ANN Applications

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  Vladimír Olej, Petr Hájek: IF-Inference Systems Design for Prediction of Ozone Time Series: The Case of Pardubice Micro-region. 1-11
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  Cosmin Popa: Superior-Order Curvature-Corrected Voltage Reference Using a Current Generator. 12-21
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  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
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  Harris Papadopoulos, Haris Haralambous: Neural Networks Regression Inductive Conformal Predictor and Its Application to Total Electron Content Prediction. 32-41
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  Marzena Klos, Zenon Waszczyszyn: Prediction of Compaction Characteristics of Granular Soils by Neural Networks. 42-45
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  Jaakko Talonen, Miki Sirola, Eimontas Augilius: Modelling Power Output at Nuclear Power Plant by Neural Networks. 46-49
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  Juan Peralta, Germán Gutiérrez, Araceli Sanchís: Time Series Forecasting by Evolving Artificial Neural Networks Using "Shuffle", Cross-Validation and Ensembles. 50-53
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  Krzysztof Siwek, Stanislaw Osowski, Bartosz Swiderski, Lukasz Mycka: Prediction of Power Consumption for Small Power Region Using Indexing Approach and Neural Network. 54-59
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  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

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  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
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  Tikara Hosino: Bayesian Joint Optimization for Topic Model and Clustering. 77-86
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  Dimitris Tzikas, Aristidis Likas: An Incremental Bayesian Approach for Training Multilayer Perceptrons. 87-96
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  Bartosz Miller: Application of Semi-Bayesian Neural Networks in the Identification of Load Causing Beam Yielding. 97-100
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  Kobra Etminani, Mahmoud Naghibzadeh, Amir Reza Razavi: Globally Optimal Structure Learning of Bayesian Networks from Data. 101-106

Bio Inspired - Spiking ANN

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

Biomedical ANN

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  Vassilis Cutsuridis, Michael E. Hasselmo: Dynamics and Function of a CA1 Model of the Hippocampus during Theta and Ripples. 230-240
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  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
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  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
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  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

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

Feature Selection/Parameter Identification and Dimensionality Reduction

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

Filtering

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  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
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  Meng Li, Yiu-ming Cheung: Automatic Segmentation of Color Lip Images Based on Morphological Filter. 384-387
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  Charles W. Fox, Tony J. Prescott: Learning in a Unitary Coherent Hippocampus. 388-394
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  Manolis G. Vozalis, Angelos I. Markos, Konstantinos G. Margaritis: Collaborative Filtering through SVD-Based and Hierarchical Nonlinear PCA. 395-400

Genetic - Evolutionary Algorithms

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  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
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  Anne M. P. Canuto, Michael C. Fairhurst, Laura Emmanuella A. Santana, Fernando Pintro, Antonino Feitosa Neto: Ensemble-Based Methods for Cancellable Biometrics. 411-414
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  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
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  Sandra García, Ricardo Aler, Inés María Galván: Using Evolutionary Multiobjective Techniques for Imbalanced Classification Data. 422-427
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  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
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  Jacqueline Fairley, George K. Georgoulas, Chrysostomos D. Stylios, David Rye: A Hybrid Approach for Artifact Detection in EEG Data. 436-441
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  Olga Georgiou, Nicolas Tsapatsoulis: Improving the Scalability of Recommender Systems by Clustering Using Genetic Algorithms. 442-449

Image - Video and Audio Processing

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  Nikolaos Mitianoudis: A Directional Laplacian Density for Underdetermined Audio Source Separation. 450-459
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  Anastasios Maronidis, Anastasios Tefas, Ioannis Pitas: Frontal View Recognition Using Spectral Clustering and Subspace Learning Methods. 460-469
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  Dimitris Bolis, Anastasios Maronidis, Anastasios Tefas, Ioannis Pitas: Improving the Robustness of Subspace Learning Techniques for Facial Expression Recognition. 470-479
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  Giannis K. Chantas: Variational Bayesian Image Super-Resolution with GPU Acceleration. 480-489
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  Mauricio Kugler, Takanobu Hishida, Susumu Kuroyanagi, Akira Iwata: A Novel Approach for Hardware Based Sound Localization. 490-499
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  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
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  Toshifumi Sano, Shuichi Matsuzaki, Yasuhiro Wada: Independent Component Analysis of Multi-channel Near-Infrared Spectroscopic Signals by Time-Delayed Decorrelation. 511-520
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  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
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  Dalius Matuzevicius, Arturas Serackis, Dalius Navakauskas: Application of K-Means and MLP in the Automation of Matching of 2DE Gel Images. 541-550
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  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
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  Ahmed A. Othman, Hamid R. Tizhoosh: A Neural Approach to Image Thresholding. 561-564
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  Carlos M. Travieso, Miguel A. Ferrer, Jesús B. Alonso: Bubbles Detection on Sea Surface Images. 565-568
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  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

last updated on Sat May 18 05:00:01 2013 by the dblp team
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