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ORCIDCognitive Computation, Volume 15
Volume 15, Number 1, January 2023
- Fadi Dornaika
:
Deep, Flexible Data Embedding with Graph-Based Feature Propagation for Semi-supervised Classification. 1-12 - Kaihan Lin, Weihong Han, Shudong Li, Zhaoquan Gu, Huimin Zhao, Jinchang Ren, Li Zhu, Jujian Lv:
IR-Capsule: Two-Stream Network for Face Forgery Detection. 13-22 - Xiaoquan Li, Yijun Yan, John J. Soraghan, Zheng Wang, Jinchang Ren:
A Music Cognition-Guided Framework for Multi-pitch Estimation. 23-35 - Guoyu Zuo, Jiayuan Tong, Zihao Wang, Daoxiong Gong:
A Graph-Based Deep Reinforcement Learning Approach to Grasping Fully Occluded Objects. 36-49 - Ruoyu Wei, Jinde Cao, Sergey Gorbachev:
Fixed-Time Control for Memristor-Based Quaternion-Valued Neural Networks with Discontinuous Activation Functions. 50-60 - Alessia Amelio, Gianluca Bonifazi, Enrico Corradini, Domenico Ursino, Luca Virgili:
A Multilayer Network-Based Approach to Represent, Explore and Handle Convolutional Neural Networks. 61-89 - Jie Huang, Xin Wang, Rui Xu:
Neural Network-Based Adaptive Containment Control Algorithms Design for Nonlinear Multiagent Systems with Switching Topologies. 90-102 - Matteo Zambra, Alberto Testolin, Marco Zorzi:
A Developmental Approach for Training Deep Belief Networks. 103-120 - Xingguo Qin, Ya Zhou, Guimin Huang, Maolin Li, Jun Li:
Multi-granularity Hierarchical Feature Extraction for Question-Answering Understanding. 121-131 - Yanping Chen, Rong Huang, Lijun Pan, Ruizhang Huang, Qinghua Zheng, Ping Chen:
A Controlled Attention for Nested Named Entity Recognition. 132-145 - Kyle Hall, Andy Huang, Seyed Reza Shahamiri:
An Investigation to Identify Optimal Setup for Automated Assessment of Dysarthric Intelligibility using Deep Learning Technologies. 146-158 - Zhao Zhang, Shuning Han, Huaihai Yi, Feng Duan, Fei Kang, Zhe Sun, Jordi Solé-Casals, Cesar F. Caiafa:
A Brain-Controlled Vehicle System Based on Steady State Visual Evoked Potentials. 159-175 - Shiva Asadzadeh, Tohid Yousefi Rezaii, Soosan Beheshti, Saeed Meshgini:
Accurate Emotion Recognition Utilizing Extracted EEG Sources as Graph Neural Network Nodes. 176-189 - Pranjal Talukdar, Palash Dutta, Soumendra Goala:
Cognitive Decision-Making Based on a Non-linear Similarity Measure Using an Intuitionistic Fuzzy Set Framework. 190-207 - Marcos Faúndez-Zanuy, Jirí Mekyska:
Analysis of Gender Differences in Online Handwriting Signals for Enhancing e-Health and e-Security Applications. 208-219 - Haobo Chen, Shaode Yu, Xiaoping Pan, Yanjia Chen, Tian Zhang, Ze Li, Jin Zhou, Jianxi Hu, Wai-Ling Bickerton, Johnny King Lau, Aihua Guo, Anthony Pak-Hin Kong, Pia Rotshtein:
The Cognitive Makeup of Writing: Multivariate Analysis of Writing Impairments Following Stroke. 220-237 - Carmelo Militello, Francesco Prinzi, Giulia Sollami, Leonardo Rundo, Ludovico La Grutta, Salvatore Vitabile:
CT Radiomic Features and Clinical Biomarkers for Predicting Coronary Artery Disease. 238-253 - Yabing Wang, Guimin Huang, Maolin Li, Yiqun Li, Xiaowei Zhang, Hui Li:
Automatically Constructing a Fine-Grained Sentiment Lexicon for Sentiment Analysis. 254-271 - Danny Merkx, Sebastiaan Scholten, Stefan L. Frank, Mirjam Ernestus, Odette Scharenborg:
Modelling Human Word Learning and Recognition Using Visually Grounded Speech. 272-288 - Fan Wang, Shengwei Tian, Long Yu, Jing Liu, Junwen Wang, Kun Li, Yongtao Wang:
TEDT: Transformer-Based Encoding-Decoding Translation Network for Multimodal Sentiment Analysis. 289-303 - Chun Yan, Jiahui Liu, Wei Liu, Xinhong Liu:
Sentiment Analysis and Topic Mining Using a Novel Deep Attention-Based Parallel Dual-Channel Model for Online Course Reviews. 304-322 - Zhe Zhang, Guangli Xiao, Yurong Qian, Mengnan Ma, Hongyong Leng, Tao Zhang:
VSCA: A Sentence Matching Model Incorporating Visual Perception. 323-336 - Zhenda Hu, Zhaoxia Wang, Yinglin Wang, Ah-Hwee Tan:
Aspect Sentiment Triplet Extraction Incorporating Syntactic Constituency Parsing Tree and Commonsense Knowledge Graph. 337-347 - Meijun Sun, Pengfei Li, Jinchang Ren, Zheng Wang:
Attention Mechanism Enhanced Multi-layer Edge Perception Network for Deep Semantic Medical Segmentation. 348-358 - Guiduo Duan, Yunrui Dong, Jiayu Miao, Tianxi Huang:
Position-Aware Attention Mechanism-Based Bi-graph for Dialogue Relation Extraction. 359-372
Volume 15, Number 2, March 2023
- Layla Chadaporn Antaket, Yoshiki Kashimori:
Neural Mechanisms of the Maintenance and Manipulation of Gustatory Working Memory in Orbitofrontal Cortex. 373-391 - J. A. García-Pulido, Gonzalo Pajares, Sebastián Dormido:
UAV Landing Platform Recognition Using Cognitive Computation Combining Geometric Analysis and Computer Vision Techniques. 392-412 - Shaohong Li, Guoguo Liu, Shiguo Xiao:
Extreme Learning Machine with Kernels for Solving Elliptic Partial Differential Equations. 413-428 - Shu Li, Yuxu Mao, Fuchang Zhang, Dong Wang, Guoqiang Zhong:
DLW-NAS: Differentiable Light-Weight Neural Architecture Search. 429-439 - Javier Torregrosa, Sergio D'Antonio-Maceiras, Guillermo Villar-Rodríguez, Amir Hussain, Erik Cambria, David Camacho:
A Mixed Approach for Aggressive Political Discourse Analysis on Twitter. 440-465 - Shansong Mo, Chengdai Huang, Jinde Cao, Ahmed Alsaedi:
Dynamical Bifurcations in a Fractional-Order Neural Network with Nonidentical Communication Delays. 466-485 - Yunhua Lu, Minghui Su, Yong Wang, Zhi Liu, Tao Peng:
Learning Discriminated Features Based on Feature Pyramid Networks and Attention for Multi-scale Object Detection. 486-495 - Qing Wu, Yanlin Fu, Dongshun Cui, En Wang:
C-Loss-Based Doubly Regularized Extreme Learning Machine. 496-519 - Congjun Rao, Mingyun Gao, Mark Goh, Xinping Xiao:
Green Supplier Selection Mechanism Based on Information Environment of Z-Numbers. 520-533 - Yanping Chen, Lefei Wu, Qinghua Zheng, Ruizhang Huang, Jun Liu, Liyuan Deng, Junhui Yu, Yongbin Qing, Bo Dong, Ping Chen:
A Boundary Regression Model for Nested Named Entity Recognition. 534-551 - Yong Mi, Jian Dai, Zhenwen Ren, Xiaojian You, Yanlong Wang:
One-Stage Multi-view Clustering with Hierarchical Attributes Extraction. 552-564 - Yongfang Xie, Weitao Hu, Shiwen Xie, Lei He:
Surface Defect Detection Algorithm Based on Feature-Enhanced YOLO. 565-579 - Da Ke, Xiang Wang, Kaizhu Huang, Haoyuan Wang, Zhitao Huang:
Minimum Power Adversarial Attacks in Communication Signal Modulation Classification with Deep Learning. 580-589 - Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho:
Exploring Dimensionality Reduction Techniques in Multilingual Transformers. 590-612 - Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani:
ConvXAI: a System for Multimodal Interaction with Any Black-box Explainer. 613-644 - Sujan Ghimire, Thong Nguyen-Huy, Ramendra Prasad, Ravinesh C. Deo, David Casillas-Pérez, Sancho Salcedo-Sanz, Binayak Bhandari:
Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction. 645-671 - Qingzhong Ai, Shiyu Liu, Lirong He, Zenglin Xu:
Stein Variational Gradient Descent with Multiple Kernels. 672-682 - Xia Ji, Lei Yang, Sheng Yao, Peng Zhao, Xuejun Li:
Fast and General Incomplete Multi-view Adaptive Clustering. 683-693 - Masoud Amiri, Amir Homayoun Jafari, Bahador Makkiabadi, Soheila Nazari:
A Novel Unsupervised Spatial-Temporal Learning Mechanism in a Bio-inspired Spiking Neural Network. 694-709 - Jiaguo Wang, Xianghao Meng, Hanyuan Xu, Yang Pei:
Neural Modeling and Real-Time Environment Training of Human Binocular Stereo Visual Tracking. 710-730 - John Pavlopoulos, Aristidis Likas:
Distance from Unimodality for the Assessment of Opinion Polarization. 731-738 - Gang Bao, Rui Xu:
A Data-Driven Energy Management Strategy Based on Deep Reinforcement Learning for Microgrid Systems. 739-750 - Vasily Sachnev, Narasimhan Sundararajan, Suresh Sundaram:
A New Approach for JPEG Steganalysis with a Cognitive Evolving Ensembler and Robust Feature Selection. 751-764 - Kuppusamy Saraswathi, Thangavel Renukadevi:
Deep Non-linear and Unbiased Deep Decisive Pooling Learning-Based Opinion Mining of Customer Review. 765-777 - Teng Gao, Qing Pan, Jian Zhou, Huabin Wang, Liang Tao, Hon Keung Kwan:
A Novel Attention-Guided Generative Adversarial Network for Whisper-to-Normal Speech Conversion. 778-792 - Hui Chen, Pengfei Hong, Wei Han, Navonil Majumder, Soujanya Poria:
Dialogue Relation Extraction with Document-Level Heterogeneous Graph Attention Networks. 793-802
Volume 15, Number 3, May 2023
- Dengdi Sun, Liang Liu, Bin Luo, Zhuanlian Ding:
GLASS: A Graph Laplacian Autoencoder with Subspace Clustering Regularization for Graph Clustering. 803-821 - Basanti Pal Nandi, Amita Jain, Devendra Kumar Tayal:
Aspect Based Sentiment Analysis Using Long-Short Term Memory and Weighted N-Gram Graph-Cut. 822-837 - Xuecheng Fan, Zeshui Xu:
Double-Level Multi-attribute Group Decision-making Method Based on Intuitionistic Fuzzy Theory and Evidence Reasoning. 838-855 - Qinyao Chang, Shiping Zhu:
Human Vision Attention Mechanism-Inspired Temporal-Spatial Feature Pyramid for Video Saliency Detection. 856-868 - Muhammad Naeem Khan Tanoli, Muhammad Gulistan, Fazli Amin, Zahid Khan, Mohammed M. Ali Al-Shamiri:
Complex Cubic Fuzzy Einstein Averaging Aggregation Operators: Application to Decision-making Problems. 869-887 - P. S. Thanigaivelu, S. S. Sridhar, S. Fouziya Sulthana:
OISVM: Optimal Incremental Support Vector Machine-based EEG Classification for Brain-computer Interface Model. 888-903 - Najmeh Ziraki, Alireza Bosaghzadeh, Fadi Dornaika, Zoulfikar Ibrahim, Nagore Barrena:
Inductive Multi-View Semi-supervised Learning with a Consensus Graph. 904-913 - Sivakumar Murugaiyan, Srinivasulu Reddy Uyyala:
Aspect-Based Sentiment Analysis of Customer Speech Data Using Deep Convolutional Neural Network and BiLSTM. 914-931 - Syed Saud Naqvi, Zubair Akhtar Langah, Haroon Ahmed Khan, Majid Iqbal Khan, Tariq Bashir, Muhammad Imran Razzak, Tariq Mahmood Khan:
GLAN: GAN Assisted Lightweight Attention Network for Biomedical Imaging Based Diagnostics. 932-942 - Shuang Wu, Guangjian Zhang:
SRFFNet: Self-refine, Fusion and Feedback for Salient Object Detection. 943-955 - Zuohan Chen, Jie Cao, Fuqing Zhao, Jianlin Zhang:
A Grouping Cooperative Differential Evolution Algorithm for Solving Partially Separable Complex Optimization Problems. 956-975 - Enrico De Santis, Antonello Rizzi:
Prototype Theory Meets Word Embedding: A Novel Approach for Text Categorization via Granular Computing. 976-997 - Donatas Laurinavicius, Rytis Maskeliunas, Robertas Damasevicius:
Improvement of Facial Beauty Prediction Using Artificial Human Faces Generated by Generative Adversarial Network. 998-1015 - Wei Liu, Peijie Wang, Zhihui Zhang, Qiong Liu:
Multi-Scale Convolutional Neural Network for Temporal Knowledge Graph Completion. 1016-1022 - Jujie Wang, Shuzhou Zhu:
A Novel Stock Index Direction Prediction Based on Dual Classifier Coupling and Investor Sentiment Analysis. 1023-1041 - Ankit Vidyarthi:
A Dense-Layered Deep Neural Model-Based Classification of Brain Hemorrhages Using Head Computer Tomography Images. 1042-1052 - Jun Yu, Yukun Zheng, Yinglin Wang, Zuhe Li, Liang Zhu:
Joint and Individual Feature Fusion Hashing for Multi-modal Retrieval. 1053-1064 - Alberto Fernández-Isabel, Javier Cabezas, Daniela Moctezuma, Isaac Martín de Diego:
Improving Sentiment Classification Performance through Coaching Architectures. 1065-1081 - Dazhi Jiang, Hao Liu, Runguo Wei, Geng Tu:
CSAT-FTCN: A Fuzzy-Oriented Model with Contextual Self-attention Network for Multimodal Emotion Recognition. 1082-1091 - Zhaoxia Wang, Zhenda Hu, Fang Li, Seng-Beng Ho, Erik Cambria:
Learning-Based Stock Trending Prediction by Incorporating Technical Indicators and Social Media Sentiment. 1092-1102
Volume 15, Number 4, July 2023
- Zhe Sun, Vassilis Cutsuridis, Cesar F. Caiafa, Jordi Solé-Casals:
Brain Simulation and Spiking Neural Networks. 1103-1105 - Jin Zhang, Fan Feng, Tianyi Han, Xiaoli Gong, Feng Duan:
Detection of Autism Spectrum Disorder using fMRI Functional Connectivity with Feature Selection and Deep Learning. 1106-1117 - Taira Kobayashi, Rin Kuriyama, Tadashi Yamazaki:
Testing an Explicit Method for Multi-compartment Neuron Model Simulation on a GPU. 1118-1131 - Caglar Cakan, Nikola Jajcay, Klaus Obermayer:
neurolib: A Simulation Framework for Whole-Brain Neural Mass Modeling. 1132-1152 - Hao Cheng, Feng Duan, Maochang He:
Spiking Memory Policy with Population-encoding for Partially Observable Markov Decision Process Problems. 1153-1166 - Xiaohe Xue, Ralf D. Wimmer, Michael M. Halassa, Zhe Sage Chen:
Spiking Recurrent Neural Networks Represent Task-Relevant Neural Sequences in Rule-Dependent Computation. 1167-1189 - Jeffrey D. Kopsick, Carolina Tecuatl, Keivan Moradi, Sarojini M. Attili, Hirak J. Kashyap, Jinwei Xing, Kexin Chen, Jeffrey L. Krichmar, Giorgio A. Ascoli:
Robust Resting-State Dynamics in a Large-Scale Spiking Neural Network Model of Area CA3 in the Mouse Hippocampus. 1190-1210 - Jannik Luboeinski, Christian Tetzlaff:
Organization and Priming of Long-term Memory Representations with Two-phase Plasticity. 1211-1230 - Marcello Salustri, Ruggero Micheletto:
Heterogeneous Axonal Delay Improves the Spiking Activity Propagation on a Toroidal Network. 1231-1242 - Rabi Shaw, Chinmay Mohanty, Bidyut Kr. Patra, Animesh Pradhan:
1D Multi-Point Local Ternary Pattern: A Novel Feature Extraction Method for Analyzing Cognitive Engagement of students in Flipped Learning Pedagogy. 1243-1256 - Yikang Yang, Jia Ren, Feng Duan:
The Spiking Rates Inspired Encoder and Decoder for Spiking Neural Networks: An Illustration of Hand Gesture Recognition. 1257-1272 - Mark Crook-Rumsey, Christina J. Howard, Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Josafath Israel Espinosa Ramos, Nikola K. Kasabov, Alexander Sumich:
Spatiotemporal EEG Dynamics of Prospective Memory in Ageing and Mild Cognitive Impairment. 1273-1299 - Hui-Shen Yuan, Si-Bao Chen, Bin Luo, Hao Huang, Qiang Li:
Multi-branch Bounding Box Regression for Object Detection. 1300-1307 - Dengdi Sun, Leilei Ma, Zhuanlian Ding, Bin Luo:
An Attention-Driven Multi-label Image Classification with Semantic Embedding and Graph Convolutional Networks. 1308-1319 - Erzhou Zhu, Qixiang Yuan, Zhile Chen, Xuejian Li, Xianyong Fang:
CCBLA: a Lightweight Phishing Detection Model Based on CNN, BiLSTM, and Attention Mechanism. 1320-1333 - Haifeng Zhao, Haiting Wu, Xin Wang:
OIAE: Overall Improved Autoencoder with Powerful Image Reconstruction and Discriminative Feature Extraction. 1334-1341 - Wenjun Bai, Changqin Quan, Zhi-Wei Luo:
Data-driven Dimensional Expression Generation via Encapsulated Variational Auto-Encoders. 1342-1354 - Himmet Kaplan, Albert Weichselbraun, Adrian M. P. Brasoveanu:
Integrating Economic Theory, Domain Knowledge, and Social Knowledge into Hybrid Sentiment Models for Predicting Crude Oil Markets. 1355-1371 - Dong Tian, Jia Shi, Jianying Feng:
A Self-Attention-Based Multi-Level Fusion Network for Aspect Category Sentiment Analysis. 1372-1390 - Marvin M. Agüero-Torales, Antonio Gabriel López-Herrera, David Vilares:
Multidimensional Affective Analysis for Low-Resource Languages: A Use Case with Guarani-Spanish Code-Switching Language. 1391-1406
Volume 15, Number 5, September 2023
- Simone Scardapane, Claudio Gallicchio, Alessio Micheli, Miguel C. Soriano:
Guest Editorial: Trends in Reservoir Computing. 1407-1408 - Kiril Simov, Petia D. Koprinkova-Hristova, Alexander Popov, Petya Osenova:
A Reservoir Computing Approach to Word Sense Disambiguation. 1409-1418 - Felix Köster, Dominik Ehlert, Kathy Lüdge:
Limitations of the Recall Capabilities in Delay-Based Reservoir Computing Systems. 1419-1426 - Doreen Jirak, Stephan Tietz, Hassan Ali, Stefan Wermter:
Echo State Networks and Long Short-Term Memory for Continuous Gesture Recognition: a Comparative Study. 1427-1439 - Rodrigo Martínez-Peña, Johannes Nokkala, Gian Luca Giorgi, Roberta Zambrini, Miguel C. Soriano:
Information Processing Capacity of Spin-Based Quantum Reservoir Computing Systems. 1440-1451 - Piotr Antonik, Nicolas Marsal, Daniel Brunner, Damien Rontani:
Bayesian Optimisation of Large-scale Photonic Reservoir Computers. 1452-1460 - Alejandro Morán, Vincent Canals, Fabio Galán-Prado, Christian F. Frasser, Dhinakar Radhakrishnan, Saeid Safavi, Josep L. Rosselló:
Hardware-Optimized Reservoir Computing System for Edge Intelligence Applications. 1461-1469 - Mantas Lukosevicius, Arnas Uselis:
Efficient Implementations of Echo State Network Cross-Validation. 1470-1484 - Anthony Strock, Nicolas P. Rougier, Xavier Hinaut:
Latent Space Exploration and Functionalization of a Gated Working Memory Model Using Conceptors. 1485-1496 - Sanjoy Chakraborty, Apu Kumar Saha, Amit Chhabra:
Improving Whale Optimization Algorithm with Elite Strategy and Its Application to Engineering-Design and Cloud Task Scheduling Problems. 1497-1525 - Xiaoyan Zhang, Doudou Guo, Weihua Xu:
Two-way Concept-Cognitive Learning with Multi-source Fuzzy Context. 1526-1548 - Franz A. Van-Horenbeke, Angelika Peer:
NILRNN: A Neocortex-Inspired Locally Recurrent Neural Network for Unsupervised Feature Learning in Sequential Data. 1549-1565 - Hao Ma, Fan Wu, Yun Guan, Le Xu, Jiangcong Liu, Lixia Tian:
BrainNet with Connectivity Attention for Individualized Predictions Based on Multi-Facet Connections Extracted from Resting-State fMRI Data. 1566-1580 - Jian Dai, Zhenwen Ren, Yunzhi Luo, Hong Song, Jian Yang:
Tensorized Anchor Graph Learning for Large-scale Multi-view Clustering. 1581-1592 - Dilli Babu Salvakkam, Vijayalakshmi Saravanan, Praphula Kumar Jain, Rajendra Pamula:
Enhanced Quantum-Secure Ensemble Intrusion Detection Techniques for Cloud Based on Deep Learning. 1593-1612 - Neyla Sfeir, Igor Aleksander:
Cognitive Phenomenology Neuroscience and Computation. 1613-1619 - Lucas Lörch, Benoît Lemaire, Sophie Portrat:
A Hebbian Model to Account for Musical Expertise Differences in a Working Memory Task. 1620-1639 - Wei Zhou, Jiawei Lian, Shunzhi Zhu, Yun Wu, Da-Han Wang:
Vehicle Re-Identification by Separating Representative Spatial Features. 1640-1655 - Zhiyu Shao, Jiatong Bao, Jingwei Li, Hongru Tang:
Haptic Recognition of Texture Surfaces Using Semi-Supervised Feature Learning Based on Sparse Representation. 1656-1671 - Lixiang Xu, Wei Xu, Qingzhe Cui, Mengying Li, Bin Luo, Yuanyan Tang:
Deep Heuristic Evolutionary Regression Model Based on the Fusion of BiGRU and BiLSTM. 1672-1686 - Abdulrakeeb M. Al-Ssulami, Randh S. Alsorori, Aqil M. Azmi, Hatim Aboalsamh:
Improving Coronary Heart Disease Prediction Through Machine Learning and an Innovative Data Augmentation Technique. 1687-1702