IJCNN 2010: Barcelona, Spain

• 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 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 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 A. 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 Nuryani, Hung 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, Baogang 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 H. N. 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 F. 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, Abouzar 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 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, Les 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 A. Góngora, 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 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, Andreas 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
  
• J. Al-Shaqsi, 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-Hisung 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 P. 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
  
• Rakesh Chalasani, Jose C. Principe:
  Self organizing maps with the correntropy induced metric. 1-6
  
• Vladimir Nikulin, Geoffrey J. McLachlan:
  Identifying fiber bundles with regularised к-means clustering applied to the grid-based data. 1-8
  
• Kristine Monteith, Tony R. Martinez:
  Using multiple measures to predict confidence in instance classification. 1-8
  
• Ning Zhong, Jianhui Chen:
  Data-Brain driven multi-aspect mining process planning. 1-4
  
• Hung-Yi Hsieh, Kea-Tiong Tang, Zen-Huan Tsai, Hsin Chen:
  A low-power, high-resolution WTA utilizing translinear-loop pre-amplifier. 1-5
  
• Toshimitsu Otani, Kazuhito Sato, Hirokazu Madokoro, Atsushi Inugami:
  Segmentation of head MR images using hybrid neural networks of unsupervised learning. 1-7
  
• Christian Bitter, David A. Elizondo, Tim Watson:
  Application of artificial neural networks and related techniques to intrusion detection. 1-8
  
• M. Sultan M. Siddiqui, Basabi Bhaumik:
  Reaction-diffusion based model to develop binocular simple cells in visual cortex along with cortical maps. 1-8
  
• Russell S. A. Brinkworth, David C. O'Carroll:
  Bio-inspired model for robust motion detection under noisy conditions. 1-8
  
• Emil Scarlat, Camelia Delcea:
  A hybrid grey-fuzzy-neural networks model for enterprises' bankruptcy. 1-8
  
• Anderson F. B. F. da Costa, Bruno A. Pimentel, Renata M. C. R. de Souza:
  A kernel k-means clustering method for symbolic interval data. 1-6
  
• Chihli Hung, Xin-Yi Huang, Hao-Kai Lin, Yen-Hsu Hou:
  Integrated Time Series Forecasting approaches using moving average, grey prediction, support vector regression and bagging for NNGC. 1-6
  
• Holk Cruse, Malte Schilling:
  Learning and retrieval of hierarchically organized information in a simple, one-layered RNN. 1-9
  
• Malte Schilling:
  A universally manipulable body model: Application of the MMC principle to a dual quaternion representation. 1-8
  
• Clara Cordeiro, M. Manuela Neves:
  Boot.EXPOS in NNGC competition. 1-7
  
• Alexander D. Rast, Francesco Galluppi, Xin Jin, Steve Furber:
  The Leaky Integrate-and-Fire neuron: A platform for synaptic model exploration on the SpiNNaker chip. 1-8
  
• Thomas Nowotny:
  Parallel implementation of a spiking neuronal network model of unsupervised olfactory learning on NVidia^® CUDA™. 1-8
  
• Tatiana Baidyk, Ernst M. Kussul, Marco A. Rodriguez Flores, Alehandro Vega:
  Neural classifier for larvae recognition. 1-4
  
• Fatemeh Jahangiri, Ali Doustmohammadi, Mohammad Bagher Menhaj:
  Identification of twin-tanks dynamics using adaptive wavelet differential neural networks. 1-5
  
• Jimison Iavindrasana, Adrien Depeursinge, Gilles Cohen, Antoine Geissbühler, Henning Müller:
  Asymmetric-margin support vector machines for lung tissue classification. 1-8
  
• Yan Meng, Yaochu Jin, Jun Yin, Matthew Conforth:
  Human activity detection using spiking neural networks regulated by a gene regulatory network. 1-6
  
• Carlos E. Castañeda, Pedro Esquivel:
  Direct current motor control based on high order neural networks using stochastic estimation. 1-8
  
• M. A. Lopez-Gordo, Francisco J. Pelayo, Alberto Prieto:
  A high performance SSVEP-BCI without gazing. 1-5
  
• Swathi Sri Kavuri, Jacek M. Zurada, Jagath C. Rajapakse:
  Evolutionary approach to ICA-R. 1-6
  
• A. Ravishankar Rao, Guillermo A. Cecchi:
  Investigating the variation of orientation tuning in a computational model of the visual cortex. 1-8
  
• Bipin K. Tripathi, Prem K. Kalra:
  Functional mapping with complex higher order compensatory neuron model. 1-8
  
• Thomas E. Gibbons:
  Unifying quality metrics for reservoir networks. 1-7
  
• Yu He, Songhua Xu, Willard L. Miranker:
  A Force Field Driven SOM for boundary detection. 1-7
  
• Hyun-Chul Choi, Se-Young Oh:
  Illumination invariant lane color recognition by using road color reference & neural networks. 1-5
  
• Hirokazu Madokoro, Kazuhito Sato:
  Visualizing Support Vectors and topological data mapping for improved generalization capabilities. 1-7
  
• Jie Ji, Daichi Kunita, Qiangfu Zhao:
  A customer intention aware system for document analysis. 1-6
  
• Kazuhito Sato, Sakura Kadowaki, Hirokazu Madokoro, Atsushi Inugami:
  Development of comparative reading system using 1D SOM for brain dock examinations. 1-7
  
• Chih-Hui Chiu, Ya-Fu Peng, You-Wei Lin:
  WIPs real-time control using RIBTC. 1-6
  
• Jagdish Chandra Patra, Jacob Abraham, Pramod Kumar Meher, Goutam Chakraborty:
  An improved SOM-based visualization technique for DNA microarray data analysis. 1-7
  
• Christopher T. Kello, Marshall R. Mayberry:
  Critical branching neural computation. 1-7
  
• Yoshitatsu Matsuda, Kazunori Yamaguchi:
  A probabilistic framework for joint approximate diagonalization. 1-6
  
• Paolo Motto Ros, Eros Pasero:
  A framework for developing Neural Networks based mobile appliances. 1-8
  
• Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
  On the effectiveness of discretization on gene selection of microarray data. 1-8
  
• Daw-Tung Lin, Kai-Yung Huang:
  Collaborative pedestrian tracking with multiple cameras: Data fusion and visualization. 1-8
  
• Mark J. Embrechts, Blake J. Hargis, Jonathan D. Linton:
  Augmented Efficient BackProp for backpropagation learning in deep autoassociative neural networks. 1-6
  
• Oleg A. Stepanov, Vladimir A. Vasiliev:
  Comparison of the Bayesian and neural network algorithms in nonlinear navigation estimation problems. 1-7
  
• Jean-Luc Bouchot, Johannes Himmelbauer, Bernhard Moser:
  On autocorrelation based on Hermann Weyl's discrepancy norm for time series analysis. 1-7
  
• Luca Leonardo Bologna, Romain Brasselet, Marco Maggiali, Angelo Arleo:
  Neuromimetic encoding/decoding of spatiotemporal spiking signals from an artificial touch sensor. 1-6
  
• Kozo Hisamatsu, Toshimichi Saito:
  Delay-induced order in pulse-coupled bifurcating neurons. 1-6
  
• Takashi Aoyagi, Damri Radenamad, Yukimasa Nakano, Akira Hirose:
  Complex-valued self-organizing map clustering using complex inner product in active millimeter-wave imaging. 1-6
  
• Shanwen Zhang, Ying-Ke Lei, De-Shuang Huang:
  Two-dimensional Neighborhood Discriminant Projection. 1-7
  
• Masayuki Karasuyama, Ichiro Takeuchi:
  Nonlinear regularization path for the modified Huber loss Support Vector Machines. 1-8
  
• Jacqueline Christmas, Richard Everson:
  Temporally coupled Principal Component Analysis: A Probabilistic autoregression method. 1-8
  
• Boris V. Kryzhanovsky, Leonid B. Litinskii:
  Investigation of generalized Hopfield model by statistical physics methods. 1-6
  
• Haiqin Yang, Irwin King, Michael R. Lyu:
  Multi-task Learning for one-class classification. 1-8
  
• Fei He, Min Li, Jianhong Yang, Jinwu Xu:
  Adaptive clustering of production state based on kernel entropy component analysis. 1-8
  
• Michiel Hermans, Benjamin Schrauwen:
  Memory in reservoirs for high dimensional input. 1-7
  
• Paulo Cortez:
  Sensitivity analysis for time lag selection to forecast seasonal time series using Neural Networks and Support Vector Machines. 1-8
  
• Cesare Alippi, Manuel Roveri:
  Virtual k-fold cross validation: An effective method for accuracy assessment. 1-6
  
• Ying-Ke Lei, Rong-Xiang Hu, Lei Tang, Shanwen Zhang, De-Shuang Huang:
  Orthogonal linear local spline discriminant embedding for face recognition. 1-8
  
• Benjamin Satzger, Faruk Bagci, Theo Ungerer:
  A novel constraint satisfaction problem solver for self-configuring distributed systems with highly dynamic behavior. 1-6
  
• Chenhui Yang, Yuan Yuan, Jennie Si:
  High performance spike detection and sorting using neural waveform phase information and SOM clustering. 1-7
  
• Richard Fredlund, Richard M. Everson, Jonathan E. Fieldsend:
  A Bayesian framework for active learning. 1-8
  
• Leonid I. Perlovsky, Roman Ilin:
  Grounded symbols in the brain. 1-10
  
• Leonid I. Perlovsky, Daniel S. Levine:
  Drive for Creativity. 1-6
  
• Lazhar Labiod, Nistor Grozavu, Younès Bennani:
  Relational topological clustering. 1-8
  
• Jagdish C. Patra, Kenny H. K. Chua:
  Neural network based drug design for diabetes mellitus using QSAR with 2D and 3D descriptors. 1-8
  
• Manuel Fernández Delgado, Jorge Ribeiro, Eva Cernadas, Senén Barro:
  A Parallel Perceptron network for classification with direct calculation of the weights optimizing error and margin. 1-8
  
• Germano Resconi, Chu Kiong Loo, Nuo Wi Noel Tay:
  Quantum Morphogenetic System in View-Invariant recognition. 1-7
  
• Renan W. F. Vitral:
  Neurobiological challenge on visually attentive navigation: Who triggers the development of hippocampal Place Fields? Who responds for the appearance of motivational status to navigate? 1-6
  
• Dimitris Voukantsis, Kostas D. Karatzas, Athanasios Damialis, Despoina Vokou:
  Forecasting airborne pollen concentration of Poaceae (Grass) and Oleaceae (Olive), using Artificial Neural Networks and Genetic algorithms, in Thessaloniki, Greece. 1-6
  
• Yasuo Matsuyama, Ryunosuke Hayashi:
  Alpha-EM gives fast Hidden Markov Model estimation: Derivation and evaluation of alpha-HMM. 1-8
  
• Alberto Prieto, Daniel Souto, Richard J. Duro, Fernando López-Peña:
  An ANN based automatic hyperspectral image processing system with adaptive dimensionality reduction. 1-8
  
• Harun Pirim, Dilip Gautam, Tanmay Bhowmik, Andy D. Perkins, Burak Eksioglu:
  Performance evaluation of a community structure finding algorithm using modularity and C-rand measures. 1-8
  
• Sahar Changuel, Nicolas Labroche, Bernadette Bouchon-Meunier:
  Automatic concept type identification from learning resources. 1-6
  
• Damiano Oldoni, Bert De Coensel, Michaël Rademaker, Bernard De Baets, Dick Botteldooren:
  Context-dependent environmental sound monitoring using SOM coupled with LEGION. 1-8
  
• Paolo Arena, Christian Berg, Luca Patané, Ronald Strauss, Pietro Savio Termini:
  An insect brain computational model inspired by Drosophila melanogaster: Architecture description. 1-7
  
• Ricardo de A. Araújo, Peter Sussner:
  An increasing hybrid morphological-linear perceptron with pseudo-gradient-based learning and phase adjustment for financial time series prediction. 1-8
  
• Min Han, Yao Zhao:
  Robust relevance vector machine with noise variance coefficient. 1-6
  
• Eduardo Gómez-Ramírez, Oscar Castillo, José Soria:
  Hybrid system for cardiac arrhythmia classification with fuzzy k-nearest neighbors and Multi Layer Perceptrons combined by a fuzzy inference system. 1-6
  
• Azlee Zabidi, Wahidah Mansor, Lee Yoot Khuan, Ihsan Mohd Yassin, Rohilah Sahak:
  Investigation of Mel Frequency Cepstrum Coefficients parameters for classification of infant cries with hypothyroidism using MLP classifier. 1-4
  
• Eva Kaslik, Seenith Sivasundaram:
  Impulsive hybrid synchronization of chaotic discrete-time delayed neural networks. 1-8
  
• Patrick Koch, Wolfgang Konen, Kristine Hein:
  Gesture recognition on few training data using Slow Feature Analysis and parametric bootstrap. 1-8
  
• Enrico Ferrari, Marco Muselli:
  Maximizing pattern separation in discretizing continuous features for classification purposes. 1-8
  
• Peter McLeod, Brijesh Verma:
  A classifier with clustered sub classes for the classification of suspicious areas in digital mammograms. 1-8
  
• Dawei Han, Weizhong Yan, Ali Moghaddam Nia:
  Uncertainty with the Gamma Test for model input data selection. 1-5
  
• Angela Zeiler, Rupert Faltermeier, Ingo R. Keck, Ana Maria Tomé, Carlos García Puntonet, Elmar Wolfgang Lang:
  Empirical Mode Decomposition - an introduction. 1-8
  
• Paolo Arena, Sebastiano De Fiore, Luca Patané, Massimo Pollino, Cristina Ventura:
  Insect inspired unsupervised learning for tactic and phobic behavior enhancement in a hybrid robot. 1-8
  
• Rupert Faltermeier, Angela Zeiler, Ingo R. Keck, Ana Maria Tomé, Alexander Brawanski, Elmar Wolfgang Lang:
  Sliding Empirical Mode Decomposition. 1-8
  
• Angela Zeiler, Rupert Faltermeier, Ingo R. Keck, Ana Maria Tomé, Alexander Brawanski, Carlos García Puntonet, Elmar Wolfgang Lang:
  Brain status data analyzed by Empirical Mode Decomposition. 1-8
  
• Thomas Krüger, Michael Moessner, Andreas Kuhn, Joachim Axmann, Peter Voersmann:
  Sliding mode online learning for flight control applications in unmanned aerial systems. 1-8
  
• Niceto Rafael Luque, Jesús Alberto Garrido, Richard Rafael Carrillo, Eduardo Ros:
  Cerebellar spiking engine: Towards objet model abstraction in manipulation. 1-8
  
• Michal Sramka:
  A privacy attack that removes the majority of the noise from perturbed data. 1-8
  
• Haruna Matsushita, Yoshifumi Nishio:
  Batch-Learning Self-Organizing Map with Weighted Connections avoiding false-neighbor effects. 1-6
  
• Alexandros Bouganis, Murray Shanahan:
  Training a spiking neural network to control a 4-DoF robotic arm based on Spike Timing-Dependent Plasticity. 1-8
  
• Severus Sheetekela, Komla A. Folly:
  Power ystem controller design: A comparison between breeder genetic algorithm and Population Based Incremental Learning. 1-8
  
• William E. White, Khan M. Iftekharuddin, Abdesselam Bouzerdoum:
  Improved learning in grid-to-grid neural network via clustering. 1-7
  
• Sergio Decherchi, Mauro Parodi, Sandro Ridella:
  A neural model approach for regularization in the mean estimation case. 1-7
  
• Amanda Kathryn Lampton, John Valasek, Mrinal Kumar:
  Multi-resolution state-space discretization for Q-Learning with pseudo-randomized discretization. 1-8
  
• Paolo Arena, Luca Patané, Pietro Savio Termini:
  An insect brain computational model inspired by Drosophila melanogaster: Simulation results. 1-8
  
• Igor N. Aizenberg, Matthew Caudill, Jacob Jackson, Shane Alexander:
  Learning nonlinearly separable mod k addition problem using a single multi-valued neuron with a periodic activation function. 1-8
  
• Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire:
  Design and analysis of the WCCI 2010 active learning challenge. 1-8
  
• Jiaqi Liang, Jing Dai, Ganesh K. Venayagamoorthy, Ronald G. Harley:
  Dynamic system eigenvalue extraction using a linear echo state network for small-signal stability analysis - a novel application. 1-8
  
• José Carlos Palomares Salas, Juan José González de la Rosa, José Gabriel Ramiro Leo, A. Agüera Pérez:
  Application of NNT in wind speed forecasting. 1-6
  
• João Luís Garcia Rosa:
  Biologically plausible connectionist prediction of natural language thematic relations. 1-8
  
• Yuhua Zheng, Yan Meng, Yaochu Jin:
  Fusing bottom-up and top-down pathways in neural networks for visual object recognition. 1-8
  
• Derong Liu, Qinglai Wei:
  Adaptive dynamic programming for a class of discrete-time non-affine nonlinear systems with time-delays. 1-6
  
• Denisse Hidalgo, Patricia Melin, Oscar Castillo, Guillermo Licea:
  Optimization of type-2 fuzzy systems based on the level of uncertainty, applied to response integration in modular neural networks with multimodal biometry. 1-6
  
• Mathieu Guillame-Bert, Krysia Broda, Artur S. d'Avila Garcez:
  First-order logic learning in Artificial Neural Networks. 1-8
  
• Sebastián Maldonado, Richard Weber:
  Feature selection for support vector regression via Kernel penalization. 1-7
  
• Ieroham S. Baruch, Carlos-Roman Mariaca-Gaspar, Irving Pavel de la Cruz, Oscar Castillo:
  Direct torque adaptive vector neural control of a three-phase induction motor. 1-8
  
• Nguyen Thai-Nghe, Zeno Gantner, Lars Schmidt-Thieme:
  Cost-sensitive learning methods for imbalanced data. 1-8
  
• Rafael M. O. Cruz, George D. C. Cavalcanti, Ing Ren Tsang:
  An ensemble classifier for offline cursive character recognition using multiple feature extraction techniques. 1-8
  
• Joseph D. Skufca, Erik M. Bollt, Rakesh Pilkar, Charles J. Robinson:
  Eigenposes: Using principal components to describe body configuration for analysis of postural control dynamics. 1-3
  
• Yujie Dai, Dongbin Zhao, Jianqiang Yi:
  A comparative study of urban traffic signal control with reinforcement learning and Adaptive Dynamic Programming. 1-7
  
• Jie Yang, Abdesselam Bouzerdoum, Fok Hing Chi Tivive, Son Lam Phung:
  Dimensionality reduction using compressed sensing and its application to a large-scale visual recognition task. 1-8
  
• Hiroomi Hikawa, Kenji Doumoto, Simone Miyoshi, Yutaka Maeda:
  Image compression with hardware self-organizing map. 1-8
  
• Han Ju, Jian-Xin Xu, Antonius M. J. VanDongen:
  Classification of musical styles using liquid state machines. 1-7
  
• Shu Feng, Ah-Hwee Tan:
  Self-organizing neural networks for behavior modeling in games. 1-8
  
• Sascha Lange, Martin Riedmiller:
  Deep auto-encoder neural networks in reinforcement learning. 1-8
  
• Yohei Tomita, Yasue Mitsukura, Toshihisa Tanaka, Jianting Cao:
  EEG frequency analysis for dozing detection system. 1-4
  
• Ronald Strauss, Christian Berg:
  The central control of oriented locomotion in insects - towards a neurobiological model. 1-8
  
• Hasan Seckin Efendioglu, Tulay Yildirim, Kemal Fidanboylu:
  Use of Artificial Neural Networks for improving fiber optic microbend sensor performance. 1-6
  
• Xu Wang, Zhiqiang Cao, Zeng-Guang Hou, Long Cheng, Min Tan:
  Correlation detection with firing rate estimation based on temporal coincidence coding. 1-6
  
• Julio J. Valdés, Antonio Pou:
  Central england temperatures and solar activity: A Computational Intelligence approach. 1-8
  
• Manuel Cruz-Ramírez, César Hervás-Martínez, Juan Carlos Fernández, Javier Sánchez-Monedero:
  Learning Artificial Neural Networks multiclassifiers by evolutionary multiobjective differential evolution guided by statistical distributions. 1-8
  
• Jagath C. Rajapakse, Wenda Chen:
  Complex ICA-R. 1-8
  
• Davide Anguita, Alessandro Ghio, Noemi Greco, Luca Oneto, Sandro Ridella:
  Model selection for support vector machines: Advantages and disadvantages of the Machine Learning Theory. 1-8
  
• Vincent Lemaire, Marc Boullé, Fabrice Clérot, Pascal Gouzien:
  A method to build a representation using a classifier and its use in a K Nearest Neighbors-based deployment. 1-8
  
• Wenjia Wang:
  Heterogeneous Bayesian ensembles for classifying spam emails. 1-8
  
• Bernd Carsten Stahl, David A. Elizondo, Moira Carroll-Mayer, Yingqin Zheng, Kutoma Wakunuma:
  Ethical and legal issues of the use of computational intelligence techniques in computer security and computer forensics. 1-8
  
• Theresa Nick, Edmund Coersmeier, Jan Geldmacher, Jürgen Götze:
  Classifying means of transportation using mobile sensor data. 1-6
  
• Eugenio Martinelli, Davide Polese, Francesca Dini, Roberto Paolesse, Daniel Filippini, Arnaldo D'Amico, Detlev Schild, Ingemar Lundstrom, Corrado Di Natale:
  Testing olfactory models with an artificial experimental platform. 1-6
  
• Ping Sun, Irena Begaj, Iris Fermin, Jim McManus:
  Creating health typologies with random forest clustering. 1-7
  
• Takashi Ogawa, Toshimichi Saito:
  Digital spike maps and learning of spike signals. 1-6
  
• Christian Faubel, Gregor Schöner:
  Learning objects on the fly - object recognition for the here and now. 1-8
  
• Jianyong Sun, Ata Kaban, Jonathan M. Garibaldi:
  Robust mixture modeling using the Pearson type VII distribution. 1-7
  
• Lester L. Solbakken:
  Dynamic segmentation using Fuzzy Oscillatory Networks. 1-8
  
• Hiroomi Hikawa, Seito Yamazaki, Tatsuya Ando, Simone Miyoshi, Yutaka Maeda:
  Comparison of range check classifier and hybrid network classifier for hand sign recognition system. 1-8
  
• Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Pablo Garcia-Gonzalez, Verónica Bolón-Canedo:
  Multiclass classifiers vs multiple binary classifiers using filters for feature selection. 1-8
  
• Tiago A. Almeida, Akebo Yamakami:
  Content-based spam filtering. 1-7
  
• Si-Yao Fu, Guosheng Yang, Zeng-Guang Hou:
  Multiple kernel learning with ICA: Local discriminative image descriptors for recognition. 1-6
  
• Shah Rizam Mohd Shah Baki, M. Annuar Mohd Z, Ihsan Mohd Yassin, Hasliza Abu Hassan, Azlee Zabidi:
  Non-destructive classification of watermelon ripeness using Mel-Frequency Cepstrum Coefficients and Multilayer Perceptrons. 1-6
  
• Morgan Bishop, Michael J. Moore, Daniel J. Burns, Robinson E. Pino, Richard Linderman:
  Affordable emerging computer hardware for neuromorphic computing applications. 1-5
  
• Dusan Sovilj, Tapani Raiko, Erkki Oja:
  Extending Self-Organizing Maps with uncertainty information of probabilistic PCA. 1-7
  
• Kristina Vassiljeva, Eduard Petlenkov, Juri Belikov:
  State-space control of nonlinear systems identified by ANARX and Neural Network based SANARX models. 1-8
  
• Àngela Nebot, Francisco Mugica, Félix Castro:
  Fuzzy predictive models to help teachers in e-learning courses. 1-7
  
• Francesco Iorio, Loredana Murino, Diego di Bernardo, Giancarlo Raiconi, Roberto Tagliaferri:
  Gene ontology fuzzy-enrichment analysis to investigate drug mode-of-action. 1-7
  
• Chih-Yu Hsu, Hao-Feng Wang, Hui-Ching Wang, Kuo-Kun Tseng, Yih-Jing Tang:
  Automatic extraction of face contours. 1-8
  
• Sara Lioba Volpi, Marco Cococcioni, Beatrice Lazzerini, Dan C. Stefanescu:
  Rolling element bearing diagnosis using convex hull. 1-8
  
• Alexander V. Kretinin, Yurij A. Bulygin, Michail I. Kirpichev, Tamara I. Darneva:
  Neuronet's method of weighted residuals for computer simulation of hydrodynamics problems. 1-6
  
• Ignazio Aleo, Paolo Arena, Luca Patané:
  Incremental learning for visual classification using Neural Gas. 1-6
  
• Pawel Wawrzynski:
  Fixed point method of step-size estimation for on-line neural network training. 1-6
  
• Saverio De Vito, Eugenio Martinelli, Raffaele Di Fuccio, Francesco Tortorella, Girolamo Di Francia, Arnaldo D'Amico, Corrado Di Natale:
  Artificial immune systems for Artificial Olfaction data analysis: Comparison between AIRS and ANN models. 1-7
  
• Geoffrey R. Guile, Wenjia Wang:
  Factors affecting boosting ensemble performance on DNA microarray data. 1-7
  
• Toni Palau, Simon Sigl, Andreas Kuhn, Helmut A. Mayer:
  A generic approach for learning performance assessment functions. 1-6
  
• Cornelius Glackin, Liam P. Maguire, Liam McDaid:
  Feature extraction from spectro-temporal signals using dynamic synapses, recurrency, and lateral inhibition. 1-6
  
• Vladyslav V. Shaposhnyk, Alessandro E. P. Villa, Tetiana Aksenova:
  Advances in structural modeling robust to outliers in explanatory and response variables. 1-8
  
• Alexis Bondu, Vincent Lemaire, Marc Boullé:
  Exploration vs. exploitation in active learning : A Bayesian approach. 1-7
  
• Marco A. Wiering, Thijs Kooi:
  Region enhanced neural Q-learning for solving model-based POMDPs. 1-8
  
• Josep L. Rosselló, Vincent Canals, Antoni Morro:
  Hardware implementation of stochastic-based Neural Networks. 1-4
  
• Ignazio Aleo, Paolo Arena, Luca Patané:
  SARSA-based reinforcement learning for motion planning in serial manipulators. 1-6
  
• Kuan-Chieh Huang, Sheng-Yu Huang, Yau-Hwang Kuo:
  Emotion recognition based on a novel triangular facial feature extraction method. 1-6
  
• Md. Asaduzzaman, Sultan Uddin Ahmed, Md. Fazle Elahi Khan, M. Shahjahan, Kazuyuki Murase:
  Making use of damped noisy gradient in training neural network. 1-5
  
• Sultan Uddin Ahmed, Md. Fazle Elahi Khan, M. Shahjahan, Kazuyuki Murase:
  A complexity based Silent Pruning Algorithm. 1-7
  
• Ilaria Ardoino, Federico Ambrogi, Chris Bajdik, Paulo J. G. Lisboa, Elia Biganzoli, Patrizia Boracchi:
  Flexible parametric modelling of the hazard function in breast cancer studies. 1-5
  
• Jean-Charles Quinton:
  Exploring and optimizing dynamic neural fields parameters using Genetic Algorithms. 1-7
  
• Hesam T. Dashti, Tiago Simas, Rita Almeida Ribeiro, Amir H. Assadi, Andre Moitinho:
  MK-means - Modified K-means clustering algorithm. 1-6
  
• Alejandro Agostini, Enric Celaya:
  Reinforcement Learning with a Gaussian mixture model. 1-8
  
• Javier P. Florido, Héctor Pomares, Ignacio Rojas, José Miguel Urquiza Ortiz, Luis Javier Herrera, Manuel Gonzalo Claros:
  Effect of pre-processing methods on microarray-based SVM classifiers in affymetrix genechips. 1-6
  
• Taisuke Nakamura, Takuma Imai, Haruhiko Takase, Naoki Morita, Hiroharu Kawanaka, Shinji Tsuruoka:
  e-Learning system to support teacher's awareness for misunderstandings in quiz. 1-5
  
• Vincenzo Di Lecce, Antonella Giove, Alessandro Quarto:
  Use of a FIS for low cost student presence detector in e-learning 2.0. 1-7
  
• Efrain Mayhua-Lopez, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal:
  Improving boosting performance with a local combination of learners. 1-7
  
• Ashraf Elsayed, Frans Coenen, Marta García-Fiñana, Vanessa Sluming:
  Region of Interest Based Image Classification using time series analysis. 1-6
  
• Mohd. Hanafi Ahmad Hijazi, Frans Coenen, Yalin Zheng:
  Retinal image classification using a histogram based approach. 1-7
  
• Francisco Zamora-Martínez, María José Castro Bleda, Salvador España Boquera, Jorge Gorbe-Moya:
  Unconstrained offline handwriting recognition using connectionist character N-grams. 1-7
  
• Niccoló Bassani, Federico Ambrogi, Danila Coradini, Patrizia Boracchi, Elia Biganzoli:
  Complementary use of cluster analysis and biplots to discover and validate patterns of gene expression in microarray data. 1-7
  
• Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas:
  An incremental learning method for neural networks in adaptive environments. 1-8
  
• Chen Zhang, Julian Eggert:
  A probabilistic method for hierarchical 2D-3D tracking. 1-8
  
• Vassilios Petridis, Nikos Zikos:
  L-SLAM: Reduced dimensionality FastSLAM algorithms. 1-7
  
• Stephan Kirstein, Heiko Wersing, Edgar Körner:
  Towards autonomous bootstrapping for life-long learning categorization tasks. 1-8
  
• Estevão Laureano Esmi, Peter Sussner:
  A fuzzy associative memory based on Kosko's subsethood measure. 1-8
  
• Victor Onclinx, John Aldo Lee, Vincent Wertz, Michel Verleysen:
  Dimensionality reduction by rank preservation. 1-8
  
• Mahmood R. Azimi-Sadjadi, Neil Wachowski:
  An information theoretic approach for in-situ underwater target classification. 1-8
  
• Nathan F. Lepora, Mathew H. Evans, Charles W. Fox, Mathew E. Diamond, Kevin N. Gurney, Tony J. Prescott:
  Naive Bayes texture classification applied to whisker data from a moving robot. 1-8
  
• Ricardo J. Bessa, Vladimiro Miranda, Jose C. Principe, Audun Botterud, Jun Wang:
  Information theoretic learning applied to wind power modeling. 1-8
  
• Yilin Kang, Ah-Hwee Tan:
  Self-organizing agents for reinforcement learning in virtual worlds. 1-8
  
• Amit Bhaya, Fernando Agustin Pazos, Eugenius Kaszkurewicz:
  The controlled conjugate gradient type trajectory-following neural net for minimization of nonconvex functions. 1-8
  
• Ryo Ito, Toshimichi Saito:
  Dynamic binary neural networks and evolutionary learning. 1-5
  
• Timothee G. Leleu:
  Building "invertible" fractals: Introduction to Context-Dependant Iterated Function Systems. 1-8
  
• Jian-Xin Xu, Xin Deng:
  Biological neural network based chemotaxis behaviors modeling of C. elegans. 1-8
  
• Sidath Ravindra Liyanage, J.-X. Xu, Cuntai Guan, Kai Keng Ang, Tong Heng Lee:
  EEG signal separation for multi-class motor imagery using common spatial patterns based on Joint Approximate Diagonalization. 1-6
  
• Alexander Nedzved, Valery Starovoitov:
  Extraction of thin color pattern from images for histology investigation. 1-7
  
• Shang-Ming Zhou, Ronan A. Lyons, Owen Bodger, Joanne C. Demmler, Mark D. Atkinson:
  SVM with entropy regularization and particle swarm optimization for identifying children's health and socioeconomic determinants of education attainments using linked datasets. 1-8
  
• Nicolas Loménie:
  Reasoning with spatial relations over high-content images. 1-7
  
• Sylvain Saïghi, Timothée Levi, Bilel Belhadj, Olivia Malot, Jean Tomas:
  Hardware system for biologically realistic, plastic, and real-time spiking neural network simulations. 1-7
  
• Haigen Hu, Lihong Xu, Ruihua Wei:
  Nonlinear adaptive Neuro-PID controller design for greenhouse environment based on RBF network. 1-7
  
• Jagdish Chandra Patra, Cédric Bornand:
  Development of Chebyshev neural network-based smart sensors for noisy harsh environment. 1-8
  
• Shuiping Gou, Hui Yang, Licheng Jiao, Xiong Zhuang:
  Algorithm of Partition based Network Boosting for imbalanced data classification. 1-6
  
• Hayrettin Gürkök, Mannes Poel, Job Zwiers:
  Classifying motor imagery in presence of speech. 1-8
  
• Jagath C. Rajapakse, Iti Chaturvedi:
  Gene regulatory networks with variable-order dynamic Bayesian networks. 1-5
  
• Ahmed Mnasser, Faouzi Bouani, Mekki Ksouri:
  Robust predictive controller based on an uncertain neural networks model. 1-6
  
• John G. Taylor:
  The creativity effect: Consciousness versus attention. 1-8
  
• John G. Taylor:
  A roadmap for autonomous adaptive systems: The brain-guided attention (BGA) system. 1-8
  
• Junya Nishiguchi, Chosei Kaseda, Hirotaka Nakayama, Masao Arakawa, Yeboon Yun:
  Modified Support Vector Regression in outlier detection. 1-5
  
• Esteban J. Palomo, Juan Miguel Ortiz-de-Lazcano-Lobato, Enrique Domínguez, Rafael Marcos Luque:
  An anomaly detection system using a GHSOM-1. 1-7
  
• Chih-Wei Lu, Chia-Yen Hsieh, Ching-Tsan Chiang:
  A Recurrent S_CMAC_GBF based estimation for global solar radiation from environmental information. 1-5
  
• Lei Tang, Ying-Ke Lei, Lin Zhu, De-Shuang Huang:
  Dimensionality reduction based on minimax risk criterion for face recognition. 1-6
  
• Michail Maniadakis, Panos E. Trahanias, Jun Tani:
  Self-organized executive control functions. 1-8
  
• Xin Jin, Alexander D. Rast, Francesco Galluppi, Sergio Davies, Steve Furber:
  Implementing spike-timing-dependent plasticity on SpiNNaker neuromorphic hardware. 1-8
  
• Chao-Hui Huang, Daniel Racoceanu, Ludovic Roux, Thomas C. Putti:
  Bio-inspired computer visual system using GPU and Visual Pattern Assessment Language (ViPAL): Application on breast cancer prognosis. 1-8
  
• Oscar Chang, Pascual Campoy, Carol Martínez, Miguel A. Olivares-Méndez:
  A robotic eye controller based on cooperative neural agents. 1-6
  
• Barbara Rakitsch, Andreas Bernauer, Oliver Bringmann, Wolfgang Rosenstiel:
  Pruning population size in XCS for complex problems. 1-8
  
• José F. Fontanari, Leonid I. Perlovsky:
  A computational model of adults' performance in naming objects using cross-situational learning. 1-8
  
• Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro:
  An MDM solver for the nearest point problem in Scaled Convex Hulls. 1-8
  
• Qing Zhang, Minho Lee:
  Fuzzy-GIST for 4-emotion recognition in natural scene images. 1-8
  
• José García Rodríguez, Anastassia Angelopoulou, Juan Manuel García Chamizo, Alexandra Psarrou:
  GNG based surveillance system. 1-8
  
• Gladston J. P. Moreira, Elizabeth F. Wanner, Frederico G. Guimarães, Luiz Duczmal, Ricardo H. C. Takahashi:
  LMI formulation for multiobjective learning in Radial Basis Function neural networks. 1-7
  
• Khaled Bashir Shaban, Abdunnaser Younes, R. Lam, M. Allison, S. Kathirgamanathan:
  Credit default swap pricing using artificial neural networks. 1-8
  
• Cameron Johnson, Ganesh K. Venayagamoorthy:
  Encoding real values into polychronous spiking networks. 1-7
  
• Ali A. Minai, Mithun Perdoor, Kiran V. Byadarhaly, Suresh Vasa, Laxmi R. Iyer:
  A synergistic view of autonomous cognitive systems. 1-8
  
• George G. Cabral, Adriano L. I. Oliveira:
  A hybrid method for novelty detection in time series based on states transitions and swarm intelligence. 1-8
  
• Dominic Palmer-Brown, Chrisina Draganova:
  Recurrent snap-drift neural network for phrase recognition. 1-5
  
• Patrick Camilleri, Massimiliano Giulioni, Maurizio Mattia, Jochen Braun, Paolo Del Giudice:
  Self-sustained activity in attractor networks using neuromorphic VLSI. 1-6
  
• André Stuhlsatz, Jens Lippel, Thomas Zielke:
  Discriminative feature extraction with Deep Neural Networks. 1-8
  
• Junmei Zhu:
  Self-organization of two interacting winner-take-all systems. 1-5
  
• Eduardo A. Kinto, Emílio Del Moral Hernandez:
  SVM - Neighbor based candidate working set selection applied on text-categorization. 1-7
  
• Jason L. Wright, Milos Manic:
  Neural network architecture selection analysis with application to cryptography location. 1-6
  
• Wenlian Lu, Jianfeng Feng:
  On Gaussian random neuronal field model: Moment neuronal network approach. 1-8
  
• Tian Ge, Wenlian Lu, Jianfeng Feng:
  Find synaptic topology from spike trains. 1-6
  
• Daesung Kang, Jooyoung Park, José C. Príncipe:
  Binary classification based on SVDD projection and nearest neighbors. 1-6
  
• Anastassia Angelopoulou, José García Rodríguez, Alexandra Psarrou, Gaurav Gupta:
  Hand gesture modelling and tracking using a Self-Organising Network. 1-7
  
• Masood Zamani, Alireza Sadeghian, Sylvain Chartier:
  A bidirectional associative memory based on cortical spiking neurons using temporal coding. 1-8
  
• Marcos G. Quiles, Liang Zhao, Fabricio A. Breve, Anderson Rocha:
  Label propagation through neuronal synchrony. 1-8
  
• Marta Ruiz-Llata, Guillermo Guarnizo, Mar Yébenes-Calvino:
  FPGA implementation of a support vector machine for classification and regression. 1-5
  
• Siti Norbaiti Abdullah, Xiaoqin Zeng:
  Machine learning approach for crude oil price prediction with Artificial Neural Networks-Quantitative (ANN-Q) model. 1-8
  
• Ricardo Cerri, André Carlos Ponce Leon Ferreira de Carvalho:
  New top-down methods using SVMs for Hierarchical Multilabel Classification problems. 1-8
  
• Dimitrios Bouzas, Nikolaos Arvanitopoulos, Anastasios Tefas:
  Optimizing subclass discriminant Error Correcting Output Codes using particle swarm optimization. 1-7
  
• Jie Ding, S. N. Balakrishnan, Frank L. Lewis:
  A Cost Function Based Single Network Adaptive Critic architecture for optimal control synthesis for a class of nonlinear systems. 1-8
  
• Marissa Milne, Martin H. Luerssen, Trent W. Lewis, Richard Leibbrandt, David M. W. Powers:
  Development of a virtual agent based social tutor for children with autism spectrum disorders. 1-9
  
• Hong Lee, Brijesh Verma:
  Over-segmentation and Neural Binary Validation for cursive handwriting recognition. 1-5
  
• Tia Vance, Natasa Reljin, Aleksandar Lazarevic, Dragoljub Pokrajac, Vojislav Kecman, Noureddine Melikechi, Aristides Marcano, Yuri Markushin, Samantha McDaniel:
  Classification of LIBS protein spectra using support vector machines and adaptive local hyperplanes. 1-7
  
• Eduardo Bayro-Corrochano, Eduardo Vázquez-Santacruz:
  A geometric radial basis function network for tracking variant 3D transformations. 1-6
  
• Takuya Kitamura, Syogo Takeuchi, Shigeo Abe:
  Feature selection and fast training of subspace based support vector machines. 1-6
  
• Aluizio Fausto Ribeiro Araújo, Hansenclever de F. Bassani, Renato Ferrari Pacheco:
  Occurrence of false memories: A neural module considering context for memorization of words lists. 1-8
  
• Pablo A. Estévez, Pablo Huijse, Pablo Zegers, José C. Príncipe, Pavlos Protopapas:
  Period detection in light curves from astronomical objects using correntropy. 1-7
  
• Peng Zhuang, Dan Wang, Yi Shang:
  SMART: Simultaneous indoor localization and map construction using smartphones. 1-8
  
• Stefan Schliebs, Michael Defoin-Platel, Nikola Kasabov:
  Analyzing the dynamics of the simultaneous feature and parameter optimization of an evolving Spiking Neural Network. 1-8
  
• Ming-Han Wu, Chih-Jen Wang, Yen-Kuang Yang, Jeen-Shing Wang, Pau-Choo Chung:
  Emotional quality level recognition based on HRV. 1-6
  
• Shen Xu, YiLu L. Murphey:
  Vehicle detection using Bayesian Network Enhanced Cascades Classification (BNECC). 1-6
  
• Trung Le, Dat Tran, Wanli Ma, Dharmendra Sharma:
  An optimal sphere and two large margins approach for novelty detection. 1-6
  
• Kou-Yuan Huang, Wen-Lung Chang:
  A neural network method for prediction of 2006 World Cup Football Game. 1-8
  
• Yuta Ishikawa, Ichiro Takeuchi:
  Detecting differentially aberrant genomic regions in multi-sample array CGH experiments using nearest-neighbor multivariate test. 1-8
  
• Mohammad Shahin Mahanta, Amirhossein S. Aghaei, Konstantinos N. Plataniotis, Subbarayan Pasupathy:
  Spatio-spectral sufficient statistic for mental imagery EEG signals. 1-7
  
• Gufei Sun, Jinglu Hu, Gengfeng Wu:
  A novel frequency band selection method for Common Spatial Pattern in Motor Imagery based Brain Computer Interface. 1-6
  
• Hiroshi Higashi, Toshihisa Tanaka, Yasue Mitsukura:
  Rhythmic component extraction considering phase alignment and the application to motor imagery-based brain computer interfacing. 1-6
  
• Takahiro Sato, Kota Watanabe, Hajime Igarashi:
  Acquisition of adaptive walking behaviors using machine learning with Central Pattern Generator. 1-8
  
• Abhishek Singh, Jose C. Principe:
  A loss function for classification based on a robust similarity metric. 1-6
  
• David Verstraeten, Joni Dambre, Xavier Dutoit, Benjamin Schrauwen:
  Memory versus non-linearity in reservoirs. 1-8
  
• Irina Topalova, Alexander Tzokev:
  Automated texture classification of marble shades with real-time PLC neural network implementation. 1-8
  
• Habib Dhahri, Adel M. Alimi:
  Opposition-based particle swarm optimization for the design of beta basis function neural network. 1-8
  
• William Newman, David Franzel, Takeshi Matsumoto, Richard Leibbrandt, Trent W. Lewis, Martin H. Luerssen, David M. W. Powers:
  Hybrid world object tracking for a virtual teaching agent. 1-9
  
• Yasuhiro Ueda, Masakazu Kawahara, Takashi Inoue, Yoko Uwate, Yoshifumi Nishio:
  Space-varying cellular neural networks designed by Hopfield neural network. 1-6
  
• Christophe Guyeux, Jacques M. Bahi:
  Topological chaos and chaotic iterations application to hash functions. 1-7
  
• Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu:
  Enhanced Two-Phase method in fast learning algorithms. 1-7
  
• Isaac Chairez, Alejandro Garcia, Alexander S. Poznyak, Tatyana Poznyak:
  Model predictive control by differential neural networks approach. 1-8
  
• Wen Yao, Xiaoqian Chen, Michel van Tooren, Yuexing Wei:
  Euclidean distance and second derivative based widths optimization of radial basis function neural networks. 1-8
  
• Shingo Noguchi, Yuko Osana:
  Improved Kohonen Feature Map Probabilistic Associative Memory based on Weights Distribution. 1-8
  
• Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
  Change detection tests using the ICI rule. 1-7
  
• Wei-Shen Tai, Chung-Chian Hsu, Jong-Chen Chen:
  A mixed-type self-organizing map with a dynamic structure. 1-8
  
• Evgenii Vityaev, Boris Kovalerchuk, Leonid I. Perlovsky, Stanislav Smerdov:
  Probabilistic Dynamic Logic of Phenomena and Cognition. 1-6
  
• Kenny Hong, Stephan K. Chalup, Robert A. King:
  A component based approach improves classification of discrete facial expressions over a holistic approach. 1-8
  
• Angel Jiménez-Fernandez, Alejandro Linares-Barranco, Rafael Paz-Vicente, Gabriel Jiménez, Antón Civit:
  Building blocks for spikes signals processing. 1-8
  
• Nariman Mahdavi Mazdeh, Mohammad Bagher Menhaj, Ahmad Afshar:
  Possibility of synchronization in Hopfield like Chaotic Neural Networks with just adding a single neuron. 1-5
  
• O. G. Mohammed, Khaled T. Assaleh, Ghaleb A. Husseini, Amin F. Majdalawieh, Scott R. Woodward:
  DNA base-calling using polynomial classifiers. 1-5
  
• Maithreye Rengaswamy, V. Srinivasa Chakravarthy:
  A study of the switching function of the Subthalamic Nucleus in saccade generation using a computational model of Basal Ganglia. 1-6
  
• Petr Kadlec, Bogdan Gabrys:
  Adaptive on-line prediction soft sensing without historical data. 1-8
  
• Hemen Showkati, Amir H. Hejazi, Sajad Elyasi:
  Short Term Load Forecasting using Echo State Networks. 1-5
  
• Kenta Hoshino, Hajime Igarashi:
  An image recognition based on neural oscillator network. 1-6
  
• Ioana Sporea, André Grüning:
  A distributed model of memory for the McGurk effect. 1-4
  
• Renata Lúcia Mendonça Ernesto do Rêgo, Aluizio Fausto Ribeiro Araújo:
  A surface reconstruction method based on self-organizing maps and intrinsic Delaunay triangulation. 1-8
  
• Yasuaki Kuroe, Tomokazu Ueyama:
  Learning methods of recurrent Spiking Neural Networks based on adjoint equations approach. 1-8
  
• Manoel C. Amorim Neto, Gustavo Tavares, Victor M. O. Alves, George D. C. Cavalcanti, Ing Ren Tsang:
  Improving financial time series prediction using exogenous series and neural networks committees. 1-8
  
• Motonobu Hattori:
  Dual-network memory model using a chaotic neural network. 1-5
  
• Juan Pablo Lacassie, Javier Ruiz-del-Solar:
  Application of artificial neural networks to the geochemical study of an impacted fluvial system. 1-8
  
• Chuan-Yu Chang, Jun-Ying Zheng, Chi-Jane Wang:
  Based on Support Vector Regression for emotion recognition using physiological signals. 1-7
  
• Altaf Ahmad Huqqani, Xin Li, Peter Paul Beran, Erich Schikuta:
  N2Cloud: Cloud based neural network simulation application. 1-5
  
• Yu-Kai Wang, Nikhil R. Pal, Chin-Teng Lin, Shi-An Chen:
  Analyzing effect of distraction caused by dual-tasks on sharing of brain resources using SOM. 1-6
  
• Hiroyasu Ando, K. Karthik, V. Srinivasa Chakravarthy:
  Studying the economy of energy expenditure in a large balanced spiking neuron network. 1-5
  
• Victor M. O. Alves, George D. C. Cavalcanti:
  A nonexclusive task decomposition method for modular neural networks. 1-6
  
• KyungHyun Cho, Tapani Raiko, Alexander Ilin:
  Parallel tempering is efficient for learning restricted Boltzmann machines. 1-8
  
• Tetsuya Hishiki, Hiroyuki Torikai:
  Neural behaviors and nonlinear dynamics of a rotate-and-fire digital spiking neuron. 1-8
  
• Lan Wang, Yu Cheng, Jinglu Hu:
  Nonlinear adaptive control using a fuzzy switching mechanism based on improved quasi-ARX neural network. 1-7
  
• Sang-Woo Ban, Bumhwi Kim, Minho Lee:
  Top-down visual selective attention model combined with bottom-up saliency map for incremental object perception. 1-8
  
• Tetsuro Iguchi, Akira Hirata, Hiroyuki Torikai:
  Integrate-and-fire-type digital spiking neuron and its learning for spike-pattern-division multiplex communication. 1-8
  
• Huanhuan Chen, Anthony G. Cohn:
  Probabilistic robust hyperbola mixture model for interpreting ground penetrating radar data. 1-8
  
• Ming Zhu, Lipo Wang:
  Intelligent trading using support vector regression and multilayer perceptrons optimized with genetic algorithms. 1-5
  
• Chuan-Yu Chang, Yan-Chiang Huang:
  Personalized facial expression recognition in indoor environments. 1-8
  
• Fabio Ruini, Angelo Cangelosi:
  An Evolutionary Robotics 3D model for autonomous MAVs navigation, target tracking and group coordination. 1-8
  
• Dmitri Yudanov, Muhammad Shaaban, Roy Melton, Leon Reznik:
  GPU-based simulation of spiking neural networks with real-time performance & high accuracy. 1-8
  
• Qiao Cai, Sheng Chen, Xiaochen Li, Nansai Hu, Haibo He, Yu-Dong Yao, Joseph Mitola III:
  An integrated incremental self-organizing map and hierarchical neural network approach for cognitive radio learning. 1-6
  
• Y. J. Huang, C. Y. Chen, B. W. Hong, T. C. Kuo, H. H. Yu:
  Fuzzy neural network based RFID indoor location sensing technique. 1-5
  
• Yoko Uwate, Yoshifumi Nishio:
  Learning process of Affordable Neural Network for backpropagation algorithm. 1-7
  
• Yu-Lin Liao, Che-Cheng Kuo, Ya-Fu Peng:
  Prediction and identification using recurrent wavelet-based cerebellar model articulation controller neural networks. 1-6
  
• Xiang Liu, Shaohua Tan:
  Identifying causal relationships in an urban information modeling framework. 1-5
  
• Reza Ghaffari, Fu Zhang, Daciana Iliescu, Evor Hines, Mark Leeson, Richard Napier, John Clarkson:
  Early detection of diseases in tomato crops: An Electronic Nose and intelligent systems approach. 1-6
  
• Sheng Chen, Haibo He, Kang Li, Sachi Desai:
  MuSeRA: Multiple Selectively Recursive Approach towards imbalanced stream data mining. 1-8
  
• Zhishan Guo, Jun Wang:
  A neurodynamic optimization approach to constrained sparsity maximization based on alternative objective functions. 1-8
  
• Obinna Anya, Hissam Tawfik, Saad Amin, Atulya Nagar, Khaled Shaalan:
  Context-aware knowledge modelling for decision support in e-health. 1-7
  
• David Tian, Keith Burley:
  Classification of micro-array gene expression data using neural networks. 1-8
  
• Mingzhen Mo, Dingyan Wang, Baichuan Li, Dan Hong, Irwin King:
  Exploit of online social networks with Semi-Supervised Learning. 1-8
  
• Runhe Huang, Masahiro Itou, Toshihiro Tamura, Jianhua Ma:
  Agents based approach for smart eco-home environments. 1-8
  
• Andre Alves Portela Santos, Leandro dos Santos Coelho, Carlos E. Klein:
  Forecasting electricity prices using a RBF neural network With GARCH errors. 1-8
  
• George Boulougaris, Kostas Kolomvatsos, Stathes Hadjiefthymiades:
  Building the knowledge base of a buyer agent using reinforcement learning techniques. 1-8
  
• Aida Ferreira, C. Almeida, Petia Georgieva, Ana Maria Tomé:
  Person identification using VEP signals and SVM classifiers. 1-8
  
• Catalina Roncancio, José Luis Rodriguez, Eduardo Zalama Casanova, Jaime Gómez:
  Improvement in service roboat's interaction through case based reasoning. 1-7
  
• Niccoló Bandinelli, Monica Bianchini, Franco Scarselli:
  Learning long-term dependencies using layered graph neural networks. 1-8
  
• Nikolaos Kourentzes, Sven F. Crone:
  Frequency independent automatic input variable selection for Neural Networks for forecasting. 1-8
  
• Keiji Tatsumi, Masato Tai, Tetsuzo Tanino:
  Multiobjective multiclass support vector machine based on the one-against-all method. 1-7
  
• Hiroshi Ninomiya:
  An Improved Online quasi-Newton method for robust training and its application to microwave neural network models. 1-8
  
• Koichiro Yamauchi:
  Incremental learning and model selection under virtual concept drifting environments. 1-8
  
• Andreas Fidjeland, Murray Shanahan:
  Accelerated simulation of spiking neural networks using GPUs. 1-8
  
• Darren Dancey, Zuhair Bandar, David McLean:
  Rule extraction from neural networks for medical domains. 1-8
  
• José Manuel Ferrández, Victor Lorente, Gabriela Diaz, Félix de la Paz, Eduardo Fernández:
  An open-source real-time system for remote robotic control using Neuroblastoma cultures. 1-8
  
• Bernardete Ribeiro, Noel Lopes, Catarina Silva:
  High-performance bankruptcy prediction model using Graphics Processing Units. 1-7
  
• Drazen Domijan:
  A competitive network for multi-object selection. 1-6
  
• Bernardete Ribeiro, Catarina Silva, Armando Vieira, António Gaspar-Cunha, João Carvalho das Neves:
  Financial distress model prediction using SVM+. 1-7
  
• Maryam Vatankhah, Mohammad R. Akbarzadeh-Totonchi, A. Moghimi:
  An intelligent system for diagnosing sleep stages using wavelet coefficients. 1-5
  
• Sebastian Stober, Christian Hentschel, Andreas Nürnberger:
  Multi-facet exploration of image collections with an adaptive multi-focus zoomable interface. 1-8
  
• Noel Lopes, Bernardete Ribeiro:
  A strategy for dealing with missing values by using selective activation neurons in a multi-topology framework. 1-5
  
• Damien Coyle, Abdul Rehman Satti, T. Martin McGinnity:
  Predictive-spectral-spatial preprocessing for a multiclass brain-computer interface. 1-8
  
• Francisco Bellas, Andrés Faiña, Gervasio Varela, Richard J. Duro:
  A cognitive developmental robotics architecture for lifelong learning by evolution in real robots. 1-8
  
• Steven Gutstein, Olac Fuentes, Eric Freudenthal:
  Latent learning in deep neural nets. 1-6
  
• Simone C. Miyoshi, Dilza Szwarcman, Marley Maria Bernardes Rebuzzi Vellasco:
  A new approach for history matching of oil and gas reservoir. 1-8
  
• Miquel Tarzan-Lorente, Agustin Gutierrez-Galvez, Dominique Martinez, Santiago Marco:
  A biologically inspired associative memory for artificial olfaction. 1-6
  
• Costas Neocleous, Kypros H. Nikolaides, Kleanthis C. Neokleous, Christos Schizas:
  Artificial neural networks for non-invasive chromosomal abnormality screening of fetuses. 1-4
  
• Tomasz Maszczyk, Wlodzislaw Duch:
  Support Feature Machines: Support vectors are not enough. 1-8
  
• M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, Cristóbal J. Carmona, María José del Jesús:
  A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design. 1-7
  
• Federico Montesino-Pouzols, Amaury Lendasse:
  Effect of different detrending approaches on computational intelligence models of time series. 1-8
  
• Daniel Leite, Pyramo Costa Jr., Fernando Gomide:
  Evolving granular neural network for semi-supervised data stream classification. 1-8
  
• Nicole L. Mineu, Teresa Bernarda Ludermir, Leandro M. Almeida:
  Topology optimization for artificial neural networks using differential evolution. 1-7
  
• Ismael F. Aymerich, Jaume Piera, Aureli Soria-Frisch:
  Potential support vector machines and Self-Organizing Maps for phytoplankton discrimination. 1-5
  
• Fengyu Cong, Anh Huy Phan, Andrzej Cichocki, Heikki Lyytinen, Tapani Ristaniemi:
  Identical fits of nonnegative matrix/tensor factorization may correspond to different extracted event-related potentials. 1-5
  
• Chun-Hsiang Chuang, Pei-Chen Lai, Li-Wei Ko, Bor-Chen Kuo, Chin-Teng Lin:
  Driver's cognitive state classification toward brain computer interface via using a generalized and supervised technology. 1-7
  
• Anastassia Angelopoulou, Alexandra Psarrou, José García Rodríguez, Gaurav Gupta:
  Tracking gestures using a probabilistic Self-Organising network. 1-7
  
• Damien Coyle, Girijesh Prasad, T. Martin McGinnity:
  On utilizing self-organizing fuzzy neural networks for financial forecasts in the NN5 forecasting competition. 1-8
  
• Raul Llinares, Jorge Igual, Julio Miró-Borrás, Andrés Camacho:
  Atrial activity estimation using periodic component analysis. 1-7
  
• James W. Fonda, Sarangapani Jagannathan, Steve E. Watkins:
  Robust neural network RISE observer based fault diagnostics and prediction. 1-8
  
• Martin Peniak, Barry Bentley, Davide Marocco, Angelo Cangelosi, Christos Ampatzis, Dario Izzo, Francesco Biscani:
  An island-model framework for evolving neuro-controllers for planetary rover control. 1-8
  
• Vassilis Vassiliades, Chris Christodoulou:
  Multiagent Reinforcement Learning in the Iterated Prisoner's Dilemma: Fast cooperation through evolved payoffs. 1-8
  
• Fengyu Cong, Tuomo Sipola, Xiaonan Xu, Tiina Huttunen-Scott, Heikki Lyytinen, Tapani Ristaniemi:
  Concatenated trial based Hilbert-Huang transformation on event-related potentials. 1-5
  
• Saeed Masoudnia, Mohammad Rostami, Mahdi Tabassian, Atena Sajedin, Reza Ebrahimpour:
  Evidence-based mixture of MLP-experts. 1-7
  
• Manuel Rivas Pérez, Alejandro Linares-Barranco, Joaquín Cerdá, Néstor Ferrando, Gabriel Jiménez, Antón Civit:
  Visual spike-based convolution processing with a Cellular Automata architecture. 1-7
  
• Encarni Marcos, Armin Duff, Martí Sánchez-Fibla, Paul F. M. J. Verschure:
  The neuronal substrate underlying order and interval representations in sequential tasks: A biologically based robot study. 1-8
  
• Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Enrique Sucar:
  Ensemble particle swarm model selection. 1-8
  
• Ya-Fu Peng, Hsiang-Wei Lai, Chih-Hui Chiu, Rong-Jong Wai:
  Robust recurrent wavelet-based CMAC control for uncertain nonlinear systems with H^∞ tracking performance. 1-8
  
• Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan:
  Opposition based computing - A survey. 1-7
  
• Juan Peralta, Xiaodong Li, Germán Gutiérrez, Araceli Sanchís:
  Time series forecasting by evolving artificial neural networks using genetic algorithms and differential evolution. 1-8
  
• José Maria Blanco Calvo, Sergi Bermúdez i Badia, Hector Tapia Simo, Paul F. M. J. Verschure:
  The real-world localization and classification of multiple odours using a biologically based neurorobotics approach. 1-7
  
• Juan Peralta, Germán Gutiérrez, Araceli Sanchís:
  Time series forecasting by evolving artificial neural networks using genetic algorithms and estimation of distribution algorithms. 1-8
  
• Moataz El Ayadi, Konstantinos N. Plataniotis:
  The effect of finite sample size on the holdout error probability estimator of homoscedastic multi-class Gaussian classification problems. 1-8
  
• Ivan Salgado, Isaac Chairez, Alejandro Garcia:
  Discrete time recurrent neural network sliding mode observer. 1-6
  
• Rafael Valle dos Santos, Marley Maria Bernardes Rebuzzi Vellasco:
  Neural expert weighing. 1-8
  
• Martin Inderbitzin, Ivan Herreros-Alonso, Paul F. M. J. Verschure:
  An integrated computational model of the two phase theory of classical conditioning. 1-8
  
• Juraj Koscak, Rudolf Jaksa, Peter Sincak:
  Stochastic weight update in the backpropagation algorithm on feed-forward neural networks. 1-4
  
• Paavo Nieminen, Tommi Kärkkäinen:
  Comparison of MLP cost functions to dodge mislabeled training data. 1-7
  
• Vitor Hugo Ferreira, Alexandre P. Alves da Silva:
  Fully Automatic Bayesian Neural Forecaster - NN GC1. 1-6
  
• Sheng-Fu Liang, Wan-Lin Chang, Herming Chiueh:
  EEG-based absence seizure detection methods. 1-4
  
• Francesca Pianosi, Durga L. Shrestha, Dimitri P. Solomatine:
  ANN-based representation of parametric and residual uncertainty of models. 1-6
  
• Cristián Bravo, Nicolas Figueroa, Richard Weber:
  Game Theory & Data Mining model for price dynamics in financial institutions. 1-8
  
• Samuel John, Heiko Wersing, Helge Ritter:
  An iterative approach to local-PCA. 1-6
  
• Marta Padilla, Alexandre Perera, Ivan Montoliu, A. Chaudry, Krishna Persaud, Santiago Marco:
  Fault detection, identification, and reconstruction of faulty chemical gas sensors under drift conditions, using Principal Component Analysis and Multiscale-PCA. 1-7
  
• Ruoqian Liu, YiLu L. Murphey:
  Time-series temporal classification using Feature Ensemble learning. 1-5
  
• Jeong-Gwan Kang, Su-Yong An, Se-Young Oh:
  Modified Neural Network aided EKF based SLAM for improving an accuracy of the feature map. 1-7
  
• Carlos Alberto de Araújo Padilha, Naiyan Hari Cândido Lima, Adrião Duarte Dória Neto, Jorge Dantas de Melo:
  An genetic approach to Support Vector Machines in classification problems. 1-4
  
• Fabricio A. Breve, Liang Zhao, Marcos G. Quiles:
  Semi-supervised learning from imperfect data through particle cooperation and competition. 1-8
  
• Yi Sun, Lun Tak Lam, Gary P. Moss, Maria Prapopoulou, Rod Adams, Neil Davey, David Gray, Marc B. Brown:
  Predicting drug absorption rates through human skin. 1-5
  
• Frederic Zubler, Rodney Douglas:
  An instruction language for the explicit programming of axonal growth patterns. 1-4
  
• Tina Yu:
  Active learning support vector machines to classify imbalanced reservoir simulation data. 1-8
  
• Daswin De Silva, Damminda Alahakoon:
  Incremental knowledge acquisition and self learning from text. 1-8
  
• Ivo Bukovsky, Martin Lepold, Jiri Bila:
  Quadratic neural unit and its network in validation of process data of steam turbine loop and energetic boiler. 1-7
  
• Lei Jiang, Jian Zhang, Gabrielle Allen:
  Transferred correlation learning: An incremental scheme for neural network ensembles. 1-8
  
• David Looney, Cheolsoo Park, Yili Xia, Preben Kidmose, Michael Ungstrup, Danilo P. Mandic:
  Towards estimating selective auditory attention from EEG using a novel time-frequency-synchronisation framework. 1-5
  
• Olcay Kursun:
  Spectral Clustering with Reverse Soft K-Nearest Neighbor Density Estimation. 1-8
  
• Catarina Silva, Bernardete Ribeiro, Noel Lopes:
  Improving recall values in breast cancer diagnosis with Incremental Background Knowledge. 1-6
  
• Heike Sichtig, J. David Schaffer, Alberto Riva:
  Evolving Spiking Neural Networks for predicting transcription factor binding sites. 1-8
  
• Steven D. Essinger, Robi Polikar, Gail L. Rosen:
  Neural network-based taxonomic clustering for metagenomics. 1-7
  
• Fábio Mendes Soares, Roberto Célio Limão de Oliveira:
  Modelling of temperature in the aluminium smelting process using Neural Networks. 1-7
  
• Basabdatta Sen Bhattacharya, Damien Coyle, Liam P. Maguire:
  Thalamocortical circuitry and alpha rhythm slowing: An empirical study based on a classic computational model. 1-7
  
• Cristiano Cabrita, António E. B. Ruano, László T. Kóczy:
  A new domain decomposition for B-spline Neural Networks. 1-8
  
• David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson:
  Software defect prediction using static code metrics underestimates defect-proneness. 1-7
  
• Bruno Feres de Souza, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares:
  A comprehensive comparison of ML algorithms for gene expression data classification. 1-8
  
• Selene L. Cardenas-Maciel, Oscar Castillo, Luis T. Aguilar, Juan R. Castro:
  A T-S Fuzzy Logic Controller for biped robot walking based on adaptive network fuzzy inference system. 1-8
  
• Ricardo Salmon, Alireza Sadeghian, Sylvain Chartier:
  Reinforcement learning using associative memory networks. 1-7
  
• Xiaochen Li, Haibo He, Yu-Dong Yao:
  Reinforcement learning based adaptive rate control for delay-constrained communications over fading channels. 1-7
  
• Mariano Rubiolo, Georgina Stegmayer, Diego H. Milone:
  Compressing a neural network classifier using a Volterra-Neural Network model. 1-7
  
• Paulo S. G. de Mattos Neto, Aranildo R. Lima, Tiago A. E. Ferreira, George D. C. Cavalcanti:
  An intelligent perturbative approach for the time series forecasting problem. 1-8
  
• Jin Xu, Haibo He, Hong Man:
  DCPE co-training: Co-training based on diversity of class probability estimation. 1-7
  
• Vassilis Syrris, Vassilios Petridis:
  A hierarchical predictive scheme for incremental time-series classification. 1-8
  
• Shahab Mehraeen, Sarangapani Jagannathan:
  Decentralized nearly optimal control of a class of interconnected nonlinear discrete-time systems by using online Hamilton-Bellman-Jacobi formulation. 1-8
  
• Yuxin Ding, Ye Li, Min Xiao, Qing Wang, Dong Li:
  A high order neural network to solve N-queens problem. 1-6
  Autonomous cognition and reinforcement learning for mobile robots.
• Rodrigo Calvo, Mauricio Figueiredo, Roseli A. Francelin Romero:
  Autonomous cognition and reinforcement learning for mobile robots. 1-8
  
• Dimitar P. Filev, Ilya V. Kolmanovsky:
  A generalized Markov Chain modeling approach for on board applications. 1-8
  
• Leonid I. Perlovsky, Roman Ilin:
  The knowledge instinct of autonomous adaptation. 1-8
  
• Yoshitsugu Kakemoto, Shinichi Nakasuka:
  Neural assembly generation by selective connection weight updating. 1-6
  
• Seiichi Ozawa, Sho Nakasaka, Asim Roy:
  An autonomous incremental learning algorithm of Resource Allocating Network for online pattern recognition. 1-8
  
• Haibo He:
  Toward a Smart Grid: Integration of computational intelligence into Power Grid. 1-6
  
• Jungme Park, ZhiHang Chen, YiLu L. Murphey:
  Intelligent vehicle power management through neural learning. 1-7
  
• Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola Kasabov:
  Incremental and decremental LDA learning with applications. 1-8
  
• Brendon J. Woodford:
  Automatic optimization of pruning in evolving fuzzy neural networks using an entropy measure. 1-7
  
• Sampath Yerramalla, Edgar Fuller, Bojan Cukic:
  Optimal method for growth in dynamic self organizing learning systems. 1-7
  
• Isaac J. Sledge:
  A projection transform for non-Euclidean relational clustering. 1-8
  
• Xiaoxiao Song, Songhua Xu, Willard L. Miranker:
  Kernel based principal component for recognizing handwritten numbers. 1-8
  
• Wenwen Wang, Budhitama Subagdja, Ah-Hwee Tan, Janusz A. Starzyk:
  A self-organizing approach to episodic memory modeling. 1-8
  
• Teijiro Isokawa, Haruhiko Nishimura, Nobuyuki Matsui:
  Commutative quaternion and multistate Hopfield neural networks. 1-6
  
• Yasuhiro Sogawa, Shohei Shimizu, Yoshinobu Kawahara, Takashi Washio:
  An experimental comparison of linear non-Gaussian causal discovery methods and their variants. 1-8
  
• Yi-Hsin Yu, Pei-Chen Lai, Li-Wei Ko, Chun-Hsiang Chuang, Bor-Chen Kuo, Chin-Teng Lin:
  An EEG-based classification system of Passenger's motion sickness level by using feature extraction/selection technologies. 1-6
  
• Juyang Weng:
  A 5-chunk developmental brain-mind network model for multiple events in complex backgrounds. 1-8
  
• Masahiro Saito, Masafumi Hagiwara:
  Natural language processing neural network for analogical inference. 1-7
  
• Michele Donato, Sorin Draghici:
  Signaling pathways coupling phenomena. 1-6
  
• Giang Hoang Nguyen, Son Lam Phung, Abdesselam Bouzerdoum:
  Efficient SVM training with reduced weighted samples. 1-5
  
• Eduardo S. Ogasawara, Leonardo C. Martinez, Daniel de Oliveira, Geraldo Zimbrão, Gisele L. Pappa, Marta Mattoso:
  Adaptive Normalization: A novel data normalization approach for non-stationary time series. 1-8
  
• Ivo Bukovsky, Kei Ichiji, Noriyasu Homma, Makoto Yoshizawa, Ricardo Rodriguez:
  Testing potentials of dynamic quadratic neural unit for prediction of lung motion during respiration for tracking radiation therapy. 1-6
  
• Miguel Lechon, Dominique Martinez, Paul F. M. J. Verschure, Sergi Bermúdez i Badia:
  The role of neural synchrony and rate in high-dimensional input systems. The Antennal Lobe: A case study. 1-5
  
• Tarek M. Taha, Pavan Yalamanchili, Mohammad A. Bhuiyan, Rommel Jalasutram, Chong Chen, Richard Linderman:
  Neuromorphic algorithms on clusters of PlayStation 3s. 1-10
  
• Hyung-Ook Park, Alireza A. Dibazar, Theodore W. Berger:
  Discrete Synapse Recurrent Neural Network for nonlinear system modeling and its application on seismic signal classification. 1-7
  
• Draguna Vrabie, Frank L. Lewis:
  Adaptive Dynamic Programming algorithm for finding online the equilibrium solution of the two-player zero-sum differential game. 1-8
  
• Chris Yakopcic, Eunsung Shin, Tarek M. Taha, Guru Subramanyam, P. Terrence Murray, Stanley Rogers:
  Fabrication and testing of memristive devices. 1-4
  
• Simona Doboli, Vincent R. Brown:
  An emergent attractors model for idea generation process. 1-8
  
• El-Sayed M. El-Alfy:
  A hierarchical GMDH-based polynomial neural network for handwritten numeral recognition using topological features. 1-7
  
• Abhinav Mithal, Toma I. Hentea:
  Computational model for estimation of refractory wear and skull deposition in blast furnace hearth wall. 1-5
  
• Shahab Mehraeen, Travis Dierks, Sarangapani Jagannathan, Mariesa L. Crow:
  Zero-sum two-player game theoretic formulation of affine nonlinear discrete-time systems using neural networks. 1-8
  
• Tuve Löfström, Ulf Johansson, Henrik Boström:
  Comparing methods for generating diverse ensembles of artificial neural networks. 1-6
  
• Gregory Ditzler, Robi Polikar:
  An ensemble based incremental learning framework for concept drift and class imbalance. 1-8
  
• Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Alexei A. Belochitski:
  Development of neural network convection parameterizations for numerical climate and weather prediction models using cloud resolving model simulations. 1-8
  
• Andreas Müller, Hannes Schulz, Sven Behnke:
  Topological features in locally connected RBMs. 1-6
  
• Asim Roy:
  On NSF "open questions, " some external properties of the brain as a learning system and an architecture for autonomous learning. 1-8
  
• Sandeep Chandana, Henry Leung:
  Complex situation modeling in distributed sensor networks. 1-8
  
• Donglin Wang, Sandeep Chandana, Renlun He, Jiuqiang Han, Xiangyu Zhu, Ke Zou, Yong He:
  Intelligent sensor design in network based automatic control. 1-6
  
• Alireza A. Dibazar, Sageev T. George, Theodore W. Berger:
  Statistical spiking model for real world pattern recognition applications. 1-4
  
• Antonio S. Oblea, Achyut Timilsina, David Moore, Kristy A. Campbell:
  Silver chalcogenide based memristor devices. 1-3
  
• Yukun Chen, Serial Mani:
  Study of active learning in the challenge. 1-7
  
• Zhengping Ji, Juyang Weng:
  WWN-2: A biologically inspired neural network for concurrent visual attention and recognition. 1-8
  
• Paulo J. L. Adeodato, Rosalvo F. O. Neto:
  pRAM n-tuple Classifier - a new architecture of probabilistic RAM neurons for classification problems. 1-7
  
• Ramaswamy Savitha, Sundaram Suresh, Narasimhan Sundararajan:
  A self-regulated learning in Fully Complex-valued Radial Basis Function Networks. 1-8
  
• Davide Caputo, Francesco Grimaccia, Marco Mussetta, Riccardo Enrico Zich:
  Photovoltaic plants predictive model by means of ANN trained by a hybrid evolutionary algorithm. 1-6
  
• Abdulrahman Altahhan:
  Robot visual homing using conjugate gradient Temporal Difference learning, radial basis features and a whole image measure. 1-10
  
• Syrine Boudoua, Faiza Hamerlain, Mustapha Hamerlain:
  Neuro sliding mode based chatter free control for an artificial muscles robot arm. 1-7
  
• Rukshan Batuwita, Vasile Palade:
  Efficient resampling methods for training support vector machines with imbalanced datasets. 1-8
  
• Matthew D. Luciw, Juyang Weng:
  Where-What Network 3: Developmental top-down attention for multiple foregrounds and complex backgrounds. 1-8
  
• Breiffni Fitzgerald, John Arrigan, Biswajit Basu:
  Damage detection in wind turbine blades using time-frequency analysis of vibration signals. 1-5
  
• Michael Baskara L. A. Siek, Dimitri P. Solomatine:
  Multi-model ensemble forecasting in high dimensional chaotic system. 1-8
  
• Olivia Mendoza, Patricia Melin, Oscar Castillo:
  Neural networks recognition rate as index to compare the performance of fuzzy edge detectors. 1-6
  
• Antonio Luiz dos Santos Filho, Francisco Javier Ramirez Fernandez:
  Neural networks to improve mathematical model adaptation in the flat steel cold rolling process. 1-7
  
• Claudio Gallicchio, Alessio Micheli:
  Graph Echo State Networks. 1-8
  
• Elisabet Parras-Gutierrez, Víctor M. Rivas:
  Time series forecasting: Automatic determination of lags and radial basis neural networks for a changing horizon environment. 1-7
  
• Max H. Garzon, Buvaneshwari Sivakumar:
  A neurocontrol for automatic reconstruction of facial displays. 1-6
  
• Laxmi R. Iyer, Vaidehi Venkatesan, Ali A. Minai:
  Neurocognitive spotlights: Configuring domains for ideation. 1-8
  
• Mahmoud Abou-Nasr:
  Terrain identification in grayscale images with recurrent neural networks. 1-5
  
• Bing Han, Tarek M. Taha:
  Neuromorphic models on a GPGPU cluster. 1-8
  
• Davide Bacciu, Alessio Micheli, Alessandro Sperduti:
  Compositional generative mapping of structured data. 1-8
  
• Francesco Napolitano, Roberto Tagliaferri, Pierre Baldi:
  A scalable reference-point based algorithm to efficiently search large chemical databases. 1-6
  
• Ammar Belatreche, Liam P. Maguire, T. Martin McGinnity, Arfan Ghani, Liam McDaid:
  Application of biologically inspired neural oscillators to colour image segmentation. 1-8
  
• Sotirios Ch. Diamantas, Anastasios Oikonomidis, Richard M. Crowder:
  Towards optical flow-based robotic homing. 1-9
  
• José Alfredo F. Costa, Hujun Yin:
  Gradient-based SOM clustering and visualisation methods. 1-8
  
• Cyrus Jahanchahi, Clive Cheong Took, Danilo P. Mandic:
  On HR calculus, quaternion valued stochastic gradient, and adaptive three dimensional wind forecasting. 1-5
  
• Stefano Ferrari, Francesco Bellocchio, Vincenzo Piuri, N. Alberto Borghese:
  Multi-scale Support Vector Regression. 1-7
  
• Juan Jose Cordova, Wen Yu:
  Recurrent wavelets neural networks learning via dead zone Kalman filter. 1-7
  
• Lizette Gutierrez, Patricia Melin, Miguel Lopez:
  Modular neural network integrator for human recognition from ear images. 1-5
  
• Oresti Baños, Héctor Pomares, Ignacio Rojas:
  Ambient living activity recognition based on feature-set ranking using intelligent systems. 1-4
  
• Sven F. Crone, Nikolaos Kourentzes:
  Naive Support Vector Regression and Multilayer Perceptron benchmarks for the 2010 neural network grand competition (NNGC) on time series prediction. 1-8
  
• Ya Xue, Neil H. W. Eklund, Xiao Hu, Weizhong Yan:
  Time receiver operating characteristic (tROC) curves: A new tool for evaluating the performance of diagnostic systems. 1-7
  
• Vishal Sharma, Dipti Srinivasan:
  A spiking neural network based on temporal encoding for electricity price time series forecasting in deregulated markets. 1-8
  
• Christian Romero, José Mario García Valdez, Arnulfo Alanis Garza:
  A comparative study of machine learning techniques in blog comments spam filtering. 1-7
  
• Enrique Romero, Ana Sofia Fernandes, Tingting Mu, Paulo J. G. Lisboa:
  Cohort-based kernel visualisation with scatter matrices. 1-8
  
• Ya Xue, Xiao Hu, Weizhong Yan, Hai Qiu:
  Learning mixtures of experts with a hybrid generative-discriminative algorithm. 1-8
  
• Guillermo S. Donatti, Oliver Lomp, Rolf P. Würtz:
  Evolutionary optimization of growing neural gas parameters for object categorization and recognition. 1-8
  
• Fabian Ojeda, Tillmann Falck, Bart De Moor, Johan A. K. Suykens:
  Polynomial componentwise LS-SVM: Fast variable selection using low rank updates. 1-7
  
• Constantin Volosencu, Daniel-Ioan Curiac:
  Monitoring of distributed parameter systems based on a sensor network and ANFIS. 1-8
  
• Alberto Guillén, Carlos Tovar, Luis Javier Herrera, Héctor Pomares, Jose Gonzalez, J. F. Guillen, Ignacio Rojas:
  Predicting marital dissolutions using radial basis function neural networks. 1-4
  
• Antonio J. Serrano, Emilio Soria-Olivas, José David Martín-Guerrero, Rafael Magdalena, Juan Gómez:
  Feature selection using ROC curves on classification problems. 1-6
  
• Ruggero Donida Labati, Vincenzo Piuri, Fabio Scotti:
  Neural-based quality measurement of fingerprint images in contactless biometric systems. 1-8
  
• Jordi Albo-Canals, José A. Villasante-Bembibre, Sergi Consul-Pacareu, Jordi Riera-Babures, Xavier Vilasís-Cardona:
  Robot guiding with obstacle avoidance algorithm for uncertain enviroments based on DTCNN. 1-6
  
• Antonio Miguel Mora, Luis Javier Herrera, José Miguel Urquiza Ortiz, Ignacio Rojas, Juan Julián Merelo Guervós:
  Applying support vector machines and mutual information to book losses prediction. 1-7
  
• Eduardo Gómez-Ramírez, Anna Rubi-Velez, Giovanni Egidio Pazienza:
  Learning in Polynomial Cellular neural networks using quadratic programming. 1-5
  
• Devon K. Barrow, Sven F. Crone, Nikolaos Kourentzes:
  An evaluation of neural network ensembles and model selection for time series prediction. 1-8
  
• Robert Prueckl, Christoph Guger:
  Controlling a robot with a brain-computer interface based on steady state visual evoked potentials. 1-5
  
• Paulo J. G. Lisboa, Ana Sofia Fernandes, José Manuel Fonseca, Chris Bajdik, Elia Biganzoli:
  Assessment of benefit vs. risk of drug therapy: The potential for outcome analysis with flexible models. 1-8
  
• G. M. Shafiullah, A. B. M. Shawkat Ali, Adam Thompson, Peter J. Wolfs:
  Rule-based classification approach for railway wagon health monitoring. 1-7
  
• Goutam Chakraborty, H. Kurokawa, Basabi Chakraborty, Masafumi Matsuhara, Hiroshi Mabuchi, Yasuo Terayama:
  How best to restore operations of a damaged ANN? 1-7
  
• Wajeeha Khalil, Jürgen Mangler, Erich Schikuta:
  Virtual Organization for computational intelligence (VOCI): architecture and realization. 1-7
  
• Agusti Solanas, Úrsula González-Nicolás, Antoni Martínez-Ballesté:
  A variable-MDAV-based partitioning strategy to continuous multivariate microaggregation with genetic algorithms. 1-7
  
• Mingbo Ma, Ryan Gonet, RuiZhi Yu, Georgios C. Anagnostopoulos:
  Metric representations of data via the Kernel-based Sammon Mapping. 1-7
  
• Albert Samà, Diego E. Pardo Ayala, Joan Cabestany, Alejandro Rodríguez-Molinero:
  Time series analysis of inertial-body signals for the extraction of dynamic properties from human gait. 1-5
  
• Leif E. Peterson, Jaya Paranilam, Jiaqiong Xu, Federico A. Monzon:
  Genome-wide germline single nucleotide polymorphisms for cancer classification in the Framingham Heart Study. 1-7
  
• M. Srinivas, C. Krishna Mohan:
  Efficient clustering approach using incremental and hierarchical clustering methods. 1-7
  
• Robert Kozma, Marko Puljic:
  Chaotic behavior in probabilistic cellular neural networks. 1-7
  
• Janusz A. Starzyk, Pawel Raif, Ah-Hwee Tan:
  Mental development and representation building through motivated learning. 1-8
  
• John Aldo Lee, Michel Verleysen:
  Unsupervised dimensionality reduction: Overview and recent advances. 1-8
  
• Ming-Hen Tsai, Chia-Hua Ho, Chih-Jen Lin:
  Active learning strategies using SVMs. 1-8