IJCNN 2009:
Atlanta,
Georgia,
USA
International Joint Conference on Neural Networks, IJCNN 2009, Atlanta, Georgia, USA, 14-19 June 2009.
IEEE 2009
- Mohammad Abdollahi, Ehsan Valavi, Hossein Ahmadi Noubari:
Voice-based gender identification via multiresolution frame classification of spectro-temporal maps.
1-4
- Azizi Abdullah, Remco C. Veltkamp, Marco A. Wiering:
Spatial pyramids and two-layer stacking SVM classifiers for image categorization: A comparative study.
5-12
- Rahib Hidayat Abiyev, Okyay Kaynak:
Identification and control of time-varying plants using type-2 fuzzy neural system.
13-19
- Alberto Acerbi, Davide Marocco:
Orienting learning by exploiting sociality: An evolutionary robotics simulation.
20-27
- Brahim Achili, Boubaker Daachi, Arab Ali Chérif, Yacine Amirat:
Combined multi-layer perceptron neural network and sliding mode technique for parallel robots control : An adaptive approach.
28-35
- Tsvi Achler, Dervis C. Vural, Eyal Amir:
Counting objects with biologically inspired regulatory-feedback networks.
36-40
- Tsvi Achler:
Using non-oscillatory dynamics to disambiguate simultaneous patterns.
41-48
- Mathias M. Adankon, Mohamed Cheriet:
Help-training semi-supervised LS-SVM.
49-56
- Paulo J. L. Adeodato, Adrian L. Arnaud, Germano C. Vasconcelos, Rodrigo C. L. V. Cunha, Tarcísio B. Gurgel, Domingos S. M. P. Monteiro:
The role of temporal feature extraction and bagging of MLP neural networks for solving the WCCI 2008 Ford Classification Challenge.
57-62
- Peyman Adibi, Reza Safabakhsh:
Batch linear manifold topographic map with regional dimensionality estimation.
63-70
- Mohamad Javad Aein, Heidar A. Talebi:
Introducing a training methodology for cellular neural networks solving partial differential equations.
71-75
- Alma Y. Alanis, Luis J. Ricalde, Edgar N. Sanchez:
High Order Neural Networks for wind speed time series prediction.
76-80
- Azadeh Alavi, Brenton Cavanagh, Gervase Tuxworth, Adrian Meedeniya, Alan Mackay-Sim, Michael Blumenstein:
Automated classification of dopaminergic neurons in the rodent brain.
81-88
- Luís A. Alexandre, Mark J. Embrechts, Jamathan Linton:
Benchmarking reservoir computing on time-independent classification tasks.
89-93
- Jose Lima Alexandrino, Cleber Zanchettin, Edson Costa de Barros Carvalho Filho:
Hybrid intelligent immune system using Radial Basis Function applied to Time Series Analysis.
94-101
- Jose Lima Alexandrino, George D. C. Cavalcanti, Edson Costa de Barros Carvalho Filho:
Hybrid intelligent system clonart applied to face recognition.
102-107
- Muhamed Syed Ali, Pagavathigounder Balasubramaniam:
Stability analysis of Takagi-Sugeno fuzzy Hopfield neural networks with discrete and distributed time varying delays.
108-113
- Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
Just in time classifiers: Managing the slow drift case.
114-120
- Ahmed M. Allam, Hazem M. Abbas:
Improved security of neural cryptography using don't-trust-my-partner and error prediction.
121-127
- Hasan Al-Marzouqi:
Data Clustering Using a Modified Kuwahara Filter.
128-132
- Victor M. O. Alves, George D. C. Cavalcanti:
Tree Architecture Pattern Distributor: a task decomposition classification approach.
133-140
- Carlos Alzate, Johan A. K. Suykens:
A regularized formulation for spectral clustering with pairwise constraints.
141-148
- Manoel C. Amorim Neto, George D. C. Cavalcanti, Ing Ren Tsang:
Financial time series prediction using exogenous series and combined neural networks.
149-156
- Razvan Andonie, Levente Fabry-Asztalos, Bogdan Crivat, Sarah Abdul-Wahid, Badi Abdul-Wahid:
Fuzzy ARTMAP rule extraction in computational chemistry.
157-163
- Kofi Appiah, Andrew Hunter, Hongying Meng, Shigang Yue, Mervyn Hobden, Nigel Priestley, Peter Hobden, Cy Pettit:
A binary Self-Organizing Map and its FPGA implementation.
164-171
- Ronaldo R. B. de Aquino, Milde M. S. Lira, Josinaldo B. de Oliveira, Manoel A. Carvalho, Otoni Nóbrega Neto, Givanildo J. de Almeida:
Application of wavelet and neural network models for wind speed and power generation forecasting in a Brazilian experimental wind park.
172-178
- Ronaldo R. B. de Aquino, Jose M. B. Bezerra, Milde M. S. Lira, Gabriela S. M. Santos, Otoni Nóbrega Neto, Carlos Alberto B. de O. Lira:
Combining Artificial Neural Network for diagnosing polluted insulators.
179-183
- Michael A. Arbib:
From Mirror Neurons to Computational Neurolinguistics.
184-190
- Paolo Arena, Sebastiano De Fiore, Davide Lombardo, Luca Patané:
Emergence of perceptual states in nonlinear lattices: A new computational model for perception.
191-198
- Javad Arif, Nilanjan Ray Chaudhuri, Swakshar Ray, Balarko Chaudhuri:
Online Levenberg-Marquardt algorithm for neural network based estimation and control of power systems.
199-206
- Sameer Ather, Leif E. Peterson, Vijay Divakaran, Anita Deswal, B. Bozkurt, Douglas L. Mann:
Unsupervised cluster analysis and mortality risk in the Digitalis Investigation Group (DIG) trial of heart failure.
207-212
- Davide Bacciu, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa:
Patient stratification with competing risks by multivariate Fisher distance.
213-220
- Seung-Mook Baek, Jung-Wook Park:
Nonlinear controller optimization of a power system based on reduced multivariate polynomial model.
221-228
- Hasan Bagher-Ebadian, Kourosh Jafari-Khouzani, Panayiotis D. Mitsias, Hamid Soltanian-Zadeh, Michael Chopp, James R. Ewing:
Predicting final extent of ischemic infarction using an artificial neural network analysis of multiparametric MRI in patients with stroke.
229-235
- Hasan Bagher-Ebadian, Ramesh Paudyal, Tom Mikkelsen, Quan Jiang, James R. Ewing:
Rapid and direct quantification of longitudinal relaxation time (T1) in look-locker sequences using an adaptive neural network.
236-240
- Xuerui Bai, Dongbin Zhao, Jianqiang Yi:
Coordinated multiple ramps metering based on neuro-fuzzy adaptive dynamic programming.
241-248
- Kevin Bailly, Maurice Milgram:
BISAR: Boosted input selection algorithm for regression.
249-255
- Tao Ban, Youki Kadobayashi, Shigeo Abe:
Sparse kernel feature analysis using FastMap and its variants.
256-263
- Alan J. Barton, Julio J. Valdés, Robert Orchard:
Learning the neuron functions within a neural network via Genetic Programming: Applications to geophysics and hydrogeology.
264-271
- Hamidreza Bayati, Shahabeddin Vahdat, Bijan Vosoughi Vahdat:
Investigating the properties of optimal sensory and motor synergies in a nonlinear model of arm dynamics.
272-279
- Derek Beaton, Iren Valova, Daniel MacLean:
Growing mechanisms and cluster identification with TurSOM.
280-287
- Derek Beaton, Iren Valova, Daniel MacLean:
TurSOM: A Turing inspired Self-Organizing Map.
288-295
- Timothy Bender, V. Scott Gordon, Michael Daniels:
Partitioning strategies for modular neural networks.
296-301
- Simon Bernard, Laurent Heutte, Sébastien Adam:
On the selection of decision trees in Random Forests.
302-307
- Abdul Aziz Bhatti:
A minimum interconnection direct storage model of a neural bidirectional memory.
308-315
- Abdul Aziz Bhatti:
A model of an intraconnected neural parallel bidirectional memory.
316-323
- Abdul Aziz Bhatti:
Comparison of an efficient direct storage BAM model with traditional neural bidirectional memories.
324-331
- Ida Bifulco, Carmine Fedullo, Francesco Napolitano, Giancarlo Raiconi, Roberto Tagliaferri:
Global optimization, Meta Clustering and consensus clustering for class prediction.
332-339
- Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi:
Partial logistic artificial neural networks (PLANN) for flexible modeling of censored survival data.
340-346
- Sodia Blad, David Larsson, Nick Outram, Karl G. Rosen:
Assessment of fetal reactivity biopatterns during labour by fetal ECG analysis.
347-352
- Alan Blair, Guanzhong Li:
Training of recurrent Internal Symmetry Networks by backpropagation.
353-358
- Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
A combination of discretization and filter methods for improving classification performance in KDD Cup 99 dataset.
359-366
- Roman Borisyuk, David Chik, Yakov B. Kazanovich:
Partial synchronization of neural activity and information processing.
367-374
- Alexander Borzenko:
Neuron mechanism of human languages.
375-382
- Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Elbert E. N. Macau:
Chaotic phase synchronization for visual selection.
383-390
- Dominic Palmer-Brown, Chrisina Draganova, Sin Wee Lee:
Snap-drift neural network for selecting student feedback.
391-398
- N. Andrew Browning, Stephen Grossberg, Ennio Mingolla:
A neural model of visually-guided navigation in a cluttered world.
399-400
- Daniel Bullock, Can Ozan Tan:
Computational implications of microcircuit specializations in forebrain circuits for motivated action selection.
401-407
- Thomas Burwick:
Temporal coding: Competition for coherence and new perspectives on assembly formation.
408-417
- Feng Cai, Vladimir Cherkassky:
SVM+ regression and multi-task learning.
418-424
- Qiao Cai, Haibo He, Hong Man:
SOMSO: A self-organizing map approach for spatial outlier detection with multiple attributes.
425-431
- Pascual Campoy:
Dimensionality reduction by self organizing maps that preserve distances in output space.
432-438
- Yuan Cao, Haibo He, Rajarathnam Chandramouli:
A novel portfolio optimization method for foreign currency investment.
439-445
- Yuan Cao, Haibo He, Xiaoping Shen:
DensityRank: A novel feature ranking method based on kernel estimation.
446-453
- Gail A. Carpenter:
Large-scale neural systems for vision and cognition.
454-459
- Rocio Carrasco, Edgar N. Sanchez, Catherine Cadet:
Neuronal network identification of a wastewater treatment prototype.
460-466
- Pablo A. D. Castro, Fernando J. Von Zuben:
Learning Bayesian networks to perform feature selection.
467-473
- Mario Ignacio Chacon Murguia, Gonzalez D. Sergio, Javier Vega-Pineda:
Simplified SOM-neural model for video segmentation of moving objects.
474-480
- Goutam Chakraborty, Basabi Chakraborty, Jagdish Chandra Patra, Chotipat Pornavalai:
An MLP-based face authentication technique robust to orientation.
481-488
- Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
A regression model with a hidden logistic process for feature extraction from time series.
489-496
- Shanmuganathan Chandrakala, Chellu Chandra Sekhar:
Combination of generative models and SVM based classifier for speech emotion recognition.
497-502
- Sylvain Chartier, Gyslain Giguère, Dominic Langlois, Rana Sioufi:
Bidirectional Associative Memories, Self-Organizing Maps and k-Winners-Take-All: Uniting feature extraction and topological principles.
503-510
- Miguel Perez Chavariar, Carlos Mejia, Cecile Mallet, Michel Crépon, Fouad Badran, Sylvie Thiria:
Rain rate retrieval by processing the observations of the 85V and 85H GHz channels of the SSM/I and TMI passive microwave sensors.
511-517
- Qihong Chen, Shuhai Quan, Changjun Xie:
Nonlinear predictive control for oxygen supply of a fuel cell system.
518-521
- Sheng Chen, Haibo He:
SERA: Selectively recursive approach towards nonstationary imbalanced stream data mining.
522-529
- Songjie Chen, Yang Yang, Sivasubramanya N. Balakrishnan, Nhan T. Nguyen, Kalmanje Krishnakumar:
SNAC convergence and use in adaptive autopilot design.
530-537
- Long Cheng, Zeng-Guang Hou, Noriyasu Homma, Min Tan, Madan M. Gupta:
Solving convex optimization problems using recurrent neural networks in finite time.
538-543
- Vladimir Cherkassky, Feng Cai, Lichen Liang:
Predictive learning with sparse heterogeneous data.
544-551
- Chi-Chung Cheung, Sin Chun Ng:
The multi-phase method in fast learning algorithms.
552-559
- Soukeina Ben Chikha, Kirmene Marzouki:
A behavioral study of learning in standard SOM and in S-SOM.
560-565
- Minkook Cho, Hyeyoung Park:
Nonlinear dimension reduction using ISOMap based on class information.
566-570
- Ji Ryang Chung, Jaerock Kwon, Yoonsuck Choe:
Evolution of recollection and prediction in neural networks.
571-577
- Ryan Cleaver, Ganesh K. Venayagamoorthy:
Learning nonlinear functions with MLPs and SRNs.
578-585
- Fengyu Cong, Zhilin Zhang, Igor Kalyakin, Tiina Huttunen-Scott, Heikki Lyytinen, Tapani Ristaniemi:
Non-negative matrix factorization Vs. FastICA on mismatch negativity of children.
586-590
- Juan Jose Cordova, Wen Yu:
Stable fourier neural networks with application to modeling lettuce growth.
591-596
- Sathya Costagliola, Bernardo Dal Seno, Matteo Matteucci:
Recognition and classification of P300s in EEG signals by means of feature extraction using wavelet decomposition.
597-603
- Mark A. Cowan, Cary D. Butler:
Using input-space bisection and backpropagation as a method to emulate complex numerical simulations for design decision making.
604-611
- Paolo Crippa, Francesco Gianfelici, Claudio Turchetti:
Information theoretical algorithm based on statistical models for blind identification of nonstationary dynamical systems.
612-618
- Sven F. Crone, Nikolaos Kourentzes:
Input-variable specification for Neural Networks - An analysis of forecasting low and high time series frequency.
619-626
- Rossana M. S. Cruz, Paulo H. da F. Silva, Adailo G. D'Assuncao:
Synthesis of crossed dipole frequency selective surfaces using genetic algorithms and artificial neural networks.
627-633
- Jing Dai, Ganesh K. Venayagamoorthy, Ronald G. Harley:
Harmonic identification using an Echo State Network for adaptive control of an active filter in an electric ship.
634-640
- Heydar Davoudi, Ali Taalimi, Emad Fatemizadeh:
Extracting activated regions of fMRI data using unsupervised learning.
641-645
- Sergio Decherchi, Paolo Gastaldo, Mauro Parodi, Rodolfo Zunino:
Circuit implementation of SVM training.
646-651
- Sergio Decherchi, Paolo Gastaldo, Judith Redi, Rodolfo Zunino:
Maximal-discrepancy bounds for regularized classifiers.
652-656
- James M. DeLeo, Carl Leonard, Anne E. Sumner:
Constructing clinical scoring systems to determine the need for an oral glucose tolerance test.
657-662
- Emílio Del Moral Hernandez, Humberto Sandmann, Gleison Araujo:
Context dependent pattern recognition - A framework for hybrid architectures bridging chaotic neural networks based on Recursive Processing Elements and symbolic information.
663-670
- Rustu Murat Demirer, Robert Kozma, Mert Çaglar, Yasar Polatoglu:
A new nonlinear filter design for the detection of phase transitions in ECoG data.
671-676
- Priyanka Desai, Sreela Sasi, Manoj Kumar Prabhakaran:
Vision based Injector Spray pattern Testing system.
677-682
- Robert Desimone:
Neural synchrony and selective attention.
683-684
- Gianluca Di Muro, Silvia Ferrari:
A constrained backpropagation approach to solving Partial Differential Equations in non-stationary environments.
685-689
- Alessandro G. Di Nuovo, Santo Di Nuovo, Serafino Buono, Vincenzo Catania:
Feedforward artificial neural network to estimate iq of mental retarded people from different psychometric instruments.
690-696
- Daniel B. Dias, Renata C. B. Madeo, Thiago Rocha, Helton Hideraldo Bíscaro, Sarajane Marques Peres:
Hand movement recognition for Brazilian Sign Language: A study using distance-based neural networks.
697-704
- Kyle B. Dickerson, Dan Ventura:
Music recommendation and query-by-content using Self-Organizing Maps.
705-710
- Travis Dierks, Balaje T. Thumati, Sarangapani Jagannathan:
Adaptive dynamic programming-based optimal control of unknown affine nonlinear discrete-time systems.
711-716
- A. D. Dileep, Chellu Chandra Sekhar:
Representation and feature selection using multiple kernel learning.
717-722
- Simona Doboli, Vincent R. Brown, Ali A. Minai:
A conceptual neural model of idea generation.
723-729
- Ryanne Dolan, Guilherme N. DeSouza:
GPU-based simulation of cellular neural networks for image processing.
730-735
- Franck Dufrenois, Jean-Charles Noyer:
A kernel hat matrix based rejection criterion for outlier removal in support vector regression.
736-743
- Hazem M. El-Bakry, Nikos E. Mastorakis:
A simple design and implementation of reconfigurable neural networks.
744-750
- Hazem M. El-Bakry, Mohamed Hamada:
Fast principal component analysis for face detection using cross-correlation and image decomposition.
751-756
- Hazem M. El-Bakry:
Fast record detection in large databases using new high speed time delay neural networks.
757-763
- David A. Elizondo, Ralph Birkenhead, Matías Gámez, Noelia García Rubio, Esteban Alfaro Cortés:
Estimation of classification complexity.
764-770
- Ryan Elwell, Robi Polikar:
Incremental learning in nonstationary environments with controlled forgetting.
771-778
- Wael Emara, Mehmed M. Kantardzic:
Local properties of RBF-SVM during training for incremental learning.
779-786
- Péter Érdi:
Lessons from complex systems modeling: Crisis, innovation, decision making.
787-788
- Pablo A. Estévez, Andrés M. Chong:
A robust nonlinear projection method using the neural gas network.
789-796
- Nastaran Farahmand, Mir Hossein Dezfoulian, Hossein GhiasiRad, Alireza Mokhtari, Ali Nouri:
Online temporal pattern learning.
797-802
- Bruno J. T. Fernandes, George D. C. Cavalcanti, Ing Ren Tsang:
A receptive field based approach for face detection.
803-810
- Aida A. Ferreira, Teresa Bernarda Ludermir:
Genetic algorithm for reservoir computing optimization.
811-815
- Ednaldo J. Ferreira, Alexandre C. B. Delbem, Roseli Romero, Osvaldo N. Oliveira:
Random subspaces of the instance and principal component spaces for ensembles.
816-819
- Juan Figueredo, Janatan Gomez:
Applying neural fields to the stability problem of an inverted pendulum as a simple biped walking model.
820-827
- Simone Fiori, Toshihisa Tanaka:
Learning averages over the lie group of symmetric positive-definite matrices.
828-832
- Simone Fiori:
Learning averages over the lie group of unitary matrices.
833-837
- Dominik Fisch, Bernhard Sick:
Training of radial basis function classifiers with resilient propagation and variational Bayesian inference.
838-847
- Alexandru G. Floares:
A neural networks algorithm for inferring drug gene regulatory networks from microarray time-series with missing transcription factors information.
848-854
- Alexandru G. Floares:
Intelligent clinical decision supports for interferon treatment in chronic hepatitis C and B based on i-biopsyTM.
855-860
- Komla A. Folly, Ganesh K. Venayagamoorthy:
Effects of learning rate on the performance of the population based incremental learning algorithm.
861-868
- José F. Fontanari, Vadim Tikhanoff, Angelo Cangelosi, Leonid I. Perlovsky:
A cross-situational algorithm for learning a lexicon using Neural modeling fields.
869-876
- Alejandro Foullon-Perez, Simon M. Lucas:
Orientational features with the SNT-grid.
877-881
- Walter J. Freeman:
Cortical mechanisms of memory formation and readout.
882-889
- Antonino Freno, Edmondo Trentin, Marco Gori:
Scalable statistical learning: A modular bayesian/markov network approach.
890-897
- Hong Fu, Shuya Zhang, Zheru Chi, David Dagan Feng, Xiaoyu Zhao:
Tree structures with attentive objects for image classification using a neural network.
898-902
- Si-Yao Fu, Guosheng Yang, Zeng-Guang Hou:
LS-SVM based neural controller as optimized by particle swarm algorithm using dual heuristic dynamic programming.
903-908
- Rita Fuentes, Alexander S. Poznyak, Isaac Chairez, Tatyana Poznyak:
Neural numerical modeling for uncertain distributed parameter systems.
909-916
- Alejandro Garcia, Isaac Chairez, Alexander S. Poznyak, Tatyana Poznyak:
Robust identification of uncertain nonlinear systems with state constrains by Differential Neural Networks.
917-924
- Ramon Garcia-Hernandez, Edgar N. Sanchez, Maarouf Saad, Eduardo Bayro-Corrochano:
Discrete-time decentralized neural block controller for a five DOF robot manipulator.
925-931
- Rodolfo García-Rodríguez, Pablo Zegers, Vicente Parra-Vega:
Bounded-time system identification under neuro-sliding training.
932-937
- Beatriz Aurora Garro Licon, Juan Humberto Sossa Azuela, Roberto Antonio Vázquez:
Design of artificial neural networks using a modified Particle Swarm Optimization algorithm.
938-945
- Eduardo Gasca, Juan H. Pacheco, Fernando Alvarez:
Neural networks for fitting PES data distributions of asphaltene interaction.
946-952
- Adam E. Gaweda:
Improving management of Anemia in End Stage Renal Disease using Reinforcement Learning.
953-958
- George K. Georgoulas, Voula C. Georgopoulos, George Stylios, Chrysostomos D. Stylios:
Detection of articulation disorders using Empirical Mode Decomposition and neural networks.
959-964
- Madhumala Ghosh, Aruna Chakraborty, Ayan Acharya, Amit Konar, Bijaya K. Panigrahi:
A recurrent neural model for parameter estimation of mixed emotions from facial expressions of the subjects.
965-972
- Soumya Ghosh, Soundararajan Srinivasan, Burton Andrews:
Using weak supervision in learning Gaussian mixture models.
973-979
- Gecynalda S. da S. Gomes, Teresa Bernarda Ludermir, Leandro M. Almeida:
Neural networks with asymmetric activation function for function approximation.
980-987
- V. Scott Gordon, Michael Daniels, James Boheman, Marcus Watstein, Derek Goering, B. Urban:
Visualization tool for a Self-Splitting modular Neural Network.
988-993
- Mihajlo Grbovic, Slobodan Vucetic:
Learning Vector Quantization with adaptive prototype addition and removal.
994-1001
- Stephen Grossberg:
View-invariant object category learning, attention, recognition, search, and scene understanding.
1002-1004
- Nistor Grozavu, Younès Bennani, Mustapha Lebbah:
From variable weighting to cluster characterization in topographic unsupervised learning.
1005-1010
- Beata Grzyb, Eris Chinellato, Grzegorz M. Wojcik, Wieslaw A. Kaminski:
Facial expression recognition based on Liquid State Machines built of alternative neuron models.
1011-1017
- Beata Grzyb, Eris Chinellato, Grzegorz M. Wojcik, Wieslaw A. Kaminski:
Which model to use for the Liquid State Machine?
1018-1024
- Cengiz Günay, Astrid A. Prinz:
Finding sensors for homeostasis of biological neuronal networks using artificial neural networks.
1025-1032
- Haixiang Guo, Lanlan Li, Kejun Zhu, Chang Ding:
Application of PSO and MPSO in project scheduling of the first mining face in coal mining.
1033-1040
- Wei Guo, Liqing Zhang:
Temporal competitive learning induced in neural networks by spike timing-dependent plasticity.
1041-1046
- Ankur Gupta:
Detecting load conditions in human walking using expectation maximization and neural networks.
1047-1053
- Ankur Gupta, Lyle N. Long:
Hebbian learning with winner take all for spiking neural networks.
1054-1060
- Gurunath Gurrala, Radhakant Padhi, Indraneel Sen:
Power System Stability enhancement by Single Network Adaptive Critic Stabilizers.
1061-1066
- Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Juan Carlos Fernández:
MultiLogistic Regression using Initial and Radial Basis Function covariates.
1067-1074
- Donghyeop Han, Heeyoul Choi, Choonseog Park, Yoonsuck Choe:
Fast and accurate retinal vasculature tracing and kernel-Isomap-based feature selection.
1075-1082
- Min Han, Jianchao Fan, Bing Han:
An Adaptive dynamic evolution feedforward neural network on modified particle swarm optimization.
1083-1089
- Min Han, Yanan Wang:
Nonlinear time series online prediction using reservoir kalman filter.
1090-1094
- Daichi Hanagaki, Yuko Osana:
Similarity-based image retrieval considering artifacts by self-organizing map with refractoriness.
1095-1100
- Sebastian Handrich, Andreas Herzog, Andreas Wolf, Christoph S. Herrmann:
Prerequisites for integrating unsupervised and reinforcement learning in a single network of spiking neurons.
1101-1106
- Taku Haraguchi, Haruna Matsushita, Yoshifumi Nishio:
Community self-organizing map and its application to data extraction.
1107-1114
- Moufid Harb, Rami S. Abielmona, Emil M. Petriu:
Speed control of a mobile robot using neural networks and fuzzy logic.
1115-1121
- Mohammed A. Hasan:
Families of orthonormalization algorithms.
1122-1127
- Mohammed A. Hasan:
On multi-set canonical correlation analysis.
1128-1133
- Sho Hashimoto, Hiroyuki Torikai:
Bifurcation analysis of a reconfigurable hybrid spiking neuron and its novel online learning algorithm.
1134-1141
- Hassab Elgawi Osman:
A binary classification and online vision.
1142-1148
- Hado van Hasselt, Marco A. Wiering:
Using continuous action spaces to solve discrete problems.
1149-1156
- S. Riaz ul Hassnain, Azzam ul Asar, Farah Mahmood:
Performance of STLF model from the PSO, time series and regression perspectives.
1157-1162
- Chao-Hui Huang, Wee Kheng Leow, Daniel Racoceanu:
A Cellular Neural Network as a Principal Component Analyzer.
1163-1170
- Hirotomo Hayashi, Qiangfu Zhao:
Model reduction of neural network trees based on dimensionality reduction.
1171-1176
- Hongmei He, Jonathan Lawry:
A linguistic CMAC equivalent to a Linguistic Decision Tree for classification.
1177-1183
- Michael J. Healy, Thomas P. Caudell:
Temporal semantics: An extended definition for neural morphisms.
1184-1191
- Sébastien Hélie, F. Gregory Ashby:
A neurocomputational model of automaticity and maintenance of abstract rules.
1192-1198
- Sébastien Hélie, Ron Sun:
Simulating incubation effects using the Explicit Implicit Interaction with Bayes Factor (EII-BF) model.
1199-1205
- Gyeongyong Heo, Paul D. Gader:
Learning the number of gaussian components using hypothesis test.
1206-1212
- Gyeongyong Heo, Paul D. Gader, Hichem Frigui:
Robust kernel PCA using fuzzy membership.
1213-1220
- Raul Acosta Hernandez, Marius Strum, Wang Jiang Chau, Jose Artur Quilici Gonzalez:
The Multiple Pairs SMO: A modified SMO algorithm for the acceleration of the SVM training.
1221-1228
- Herve Le Guen, Moga Sorin:
A model of cooperative agent based on imitation and Maslow's Pyramid of needs.
1229-1236
- Akira Hirose:
Complex-valued neural networks: The merits and their origins.
1237-1244
- Honggui Han, Junfei Qiao:
A novel pruning algorithm for self-organizing neural network.
1245-1250
- Haruo Hosoya:
A motor learning neural model based on Bayesian network and reinforcement learning.
1251-1258
- Chih-Hung Hsieh, Darby Tien-Hao Chang, Yen-Jen Oyang:
Data classification with a generalized Gaussian components based density estimation algorithm.
1259-1266
- Hwa-Shan Huang, Nikhil R. Pal, Li-Wei Ko, Chin-Teng Lin:
Automatic identification of useful independent components with a view to removing artifacts from eeg signal.
1267-1271
- Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell:
Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data.
1272-1277
- Kou-Jen Huang, Kou-Yuan Huang, Luke K. Wang, Ying-Liang Chou, Yueh-Hsun Hsieh, Shan-Chih Hsieh:
Simulated annealing for pattern detection and seismic analysis.
1278-1285
- Xi Huang, Ying Tan, Xingui He:
An intelligent multi-feature statistical approach for discrimination of driving conditions of hybrid electric vehicle.
1286-1293
- Yaping Huang, Jiali Zhao, Mei Tian, Qi Zou, Siwei Luo:
Slow Feature Discriminant Analysis and its application on handwritten digit recognition.
1294-1297
- Zsófia Huhn, Zoltán Somogyvári, Tamás Kiss, Péter Érdi:
Extraction of distance information from the activity of entorhinal grid cells: a model study.
1298-1303
- Vu Thi Lan Huong, Dong-Chul Park, Yunsik Lee:
Centroid neural network for face recognition.
1304-1309
- Vu Thi Lan Huong, Dong-Chul Park, Dong-Min Woo, Yunsik Lee:
Centroid neural network with Chi square distance measure for texture classification.
1310-1315
- Thuan Q. Huynh, James A. Reggia:
Improving rule extraction from neural networks by modifying hidden layer representations.
1316-1321
- Alexander Ilin, Alexey Kaplan:
Bayesian PCA for reconstruction of historical sea surface temperatures.
1322-1327
- Roman Ilin, Robert Kozma:
Sensor integration in KIV brain model for decision making.
1328-1334
- Takashi Inoue, Yoshifumi Nishio:
Applications of color image processing using three-layer cellular neural network considering HSB model.
1335-1342
- Jason C. Isaacs:
Stochastic orthogonal and nonorthogonal subspace basis pursuit.
1343-1348
- Abraham K. Ishihara, Shahar Ben-Menahem, Nhan Nguyen:
Protection ellipsoids for stability analysis of feedforward neural-net controllers.
1349-1356
- Tanvir Islam, Yoko Yamaguchi:
Representation of an environmental space by grid fields: A study with a computational model of the grid cell based on a column structure.
1357-1364
- Teijiro Isokawa, Haruhiko Nishimura, Nobuyuki Matsui:
An iterative learning scheme for multistate complex-valued and quaternionic Hopfield neural networks.
1365-1371
- Serena Ivaldi, Marco Baglietto, Franco Davoli, Riccardo Zoppoli:
Optimal control of communication in energy constrained sensor networks through team theory and Extended RItz Method.
1372-1379
- Laxmi R. Iyer, Ali A. Minai, Vincent R. Brown, Paul B. Paulus, Simona Doboli:
Effects of relevant and irrelevant primes on idea generation: A computational model.
1380-1387
- Hamid Izadinia, Fereshteh Sadeghi, Mohammad Mehdi Ebadzadeh:
A Hybrid Fuzzy Neuro-Immune Network based on Multi-Epitope approach.
1388-1393
- Brijnesh J. Jain, Klaus Obermayer:
Bimal: Bipartite matching alignment for the contact map overlap problem.
1394-1400
- Brijnesh J. Jain, Brijnesh Stehr, Michael Lappe, Klaus Obermayer:
Multiple alignment of contact maps.
1401-1406
- Derek James, Anthony S. Maida:
Sequential hierarchical recruitment learning in a network of spiking neurons.
1407-1413
- Marko V. Jankovic, Masashi Sugiyama:
Probabilistic principal component analysis based on JoyStick Probability Selector.
1414-1421
- Girish K. Jha, Parimala Thulasiraman, Ruppa K. Thulasiram:
PSO based neural network for time series forecasting.
1422-1427
- Yulei Jiang, Richard M. Zur, Lorenzo L. Pesce, Karen Drukker:
A study of the effect of noise injection on the training of artificial neural networks.
1428-1432
- Ghassan Omar Jibril, Marifi Guler:
The renormalization of neuronal dynamics can enhance temporal synchronization among synaptically coupled neurons.
1433-1438
- Raghavender R. Jillela, Arun Ross:
Adaptive frame selection for improved face recognition in low-resolution videos.
1439-1445
- Jin Zhang, Shangwu Zhu, Rulong Wang, Guang Li, Walter J. Freeman:
A new method to generate color texture images based on HSV and olfactory system bionic model.
1446-1449
- Cameron Johnson, Ganesh K. Venayagamoorthy, Pinaki Mitra:
Online identification of generator dynamics in a multimachine power system with a spiking neural network.
1450-1455
- Prashant Joshi, Jochen Triesch:
Rules for information maximization in spiking neurons using intrinsic plasticity.
1456-1461
- Quan Ju, Simon O'Keefe, Jim Austin:
Binary neural network based 3D facial feature localization.
1462-1469
- Jun-Fei Qiao, Miao Li, Hong-Gui Han:
A self-organizing neural network using fast training and pruning.
1470-1475
- Shutaro Kabeya, Tohru Abe, Toshimichi Saito:
A GA-based flexible learning algorithm with error tolerance for digital binary neural networks.
1476-1480
- Sukumar Kamalasadan, Gerald D. Swann:
An intelligent hybrid controller for speed control and stabilization of synchronous generator.
1481-1488
- Sukumar Kamalasadan, Gerald D. Swann, Adel A. Ghandakly:
An intelligent paradigm for electric generator control based on supervisory loops.
1489-1496
- Ryotaro Kamimura:
Selective enhancement learning in competitive learning.
1497-1502
- Ryotaro Kamimura:
Self-enhancement learning: Self-supervised and target-creating learning.
1503-1509
- Kesav Kancherla, Srinivas Mukkamala:
Video steganalysis using motion estimation.
1510-1515
- Jeong-Gwan Kang, Su-Yong An, Sunhyo Kim, Se-Young Oh:
Sonar based Simultaneous Localization and Mapping using a Neuro Evolutionary Optimization.
1516-1523
- Bernhard Kaplan, Daniel Brüderle, Johannes Schemmel, Karlheinz Meier:
High-conductance states on a neuromorphic hardware system.
1524-1530
- Vassilios A. Kappatos, George K. Georgoulas, Chrysostomos D. Stylios, Evangelos Dermatas:
Evolutionary dimensionality reduction for crack localization in ship structures using a hybrid computational intelligent approach.
1531-1538
- Eva Kaslik:
Dynamics of a discrete-time bidirectional ring of neurons with delay.
1539-1546
- John Kassab, Santosh Nagaraj:
Adaptive modulation in an OFDM communications system with artificial neural networks.
1547-1551
- Masakazu Kawahara, Takashi Inoue, Yoshifumi Nishio:
Cellular neural network with dynamic template and its output characteristics.
1552-1558
- Yusuke Kawashima, Daisuke Atuti, Kazuki Nakada, Masato Okada, Takashi Morie:
Coarse image region segmentation using region-and boundary-based coupled MRF models and their PWM VLSI implementation.
1559-1565
- Vojislav Kecman, Tao Yang:
Adaptive Local Hyperplane for regression tasks.
1566-1570
- Zahra Khalili, Mohammad Hasan Moradi:
Emotion recognition system using brain and peripheral signals: Using correlation dimension to improve the results of EEG.
1571-1575
- Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Constructing prediction intervals for neural network metamodels of complex systems.
1576-1582
- Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Developing optimal neural network metamodels based on prediction intervals.
1583-1589
- Reza Khosrowabadi, Abdul Wahab, Kai Keng Ang, Mohammad H. Baniasad:
Affective computation on EEG correlates of emotion from musical and vocal stimuli.
1590-1594
- Peerapol Khunarsal, Chidchanok Lursinsap, Thanapant Raicharoen:
Singing voice recognition based on matching of spectrogram pattern.
1595-1599
- Andrew Kilinga Kikombo, Tetsuya Asai, Takahide Oya, Alexandre Schmid, Yusuf Leblebici, Yoshihito Amemiya:
A pulse-density modulation circuit exhibiting noise shaping with single-electron neurons.
1600-1605
- Jae-Young Kim, Dong-Chul Park:
Application of Bhattacharyya kernel-based Centroid Neural Network to the classification of audio signals.
1606-1610
- Tae-Hyung Kim, Larry D. Pyeatt, Donald C. Wunsch:
Reconfigurable disruption tolerant routing via Reinforcement Learning.
1611-1616
- Shuhei Kimura, Yuichi Shiraishi, Mariko Hatakeyama:
Inference of genetic networks using linear programming machines: Application of a priori knowledge.
1617-1624
- Irwin King, Jiexing Li, Kam Tong Chan:
A brief survey of computational approaches in Social Computing.
1625-1632
- Mikhail V. Kiselev:
Self-organized spiking neural network recognizing phase/frequency correlations.
1633-1639
- Takuya Kitamura, Shigeo Abe, Kazuhiro Fukui:
Subspace based least squares support vector machines for pattern classification.
1640-1646
- Edgar Koerner:
Brain-like intelligence inside - Towards autonomously interacting systems.
1647-1648
- Ryo Kosaka, Yuko Osana:
Identification of artifacts in scenery images using color and line information by RBF network.
1649-1654
- Hiroshi Koshimizu, Toshimichi Saito:
Parallel ant colony optimizers with local and global ants.
1655-1659
- Boris Kovalerchuk, Leonid I. Perlovsky:
Fusion and mining spatial data in cyber-physical space with Dynamic Logic of Phenomena.
1660-1667
- Vladimir M. Krasnopolsky, Stephen J. Lord, Shrinivas Moorthi, Todd Spindler:
How to deal with inhomogeneous outputs and high dimensionality of neural network emulations of model physics in numerical climate and weather prediction models.
1668-1673
- Shigeru Kubota, Tatsuo Kitajima:
How balance between LTP and LTD can be controlled in spike-timing-dependent learning rule.
1674-1679
- Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy:
Neural network based secure media access control protocol for wireless sensor networks.
1680-1687
- Mikael Kuusela, Tapani Raiko, Antti Honkela, Juha Karhunen:
A gradient-based algorithm competitive with variational Bayesian EM for mixture of Gaussians.
1688-1695
- Lucas K. C. Lai, James N. K. Liu:
A neural network and CBR-based model for Sewing Minute Value.
1696-1701
- Man Lan, Yu Xu, Lin Li, Fei Wang, Ying Zuo, Yuan Chen, Chew Lim Tan, Jian Su:
CpG-discover: A machine learning approach for CpG islands identification from human DNA sequence.
1702-1707
- Yuan Lan, Yeng Chai Soh, Guang-Bin Huang:
A constructive enhancement for Online Sequential Extreme Learning Machine.
1708-1713
- Valentina Lanza, Fernando Corinto, Marco Gilli:
Diffusive coupled cyclic negative feedback systems.
1714-1721
- Carl Latino, Marco A. Moreno-Armendariz, Martin T. Hagan:
Realizing general MLP networks with minimal FPGA resources.
1722-1729
- Hong Lee, Brijesh Verma:
Binary Segmentation with Neural Validation for Cursive Handwriting Recognition.
1730-1735
- Daniel Leite, Pyramo Costa Jr., Fernando Gomide:
Evolving granular classification neural networks.
1736-1743
- Mauricio U. Leiva, Tomás Vidal Arredondo, Diego Candel, Lioubov Dombrovskaia, Loreine Agulló, Michael Seeger, Félix Vásquez:
Feed-forward Artificial Neural Network based inference system applied in bioinformatics data-mining.
1744-1749
- George G. Lendaris:
A retrospective on Adaptive Dynamic Programming for control.
1750-1757
- Siyu Leng, Wenxin Liu, Il-Yop Chung, David A. Cartes, Chris S. Edrington:
Design, modeling, and position control of a single-phase reluctance machine.
1758-1763
- Sylvain Lespinats, Anke Meyer-Bäse, Frank Steinbrücker, Thomas Schlossbauer:
Evaluation and visual exploratory analysis of DCE-MRI Data of breast lesions based on morphological features and novel dimension reduction methods.
1764-1770
- Daniel S. Levine:
Executive function, rule selection, and probability judgment.
1771-1776
- William B. Levy, Kai S. Chang, Andrew G. Howe:
Progressively introducing quantified biological complexity into a hippocampal CA3 model.
1777-1783
- Boyang Li, Qiangwei Wang, Jinglu Hu:
A fast SVM training method for very large datasets.
1784-1789
- Yongtao Li, Shuhei Kurata, Ryosuke Yoshinaka, Shigetoshi Nara:
Chaotic dynamics in quasi-layered recurrent neural network model and application to complex control via simple rule.
1790-1796
- Sheng-Fu Liang, Chi-Sheng Liu, Wan-Lin Chang, Yu-Hsiang Tsao, Li-Wei Ko, Chin-Teng Lin:
Assessment of musical training induced neuroplasticity by auditory event related potentials and neural networks.
1797-1801
- Naiyan Hari Cândido Lima, Adrião Duarte Dória Neto, Jorge Dantas de Melo:
Creating an ensemble of diverse support vector machines using Adaboost.
1802-1806
- Wei-Song Lin, Jih-Wen Sheu:
Neuro-dynamic programming with recurrent critic for automatic train regulation of metro line.
1807-1813
- Xiaofeng Lin, Jiaran Yang, Huixia Liu, Shaojian Song, Chunning Song:
An improved method of DHP for optimal control in the clarifying process of sugar cane juice.
1814-1819
- Ondrej Linda, Milos Manic:
GNG-SVM framework - classifying large datasets with Support Vector Machines using Growing Neural Gas.
1820-1826
- Ondrej Linda, Todd Vollmer, Milos Manic:
Neural Network based Intrusion Detection System for critical infrastructures.
1827-1834
- Ralph Linsker:
Neural learning of Kalman filtering, Kalman control, and system identification.
1835-1842
- Bing Liu, Mingjie Qian:
A speed-up algorithm for Poisson Propagation.
1843-1848
- Derong Liu, Ning Jin:
Adaptive dynamic programming for discrete-time systems with infinite horizon and ELEMENT OF -error bound in the performance cost.
1849-1854
- Jindong Liu, David Perez-Gonzalez, Adrian Rees, Harry R. Erwin, Stefan Wermter:
A biomimetic spiking neural network of the auditory midbrain for mobile robot sound localisation in reverberant environments.
1855-1862
- Yi-Hung Liu, Yan-Chen Liu:
Reducing the run-time complexity of support vector data descriptions.
1863-1870
- Zhiming Liu, Qingchuan Tao:
Face Recognition using new image representations.
1871-1876
- Aleksander Lodwich, Yves Rangoni, Thomas M. Breuel:
Evaluation of robustness and performance of Early Stopping Rules with Multi Layer Perceptrons.
1877-1884
- András Lörincz, Gábor Szirtes:
Autoregressive model of the hippocampal representation of events.
1885-1892
- Xuyang Lou, Ruliang Wang, Baotong Cui:
Boundedness and stability for the solutions of impulsive neural networks with time-varying delay.
1893-1899
- Rita Lovassy, László T. Kóczy, László Gál:
Function approximation capability of a novel fuzzy flip-flop based neural network.
1900-1907
- Christopher T. Lovelace, Reza Derakhshani, Sriram Pavan K. Tankasala, Diane L. Filion:
Classification of startle eyeblink metrics using neural networks.
1908-1914
- Jorge de-J. Lozoya-Santos, Rubén Morales-Menéndez, Ricardo Ramírez-Mendoza:
Design of experiments for MR damper modelling.
1915-1922
- Bipul Luitel, Ganesh K. Venayagamoorthy:
A PSO with quantum infusion algorithm for training Simultaneous Recurrent Neural Networks.
1923-1930
- Andrew Luk, Sandra Lien:
Effects of widely separated clusters on lotto-type competitive learning with particle swarm features.
1931-1938
- Jia Ma, Tao Yang, Zeng-Guang Hou, Min Tan:
Neural network disturbance observer based controller of an electrically driven stewart platform using backstepping for active vibration isolation.
1939-1944
- Xiaohong Ma, Yan Qin, Hualou Liang:
A novel audio color watermarking scheme based on self-organizing map.
1945-1952
- Sanjeev S. Malalur, Michael T. Manry:
Feed-forward network training using optimal input gains.
1953-1960
- A. G. Malliaris, Mary Malliaris:
Time series and neural networks comparison on gold, oil and the euro.
1961-1967
- Mohsen Malmir, Saeed Shiry:
Class specific redundancies in natural images: A theory of extrastriate visual processing.
1968-1974
- Jordan M. Malof, Maciej A. Mazurowski, Georgia D. Tourassi:
The effect of class imbalance on case selection for case-based classifiers, with emphasis on computer-aided diagnosis systems.
1975-1980
- Nadia Mammone, Giuseppina Inuso, Fabio La Foresta, Mario Versaci, Francesco Carlo Morabito:
Entropy spatial clustering in epileptic EEG.
1981-1986
- Danilo P. Mandic:
Complex valued recurrent neural networks for noncircular complex signals.
1987-1992
- Michail Maniadakis, Jun Tani, Panos E. Trahanias:
Time perception in shaping cognitive neurodynamics of artificial agents.
1993-2000
- Allan de Medeiros Martins, Samaherni M. Dias, Aldayr Dantas de Araújo, Adriao D. D. Neto:
Soccer robot identification using Kernel based weighted least squares.
2001-2005
- Leonardo C. Martinez, Diego N. da Hora, João R. de M. Palotti, Wagner Meira Jr., Gisele L. Pappa:
From an artificial neural network to a stock market day-trading system: A case study on the BM&F BOVESPA.
2006-2013
- David Martínez-Rego, Oscar Fontenla-Romero, Iago Porto-Díaz, Amparo Alonso-Betanzos:
A new supervised local modelling classifier based on information theory.
2014-2020
- Francesco Masulli, Alessandro Parini, Stefano Rovetta, Giuseppe Russo:
Searching for microRNA prostate cancer target genes.
2021-2026
- Yoshitatsu Matsuda, Kazunori Yamaguchi:
A simple overcomplete ICA algorithm by non-orthogonal pair optimizations.
2027-2031
- Toshihiko Matsuka, Hidehito Honda, Sachiko Kiyokawa, Arieta Chouchourelou:
Modeling high-order human intelligence with intelligence of swarm.
2032-2037
- Haruna Matsushita, Yoshifumi Nishio:
Network-Structured Particle Swarm Optimizer considering neighborhood relationships.
2038-2044
- Maciej A. Mazurowski, Georgia D. Tourassi:
Evaluating classifiers: Relation between area under the receiver operator characteristic curve and overall accuracy.
2045-2049
- Michael McCarron, Mahmood R. Azimi-Sadjadi, Michael Mungiole, David Marlin:
Rapid acoustic transmission loss prediction using an operationally adaptive system.
2050-2057
- Shahab Mehraeen, Sarangapani Jagannathan, Mariesa L. Crow:
Decentralized control of large scale interconnected systems using adaptive neural network-based dynamic surface control.
2058-2064
- Stefano Melacci, Marco Maggini, Lorenzo Sarti:
Semi-supervised clustering using similarity neural networks.
2065-2072
- Mauricio Menegaz, Paulo M. Engel:
Using the GTSOM network for mobile robot navigation with reinforcement learning.
2073-2077
- Hongying Meng, Shigang Yue, Andrew Hunter, Kofi Appiah, Mervyn Hobden, Nigel Priestley, Peter Hobden, Cy Pettit:
A modified neural network model for Lobula Giant Movement Detector with additional depth movement feature.
2078-2083
- Hongying Meng, Kofi Appiah, Andrew Hunter, Shigang Yue, Mervyn Hobden, Nigel Priestley, Peter Hobden, Cy Pettit:
A modified sparse distributed memory model for extracting clean patterns from noisy inputs.
2084-2089
- Yicong Meng, Bertram Emil Shi:
Normalized phase shift motion energy neuron populations for image velocity estimation.
2090-2097
- Anke Meyer-Bäse, Susanne Cappendijk, Ernst Althaus:
Global uniform stability analysis of biological networks with different time-scales under perturbations.
2098-2102
- Jun Miao, Laiyun Qing, Lijuan Duan, Baixian Zou:
Single vs. population cell coding: Gaze movement control in target search.
2103-2108
- Ali A. Minai, Laxmi R. Iyer, Divyachapan Padur, Simona Doboli:
A dynamical connectionist model of idea generation.
2109-2116
- Georgiy R. Minasyan, John B. Chatten, Richard N. Harner:
Detection of epileptiform activity in unresponsive patients using ANN.
2117-2124
- Fernanda L. Minku, Xin Yao:
Using diversity to handle concept drift in on-line learning.
2125-2132
- Derek Monner, James A. Reggia:
An unsupervised learning method for representing simple sentences.
2133-2140
- Sangwoo Moon, Hairong Qi:
A hybrid feature extraction framework based on risk minimization and independence maximization.
2141-2144
- Jayram Moorkanikara Nageswaran, Nikil Dutt, Jeffrey L. Krichmar, Alex Nicolau, Alexander V. Veidenbaum:
Efficient simulation of large-scale Spiking Neural Networks using CUDA graphics processors.
2145-2152
- Tiago C. Mota, Aantonio Carlos G. Thome:
One-Against-All-based multiclass SVM strategies applied to vehicle plate character recognition.
2153-2159
- Ouael Mouelhi, Pierre Couturier, Tanneguy Redarce:
A hybrid search algorithm in a multi-agent system environment for multicriteria optimization of products design.
2160-2167
- Xiaoyan Mu, Jiangfeng Lu, Paul Watta, Mohamad H. Hassoun:
Weighted voting-based ensemble classifiers with application to human face recognition and voice recognition.
2168-2171
- Martina Mueller, Sarah N. Taylor, Carol L. Wagner, Jonas S. Almeida:
Using an artificial neural network to predict necrotizing enterocolitis in premature infants.
2172-2175
- Cyro Muniz, Karla Figueiredo, Marley Maria Bernardes Rebuzzi Vellasco, Gustavo Chavez, Marco Aurélio Cavalcanti Pacheco:
Irregularity detection on low tension electric installations by neural network ensembles.
2176-2182
- Shigenori Muraoka, Shigeo Abe:
Sparse support vector regressors based on forward basis selection.
2183-2187
- Yi Lu Murphey, ZhiHang Chen, Mahmoud Abou-Nasr, Ryan Baker, Timothy Feldkamp, Ilya V. Kolmanovsky:
Ensembles of neural networks with generalization capabilities for vehicle fault diagnostics.
2188-2194
- Mark H. Myers, Robert Kozma:
Seizure prediction through dynamic synchronization measures of neural populations.
2195-2201
- Jin Hee Na, Myoung Soo Park, Jin Young Choi:
A new discriminant analysis based on boundary/non-boundary pattern separation.
2202-2208
- Susumu Nagatoishi, Osamu Araki:
Effect of refractoriness on learning performance of a pattern sequence.
2209-2214
- D. D. Neema, R. N. Patel, A. S. Thoke:
Rotor flux and torque estimator for vector controlled induction drive using ANN.
2215-2220
- Costas Neocleous, Panagiotis Anastasopoulos, Kypros H. Nikolaides, Christos Schizas, Kleanthis C. Neokleous:
Neural networks to estimate the risk for preeclampsia occurrence.
2221-2225
- Eufrasio de Andrade Lima Neto, Gauss Moutinho Cordeiro, Francisco de Assis Tenório de Carvalho, Ulisses Umbelino dos Anjos, Abner Gomes da Costa:
Bivariate Generalized Linear Model for Interval-Valued Variables.
2226-2229
- Paulo S. G. de Mattos Neto, Gustavo G. Petry, Aranildo Rodrigues Lima Junior, Tiago A. E. Ferreira:
Combining Artificial Neural Network and Particle Swarm System for time series forecasting.
2230-2237
- Cicero A. M. da Silva Neves, Mauro Roisenberg, Guenther Schwedersky Neto:
A method to estimate prediction intervals for artificial neural networks that is sensitive to the noise distribution in the outputs.
2238-2242
- Chris Newby, Yingjie Yang, Huseyin Seker:
Investigation into effectiveness of rough sets in prediction of enzyme and protein structure classes.
2243-2249
- Yok-Yen Nguwi, Siu-Yeung Cho:
Support vector self-organizing learning for imbalanced medical data.
2250-2255
- Leonardo Nicolosi, Ronald Tetzlaff, Felix Abt, Andreas Blug, Daniel Carl, Heinrich Höfler:
New CNN based algorithms for the full penetration hole extraction in laser welding processes: Experimental results.
2256-2263
- Wataru Niide, Tadashi Tsubone, Yasuhiro Wada:
Identification of moving limb using near infrared spectroscopic signals for brain activation.
2264-2271
- Danko Nikolic:
Model this! Seven empirical phenomena missing in the models of cortical oscillatory dynamics.
2272-2279
- Kyosuke Nishida, Koichiro Yamauchi:
Learning, detecting, understanding, and predicting concept changes.
2280-2287
- David Norton, Dan Ventura:
Improving the separability of a reservoir facilitates learning transfer.
2288-2293
- Marco Aurelio Nuño-Maganda, Miguel Arias-Estrada, Cesar Torres-Huitzil, Bernard Girau:
Hardware implementation of Spiking Neural Network classifiers based on backpropagation-based learning algorithms.
2294-2301
- Eduardo S. Ogasawara, Leonardo Gresta Paulino Murta, Geraldo Zimbrao, Marta Mattoso:
Neural networks cartridges for data mining on time series.
2302-2309
- Ryohei Ohta, Seiichi Ozawa:
An incremental learning algorithm of Recursive Fisher Linear Discriminant.
2310-2315
- Shogo Okada, Toyoaki Nishida:
Incremental clustering of gesture patterns based on a self organizing incremental neural network.
2316-2322
- Olutayo O. Oladunni, Gaurav Singhal:
Piecewise multi-classification support vector machines.
2323-2330
- Diego Marinho de Oliveira, Andre Luis de Oliveira Andrade, Cristiane Neri Nobre, Luis E. Zárate:
The usage of Artificial Neural Networks in the classification and forecast of potable water consumption.
2331-2338
- Diogo F. de Oliveira, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto:
Use of multi-objective genetic algorithms to investigate the diversity/accuracy dilemma in heterogeneous ensembles.
2339-2346
- Renato Oliveira, Paulo J. L. Adeodato, Arthur Carvalho, Icamaan Viegas, Christian Diego, Ing Ren Tsang:
A data mining approach to solve the goal scoring problem.
2347-2352
- Katsuma Ono, Toshimichi Saito:
Application of particle swarm optimizers to two-objective problems in design of switching inverters.
2353-2357
- Takashi Onoda, Norihiko Ito, Hironobu Yamasaki:
Trouble condition sign discovery based on support vector machines for hydroelectric power plants.
2358-2365
- Akira Onoo, Hiroomi Hikawa, Seiji Miyoshi, Yutaka Maeda:
On automatic generation of VHDL code for self-organizing map.
2366-2373
- Sandra Osiceanu, Monica Dascalu, Eduard Franti, Adrian Barbilian:
Intelligent interfaces for locomotory prosthesis.
2374-2379
- Osonde Osoba, Sanya Mitaim, Bart Kosko:
Adaptive fuzzy priors for Bayesian inference.
2380-2387
- Mohamed Oubbati, Wolfgang Holoch, Günther Palm:
Neural fields for complex behavior generation on autonomous robots.
2388-2393
- Seiichi Ozawa, Yuki Kawashima, Shaoning Pang, Nikola Kasabov:
Adaptive incremental principal component analysis in nonstationary online learning environments.
2394-2400
- Shaoning Pang, Seiichi Ozawa, Nikola K. Kasabov:
Curiosity driven incremental LDA agent active learning.
2401-2408
- Mikko Pänkäälä, Mika Laiho, Paul Hasler:
Compact floating-gate learning array with STDP.
2409-2415
- Myoung Soo Park, Jin Young Choi:
A new discriminant analysis for non-normally distributed data based on datawise formulation of scatter matrices.
2416-2422
- Ashok Patel, Bart Kosko:
Neural signal-detection noise benefits based on error probability.
2423-2430
- Jagdish Chandra Patra, Nguyen C. Thanh, Pramod Kumar Meher:
Computationally efficient FLANN-based intelligent stock price prediction system.
2431-2438
- Jagdish Chandra Patra, Cédric Bornand, Goutam Chakraborty:
Hermite neural network-based intelligent sensors for harsh environments.
2439-2444
- Daniel Pavelec, Luiz S. Oliveira, Edson J. R. Justino, Francisco D. Nobre Neto, Leonardo Vidal Batista:
Compression and stylometry for author identification.
2445-2450
- Athanasios Pavlou, Matthew C. Casey:
A computational platform for visual fear conditioning.
2451-2458
- Giovanni Egidio Pazienza, Eduardo Gómez-Ramírez:
New properties of 2D Cellular Automata found through Polynomial Cellular Neural Networks.
2459-2466
- Fernando Agustin Pazos, Amit Bhaya, Eugenius Kaszkurewicz:
Unified control Liapunov function based design of neural networks that aim at global minimization of nonconvex functions.
2467-2474
- Helton Maia Peixoto, Ana M. G. Guerreiro, Adriao D. D. Neto:
Image processing for eye detection and classification of the gaze direction.
2475-2480
- Jose Francisco Pereira, George D. C. Cavalcanti, Ing Ren Tsang:
Modular Image Principal Component Analysis for face recognition.
2481-2486
- Christian de Peretti, Carole Siani, Mario Cerrato:
An artificial neural network based heterogeneous panel unit root test in case of cross sectional independence.
2487-2493
- Martha O. Perez-Arriaga, Thomas P. Caudell:
A study of brain structure evolution in simple embodied neural agents using genetic algorithms and category theory.
2494-2500
- Leonid I. Perlovsky:
Emotions, language, and Sapir-Whorf hypothesis.
2501-2508
- Subramoniam Perumal, Ali A. Minai:
Stable-yet-switchable (SyS) attractor networks.
2509-2516
- Leif E. Peterson, Sameer Ather, Vijay Divakaran, Anita Deswal, B. Bozkurt, Douglas L. Mann:
Improved propensity matching for heart failure using neural gas and self-organizing maps.
2517-2524
- Stefan Philipp, Johannes Schemmel, Karlheinz Meier:
A QoS network architecture to interconnect large-scale VLSI neural networks.
2525-2532
- Marco Piastra:
A growing self-organizing network for reconstructing curves and surfaces.
2533-2540
- Filip Piekniewski:
Robustness of power laws in degree distributions for spiking neural networks.
2541-2546
- Glauber M. Pires, Aluizio F. R. Araújo:
A stochastic neural model for fast classification of binary images.
2547-2552
- Arjpolson Pukrittayakamee, Martin Hagan, Lionel Raff, Satish T. S. Bukkapatnam, Ranga Komanduri:
A network pruning algorithm for combined function and derivative approximation.
2553-2560
- Mullur Pushpalatha, Niranjan Nalini:
A compact network with improved generalization using wavelet basis function network for static non-linear functions.
2561-2565
- Mengyu Qiao, Andrew H. Sung, Qingzhong Liu:
Steganalysis of MP3Stego.
2566-2571
- Wei Qiao:
Echo-state-network-based real-time wind speed estimation for wind power generation.
2572-2579
- Jon T. S. Quah, Luo-Ren Lim:
Neural network based admission controller for proximity aware mobile services.
2580-2587
- Jon T. S. Quah, Luo-Ren Lim, Hendri Budi, Kim-Teng Lua:
Towards automated assessment of engineering assignments.
2588-2595
- Marcos G. Quiles, DeLiang Wang, Liang Zhao, Roseli A. Francelin Romero, De-Shuang Huang:
An oscillatory correlation model of object-based attention.
2596-2602
- A. Ravishankar Rao, Guillermo A. Cecchi:
An optimization approach to understanding structure-function relationships in the visual cortex.
2603-2610
- Alexander D. Rast, Mukaram M. Khan, Xin Jin, Luis A. Plana, Steve Furber:
A universal abstract-time platform for real-time neural networks.
2611-2618
- Alexander D. Rast, Stephen R. Welbourne, Xin Jin, Steve Furber:
Optimal connectivity in hardware-targetted MLP networks.
2619-2626
- Sekou Remy, Chung Hyuk Park, Ayanna M. Howard:
Improving the performance of ANN training with an unsupervised filtering method.
2627-2633
- Yong Ren, Keith Anderson, Khan M. Iftekharuddin, Paul Kim, William E. White:
Pose invariant face recognition using Cellular Simultaneous Recurrent Networks.
2634-2641
- Germano Resconi, Chu Kiong Loo, Nuo Wi Noel Tay:
Quantum Morphogenetic System in image recognition.
2642-2648
- Germano Resconi, Boris Kovalerchuk:
Agents in neural uncertainty.
2649-2656
- Alexander M. Reznik, Dmitry A. Dziuba:
Dynamic associative memory, based on open recurrent neural network.
2657-2663
- Anna Izabel J. Tostes Ribeiro, Luis E. Zárate, Fatima de L. P. Duarte-Figueiredo:
A representative validation of a neural 3G admission control through rules extraction.
2664-2670
- Emily Richardson, Yingjie Yang, John Hall:
A novel meta database for relationships between Bioinformatics databases.
2671-2677
- Pablo Rivas-Perea, José-Gerardo Rosiles, Wei Qian:
Self organizing maps for class discovery in the quantitative colocalization analysis feature space.
2678-2684
- Daniel Rivero, Julian Dorado, Juan R. Rabuñal, Alejandro Pazos:
Evolving simple feed-forward and recurrent ANNs for signal classification: A comparison.
2685-2692
- Paul Robinette, John Seiffertt, Ryan J. Meuth, Ryanne Dolan, Donald C. Wunsch:
An Agent-Based computational model of a self-organizing project management paradigm for research teams.
2693-2698
- Lia C. Rodrigues, Clodoaldo Ap. M. Lima, Pollyana N. Mustaro:
Clustering online game communities through SOM.
2699-2702
- L. J. Aranildo Rodrigues, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira:
A prime step in the time series forecasting with hybrid methods: The fitness function choice.
2703-2710
- Florian Röhrbein, Julian Eggert, Edgar Körner:
Child-friendly divorcing: Incremental hierarchy learning in Bayesian networks.
2711-2716
- Fabio Ruini, Angelo Cangelosi, Franck Zetule:
Individual and cooperative tasks performed by autonomous MAV Teams driven by embodied neural network controllers.
2717-2724
- Steele A. Russell, Anthony S. Maida:
Performance of generalized multi-layered perceptrons and layered arbitrarily connected networks trained using the Levenberg-Marquardt method.
2725-2731
- Leszek Rybicki, Yuuya Sugita, Jun Tani:
Reinforcement learning of multiple tasks using parametric bias.
2732-2739
- Sohrab Saeb, Cornelius Weber, Jochen Triesch:
A neural model for the adaptive control of saccadic eye movements.
2740-2747
- Ken Saito, Katsutoshi Saeki, Yoshifumi Sekine:
Synchronization of coupled pulse-type hardware neuron models for CPG model.
2748-2755
- Ruben Salazar-Mendoza, Guillermo Jimenez de la Cruz, José Antonio Ruz Hernández:
Neural networks versus Linear and Sequential Programming for Gas Lift Optimization in a two oil wells system.
2756-2763
- Ivan Salgado, Isaac Chairez:
Discrete time recurrent neural network observer.
2764-2770
- Utku Salihoglu, Hugues Bersini, Yoko Yamaguchi, Colin Molter:
Online organization of chaotic cell assemblies. A model for the cognitive map formation?
2771-2777
- Edgar N. Sanchez, Alexander G. Loukianov, Riemann Ruiz:
Neural network identification of a double fed induction generator prototype.
2778-2783
- Laura Emmanuella A. Santana, Ligia Silva, Anne M. P. Canuto:
Feature selection in heterogeneous structure of ensembles: A genetic algorithm approach.
2784-2791
- Enock T. Santos, Luis E. Zárate, Elizabeth Marques Duarte Pereira:
Climatic data neural representation for large territorial extensions: Case study for the State of Minas Gerais.
2792-2797
- Joao Paulo Queiroz dos Santos, Francisco Chagas de Lima, Rafael Marrocos Magalhães, Jorge Dantas de Melo, Adrião Duarte Dória Neto:
A parallel hybrid implementation using genetic algorithm, GRASP and reinforcement learning.
2798-2803
- Wellington P. dos Santos, Francisco M. de Assis:
Optimization based on dialectics.
2804-2811
- Masatoshi Sato, Hisashi Aomori, Mamoru Tanaka:
Nonlinear synaptic Neural Network for Maximum Flow problems.
2812-2818
- Ramaswamy Savitha, Sundaram Suresh, Narasimhan Sundararajan:
Complex-valued function approximation using a Fully Complex-valued RBF (FC-RBF) learning algorithm.
2819-2825
- Salam Sawadogo, Julien Brajard, Awa Niang, Cyril Lathuiliere, Michel Creéon, Sylvie Thiria:
Analysis of the Senegalo-Mauritanian upwelling by processing satellite remote sensing observations with topological maps.
2826-2832
- Stefan Schliebs, Michael Defoin-Platel, Susan P. Worner, Nikola Kasabov:
Quantum-inspired feature and parameter optimisation of evolving spiking neural networks with a case study from ecological modeling.
2833-2840
- Mauro Schneider, Pollyana N. Mustaro, Clodoaldo Ap. M. Lima:
Automatic recognition of epileptic seizure in EEG via support vector machine and dimension fractal.
2841-2845
- Hans Georg Seedig, Ralph Grothmann, Thomas A. Runkler:
Forecasting of clustered time series with recurrent neural networks and a fuzzy clustering scheme.
2846-2853
- John Seiffertt:
An alpha derivative formulation of the Hamilton-Jacobi-Bellman equation Of Dynamic Programming.
2854-2859
- John Seiffertt, Samuel A. Mulder, Rohit Dua, Donald C. Wunsch:
Neural networks and Markov models for the iterated prisoner's dilemma.
2860-2866
- Basabdatta Sen Bhattacharya, Steve Furber:
Evaluating rank-order code performance using a biologically-derived retinal model.
2867-2874
- Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos:
An efficient active set method for SVM training without singular inner problems.
2875-2882
- Sohan Seth, José Carlos Príncipe:
On speeding up computation in information theoretic learning.
2883-2887
- Anthony Setiawan, Irena Koprinska, Vassilios G. Agelidis:
Very short-term electricity load demand forecasting using support vector regression.
2888-2894
- Jesse Sherwood, Reza Derakhshani:
On classifiability of wavelet features for EEG-based brain-computer interfaces.
2895-2902
- Ming-Guang Shi, Min Wu, De-Shuang Huang, Xueling Li:
Inferring Protein Interactions from Sequence using Support Vector Machine.
2903-2907
- Weiya Shi, Yue-Fei Guo, Xiangyang Xue:
Matrix-based Kernel Principal Component analysis for large-scale data set.
2908-2913
- Xiaohu Shi, Renchu Guan, Liupu Wang, Zhili Pei, Yanchun Liang:
An incremental affinity propagation algorithm and its applications for text clustering.
2914-2919
- Nils T. Siebel, Jonas Botel, Gerald Sommer:
Efficient neural network pruning during neuro-evolution.
2920-2927
- Michael Baskara L. A. Siek, Dimitri P. Solomatine:
Chaotic model with data assimilation using NARX network.
2928-2935
- Kelly P. Silva, Francisco de A. T. de Carvalho, Marc Csernel:
Clustering of symbolic data using the assignment-prototype algorithm.
2936-2942
- Renato R. da Silva, Claudio A. Policastro, Roseli A. F. Romero:
Relational reinforcement learning applied to shared attention.
2943-2949
- Abhishek Singh, José Carlos Príncipe:
Using Correntropy as a cost function in linear adaptive filters.
2950-2955
- Koen Smets, Brigitte Verdonk, Elsa M. Jordaan:
Discovering novelty in spatio/temporal data using one-class support vector machines.
2956-2963
- Tomasz G. Smolinski, Astrid A. Prinz:
Computational intelligence in modeling of biological neurons: A case study of an invertebrate pacemaker neuron.
2964-2970
- Qing Song, Yeng Chai Soh, Lei Zhao:
A robust extended Elman backpropagation algorithm.
2971-2978
- Emilio Soria-Olivas, José David Martín-Guerrero, J. Caravaca, Antonio J. Serrano, Marcelino Martínez-Sober, Rafael Magdalena, Juan Gómez, Magdalena Heras, Gines Sanz:
Survival prediction in patients undergoing ischemic cardiopathy.
2979-2982
- Georgina Stegmayer, Diego H. Milone, Laura Kamenetzky, Mariana G. Lopez, Fernando Carrari:
Neural network model for integration and visualization of introgressed genome and metabolite data.
2983-2989
- Luis A. Paz Suarez, Petia Georgieva, Sebastião Feyo de Azevedo:
Computationally efficient process control with neural networkbased predictive models.
2990-2997
- Changyin Sun, Chenghong Wang, Su Song, Yifan Wang:
A local approach of adaptive affinity propagation clustering for large scale data.
2998-3002
- Jiabao Sun, Jagdish Chandra Patra, Yongjin Li:
Functional Link Artificial Neural Network-based disease gene prediction.
3003-3010
- Ron Sun, Isaac Naveh:
Cognitive simulation of academic science.
3011-3017
- Tsung-Ying Sun, Ming-Chin Yang, Shang-Jeng Tsai, Jyun-Sian He:
Adaptive neural network controller for the flush material Belt Weigh Feeder.
3018-3023
- Peter Sussner, Estevão Laureano Esmi:
An introduction to morphological perceptrons with competitive learning.
3024-3031
- Douglas P. Sutton, Martin C. Carlisle, Traci A. Sarmiento, Leemon C. Baird III:
Partitioned neural networks.
3032-3037
- Zoltán Szabó, András Lörincz:
Controlled Complete ARMA Independent Process Analysis.
3038-3045
- Tarek M. Taha, Pavan Yalamanchili, Mohammad A. Bhuiyan, Rommel Jalasutram, Sumod K. Mohan:
Parallelizing two classes of neuromorphic models on the Cell multicore architecture.
3046-3053
- Souhaib Ben Taieb, Gianluca Bontempi, Antti Sorjamaa, Amaury Lendasse:
Long-term prediction of time series by combining direct and MIMO strategies.
3054-3061
- Haruhiko Takase, Masaru Fujita, Hiroharu Kawanaka, Shinji Tsuruoka, Hidehiko Kita, Terumine Hayashi:
Obstacle to training SpikeProp networks - Cause of surges in training process -.
3062-3066
- Syogo Takeuchi, Takuya Kitamura, Shigeo Abe, Kazuhiro Fukui:
Subspace based linear programming support vector machines.
3067-3073
- Yuuki Taki, Hiroomi Hikawa, Seiji Miyoshi, Yutaka Maeda:
Hand sign recognition system based on hybrid network classifier.
3074-3081
- Tatiana Tambouratzis, Imre Pázsit:
General regression artificial neural networks for two-phase flow regime identification.
3082-3087
- Ying Tan, Chao Deng, Guangchen Ruan:
Concentration based feature construction approach for spam detection.
3088-3093
- Sirinart Tangruamsub, Manabu Tsuboyama, Aram Kawewong, Osamu Hasegawa:
Mobile robot vision-based navigation using self-organizing and incremental neural networks.
3094-3101
- John G. Taylor:
Can consciousness ever be modelled?
3102-3103
- John G. Taylor, Matthew Hartley:
Neural architectures for thinking, reasoning and being conscious.
3104-3110
- Shawn E. Taylor, Michael L. Bernard, Stephen J. Verzi, James D. Morrow, Craig M. Vineyard, Michael J. Healy, Thomas P. Caudell:
Temporal semantics: An Adaptive Resonance Theory approach.
3111-3117
- Jan-Phillip Tiesel, Aanthony S. Maida:
Using parallel GPU architecture for simulation of planar I/F networks.
3118-3123
- Naoki Tominaga, Qiangfu Zhao:
Fast structural learning of distance-based neural networks.
3124-3131
- Hiroyuki Torikai, Toru Nishigami:
A novel chaotic spiking neuron and its paralleled spike encoding function.
3132-3139
- Edmondo Trentin, Antonino Freno:
Unsupervised nonparametric density estimation: A neural network approach.
3140-3147
- Rua-Huan Tsaih, Hsiou-Wei Lin:
Knowledge-internalization process for neural-networks practitioners.
3148-3155
- Nugraha P. Utama, Atsushi Takemoto, Katsuki Nakamura, Yasuharu Koike:
Single-trial EEG data to classify type and intensity of facial emotion from P100 and N170.
3156-3163
- Guido Vagliasindi, Paolo Arena, Andrea Murari:
CART data analysis to attain interpretability in a Fuzzy Logic Classifier.
3164-3171
- Julio J. Valdés, Antonio Pou:
Climatic variation of the structure of maximum daily temperatures in Spain: A combined statistical and computational intelligence approach.
3172-3179
- Kyriakos G. Vamvoudakis, Frank L. Lewis:
Online actor critic algorithm to solve the continuous-time infinite horizon optimal control problem.
3180-3187
- Vladimir Vapnik, Akshay Vashist, Natalya Pavlovitch:
Learning using hidden information (Learning with teacher).
3188-3195
- Roberto Antonio Vázquez, Humberto Sossa:
Morphological auto-associative memories applied to true-color image patterns.
3196-3203
- Naresh N. Vempala, Anthony S. Maida:
Modeling melody recognition using a sequence recognition neural network with meta-level processes.
3204-3211
- Mario Ventresca, Hamid R. Tizhoosh:
Improving gradient-based learning algorithms for large scale feedforward networks.
3212-3219
- Brijesh Verma:
Impact of multiple clusters on neural classification of ROIs in digital mammograms.
3220-3223
- Draguna Vrabie, Frank L. Lewis:
Generalized Policy Iteration for continuous-time systems.
3224-3231
- Neil Wachowski, Mahmood R. Azimi-Sadjadi:
A likelihood-based decision feedback system for multi-aspect classification of underwater targets.
3232-3239
- Jinhui Wang, Wuchen Wu, Na Gong, Lei Zuo, Ligang Hou, Shuqin Geng, Wang Zhang, Daming Gao:
Switching and leakage power modeling for multiple-supply dynamic gate with delay constraining based on wavelet neural networks.
3240-3243
- Lili Wang, Wenlian Lu, Tianping Chen:
Delayed neural networks with multistable almost periodic solutions.
3244-3250
- Shijun Wang, Ronald M. Summers, Changshui Zhang:
A fast mean-field method for large-scale high-dimensional data and its application in colonic polyp detection at CT colonography.
3251-3258
- Shuo Wang, Ke Tang, Xin Yao:
Diversity exploration and negative correlation learning on imbalanced data sets.
3259-3266
- Xiaoxia Wang, Peter Tiño, Mark A. Fardal, Somak Raychaudhury, Arif Babul:
Fast parzen window density estimator.
3267-3274
- Yiwen Wang, Justin C. Sanchez, José Carlos Príncipe:
Selecting neural subsets for kinematics decoding by information theoretical analysis in motor Brain Machine Interfaces.
3275-3280
- Yu-Chiang Frank Wang, David Casasent:
A support vector hierarchical method for multi-class classification and rejection.
3281-3288
- Zhisong Wang, Nikos K. Logothetis, Hualou Liang:
Percept-related cortical induced activity during bistable perception.
3289-3296
- Zhuang Wang, Slobodan Vucetic:
Tighter Perceptron with improved dual use of cached data for model representation and validation.
3297-3302
- Shesharao M. Wanjerkhede, Raju S. Bapi:
A Computational study of pre-synaptic re-uptake of dopamine on phosphorylation of DARPP-32.
3303-3310
- Naoki Watanabe, Kazuhiko Fukami, Hitoki Imamura, Katsuki Sonoda, Soichiro Yamane:
Flood forecasting technology with radar-derived rainfall data using Genetic Programming.
3311-3318
- Cornelius Weber, Jochen Triesch:
Goal-directed feature learning.
3319-3326
- Daniel Weiler, Florian Röhrbein, Julian Eggert:
Level-set segmentation with contour based object representation.
3327-3334
- Richard L. Welch, Stephen M. Ruffing, Ganesh K. Venayagamoorthy:
Comparison of feedforward and feedback neural network architectures for short term wind speed prediction.
3335-3340
- Qinghua Wen, Zehong Yang, Yixu Song, Peifa Jia:
Intelligent stock trading system based on SVM algorithm and oscillation box prediction.
3341-3347
- Juyang Weng, Yi Shen, Mingmin Chi, Xiangyang Xue:
Temporal context as cortical spatial codes.
3348-3355
- Paul J. Werbos:
Putting more brain-like intelligence into the electric power grid: What we need and how to do it.
3356-3359
- Timothy Whitacre, Xiao-Hua Yu:
A neural network receiver for EM-MWD baseband communication systems.
3360-3364
- Bernard Widrow, M. Etemadi:
Cognitive memory: Human and machine.
3365-3372
- Peter Wittek, Chew Lim Tan:
A kernel-based feature weighting for text classification.
3373-3379
- Donald C. Wunsch:
ART properties of interest in engineering applications.
3380-3383
- Songyun Xie, Rong Guo, Ning-fei Li, Ge Wang, Hai-tao Zhao:
Brain fMRI processing and classification based on combination of PCA and SVM.
3384-3389
- Rui Xu, Luis du Plessis, Steven Damelin, Michael Sears, Donald C. Wunsch:
Analysis of hyperspectral data with diffusion maps and Fuzzy ART.
3390-3397
- Rui Xu, Jie Xu, Donald C. Wunsch:
Using default ARTMAP for cancer classification with MicroRNA expression signatures.
3398-3404
- Xu Xu, Yanchun Liang:
Effects of the short-cut connection on the dynamics of a delayed ring neural network.
3405-3411
- Peyman Yadmellat, Heidar Ali Talebi:
An observer-based neural networks control scheme for nonlinear systems.
3412-3419
- Weizhong Yan, Hai Qiu, Ya Xue:
Gaussian process for long-term time-series forecasting.
3420-3427
- Jie Yang, Abdesselam Bouzerdoum, Son Lam Phung:
A Neural Network pruning approach based on Compressive Sampling.
3428-3435
- Yi Yang, Ronald G. Harley, Deepak Divan, Thomas G. Habetler:
Overhead conductor thermal dynamics identification by using Echo State Networks.
3436-3443
- Yuichi Yano, Yuko Osana:
Chaotic Complex-Valued Bidirectional Associative Memory.
3444-3449
- Chun Wan Yeung, F. H. Frank Leung, Kit Yan Chan, Sai-Ho Ling:
An integrated approach of particle swarm optimization and support vector machine for gene signature selection and cancer prediction.
3450-3456
- Arthur Steven Younger, Emmett Redd:
Fixed-Weight learning Neural Networks on Optical Hardware.
3457-3463
- Wen Yu, Xiaoou Li:
Neural sliding mode control with finite time convergence.
3464-3470
- Jiangye Yuan, DeLiang Wang, Bo Wu, Lin Yan, Rongxing Li:
Automatic road extraction from satellite imagery using LEGION networks.
3471-3476
- Yuan Yuan, Chenhui Yang, Jennie Si:
An advanced spike detection and sorting system.
3477-3484
- Zarita Zainuddin, Pauline Ong:
Improved wavelet neural network for early diagnosis of cancer patients using microarray gene expression data.
3485-3492
- Anahita Zarei, Michael Hairfield, Seyedsalahadin Mirsaeidghazi:
A Novel neuro-fuzzy assessment index for orthodontics.
3493-3497
- Shuqing Zeng, Yanhua Chen:
Joint tracking-registration with linear complexity: An application to range sensors.
3498-3503
- Zhigang Zeng, Jun Wang:
Analysis and design of associative memories based on cellular neural networks with space-invariant cloning templates.
3504-3511
- Zhigang Zeng, Jun Wang:
Analysis and synthesis of associative memories based on Brain-State-in-a-Box neural networks.
3512-3519
- Haizhang Zhang, Yuesheng Xu, Jun Zhang:
Reproducing kernel Banach spaces for machine learning.
3520-3527
- Jun Zhang, Jinglu Hu:
An automatic segmentation technique for color images based on SOFM neural network.
3528-3533
- Wen-Ran Zhang:
YinYang bipolar dynamic logic (BDL) and equilibrium-based computational neuroscience.
3534-3541
- Chun-Hou Zheng, Ping Zhang, Lei Zhang, Xin-Xin Liu, Ju Han:
Gene expression data classification based on non-negative matrix factorization.
3542-3547
- Weicai Zhong, Bijan Raahemi, Jing Liu:
Learning on Class Imbalanced Data to Classify Peer-to-Peer Applications in IP Traffic using Resampling Techniques.
3548-3554
- Wei Zhou, Jacek M. Zurada:
A class of discrete-time recurrent neural networks with multivalued neurons.
3555-3558
- Yuhua Zhu, Xiuwen Liu, Washington Mio:
Image retrieval based on intrinsic spectral histogram representation.
3559-3564
- Yuhua Zhu, Washington Mio, Xiuwen Liu:
Optimal dimension reduction for image retrieval with correlation metrics.
3565-3570
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