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ORCIDIJCNN 2010: Barcelona, Spain
- International Joint Conference on Neural Networks, IJCNN 2010, Barcelona, Spain, 18-23 July, 2010. IEEE 2010, ISBN 978-1-4244-6916-1
- Sheng Chen
, Xia Hong, Chris J. Harris:
Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression. 1-6 - Xia Hong, Sheng Chen, Chris J. Harris:
Sparse kernel density estimation technique based on zero-norm constraint. 1-6 - Oscar Barambones:
A robust wind turbine control using a Neural Network based wind speed estimator. 1-8 - Rong-Jong Wai, Chia-Ming Liu:
Design of dynamic petri recurrent-fuzzy-neural- network for robust path tracking control of mobile robot. 1-8 - Tao Yang, Vojislav Kecman, Longbing Cao, Chengqi Zhang:
Testing Adaptive Local Hyperplane for multi-class classification by double cross-validation. 1-5 - Chong-Jia Ni, Wenju Liu, Bo Xu:
Mandarin stress detection using hierarchical model based boosting classification and regression tree. 1-5 - Chenye Qiu, Xingquan Zuo, Chunlu Wang, Jianping Wu, Tianle Zhang:
An urban traffic speed fusion method based on principle component analysis and neural network. 1-7 - Leonid I. Perlovsky, Marie-Claude Bonniot-Cabanac, Michel Cabanac:
Curiosity and pleasure. 1-3 - Li-Zhi Liao:
Interior point based continuous methods for linear programming. 1-3 - Takako Soma, Takashi Soma:
Ternary multiway switch and its implementation by neuron-like element. 1-7 - Rohen Sood, Irena Koprinska, Vassilios G. Agelidis:
Electricity load forecasting based on autocorrelation analysis. 1-8 - Olfa Jemai, Mourad Zaied, Chokri Ben Amar, Adel M. Alimi:
FBWN: An architecture of fast beta wavelet networks for image classification. 1-8 - Kwok-Pan Pang, A. B. M. Shawkat Ali:
Finding association of impact factor for breast cancer patient- A novel statistical approach. 1-5 - Mahdi Amina, Vassilis S. Kodogiannis, Efstathios Z. Panagou, George-John E. Nychas:
Modeling the Listeria monocytogenes survival/death curves using wavelet neural networks. 1-8 - Sven Tomforde, Holger Prothmann, Jürgen Branke, Jörg Hähner, Christian Müller-Schloer, Hartmut Schmeck:
Possibilities and limitations of decentralised traffic control systems. 1-9 - Carlos Vivaracho-Pascual, María Arancha Simón Hurtado:
Improving ANN performance for imbalanced data sets by means of the NTIL technique. 1-6 - Sébastien Hélie, Ron Sun:
Creative problem solving: A CLARION theory. 1-7 - Rui Chang, Wei Wang:
Novel algorithm for Bayesian network parameter learning with informative prior constraints. 1-8 - Ryota Yokote, Yasuo Matsuyama:
Yet Rapid ICA: Applications to un-indexed image-to-image retrieval. 1-8 - Qingjiu Zhang, Shiliang Sun:
Evolutionary classifier ensembles for semi-supervised learning. 1-6 - Krzysztof Siwek, Stanislaw Osowski, Mieczyslaw Sowinski:
Neural predictor ensemble for accurate forecasting of PM10 pollution. 1-7 - Faa-Jeng Lin, Syuan-Yi Chen:
Intelligent integral backstepping sliding mode control using recurrent neural network for magnetic levitation system. 1-7 - Jagdish Chandra Patra, Cédric Bornand:
Nonlinear dynamic system identification using Legendre neural network. 1-7 - Michael J. Moore, Richard W. Linderman, Morgan Bishop, Robinson E. Pino:
A columnar primary visual cortex (V1) model emulation using a PS3 Cell-BE array. 1-8 - Jeffrey J. Lovelace, John T. Rickard, Krzysztof J. Cios:
A spiking neural network alternative for the analog to digital converter. 1-8 - Adriana Dapena, Paula Maria Castro, Josmary Labrador:
Combination of supervised and unsupervised algorithms for communication systems with linear precoding. 1-8 - Aida Araujo Ferreira, Teresa Bernarda Ludermir:
Evolutionary strategy for simultaneous optimization of parameters, topology and reservoir weights in Echo State Networks. 1-7 - Ramin Pichevar, Hossein Najaf-Zadeh, Frédéric Mustière:
Neural-based approach to perceptual sparse coding of audio signals. 1-8 - Ronaldo R. B. de Aquino, Manoel A. Carvalho, Otoni Nóbrega Neto, Milde M. S. Lira, Givanildo J. de Almeida, Solange N. N. Tiburcio:
Recurrent neural networks solving a real large scale mid-term scheduling for power plants. 1-6 - Steve Ling, Nuryani, Hung T. Nguyen:
Hypoglycaemia detection for type 1 diabetic patients based on ECG parameters using Fuzzy Support Vector Machine. 1-7 - Vojislav Kecman, J. Paul Brooks:
Locally linear support vector machines and other local models. 1-6 - Kai Keng Ang, Cuntai Guan, Kerry Lee, Jie Qi Lee, Shoko Nioka, Britton Chance:
Application of rough set-based neuro-fuzzy system in NIRS-based BCI for assessing numerical cognition in classroom. 1-7 - Mathias M. Adankon, Mohamed Cheriet:
Semi-supervised learning for weighted LS-SVM. 1-8 - Steven K. Esser, Anthony Ndirango, Dharmendra S. Modha:
Binding sparse spatiotemporal patterns in spiking computation. 1-9 - Haibo Min, Fuchun Sun, Shicheng Wang, Zhiguo Liu, Jinsheng Zhang:
Spacecraft coordination control in 6DOF based on Neural Network. 1-6 - Bonan Huang, Huaguang Zhang, Zhanshan Wang, Meng Dong:
A new delayed projection neural network for solving quadratic programming problems. 1-5 - Yajun Qu, Bo Dai, Bao-Gang Hu:
Neural-network based regression model with prior from ranking information. 1-8 - Timothée Masquelier, Simon J. Thorpe:
Learning to recognize objects using waves of spikes and Spike Timing-Dependent Plasticity. 1-8 - Liu Fan, Meng Joo Er, Leszek Rutkowski:
An online approach towards self-generating fuzzy neural networks with applications. 1-7 - Mauro Tucci, Marco Raugi:
Stability analysis of self-organizing maps and vector quantization algorithms. 1-5 - Eyosias Yoseph Imana, Fredric M. Ham, William H. Allen, Richard Ford:
Proactive reputation-based defense for MANETs using radial basis function neural networks. 1-6 - Ronaldo R. B. de Aquino, Milde M. S. Lira, Manoel Henrique da Nobrega Marinho, Isabela A. Tavares, Luiz F. A. Cordeiro:
Inflow forecasting models based on artificial intelligence. 1-6 - Xianming Chen, Xiaoqin Zeng, Rong Chu, Shuiming Zhong:
A quantified sensitivity measure of Radial Basis Function Neural Networks to input variation. 1-6 - Chonghai Hu, James T. Kwok:
Manifold regularization for structured outputs via the joint kernel. 1-8 - Asim Roy:
Is the connectionist notion of subconcepts flawed? 1-6 - Vu Anh Nguyen, Janusz A. Starzyk, Alex Leng Phuan Tay, Wooi-Boon Goh:
Spatio-temporal sequence learning of visual place cells for robotic navigation. 1-8 - Claudius Gläser, Frank Joublin:
An adaptive Normalized Gaussian Network and its application to online category learning. 1-8 - Teresa García-Valverde, Alberto Caballero, Juan A. Botía, Antonio Fernandez Gómez-Skarmeta:
Semantic description of multimedia contents for the optimization of the advertising impact on TV program grids. 1-7 - Athanasios Pavlou, Matthew C. Casey:
Simulating the effects of cortical feedback in the superior colliculus with topographic maps. 1-8 - Manuel Fernández Delgado, Jorge Ribeiro, Eva Cernadas, Senén Barro:
Fast weight calculation for kernel-based perceptron in two-class classification problems. 1-6 - Anke Meyer-Bäse, Sylvain Lespinats, Ingo R. Keck, Elmar Wolfgang Lang:
Robust stability analysis of Linsker-Type Hebbian learning multi-time scale neural networks under parametric uncertainties. 1-5 - Nikolay Y. Nikolaev, Derrick Takeshi Mirikitani, Evgueni N. Smirnov:
Unscented grid filtering and elman recurrent networks. 1-7 - Iván Machón González, Hilario López García, José Luís Calvo-Rolle:
A hybrid batch SOM-NG algorithm. 1-5 - Iván Machón González, Hilario López García, José Luís Calvo-Rolle:
Modifying the learning rate of FLNG dealing with imbalanced datasets. 1-5 - Chi-Yung Yau, Kevin Burn, Stefan Wermter:
Configuring the stochastic Helmholtz machine for subcortical emotional learning. 1-8 - Masoumeh Azarpour, Seyyed Ali Seyyedsalehi, Aboozar Taherkhani:
Robust pattern recognition using chaotic dynamics in Attractor Recurrent Neural Network. 1-6 - Nils T. Siebel, Andreas Jordt, Gerald Sommer:
Accelerating neuro-evolution by compilation to native machine code. 1-8 - Fatma Hamdi, Mustapha Lebbah, Younès Bennani:
Topographic under-sampling for unbalanced distributions. 1-6 - Ryousuke Yabuwaki, Shigeo Abe:
Convergence improvement of active set support vector training. 1-5 - Marcílio Carlos Pereira de Souto, Ana Carolina Lorena, Newton Spolaôr, Ivan Gesteira Costa:
Complexity measures of supervised classifications tasks: A case study for cancer gene expression data. 1-7 - Masahiro Tsukada, Hirokazu Madokoro, Kazuhito Sato:
Unsupervised and adaptive category classification for a vision-based mobile robot. 1-6 - Michikazu Kikugawa, Won-Du Chang, Soonwook Hwang, Jungpil Shin:
A fast shape retrieval using dendrogram. 1-5 - Madhu K. Shankarapani, Kesav Kancherla, Subbu Ramamoorthy, Ram S. Movva, Srinivas Mukkamala:
Kernel machines for malware classification and similarity analysis. 1-6 - Ashfaqur Rahman, Brijesh K. Verma:
A novel ensemble classifier approach using weak classifier learning on overlapping clusters. 1-7 - Benhui Chen, Weifeng Gu, Jinglu Hu:
An improved multi-label classification based on label ranking and delicate boundary SVM. 1-6 - Ngoc Nam Nguyen, Chai Quek:
Stock price prediction using Generic Self-Evolving Takagi-Sugeno-Kang (GSETSK) fuzzy neural network. 1-8 - Luis A. Camuñas-Mesa, José Antonio Pérez-Carrasco, Carlos Zamarreño-Ramos, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco:
Neocortical frame-free vision sensing and processing through scalable Spiking ConvNet hardware. 1-8 - Jin Hu, Jun Wang:
Global uniform asymptotic stability of memristor-based recurrent neural networks with time delays. 1-8 - Weiya Shi, Yue-Fei Guo:
Incomplete Cholesky decomposition based kernel principal component analysis for large-scale data set. 1-6 - J. C. Palomares Salas, A. Agüera Pérez, Juan José González de la Rosa, José Gabriel Ramiro Leo:
Clustering using SOFM and genetic algorithm. 1-6 - Burak Erdeniz, Nart Bedin Atalay:
Simulating probability learning and probabilistic reversal learning using the attention-gated reinforcement learning (AGREL) model. 1-6 - Furao Shen, Hui Yu, Wataru Kasai, Osamu Hasegawa:
An associative memory system for incremental learning and temporal sequence. 1-8 - Naveed ur Rehman, Danilo P. Mandic:
Quadrivariate Empirical Mode Decomposition. 1-7 - Hun Ki Lim, Leslie P. Keniston, Joo Heon Shin, Cao D. Nguyen, M. Alex Meredith, Krzysztof J. Cios:
A Neuronal Multisensory Processing Simulator. 1-7 - Jenia Jitsev, Christoph von der Malsburg:
Off-line memory reprocessing following on-line unsupervised learning strongly improves recognition performance in a hierarchical visual memory. 1-8 - Andreas Huemer, Mario Gongora, David A. Elizondo:
A robust reinforcement based self constructing neural network. 1-7 - Xin Jin, Francesco Galluppi, Cameron Patterson, Alexander D. Rast, Sergio Davies, Steve Temple, Steve B. Furber:
Algorithm and software for simulation of spiking neural networks on the multi-chip SpiNNaker system. 1-8 - Ricardo de A. Araújo, Adriano L. I. de Oliveira, Sérgio C. B. Soares:
A quantum-inspired hybrid methodology for financial time series prediction. 1-8 - Jie Yang, Long Li, Yan Liu, Jing Wang, Wei Wu:
Choice of initial bias in max-min fuzzy neural networks. 1-3 - Fernando Gaxiola, Patricia Melin, Miguel Lopez:
Modular neural networks for person recognition using segmentation and the iris biometric measurement with image pre-processing. 1-7 - Miguel Lopez, Patricia Melin, Oscar Castillo:
A new approach for fuzzy feature extraction based on pixel's brightness. 1-7 - Eng-Yeow Cheu, Chai Quek, See-Kiong Ng:
Time series forecasting with appetitive reward-based pseudo-outer-product fuzzy neural network. 1-8 - Nathan Kowahl, Anthony Kuh:
Micro-scale smart grid optimization. 1-8 - Motohiro Saiki, Satoshi Matsuda:
Evolutionary neural network model of universal grammar. 1-5 - Kairi Miyazaki, Satoshi Matsuda:
Robot planning by cooperation of Hopfield networks - A case of Warehouse Keeper Puzzle (sokoban) -. 1-6 - Yue-Der Lin, Chih-Yu Hsu, Hung-Yun Chen, Kuo-Kun Tseng:
An efficient ICA approach based on neural network framework for biomedical applications. 1-8 - Chin-I Huang:
Adaptive washout filter design with human visual-vestibular based (HVVB) for VR-based motion simulator. 1-6 - Marcin Budka, Bogdan Gabrys:
Correntropy-based density-preserving data sampling as an alternative to standard cross-validation. 1-8 - Jagdish Chandra Patra, Nyttle V. George, Pramod Kumar Meher:
DNA microarray analysis using Equalized Orthogonal Mapping. 1-8 - Shuo Wang, Huanhuan Chen, Xin Yao:
Negative correlation learning for classification ensembles. 1-8 - Clive Cheong Took, Danilo P. Mandic, Kazuyuki Aihara:
Quaternion-valued short term forecasting of wind profile. 1-6 - Fernando Benites, Florian Brucker, Elena P. Sapozhnikova:
Multi-label classification by ART-based neural networks and hierarchy extraction. 1-9 - Brian J. Fischer:
Bayesian estimates from heterogeneous population codes. 1-7 - Jamil Alshaqsi, Wenjia Wang:
A clustering ensemble method for clustering mixed data. 1-8 - Iakov M. Karandashev, Boris V. Kryzhanovsky:
Efficient energy landscape transformation in the problem of binary minimization. 1-6 - Charles W. Fox, Tony J. Prescott:
Hippocampus as unitary coherent particle filter. 1-8 - Nathan R. McDonald, Robinson E. Pino, Peter J. Rozwood, Bryant T. Wysocki:
Analysis of dynamic linear and non-linear memristor device models for emerging neuromorphic computing hardware design. 1-5 - Mehmet K. Muezzinoglu, Alexander Vergara, Ramón Huerta:
A unified framework for Volatile Organic Compound classification and regression. 1-7 - Katsuyuki Hagiwara:
On a training scheme based on orthogonalization and thresholding for a nonparametric regression problem. 1-8 - Cheng-Hsiung Hsieh, Fang-Jung Chang, Qiangfu Zhao:
Content aware image retrieval with partition-based color features. 1-7 - Zhijiang Wang, Jiming Liu, Ning Zhong, Haiyan Zhou, Yulin Qin:
Two perspectives to investigate the intrinsic organization of the dynamic and ongoing spontaneous brain activity in humans. 1-4 - Jose Luis Patino, François Brémond, Monique Thonnat:
Activity discovery from video employing soft computing relations. 1-8 - Nick F. Ryman-Tubb, Artur S. d'Avila Garcez:
SOAR - Sparse Oracle-based Adaptive Rule extraction: Knowledge extraction from large-scale datasets to detect credit card fraud. 1-9 - Nandita Tripathi, Stefan Wermter, Chihli Hung, Michael P. Oakes:
Semantic Subspace Learning with conditional significance vectors. 1-8 - Thomas Trappenberg, Aya Saito, Pitoyo Hartono:
Selective attention improves self-organization of cortical maps with multiple inputs. 1-4 - Gang Yang, Junyan Yi, Xiaofeng Meng:
A rebuilt clone elastic net algorithm for traveling salesman problem. 1-7 - Chun-Han Yang, Jue-Long Wang, Ko-Long Lin, Yau-Hwang Kuo, Kuo-Sheng Cheng:
Negative emotion detection using the heart rate recovery and time for twelve-beats heart rate decay after exercise stress test. 1-6 - Aydin Farajidavar, Daniel S. Levine, Nicholas W. Kohn, Paul B. Paulus:
Modeling the beneficial effects of incubation in creative brainstorming. 1-6 - Tatiana Tambouratzis, Dora Souliou, Miltiadis S. Chalikias, Andreas Gregoriades:
Combining probabilistic neural networks and decision trees for maximally accurate and efficient accident prediction. 1-8 - Bukhari Che Ujang, Clive Cheong Took, Danilo P. Mandic:
Identification of improper processes by variable tap-length complex-valued adaptive filters. 1-6 - Andrew Skabar, Shahmeer Memon:
Density estimation-based document categorization using von Mises-Fisher kernels. 1-8 - Andreas Knoblauch:
Optimal synaptic learning in non-linear associative memory. 1-7 - Silvia Curteanu, Florin Leon, Renata Furtuna, Elena Niculina Dragoi, Neculai Curteanu:
Comparison between different methods for developing neural network topology applied to a complex polymerization process. 1-8 - Andreas Knoblauch:
Zip nets: Efficient associative computation with binary synapses. 1-8 - Yun Yang, Ke Chen:
Unsupervised learning via iteratively constructed clustering ensemble. 1-8 - Chen-Han Chien, Chih-Cheng Lu, Hsin Chen:
Mapping the Diffusion Network into a stochastic system in Very Large Scale Integration. 1-7 - Ernst M. Kussul, Oleksandr Makeyev, Tatiana Baidyk, Daniel Calderon Reyes:
Neural network with ensembles. 1-7 - Wanyu Deng, Qinghua Zheng, Shiguo Lian, Lin Chen, Xin Wang:
Projection Vector Machine: One-stage learning algorithm from high-dimension small-sample data. 1-8