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ORCID19. ICANN 2009: Limassol, Cyprus
- Cesare Alippi, Marios M. Polycarpou, Christos G. Panayiotou, Georgios Ellinas:
Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part II. Lecture Notes in Computer Science 5769, Springer 2009, ISBN 978-3-642-04276-8
Neuroinformatics and Bioinformatics
- André Ventura, João Miguel 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 Suzi 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 - Jirí Grim, Jan Hora:
Recognition of Properties by Probabilistic Neural Networks. 165-174 - Jorge M. Santos, Mark J. 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 Fernando 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 - Frédéric 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 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 Lal 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, Wanggen Wan:
Speech Hashing Algorithm Based on Short-Time Stability. 426-434 - Krzysztof Cpalka, Olga Yu. 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 Laganà, 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 Galvão 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 - 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 - Nardenio Almeida 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 - 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 - 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
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