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ORCIDIJCNN 2016: Vancouver, BC, Canada
- 2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, BC, Canada, July 24-29, 2016. IEEE 2016, ISBN 978-1-5090-0620-5
- Chamari I. Kithulgoda, Russel Pears:
Staged Online Learning: A new approach to classification in high speed data streams. 1-8 - Lena Pietruczuk, Leszek Rutkowski
, Maciej Jaworski, Piotr Duda:
A method for automatic adjustment of ensemble size in stream data mining. 9-15 - Ludmila I. Kuncheva, Iain A. D. Gunn:
A concept-drift perspective on prototype selection and generation. 16-23 - Feng Gu, Guangquan Zhang, Jie Lu, Chin-Teng Lin:
Concept drift detection based on equal density estimation. 24-30 - Shin-Ying Huang, Jhe-Wei Lin, Rua-Huan Tsaih:
Outlier detection in the concept drifting environment. 31-37 - Gregory Ditzler:
A study of an incremental spectral meta-learner for nonstationary environments. 38-44 - Phil D. Picton:
Threshold logic: Is there finally a solution? 45-51 - Celso André R. de Sousa:
An overview on weight initialization methods for feedforward neural networks. 52-59 - Tim Hendtlass, Hans Pierrot:
A network that uses parametric weights. 60-67 - Philip de Chazal, Mark D. McDonnell:
Efficient computation of the Levenberg-Marquardt algorithm for feedforward networks with linear outputs. 68-75 - Paulo J. L. Adeodato, Rosalvo F. Oliveira Neto:
Polynomial approximation RAM neuron capable of handling true continuous input variables. 76-83 - Prayag Gowgi, Shayan Garani Srinivasa:
Density transformation and parameter estimation from back propagation algorithm. 84-91 - Dongdong Cheng, Qingsheng Zhu, Jinlong Huang, Lijun Yang:
Natural neighbor-based clustering algorithm with density peeks. 92-98 - Quan Do, Wei Liu:
ASTEN: An accurate and scalable approach to Coupled Tensor Factorization. 99-106 - Ruiqi Hu, Shirui Pan, Guodong Long, Xingquan Zhu, Jing Jiang, Chengqi Zhang:
Co-clustering enterprise social networks. 107-114 - Siqi Xiang, Wenge Rong, Yikang Shen, Yuanxin Ouyang, Zhang Xiong:
Multidimensional scaling based knowledge provision for new questions in community Question Answering systems. 115-122 - Eduardo Machado, Marcello Serqueira, Eduardo S. Ogasawara, Ricardo Ogando, Marcio A. G. Maia, Luiz Nicolaci da Costa, Riccardo Campisano, Gustavo Paiva Guedes, Eduardo Bezerra:
Exploring machine learning methods for the Star/Galaxy Separation Problem. 123-130 - Tannaz Sattari Tabrizi, Mohammad Reza Khoie, Elham Sahebkar Khorasani, Shahram Rahimi, Nina Marhamati:
Towards a patient satisfaction based hospital recommendation system. 131-138 - Daniela Sánchez, Patricia Melin, Juan Martín Carpio, Héctor Puga:
A firefly algorithm for modular granular neural networks optimization applied to iris recognition. 139-144 - Catherine D. Schuman, James S. Plank, Adam Disney, John Reynolds:
An evolutionary optimization framework for neural networks and neuromorphic architectures. 145-154 - Feng Sha, Wanming Huang, Yuk Ying Chung, Ying Zhou, Kevin K. Y. Kuan, Wei-Chang Yeh:
Multi-swarms Dynamic Convergence Optimization for object tracking. 155-162 - Fevrier Valdez, Oscar Castillo, Patricia Melin:
Ant colony optimization for the design of Modular Neural Networks in pattern recognition. 163-168 - Guang Liu, Yuk Ying Chung, Wei-Chang Yeh:
A simplified swarm optimization for object tracking. 169-176 - Yaqing Hou, Liang Feng, Yew-Soon Ong:
Creating human-like non-player game characters using a Memetic Multi-Agent System. 177-184 - Pedro Machado, Alicia Costalago Meruelo, Nikesh Lama, David Ada Adama, Kofi Appiah, T. Martin McGinnity, Alexey Petrushin, Lorenzo Ferrara, Axel W. Blau:
Si elegans: Evaluation of an innovative optical synaptic connectivity method for C. elegans Phototaxis using FPGAs. 185-191 - Aliasghar Makhlooghpour, Hamid Soleimani, Arash Ahmadi, Mark Zwolinski, Mehrdad Saif:
High accuracy implementation of Adaptive Exponential integrated and fire neuron model. 192-197 - Kei Yamaoka, Toshimichi Saito:
Realization of desired super-stable spike-trains based on digital spiking neurons. 198-205 - Gary B. Parker, Mohammad O. Khan:
Distributed neural network: Dynamic learning via backpropagation with hardware neurons using arduino chips. 206-212 - Shaghayegh Gomar, Mitra Mirhassani, Majid Ahmadi, Mehrdad Saif:
A digital neuromorphic circuit for neural-glial interaction. 213-218 - Narutoshi Jodai, Hiroyuki Torikai:
A hardware-efficient multi-compartment soma-dendrite model based on asynchronous cellular automaton dynamics. 219-226 - Nima Mousavi, Henrique Siqueira, Pablo V. A. Barros, Bruno J. T. Fernandes, Stefan Wermter:
Understanding how deep neural networks learn face expressions. 227-234 - Renhao Liu, Lawrence O. Hall, Dmitry B. Goldgof, Mu Zhou, Robert A. Gatenby, Kaoutar Ben Ahmed:
Exploring deep features from brain tumor magnetic resonance images via transfer learning. 235-242 - Rotem Golan, Christian Jacob, Jörg Denzinger:
Lung nodule detection in CT images using deep convolutional neural networks. 243-250 - Guillermo Cabrera-Vives, Ignacio Reyes, Francisco Förster, Pablo A. Estévez, Juan-Carlos Maureira:
Supernovae detection by using convolutional neural networks. 251-258 - Gabriel S. Simoes, Jonatas Wehrmann, Rodrigo C. Barros, Duncan D. Ruiz:
Movie genre classification with Convolutional Neural Networks. 259-266 - Markus Eisenbach, Daniel Seichter, Tim Wengefeld, Horst-Michael Gross:
Cooperative multi-scale Convolutional Neural Networks for person detection. 267-276 - Sumit Bam Shrestha, Qing Song:
Adaptive delay learning in SpikeProp based on delay convergence analysis. 277-284 - Daqi Liu, Shigang Yue:
Visual pattern recognition using unsupervised spike timing dependent plasticity learning. 285-292 - Satoshi Matsuda:
BPSpike: A backpropagation learning for all parameters in spiking neural networks with multiple layers and multiple spikes. 293-298 - Priyadarshini Panda, Kaushik Roy:
Unsupervised regenerative learning of hierarchical features in Spiking Deep Networks for object recognition. 299-306 - Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida:
Acquisition of visual features through probabilistic spike-timing-dependent plasticity. 307-314 - Sou Nobukawa, Haruhiko Nishimura, Teruya Yamanishi:
Chaotic states caused by discontinuous resetting process in spiking neuron model. 315-319 - Anil Yesilkaya, Onur Karatalay, Arif Selçuk Ögrenci, Erdal Panayirci:
Channel estimation for visible light communications using neural networks. 320-325 - Rodrigo G. F. Soares, Emeson J. S. Pereira:
On the performance of pairings of activation and loss functions in neural networks. 326-333 - Zhigang Wang, Zeng-Shun Zhao, Changshui Zhang:
Learning with only multiple instance positive bags. 334-341 - Chao Lan, Yujie Deng, Xiaoli Li, Jun Huan:
Co-regularized least square regression for multi-view multi-class classification. 342-347 - Hoon Chung, Sung Joo Lee, Jeon Gue Park:
Deep neural network using trainable activation functions. 348-352 - Jia Li, Hua Xu, Junhui Deng, Xiaomin Sun:
Hyperbolic linear units for deep convolutional neural networks. 353-359 - Andreas Antoniades, Clive Cheong Took:
Speeding up feature selection: A deep-inspired network pruning algorithm. 360-366 - Xing Sun, Zhimin Xu, Nan Meng, Edmund Y. Lam, Hayden Kwok-Hay So:
Data-driven light field depth estimation using deep Convolutional Neural Networks. 367-374 - Haoze Sun, Weidi Xu, Chao Deng, Ying Tan:
Multi-digit image synthesis using recurrent conditional variational autoencoder. 375-380 - Sojeong Ha, Seungjin Choi:
Convolutional neural networks for human activity recognition using multiple accelerometer and gyroscope sensors. 381-388 - Guanglei Qi, Yanfeng Sun, Junbin Gao, Yongli Hu, Jinghua Li:
Matrix Variate Restricted Boltzmann Machine. 389-395 - Chi-Chung Cheung, Sean Shensheng Xu, Sin Chun Ng:
A systematic algorithm to escape from local minima in training feed-forward neural networks. 396-402 - Rosângela Saher Corrêa Cintra, Haroldo F. de Campos Velho, Steven Cocke:
Tracking the model: Data assimilation by artificial neural network. 403-410 - Elahe Eskandari, Arash Ahmadi, Shaghayegh Gomar, Majid Ahmadi, Mehrdad Saif:
Evolving Spiking Neural Networks of artificial creatures using Genetic Algorithm. 411-418 - Josef Bostik, Martin Klimt, Matej Mojzes, Jaromír Kukal, Ivo Bukovsky, Matous Cejnek:
V-shaped neurons in hidden layer of ANN universal approximator without flat domains. 419-425 - Pedro Tabacof, Eduardo Valle:
Exploring the space of adversarial images. 426-433 - Chiu-Hsiung Chen, Ya-Fu Peng, Sheng-Chieh Chung:
WNN-based robust total-sliding-mode control for the synchronization of uncertain chaotic systems. 434-439 - Naima Chouikhi, Raja Fdhila, Boudour Ammar, Nizar Rokbani, Adel M. Alimi:
Single- and multi-objective particle swarm optimization of reservoir structure in Echo State Network. 440-447 - Andros Tjandra, Sakriani Sakti, Ruli Manurung, Mirna Adriani, Satoshi Nakamura:
Gated Recurrent Neural Tensor Network. 448-455 - Miao Xin, Hong Zhang, Mingui Sun, Ding Yuan:
Recurrent Temporal Sparse Autoencoder for attention-based action recognition. 456-463 - Hajer Brahmi, Boudour Ammar, Adel M. Alimi, Farouk Chérif:
Pseudo almost periodic solutions of impulsive recurrent neural networks with mixed delays. 464-470 - Gang Wang, De-Shuang Huang:
Representing logical relations automatically by Probabilistic Logical Dynamical Neural Network. 471-476 - Hui Zhang, Huaping Liu, Rui Song, Fuchun Sun:
Nonlinear non-negative matrix factorization using deep learning. 477-482 - Wen Yu, Xiaoou Li, Daniel Munoz Carrillo:
Hierarchical dynamic neural networks for cascade system modeling with application to wastewater treatment. 483-488 - Ratneel Deo, Rohitash Chandra:
Identification of minimal timespan problem for recurrent neural networks with application to cyclone wind-intensity prediction. 489-496 - Alok Kanti Deb, Dibyendu Guha:
Estimation of states of a nonlinear plant using Dynamic Neural Network and Kalman Filter. 497-502 - Christina Klüver:
Self-Enforcing Networks (SEN) for the development of (medical) diagnosis systems. 503-510 - Daniel B. Araya, Katarina Grolinger, Hany F. ElYamany, Miriam A. M. Capretz, Girma T. Bitsuamlak:
Collective contextual anomaly detection framework for smart buildings. 511-518 - Suwannee Phitakwinai, Sansanee Auephanwiriyakul, Nipon Theera-Umpon:
Multilayer perceptron with Cuckoo search in water level prediction for flood forecasting. 519-524 - Yan Yin, Junmin Wu, Huanxin Zheng:
Ncfm: Accurate handwritten digits recognition using Convolutional Neural Networks. 525-531 - Dayiheng Liu, Jian Cheng Lv, Xiaofeng Qi, Jiangshu Wei:
A neural words encoding model. 532-536 - Xiangsheng Li, Jianhui Pang, Biyun Mo, Yanghui Rao:
Hybrid neural networks for social emotion detection over short text. 537-544 - Daisuke Kobayashi, Noriko Yata, Yoshitsugu Manabe:
Acquisition of image features for material perception from fine-tuned convolutional neural networks. 545-550 - Felipe Grando, Luís C. Lamb:
On approximating networks centrality measures via neural learning algorithms. 551-557 - Sergio Ledesma, Juan Manuel Belman-Flores:
Analysis of COP stability in a refrigeration system using artificial neural networks. 558-565 - Haytham M. Fayek, Margaret Lech, Lawrence Cavedon:
Modeling subjectiveness in emotion recognition with deep neural networks: Ensembles vs soft labels. 566-570 - Lu Jiang, Tong Zhao, Chaochao Bai, A. Yong, Min Wu:
A direct fingerprint minutiae extraction approach based on convolutional neural networks. 571-578 - Daniel M. Hagan, Martin T. Hagan:
Virtual drug screening using neural networks. 579-587 - Jianqing Gao, Jun Du, Changqing Kong, Huaifang Lu, Enhong Chen, Chin-Hui Lee:
An experimental study on joint modeling of mixed-bandwidth data via deep neural networks for robust speech recognition. 588-594 - Yuanchun Li, Guibin Ding, Bo Zhao, Bo Dong, Guangjun Liu:
Decentralized adaptive neural network sliding mode control for reconfigurable manipulators with data-based modeling. 595-602 - Ivo Petrás:
A note on fractional-order non-linear controller: possible neural network approach to design. 603-608 - Peng Zhang, Xiaosong Liu, Bo Zhao, Mujun Xie, Keping Liu, Yuanchun Li:
Asteroid landing via onboard optimal guidance based on bidirectional extreme learning machine. 609-615 - Xin Xu, Nan Mu, Xiaolong Zhang, Bo Li:
Covariance descriptor based convolution neural network for saliency computation in low contrast images. 616-623 - Stiaan Wiehman, Hendrik de Villiers:
Semantic segmentation of bioimages using convolutional neural networks. 624-631 - Lihua Guo, Chenggan Guo:
A deep sparse coding method for fine-grained visual categorization. 632-639 - Jessika Fonseca Fernandes, Flavio Bezerra Costa, Rodrigo Prado de Medeiros:
Power transformer disturbance classification based on the wavelet transform and artificial neural networks. 640-646 - Roney L. de S. Santos, Rogério Figueredo de Sousa, Ricardo A. L. Rabêlo, Raimundo Santos Moura:
An experimental study based on Fuzzy Systems and Artificial Neural Networks to estimate the importance of reviews about product and services. 647-653 - Emanuele Ogliari, Alessandro Gandelli, Francesco Grimaccia, Sonia Leva, Marco Mussetta:
Neural forecasting of the day-ahead hourly power curve of a photovoltaic plant. 654-659 - Loau Tawfak Al Bahrani, Jagdish C. Patra, Ryszard Kowalczyk:
Orthogonal PSO algorithm for optimal dispatch of power of large-scale thermal generating units in smart power grid under power grid constraints. 660-667 - Guido Bologna, Yoichi Hayashi:
A rule extraction study on a neural network trained by deep learning. 668-675 - Jeremy Storer, Robert Green:
PSO trained Neural Networks for predicting forest fire size: A comparison of implementation and performance. 676-683 - Andrii Shalaginov, Lars Strande Grini, Katrin Franke:
Understanding Neuro-Fuzzy on a class of multinomial malware detection problems. 684-691 - Jyun-Guo Wang, Shen-Chuan Tai, Chin-Ling Lee, Cheng-Jian Lin, Tsung-Hung Lin:
Using a hybrid of fuzzy theory and neural network filter for image dehazing applications. 692-697 - Victor Oliveira Antonino, Aluízio F. R. Araújo:
Local adaptive receptive field dimension selective self-organizing map for multi-view clustering. 698-705 - Leandro J. Moreira, Leandro Augusto da Silva:
Data classification combining Self-Organizing Maps and Informative Nearest Neighbor. 706-713 - M. Elena Antonio-Toledo, Edgar N. Sánchez, Alma Y. Alanis:
Robust neural decentralized control for a quadrotor UAV. 714-719 - Yunchang He, Jian Xu, Bo Yuan:
Community structure analysis using label propagation and flow-based ensemble learning. 720-726 - Gabriel Trierweiler Ribeiro, Marcos Cesar Gritti, Helon Vicente Hultmann Ayala, Viviana Cocco Mariani, Leandro dos Santos Coelho:
Short-term load forecasting using wavenet ensemble approaches. 727-734 - Migel D. Tissera, Mark D. McDonnell:
Enhancing deep extreme learning machines by error backpropagation. 735-739 - Rodolfo Carneiro Cavalcante, Leandro L. Minku, Adriano L. I. Oliveira:
FEDD: Feature Extraction for Explicit Concept Drift Detection in time series. 740-747 - Lydia Fischer, Barbara Hammer, Heiko Wersing:
Online metric learning for an adaptation to confidence drift. 748-755 - Cesare Alippi, Stavros Ntalampiras, Manuel Roveri:
Online model-free sensor fault identification and dictionary learning in Cyber-Physical Systems. 756-762 - Haider Raza, Hubert Cecotti, Girijesh Prasad:
A combination of transductive and inductive learning for handling non-stationarities in motor imagery classification. 763-770 - Rashid Bakirov, Bogdan Gabrys, Damien Fay:
Augmenting adaptation with retrospective model correction for non-stationary regression problems. 771-779 - Kylie Chen, Yun Sing Koh, Patricia Riddle:
Proactive drift detection: Predicting concept drifts in data streams using probabilistic networks. 780-787 - Priscila Lima Rocha, Washington Luis Santos Silva:
Intelligent system of speech recognition using Neural Networks based on DCT parametric models of low order. 788-795 - Renan Gomes Vieira, Cláudio M. S. Medeiros, Elias Teodoro Silva Jr.:
Classification and sensitivity analysis to detect fault in induction motors using an MLP network. 796-802 - Ryotaro Kamimura:
Repeated potentiality assimilation: Simplifying learning procedures by positive, independent and indirect operation for improving generalization and interpretation. 803-810 - Son Nguyen, Kanishka Tyagi, Parastoo Kheirkhah, Michael T. Manry:
Partially affine invariant back propagation. 811-818 - Lauraine Tiogning Kueti, Norbert Tsopzé, Cezar Mbiethieu, Engelbert Mephu Nguifo, Laure Pauline Fotso:
Boolean factors based Artificial Neural Network. 819-825 - N. Lotfi, Ehsan Lotfi, R. Mirzaei, Abbas Khosravi, Saeid Nahavandi:
Nonlinear programming problem solving based on winner take all emotional neural network for tensegrity structure design. 826-831 - Man Lan, GuoShun Wu, Chunyun Xiao, Yuanbin Wu, Ju Wu:
Building mutually beneficial relationships between question retrieval and answer ranking to improve performance of community question answering. 832-839 - Xun Wang, Chang-Dong Wang, Jian-Huang Lai:
Modularity optimization by Global-Local Search. 840-846 - Zhi-Lin Zhao, Chang-Dong Wang, Yuan-Yu Wan, Jian-Huang Lai, Dong Huang:
FTMF: Recommendation in social network with Feature Transfer and Probabilistic Matrix Factorization. 847-854 - Suncong Zheng, Hongyun Bao, Jiaming Xu, Yuexing Hao, Zhenyu Qi, Hongwei Hao:
A Bidirectional Hierarchical Skip-Gram model for text topic embedding. 855-862