Neurocomputing, Volume 416

Volume 416, November 2020

• 
  Jin Hu, Haidong Tan, Chunna Zeng:
  Global exponential stability of delayed complex-valued neural networks with discontinuous activation functions. 1-11
• 
  Seitaro Koyama, Toshimichi Saito:
  Guaranteed storage and stabilization of desired binary periodic orbits in three-layer dynamic binary neural networks. 12-18
• 
  Tiantian Li, Jun-e Feng, Biao Wang:
  Reconstructibility of singular Boolean control networks via automata approach. 19-27
• 
  Huixiang Liu, Qing Li, Yu Gu:
  A multi-task learning framework for gas detection and concentration estimation. 28-37
• 
  Emmanouil Giannakakis, Cheol E. Han, Bernd Weber, Frances Hutchings, Marcus Kaiser:
  Towards simulations of long-term behavior of neural networks: Modeling synaptic plasticity of connections within and between human brain regions. 38-44

Special Section on Theoretical Analysis of Deep Learning

• 
  Tingwen Huang, Chaojie Li, Shiping Wen, Xing He, Guanghui Wen:
  Special issue: Theoretical analysis of deep learning editorial. 45-46
• 
  Dandan Hu, Jinsong Zhang, Zhi-Wei Liu:
  Charging stations expansion planning under government policy driven based on Bayesian regularization backpropagation learning. 47-58
• 
  Yurong Zhang, Zhichun Yang:
  Global dynamics and learning algorithm of non-autonomous neural networks with time-varying delays. 59-68
• 
  Feiyi Xu, Chi-Man Pun, Haolun Li, Yushu Zhang, Yurong Song, Hao Gao:
  Training Feed-Forward Artificial Neural Networks with a modified artificial bee colony algorithm. 69-84
• 
  Jueyou Li, Chuanye Gu, Zhiyou Wu:
  Online distributed stochastic learning algorithm for convex optimization in time-varying directed networks. 85-94
• 
  Tao Dong, Yanlin Gong:
  Leader-following secure consensus for second-order multi-agent systems with nonlinear dynamics and event-triggered control strategy under DoS attack. 95-102
• 
  Jinyin Chen, Keke Hu, Yitao Yang, Yi Liu, Qi Xuan:
  Collective transfer learning for defect prediction. 103-116
• 
  Qingyong Zhang, Hao Qian, Yuepeng Chen, Deming Lei:
  A short-term traffic forecasting model based on echo state network optimized by improved fruit fly optimization algorithm. 117-124
• 
  Jinyin Chen, Yangyang Wu, Chengyu Jia, Haibin Zheng, Guohan Huang:
  Customizable text generation via conditional text generative adversarial network. 125-135
• 
  Kun Xie, Hong Yi, Gangyi Hu, Leixin Li, Zeyang Fan:
  Short-term power load forecasting based on Elman neural network with particle swarm optimization. 136-142
• 
  Minghao Zhou, Yong Feng, Chen Xue, Fengling Han:
  Deep convolutional neural network based fractional-order terminal sliding-mode control for robotic manipulators. 143-151
• 
  Yan Jun Liu, Junjian Huang, Yu Qin, Xinbo Yang:
  Finite-time synchronization of complex-valued neural networks with finite-time distributed delays. 152-157
• 
  Yu Zeng:
  Evaluation of node importance and invulnerability simulation analysis in complex load- network. 158-164
• 
  Fengmin Yu, Lianghao Ji, Shasha Yang:
  Group consensus for a class of heterogeneous multi-agent networks in the competition systems. 165-171

Special Section on Advances in artificial neural networks, machine learning and computational intelligence

• 
  Luca Oneto, Kerstin Bunte, Alessandro Sperduti:
  Advances in artificial neural networks, machine learning and computational intelligence. 172-176

Subsection: Learning in Structured Domains

• 
  Davide Bacciu, Alessio Micheli, Marco Podda:
  Edge-based sequential graph generation with recurrent neural networks. 177-189
• 
  Nicolò Navarin, Dinh Tran-Van, Alessandro Sperduti:
  A framework for the definition of complex structured feature spaces. 190-201

Subsection: Adversarial Learning

• 
  Jonathan Peck, Bart Goossens, Yvan Saeys:
  Detecting adversarial manipulation using inductive Venn-ABERS predictors. 202-217
• 
  Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso:
  Pixel-wise conditioned generative adversarial networks for image synthesis and completion. 218-230

Subsection: Privacy and Fairness in Learning From Data

• 
  Luca Oneto, Michele Donini, Massimiliano Pontil, John Shawe-Taylor:
  Randomized learning and generalization of fair and private classifiers: From PAC-Bayes to stability and differential privacy. 231-243
• 
  Andrew Yale, Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Kristin P. Bennett:
  Generation and evaluation of privacy preserving synthetic health data. 244-255

Subsection: Dimensionality Reduction and Feature Selection

• 
  Cécile Hautecoeur, François Glineur:
  Nonnegative Matrix Factorization over Continuous Signals using Parametrizable Functions. 256-265
• 
  Lukas Pfannschmidt, Jonathan Jakob, Fabian Hinder, Michael Biehl, Peter Tiño, Barbara Hammer:
  Feature relevance determination for ordinal regression in the context of feature redundancies and privileged information. 266-279

Subsection: Weightless Neural Networks

• 
  Leopoldo Lusquino Filho, Luiz F. R. Oliveira, Aluizio Lima Filho, Gabriel P. Guarisa, Lucca M. Felix, Priscila M. V. Lima, Felipe M. G. França:
  Extending the weightless WiSARD classifier for regression. 280-291
• 
  Leandro Santiago, Letícia Dias Verona, Fábio Medeiros Rangel, Fabrício Firmino de Faria, Daniel S. Menasché, Wouter Caarls, Maurício Breternitz Jr., Sandip Kundu, Priscila M. V. Lima, Felipe M. G. França:
  Weightless Neural Networks as Memory Segmented Bloom Filters. 292-304

Subsection: Algorithms Based on Neural Networks

• 
  Iryna Korshunova, Yarin Gal, Arthur Gretton, Joni Dambre:
  Conditional BRUNO: A neural process for exchangeable labelled data. 305-309
• 
  Lukas Enderich, Fabian Timm, Wolfram Burgard:
  SYMOG: Learning symmetric mixture of Gaussian modes for improved fixed-point quantization. 310-315
• 
  Balthazar Donon, Benjamin Donnot, Isabelle Guyon, Zhengying Liu, Antoine Marot, Patrick Panciatici, Marc Schoenauer:
  LEAP nets for system identification and application to power systems. 316-327

Subsection: Other Topics in Learning From Data

• 
  Jiajun Pan, Hoel Le Capitaine:
  Metric learning with submodular functions. 328-339
• 
  Christoph Raab, Moritz Heusinger, Frank-Michael Schleif:
  Reactive Soft Prototype Computing for Concept Drift Streams. 340-351
• 
  Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek:
  Bayesian decomposition of multi-modal dynamical systems for reinforcement learning. 352-359
• 
  Rodrigo S. Sousa, Priscila G. M. dos Santos, Tiago Mendonça Lucena de Veras, Wilson Rosa de Oliveira, Adenilton J. da Silva:
  Parametric Probabilistic Quantum Memory. 360-369