
• Shengkun Xie, Pietro Liò, Anna T. Lawniczak:
  A Case Study of ICA with Multi-scale PCA of Simulated Traffic Data. 358-367
  
• Vasiliki Iordanidou, Kostas Michalopoulos, Vangelis Sakkalis, Michalis Zervakis:
  Decomposition Methods for Detailed Analysis of Content in ERP Recordings. 368-377
  
• Diego Ordóñez, Carlos Dafonte, Minia Manteiga, Bernardino Arcay Varela:
  Outlier Analysis in BP/RP Spectral Bands. 378-386
  
• Durga L. Shrestha, Nagendra Kayastha, Dimitri P. Solomatine:
  ANNs and Other Machine Learning Techniques in Modelling Models' Uncertainty. 387-396
  
• Sergey Dolenko, Alexander Guzhva, Eugeny Obornev, Igor Persiantsev, Mikhail Shimelevich:
  Comparison of Adaptive Algorithms for Significant Feature Selection in Neural Network Based Solution of the Inverse Problem of Electrical Prospecting. 397-405
  
• Ginés Rubio, Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, Alberto Guillén:
  Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error. 406-415
  

Applications

• Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin:
  Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis. 416-425
  
• Ning Chen, Wang-Gen Wan:
  Speech Hashing Algorithm Based on Short-Time Stability. 426-434
  
• Krzysztof Cpalka, Olga Rebrova, Leszek Rutkowski:
  A New Method for Complexity Reduction of Neuro-fuzzy Systems with Application to Differential Stroke Diagnosis. 435-444
  
• Maria Pavlou, Nigel M. Allinson:
  LS Footwear Database - Evaluating Automated Footwear Pattern Analysis. 445-454
  
• Matteo Cacciola, Salvatore Calcagno, Filippo Laganá, Giuseppe Megali, Diego Pellicanò, Mario Versaci, Francesco Carlo Morabito:
  Advanced Integration of Neural Networks for Characterizing Voids in Welded Strips. 455-464
  
• Ilianna Kollia, Nikos Simou, Giorgos B. Stamou, Andreas Stafylopatis:
  Connectionist Models for Formal Knowledge Adaptation. 465-474
  
• Darko Kovacevic, Nikica Pribacic, Mate Jovic, Radovan Antonic, Asja Kovacevic:
  Modeling Human Operator Controlling Process in Different Environments. 475-484
  
• Václav Chudácek, George Georgoulas, Michal Huptych, Chrysostomos D. Stylios, Lenka Lhotská:
  Discriminating between V and N Beats from ECGs Introducing an Integrated Reduced Representation along with a Neural Network Classifier. 485-494
  
• Alexandre Ormiga G. Barbosa, David Ronald A. Diaz, Marley Maria Bernardes Rebuzzi Vellasco, Marco A. Meggiolaro, Ricardo Tanscheit:
  Mental Tasks Classification for a Noninvasive BCI Application. 495-504
  
• Vladimír Olej, Petr Hájek:
  Municipal Creditworthiness Modelling by Radial Basis Function Neural Networks and Sensitive Analysis of Their Input Parameters. 505-514
  
• Luigi Sportiello, Bernardo Dal Seno, Matteo Matteucci:
  A Comparison of Three Methods with Implicit Features for Automatic Identification of P300s in a BCI. 515-524
  

Neural Dynamics and Complex Systems

• Martin Schüle, Thomas Ott, Ruedi Stoop:
  Computing with Probabilistic Cellular Automata. 525-533
  
• Jian Xu, Kwok Wai Chung, Ju Hong Ge, Yu Huang:
  Delay-Induced Hopf Bifurcation and Periodic Solution in a BAM Network with Two Delays. 534-543
  
• Hamada Toshiyuki, Jousuke Kuroiwa, Hisakazu Ogura, Tomohiro Odaka, Haruhiko Shirai, Yuko Kato:
  Response Properties to Inputs of Memory Pattern Fragments in Three Types of Chaotic Neural Network Models. 544-551
  
• Rita Fuentes, Alexander S. Poznyak, Isaac Chairez, Tatyana Poznyak:
  Partial Differential Equations Numerical Modeling Using Dynamic Neural Networks. 552-562
  
• Shun Motohashi, Takafumi Matsuura, Tohru Ikeguchi, Kazuyuki Aihara:
  The Lin-Kernighan Algorithm Driven by Chaotic Neurodynamics for Large Scale Traveling Salesman Problems. 563-572
  
• Takayuki Suzuki, Shun Motohashi, Takafumi Matsuura, Tohru Ikeguchi, Kazuyuki Aihara:
  Quadratic Assignment Problems for Chaotic Neural Networks with Dynamical Noise. 573-582
  
• Zhigang Zeng, Jun Wang, Tingwen Huang:
  Global Exponential Stability of Recurrent Neural Networks with Time-Dependent Switching Dynamics. 583-592
  
• Yuichi Nakamura, Masahiro Nakagawa:
  Approximation Capability of Continuous Time Recurrent Neural Networks for Non-autonomous Dynamical Systems. 593-602
  
• Filip Piekniewski:
  Spectra of the Spike Flow Graphs of Recurrent Neural Networks. 603-612
  
• Andreas Loengarov, Valery Tereshko:
  Activation Dynamics in Excitable Maps: Limits to Communication Can Facilitate the Spread of Activity. 613-622
  

Vision and Image Processing

• Michael Gutmann, Aapo Hyvärinen:
  Learning Features by Contrasting Natural Images with Noise. 623-632
  
• Dubravko Culibrk, Dragan Kukolj, Petar Vasiljevic, Maja Pokric, Vladimir Zlokolica:
  Feature Selection for Neural-Network Based No-Reference Video Quality Assessment. 633-642
  
• Marco K. Müller, Rolf P. Würtz:
  Learning from Examples to Generalize over Pose and Illumination. 643-652
  
• Stefano Melacci, Marco Maggini, Marco Gori:
  Semi-supervised Learning with Constraints for Multi-view Object Recognition. 653-662
  
• Stephan Hasler, Heiko Wersing, Stephan Kirstein, Edgar Körner:
  Large-Scale Real-Time Object Identification Based on Analytic Features. 663-672
  
• Yasuaki Kuroe, Hajimu Kawakami:
  Estimation Method of Motion Fields from Images by Model Inclusive Learning of Neural Networks. 673-683
  
• Judith Redi, Paolo Gastaldo, Rodolfo Zunino:
  Hybrid Neural Systems for Reduced-Reference Image Quality Assessment. 684-693
  
• Ville Viitaniemi, Jorma Laaksonen:
  Representing Images with chi² Distance Based Histograms of SIFT Descriptors. 694-703
  
• Jukka Perkiö, Aapo Hyvärinen:
  Modelling Image Complexity by Independent Component Analysis, with Application to Content-Based Image Retrieval. 704-714
  
• Anastasios Doulamis:
  Adaptable Neural Networks for Objects' Tracking Re-initialization. 715-724
  
• Manuel Graña, Maite García-Sebastián, Carmen Hernández:
  Lattice Independent Component Analysis for fMRI Analysis. 725-734
  
• Erik Schaffernicht, Volker Stephan, Horst-Michael Gross:
  Adaptive Feature Transformation for Image Data from Non-stationary Processes. 735-744
  
• Pedro L. Sánchez Orellana, Claudio Castellanos Sánchez:
  Bio-inspired Connectionist Architecture for Visual Detection and Refinement of Shapes. 745-754
  

Neuro-Evolution and Hybrid Techniques for Mobile Agents Control

• Justin Bayer, Daan Wierstra, Julian Togelius, Jürgen Schmidhuber:
  Evolving Memory Cell Structures for Sequence Learning. 755-764
  
• Faustino J. Gomez, Julian Togelius, Jürgen Schmidhuber:
  Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning. 765-774
  
• Jan Drchal, Ondrej Kapral, Jan Koutník, Miroslav Snorek:
  Combining Multiple Inputs in HyperNEAT Mobile Agent Controller. 775-783
  
• Thomas M. Poulsen, Roger K. Moore:
  Evolving Spiking Neural Parameters for Behavioral Sequences. 784-793
  
• Michael F. Mc Bride, T. Martin McGinnity, Liam P. Maguire:
  Robospike Sensory Processing for a Mobile Robot Using Spiking Neural Networks. 794-803
  

Neural Control, Planning and Robotics Applications

• Sven Hellbach, Julian Eggert, Edgar Körner, Horst-Michael Gross:
  Basis Decomposition of Motion Trajectories Using Spatio-temporal NMF. 804-814
  
• Haris E. Psillakis:
  An Adaptive NN Controller with Second Order SMC-Based NN Weight Update Law for Asymptotic Tracking. 815-822
  
• Vu Nam Tran, Mietek A. Brdys:
  Optimizing Control by Robustly Feasible Model Predictive Control and Application to Drinking Water Distribution Systems. 823-834
  
• Ion Necoara:
  Distributed Control over Networks Using Smoothing Techniques. 835-844
  
• Nardênio A. Martins, Douglas Bertol, Edson R. de Pieri:
  Trajectory Tracking of a Nonholonomic Mobile Robot Considering the Actuator Dynamics: Design of a Neural Dynamic Controller Based on Sliding Mode Theory. 845-854
  
• Chen Zhang, Julian Eggert:
  Tracking with Multiple Prediction Models. 855-864
  
• Razvan Solea, Daniela Cernega:
  Sliding Mode Control for Trajectory Tracking Problem - Performance Evaluation. 865-874
  
• Thodoris Kottas, Yiannis S. Boutalis, Manolis A. Christodoulou:
  Bilinear Adaptive Parameter Estimation in Fuzzy Cognitive Networks. 875-884
  

Intelligent Tools and Methods for Multimedia Annotation

• Christos P. Loizou, Víctor Murray, Marios S. Pattichis, Christodoulos S. Christodoulou, Marios Pantziaris, Andrew Nicolaides, Constantinos S. Pattichis:
  AM-FM Texture Image Analysis of the Intima and Media Layers of the Carotid Artery. 885-894
  
• Klimis S. Ntalianis, Anastasios D. Doulamis, Nicolas Tsapatsoulis, Nikolaos D. Doulamis:
  Unsupervised Clustering of Clickthrough Data for Automatic Annotation of Multimedia Content. 895-904
  
• Nicolas Tsapatsoulis, Zenonas Theodosiou:
  Object Classification Using the MPEG-7 Visual Descriptors: An Experimental Evaluation Using State of the Art Data Classifiers. 905-912
  
• Zenonas Theodosiou, Anastasis Kounoudes, Nicolas Tsapatsoulis, Marios Milis:
  MuLVAT: A Video Annotation Tool Based on XML-Dictionaries and Shot Clustering. 913-922
  
• Martin Haker, Thomas Martinetz, Erhardt Barth:
  Multimodal Sparse Features for Object Detection. 923-932
  

Critical Infrastructure Systems

• Loris Foresti, Devis Tuia, Alexei Pozdnoukhov, Mikhail K. Kanevski:
  Multiple Kernel Learning of Environmental Data. Case Study: Analysis and Mapping of Wind Fields. 933-943
  
• Alexander Borisov, George C. Runger, Eugene Tuv:
  Contributor Diagnostics for Anomaly Detection. 944-953
  
• Christos Laoudias, Demetrios G. Eliades, Paul Kemppi, Christos G. Panayiotou, Marios M. Polycarpou:
  Indoor Localization Using Neural Networks with Location Fingerprints. 954-963
  
• Xuanwen Luo, Ming Dong:
  Distributed Faulty Sensor Detection in Sensor Networks. 964-975
  
• Zhan Wei Lim, Colin Keng-Yan Tan, Winston Khoon-Guan Seah, Guan-Hong Tan:
  Detection of Failures in Civil Structures Using Artificial Neural Networks. 976-985
  
• Pavlos Antoniou, Andreas Pitsillides:
  Congestion Control in Autonomous Decentralized Networks Based on the Lotka-Volterra Competition Model. 986-996