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ORCIDNeurocomputing, Volume 470
Volume 470, January 2022
- Uriel Martinez-Hernandez
, Mohammed I. Awad, Abbas A. Dehghani-Sanij:
Learning architecture for the recognition of walking and prediction of gait period using wearable sensors. 1-10 - César Quilodrán Casas, Vinicius L. S. Silva, Rossella Arcucci, Claire E. Heaney, Yike Guo, Christopher C. Pain:
Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic. 11-28 - Yan Xiao, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Hybrid attention-based transformer block model for distant supervision relation extraction. 29-39 - Jing Li, Zejin Chen, Gongfa Li, Gaoxiang Ouyang, Xiaoli Li:
Automatic classification of ASD children using appearance-based features from videos. 40-50 - Rohitash Chandra, Animesh Tiwari:
Distributed Bayesian optimisation framework for deep neuroevolution. 51-65 - Heyan Huang, Xiao Liu, Yue Zhang, Chong Feng:
News-driven stock prediction via noisy equity state representation. 66-75 - Xiongnan Jin, Yooyoung Lee, Jonathan G. Fiscus, Haiying Guan, Amy N. Yates, Andrew Delgado, Daniel Zhou:
MFC-Prov: Media forensics challenge image provenance evaluation and data analysis on large-scale datasets. 76-88 - Yinfeng Fang, Jiani Yang, Dalin Zhou, Zhaojie Ju:
Modelling EMG driven wrist movements using a bio-inspired neural network. 89-98 - Zuo Wang, Yanzheng Zhu, Hong Xue, Hongjing Liang:
Neural networks-based adaptive event-triggered consensus control for a class of multi-agent systems with communication faults. 99-108 - Qianjin Zhang, Ronggui Wang, Juan Yang, Lixia Xue:
Structural context-based knowledge graph embedding for link prediction. 109-120 - Ameer Tamoor Khan, Shuai Li:
Smart surgical control under RCM constraint using bio-inspired network. 121-129 - Qikui Zhu, Yanqing Wang, Bo Du, Pingkun Yan:
OASIS: One-pass aligned atlas set for medical image segmentation. 130-138 - Armin Salimi-Badr, Mohammad Mehdi Ebadzadeh:
A novel learning algorithm based on computing the rules' desired outputs of a TSK fuzzy neural network with non-separable fuzzy rules. 139-153 - Meng Lou, Jie Meng, Yunliang Qi, Xiaorong Li, Yide Ma:
MCRNet: Multi-level context refinement network for semantic segmentation in breast ultrasound imaging. 154-169 - Ying Chen, Jie Song, Mingli Song:
Hierarchical gate network for fine-grained visual recognition. 170-181 - Minkyung Lee, Minyoung Chung, Yeong-Gil Shin:
Cephalometric landmark detection via global and local encoders and patch-wise attentions. 182-189 - Zhihong Sun, Jun Chen, Mithun Mukherjee, Chao Liang, Weijian Ruan, Zhigeng Pan:
Online multiple object tracking based on fusing global and partial features. 190-203 - Boyuan Ma, Xiang Yin, Di Wu, Haokai Shen, Xiaojuan Ban, Yu Wang:
End-to-end learning for simultaneously generating decision map and multi-focus image fusion result. 204-216 - Riccardo La Grassa, Ignazio Gallo, Nicola Landro:
σ2R loss: A weighted loss by multiplicative factors using sigmoidal functions. 217-225 - Yuxuan Shi, Hefei Ling, Lei Wu, Baiyan Zhang, Ping Li:
Attribute disentanglement and registration for occluded person re-identification. 226-235 - Aniana Cruz, Gabriel Pires, Urbano J. Nunes:
Spatial filtering based on Riemannian distance to improve the generalization of ErrP classification. 236-246 - Ruiheng Zhang, Shuo Yang, Qi Zhang, Lixin Xu, Yang He, Fan Zhang:
Graph-based few-shot learning with transformed feature propagation and optimal class allocation. 247-256 - Francesco Crecchi, Marco Melis, Angelo Sotgiu, Davide Bacciu, Battista Biggio:
FADER: Fast adversarial example rejection. 257-268 - Qiankun Song, Zhenjiang Zhao, Yurong Liu, Fuad E. Alsaadi:
Mean-square input-to-state stability for stochastic complex-valued neural networks with neutral delay. 269-277
- Francisco Martínez-Álvarez, Alicia Troncoso Lora, Héctor Quintián, Emilio Corchado:
Special issue SOCO 2019: New trends in soft computing and its application in industrial and environmental problems. 278-279 - Siwar Yahia, Salwa Said, Mourad Zaied:
Wavelet extreme learning machine and deep learning for data classification. 280-289 - Jin-Young Kim, Sung-Bae Cho:
A deep neural network ensemble of multimodal signals for classifying excavator operations. 290-299
- Luca Oneto, Kerstin Bunte, Nicolò Navarin:
Advances in artificial neural networks, machine learning and computational intelligence. 300-303
- André Artelt, Barbara Hammer:
Efficient computation of counterfactual explanations and counterfactual metrics of prototype-based classifiers. 304-317 - Danilo Franco, Nicolò Navarin, Michele Donini, Davide Anguita, Luca Oneto:
Deep fair models for complex data: Graphs labeling and explainable face recognition. 318-334 - Julia Lust, Alexandru Paul Condurache:
Efficient detection of adversarial, out-of-distribution and other misclassified samples. 335-343 - Jan Philip Göpfert, Heiko Wersing, Barbara Hammer:
Interpretable Locally Adaptive Nearest Neighbors. 344-351
- Benjamin Paaßen, Alexander Schulz, Barbara Hammer:
Reservoir stack machines. 352-364 - Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
How important is data quality? Best classifiers vs best features. 365-375 - Abolfazl Taghribi, Marco Canducci, Michele Mastropietro, Sven De Rijcke, Kerstin Bunte, Peter Tino:
ASAP - A sub-sampling approach for preserving topological structures modeled with geodesic topographic mapping. 376-388
- Filippo Maria Bianchi, Claudio Gallicchio, Alessio Micheli:
Pyramidal Reservoir Graph Neural Network. 389-404 - Daniele Castellana, Davide Bacciu:
A tensor framework for learning in structured domains. 405-426
- Thomas Beznik, Paul Smyth, Gaël de Lannoy, John A. Lee:
Deep learning to detect bacterial colonies for the production of vaccines. 427-431 - Kiki van der Heijden, Siamak Mehrkanoon:
Goal-driven, neurobiological-inspired convolutional neural network models of human spatial hearing. 432-442
- Ivano Lauriola, Alberto Lavelli, Fabio Aiolli:
An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools. 443-456 - José David Martín-Guerrero, Lucas Lamata:
Quantum Machine Learning: A tutorial. 457-461
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