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                             2057 gevonden resultaten
nr titel auteur tijdschrift jaar jaarg. afl. pagina('s) type
1 A bag-of-paths framework for network data analysis Françoisse, Kevin
2017
29-30 C p. 90-111
22 p.
artikel
2 A balanced motor primitive framework can simultaneously explain motor learning in unimanual and bimanual movements Takiyama, Ken
2017
29-30 C p. 80-89
10 p.
artikel
3 A balanced neural tree for pattern classification Micheloni, Christian
2012
29-30 C p. 81-90
10 p.
artikel
4 A Bayesian inverse solution using independent component analysis Puuronen, Jouni
2014
29-30 C p. 47-59
13 p.
artikel
5 A bioinspired angular velocity decoding neural network model for visually guided flights Wang, Huatian

29-30 C p. 180-193
artikel
6 A bio-inspired kinematic controller for obstacle avoidance during reaching tasks with real robots Srinivasa, Narayan
2012
29-30 C p. 54-69
16 p.
artikel
7 A bio-inspired stimulator to desynchronize epileptic cortical population models: A digital implementation framework Piri, Mohsen
2015
29-30 C p. 74-83
10 p.
artikel
8 A biologically-based computational model of visual cortex that overcomes the X-junction illusion Eskikand, Parvin Zarei
2018
29-30 C p. 10-20
artikel
9 A biologically plausible supervised learning method for spiking neural networks using the symmetric STDP rule Hao, Yunzhe

29-30 C p. 387-395
artikel
10 A biological mechanism for Bayesian feature selection: Weight decay and raising the LASSO Connor, Patrick
2015
29-30 C p. 121-130
10 p.
artikel
11 A border-ownership model based on computational electromagnetism Zainal, Zaem Arif
2018
29-30 C p. 114-122
artikel
12 A boundedness result for the direct heuristic dynamic programming Liu, Feng
2012
29-30 C p. 229-235
7 p.
artikel
13 A brain-inspired network architecture for cost-efficient object recognition in shallow hierarchical neural networks Park, Youngjin

29-30 C p. 76-85
artikel
14 A broad class of discrete-time hypercomplex-valued Hopfield neural networks de Castro, Fidelis Zanetti

29-30 C p. 54-67
artikel
15 Abstractive summarization of long texts by representing multiple compositionalities with temporal hierarchical pointer generator network Moirangthem, Dennis Singh

29-30 C p. 1-11
artikel
16 A causal discovery algorithm based on the prior selection of leaf nodes Zeng, Yan

29-30 C p. 130-145
artikel
17 Accelerated low-rank representation for subspace clustering and semi-supervised classification on large-scale data Fan, Jicong
2018
29-30 C p. 39-48
artikel
18 Accelerating deep learning with memcomputing Manukian, Haik
2019
29-30 C p. 1-7
artikel
19 Accelerating deep neural network training with inconsistent stochastic gradient descent Wang, Linnan
2017
29-30 C p. 219-229
artikel
20 Accuracy of latent-variable estimation in Bayesian semi-supervised learning Yamazaki, Keisuke
2015
29-30 C p. 1-10
10 p.
artikel
21 Accurate and efficient sequential ensemble learning for highly imbalanced multi-class data Vong, Chi-Man

29-30 C p. 268-278
artikel
22 Accurate on-line ν -support vector learning Gu, Bin
2012
29-30 C p. 51-59
9 p.
artikel
23 A classification-based approach to semi-supervised clustering with pairwise constraints Śmieja, Marek

29-30 C p. 193-203
artikel
24 A classification of user-generated content into consumer decision journey stages Vázquez, Silvia
2014
29-30 C p. 68-81
14 p.
artikel
25 A class of finite-time dual neural networks for solving quadratic programming problems and its k -winners-take-all application Li, Shuai
2013
29-30 C p. 27-39
13 p.
artikel
26 A collaborative neurodynamic approach to global and combinatorial optimization Che, Hangjun
2019
29-30 C p. 15-27
artikel
27 A collective neurodynamic optimization approach to bound-constrained nonconvex optimization Yan, Zheng
2014
29-30 C p. 20-29
10 p.
artikel
28 A comment on “ α -stability and α -synchronization for fractional-order neural networks” Kexue, Li
2013
29-30 C p. 207-208
2 p.
artikel
29 A common framework of signal processing in the induction of cerebellar LTD and cortical STDP Honda, Minoru
2013
29-30 C p. 114-124
11 p.
artikel
30 A compact network learning model for distribution regression Kou, Connie Khor Li
2019
29-30 C p. 199-212
artikel
31 A comparative analysis of support vector machines and extreme learning machines Liu, Xueyi
2012
29-30 C p. 58-66
9 p.
artikel
32 A comparison of deep networks with ReLU activation function and linear spline-type methods Eckle, Konstantin
2019
29-30 C p. 232-242
artikel
33 A Competitive Layer Model for Cellular Neural Networks Zhou, Wei
2012
29-30 C p. 216-227
12 p.
artikel
34 A complementary learning systems approach to temporal difference learning Blakeman, Sam

29-30 C p. 218-230
artikel
35 A complex-valued neural dynamical optimization approach and its stability analysis Zhang, Songchuan
2015
29-30 C p. 59-67
9 p.
artikel
36 A comprehensive study of class incremental learning algorithms for visual tasks Belouadah, Eden

29-30 C p. 38-54
artikel
37 A computational knowledge-based model for emulating human performance in the Iowa Gambling Task Iglesias, A.
2012
29-30 C p. 168-180
13 p.
artikel
38 A computational model of conditioning inspired by Drosophila olfactory system Faghihi, Faramarz
2017
29-30 C p. 96-108
13 p.
artikel
39 A computational model of use-dependent motor recovery following a stroke: Optimizing corticospinal activations via reinforcement learning can explain residual capacity and other strength recovery dynamics Reinkensmeyer, David J.
2012
29-30 C p. 60-69
10 p.
artikel
40 A computer vision system for rapid search inspired by surface-based attention mechanisms from human perception Mohr, Johannes
2014
29-30 C p. 182-193
12 p.
artikel
41 A conditional Triplet loss for few-shot learning and its application to image co-segmentation Shi, Daming

29-30 C p. 54-62
artikel
42 A consensus algorithm based on collective neurodynamic system for distributed optimization with linear and bound constraints Zhao, Yan

29-30 C p. 144-151
artikel
43 A convolutional recursive modified Self Organizing Map for handwritten digits recognition Mohebi, Ehsan
2014
29-30 C p. 104-118
15 p.
artikel
44 A coordinate descent margin based-twin support vector machine for classification Shao, Yuan-Hai
2012
29-30 C p. 114-121
8 p.
artikel
45 A counterexample regarding “New study on neural networks: The essential order of approximation” Goebbels, Steffen

29-30 C p. 234-235
artikel
46 Active learning for classifying data streams with unknown number of classes Mohamad, Saad
2018
29-30 C p. 1-15
artikel
47 Active learning for noisy oracle via density power divergence Sogawa, Yasuhiro
2013
29-30 C p. 133-143
11 p.
artikel
48 Active learning for semi-supervised clustering based on locally linear propagation reconstruction Chang, Chin-Chun
2015
29-30 C p. 170-184
15 p.
artikel
49 AdaEn-Net: An ensemble of adaptive 2D–3D Fully Convolutional Networks for medical image segmentation Baldeon Calisto, Maria

29-30 C p. 76-94
artikel
50 Adaptive balancing of exploration and exploitation around the edge of chaos in internal-chaos-based learning Matsuki, Toshitaka

29-30 C p. 19-29
artikel
51 Adaptive Bayesian inference system for recognition of walking activities and prediction of gait events using wearable sensors Martinez-Hernandez, Uriel
2018
29-30 C p. 107-119
artikel
52 Adaptive complex-valued stepsize based fast learning of complex-valued neural networks Zhang, Yongliang

29-30 C p. 233-242
artikel
53 Adaptive coupling of inferior olive neurons in cerebellar learning Tokuda, Isao T.
2013
29-30 C p. 42-50
9 p.
artikel
54 Adaptive critic designs for optimal control of uncertain nonlinear systems with unmatched interconnections Yang, Xiong

29-30 C p. 142-153
artikel
55 Adaptive detrending to accelerate convolutional gated recurrent unit training for contextual video recognition Jung, Minju

29-30 C p. 356-370
artikel
56 Adaptive exponential synchronization of complex-valued Cohen–Grossberg neural networks with known and unknown parameters Hu, Jin
2017
29-30 C p. 90-101
12 p.
artikel
57 Adaptive fault-tolerant consensus for a class of leader-following systems using neural network learning strategy Jin, Xiaozheng

29-30 C p. 474-483
artikel
58 Adaptive filters and internal models: Multilevel description of cerebellar function Porrill, John
2013
29-30 C p. 134-149
16 p.
artikel
59 Adaptive intermittent control: A computational model explaining motor intermittency observed in human behavior Sakaguchi, Yutaka
2015
29-30 C p. 92-109
18 p.
artikel
60 Adaptive latent similarity learning for multi-view clustering Xie, Deyan

29-30 C p. 409-418
artikel
61 Adaptive learning rate of SpikeProp based on weight convergence analysis Shrestha, Sumit Bam
2015
29-30 C p. 185-198
14 p.
artikel
62 Adaptive low-rank subspace learning with online optimization for robust visual tracking Liu, Risheng
2017
29-30 C p. 90-104
15 p.
artikel
63 Adaptive Markov chain Monte Carlo for auxiliary variable method and its application to parallel tempering Araki, Takamitsu
2013
29-30 C p. 33-40
8 p.
artikel
64 Adaptive near-optimal neuro controller for continuous-time nonaffine nonlinear systems with constrained input Esfandiari, Kasra
2017
29-30 C p. 195-204
artikel
65 Adaptive neural output-feedback control for nonstrict-feedback time-delay fractional-order systems with output constraints and actuator nonlinearities Zouari, Farouk

29-30 C p. 256-276
artikel
66 Adaptive neural tree exploiting expert nodes to classify high-dimensional data Abpeikar, Shadi

29-30 C p. 20-38
artikel
67 Adaptive neuro-heuristic hybrid model for fruit peel defects detection Woźniak, Marcin
2018
29-30 C p. 16-33
artikel
68 Adaptive Neuromorphic Architecture (ANA) Wang, Frank Zhigang
2013
29-30 C p. 111-116
6 p.
artikel
69 Adaptive non-negative projective semi-supervised learning for inductive classification Zhang, Zhao

29-30 C p. 128-145
artikel
70 Adaptive object recognition model using incremental feature representation and hierarchical classification Jeong, Sungmoon
2012
29-30 C p. 130-140
11 p.
artikel
71 Adaptive PID control based on orthogonal endocrine neural networks Milovanović, Miroslav B.
2016
29-30 C p. 80-90
11 p.
artikel
72 Adaptive Resonance Theory in the time scales calculus Seiffertt, John

29-30 C p. 32-39
artikel
73 Adaptive robust principal component analysis Liu, Yang
2019
29-30 C p. 85-92
artikel
74 Adaptive tracking synchronization for coupled reaction–diffusion neural networks with parameter mismatches Zhang, Hao

29-30 C p. 146-157
artikel
75 Adaptive training of cortical feature maps for a robot sensorimotor controller Adams, Samantha V.
2013
29-30 C p. 6-21
16 p.
artikel
76 Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network Zhang, Kaishuo

29-30 C p. 1-10
artikel
77 ADA-Tucker: Compressing deep neural networks via adaptive dimension adjustment tucker decomposition Zhong, Zhisheng
2019
29-30 C p. 104-115
artikel
78 A 3D deep supervised densely network for small organs of human temporal bone segmentation in CT images Li, Xiaoguang

29-30 C p. 75-85
artikel
79 Addiction beyond pharmacological effects: The role of environment complexity and bounded rationality Ognibene, Dimitri
2019
29-30 C p. 269-278
artikel
80 A decentralized training algorithm for Echo State Networks in distributed big data applications Scardapane, Simone
2016
29-30 C p. 65-74
10 p.
artikel
81 A deep belief network with PLSR for nonlinear system modeling Qiao, Junfei
2018
29-30 C p. 68-79
artikel
82 A deep CNN approach to decode motor preparation of upper limbs from time–frequency maps of EEG signals at source level Mammone, Nadia

29-30 C p. 357-372
artikel
83 A deep learning framework for causal shape transformation Lore, Kin Gwn
2018
29-30 C p. 305-317
artikel
84 A density-based competitive data stream clustering network with self-adaptive distance metric Xu, Baile
2019
29-30 C p. 141-158
artikel
85 A deterministic annealing algorithm for approximating a solution of the linearly constrained nonconvex quadratic minimization problem Dang, Chuangyin
2013
29-30 C p. 1-11
11 p.
artikel
86 A digital implementation of neuron–astrocyte interaction for neuromorphic applications Nazari, Soheila
2015
29-30 C p. 79-90
12 p.
artikel
87 A direct approach for function approximation on data defined manifolds Mhaskar, H.N.

29-30 C p. 253-268
artikel
88 A distributed semi-supervised learning algorithm based on manifold regularization using wavelet neural network Xie, Jin
2019
29-30 C p. 300-309
artikel
89 A divide-and-combine method for large scale nonparallel support vector machines Tian, Yingjie
2016
29-30 C p. 12-21
10 p.
artikel
90 Admiring the Great Mountain: A Celebration Special Issue in Honor of Stephen Grossberg’s 80th Birthday Wunsch II, Donald C.

29-30 C p. 1-4
artikel
91 A Dual-Dimer method for training physics-constrained neural networks with minimax architecture Liu, Dehao

29-30 C p. 112-125
artikel
92 Advanced deep learning methods for biomedical information analysis: An editorial Zhang, Yu-Dong

29-30 C p. 101-102
artikel
93 Advances in Cognitive Engineering Using Neural Networks Lee, Minho
2017
29-30 C p. 1-2
artikel
94 Advancing interconnect density for spiking neural network hardware implementations using traffic-aware adaptive network-on-chip routers Carrillo, Snaider
2012
29-30 C p. 42-57
16 p.
artikel
95 Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks Liu, Faqiang

29-30 C p. 148-156
artikel
96 A dynamical pattern recognition model of gamma activity in auditory cortex Zavaglia, M.
2012
29-30 C p. 1-14
14 p.
artikel
97 A fast and adaptive automated disease diagnosis method with an innovative neural network model Alkım, Erdem
2012
29-30 C p. 88-96
9 p.
artikel
98 A fast conformal predictive system with regularized extreme learning machine Wang, Di

29-30 C p. 347-361
artikel
99 A Fast Reduced Kernel Extreme Learning Machine Deng, Wan-Yu
2016
29-30 C p. 29-38
10 p.
artikel
100 A Fast SVD-Hidden-nodes based Extreme Learning Machine for Large-Scale Data Analytics Deng, Wan-Yu
2016
29-30 C p. 14-28
15 p.
artikel
101 Affective neural networks and cognitive learning systems for big data analysis Hussain, Amir
2014
29-30 C p. 1-3
3 p.
artikel
102 Affective topic model for social emotion detection Rao, Yanghui
2014
29-30 C p. 29-37
9 p.
artikel
103 Affect recognition from facial movements and body gestures by hierarchical deep spatio-temporal features and fusion strategy Sun, Bo

29-30 C p. 36-51
artikel
104 Affinity and class probability-based fuzzy support vector machine for imbalanced data sets Tao, Xinmin

29-30 C p. 289-307
artikel
105 A forecast-based STDP rule suitable for neuromorphic implementation Davies, S.
2012
29-30 C p. 3-14
12 p.
artikel
106 A framework for parallel and distributed training of neural networks Scardapane, Simone
2017
29-30 C p. 42-54
13 p.
artikel
107 A frequency-domain approach to improve ANNs generalization quality via proper initialization Chaari, Majdi
2018
29-30 C p. 26-39
artikel
108 A fully convolutional two-stream fusion network for interactive image segmentation Hu, Yang
2019
29-30 C p. 31-42
artikel
109 A generalized analog implementation of piecewise linear neuron models using CCII building blocks Soleimani, Hamid
2014
29-30 C p. 26-38
13 p.
artikel
110 A generalized LSTM-like training algorithm for second-order recurrent neural networks Monner, Derek
2012
29-30 C p. 70-83
14 p.
artikel
111 A generalized neural network for distributed nonsmooth optimization with inequality constraint Jia, Wenwen
2019
29-30 C p. 46-56
artikel
112 A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction Zhao, Mingbo
2014
29-30 C p. 83-97
15 p.
artikel
113 A gentle introduction to deep learning for graphs Bacciu, Davide

29-30 C p. 203-221
artikel
114 A global coupling index of multivariate neural series with application to the evaluation of mild cognitive impairment Wen, Dong
2014
29-30 C p. 1-9
9 p.
artikel
115 A GPU-accelerated cortical neural network model for visually guided robot navigation Beyeler, Michael
2015
29-30 C p. 75-87
13 p.
artikel
116 A graph-based N-body approximation with application to stochastic neighbor embedding Parviainen, Eli
2016
29-30 C p. 1-11
11 p.
artikel
117 A growing and pruning sequential learning algorithm of hyper basis function neural network for function approximation Vuković, Najdan
2013
29-30 C p. 210-226
17 p.
artikel
118 A human-in-the-loop deep learning paradigm for synergic visual evaluation in children Zhang, Kai

29-30 C p. 163-173
artikel
119 A Hypergraph and Arithmetic Residue-based Probabilistic Neural Network for classification in Intrusion Detection Systems Raman, M.R. Gauthama
2017
29-30 C p. 89-97
artikel
120 A hypothetical neural network model for generation of human precision grip Moritani, Yuki
2019
29-30 C p. 213-224
artikel
121 A kernel-based Perceptron with dynamic memory He, Wenwu
2012
29-30 C p. 106-113
8 p.
artikel
122 A learning approach with incomplete pixel-level labels for deep neural networks Nguyen, Nhu-Van

29-30 C p. 111-125
artikel
123 A life-long learning vector quantization approach for interactive learning of multiple categories Kirstein, Stephan
2012
29-30 C p. 90-105
16 p.
artikel
124 A limit-cycle self-organizing map architecture for stable arm control Huang, Di-Wei
2017
29-30 C p. 165-181
17 p.
artikel
125 A linear functional strategy for regularized ranking Kriukova, Galyna
2016
29-30 C p. 26-35
10 p.
artikel
126 A linear recurrent kernel online learning algorithm with sparse updates Fan, Haijin
2014
29-30 C p. 142-153
12 p.
artikel
127 Almost periodic solutions for a memristor-based neural networks with leakage, time-varying and distributed delays Jiang, Ping
2015
29-30 C p. 34-45
12 p.
artikel
128 A local Echo State Property through the largest Lyapunov exponent Wainrib, Gilles
2016
29-30 C p. 39-45
7 p.
artikel
129 A local Vapnik–Chervonenkis complexity Oneto, Luca
2016
29-30 C p. 62-75
14 p.
artikel
130 A loop-based neural architecture for structured behavior encoding and decoding Gisiger, Thomas
2018
29-30 C p. 318-336
artikel
131 AMD-GAN: Attention encoder and multi-branch structure based generative adversarial networks for fundus disease detection from scanning laser ophthalmoscopy images Xie, Hai

29-30 C p. 477-490
artikel
132 A meta-cognitive learning algorithm for a Fully Complex-valued Relaxation Network Savitha, R.
2012
29-30 C p. 209-218
10 p.
artikel
133 A meta-learning approach to the regularized learning—Case study: Blood glucose prediction Naumova, V.
2012
29-30 C p. 181-193
13 p.
artikel
134 A mode-dependent approach to state estimation of recurrent neural networks with Markovian jumping parameters and mixed delays Huang, He
2013
29-30 C p. 50-61
12 p.
artikel
135 A model for navigation in unknown environments based on a reservoir of hippocampal sequences Leibold, Christian

29-30 C p. 328-342
artikel
136 A model for the receptive field of retinal ganglion cells Cho, Myoung Won
2014
29-30 C p. 51-58
8 p.
artikel
137 A model of analogue K -winners-take-all neural circuit Tymoshchuk, Pavlo V.
2013
29-30 C p. 44-61
18 p.
artikel
138 A model of operant learning based on chaotically varying synaptic strength Wei, Tianqi

29-30 C p. 114-127
artikel
139 A model of task-specific focal dystonia Altenmüller, Eckart
2013
29-30 C p. 25-31
7 p.
artikel
140 A modular architecture for transparent computation in recurrent neural networks Carmantini, Giovanni S.
2017
29-30 C p. 85-105
21 p.
artikel
141 A modular neural model of motor synergies Byadarhaly, Kiran V.
2012
29-30 C p. 96-108
13 p.
artikel
142 A morphological perceptron with gradient-based learning for Brazilian stock market forecasting de A. Araújo, Ricardo
2012
29-30 C p. 61-81
21 p.
artikel
143 A multi-label, semi-supervised classification approach applied to personality prediction in social media Lima, Ana Carolina E.S.
2014
29-30 C p. 122-130
9 p.
artikel
144 A multimodal convolutional neuro-fuzzy network for emotion understanding of movie clips Nguyen, Tuan-Linh
2019
29-30 C p. 208-219
artikel
145 A multivariate additive noise model for complete causal discovery Parida, Pramod Kumar
2018
29-30 C p. 44-54
artikel
146 A multivariate extension of mutual information for growing neural networks Ball, Kenneth R.
2017
29-30 C p. 29-43
artikel
147 An adaptive deep Q-learning strategy for handwritten digit recognition Qiao, Junfei
2018
29-30 C p. 61-71
artikel
148 An adaptive neuromorphic model of ocular dominance map using floating gate ‘synapse’ Markan, C.M.
2013
29-30 C p. 117-133
17 p.
artikel
149 An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances Fairbank, Michael
2014
29-30 C p. 74-86
13 p.
artikel
150 Analog neuron hierarchy Šíma, Jiří

29-30 C p. 199-215
artikel
151 Analysis and improvement of policy gradient estimation Zhao, Tingting
2012
29-30 C p. 118-129
12 p.
artikel
152 Analysis of connectivity in NeuCube spiking neural network models trained on EEG data for the understanding of functional changes in the brain: A case study on opiate dependence treatment Capecci, Elisa
2015
29-30 C p. 62-77
16 p.
artikel
153 Analysis of convergence performance of neural networks ranking algorithm Zhang, Yongquan
2012
29-30 C p. 65-71
7 p.
artikel
154 Analysis of global O ( t − α ) stability and global asymptotical periodicity for a class of fractional-order complex-valued neural networks with time varying delays Rakkiyappan, R.
2016
29-30 C p. 51-69
19 p.
artikel
155 Analysis of programming properties and the row–column generation method for 1-norm support vector machines Zhang, Li
2013
29-30 C p. 32-43
12 p.
artikel
156 Analysis of the IJCNN 2011 UTL challenge Guyon, Isabelle
2012
29-30 C p. 174-178
5 p.
artikel
157 Analysis of the transferability and robustness of GANs evolved for Pareto set approximations Garciarena, Unai

29-30 C p. 281-296
artikel
158 An analog implementation of biologically plausible neurons using CCII building blocks Sharifipoor, Ozra
2012
29-30 C p. 129-135
7 p.
artikel
159 An analysis of training and generalization errors in shallow and deep networks Mhaskar, H.N.

29-30 C p. 229-241
artikel
160 An approximation algorithm for graph partitioning via deterministic annealing neural network Wu, Zhengtian
2019
29-30 C p. 191-200
artikel
161 An Arcak-type state estimation design for time-delayed static neural networks with leakage term based on unified criteria Manivannan, R.

29-30 C p. 110-126
artikel
162 An EEG channel selection method for motor imagery based brain–computer interface and neurofeedback using Granger causality Varsehi, Hesam

29-30 C p. 193-206
artikel
163 An efficient matrix bi-factorization alternative optimization method for low-rank matrix recovery and completion Liu, Yuanyuan
2013
29-30 C p. 8-18
11 p.
artikel
164 An efficient sampling algorithm with adaptations for Bayesian variable selection Araki, Takamitsu
2015
29-30 C p. 22-31
10 p.
artikel
165 An embodied biologically constrained model of foraging: from classical and operant conditioning to adaptive real-world behavior in DAC-X Maffei, Giovanni
2015
29-30 C p. 88-108
21 p.
artikel
166 An empirical model of activity in macaque inferior temporal cortex Khan, Salman
2017
29-30 C p. 8-21
14 p.
artikel
167 An end to end Deep Neural Network for iris segmentation in unconstrained scenarios Bazrafkan, Shabab

29-30 C p. 79-95
artikel
168 An end-to-end exemplar association for unsupervised person Re-identification Wu, Jinlin

29-30 C p. 43-54
artikel
169 An enhanced approach to the robust discriminant analysis and class sparsity based embedding Khoder, A.

29-30 C p. 11-16
artikel
170 An ensemble of dynamic neural network identifiers for fault detection and isolation of gas turbine engines Amozegar, M.
2016
29-30 C p. 106-121
16 p.
artikel
171 A neural model of sequential movement planning and control of eye movements: Item-Order-Rank working memory and saccade selection by the supplementary eye fields Silver, Matthew R.
2012
29-30 C p. 29-58
30 p.
artikel
172 A neural model of the frontal eye fields with reward-based learning Ye, Weijie
2016
29-30 C p. 39-51
13 p.
artikel
173 A neural network algorithm for semi-supervised node label learning from unbalanced data Frasca, Marco
2013
29-30 C p. 84-98
15 p.
artikel
174 A neural network architecture for learning word–referent associations in multiple contexts Bassani, Hansenclever F.
2019
29-30 C p. 249-267
artikel
175 A neural network-evolutionary computational framework for remaining useful life estimation of mechanical systems Laredo, David
2019
29-30 C p. 178-187
artikel
176 A neural network for learning the meaning of objects and words from a featural representation Ursino, Mauro
2015
29-30 C p. 234-253
20 p.
artikel
177 A neurodynamic approach to convex optimization problems with general constraint Qin, Sitian
2016
29-30 C p. 113-124
12 p.
artikel
178 A neurodynamic approach to nonlinear optimization problems with affine equality and convex inequality constraints Liu, Na
2019
29-30 C p. 147-158
artikel
179 A neurodynamic approach to nonsmooth constrained pseudoconvex optimization problem Xu, Chen

29-30 C p. 180-192
artikel
180 A neurodynamic model of the interaction between color perception and color memory Marić, Mateja

29-30 C p. 222-248
artikel
181 A neurodynamic optimization approach for complex-variables programming problem Liu, Shuxin

29-30 C p. 280-287
artikel
182 A neurodynamic optimization approach to supervised feature selection via fractional programming Wang, Yadi

29-30 C p. 194-206
artikel
183 A neuromorphic VLSI design for spike timing and rate based synaptic plasticity Rahimi Azghadi, Mostafa
2013
29-30 C p. 70-82
13 p.
artikel
184 An evolutionary morphological approach for software development cost estimation Araújo, Ricardo de A.
2012
29-30 C p. 285-291
7 p.
artikel
185 A new approach for global controllability of higher order Boolean control network Chen, Hao
2013
29-30 C p. 12-17
6 p.
artikel
186 A new approach to a maximum a posteriori-based kernel classification method Nopriadi,
2012
29-30 C p. 247-256
10 p.
artikel
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2019
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artikel
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2017
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artikel
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2014
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2016
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artikel
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artikel
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2015
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artikel
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2013
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artikel
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artikel
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artikel
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artikel
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artikel
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artikel
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29-30 C p. 139-147
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artikel
612 Deep learning and deep knowledge representation in Spiking Neural Networks for Brain-Computer Interfaces Kumarasinghe, Kaushalya

29-30 C p. 169-185
artikel
613 Deep learning for symbols detection and classification in engineering drawings Elyan, Eyad

29-30 C p. 91-102
artikel
614 Deep learning from label proportions with labeled samples Shi, Yong

29-30 C p. 73-81
artikel
615 Deep learning in neural networks: An overview Schmidhuber, Jürgen
2015
29-30 C p. 85-117
33 p.
artikel
616 Deep learning in spiking neural networks Tavanaei, Amirhossein
2019
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artikel
617 Deep learning of support vector machines with class probability output networks Kim, Sangwook
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29-30 C p. 251-275
artikel
619 Deeply-learnt damped least-squares (DL-DLS) method for inverse kinematics of snake-like robots Omisore, Olatunji Mumini
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620 Deep Multi-Critic Network for accelerating Policy Learning in multi-agent environments Hook, Joosep

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artikel
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artikel
622 Deep neural-kernel blocks Mehrkanoon, Siamak
2019
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artikel
623 Deep neural mapping support vector machines Li, Yujian
2017
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artikel
624 Deep neural network and data augmentation methodology for off-axis iris segmentation in wearable headsets Varkarakis, Viktor

29-30 C p. 101-121
artikel
625 Deep neural network concepts for background subtraction:A systematic review and comparative evaluation Bouwmans, Thierry
2019
29-30 C p. 8-66
artikel
626 Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods Arcos-García, Álvaro
2018
29-30 C p. 158-165
artikel
627 Deep neural networks for texture classification—A theoretical analysis Basu, Saikat
2018
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artikel
628 Deep neural networks with a set of node-wise varying activation functions Jang, Jinhyeok

29-30 C p. 118-131
artikel
629 Deficient reinforcement learning in medial frontal cortex as a model of dopamine-related motivational deficits in ADHD Silvetti, Massimo
2013
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11 p.
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630 Delay-dependent criterion for asymptotic stability of a class of fractional-order memristive neural networks with time-varying delays Chen, Liping
2019
29-30 C p. 289-299
artikel
631 Delay-dependent dynamical analysis of complex-valued memristive neural networks: Continuous-time and discrete-time cases Wang, Jinling
2018
29-30 C p. 33-46
artikel
632 Delay-dependent stability analysis of the QUAD vector field fractional order quaternion-valued memristive uncertain neutral type leaky integrator echo state neural networks Pahnehkolaei, Seyed Mehdi Abedi
2019
29-30 C p. 307-327
artikel
633 Delay-distribution-dependent H ∞ state estimation for delayed neural networks with ( x , v ) -dependent noises and fading channels Sheng, Li
2016
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29-30 C p. 143-151
artikel
635 Delayed state-feedback control for stabilization of neural networks with leakage delay Zhu, Haitao

29-30 C p. 249-255
artikel
636 Delay for the capacity-simplicity dilemma in associative memory attractor networks Zou, Shaofen
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637 Dendrite P systems Peng, Hong

29-30 C p. 110-120
artikel
638 Dendritic calcium signaling in cerebellar Purkinje cell Kitamura, Kazuo
2013
29-30 C p. 11-17
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639 Denoising Autoencoder Self-Organizing Map (DASOM) Ferles, Christos

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artikel
640 Depth of treatment sensitive noise resistant dynamic artificial neural networks model of recall in people with prosopagnosia Morissette, Laurence
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641 Depth with nonlinearity creates no bad local minima in ResNets Kawaguchi, Kenji
2019
29-30 C p. 167-174
artikel
642 Designing a deep brain stimulator to suppress pathological neuronal synchrony Montaseri, Ghazal
2015
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643 Designing a stable feedback control system for blind image deconvolution Cheng, Shichao
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644 Design of deep echo state networks Gallicchio, Claudio

29-30 C p. 33-47
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645 Design of double fuzzy clustering-driven context neural networks Kim, Eun-Hu
2018
29-30 C p. 1-14
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646 Design of hybrid radial basis function neural networks (HRBFNNs) realized with the aid of hybridization of fuzzy clustering method (FCM) and polynomial neural networks (PNNs) Huang, Wei
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29-30 C p. 166-181
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647 Design of nonlinear optimal control for chaotic synchronization of coupled stochastic neural networks via Hamilton–Jacobi–Bellman equation Liu, Ziqian
2018
29-30 C p. 166-177
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648 Design of silicon brains in the nano-CMOS era: Spiking neurons, learning synapses and neural architecture optimization Cassidy, Andrew S.
2013
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649 Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence Abderrahmane, Nassim

29-30 C p. 366-386
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650 Design, verification and robotic application of a novel recurrent neural network for computing dynamic Sylvester equation Xiao, Lin

29-30 C p. 185-196
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651 Detecting and preventing error propagation via competitive learning Silva, Thiago Christiano
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652 Detecting cells using non-negative matrix factorization on calcium imaging data Maruyama, Ryuichi
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653 Deterministic learning of hybrid Fuzzy Cognitive Maps and network reduction approaches Nápoles, Gonzalo

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654 Developmental metaplasticity in neural circuit codes of firing and structure Baram, Yoram
2017
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655 Development of compositional and contextual communicable congruence in robots by using dynamic neural network models Park, Gibeom
2015
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656 DGCNN: A convolutional neural network over large-scale labeled graphs Phan, Anh Viet

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657 Differential convolutional neural network Sarıgül, M.
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658 Differential-game for resource aware approximate optimal control of large-scale nonlinear systems with multiple players Sahoo, Avimanyu

29-30 C p. 95-108
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659 Dimension independent bounds for general shallow networks Mhaskar, H.N.

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660 Directed EEG neural network analysis by LAPPS (p ≤ 1) Penalized sparse Granger approach Bore, Joyce Chelangat

29-30 C p. 213-222
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661 Directional spike propagation in a recurrent network: Dynamical firewall as anisotropic recurrent inhibition Samura, Toshikazu
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662 Direct Kernel Perceptron (DKP): Ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation Fernández-Delgado, Manuel
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663 Discontinuous Lyapunov approach to state estimation and filtering of jumped systems with sampled-data Liu, Xiaoyang
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664 Discovering space — Grounding spatial topology and metric regularity in a naive agent’s sensorimotor experience Laflaquière, Alban

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665 Discretely-constrained deep network for weakly supervised segmentation Peng, Jizong

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666 Discrete particle swarm optimization for identifying community structures in signed social networks Cai, Qing
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667 Discrete-time online learning control for a class of unknown nonaffine nonlinear systems using reinforcement learning Yang, Xiong
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668 Discriminant subspace learning constrained by locally statistical uncorrelation for face recognition Chen, Yu
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669 Discriminative clustering on manifold for adaptive transductive classification Zhang, Zhao
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670 Discriminative clustering via extreme learning machine Huang, Gao
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671 Discriminative margin-sensitive autoencoder for collective multi-view disease analysis Zhang, Zheng

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672 Discriminative multi-source adaptation multi-feature co-regression for visual classification Tao, Jianwen
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673 Discriminative structure learning of sum–product networks for data stream classification Sun, Zhengya

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artikel
674 Dissipativity and stability analysis of fractional-order complex-valued neural networks with time delay Velmurugan, G.
2017
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675 Distant supervision for neural relation extraction integrated with word attention and property features Qu, Jianfeng
2018
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676 Distant supervision for relation extraction with hierarchical selective attention Zhou, Peng

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677 Distant Supervision Relation Extraction via adaptive dependency-path and additional knowledge graph supervision Shi, Yong

29-30 C p. 42-53
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678 Distinct role of flexible and stable encodings in sequential working memory Lee, Hyeonsu

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679 Distributed dual vigilance fuzzy adaptive resonance theory learns online, retrieves arbitrarily-shaped clusters, and mitigates order dependence Brito da Silva, Leonardo Enzo

29-30 C p. 208-228
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680 Distributed parameter estimation in unreliable sensor networks via broadcast gossip algorithms Wang, Huiwei
2016
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681 Distributed semi-supervised learning algorithm based on extreme learning machine over networks using event-triggered communication scheme Xie, Jin
2019
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682 Distributed semi-supervised support vector machines Scardapane, Simone
2016
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683 Distributed static linear Gaussian models using consensus Belanovic, Pavle
2012
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2018
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685 Distributed zero-sum differential game for multi-agent systems in strict-feedback form with input saturation and output constraint Sun, Jingliang

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686 Disturbance and uncertainty rejection performance for fractional-order complex dynamical networks Selvaraj, P.
2019
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artikel
687 Diversifying customer review rankings Krestel, Ralf
2015
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688 DLPNet: A deep manifold network for feature extraction of hyperspectral imagery Li, Zhengying

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689 DMMAN: A two-stage audio–visual fusion framework for sound separation and event localization Hu, Ruihan

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690 2DPCA with L1-norm for simultaneously robust and sparse modelling Wang, Haixian
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691 Dreaming neural networks: Forgetting spurious memories and reinforcing pure ones Fachechi, Alberto
2019
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artikel
692 Dual-memory neural networks for modeling cognitive activities of humans via wearable sensors Lee, Sang-Woo
2017
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693 Dual-regression model for visual tracking Li, Xin

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694 Dual vigilance fuzzy adaptive resonance theory Brito da Silva, Leonardo Enzo
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695 Dynamical analysis of contrastive divergence learning: Restricted Boltzmann machines with Gaussian visible units Karakida, Ryo
2016
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696 Dynamical behaviors for discontinuous and delayed neural networks in the framework of Filippov differential inclusions Huang, Lihong
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697 Dynamical system based compact deep hybrid network for classification of Parkinson disease related EEG signals Shah, Syed Aamir Ali

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698 Dynamic analysis of periodic solution for high-order discrete-time Cohen–Grossberg neural networks with time delays Sun, Kaiyun
2015
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699 Dynamic and scalable audio classification by collective network of binary classifiers framework: An evolutionary approach Kiranyaz, Serkan
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700 Dynamic behaviors of memristor-based recurrent neural networks with time-varying delays Wu, Ailong
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701 Dynamic behaviors of the FitzHugh–Nagumo neuron model with state-dependent impulsive effects He, Zhilong

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702 Dynamic class imbalance learning for incremental LPSVM Pang, Shaoning
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703 Dynamic event-based state estimation for delayed artificial neural networks with multiplicative noises: A gain-scheduled approach Liu, Shuai

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704 Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition Kasabov, Nikola
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705 Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables Fujii, Keisuke
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706 Dynamic neural network-based robust observers for uncertain nonlinear systems Dinh, H.T.
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707 Dynamic resource allocation during reinforcement learning accounts for ramping and phasic dopamine activity Song, Minryung R.

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artikel
708 Dynamic response and transfer function of social systems: A neuro-inspired model of collective human activity patterns Lymperopoulos, Ilias N.
2017
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709 Dynamics of complex-valued fractional-order neural networks Kaslik, Eva
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710 Dynamics of neural networks over undirected graphs Goles, Eric
2015
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711 DynMat, a network that can learn after learning Lee, Jung Hoon
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712 Early Alzheimer’s disease diagnosis based on EEG spectral images using deep learning Bi, Xiaojun
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713 Echo Memory-Augmented Network for time series classification Ma, Qianli

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714 Echo state networks are universal Grigoryeva, Lyudmila

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715 Echo State Networks for data-driven downhole pressure estimation in gas-lift oil wells Antonelo, Eric A.
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716 Editorial Board 2014
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829 Editorial introduction to the Neural Networks special issue on Deep Learning of Representations Bengio, Yoshua
2015
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830 Editorial — Special Issue on Autonomous Learning Roy, Asim
2013
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831 EEG based multi-class seizure type classification using convolutional neural network and transfer learning Raghu, S.

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832 EEG dipole source localization with information criteria for multiple particle filters Sonoda, Sho

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833 Effective metric learning with co-occurrence embedding for collaborative recommendations Wu, Hao

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834 Effective neural network training with adaptive learning rate based on training loss Takase, Tomoumi
2018
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835 Effect of dilution in asymmetric recurrent neural networks Folli, Viola
2018
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836 Effect of diverse recoding of granule cells on optokinetic response in a cerebellar ring network with synaptic plasticity Kim, Sang-Yoon

29-30 C p. 173-204
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837 Effect of hybrid circle reservoir injected with wavelet-neurons on performance of echo state network Cui, Hongyan
2014
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838 Effect of inhibitory spike-timing-dependent plasticity on fast sparsely synchronized rhythms in a small-world neuronal network Kim, Sang-Yoon

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839 Effect of network architecture on burst and spike synchronization in a scale-free network of bursting neurons Kim, Sang-Yoon
2016
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840 Effects of additional data on Bayesian clustering Yamazaki, Keisuke
2017
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841 Effects of asymmetric coupling and self-coupling on metastable dynamical transient rotating waves in a ring of sigmoidal neurons Horikawa, Yo
2014
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842 Effects of infinite occurrence of hybrid impulses with quasi-synchronization of parameter mismatched neural networks Kumar, Rakesh

29-30 C p. 106-116
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843 Effects of self-coupling and asymmetric output on metastable dynamical transient firing patterns in arrays of neurons with bidirectional inhibitory coupling Horikawa, Yo
2016
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844 Effects of spike sorting error on the Granger causality index Shao, Pei-Chiang
2013
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845 Effects of synaptic connectivity on liquid state machine performance Ju, Han
2013
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846 Efficient architecture for deep neural networks with heterogeneous sensitivity Cho, Hyunjoong

29-30 C p. 95-106
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847 Efficient coding matters in the organization of the early visual system Kong, Qingqun

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848 Efficient construction of sparse radial basis function neural networks using L 1 -regularization Qian, Xusheng
2017
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849 Efficient dynamic graph construction for inductive semi-supervised learning Dornaika, F.
2017
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12 p.
artikel
850 Efficient hardware implementation of the subthalamic nucleus–external globus pallidus oscillation system and its dynamics investigation Yang, Shuangming
2017
29-30 C p. 220-238
19 p.
artikel
851 Efficient inexact proximal gradient algorithms for structured sparsity-inducing norm Gu, Bin
2019
29-30 C p. 352-362
artikel
852 Efficient IntVec: High recognition rate with reduced computational cost Fukushima, Kunihiko
2019
29-30 C p. 323-331
artikel
853 Efficient network architecture search via multiobjective particle swarm optimization based on decomposition Jiang, Jing

29-30 C p. 305-316
artikel
854 Efficient online bootstrapping of sensory representations Gepperth, Alexander
2013
29-30 C p. 39-50
12 p.
artikel
855 Efficient search for informational cores in complex systems: Application to brain networks Kitazono, Jun

29-30 C p. 232-244
artikel
856 Efficient self-organizing multilayer neural network for nonlinear system modeling Han, Hong-Gui
2013
29-30 C p. 22-32
11 p.
artikel
857 Efficient training of interval Neural Networks for imprecise training data Sadeghi, Jonathan
2019
29-30 C p. 338-351
artikel
858 Electrical resistivity imaging inversion: An ISFLA trained kernel principal component wavelet neural network approach Jiang, Feibo
2018
29-30 C p. 114-123
artikel
859 Elimination of spiral waves in a locally connected chaotic neural network by a dynamic phase space constraint Li, Yang
2017
29-30 C p. 9-21
13 p.
artikel
860 ELM embedded discriminative dictionary learning for image classification Zeng, Yijie

29-30 C p. 331-342
artikel
861 Embedding and approximation theorems for echo state networks Hart, Allen

29-30 C p. 234-247
artikel
862 Embedding topological features into convolutional neural network salient object detection Zhou, Lecheng

29-30 C p. 308-318
artikel
863 Emergence of low noise frustrated states in E/I balanced neural networks Recio, I.
2016
29-30 C p. 91-101
11 p.
artikel
864 Emergence of ultrafast sparsely synchronized rhythms and their responses to external stimuli in an inhomogeneous small-world complex neuronal network Kim, Sang-Yoon
2017
29-30 C p. 57-75
artikel
865 Emergent neural turing machine and its visual navigation Zheng, Zejia
2019
29-30 C p. 116-130
artikel
866 Emotional EEG classification using connectivity features and convolutional neural networks Moon, Seong-Eun

29-30 C p. 96-107
artikel
867 Encoding primitives generation policy learning for robotic arm to overcome catastrophic forgetting in sequential multi-tasks learning Xiong, Fangzhou

29-30 C p. 163-173
artikel
868 End-to-end semantic segmentation of personalized deep brain structures for non-invasive brain stimulation Rashed, Essam A.

29-30 C p. 233-244
artikel
869 Energy-efficient and damage-recovery slithering gait design for a snake-like robot based on reinforcement learning and inverse reinforcement learning Bing, Zhenshan

29-30 C p. 323-333
artikel
870 Engineering neural systems for high-level problem solving Sylvester, Jared
2016
29-30 C p. 37-52
16 p.
artikel
871 Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning Peng, Yong
2015
29-30 C p. 1-17
17 p.
artikel
872 Enhancing images of shale formations by a hybrid stochastic and deep learning algorithm Kamrava, Serveh
2019
29-30 C p. 310-320
artikel
873 Enriched topological learning for cluster detection and visualization Cabanes, Guénaël
2012
29-30 C p. 186-195
10 p.
artikel
874 Ensemble Neural Networks (ENN): A gradient-free stochastic method Chen, Yuntian
2019
29-30 C p. 170-185
artikel
875 Entropy factor for randomness quantification in neuronal data Rajdl, K.
2017
29-30 C p. 57-65
artikel
876 Episodic memory: A hierarchy of spatiotemporal concepts Healy, Michael J.

29-30 C p. 40-57
artikel
877 Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task Zhang, Xiaohan

29-30 C p. 1-10
artikel
878 Equivalence between dropout and data augmentation: A mathematical check Zhao, Dazhi
2019
29-30 C p. 82-89
artikel
879 Erratum to “Comments on the ‘No-Prop’ algorithm” [Neural Netw. 48 (2013) 59–60] Lim, Meng-Hiot
2013
29-30 C p. 205-
1 p.
artikel
880 Error bounds for approximations with deep ReLU networks Yarotsky, Dmitry
2017
29-30 C p. 103-114
12 p.
artikel
881 Error bounds for deep ReLU networks using the Kolmogorov–Arnold superposition theorem Montanelli, Hadrien

29-30 C p. 1-6
artikel
882 Estimates on compressed neural networks regression Zhang, Yongquan
2015
29-30 C p. 10-17
8 p.
artikel
883 Estimating coupling strength between multivariate neural series with multivariate permutation conditional mutual information Wen, Dong
2019
29-30 C p. 159-169
artikel
884 Estimating regional effects of climate change and altered land use on biosphere carbon fluxes using distributed time delay neural networks with Bayesian regularized learning Schmidt, Andres

29-30 C p. 97-113
artikel
885 Estimating the correlation between bursty spike trains and local field potentials Li, Zhaohui
2014
29-30 C p. 63-72
10 p.
artikel
886 Estimation of neural connections from partially observed neural spikes Iwasaki, Taishi

29-30 C p. 172-191
artikel
887 Estimation of neuronal dynamics based on sparse modeling Otsuka, Shinya
2019
29-30 C p. 137-146
artikel
888 Estimation theory and Neural Networks revisited: REKF and RSVSF as optimization techniques for Deep-Learning Ismail, Mahmoud

29-30 C p. 509-526
artikel
889 Evaluating deep learning architectures for Speech Emotion Recognition Fayek, Haytham M.
2017
29-30 C p. 60-68
artikel
890 Evaluating performance of neural codes in model neural communication networks Antonopoulos, Chris G.
2019
29-30 C p. 90-102
artikel
891 Evaluation of extreme learning machine for classification of individual and combined finger movements using electromyography on amputees and non-amputees Anam, Khairul
2017
29-30 C p. 51-68
18 p.
artikel
892 Evaluation of the computational capabilities of a memristive random network (MN3) under the context of reservoir computing Suarez, Laura E.

29-30 C p. 223-236
artikel
893 Event-based 3D reconstruction from neuromorphic retinas Carneiro, João
2013
29-30 C p. 27-38
12 p.
artikel
894 Event-driven H ∞ control with critic learning for nonlinear systems Yang, Xiong

29-30 C p. 30-42
artikel
895 Event-driven implementation of deep spiking convolutional neural networks for supervised classification using the SpiNNaker neuromorphic platform Patiño-Saucedo, Alberto

29-30 C p. 319-328
artikel
896 Event management for large scale event-driven digital hardware spiking neural networks Caron, Louis-Charles
2013
29-30 C p. 83-93
11 p.
artikel
897 Event-triggered asynchronous intermittent communication strategy for synchronization in complex dynamical networks Li, Huaqing
2015
29-30 C p. 1-10
10 p.
artikel
898 Event-triggered H ∞ filter design for delayed neural network with quantization Liu, Jinliang
2016
29-30 C p. 39-48
10 p.
artikel
899 Event-triggered H ∞ filtering for delayed neural networks via sampled-data Arslan, Emel
2017
29-30 C p. 11-21
11 p.
artikel
900 Event-triggered H ∞ state estimation for semi-Markov jumping discrete-time neural networks with quantization Rakkiyappan, R.

29-30 C p. 236-248
artikel
901 Event-triggered impulsive control on quasi-synchronization of memristive neural networks with time-varying delays Zhou, Yufeng
2019
29-30 C p. 55-65
artikel
902 Event-triggered impulsive synchronization of discrete-time coupled neural networks with stochastic perturbations and multiple delays Li, Huiyuan

29-30 C p. 447-460
artikel
903 Event-triggered passivity and synchronization of delayed multiple-weighted coupled reaction–diffusion neural networks with non-identical nodes Lin, Shanrong

29-30 C p. 259-275
artikel
904 Event-triggered synchronization of discrete-time neural networks: A switching approach Ding, Sanbo

29-30 C p. 31-40
artikel
905 Event-triggered synchronization strategy for complex dynamical networks with the Markovian switching topologies Wang, Aijuan
2016
29-30 C p. 52-57
6 p.
artikel
906 Evolving artificial neural networks with feedback Herzog, Sebastian

29-30 C p. 153-162
artikel
907 Evolving granular neural networks from fuzzy data streams Leite, Daniel
2013
29-30 C p. 1-16
16 p.
artikel
908 Evolving neural fields for problems with large input and output spaces Inden, Benjamin
2012
29-30 C p. 24-39
16 p.
artikel
909 Evolving neural networks to follow trajectories of arbitrary complexity Inden, Benjamin
2019
29-30 C p. 224-236
artikel
910 Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications Kasabov, Nikola
2016
29-30 C p. 1-14
14 p.
artikel
911 Evolving Spiking Neural Networks for online learning over drifting data streams Lobo, Jesus L.

29-30 C p. 1-19
artikel
912 Exciting Time for Neural Networks Doya, Kenji
2015
29-30 C p. xv-xvi
nvt p.
artikel
913 Existence and finite-time stability of discrete fractional-order complex-valued neural networks with time delays You, Xingxing

29-30 C p. 248-260
artikel
914 Existence and global exponential stability of periodic solution for high-order discrete-time BAM neural networks Zhang, Ancai
2014
29-30 C p. 98-109
12 p.
artikel
915 Existence and global exponential stability of periodic solution of memristor-based BAM neural networks with time-varying delays Li, Hongfei
2016
29-30 C p. 97-109
13 p.
artikel
916 Expected energy-based restricted Boltzmann machine for classification Elfwing, S.
2015
29-30 C p. 29-38
10 p.
artikel
917 Expedited review process Doya, Kenji
2012
29-30 C p. 1-
1 p.
artikel
918 Exploitation of image statistics with sparse coding in the case of stereo vision Ecke, Gerrit A.

29-30 C p. 158-176
artikel
919 Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification Xi, Dongbo

29-30 C p. 75-83
artikel
920 Exploiting layerwise convexity of rectifier networks with sign constrained weights An, Senjian

29-30 C p. 419-430
artikel
921 Exploiting the gain-modulation mechanism in parieto-motor neurons: Application to visuomotor transformations and embodied simulation Mahé, Sylvain
2015
29-30 C p. 102-111
10 p.
artikel
922 Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning Lobo, Jesus L.

29-30 C p. 118-133
artikel
923 Exploring personalized searches using tag-based user profiles and resource profiles in folksonomy Cai, Yi
2014
29-30 C p. 98-110
13 p.
artikel
924 Exponential and adaptive synchronization of inertial complex-valued neural networks: A non-reduced order and non-separation approach Yu, Juan

29-30 C p. 50-59
artikel
925 Exponential consensus of discrete-time non-linear multi-agent systems via relative state-dependent impulsive protocols Han, Yiyan

29-30 C p. 192-201
artikel
926 Exponential passivity of memristive neural networks with time delays Wu, Ailong
2014
29-30 C p. 11-18
8 p.
artikel
927 Exponential stability of delayed and impulsive cellular neural networks with partially Lipschitz continuous activation functions Song, Xueli
2012
29-30 C p. 80-90
11 p.
artikel
928 Exponential stabilization and synchronization for fuzzy model of memristive neural networks by periodically intermittent control Yang, Shiju
2016
29-30 C p. 162-172
11 p.
artikel
929 Exponential stabilization of delayed recurrent neural networks: A state estimation based approach Huang, He
2013
29-30 C p. 153-157
5 p.
artikel
930 Exponential state estimation for Markovian jumping neural networks with time-varying discrete and distributed delays Zhang, Dan
2012
29-30 C p. 103-111
9 p.
artikel
931 Exponential synchronization for reaction–diffusion networks with mixed delays in terms of p -norm via intermittent driving Hu, Cheng
2012
29-30 C p. 1-11
11 p.
artikel
932 Exponential synchronization of delayed memristor-based chaotic neural networks via periodically intermittent control Zhang, Guodong
2014
29-30 C p. 1-10
10 p.
artikel
933 Exponential synchronization of memristive neural networks with time-varying delays via quantized sliding-mode control Sun, Bo

29-30 C p. 163-169
artikel
934 Exponential synchronization of neural networks with time-varying delays and stochastic impulses Sun, Yifan

29-30 C p. 342-352
artikel
935 Exponential synchronization of semi-Markovian coupled neural networks with mixed delays via tracker information and quantized output controller Wan, Xiaoxiao
2019
29-30 C p. 321-331
artikel
936 Exponential synchronization of stochastic Cohen–Grossberg neural networks with mixed time-varying delays and reaction–diffusion via periodically intermittent control Gan, Qintao
2012
29-30 C p. 12-21
10 p.
artikel
937 Exponential synchronization of stochastic delayed memristive neural networks via a novel hybrid control Yang, Nijing

29-30 C p. 242-250
artikel
938 Exponential synchronization of time-varying delayed complex-valued neural networks under hybrid impulsive controllers Kan, Yu
2019
29-30 C p. 157-163
artikel
939 Extending the Stabilized Supralinear Network model for binocular image processing Selby, Ben
2017
29-30 C p. 29-41
13 p.
artikel
940 Extracting and inserting knowledge into stacked denoising auto-encoders Yu, Jianbo

29-30 C p. 31-42
artikel
941 Extracting boolean and probabilistic rules from trained neural networks Liu, Pengyu

29-30 C p. 300-311
artikel
942 Extracting cardiac dynamics within ECG signal for human identification and cardiovascular diseases classification Deng, Muqing
2018
29-30 C p. 70-83
artikel
943 Extraction of primitive representation from captured human movements and measured ground reaction force to generate physically consistent imitated behaviors Ariki, Yuka
2013
29-30 C p. 32-43
12 p.
artikel
944 Extraction of temporally correlated features from dynamic vision sensors with spike-timing-dependent plasticity Bichler, Olivier
2012
29-30 C p. 339-348
10 p.
artikel
945 Extreme learning machine and adaptive sparse representation for image classification Cao, Jiuwen
2016
29-30 C p. 91-102
12 p.
artikel
946 Extreme learning machine for a new hybrid morphological/linear perceptron Sussner, Peter

29-30 C p. 288-298
artikel
947 Extreme learning machine for ranking: Generalization analysis and applications Chen, Hong
2014
29-30 C p. 119-126
8 p.
artikel
948 Fast Clustered Radial Basis Function Network as an adaptive predictive controller Kosic, Dino
2015
29-30 C p. 79-86
8 p.
artikel
949 Fast DCNN based on FWT, intelligent dropout and layer skipping for image retrieval ElAdel, Asma
2017
29-30 C p. 10-18
artikel
950 Fast Deep Stacked Networks based on Extreme Learning Machine applied to regression problems da Silva, Bruno Légora Souza

29-30 C p. 14-28
artikel
951 Fast discrete cross-modal hashing with semantic consistency Yao, Tao

29-30 C p. 142-152
artikel
952 Faster Turnaround 2014
29-30 C p. xiv-xv
nvt p.
artikel
953 Fastest strategy to achieve given number of neuronal firing in theta model Wang, Jiaoyan
2014
29-30 C p. 134-145
12 p.
artikel
954 Fast Gaussian kernel learning for classification tasks based on specially structured global optimization Zhong, Shangping
2014
29-30 C p. 51-62
12 p.
artikel
955 Fast generalization error bound of deep learning without scale invariance of activation functions Terada, Yoshikazu

29-30 C p. 344-358
artikel
956 Fast Haar Transforms for Graph Neural Networks Li, Ming

29-30 C p. 188-198
artikel
957 Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection Kim, Jihun
2017
29-30 C p. 109-121
13 p.
artikel
958 Fault-tolerant nonlinear adaptive flight control using sliding mode online learning Krüger, Thomas
2012
29-30 C p. 267-274
8 p.
artikel
959 Feature fusion via Deep Random Forest for facial age estimation Guehairia, O.

29-30 C p. 238-252
artikel
960 Feature selection and multi-kernel learning for sparse representation on a manifold Wang, Jim Jing-Yan
2014
29-30 C p. 9-16
8 p.
artikel
961 Feature selection for linear SVMs under uncertain data: Robust optimization based on difference of convex functions algorithms Le Thi, Hoai An
2014
29-30 C p. 36-50
15 p.
artikel
962 Few-shot learning in deep networks through global prototyping Blaes, Sebastian
2017
29-30 C p. 159-172
14 p.
artikel
963 Finite-time and fixed-time anti-synchronization of Markovian neural networks with stochastic disturbances via switching control Wan, Peng

29-30 C p. 1-11
artikel
964 Finite-time boundedness and stabilization of uncertain switched neural networks with time-varying delay Wu, Yuanyuan
2015
29-30 C p. 135-143
9 p.
artikel
965 Finite-time cluster synchronization for a class of fuzzy cellular neural networks via non-chattering quantized controllers Tang, Rongqiang

29-30 C p. 79-90
artikel
966 Finite-time cluster synchronization in complex-variable networks with fractional-order and nonlinear coupling Yang, Shuai

29-30 C p. 212-224
artikel
967 Finite time convergent learning law for continuous neural networks Chairez, Isaac
2014
29-30 C p. 175-182
8 p.
artikel
968 Finite-time nonfragile time-varying proportional retarded synchronization for Markovian Inertial Memristive NNs with reaction–diffusion items Song, Xiaona

29-30 C p. 317-330
artikel
969 Finite-time resilient H ∞ state estimation for discrete-time delayed neural networks under dynamic event-triggered mechanism Liu, Yufei

29-30 C p. 356-365
artikel
970 Finite-time robust stabilization of uncertain delayed neural networks with discontinuous activations via delayed feedback control Wang, Leimin
2016
29-30 C p. 46-54
9 p.
artikel
971 Finite-time stabilization and energy consumption estimation for delayed neural networks with bounded activation function Chen, Chongyang

29-30 C p. 163-171
artikel
972 Finite-time stabilization control for discontinuous time-delayed networks: New switching design Zhang, Ling-Ling
2016
29-30 C p. 84-96
13 p.
artikel
973 Finite time stabilization of delayed neural networks Wang, Leimin
2015
29-30 C p. 74-80
7 p.
artikel
974 Finite-time synchronization control of a class of memristor-based recurrent neural networks Jiang, Minghui
2015
29-30 C p. 133-140
8 p.
artikel
975 Finite-time synchronization for memristor-based neural networks with time-varying delays Abdurahman, Abdujelil
2015
29-30 C p. 20-28
9 p.
artikel
976 Finite-time synchronization of fractional-order gene regulatory networks with time delay Qiao, Yuanhua

29-30 C p. 1-10
artikel
977 Finite-time synchronization of fractional-order memristor-based neural networks with time delays Velmurugan, G.
2016
29-30 C p. 36-46
11 p.
artikel
978 Finite-time synchronization of memristor neural networks via interval matrix method Wei, Fei

29-30 C p. 7-18
artikel
979 Finite-time synchronization of stochastic coupled neural networks subject to Markovian switching and input saturation Selvaraj, P.

29-30 C p. 154-165
artikel
980 Finite-time synchronization of uncertain coupled switched neural networks under asynchronous switching Wu, Yuanyuan
2017
29-30 C p. 128-139
12 p.
artikel
981 First experiments with PowerPlay Srivastava, Rupesh Kumar
2013
29-30 C p. 130-136
7 p.
artikel
982 Fixed-final-time optimal control of nonlinear systems with terminal constraints Heydari, Ali
2013
29-30 C p. 61-71
11 p.
artikel
983 Fixed-time pinning-controlled synchronization for coupled delayed neural networks with discontinuous activations Lü, Hui
2019
29-30 C p. 139-149
artikel
984 Fixed-time stability of dynamical systems and fixed-time synchronization of coupled discontinuous neural networks Hu, Cheng
2017
29-30 C p. 74-83
artikel
985 Fixed-time stabilization of impulsive Cohen–Grossberg BAM neural networks Li, Hongfei
2018
29-30 C p. 203-211
artikel
986 Fixed-time synchronization of coupled memristor-based neural networks with time-varying delays Yang, Chao
2019
29-30 C p. 101-109
artikel
987 Fixed-time synchronization of delayed Cohen–Grossberg neural networks based on a novel sliding mode Xiao, Jian

29-30 C p. 1-12
artikel
988 Fixed-time synchronization of inertial memristor-based neural networks with discrete delay Chen, Chuan
2019
29-30 C p. 81-89
artikel
989 Fixed-time synchronization of memristor-based BAM neural networks with time-varying discrete delay Chen, Chuan
2017
29-30 C p. 47-54
8 p.
artikel
990 Fixed-time synchronization of quaternion-valued memristive neural networks with time delays Wei, Ruoyu

29-30 C p. 1-10
artikel
991 Fixed-time synchronization of stochastic memristor-based neural networks with adaptive control Ren, Hongwei

29-30 C p. 165-175
artikel
992 Flexible non-greedy discriminant subspace feature extraction Zhao, Henghao
2019
29-30 C p. 166-177
artikel
993 Flexible unsupervised feature extraction for image classification Liu, Yang
2019
29-30 C p. 65-71
artikel
994 FMixCutMatch for semi-supervised deep learning Wei, Xiang

29-30 C p. 166-176
artikel
995 F-norm distance metric based robust 2DPCA and face recognition Li, Tao
2017
29-30 C p. 204-211
8 p.
artikel
996 FOM: Fourth-order moment based causal direction identification on the heteroscedastic data Cai, Ruichu

29-30 C p. 193-201
artikel
997 Forecasting stochastic neural network based on financial empirical mode decomposition Wang, Jie
2017
29-30 C p. 8-20
13 p.
artikel
998 Fostering deep learning and beyond Doya, Kenji
2018
29-30 C p. iii-iv
artikel
999 FPGA implementation of a configurable neuromorphic CPG-based locomotion controller Barron-Zambrano, Jose Hugo
2013
29-30 C p. 50-61
12 p.
artikel
1000 FPGA implementation of neuro-fuzzy system with improved PSO learning Karakuzu, Cihan
2016
29-30 C p. 128-140
13 p.
artikel
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