19. ICANN 2009: Limassol, Cyprus
Cesare Alippi, Marios M. Polycarpou, Christos G. Panayiotou, Georgios Ellinas (Eds.): Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part II. Springer 2009 Lecture Notes in Computer Science ISBN 978-3-642-04276-8
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
Cognitive Machines
- 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
- 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
- Yusuke Tanahashi, Ryohei Nakano: Bidirectional Clustering of MLP Weights for Finding Nominally Conditioned Polynomials. 155-164
- 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
- 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
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 E. 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
- 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 K. 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
- 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
- Toshiyuki Hamada, 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 D. 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 Luis 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
- Razvan Solea, Daniela Cernega: Sliding Mode Control for Trajectory Tracking Problem - Performance Evaluation. 865-874
- Theodore L. 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 F. 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
- 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
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last updated on 2013-06-18T214307 by the dblp team