default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDIJCNN 2011: San Jose, California, USA
- The 2011 International Joint Conference on Neural Networks, IJCNN 2011, San Jose, California, USA, July 31 - August 5, 2011. IEEE 2011, ISBN 978-1-4244-9635-8
- Amar Saric, Jing Xiao:
Efficient Levenberg-Marquardt minimization of the cross-entropy error function. 1-8 - D. Randall Wilson:
Beyond probabilistic record linkage: Using neural networks and complex features to improve genealogical record linkage. 9-14 - Muhammad A. Hasan, Mamun Bin Ibne Reaz
, Muhammad I. Ibrahimy:
Fetal electrocardiogram extraction and R-peak detection for fetal heart rate monitoring using artificial neural network and Correlation. 15-20 - Muhammad Raisul Alam, Mamun Bin Ibne Reaz, Fazida Hanim Hashim, Mohd. Alauddin Mohd. Ali:
Stochastic analysis of smart home user activities. 21-23 - Zheng Yan, Jun Wang:
Robust model predictive control of nonlinear affine systems based on a two-layer recurrent neural network. 24-29 - Xia Hong, Yu Gong, Sheng Chen:
B-spline neural network based digital baseband predistorter solution using the inverse of De Boor algorithm. 30-36 - James Ting-Ho Lo:
A low-order model of biological neural networks for hierarchical or temporal pattern clustering, detection and recognition. 37-44 - Thiago C. Silva, Liang Zhao:
Network-based learning through particle competition for data clustering. 45-52 - Derong Liu, Ding Wang, Dongbin Zhao:
Neural-network-based optimal control for a class of nonlinear cdiscrete-time systems with control constraints using the citerative GDHP algorithm. 53-60 - Qinglai Wei, Derong Liu:
Optimal control for discrete-time nonlinear systems with unfixed initial state using adaptive dynamic programming. 61-67 - Shaoze Lei, Jianwen Zhang, Shifeng Weng, Changshui Zhang:
Topic model with constrainted word burstiness intensities. 68-74 - Wenting Tu, Shiliang Sun:
Semi-supervised feature extraction with local temporal regularization for EEG classification. 75-80 - Olivier F. Manette:
Temporal and rate decoding in spiking neurons with dendrites. 81-85 - Ruxandra-Liana Costea, Corneliu A. Marinov:
Continuous time recurrent neural network designed for KWTA operation. 86-89 - David D. Olmsted:
Foraging behavior in a 3-D virtual sea snail having a spiking neural network brain. 90-94 - José Fernando Fontanari, Leonid I. Perlovsky, Marie-Claude Bonniot-Cabanac, Michel Cabanac:
Emotions of cognitive dissonance. 95-102 - Ahmad Salman, Ke Chen:
Exploring speaker-specific characteristics with deep learning. 103-110 - Petia Georgieva, Sebastião Feyo de Azevedo:
Neural networks for model predictive control. 111-118 - Ting Huang, Derong Liu:
Residential energy system control and management using adaptive dynamic programming. 119-124 - Jian Wang, Wei Wu, Jacek M. Zurada:
Boundedness and convergence of MPN for cyclic and almost cyclic learning with penalty. 125-132 - Jean-Philippe Thivierge, Frédéric Dandurand, Denis Cousineau:
A multi-state model of cortical memory. 133-138 - Lijun Wang, Ming Dong:
On the clustering of large-scale data: A matrix-based approach. 139-144 - Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow:
ITR-Score algorithm: An efficient Trace ratio criterion based algorithm for supervised dimensionality reduction. 145-152 - Junbin Gao:
Multi-task beta process sparse kernel machines. 153-158 - Hong-Wei Hao, Cui-Xia Mu, Xu-Cheng Yin, Zhi-Bin Wang:
Handwritten Chinese character identification with Bagged One-Class support vector machines. 159-164 - Lyle N. Long:
Adaptive spiking neural networks with Hodgkin-Huxley neurons and Hebbian learning. 165-166 - Paulo Varela, Edson J. R. Justino, Luiz S. Oliveira:
Selecting syntactic attributes for authorship attribution. 167-172 - Sébastien Hélie, Ron Sun:
How the core theory of CLARION captures human decision-making. 173-180 - Eftim Zdravevski, Petre Lameski, Andrea Kulakov:
Weight of evidence as a tool for attribute transformation in the preprocessing stage of supervised learning algorithms. 181-188 - Chao Yuan:
Conditional multi-output regression. 189-196 - Chong-Jia Ni, Wenju Liu, Bo Xu:
Prosody dependent Mandarin speech recognition. 197-201 - Martha Pulido, Patricia Melin, Oscar Castillo:
Genetic optimization of ensemble neural networks for complex time series prediction. 202-206 - Sébastien Hélie, Erick J. Paul, F. Gregory Ashby:
Simulating Parkinson's disease patient deficits using a COVIS-based computational model. 207-214 - Asim Roy:
A theory of the brain - the brain uses both distributed and localist (symbolic) representation. 215-221 - Fengchen Liu, Yongsheng Ding, Weixun Gao:
Bio-inspired balanced tree structure dynamic network. 222-229 - Baoyuan Wu, Bao-Gang Hu:
Density and neighbor Adaptive Information Theoretic Clustering. 230-237 - Sergio Decherchi, Davide Leoncini, Paolo Gastaldo, Rodolfo Zunino, Osvaldo Faggioni, Maurizio Soldani:
Computational intelligence methods for underwater magnetic-based protection systems. 238-245 - Rafael Marcos Luque, David A. Elizondo, Ezequiel López-Rubio, Esteban J. Palomo:
GA-based feature selection approach in biometric hand systems. 246-253 - Piyabute Fuangkhon, Thitipong Tanprasert:
An Outpost Vector placement evaluation of an incremental learning algorithm for Support Vector Machine. 254-261 - Tamás Krisztin, Matthias Koch:
Agent teams and evolutionary computation: Optimizing semi-parametric spatial autoregressive models. 262-266 - Ieroham S. Baruch, Eloy Echeverria Saldierna, Oscar Castillo:
Distributed parameter bioprocess plant identification and I-term control using centralized recurrent neural network models. 267-274 - Marcos Eduardo Valle, Daniela Maria Grande Vicente:
Some experimental results on sparsely connected autoassociative morphological memories for the reconstruction of color images corrupted by either impulsive or Gaussian noise. 275-282 - Aida Araujo Ferreira, Teresa Bernarda Ludermir:
Comparing evolutionary methods for reservoir computing pre-training. 283-290 - Kyle B. Dickerson, Dan Ventura:
A SOM-based multimodal system for musical query-by-content. 291-298 - Takio Kurita:
Discriminant Kernels derived from the optimum nonlinear discriminant analysis. 299-306 - Jean Huertas, Liang Zhao:
Controlled consensus time for community detection in complex networks. 307-313 - Fevrier Valdez, Patricia Melin, Herman Parra:
Parallel genetic algorithms for optimization of Modular Neural Networks in pattern recognition. 314-319 - Hirokazu Madokoro, Masahiro Tsukada, Kazuhito Sato:
Unsupervised feature selection and category formation for mobile robot vision. 320-327 - Yu Fang, Xiaodong Gu, Yuanyuan Wang:
Attention selection model using Weight Adjusted Topological properties and quantification evaluating criterion. 328-335 - Ajay S. Iyer, Fredric M. Ham, Milton Garces:
Neural classification of infrasonic signals associated with hazardous volcanic eruptions. 336-341 - Yi Luo, Yoo Hsiu Yeh, Abraham K. Ishihara:
Robot control with a fully tuned Growing Radial Basis Function neural network. 342-348 - Wei Wang, Baichuan Li, Irwin King:
Improving question retrieval in community question answering with label ranking. 349-356 - Thomas Walther, Rolf P. Würtz:
Autonomous learning of a human body model. 357-364 - Chun-Shu Wei, Li-Wei Ko, Shang-Wen Chuang, Tzyy-Ping Jung, Chin-Teng Lin:
Genetic feature selection in EEG-based motion sickness estimation. 365-369 - Álvaro Barbero Jiménez, José R. Dorronsoro:
Momentum Sequential Minimal Optimization: An accelerated method for Support Vector Machine training. 370-377 - Ron Sun, Nick Wilson, Robert C. Mathews:
Mental disorders within a cognitive architecture. 378-385 - Yuuji Ichisugi:
Recognition model of cerebral cortex based on approximate belief revision algorithm. 386-391 - Kai Keng Ang, Zhengyang Chin, Haihong Zhang, Cuntai Guan:
Filter Bank Common Spatial Pattern (FBCSP) algorithm using online adaptive and semi-supervised learning. 392-396 - Eiji Mizutani, James Demmel:
On improving trust-region variable projection algorithms for separable nonlinear least squares learning. 397-404 - Hiroomi Hikawa, Yusuke Araga:
Study on gesture recognition system using posture classifier and Jordan recurrent neural network. 405-412 - Jorge López Lázaro, José R. Dorronsoro:
Convergence of algorithms for solving the Nearest Point Problem in Reduced Convex Hulls. 413-420 - Hui Wei, Xiaomei Wang:
A neural circuit model for nCRF's dynamic adjustment and its application on image representation. 421-429 - Leonid I. Perlovsky:
Creativity and thinking according to cognition-language-music model. 430-436 - Thomas Villmann, Sven Haase:
Magnification in divergence based neural maps. 437-441 - Robert A. Nawrocki, Richard M. Voyles:
Artificial neural network performance degradation under network damage: Stuck-at faults. 442-449 - Robert A. Nawrocki, Sean E. Shaheen, Richard M. Voyles:
A neuromorphic architecture from single transistor neurons with organic bistable devices for weights. 450-456 - Juha Karhunen, Tele Hao:
Finding dependent and independent components from two related data sets. 457-466 - Francesca Stramandinoli, Angelo Cangelosi, Davide Marocco:
Towards the grounding of abstract words: A Neural Network model for cognitive robots. 467-474 - Roberto Díaz-Morales, Harold Y. Molina-Bulla, Ángel Navia-Vázquez:
Parallel Semiparametric Support Vector Machines. 475-481 - Jiangye Yuan, DeLiang Wang, Rongxing Li:
Image segmentation based on local spectral histograms and linear regression. 482-488 - Goktug T. Cinar, José C. Príncipe:
Adaptive background estimation using an information theoretic cost for hidden state estimation. 489-494 - Janusz A. Starzyk:
Mental saccades in control of cognitive process. 495-502 - Gerhard X. Ritter, Gonzalo Urcid:
Perfect recall from noisy input patterns with a dendritic lattice associative memory. 503-510 - David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
Power wind mill fault detection via one-class ν-SVM vibration signal analysis. 511-518 - Alexis Bondu, Marc Boullé:
A supervised approach for change detection in data streams. 519-526 - Alexander Mehler, Andy Lücking, Peter Menke:
From neural activation to symbolic alignment: A network-based approach to the formation of dialogue lexica. 527-536 - Nguyen Thai-Nghe, Zeno Gantner, Lars Schmidt-Thieme:
A new evaluation measure for learning from imbalanced data. 537-542 - Mark Rowan:
Effects of compensation, connectivity and tau in a computational model of Alzheimer's Disease. 543-550 - Isabel Volpe, Viviane Pereira Moreira, Christian R. Huyck:
Cell assemblies for query expansion in Information Retrieval. 551-558 - Alexander A. Frolov, Dusan Húsek, Pavel Yu. Polyakov:
Expectation-maximization approach to Boolean factor analysis. 559-566 - Simon de Montigny, Richard Labib:
Learning algorithms for a specific configuration of the quantron. 567-572 - Leonid I. Perlovsky:
Embodied cognition, language, and mirror neuron system. 573-579 - Levy Boccato, Amauri Lopes, Romis Attux, Fernando J. Von Zuben:
An echo state network architecture based on volterra filtering and PCA with application to the channel equalization problem. 580-587 - Ricardo de A. Araújo, Adriano L. I. Oliveira, Sérgio C. B. Soares, Silvio R. L. Meira:
Gradient-based morphological approach for software development cost estimation. 588-594 - Ricardo de A. Araújo, Adriano L. I. Oliveira, Sérgio C. B. Soares, Silvio R. L. Meira:
Designing dilation-erosion perceptrons with differential evolutionary learning for air pressure forecasting. 595-602 - Pawel Raif, Janusz A. Starzyk:
Motivated learning in autonomous systems. 603-610 - Eva Kaslik, Seenith Sivasundaram:
Dynamics of fractional-order neural networks. 611-618 - Manan Suri, Veronique Sousa, Luca Perniola, Dominique Vuillaume, Barbara De Salvo:
Phase change memory for synaptic plasticity application in neuromorphic systems. 619-624 - John A. Bullinaria:
Text to phoneme alignment and mapping for speech technology: A neural networks approach. 625-632 - Sauptik Dhar, Vladimir Cherkassky:
Application of SOM to analysis of Minnesota soil survey data. 633-639 - Joshua G. Hughes, George G. Lendaris:
Explorations on system identification via higher-level application of Adaptive-Critic Approximate Dynamic Programming. 640-647 - Pitoyo Hartono:
Ensemble of perceptrons with confidence measure for piecewise linear decomposition. 648-653 - B. V. Phani, B. Chandra, Vijay Raghav:
Quest for efficient option pricing prediction model using machine learning techniques. 654-657 - Adam H. Peterson, Tony R. Martinez, George L. Rudolph:
On the structure of algorithm spaces. 658-665 - Vladimir Cherkassky, Sohini Roy Chowdhury, Volker Landenberger, Saurabh Tewari, Paul Bursch:
Prediction of electric power consumption for commercial buildings. 666-672 - Rohitash Chandra, Marcus R. Frean, Mengjie Zhang:
A memetic framework for cooperative coevolution of recurrent neural networks. 673-680 - Rohitash Chandra, Marcus R. Frean, Mengjie Zhang:
Modularity adaptation in cooperative coevolution of feedforward neural networks. 681-688 - Ryotaro Kamimura:
Cooperation control and enhanced class structure in self-organizing maps. 689-695 - Le An, Bir Bhanu:
Improved image super-resolution by Support Vector Regression. 696-700 - Ryota Yokote, Toshikazu Nakamura, Yasuo Matsuyama:
Independent component analysis with graphical correlation: Applications to multi-vision coding. 701-708 - Sepideh Sadeghi, Kiruthika Ramanathan:
A Hubel Wiesel model of early concept generalization based on local correlation of input features. 709-716 - Yutaro Yamashita, Hiroyuki Torikai:
A novel piece-wise constant analog spiking neuron model and its neuron-like excitabilities. 717-724 - José García Rodríguez, Anastassia Angelopoulou, Juan Manuel García Chamizo, Alexandra Psarrou, Sergio Orts, Vicente Morell:
Fast Autonomous Growing Neural Gas. 725-732 - Yoshifusa Ito, Hiroyuki Izumi, Cidambi Srinivasan:
Simultaneous learning of several Bayesian and Mahalanobis discriminant functions by a neural network with additional nodes. 733-740 - Takashi Matsubara, Hiroyuki Torikai:
A novel asynchronous digital spiking neuron model and its various neuron-like bifurcations and responses. 741-748 - Aram Kawewong, Sirinart Tangruamsub, Pichai Kankuekul, Osamu Hasegawa:
Fast online incremental transfer learning for unseen object classification using self-organizing incremental neural networks. 749-756 - Reza Khosrowabadi, Chai Quek, Kai Keng Ang, Sau Wai Tung, Michel Heijnen:
A Brain-Computer Interface for classifying EEG correlates of chronic mental stress. 757-762 - John C. Murray, Harry R. Erwin:
A neural network classifier for notch filter classification of sound-source elevation in a mobile robot. 763-769 - Matthew Cook, Luca Gugelmann, Florian Jug, Christoph Krautz, Angelika Steger:
Interacting maps for fast visual interpretation. 770-776 - Franck Dufrenois, Jean-Charles Noyer:
Discriminative Hat Matrix: A new tool for outlier identification and linear regression. 777-784 - Ronaldo Ribeiro Barbosa de Aquino, Otoni Nóbrega Neto, Milde M. S. Lira, Manoel A. Carvalho:
Solving a real large scale mid-term scheduling for power plants via hybrid intelligent neural networks systems. 785-792 - Isabelle Guyon, Gideon Dror, Vincent Lemaire, Graham W. Taylor, David W. Aha:
Unsupervised and transfer learning challenge. 793-800 - Ashfaqur Rahman, Brijesh K. Verma:
Ensemble classifier composition: Impact on feature based offline cursive character recognition. 801-807 - Yasuo Matsuyama:
Hidden Markov model estimation based on alpha-EM algorithm: Discrete and continuous alpha-HMMs. 808-816 - Cheng-Jian Lin, Chin-Ling Lee, Chun-Cheng Peng:
A self-organizing neural network using hierarchical particle swarm optimization. 817-820 - Cheng-Jian Lin, Chin-Ling Lee, Chun-Cheng Peng:
Chord recognition using neural networks based on Particle Swarm Optimization. 821-827 - Daniel Calderon Reyes, Tatiana Baidyk, Ernst M. Kussul:
Information coding with neural ensembles for a mobile robot. 828-835 - Nishal Shah, Frédéric Alexandre:
Reinforcement learning and dimensionality reduction: A model in computational neuroscience. 836-842 - Washington W. Azevedo, Cleber Zanchettin:
A MLP-SVM hybrid model for cursive handwriting recognition. 843-850 - Rakia Jaziri, Mustapha Lebbah, Nicoleta Rogovschi, Younès Bennani:
Probabilistic Self-Organizing Maps for multivariate sequences. 851-858 - Olivier Bichler, Damien Querlioz, Simon J. Thorpe, Jean-Philippe Bourgoin, Christian Gamrat:
Unsupervised features extraction from asynchronous silicon retina through Spike-Timing-Dependent Plasticity. 859-866 - Mario Malcangi:
Smart recognition and synthesis of emotional speech for embedded systems with natural user interfaces. 867-871 - Nistor Grozavu, Mohamad Ghassany, Younès Bennani:
Learning confidence exchange in Collaborative Clustering. 872-879 - Sivalogeswaran Ratnasingam, T. Martin McGinnity:
A spiking neural network for tactile form based object recognition. 880-885 - Daniel S. Levine:
The pitfalls of doing the right thing for the wrong reason. 886-891 - Sandeep Tiwari, Kiruthika Ramanathan:
Utilizing Hubel Wiesel models for semantic associations and topics extraction from unstructured text. 892-898 - Koichiro Yamauchi:
Pruning with replacement and automatic distance metric detection in limited general regression neural networks. 899-906 - Reghunadhan Rajesh, K. Rajeev, K. Suchithra, Lekhesh V. Prabhu, V. Gopakumar, N. K. Ragesh:
Coherence vector of Oriented Gradients for traffic sign recognition using Neural Networks. 907-910 - Zhitang Chen, Laiwan Chan:
New approaches for solving permutation indeterminacy and scaling ambiguity in frequency domain separation of convolved mixtures. 911-918 - B. Chandra, Kuppili Venkata Naresh Babu:
An improved architecture for Probabilistic Neural Networks. 919-924 - Sungmoon Jeong, Minho Lee:
Incremental object classification using hierarchical generative Gaussian mixture and topology based feature representation. 925-932 - Katsutoshi Miyahara, Masaru Kuroiwa, Gang Wang:
A statistical parametric method for the extraction of stimulus dependent activity from intrinsic optical signals. 933-936 - Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu:
A fast learning algorithm with Promising Convergence Capability. 937-942 - Francesco Galluppi, Steve B. Furber:
Representing and decoding rank order codes using polychronization in a network of spiking neurons. 943-950 - Toshiki Wakamatsu, Haruhiko Takase, Hiroharu Kawanaka, Shinji Tsuruoka:
A training algorithm for SpikeProp improving stability of learning process. 951-955 - Jean-Charles Lamirel, Raghvendra Mall, Pascal Cuxac, Ghada Safi:
Variations to incremental growing neural gas algorithm based on label maximization. 956-965 - Nima Reyhani, Erkki Oja:
Non-Gaussian component analysis using Density Gradient Covariance matrix. 966-972 - Markus Thom, Roland Schweiger, Günther Palm:
Supervised Matrix Factorization with sparseness constraints and fast inference. 973-979 - Naho Ito, Masafumi Hagiwara:
Natural language generation using automatically constructed lexical resources. 980-987 - B. Chandra, Shalini Bhaskar:
A new algorithm for graph mining. 988-995 - Yu-Ju Lee, Chuan-Yung Tsai, Liang-Gee Chen:
A cortex-like model for rapid object recognition using feature-selective hashing. 996-1002 - Cornelius Glackin, Liam P. Maguire, Liam McDaid, John J. Wade:
Lateral inhibitory networks: Synchrony, edge enhancement, and noise reduction. 1003-1009 - Christophe Salperwyck, Vincent Lemaire:
Learning with few examples: An empirical study on leading classifiers. 1010-1019 - Frank W. Samuelson, David G. Brown:
Application of Cover's theorem to the evaluation of the performance of CI observers. 1020-1026 - Aurel A. Lazar, Yiyin Zhou:
Realizing Video Time Decoding Machines with recurrent neural networks. 1027-1034 - Yasuaki Kuroe:
Models of clifford recurrent neural networks and their dynamics. 1035-1041 - Diego Viejo, José García Rodríguez, Miguel Cazorla, David Gil Méndez, Magnus Johnsson:
Using 3D GNG-based reconstruction for 6DoF egomotion. 1042-1048 - Gonzalo Safont, Addisson Salazar, Luis Vergara, Raul Llinares, Jorge Igual:
Wiener systems for reconstruction of missing seismic traces. 1049-1053 - Marcilio C. P. de Souto, José Carlos Martins Oliveira, Teresa Bernarda Ludermir:
A tool to implement probabilistic automata in RAM-based neural networks. 1054-1060 - Pierre Cagnac, Noel Di Noia, Chao-Hui Huang, Daniel Racoceanu, Laurent Chaudron:
Consciousness-driven model for visual attention. 1061-1066 - Alma Y. Alanis, Michel López-Franco, Nancy Arana-Daniel, Carlos López-Franco:
Discrete-time neural identifier for electrically driven nonholonomic mobile robots. 1067-1073 - Nathan Green, Manjeet Rege, Xumin Liu, Reynold Bailey:
Evolutionary spectral co-clustering. 1074-1081 - Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir:
Uncertainty sampling methods for selecting datasets in active meta-learning. 1082-1089 - Ioana Sporea, André Grüning:
Reference time in SpikeProp. 1090-1092 - Kou-Yuan Huang, Liang-Chi Shen, Li-Sheng Weng:
Radial basis function network for well log data inversion. 1093-1098 - Thomas Sharp, Cameron Patterson, Steve B. Furber:
Distributed configuration of massively-parallel simulation on SpiNNaker neuromorphic hardware. 1099-1105 - Golrokh Mirzaei, Mohammad Wadood Majid, Mohsin M. Jamali, Jeremy Ross, Joseph P. Frizado, Peter V. Gorsevski, Verner P. Bingman:
The application of Evolutionary Neural Network for bat echolocation calls recognition. 1106-1111 - Laura Emmanuella A. Santana, Anne M. P. Canuto, Ligia Silva:
Bio-inspired meta-heuristic as feature selector in ensemble systems: A comparative analysis. 1112-1119 - Olivier Temam, Rodolphe Héliot:
Implementation of signal processing tasks on neuromorphic hardware. 1120-1125 - Rafael M. O. Cruz, George D. C. Cavalcanti, Ing Ren Tsang:
A method for dynamic ensemble selection based on a filter and an adaptive distance to improve the quality of the regions of competence. 1126-1133 - Richard C. Windecker:
Stochastic Artificial Neural Networks and random walks. 1134-1140 - Vladimir Pestov:
PAC learnability versus VC dimension: A footnote to a basic result of statistical learning. 1141-1145 - Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris:
On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems. 1146-1153 - Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella:
In-sample model selection for Support Vector Machines. 1154-1161 - Arfan Ghani, Liam McDaid, Ammar Belatreche, Peter M. Kelly, Steve Hall, Thomas Dowrick, Shou Huang, John Marsland, Andy W. Smith:
Evaluating the training dynamics of a CMOS based synapse. 1162-1168 - Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella:
Selecting the hypothesis space for improving the generalization ability of Support Vector Machines. 1169-1176 - A. Ravishankar Rao, Guillermo A. Cecchi:
The effects of feedback and lateral connections on perceptual processing: A study using oscillatory networks. 1177-1184 - Rigoberto Fonseca, Pilar Gómez-Gil, Jesus A. Gonzalez, Iván Olmos:
Finding patterns in labeled graphs using spectrum feature vectors in a SOM network. 1185-1190 - Leo Pape, Faustino J. Gomez, Juergen Ring, Jürgen Schmidhuber:
Modular deep belief networks that do not forget. 1191-1198 - Lídio Mauro Lima de Campos, Mauro Roisenberg, Roberto Célio Limão de Oliveira:
Automatic design of Neural Networks with L-Systems and genetic algorithms - A biologically inspired methodology. 1199-1206 - David Gil Méndez, José García Rodríguez, Miguel Cazorla, Magnus Johnsson:
Predictions tasks with words and sequences: Comparing a novel recurrent architecture with the Elman network. 1207-1213 - Baohua Li, Jennie Si:
Belief function model for reliable optimal set estimation of transition matrices in discounted infinite-horizon Markov decision processes. 1214-1221 - Renato R. da Silva, Roseli Aparecida Francelin Romero:
Relational reinforcement learning and recurrent neural network with state classification to solve joint attention. 1222-1229 - Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda, Masa-aki Sato:
Phase diagrams of a variational Bayesian approach with ARD prior in NIRS-DOT. 1230-1236 - William Cukierski, Benjamin Hamner, Bo Yang:
Graph-based features for supervised link prediction. 1237-1244 - Mojtaba Seyedhosseini, António R. C. Paiva, Tolga Tasdizen:
Fast AdaBoost training using weighted novelty selection. 1245-1250 - Jindong Liu, Harry R. Erwin, Guang-Zhong Yang:
Attention driven computational model of the auditory midbrain for sound localization in reverberant environments. 1251-1258 - Jing Chao, Furao Shen, Jinxi Zhao:
Forecasting exchange rate with deep belief networks. 1259-1266 - Daniela Sánchez, Patricia Melin, Oscar Castillo:
Hierarchical genetic optimization of modular neural networks and their type-2 fuzzy response integrators for human recognition based on multimodal biometry. 1267-1274 - Shuqing Zeng, Yanhua Chen:
Online-learned classifiers for robust multitarget tracking. 1275-1280 - Songlin Zhao, José Carlos Príncipe:
A nonparametric information theoretic approach for change detection in time series. 1281-1284 - Akio Yoshida, Yuko Osana:
Chaotic Complex-valued Multidirectional Associative Memory with variable scaling factor - One-to-many association ability -. 1285-1292 - Xueyi Wang:
A fast exact k-nearest neighbors algorithm for high dimensional search using k-means clustering and triangle inequality. 1293-1299 - Akira Cho, Yuko Osana:
Melody retrieval by self-organizing map with refractoriness which has robustness for fluctuation of key input. 1300-1307 - Eduardo Vázquez-Santacruz, Eduardo Bayro-Corrochano:
An improved geometric Radial Basis function Network for Hand-Eye Calibration. 1308-1315 - Steven Gutstein, Olac Fuentes, Eric Freudenthal:
Latent learning - What your net also learned. 1316-1321 - Weike Pan, James T. Kwok:
Structured clustering with automatic kernel adaptation. 1322-1327 - Igor N. Aizenberg, Jacob Jackson, Shane Alexander:
Classification of blurred textures using multilayer neural network based on multi-valued neurons. 1328-1335 - Subha Danushika Fernando, Koichi Yamada, Ashu Marasinghe:
Observed Stent's anti-Hebbian postulate on dynamic stochastic computational synapses. 1336-1343 - Anwesha Khasnobish, Saugat Bhattacharyya, Amit Konar, D. N. Tibarewala, Atulya K. Nagar:
A Two-fold classification for composite decision about localized arm movement from EEG by SVM and QDA techniques. 1344-1351 - Zhengyang Chin, Kai Keng Ang, Cuntai Guan, Chuanchu Wang, Haihong Zhang:
Filter Bank Feature Combination (FBFC) approach for brain-computer interface. 1352-1357 - Jacques A. Dolan, Ritchie Lee, Yoo-Hsiu Yeh, Chiping Yeh, Daniel Y. Nguyen, Shahar Ben-Menahem, Abraham K. Ishihara:
Neural network estimation of photovoltaic I-V curves under partially shaded conditions. 1358-1365 - Masaaki Kimura, Teijiro Isokawa, Haruhiko Nishimura, Nobuyuki Matsui:
On retrieval performance of associative memory by Complex-valued Synergetic Computer. 1366-1371 - Suresh Sundaram, Ramaswamy Savitha, Narasimhan Sundararajan:
A fast learning Fully Complex-valued Relaxation Network (FCRN). 1372-1377 - Ying Hu, Anthony Kuh, Aleksandar Kavcic, Dora Nakafuji:
Real-time state estimation on micro-grids. 1378-1385 - Michael J. Newton, Leslie S. Smith:
Biologically-inspired neural coding of sound onset for a musical sound classification task. 1386-1393 - Alberione Braz da Silva, João Luís Garcia Rosa:
Advances on criteria for biological plausibility in artificial neural networks: Think of learning processes. 1394-1401 - Pingping Zhu, Badong Chen, José C. Príncipe:
Extended Kalman filter using a kernel recursive least squares observer. 1402-1408 - Alexandre Pitti, Yasuo Kuniyoshi:
Modeling the cholinergic innervation in the infant cortico-hippocampal system and its contribution to early memory development and attention. 1409-1416 - Nadia Mammone, Francesco Carlo Morabito:
Analysis of absence seizure EEG via Permutation Entropy spatio-temporal clustering. 1417-1422 - Yoshihiro Kato, Yasuhiro Ueda, Yoko Uwate, Yoshifumi Nishio:
Cellular Neural Networks with switching two types of templates. 1423-1428 - Nathan Rose:
Selective adjustment of rotationally-asymmetric neuron σ-widths. 1429-1436 - Tao Zhou, Piotr Dudek, Bertram E. Shi:
Self-Organizing Neural Population Coding for improving robotic visuomotor coordination. 1437-1444 - Katsunari Shibata, Hiroki Utsunomiya:
Discovery of pattern meaning from delayed rewards by reinforcement learning with a recurrent neural network. 1445-1452 - Johannes Stallkamp, Marc Schlipsing, Jan Salmen, Christian Igel:
The German Traffic Sign Recognition Benchmark: A multi-class classification competition. 1453-1460 - Enrico Heinrich, Ralf Joost, Ralf Salomon:
A digital implementation of the nucleus laminaris. 1461-1465 - Lester L. Solbakken, Steffen Junge:
Online parts-based feature discovery using competitive activation neural networks. 1466-1473 - Irena Koprinska, Mashud Rana, Vassilios G. Agelidis:
Yearly and seasonal models for electricity load forecasting. 1474-1481 - Luciana C. D. Campos, Marley Maria Bernardes Rebuzzi Vellasco, Juan G. Lazo Lazo:
A stochastic model based on neural networks. 1482-1488 - Md. Faijul Amin, Ramaswamy Savitha, Muhammad Ilias Amin, Kazuyuki Murase:
Complex-valued functional link network design by orthogonal least squares method for function approximation problems. 1489-1496 - Chin-Teng Lin, Shi-An Chen, Li-Wei Ko, Yu-Kai Wang:
EEG-based brain dynamics of driving distraction. 1497-1500 - Saeed Khakmardan, Hanieh Poostchi, M.-R. Akbarzadeh-T.:
Solving Traveling Salesman Problem by a hybrid combination of PSO and Extremal Optimization. 1501-1507 - Telmo de Menezes e Silva Filho, Renata M. C. R. de Souza:
Pattern classifiers with adaptive distances. 1508-1514 - Sergey Tarasenko:
A general framework for development of the cortex-like visual object recognition system: Waves of spikes, predictive coding and universal dictionary of features. 1515-1522 - Shuhei Ohno, Hideyuki Kato, Tohru Ikeguchi:
Neuronal avalanche induced by multiplicative spike-timing-dependent plasticity. 1523-1529 - Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
On the behavior of feature selection methods dealing with noise and relevance over synthetic scenarios. 1530-1537 - Frank-Michael Schleif:
Sparse kernelized vector quantization with local dependencies. 1538-1545 - Rajiv Khosla, Mei-Tai Chu, K. G. Yamada, K. Kuneida, S. Oga:
Innovative embodiment of job interview in emotionally aware communication robot. 1546-1552 - Corneliu T. C. Arsene, Paulo J. G. Lisboa:
PLANN-CR-ARD model predictions and Non-parametric estimates with Confidence Intervals. 1553-1561 - Norbert Tsopzé, Engelbert Mephu Nguifo, Gilbert Tindo:
Towards a generalization of decompositional approach of rule extraction from multilayer artificial neural network. 1562-1569 - Keiji Tatsumi, Masato Tai, Tetsuzo Tanino:
Nonlinear extension of multiobjective multiclass support vector machine based on the one-against-all method. 1570-1576 - Juri Belikov, Eduard Petlenkov:
Neuro-fuzzy dynamic pole placement control of nonlinear discrete-time systems. 1577-1582 - Vaibhav Gandhi, Vipul Arora, Laxmidhar Behera, Girijesh Prasad, Damien Coyle, T. Martin McGinnity:
EEG denoising with a recurrent quantum neural network for a brain-computer interface. 1583-1590 - KongFatt Wong-Lin, Girijesh Prasad, T. Martin McGinnity:
A spiking neuronal network model of the dorsal raphe nucleus. 1591-1598 - Leandro F. Cupertino, Omar Paranaiba Vilela Neto, Marco Aurélio Cavalcanti Pacheco, Marley M. B. R. Vellasco, Jose Roberto d'Almeida:
Modeling the young modulus of nanocomposites: A neural network approach. 1599-1605 - Ken Saito, Kazuto Okazaki, Kentaro Sakata, Tatsuya Ogiwara, Yoshifumi Sekine, Fumio Uchikoba:
Pulse-Type Hardware Inhibitory Neural Networks for MEMS micro robot using CMOS technology. 1606-1611 - Bruno J. T. Fernandes, George D. C. Cavalcanti, Tsang Ing Ren:
Autoassociative Pyramidal Neural Network for face verification. 1612-1617 - Gavin C. Cawley, Steven Hayward, Gareth J. Janacek, Geoff R. Moore:
Sparse Bayesian prediction of disordered residues and disordered regions based on amino-acid composition. 1618-1623 - Esteban J. Palomo, Enrique Domínguez:
Image compression based on growing hierarchical Self-Organizing Maps. 1624-1628 - Jean-Charles Quinton, Bernard Girau:
Predictive neural fields for improved tracking and attentional properties. 1629-1636 - Si-Yao Fu, Guosheng Yang, Zeng-Guang Hou:
Spiking neural networks based cortex like mechanism: A case study for facial expression recognition. 1637-1642 - Takayuki Kimura, Tohru Ikeguchi:
Chaotic routing strategy with load-balanced effects for communication networks. 1643-1650 - Davide Bacciu, Alessio Micheli, Alessandro Sperduti:
Adaptive tree kernel by multinomial generative topographic mapping. 1651-1658 - Kazuhito Sato, Hirokazu Madokoro, Toshimitsu Otani, Sakura Kadowaki:
Experimental studies with a hybrid model of unsupervised neural networks. 1659-1666 - Robinson E. Pino, Michael J. Moore, Jason Rogers, Qing Wu:
A columnar V1/V2 visual cortex model and emulation using a PS3 cell-BE array. 1667-1674 - Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
An effective just-in-time adaptive classifier for gradual concept drifts. 1675-1682 - Bruno Apolloni, Simone Bassis, Lorenzo Valerio:
Training a network of mobile neurons. 1683-1691 - Nam Hoai Nguyen, Martin Hagan:
Stability analysis of layered digital dynamic networks using dissipativity theory. 1692-1699 - Yili Xia, Scott C. Douglas, Danilo P. Mandic:
Widely linear adaptive frequency estimation in three-phase power systems under unbalanced voltage sag conditions. 1700-1705 - Kristina Vassiljeva, Juri Belikov, Eduard Petlenkov:
Neural networks based minimal or reduced model representation for control of nonlinear MIMO systems. 1706-1713 - Qinru Qiu, Qing Wu, Richard W. Linderman:
Unified perception-prediction model for context aware text recognition on a heterogeneous many-core platform. 1714-1721 - Talitha Rubio, Tiantian Zhang, Michael Georgiopoulos, Assem Kaylani:
Multi-objective evolutionary optimization of exemplar-based classifiers: A PNN test case. 1722-1731 - Manuel Martín-Merino:
A semi-supervised clustering algorithm that integrates heterogeneous dissimilarities and data sources. 1732-1739 - Esteban J. Palomo, John North, David A. Elizondo, Rafael Marcos Luque, Tim Watson:
Visualisation of network forensics traffic data with a self-organising map for qualitative features. 1740-1747 - Jean-Christophe Sarrazin, Vanessa González, Bruno Berberian, Arnaud Tonnelier:
The temporality of consciousness: Computational principles of a single information integration-propagation process (I2P2). 1748-1752 - Martin Peniak, Anthony F. Morse, Christopher Larcombe, Salomón Ramírez-Contla, Angelo Cangelosi:
Aquila: An open-source GPU-accelerated toolkit for cognitive and neuro-robotics research. 1753-1760 - Daniel M. Riley, Ganesh K. Venayagamoorthy:
Characterization and modeling of a grid-connected photovoltaic system using a Recurrent Neural Network. 1761-1766 - Jose Hugo Barron-Zambrano, César Torres-Huitzil:
Two-phase GA parameter tunning method of CPGs for quadruped gaits. 1767-1774 - Damien Querlioz, Olivier Bichler, Christian Gamrat:
Simulation of a memristor-based spiking neural network immune to device variations. 1775-1781 - Kelly J. Gurubel, Edgar N. Sánchez, Salvador Carlos-Hernandez:
Dynamic learning rate (ηD) for recurrent high order neural observer (RHONO): Anaerobic process application. 1782-1787 - Oana Geman, Cornel Turcu:
Partitioning methods used in DBS treatments analysis results. 1788-1793 - Amirhosein Shantia, Eric Begue, Marco A. Wiering:
Connectionist reinforcement learning for intelligent unit micro management in StarCraft. 1794-1801 - Cameron Johnson, Sinchan Roychowdhury, Ganesh Kumar Venayagamoorthy:
A reversibility analysis of encoding methods for spiking neural networks. 1802-1809 - Sergio Davies, Alexander D. Rast, Francesco Galluppi, Steve B. Furber:
A forecast-based biologically-plausible STDP learning rule. 1810-1817 - Yuxin Ding, Di Zhou, Min Xiao, Li Dong:
Learning to rank relational objects based on the listwise approach. 1818-1824 - Arvind Narayanan, Elaine Shi, Benjamin I. P. Rubinstein:
Link prediction by de-anonymization: How We Won the Kaggle Social Network Challenge. 1825-1834 - Daniel de Araújo, Adrião Duarte Dória Neto, Allan de Medeiros Martins, Jorge Dantas de Melo:
Comparative study on dimension reduction techniques for cluster analysis of microarray data. 1835-1842 - Riemann Ruiz, Edgar N. Sánchez, Alexander G. Loukianov:
Discrete-time neural block control for a doubly fed induction generator. 1843-1848 - Rocco Langone, Carlos Alzate, Johan A. K. Suykens:
Modularity-based model selection for kernel spectral clustering. 1849-1856 - Riccardo Taormina, Luca Mesin, Fiammetta Orione, Eros Pasero:
Forecasting tropospheric ozone concentrations with adaptive neural networks. 1857-1863 - Julio J. Valdés, Catherine Cheung, Weichao Wang:
Computational intelligence methods for helicopter loads estimation. 1864-1871 - Yuhua Zheng, Yan Meng:
A Hybrid system with what-where-memory for multi-object recognition. 1872-1879 - Matthew Conforth, Yan Meng:
Self-reorganizing knowledge representation for autonomous learning in social agents. 1880-1887 - Rocio Carrasco, Edgar N. Sánchez, Salvador Carlos-Hernandez:
Neural network identification for biomass gasification kinetic model. 1888-1893 - Matthew Conforth, Yan Meng:
CHARISMA: A Context Hierarchy-based cognitive architecture for self-motivated social agents. 1894-1901 - Paolo Arena, Luca Patané, Pietro Savio Termini:
An insect brain inspired neural model for object representation and expectation. 1902-1909 - Arslan Shaukat, Ke Chen:
Emotional state recognition from speech via soft-competition on different acoustic representations. 1910-1917 - Dan C. Ciresan, Ueli Meier, Jonathan Masci, Jürgen Schmidhuber:
A committee of neural networks for traffic sign classification. 1918-1921 - Vamsi K. Potluru, Sergey M. Plis, Shuang Luan, Vince D. Calhoun, Thomas P. Hayes:
Sparseness and a reduction from Totally Nonnegative Least Squares to SVM. 1922-1929 - B. S. Mahanand, Suresh Sundaram, Narasimhan Sundararajan, M. Aswatha Kumar:
Alzheimer's disease detection using a Self-adaptive Resource Allocation Network classifier. 1930-1934 - Tatiana Tambouratzis:
Identification of key music symbols for optical music recognition and on-screen presentation. 1935-1942 - Carlos Affonso, Renato José Sassi, Ricardo P. Ferreira:
Traffic flow breakdown prediction using feature reduction through Rough-Neuro Fuzzy Networks. 1943-1947 - Jacques M. Bahi, Nathalie Côté, Christophe Guyeux:
Chaos of protein folding. 1948-1954 - Kypros H. Nicolaides, Kleanthis C. Neokleous, Christos N. Schizas, Costas Neocleous:
Artificial neural networks to investigate the significance of PAPPA and b-hCG for the prediction of chromosomal abnormalities. 1955-1958 - Michael Gashler, Tony R. Martinez:
Temporal nonlinear dimensionality reduction. 1959-1966 - Alexander D. Rast, Francesco Galluppi, Sergio Davies, Luis A. Plana, Thomas Sharp, Steve B. Furber:
An event-driven model for the SpiNNaker virtual synaptic channel. 1967-1974 - Helmut A. Mayer:
Evolution of robotic neurocontrollers with intrinsic noise and their behavior in noisy environments. 1975-1980 - Julie A. Wall, T. Martin McGinnity, Liam P. Maguire:
A comparison of sound localisation techniques using cross-correlation and spiking neural networks for mobile robotics. 1981-1987 - Fania Mokhayeri, M.-R. Akbarzadeh-T.:
A novel facial feature extraction method based on ICM network for affective recognition. 1988-1993 - Rakesh Chalasani, José C. Príncipe:
Sparse analog associative memory via L1-regularization and thresholding. 1994-1999 - Ronaldo Ribeiro Barbosa de Aquino, Aida Araujo Ferreira, Milde M. S. Lira, Otoni Nóbrega Neto, Priscila S. Amorim, Carlos F. D. Diniz, Tatiana M. A. de Silveira:
Short-term load forecasting for electrical regional of a distribution utility considering temperature. 2000-2004 - Guilherme V. Carvalho, Lailson B. Moraes, George D. C. Cavalcanti, Ing Ren Tsang:
A weighted image reconstruction based on PCA for pedestrian detection. 2005-2011 - Songlin Zhao, Badong Chen, José C. Príncipe:
Kernel adaptive filtering with maximum correntropy criterion. 2012-2017 - Alma Y. Alanis, Edgar N. Sánchez, Eduardo Ruiz-Velázquez, Blanca S. Leon:
Neural model of blood glucose level for Type 1 Diabetes Mellitus Patients. 2018-2023 - Udhay Ravishankar, Milos Manic:
A hardware suitable Integrated Neural System for Autonomous Vehicles - Road Structuring and Path Tracking. 2024-2030 - Todd K. Leen, Robert Friel:
Perturbation theory for stochastic learning dynamics. 2031-2038 - Jose Lima Alexandrino, Cleber Zanchettin, Edson Costa de Barros Carvalho Filho:
Evolving Clonal Adaptive Resonance Theory based on ECOS theory. 2039-2046 - Shogo Okada, Toyoaki Nishida:
Online incremental clustering with distance metric learning for high dimensional data. 2047-2054 - Bernardete Ribeiro, Ning Chen:
Graph weighted subspace learning models in bankruptcy. 2055-2061 - Timothy L. Andersen:
Proving the efficacy of complementary inputs for multilayer neural networks. 2062-2066 - Boyu Wang, Feng Wan, Peng Un Mak, Pui-In Mak, Mang I Vai:
Entropy penalized learning for Gaussian mixture models. 2067-2073 - Robyn Vandermeulen, Laurence Morissette, Sylvain Chartier:
Modeling prosopagnosia using dynamic artificial neural networks. 2074-2079 - Garrett S. Rose, Robinson E. Pino, Qing Wu:
A low-power memristive neuromorphic circuit utilizing a global/local training mechanism. 2080-2086 - Derrik E. Asher, Andrew Zaldivar, Brian Barton, Alyssa A. Brewer, Jeffrey L. Krichmar:
The effects of neuromodulation on human-robot interaction in games of conflict and cooperation. 2087 - Jordan M. Malof, Adam E. Gaweda:
Optimizing drug therapy with Reinforcement Learning: The case of Anemia Management. 2088-2092 - Shen Xu, Ruoqian Liu, Dai Li, Yi Lu Murphey:
A hybrid system ensemble based time series signal classification on driver alertness detection. 2093-2099 - Craig M. Vineyard, Stephen J. Verzi, Michael L. Bernard, Shawn E. Taylor, Wendy L. Shaneyfelt, Irene Dubicka, Jonathan T. McClain, Thomas P. Caudell:
A neurophysiologically inspired hippocampus based associative-ART Artificial neural network architecture. 2100-2105 - Ahmed A. Othman, Hamid R. Tizhoosh:
Neural image thresholding with SIFT-Controlled gabor features. 2106-2112 - Sven Nõmm, Ülle Kotta:
Comparison of neural networks-based ANARX and NARX models by application of correlation tests. 2113-2118 - Chiman Wong, Boyu Wang, Feng Wan, Peng Un Mak, Pui-In Mak, Mang I Vai:
A Solution to harmonic frequency problem: Frequency and phase coding-based brain-computer interface. 2119-2126 - Guénaël Cabanes, Younès Bennani:
Coupling clustering and visualization for knowledge discovery from data. 2127-2134 - Thomas P. Caudell, Cheir T. Burch, Mustafa Zengin, Nathan Gauntt, Michael J. Healy:
Retrospective learning of spatial invariants during object classification by embodied autonomous neural agents. 2135-2142 - Iveta Mrázová, Zuzana Reitermanová:
A new sensitivity-based pruning technique for feed-forward neural networks that improves generalization. 2143-2150 - Fatin Zaklouta, Bogdan Stanciulescu, Omar Hamdoun:
Traffic sign classification using K-d trees and Random Forests. 2151-2155 - Zhihang Chen, Shiqi Qiu, M. Abul Masrur, Yi Lu Murphey:
Battery state of charge estimation based on a combined model of Extended Kalman Filter and neural networks. 2156-2163 - Roberto Antonio Vázquez, Bernard Girau, Jean-Charles Quinton:
Visual attention using spiking neural maps. 2164-2171 - Nian Zhang, Shuhua Lai:
Water quantity prediction based on particle swarm optimization and evolutionary algorithm using recurrent neural networks. 2172-2176 - Mary Malliaris, Maria Pappas:
Hospital foundation actions: Neural network model variable importance. 2177-2183 - Nan Zhao, Washington Mio, Xiuwen Liu:
A hybrid PCA-LDA model for dimension reduction. 2184-2190 - Andrés F. Serna-Morales, Flavio Prieto, Eduardo Bayro-Corrochano, Edgar N. Sánchez:
3D modeling of virtualized reality objects using neural computing. 2191-2198 - Alessandro G. Di Nuovo, Davide Marocco, Santo Di Nuovo, Angelo Cangelosi:
A Neural Network model for spatial mental imagery investigation: A study with the humanoid robot platform iCub. 2199-2204 - Oresti Baños, Miguel Damas, Héctor Pomares, Ignacio Rojas:
Recognition of human physical activity based on a novel hierarchical weighted classification scheme. 2205-2209 - Fabio Boi, Lorenzo Gagliardini:
A Support Vector Machines network for traffic sign recognition. 2210-2216 - Olivier F. Manette:
Local learning rules for spiking neurons with dendrite. 2217-2221 - Manuel Gámez, Edgar N. Sánchez, Luis J. Ricalde:
Optimal operation via a recurrent neural network of a wind-solar energy system. 2222-2228 - Marta Ruiz-Llata, Guillermo Guarnizo, Carlos Boya:
Embedded power quality monitoring system based on Independent Component Analysis and SVMs. 2229-2234 - Diego Silveira Costa Nascimento, Anne Magály de Paula Canuto, Ligia Maria Moura e Silva, André Luís Vasconcelos Coelho:
Combining different ways to generate diversity in bagging models: An evolutionary approach. 2235-2242 - Savitha Ramasamy, Suresh Sundaram, Ramaswamy Savitha:
A Fast Learning Complex-valued Neural Classifier for real-valued classification problems. 2243-2249 - Ali Yousefi, Alireza A. Dibazar, Theodore W. Berger:
Supervised learning in a single layer Dynamic Synapses Neural Network. 2250-2257 - Yoonsuck Choe, David Mayerich, Jaerock Kwon, Daniel E. Miller, Ji Ryang Chung, Chul Sung, John Keyser, Louise C. Abbott:
Knife-edge scanning microscopy for connectomics research. 2258-2265 - Chao Qu, Bertram E. Shi:
The role of orientation diversity in binocular vergence control. 2266-2272 - Fatma Hamdi, Younès Bennani:
Learning random subspace novelty detection filters. 2273-2280 - Hially Rodrigues de Sa, Ricardo Bastos Cavalcante Prudêncio:
Supervised link prediction in weighted networks. 2281-2288 - Fernando Corinto, Alon Ascoli, Marco Gilli:
Class of all i-v dynamics for memristive elements in pattern recognition systems. 2289-2296 - Luciano D. S. Pacífico, Francisco de A. T. de Carvalho:
A batch self-organizing maps algorithm based on adaptive distances. 2297-2304 - Manda Winlaw, Leila Samimi-Dehkordi, Ali Ghodsi:
Robust locally linear embedding using penalty functions. 2305-2312 - Qiao Cai, Haibo He, Hong Man:
Hybrid learning based on Multiple Self-Organizing Maps and Genetic Algorithm. 2313-2320 - Trung Le, Dat Tran, Phuoc Nguyen, Wanli Ma, Dharmendra Sharma:
Multiple distribution data description learning method for novelty detection. 2321-2326 - Helton Maia Peixoto, Anthony A. R. Diniz, Nathalee Cavalcante de Almeida, Jorge Dantas de Melo, Ana Maria G. Guerreiro, Adrião Duarte Dória Neto:
Modeling a system for monitoring an object using artificial neural networks and reinforcement learning. 2327-2332 - Zhen Ni, Haibo He, Danil V. Prokhorov, Jian Fu:
An online actor-critic learning approach with Levenberg-Marquardt algorithm. 2333-2340 - Jun Miao, Lijuan Duan, Laiyun Qing, Yuanhua Qiao:
An improved neural architecture for gaze movement control in target searching. 2341-2348 - Carlos Alzate, Johan A. K. Suykens:
Out-of-sample eigenvectors in kernel spectral clustering. 2349-2356 - Derek Harter:
Functional and physical constraints for evolving small-world structure in embodied networks. 2357-2362 - Armando A. Gonçalves, Igor Alencar, Ing Ren Tsang, George D. C. Cavalcanti:
GA-PAT-KNN: Framework for time series forecasting. 2363-2367 - Leandro Augusto da Silva, Emilio Del-Moral-Hernandez:
A SOM combined with KNN for classification task. 2368-2373 - Hyung-Ook Park, Alireza A. Dibazar, Theodore W. Berger:
Discrete Synapse Recurrent Neural Network with time-varying delays for nonlinear system modeling and its application on seismic signal classification. 2374-2381 - Bao Liu, Junhong Wang, Huachao Qu:
A novel neural network inspired from Neuroendocrine-Immune System. 2382-2386 - Francesco Carlo Morabito, Matteo Cacciola, Gianluigi Occhiuto:
Creative brain and abstract art: A quantitative study on Kandinskij paintings. 2387-2394 - Debbie Hernández, Wen Yu, Marco A. Moreno-Armendáriz:
Neural PD control with second-order sliding mode compensation for robot manipulators. 2395-2402 - Fernando Corinto, Alon Ascoli, Valentina Lanza, Marco Gilli:
Memristor synaptic dynamics' influence on synchronous behavior of two Hindmarsh-Rose neurons. 2403-2408 - Cristiano de Santana Pereira, George D. C. Cavalcanti:
Instance selection algorithm based on a Ranking Procedure. 2409-2416 - Isao Hayashi, Megumi Kiyotoki, Ai Kiyohara, Minori Tokuda, Suguru N. Kudoh:
Fuzzy bio-interface: Indicating logicality from living neuronal network and learning control of bio-robot. 2417-2423 - Heiko Hoffmann, Michael D. Howard, Michael J. Daily:
Fast pattern matching with time-delay neural networks. 2424-2429 - Shenglan Ben, Zhong Jin, Jingyu Yang:
Guided fuzzy clustering with multi-prototypes. 2430-2436 - Gustavo H. T. Ribeiro, Paulo S. G. de Mattos Neto, George D. C. Cavalcanti, Ing Ren Tsang:
Lag selection for time series forecasting using Particle Swarm Optimization. 2437-2444 - Pedro Henrique Gouvêa Coelho, Luiz Biondi Neto:
Preliminary studies on parameter aided EKF-CRTRL equalizer training for fast fading channels. 2445-2449 - Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira, George D. C. Cavalcanti:
A simulation environment for volatility analysis of developed and in development markets. 2450-2456 - Heike Sichtig, Alberto Riva:
An innovative Positional Pattern Detection tool applied to GAL4 Binding Sites in yeast. 2457-2464 - Shingo Nakamura, Shuji Hashimoto:
Application of hybrid learning strategy for manipulator robot. 2465-2470 - Dumidu Wijayasekara, Ondrej Linda, Milos Manic:
CAVE-SOM: Immersive visual data mining using 3D Self-Organizing Maps. 2471-2478 - Fahad Moiz, Prasad Natoo, Reza Derakhshani, Walter D. Leon-Salas:
A comparative study of classification methods for gesture recognition using a 3-axis accelerometer. 2479-2486 - Yang Mu, Wei Ding, Dacheng Tao, Tomasz F. Stepinski:
Biologically inspired model for crater detection. 2487-2494 - Noel Lopes, Bernardete Ribeiro:
A fast optimized semi-supervised non-negative Matrix Factorization algorithm. 2495-2500 - Hassan Bagher-Ebadian, Siamak P. Nejad-Davarani, Meser M. Ali, Stephen Brown, Malek Makki, Quan Jiang, Douglas C. Noll, James R. Ewing:
Magnetic resonance imaging estimation of longitudinal relaxation rate change (ΔR1) in dual gradient echo sequences using an adaptive model. 2501-2506 - Suresh Sundaram, Kartick Subramanian:
A sequential learning algorithm for meta-cognitive neuro-fuzzy inference system for classification problems. 2507-2512 - Jin-Song Pei, Joseph P. Wright, Sami F. Masri, Eric C. Mai, Andrew W. Smyth:
Toward constructive methods for sigmoidal neural networks - function approximation in engineering mechanics applications. 2513-2519 - Shuo Chen, Chengjun Liu:
A new efficient SVM and its application to real-time accurate eye localization. 2520-2527 - Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Kernel principal subspace Mahalanobis distances for outlier detection. 2528-2535 - Chihiro Ikuta, Yoko Uwate, Yoshifumi Nishio:
Performance and features of Multi-Layer Perceptron with impulse glial network. 2536-2541 - Qing Song:
Robust Jordan network for nonlinear time series prediction. 2542-2549 - Reza Jafari, Martin Hagan:
Global stability analysis using the method of Reduction Of Dissipativity Domain. 2550-2556 - Hassan Bagher-Ebadian, Rajan Jain, Ramesh Paudyal, Siamak P. Nejad-Davarani, Jayant Narang, Quan Jiang, Tom Mikkelsen, James R. Ewing:
Magnetic resonance estimation of longitudinal relaxation time (T1) in spoiled gradient echo using an adaptive neural network. 2557-2562 - Zlatko Vasilkoski, Heather Ames, Ben Chandler, Anatoli Gorchetchnikov, Jasmin Léveillé, Gennady Livitz, Ennio Mingolla, Massimiliano Versace:
Review of stability properties of neural plasticity rules for implementation on memristive neuromorphic hardware. 2563-2569 - Yi-Ren Yeh, Yung-Yu Chung, Ting-Chu Lin, Yu-Chiang Frank Wang:
Group lasso regularized multiple kernel learning for heterogeneous feature selection. 2570-2577 - Kittipat Kampa, Erion Hasanbelliu, José C. Príncipe:
Closed-form cauchy-schwarz PDF divergence for mixture of Gaussians. 2578-2585 - Robert C. Green II, Lingfeng Wang, Mansoor Alam:
Composite power system reliability evaluation using support vector machines on a multicore platform. 2586-2592 - Praveen Jesudhas, Michael T. Manry, Rohit Rawat, Sanjeev S. Malalur:
Analysis and improvement of multiple optimal learning factors for feed-forward networks. 2593-2600 - Anatoli Gorchetchnikov, Massimiliano Versace, Heather Ames, Ben Chandler, Jasmin Léveillé, Gennady Livitz, Ennio Mingolla, Greg Snider, Rick Amerson, Dick Carter, Hisham Abdalla, Muhammad Shakeel Qureshi:
Review and unification of learning framework in Cog Ex Machina platform for memristive neuromorphic hardware. 2601-2608 - Babu Hemanth Kumar Aswathappa, Michael T. Manry, Rohit Rawat:
Optimal output gain algorithm for feed-forward network training. 2609-2616 - Michael Gashler, Tony R. Martinez:
Tangent space guided intelligent neighbor finding. 2617-2624 - Sean W. Gordon, Napoleon H. Reyes, Andre L. C. Barczak:
A Hybrid Fuzzy Q-learning algorithm for robot navigation. 2625-2631 - Zhiqiang Chen, Reza Derakhshani, Ceki Halmen, John T. Kevern:
A texture-based method for classifying cracked concrete surfaces from digital images using neural networks. 2632-2637 - José Antonio Ruz Hernández, Maria U. Suarez-Duran, Ramón García-Hernández, Evgen Shelomov, Edgar N. Sánchez:
Designing associative memories implemented via recurrent neural networks for pattern recognition. 2638-2644 - Sohan Seth, Austin J. Brockmeier, John S. Choi, Mulugeta Semework, Joseph T. Francis, José C. Príncipe:
Evaluating dependence in spike train metric spaces. 2645-2652 - Haza Nuzly Abdull Hamed, Nikola K. Kasabov, Siti Mariyam Shamsuddin, Harya Widiputra, Kshitij Dhoble:
An extended Evolving Spiking Neural Network model for spatio-temporal pattern classification. 2653-2656 - Kristine Monteith, James L. Carroll, Kevin D. Seppi, Tony R. Martinez:
Turning Bayesian model averaging into Bayesian model combination. 2657-2663 - Icamaan B. Viegas da Silva, Paulo J. L. Adeodato:
PCA and Gaussian noise in MLP neural network training improve generalization in problems with small and unbalanced data sets. 2664-2669 - Hiroaki Wagatsuma, Yousuke Tomonaga:
Problems of temporal granularity in robot control: Levels of adaptation and a necessity of self-confidence. 2670-2675 - Chris Yakopcic, Tarek M. Taha, Guru Subramanyam, Stanley Rogers:
Multiple memristor read and write circuit for neuromorphic applications. 2676-2682 - Sangwook Kim, Byunghun Hwang, Minho Lee:
Gaze tracking based on pupil estimation using multilayer perception. 2683-2689 - Michael R. Smith, Tony R. Martinez:
Improving classification accuracy by identifying and removing instances that should be misclassified. 2690-2697 - Weijie Chen, David G. Brown:
Optimistic bias in the assessment of high dimensional classifiers with a limited dataset. 2698-2703 - Gabriel S. Vasconcelos, Carlos A. C. M. Bastos, Ing Ren Tsang, George D. C. Cavalcanti:
BSOM network for pupil segmentation. 2704-2709 - Alok Kanti Deb, Alok Juyal:
Adaptive neuro-fuzzy control of dynamical systems. 2710-2716 - Kenneth L. Rice, Tarek M. Taha, Khan M. Iftekharuddin, Keith Anderson, Teddy Salan:
GPGPU acceleration of Cellular Simultaneous Recurrent Networks adapted for maze traversals. 2717-2724 - J. Carlos Luna-Sanchez, Eduardo Gómez-Ramírez, Kaddour Najim, Enso Ikonen:
Forecasting time series with a logarithmic model for the Polynomial Artificial Neural Networks. 2725-2732 - Sepideh Seifzadeh, Mohammad Rostami, Ali Ghodsi, Fakhreddine Karray:
Parameter selection for smoothing splines using Stein's Unbiased Risk Estimator. 2733-2740 - Gregory Ditzler, Robi Polikar:
Semi-supervised learning in nonstationary environments. 2741-2748 - Elliott M. Forney, Charles W. Anderson:
Classification of EEG during imagined mental tasks by forecasting with Elman Recurrent Neural Networks. 2749-2755 - Hakan Yasarer, Yacoub Najjar:
Development of a mix-design based Rapid Chloride Permeability assessment model using neuronets. 2756-2760 - Giovanni Egidio Pazienza, Robert Kozma, Jordi Albo-Canals:
Percolation in memristive networks. 2761-2763 - Chang Su Lee:
A rough-fuzzy hybrid approach on a Neuro-Fuzzy classifier for high dimensional data. 2764-2769 - Hiroshi Ninomiya:
Parameterized online quasi-Newton training for high-nonlinearity function approximation using multilayer neural networks. 2770-2777 - Sejun Kim, Donald C. Wunsch II:
A GPU based Parallel Hierarchical Fuzzy ART clustering. 2778-2782 - Mingxuan Wang, Clive Cheong Took, Danilo P. Mandic:
A class of fast quaternion valued variable stepsize stochastic gradient learning algorithms for vector sensor processes. 2783-2786 - Ramón García-Hernández, Edgar N. Sánchez, Víctor Santibáñez, José Antonio Ruz Hernández:
Decentralized neural block control for an industrial PA10-7CE robot arm. 2787-2794 - Xiaoying Song, Wenqiang Zhang, Juyang Weng:
Where-What Network 5: Dealing with scales for objects in complex backgrounds. 2795-2802 - R. Venkatesh Babu, Suresh Sundaram:
Fully complex-valued ELM classifiers for human action recognition. 2803-2808 - Pierre Sermanet, Yann LeCun:
Traffic sign recognition with multi-scale Convolutional Networks. 2809-2813 - Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert:
Model-based clustering with Hidden Markov Model regression for time series with regime changes. 2814-2821 - Yuekai Wang, Xiaofeng Wu, Juyang Weng:
Synapse maintenance in the Where-What Networks. 2822-2829 - Sho Shimomura, Haruna Matsushita, Yoshifumi Nishio:
Ant Colony Optimization Changing the Rate of Dull Ants and its application to QAP. 2830-2835 - Malte Schilling:
Integrating multi-sensory input in the body model - A RNN approach to connect visual features and motor control. 2836-2843 - Zhengping Ji, Wentao Huang, Garrett T. Kenyon, Luís M. A. Bettencourt:
Hierarchical discriminative sparse coding via bidirectional connections. 2844-2851 - Nikolaos Kourentzes, Sven F. Crone:
Semi-supervised monitoring of electric load time series for unusual patterns. 2852-2859 - Toshihiko Shimizu, Ryo Saegusa, Shuhei Ikemoto, Hiroshi Ishiguro, Giorgio Metta:
Adaptive self-protective motion based on reflex control. 2860-2864 - Ryo Saegusa, Lorenzo Natale, Giorgio Metta, Giulio Sandini:
Active perception for action mirroring. 2865-2872 - Michael Baskara L. A. Siek, Dimitri P. Solomatine:
Nonlinear multi-model ensemble prediction using dynamic Neural Network with incremental learning. 2873-2880 - Takaomi Tokumoto, Seiichi Ozawa:
A fast incremental Kernel Principal Component Analysis for learning stream of data chunks. 2881-2888 - Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
A hierarchical, nonparametric, sequential change-detection test. 2889-2896 - Thomas Krüger, Philipp Schnetter, Robin Placzek, Peter Voersmann:
Nonlinear adaptive flight control using sliding mode online learning. 2897-2904 - Ludmilla Werbos, Robert Kozma, Rodrigo Silva-Lugo, Giovanni Egidio Pazienza, Paul J. Werbos:
Metamodeling for large-scale optimization tasks based on object networks. 2905-2910 - Chunyu Liu, Young-Min Jang, Seiichi Ozawa, Minho Lee:
Incremental 2-directional 2-dimensional linear discriminant analysis for multitask pattern recognition. 2911-2916 - James C. Daly, Jacob D. Brown, Juyang Weng:
Neuromorphic motivated systems. 2917-2924 - Xianxue Fan, Jorge Igual, Raul Llinares, Addisson Salazar, Gang Wu:
Blind signal separation in distributed space-time coding systems using the FastICA algorithm. 2925-2929 - Rodrigo L. S. de Arruda, Fernando J. Von Zuben:
A neural architecture to address Reinforcement Learning problems. 2930-2935 - Yasuki Hirai, Masahiro Kikuchi, Hiroaki Kurokawa:
Inferring method of the gene regulatory networks using neural networks adopting a majority rule. 2936-2943 - Gennady Livitz, Heather Ames, Ben Chandler, Anatoli Gorchetchnikov, Jasmin Léveillé, Zlatko Vasilkoski, Massimiliano Versace, Ennio Mingolla, Greg Snider, Rick Amerson, Dick Carter, Hisham Abdalla, Muhammad Shakeel Qureshi:
Visually-guided adaptive robot (ViGuAR). 2944-2951 - Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Accelerated learning of Generalized Sammon Mappings. 2952-2960 - Kiran V. Byadarhaly, Mithun Perdoor, Ali A. Minai:
Synergistic organization of action: A computational model. 2961-2968 - Ammar Mohemmed, Satoshi Matsuda, Stefan Schliebs, Kshitij Dhoble, Nikola K. Kasabov:
Optimization of Spiking Neural Networks with dynamic synapses for spike sequence generation using PSO. 2969-2974 - Laxmi R. Iyer, Ali A. Minai:
A neurodynamical model of context-dependent category learning. 2975-2982 - Juyang Weng:
Three theorems: Brain-like networks logically reason and optimally generalize. 2983-2990 - Jungme Park, Dai Li, Yi Lu Murphey, Johannes Kristinsson, Ryan McGee, Ming Kuang, Tony Phillips:
Real time vehicle speed prediction using a Neural Network Traffic Model. 2991-2996 - Ashish Tawari, Mohan M. Trivedi:
Audio visual cues in driver affect characterization: Issues and challenges in developing robust approaches. 2997-3002 - Juan Jose Cordova, Wen Yu:
Optimization of fixed Wavelet Neural Networks. 3003-3007 - Goren Gordon, Ehud Ahissar:
Reinforcement active learning hierarchical loops. 3008-3015 - Stephen Paslaski, Courtland VanDam, Juyang Weng:
Modeling dopamine and serotonin systems in a visual recognition network. 3016-3023 - Péter Érdi, Mihály Bányai, Vaibhav A. Diwadkar, Balázs Ujfalussy:
The schizophrenic brain: A broken hermeneutic circle. Some new insights and results. 3024-3027 - Naveed Iqbal, Georgios C. Anagnostopoulos:
Multinomial Squared Direction Cosines Regression. 3028-3035 - Sayed Yousef Monir Vaghefi, Sayed Mahmoud Monir Vaghefi:
A novel multilayer neural network model for heat treatment of electroless Ni-P coatings. 3036-3041 - Cory E. Merkel, Nakul Nagpal, Sindhura Mandalapu, Dhireesha Kudithipudi:
Reconfigurable N-level memristor memory design. 3042-3048 - Usman Ali Malik, Syed Usman Ahmed, Faraz Kunwar:
A self-organizing neural scheme for road detection in varied environments. 3049-3054 - João C. Xavier Junior, Anne M. P. Canuto, Alex Alves Freitas, Luiz M. G. Gonçalves, Carlos Nascimento Silla Jr.:
A hierarchical approach to represent relational data applied to clustering tasks. 3055-3062 - Supaporn Erjongmanee, Chuanyi Ji, James Momoh:
Inferring cascading network-power disruptions and sustainability. 3063-3067 - Sarjoun Doumit, Ali A. Minai:
Semantic knowledge inference from online news media using an LDA-NLP approach. 3068-3071 - Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Dipti Srinivasan:
Optimizing the quality of bootstrap-based prediction intervals. 3072-3078 - Sayed Yousef Monir Vaghefi, Reza Monir Vaghefi:
A novel multilayer neural network model for TOA-based localization in wireless sensor networks. 3079-3084 - Mark H. Myers, Robert Kozma:
Modeling normal/epileptic brain dynamics with potential application in titration therapy. 3085-3092 - Dora Nakafuji, Thomas Aukai, Lisa Dangelmaier, Chris Reynolds, Jennifer Yoshimura, Ying Hu:
"Back-to-basics": Operationalizing data mining and visualization techniques for utilities. 3093-3098 - Luciana G. Castanheira, João Antônio de Vasconcelos, Agnaldo J. Rocha Reis, Paulo Henrique V. Magalhaes, Savio A. Lopes da Silva:
Application of neural networks in the classification of incipient faults in power transformers: A study of case. 3099-3104 - Osonde Osoba, Sanya Mitaim, Bart Kosko:
Triply fuzzy function approximation for Bayesian inference. 3105-3111 - Jian Sun, Feng Liu, Jennie Si, Shengwei Mei:
Direct heuristic dynamic programming with augmented states. 3112-3119 - Xun Cai, Kanishka Tyagi, Michael T. Manry:
An optimal construction and training of second order RBF network for approximation and illumination invariant image segmentation. 3120-3126 - Nagendra Marupaka, Ali A. Minai:
Connectivity and creativity in semantic neural networks. 3127-3133 - Moumen T. El-Melegy:
Random sampler M-estimator algorithm for robust function approximation via feed-forward neural networks. 3134-3140 - Vassilis Cutsuridis, Bruce P. Graham, Stuart Cobb, Michael E. Hasselmo:
Bio-inspired models of memory capacity, recall performance and theta phase precession in the hippocampus. 3141-3148 - John J. Wade, Liam McDaid, Jim Harkin, Vincenzo Crunelli, J. A. Scott Kelso, Valeriu Beiu:
Exploring retrograde signaling via astrocytes as a mechanism for self repair. 3149-3155 - Stefan Schliebs, Ammar Mohemmed, Nikola K. Kasabov:
Are probabilistic spiking neural networks suitable for reservoir computing? 3156-3163 - Dipti Srinivasan, Zhang Guofan, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Hybrid neural-evolutionary model for electricity price forecasting. 3164-3169 - Sekou L. Remy:
Exploring the relationship between degrees of self similarity and altered driving states. 3170-3177 - Osonde Osoba, Sanya Mitaim, Bart Kosko:
Noise benefits in the expectation-maximization algorithm: Nem theorems and models. 3178-3183 - Mingchao Wang, Boyuan Yan, Jingzhen Hu, Peng Li:
Simulation of large neuronal networks with biophysically accurate models on graphics processors. 3184-3193 - Yasuaki Kuroe, Hajimu Kawakami:
Versatile neural network method for recovering shape from shading by model inclusive learning. 3194-3199 - Jérémie Cabessa, Hava T. Siegelmann:
Evolving recurrent neural networks are super-Turing. 3200-3206 - Kumar Sanjeeva, Maithreye Rengaswamy, Neelima Gupte, V. Srinivasa Chakravarthy:
Expanding the Go/NoGo depiction of the action of Basal Ganglia pathways. 3207-3212 - Sridhar R. Anumandla, Laurence C. Jayet Bray, Corey M. Thibeault, Roger V. Hoang, Sergiu M. Dascalu, Frederick C. Harris Jr., Philip H. Goodman:
Modeling oxytocin induced neurorobotic trust and intent recognition in human-robot interaction. 3213-3219 - Andres E. Coca, Roseli A. F. Romero, Liang Zhao:
Generation of composed musical structures through recurrent neural networks based on chaotic inspiration. 3220-3226 - Wlodzislaw Duch:
Neurodynamics and the mind. 3227-3234 - Vishal Sharma, Dipti Srinivasan:
Hybrid model incorporating multiple scale dynamics for time series forecasting. 3235-3242 - Chris Yakopcic, Tarek M. Taha, Guru Subramanyam, Robinson E. Pino, Stanley Rogers:
Analysis of a memristor based 1T1M crossbar architecture. 3243-3247 - Rodrigo Calvo, Janderson de Oliveira, Maurício F. Figueiredo, Roseli A. Francelin Romero:
A distributed, bio-inspired coordination strategy for multiple agent systems applied to surveillance tasks in unknown environments. 3248-3255 - Moumen T. El-Melegy:
RANSAC algorithm with sequential probability ratio test for robust training of feed-forward neural networks. 3256-3263 - Paul J. Werbos:
Neural networks as a path to self-awareness. 3264-3271 - Kyle Ira Harrington, Megan M. Olsen, Hava T. Siegelmann:
Communicated somatic markers benefit both the individual and the species. 3272-3278 - Sandra Ortega-Martorell, Alfredo Vellido, Paulo J. G. Lisboa, Margarida Julià-Sapé, Carles Arús:
Spectral decomposition methods for the analysis of MRS information from human brain tumors. 3279-3284 - Sven F. Crone, Nikolaos Kourentzes:
The impact of preprocessing on forecasting electrical load: An empirical evaluation of segmenting time series into subseries. 3285-3292 - Jonathan Hoyin Chan, Pitak Sootanan, Ponlavit Larpeampaisarl:
Feature selection of pathway markers for microarray-based disease classification using negatively correlated feature sets. 3293-3299
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-10-29 01:36 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
