default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCognitive Computation, Volume 16
Volume 16, Number 1, January 2024
- Viswan Vimbi
, Noushath Shaffi, Mufti Mahmud, Karthikeyan Subramanian, Faizal Hajamohideen:
Explainable Artificial Intelligence in Alzheimer's Disease Classification: A Systematic Review. 1-44 - Vikas Hassija, Vinay Chamola, Atmesh Mahapatra, Abhinandan Singal, Divyansh Goel, Kaizhu Huang, Simone Scardapane, Indro Spinelli, Mufti Mahmud, Amir Hussain:
Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence. 45-74 - Ruoyu Wei, Jinde Cao, Sergey Gorbachev:
An Event-Triggered Method for Stabilization of Stochastic Quaternion-Valued Memristive Neural Networks. 75-85 - Xiang-yu Zhong, Xuanhua Xu, Mark Goh, Bin Pan:
Large Group Decision-Making Method Based on Social Network Analysis: Integrating Evaluation Information and Trust Relationships. 86-106 - Francesco Prinzi, Marco Insalaco, Alessia Orlando, Salvatore Gaglio, Salvatore Vitabile:
A Yolo-Based Model for Breast Cancer Detection in Mammograms. 107-120 - Jichi Chen, Hong Wang, Enqiu He:
A Transfer Learning-Based CNN Deep Learning Model for Unfavorable Driving State Recognition. 121-130 - Miguel A. Ferrer, Abhijit Das, Moisés Díaz, Aythami Morales, Cristina Carmona-Duarte, Umapada Pal:
MDIW-13: a New Multi-Lingual and Multi-Script Database and Benchmark for Script Identification. 131-157 - Yan Yan, Bo-Wen Zhang, Guanwen Ding, Wenjie Li, Jie Zhang, Jia-Jing Li, Wenchao Gao:
O2-Bert: Two-Stage Target-Based Sentiment Analysis. 158-176 - Xianbin Wu, Chuanbo Wen, Zidong Wang, Weibo Liu, Junjie Yang:
A Novel Ensemble-Learning-Based Convolution Neural Network for Handling Imbalanced Data. 177-190 - Zhi Gao, Jing Yang, Lu Zhang, Fengling Jiang, Xixiang Jiao:
TEGAN: Transformer Embedded Generative Adversarial Network for Underwater Image Enhancement. 191-214 - Lu Xie, Weigang Li, Yongqiang Wang, Yuntao Zhao:
Prototype Consistency Learning for Medical Image Segmentation by Cross Pseudo Supervision. 215-228 - Hao Jia, Zihao Huang, Cesar F. Caiafa, Feng Duan, Yu Zhang, Zhe Sun, Jordi Solé-Casals:
Assessing the Potential of Data Augmentation in EEG Functional Connectivity for Early Detection of Alzheimer's Disease. 229-242 - Jujie Wang, Jing Liu:
Two-Stage Deep Ensemble Paradigm Based on Optimal Multi-scale Decomposition and Multi-factor Analysis for Stock Price Prediction. 243-264 - Marcos Faúndez-Zanuy, Moisés Díaz, Miguel Ángel Ferrer:
Online Signature Recognition: A Biologically Inspired Feature Vector Splitting Approach. 265-277 - Xiangyu Du, Min Xiao, Jie Ding, Jiajin He, Yi Yao, Jinde Cao:
Bifurcation-Driven Tipping in A Novel Bicyclic Crossed Neural Network with Multiple Time Delays. 278-292 - Zhiqiang Ma, Wenchao Jia, Yutong Zhou, Biqi Xu, Zhiqiang Liu, Zhuoyi Wu:
Personality Enhanced Emotion Generation Modeling for Dialogue Systems. 293-304 - Mudasir Ahmad Wani, Mohammed Ahmed El-Affendi, Patrick Bours, Ali Shariq Imran, Amir Hussain, Ahmed A. Abd El-Latif:
CoDeS: A Deep Learning Framework for Identifying COVID-Caused Depression Symptoms. 305-325 - Mauro Ursino, Gabriele Pirazzini:
Construction of a Hierarchical Organization in Semantic Memory: A Model Based on Neural Masses and Gamma-Band Synchronization. 326-347 - Huifan Gao, Yifeng Zeng, Biyang Ma, Yinghui Pan:
Improving Knowledge Learning Through Modelling Students' Practice-Based Cognitive Processes. 348-365 - Fengqin Yao, Shengke Wang, Laihui Ding, Guoqiang Zhong, Shu Li, Zhiwei Xu:
Attention-Guided Multi-Scale Fusion Network for Similar Objects Semantic Segmentation. 366-376 - Qin Xu, Shiji Liu, Jinpei Liu, Bin Luo:
Cognitively-Inspired Multi-Scale Spectral-Spatial Transformer for Hyperspectral Image Super-Resolution. 377-391 - Yanqiu Wu, Zhengwen Tu, Nina Dai, Liangwei Wang, Ning Hu, Tao Peng:
Stability Analysis of Quaternion-Valued Neutral Neural Networks with Generalized Activation Functions. 392-403 - Yuetian Shi, Bin Fu, Nan Wang, Yaxiong Chen, Jie Fang:
Multispectral Image Quality Improvement Based on Global Iterative Fusion Constrained by Meteorological Factors. 404-424 - Pathmanathan Pankayaraj, Natalia Díaz Rodríguez, Javier Del Ser:
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning. 425-453
Volume 16, Number 2, March 2024
- Yeaminul Haque, Md Rahat Shahriar Zawad, Chowdhury Saleh Ahmed Rony, Md. Hasan Al Banna, Tapotosh Ghosh, M. Shamim Kaiser, Mufti Mahmud:
State-of-the-Art of Stress Prediction from Heart Rate Variability Using Artificial Intelligence. 455-481 - Siva Sai, Uday Mittal, Vinay Chamola, Kaizhu Huang, Indro Spinelli, Simone Scardapane, Zhiyuan Tan, Amir Hussain:
Machine Un-learning: An Overview of Techniques, Applications, and Future Directions. 482-506 - Kunhao Pan, Guowei Zhang, Meng Liao, Jin Xu:
Graph-Based Interactive Matching for Pairs of News Articles. 507-516 - Fengling Jiang, Zeling Wang, Guoqing Yue:
A Novel Cognitively Inspired Deep Learning Approach to Detect Drivable Areas for Self-driving Cars. 517-533 - Junwei Hu, Yong Zhang, Weigang Li, Xiujuan Zheng, Zhiqiang Tian:
Trustworthy Artificial Intelligence Based on an Explicable Temporal Feature Network for Industrial Fault Diagnosis. 534-545 - Xinkai Kuang, Hui Zhu, Biao Yu, Bichun Li:
Fast Clustering for Cooperative Perception Based on LiDAR Adaptive Dynamic Grid Encoding. 546-565 - Lijuan Duan, Zhaoyang Lian, Yuanhua Qiao, Juncheng Chen, Jun Miao, Mingai Li:
A Novel Feature Fusion Approach for Classification of Motor Imagery EEG Based on Hierarchical Extreme Learning Machine. 566-580 - Muhammad Junaid Umer, Muhammad Sharif, Mudassar Raza:
A Multi-attention Triple Decoder Deep Convolution Network for Breast Cancer Segmentation Using Ultrasound Images. 581-594 - Zhiyao La, Yurong Qian, Hongyong Leng, Tianyu Gu, Weijun Gong, Jiaying Chen:
MC-GAT: Multi-Channel Graph Attention Networks for Capturing Diverse Information in Complex Graphs. 595-607 - Giansalvo Cirrincione, Vincenzo Randazzo, Pietro Barbiero, Gabriele Ciravegna, Eros Pasero:
Gradient-Based Competitive Learning: Theory. 608-623 - Neha Punetha, Goonjan Jain:
Optimizing Sentiment Analysis: A Cognitive Approach with Negation Handling via Mathematical Modelling. 624-640 - Hasan Yildirim, M. Revan Özkale:
A Novel Regularized Extreme Learning Machine Based on L1-Norm and L2-Norm: a Sparsity Solution Alternative to Lasso and Elastic Net. 641-653 - Wen-Bin Wu, Sibao Chen, Chris Ding, Bin Luo:
Non-linear Feature Selection Based on Convolution Neural Networks with Sparse Regularization. 654-670 - Ningning Zhao, Yuanhua Qiao:
Global Exponential Synchronization of Clifford-Valued Memristive Fuzzy Neural Networks with Delayed Impulses. 671-681 - Zhenghongyuan Ni, Ye Jin, Peng Liu, Wei Zhao:
A Novel Heuristic Exploration Method Based on Action Effectiveness Constraints to Relieve Loop Enhancement Effect in Reinforcement Learning with Sparse Rewards. 682-700 - Ibrahim Salim, A. Ben Hamza:
Classification of Developmental and Brain Disorders via Graph Convolutional Aggregation. 701-716 - Ziming Wang, Hui Wang, Xin Wang, Ning Pang, Yun-Qing Shi:
Event-Triggered Adaptive Neural Control for Full State-Constrained Nonlinear Systems with Unknown Disturbances. 717-726 - Chenyang Song, Zeshui Xu, Yixin Zhang:
An Enhanced Interactive and Multi-criteria Decision-Making (TODIM) Method with Probabilistic Dual Hesitant Fuzzy Sets for Risk Evaluation of Arctic Geopolitics. 727-739 - Li Gao, Yi Liu, Jianmin Zhu, Zhen Yu:
A Cognitively Inspired Multi-granularity Model Incorporating Label Information for Complex Long Text Classification. 740-755 - Marta Balagué-Marmaña, Laura Dempere-Marco:
Synaptic Facilitation: A Key Biological Mechanism for Resource Allocation in Computational Models of Working Memory. 756-775 - Yejin Kim, David Camacho, Chang Choi:
Real-Time Multi-Class Classification of Respiratory Diseases Through Dimensional Data Combinations. 776-787 - Amit Chougule, Agneya Bhardwaj, Vinay Chamola, Pratik Narang:
AGD-Net: Attention-Guided Dense Inception U-Net for Single-Image Dehazing. 788-801
Volume 16, Number 3, May 2024
- Xinyu Li, Xiaoguang Gao, Qianglong Wang, Chenfeng Wang, Bo Li, Kaifang Wan:
Feature Analysis Network: An Interpretable Idea in Deep Learning. 803-826 - Fadi Dornaika, Abdullah Baradaaji:
Joint Label Propagation, Graph and Latent Subspace Estimation for Semi-supervised Classification. 827-840 - Lihua Tan, Xin Wang:
Finite-Time Neuro-adaptive Controller Algorithms for Nonlinear Multiagent Systems with State Constraints and Unmodeled Dynamics. 841-851 - Hao Wang, Zidong Wang, Ruiguo Zhong, Xiaohan Liu, Xiaoguang Gao:
The Improved Ordering-Based Search Method Incorporating with Ensemble Learning. 852-876 - Jing Xu, Chuandong Li, Xing He, Hongsong Wen:
Impulsive Projection Neural Networks for Variational Inequalities and Sparse Signal Reconstruction Application. 877-887 - Sapna Baluni, Vijay K. Yadav, Subir Das, Jinde Cao:
Synchronization of Hypercomplex Neural Networks with Mixed Time-Varying Delays. 888-908 - Dmitri A. Rachkovskij:
Shift-Equivariant Similarity-Preserving Hypervector Representations of Sequences. 909-923 - Hui Sun, Ziyan Zhang, Lili Huang, Bo Jiang, Bin Luo:
Category-Aware Siamese Learning Network for Few-Shot Segmentation. 924-935 - Lu Xie, Weigang Li, Yuntao Zhao:
Pairwise-Pixel Self-Supervised and Superpixel-Guided Prototype Contrastive Loss for Weakly Supervised Semantic Segmentation. 936-948 - Roberto Ascari, Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica:
A Fistful of Vectors: A Tool for Intrinsic Evaluation of Word Embeddings. 949-963 - Weidong Gan, Zeshui Xu, Xinxin Wang:
An Enhanced Decision-Making Framework Driven by Complex Semantics Under Nested Probabilistic Linguistic Environments. 964-983 - Rasha Obeidat, Marwa Al-Harbi, Mahmoud Al-Ayyoub, Luay Alawneh:
ArQuAD: An Expert-Annotated Arabic Machine Reading Comprehension Dataset. 984-1003 - Federico Candela, Santina Romeo, Marcos Faúndez-Zanuy, Pau Ferrer-Ramos:
Cognitive Impairment Detection Based on Frontal Camera Scene While Performing Handwriting Tasks. 1004-1021 - Jialin Qin, Hui Yu, Wei Liang, Derui Ding:
Video Summarization Using Knowledge Distillation-Based Attentive Network. 1022-1031 - Bo Sun, Jinyu Tian, Yong Wu, Lunjun Yu, Yuanyan Tang:
Structured Encoding Based on Semantic Disambiguation for Video Captioning. 1032-1048 - Leyla Yahyaie, Reza Ebrahimpour, Abbas Koochari:
Pupil Size Variations Reveal Information About Hierarchical Decision-Making Processes. 1049-1060 - Ziqian Yang, Hui Li, Renrong Ouyang, Quan Zhang, Jimin Xiao:
Multi-Keys Attention Network for Image Captioning. 1061-1072 - Arash Heidari, Nima Jafari Navimipour, Hasan Dag, Samira Talebi, Mehmet Unal:
A Novel Blockchain-Based Deepfake Detection Method Using Federated and Deep Learning Models. 1073-1091 - Hongtao Zhang, Dongbing Gu:
Deep Multi-task Learning for Animal Chest Circumference Estimation from Monocular Images. 1092-1102 - Jun Miao, Peng Liu, Chen Chen, Yuanhua Qiao:
Normal Template Mapping: An Association-Inspired Handwritten Character Recognition Model. 1103-1112 - Feiyu Zhang, Ruiming Hu, Guiduo Duan, Tianxi Huang:
Enhancing Document-Level Relation Extraction with Attention-Convolutional Hybrid Networks and Evidence Extraction. 1113-1124 - Longji Wang, Zhiyue Yan, Wenming Cao, Jianhua Ji:
MFCTrans: Multi-scale Feature Connection Transformer for Deformable Medical Image Registration. 1125-1140 - Truong Dang, Tien Thanh Nguyen, John A. W. McCall, Eyad Elyan, Carlos Francisco Moreno-García:
Two-layer Ensemble of Deep Learning Models for Medical Image Segmentation. 1141-1160 - Jie Lin, Xiangyu Zeng, Yulong Pan, Shangqing Ren, Yige Bao:
Intelligent Inspection Guidance of Urethral Endoscopy Based on SLAM with Blood Vessel Attentional Features. 1161-1175 - Haider Ali, Mingzhao Wang, Juanying Xie:
CIL-Net: Densely Connected Context Information Learning Network for Boosting Thyroid Nodule Segmentation Using Ultrasound Images. 1176-1197 - Ismail Cantürk, Osman Günay:
Investigation of Scalograms with a Deep Feature Fusion Approach for Detection of Parkinson's Disease. 1198-1209 - Liangliang Lou, Ruyin Cai, Mingan Lu, Mingmin Wang, Guang Chen:
A Novel Method for Human-Vehicle Recognition Based on Wireless Sensing and Deep Learning Technologies. 1210-1220 - Jing Wang, Nasir Saleem, Teddy Surya Gunawan:
Towards Efficient Recurrent Architectures: A Deep LSTM Neural Network Applied to Speech Enhancement and Recognition. 1221-1236 - Vincenzo Carandente, Giancarlo Sperlí:
Harnessing Cognitively Inspired Predictive Models to Improve Investment Decision-Making. 1237-1252 - José Manuel Hidalgo Rogel, Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Sergio López Bernal, Gregorio Martínez Pérez, Alberto Huertas Celdrán:
Studying Drowsiness Detection Performance While Driving Through Scalable Machine Learning Models Using Electroencephalography. 1253-1267 - Najwa Kouka, Rahma Fourati, Asma Baghdadi, Patrick Siarry, Mohamed Adel Alimi:
A Mutual Information-Based Many-Objective Optimization Method for EEG Channel Selection in the Epileptic Seizure Prediction Task. 1268-1286 - Abbas Pourhedayat, Marzie Aghababaeipour Dehkordi, Mohammad Reza Daliri:
Motion Selectivity of the Local Filed Potentials in the Primary Visual Cortex of Rats: A Machine Learning Approach. 1287-1299 - Md. Easin Arafat, Md. Wakil Ahmad, S. M. Shovan, Towhid Ul Haq, Nazrul Islam, Mufti Mahmud, M. Shamim Kaiser:
Accurate Prediction of Lysine Methylation Sites Using Evolutionary and Structural-Based Information. 1300-1320 - Amjad Rehman, Khalid Haseeb, Teg Alam, Tanzila Saba, Gwanggil Jeon:
A Novel Resilient and Intelligent Predictive Model for CPS-Enabled E-Health Applications. 1321-1330 - Cosimo Ieracitano, Francesco Carlo Morabito, Stefano Squartini, Kaizhu Huang, Xuelong Li, Mufti Mahmud:
Guest Editorial: Advances in Deep Learning for Clinical and Healthcare Applications. 1331-1333 - Zeineb Fki, Boudour Ammar, Mounir Ben Ayed:
Towards Automated Optimization of Residual Convolutional Neural Networks for Electrocardiogram Classification. 1334-1344 - Marzieh Soltani, Mehdi Khashei, Negar Bakhtiarvand:
A Novel Discrete Deep Learning-Based Cancer Classification Methodology. 1345-1363 - Trishita Dhara, Pawan Kumar Singh, Mufti Mahmud:
A Fuzzy Ensemble-Based Deep learning Model for EEG-Based Emotion Recognition. 1364-1378 - Nima Sadeghzadeh, Nacer Farajzadeh, Novia Dattatri, Bianca P. Acevedo:
SPS Vision Net: Measuring Sensory Processing Sensitivity via an Artificial Neural Network. 1379-1392 - Tawsifur Rahman, Amith Khandakar, Ashiqur Rahman, Susu M. Zughaier, Muna Al Maslamani, Moajjem Hossain Chowdhury, Anas M. Tahir, Md Sakib Abrar Hossain, Muhammad E. H. Chowdhury:
TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images. 1393-1412 - Rusab Sarmun, Muhammad E. H. Chowdhury, M. Murugappan, Ahmed Aqel, Maymouna Ezzuddin, Syed Mahfuzur Rahman, Amith Khandakar, Sanzida Akter, Rashad Alfkey, Anwarul Hasan:
Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization. 1413-1431
Volume 16, Number 4, July 2024
- Vassilis Cutsuridis:
Neuromorphic Cognitive Learning Systems: The Future of Artificial Intelligence? 1433-1435 - Noemi Scarpato, Aria Nourbakhsh, Patrizia Ferroni, Silvia Riondino, Mario Roselli, Francesca Fallucchi, Piero Barbanti, Fiorella Guadagni, Fabio Massimo Zanzotto:
Evaluating Explainable Machine Learning Models for Clinicians. 1436-1446 - Alireza Momenzadeh, Enzo Baccarelli, Michele Scarpiniti, Sima Sarv Ahrabi:
Multi-resolution Twinned Residual Auto-Encoders (MR-TRAE) - A Novel DL Model for Image Multi-resolution. 1447-1469 - Jingyu Sun, Lixiang Li, Haipeng Peng, Yin Meng:
A Novel Memristors Based Echo State Network Model Inspired by the Brain's Uni-hemispheric Slow-Wave Sleep Characteristics. 1470-1483 - Zhiqiong Wang, Qi Chen, Zhongyang Wang, Xinlei Wang, Luxuan Qu, Junchang Xin:
CPD-NSL: A Two-Stage Brain Effective Connectivity Network Construction Method Based on Dynamic Bayesian Network. 1484-1503 - Xianxun Zhu, Chaopeng Guo, Heyang Feng, Yao Huang, Yichen Feng, Xiangyang Wang, Rui Wang:
A Review of Key Technologies for Emotion Analysis Using Multimodal Information. 1504-1530 - Cuc Duong, Vethavikashini Chithrra Raghuram, Amos Lee, Rui Mao, Gianmarco Mengaldo, Erik Cambria:
Neurosymbolic AI for Mining Public Opinions about Wildfires. 1531-1553 - Wang Zou, Wubo Zhang, Wenhuan Wu, Zhuoyan Tian:
A Multi-task Shared Cascade Learning for Aspect Sentiment Triplet Extraction Using BERT-MRC. 1554-1571 - Diego García-Gil, Salvador García, Ning Xiong, Francisco Herrera:
Smart Data Driven Decision Trees Ensemble Methodology for Imbalanced Big Data. 1572-1588 - Abdullahi Umar Ibrahim, Mehmet Ozsoz, Sertan Serte, Fadi M. Al-Turjman, Polycarp Shizawaliyi Yakoi:
Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19. 1589-1601 - Nour Eldeen Mahmoud Khalifa, Florentin Smarandache, Gunasekaran Manogaran, Mohamed Loey:
A Study of the Neutrosophic Set Significance on Deep Transfer Learning Models: an Experimental Case on a Limited COVID-19 Chest X-ray Dataset. 1602-1611 - Aytürk Keles, Mustafa Berk Keles, Ali Keles:
COV19-CNNet and COV19-ResNet: Diagnostic Inference Engines for Early Detection of COVID-19. 1612-1622 - Anita Garhwal, M. Bunruangses, Arumona Edward Arumona, Phichai Youplao, Kanad Ray, Senee Suwandee, Preecha P. Yupapin:
Integrating Metamaterial Antenna Node and LiFi for Privacy Preserving Intelligent COVID-19 Hospital Patient Management. 1623-1636 - Bo Wang, Lin Jiang:
Principal Component Analysis Applications in COVID-19 Genome Sequence Studies. 1637-1648 - Yudong Zhang, Suresh Chandra Satapathy, Xin Zhang, Shui-Hua Wang:
COVID-19 Diagnosis via DenseNet and Optimization of Transfer Learning Setting. 1649-1665 - Tripti Goel, R. Murugan, Seyedali Mirjalili, Deba Kumar Chakrabartty:
Automatic Screening of COVID-19 Using an Optimized Generative Adversarial Network. 1666-1681 - Shatadru Majumdar, Soumik Kumar Nandi, Shuvam Ghosal, Bavrabi Ghosh, Writam Mallik, Nilanjana Dutta Roy, Arindam Biswas, Subhankar Mukherjee, Souvik Pal, Nabarun Bhattacharyya:
Deep Learning-Based Potential Ligand Prediction Framework for COVID-19 with Drug-Target Interaction Model. 1682-1694 - Himadri Mukherjee, Subhankar Ghosh, Ankita Dhar, Sk Md Obaidullah, KC Santosh, Kaushik Roy:
Shallow Convolutional Neural Network for COVID-19 Outbreak Screening Using Chest X-rays. 1695-1708 - Khandaker Tabin Hasan, M. Mostafizur Rahman, Md. Mortuza Ahmmed, Anjir Ahmed Chowdhury, Mohammad Khairul Islam:
4P Model for Dynamic Prediction of COVID-19: a Statistical and Machine Learning Approach. 1709-1722 - Md. Salman Shamil, Farhanaz Farheen, Nabil Ibtehaz, Irtesam Mahmud Khan, M. Sohel Rahman:
An Agent-Based Modeling of COVID-19: Validation, Analysis, and Recommendations. 1723-1734 - Sejuti Rahman, Sujan Sarker, Md Abdullah Al Miraj, Ragib Amin Nihal, A. K. M. Nadimul Haque, Abdullah Al Noman:
Deep Learning-Driven Automated Detection of COVID-19 from Radiography Images: a Comparative Analysis. 1735-1764 - Asu Kumar Singh, Anupam Kumar, Mufti Mahmud, M. Shamim Kaiser, Akshat Kishore:
COVID-19 Infection Detection from Chest X-Ray Images Using Hybrid Social Group Optimization and Support Vector Classifier. 1765-1777 - Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar, Somaya Al-Madeed, Susu M. Zughaier, Suhail A. R. Doi, Hanadi Hassen, Mohammad Tariqul Islam:
An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning. 1778-1793 - Daniela A. Gomez-Cravioto, Ramon E. Diaz-Ramos, Francisco J. Cantú Ortiz, Hector G. Ceballos:
Data Analysis and Forecasting of the COVID-19 Spread: A Comparison of Recurrent Neural Networks and Time Series Models. 1794-1805 - Hüseyin Yasar, Murat Ceylan:
Deep Learning-Based Approaches to Improve Classification Parameters for Diagnosing COVID-19 from CT Images. 1806-1833 - Veda C. Storey, Daniel E. O'Leary:
Text Analysis of Evolving Emotions and Sentiments in COVID-19 Twitter Communication. 1834-1857 - Musatafa Abbas Abbood Albadr, Sabrina Tiun, Masri Ayob, Fahad Taha AL-Dhief:
Particle Swarm Optimization-Based Extreme Learning Machine for COVID-19 Detection. 1858-1873 - Dong Qiu, Yang Yu, Lei Chen:
Emotion Analysis of COVID-19 Vaccines Based on a Fuzzy Convolutional Neural Network. 1874-1888 - Kirti Raj Bhatele, Anand Jha, Devanshu Tiwari, Mukta Bhatele, Sneha Sharma, Muktasha R. Mithora, Stuti Singhal:
COVID-19 Detection: A Systematic Review of Machine and Deep Learning-Based Approaches Utilizing Chest X-Rays and CT Scans. 1889-1926 - Jawad Ahmad Dar, Kamal Kr. Srivastava, Sajaad Ahmed Lone:
Optimization Based Deep Learning for COVID-19 Detection Using Respiratory Sound Signals. 1927-1946 - Kedar Nath Singh, Om Prakash Singh, Amit Kumar Singh, Amrit Kumar Agrawal:
WatMIF: Multimodal Medical Image Fusion-Based Watermarking for Telehealth Applications. 1947-1963 - Mahmoud Hassaballah, Eman Salem, Abdel-Magid M. Ali, Mountasser M. M. Mahmoud:
Deep Recurrent Regression with a Heatmap Coupling Module for Facial Landmarks Detection. 1964-1978 - Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, Shokofeh Anari, Sadaf Safavi, Nazanin Tataei Sarshar, Erfan Babaee Tirkolaee, Malika Bendechache:
A Deep Learning Approach for Robust, Multi-oriented, and Curved Text Detection. 1979-1991 - Shradha Verma, Tripti Goel, M. Tanveer:
Quantitative Susceptibility Mapping in Cognitive Decline: A Review of Technical Aspects and Applications. 1992-2008 - Shanchen Pang, Yu Zhuang, Sibo Qiao, Fuyu Wang, Shudong Wang, Zhihan Lv:
DCTGM: A Novel Dual-channel Transformer Graph Model for miRNA-disease Association Prediction. 2009-2018 - P. Supriya Patro, Tripti Goel, S. A VaraPrasad, Muhammad Tanveer, R. Murugan:
Lightweight 3D Convolutional Neural Network for Schizophrenia Diagnosis Using MRI Images and Ensemble Bagging Classifier. 2019-2035 - Jaber Alyami, Amjad Rehman, Fahad Almutairi, Abdul Muiz Fayyaz, Sudipta Roy, Tanzila Saba, Alhassan Alkhurim:
Tumor Localization and Classification from MRI of Brain using Deep Convolution Neural Network and Salp Swarm Algorithm. 2036-2046 - Barenya Bikash Hazarika, Deepak Gupta, Bikram Kumar:
EEG Signal Classification Using a Novel Universum-Based Twin Parametric-Margin Support Vector Machine. 2047-2062 - Hao Li, Yang Nan, Javier Del Ser, Guang Yang:
Large-Kernel Attention for 3D Medical Image Segmentation. 2063-2077 - Nikita Aggarwal, Barjinder Singh Saini, Savita Gupta:
Role of Artificial Intelligence Techniques and Neuroimaging Modalities in Detection of Parkinson's Disease: A Systematic Review. 2078-2115 - Qi Wang, Hang Lei, Gun Li, Xupeng Wang, Lu Chen:
A Novel Convolutional Neural Network for Head Detection and Pose Estimation in Complex Environments from Single-Depth Images. 2116-2129
Volume 16, Number 5, September 2024
- Jose A. Fernandez-Leon, Gerardo G. Acosta:
Uncovering the Secrets of the Concept of Place in Cognitive Maps Aided by Artificial Intelligence. 2334-2344 - Malte Schilling, Barbara Hammer, Frank W. Ohl, Helge J. Ritter, Laurenz Wiskott:
Modularity in Nervous Systems - a Key to Efficient Adaptivity for Deep Reinforcement Learning. 2358-2373 - Joseph D. Monaco, Grace M. Hwang:
Neurodynamical Computing at the Information Boundaries of Intelligent Systems. 1-13 - Juanjuan Ding, Chao Zhang, Deyu Li, Arun Kumar Sangaiah:
Hyperautomation for Air Quality Evaluations: A Perspective of Evidential Three-way Decision-making. 2437-2453 - Damien Depannemaecker, Léo Pio-Lopez, Christophe Gauld:
Does Deep Learning Have Epileptic Seizures? On the Modeling of the Brain. 2382-2388 - Jean-Philippe Thivierge, Éloïse Giraud, Michael Lynn:
Toward a Brain-Inspired Theory of Artificial Learning. 2374-2381 - Ali A. Minai:
Deep Intelligence: What AI Should Learn from Nature's Imagination. 2389-2404 - Javier Baladron, Fred H. Hamker:
Re-Thinking the Organization of Cortico-Basal Ganglia-Thalamo-Cortical Loops. 2405-2410 - Gregorio García-Aguilar:
The Strange and Promising Relationship Between EEG and AI Methods of Analysis. 2411-2419 - Jie Yang, Xiaoqi Wang, Guoyin Wang, Deyou Xia:
Constructing Three-Way Decision of Rough Fuzzy Sets from the Perspective of Uncertainties. 2454-2470 - Peter Stratton:
Convolutionary, Evolutionary, and Revolutionary: What's Next for Brains, Bodies, and AI? 2420-2427 - Tsvi Achler:
What AI, Neuroscience, and Cognitive Science Can Learn from Each Other: An Embedded Perspective. 2428-2436 - Gaurang Bansal, Vinay Chamola, Amir Hussain, Mohsen Guizani, Dusit Niyato:
Transforming Conversations with AI - A Comprehensive Study of ChatGPT. 2487-2510 - Pasquale Foggia, Antonio Greco, Antonio Roberto, Alessia Saggese, Mario Vento:
Identity, Gender, Age, and Emotion Recognition from Speaker Voice with Multi-task Deep Networks for Cognitive Robotics. 2713-2723 - Haosong Gou, Gaoyi Zhang, Elias P. Medeiros, Senthil Kumar Jagatheesaperumal, Victor Hugo C. de Albuquerque:
A Cognitive Medical Decision Support System for IoT-Based Human-Computer Interface in Pervasive Computing Environment. 2471-2486 - Mingfu Xiong, Hanmei Chen, Yi Wen, Abdul Khader Jilani Saudagar, Javier Del Ser, Khan Muhammad:
Person Re-identification with Spatial Multi-granularity Feature Exploration for Social Risk Situational Assessment. 2701-2712 - Radwa El Shawi:
ConceptGlassbox: Guided Concept-Based Explanation for Deep Neural Networks. 2660-2673 - Carmen De Maio, Giuseppe Fenza, Mariacristina Gallo, Vincenzo Loia, Alberto Volpe:
A Perceived Risk Index Leveraging Social Media Data: Assessing Severity of Fire on Microblogging. 2724-2734 - Saeed Hamood Alsamhi, Santosh Kumar, Ammar Hawbani, Alexey V. Shvetsov, Liang Zhao, Mohsen Guizani:
Synergy of Human-Centered AI and Cyber-Physical-Social Systems for Enhanced Cognitive Situation Awareness: Applications, Challenges and Opportunities. 2735-2755 - Valerio La Gatta, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlì:
An eXplainable Artificial Intelligence Methodology on Big Data Architecture. 2642-2659 - Abhisek Tiwari, Swarna S, Sriparna Saha, Pushpak Bhattacharyya, Minakshi Dhar, Sarbajeet Tiwari:
Learning from Failure: Towards Developing a Disease Diagnosis Assistant That Also Learns from Unsuccessful Diagnoses. 2222-2240 - Tommaso Colafiglio, Carmelo Ardito, Paolo Sorino, Domenico Lofù, Fabrizio Festa, Tommaso Di Noia, Eugenio Di Sciascio:
NeuralPMG: A Neural Polyphonic Music Generation System Based on Machine Learning Algorithms. 2779-2802 - Mohammad Nadeem, Shahab Saquib Sohail, Laeeba Javed, Faisal Anwer, Abdul Khader Jilani Saudagar, Khan Muhammad:
Vision-Enabled Large Language and Deep Learning Models for Image-Based Emotion Recognition. 2566-2579 - Nishu Bansal, Ankit Vidyarthi:
DFootNet: A Domain Adaptive Classification Framework for Diabetic Foot Ulcers Using Dense Neural Network Architecture. 2511-2527 - Rahatara Ferdousi, Chunsheng Yang, M. Anwar Hossain, Fedwa Laamarti, M. Shamim Hossain, Abdulmotaleb El-Saddik:
Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Railway Defect Detection. 1-16 - Noman Khan, Samee Ullah Khan, Ahmed Farouk, Sung Wook Baik:
Generative Adversarial Network-Assisted Framework for Power Management. 2596-2610 - Sunder Ali Khowaja, Parus Khuwaja, Kapal Dev, Weizheng Wang, Lewis Nkenyereye:
ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review. 2528-2550 - Asma Belhadi, Youcef Djenouri, Fabio Augusto de Alcantara Andrade, Gautam Srivastava:
Federated Constrastive Learning and Visual Transformers for Personal Recommendation. 2551-2565 - Senthil Kumar Jagatheesaperumal, Mohammad Mehedi Hassan, Md. Rafiul Hassan, Giancarlo Fortino:
The Duo of Visual Servoing and Deep Learning-Based Methods for Situation-Aware Disaster Management: A Comprehensive Review. 2756-2778 - Abiy Abinet Mamo, Bealu Girma Gebresilassie, Aniruddha Mukherjee, Vikas Hassija, Vinay Chamola:
Advancing Medical Imaging Through Generative Adversarial Networks: A Comprehensive Review and Future Prospects. 2131-2153 - Kanwal Aftab, Linda Tschirren, Boris Pasini, Peter Zeller, Bostan Khan, Muhammad Moazam Fraz:
Intelligent Fisheries: Cognitive Solutions for Improving Aquaculture Commercial Efficiency Through Enhanced Biomass Estimation and Early Disease Detection. 2241-2263 - Nijat Mehdiyev, Maxim Majlatow, Peter Fettke:
Counterfactual Explanations in the Big Picture: An Approach for Process Prediction-Driven Job-Shop Scheduling Optimization. 2674-2700 - Xiaofang Meng, Yu Fei, Zhouhong Li:
Quasi-projective Synchronization Control of Delayed Stochastic Quaternion-Valued Fuzzy Cellular Neural Networks with Mismatched Parameters. 2206-2221 - Moutaz Alazab, Ruba Abu Khurma, David Camacho, Alejandro Martín:
Enhanced Android Ransomware Detection Through Hybrid Simultaneous Swarm-Based Optimization. 2154-2168 - Hamid Jahani, Ali Asghar Safaei:
Efficient Deep Learning Approach for Diagnosis of Attention-Deficit/Hyperactivity Disorder in Children Based on EEG Signals. 2315-2330 - Liping Xie, Zhien Liu, Yi Sun, Yawei Zhu:
Investigating the Influence of Scene Video on EEG-Based Evaluation of Interior Sound in Passenger Cars. 2297-2314 - Asim Naveed, Syed Saud Naqvi, Shahzaib Iqbal, Imran Razzak, Haroon Ahmed Khan, Tariq Mahmood Khan:
RA-Net: Region-Aware Attention Network for Skin Lesion Segmentation. 2279-2296 - Yangling Wang, Jinde Cao, Chengdai Huang:
Effect of Leakage Delays on Bifurcation in Fractional-Order Bidirectional Associative Memory Neural Networks with Five Neurons and Discrete Delays. 2169-2184 - Mojdeh Nazari, Hassan Emami, Reza Rabiei, Azamossadat Hosseini, Shahabedin Rahmatizadeh:
Detection of Cardiovascular Diseases Using Data Mining Approaches: Application of an Ensemble-Based Model. 2264-2278 - Huiru Wang, Xiaoqing Hong, Siyuan Zhang:
Twin Bounded Support Vector Machine with Capped Pinball Loss. 2185-2205 - Shareeful Islam, Danish Javeed, Muhammad Shahid Saeed, Prabhat Kumar, Alireza Jolfaei, A. K. M. Najmul Islam:
Generative AI and Cognitive Computing-Driven Intrusion Detection System in Industrial CPS. 2611-2625 - Mahmuda Akter, Nour Moustafa, Benjamin P. Turnbull:
SPEI-FL: Serverless Privacy Edge Intelligence-Enabled Federated Learning in Smart Healthcare Systems. 2626-2641 - Asim Roy, Ali A. Minai, Jean-Philippe Thivierge, Tsvi Achler, Juyang Weng:
Editorial: What AI and Neuroscience Can Learn from Each Other - Open Problems in Models and Theories. 2331-2333
Volume 16, Number 6, November 2024
- Ziqin Zhao, Fan Lyu, Linyan Li, Fuyuan Hu, Minming Gu, Li Sun:
Towards Long-Term Remembering in Federated Continual Learning. 2803-2811 - Xu Xu, Chong Fu, David Camacho, Jong Hyuk Park, Junxin Chen:
Internet of Things for Emotion Care: Advances, Applications, and Challenges. 2812-2832 - Mengke Liu, Wenbing Zhang, Guanglei Wu:
Prescribed-Time Sampled-Data Control for the Bipartite Consensus of Linear Multi-Agent Systems in Singed Networks. 2833-2845 - Daniel Fernández-González:
Shift-Reduce Task-Oriented Semantic Parsing with Stack-Transformers. 2846-2862 - Zhenyu Zhou, Qinghua Zhang, Fan Zhao:
Scrutinizing Label: Contrastive Learning on Label Semantics and Enriched Representation for Relation Extraction. 2863-2877 - Huanhuan Zhang, Lei Wang, Yuxian Qu, Wei Li, Qiaoyong Jiang:
Enhanced Dynamic Key-Value Memory Networks for Personalized Student Modeling and Learning Ability Classification. 2878-2901 - Fen Lu, Guang-Hai Liu, Xiao-Zhi Gao:
Image Retrieval Using Multilayer Feature Aggregation Histogram. 2902-2915 - Huankun Sheng, Hongwei Mo, Tengteng Zhang:
A Novel Multimodal Generative Learning Model based on Basic Fuzzy Concepts. 2916-2930 - Jihene Tmamna, Emna Ben Ayed, Rahma Fourati, Mandar Gogate, Tughrul Arslan, Amir Hussain, Mounir Ben Ayed:
Pruning Deep Neural Networks for Green Energy-Efficient Models: A Survey. 2931-2952 - Guisheng Zhang, Mingliang Gao, Qilei Li, Wenzhe Zhai, Gwanggil Jeon:
Multi-Modal Generative DeepFake Detection via Visual-Language Pretraining with Gate Fusion for Cognitive Computation. 2953-2966 - Shitharth Selvarajan, Hariprasath Manoharan, Rakan A. Alsowail, Achyut Shankar, Saravanan Pandiaraj, Carsten Maple, Wattana Viriyasitavat:
Cognitive Intelligent Decisions for Big Data and Cloud Computing in Industrial Applications using Trifold Algorithms. 2967-2981 - Rana Alabdan, Jamal M. Alsamri, Siwar Ben Haj Hassine, Faiz Abdullah Alotaibi, Saud S. Alotaibi, Ayman Yafoz, Mrim M. Alnfiai, Mesfer Al Duhayyim:
Unmasking GAN-Generated Faces with Optimal Deep Learning and Cognitive Computing-Based Cutting-Edge Detection System. 2982-2998 - Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella:
Explainable Histopathology Image Classification with Self-organizing Maps: A Granular Computing Perspective. 2999-3019 - Xulang Zhang, Rui Mao, Erik Cambria:
Granular Syntax Processing with Multi-Task and Curriculum Learning. 3020-3034 - Alessandro Castelnovo, Riccardo Crupi, Nicolò Mombelli, Gabriele Nanino, Daniele Regoli:
Evaluative Item-Contrastive Explanations in Rankings. 3035-3050 - Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini:
Federated Learning of XAI Models in Healthcare: A Case Study on Parkinson's Disease. 3051-3076 - Mirko Cesarini, Lorenzo Malandri, Filippo Pallucchini, Andrea Seveso, Frank Xing:
Explainable AI for Text Classification: Lessons from a Comprehensive Evaluation of Post Hoc Methods. 3077-3095 - Abhijit Saha, Svetlana Dabic-Miletic, Tapan Senapati, Vladimir Simic, Dragan Pamucar, Ali Ala, Leena Arya:
Fermatean Fuzzy Dombi Generalized Maclaurin Symmetric Mean Operators for Prioritizing Bulk Material Handling Technologies. 3096-3121 - Adel Fahad Alrasheedi, Arunodaya Raj Mishra, Ahmad M. Alshamrani, Pratibha Rani, Dragan Pamucar:
Decision-Analytics-Based Risk Allocation in the Micromobility Sector: Sugeno-Weber Operators and Picture Fuzzy Distance Methodology. 3122-3148 - Wenhui Bai, Chao Zhang, Yanhui Zhai, Arun Kumar Sangaiah, Baoli Wang, Wentao Li:
Cognitive Analysis of Medical Decision-Making: An Extended MULTIMOORA-Based Multigranulation Probabilistic Model with Evidential Reasoning. 3149-3167 - Moein Shahiki Tash, Zahra Ahani, Mohim Tash, Olga Kolesnikova, Grigori Sidorov:
Analyzing Emotional Trends from X Platform Using SenticNet: A Comparative Analysis with Cryptocurrency Price. 3168-3185 - Raveendra Pilli, Tripti Goel, R. Murugan, M. Tanveer:
Brain Age Estimation Using Universum Learning-Based Kernel Random Vector Functional Link Regression Network. 3186-3199 - Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said:
Cognitively Inspired Three-Way Decision Making and Bi-Level Evolutionary Optimization for Mobile Cybersecurity Threats Detection: A Case Study on Android Malware. 3200-3227 - Yandan Zheng, Luu Anh Tuan:
Incorporating Template-Based Contrastive Learning into Cognitively Inspired, Low-Resource Relation Extraction. 3228-3240 - Yonglong Jiang, Jiahe Zhu, Liangliang Li, Hongbing Ma:
A Joint Network for Low-Light Image Enhancement Based on Retinex. 3241-3259 - Ghous Ali, Nimra Lateef, Muhammad Usman Zia, Tehseen Abbas:
A Novel Cognitive Rough Approach for Severity Analysis of Autistic Children Using Spherical Fuzzy Bipolar Soft Sets. 3260-3285 - Vinay Chamola, Siva Sai, Animesh Bhargava, Ashis Sahu, Wenchao Jiang, Zehui Xiong, Dusit Niyato, Amir Hussain:
A Comprehensive Survey on Generative AI for Metaverse: Enabling Immersive Experience. 3286-3315 - Rui Mao, Qian Liu, Xiao Li, Erik Cambria, Amir Hussain:
Guest Editorial: Cognitive Analysis for Humans and AI. 3316-3318 - Krishna Raj S. R, Srinivasa Chakravarthy V, Anindita Sahoo:
From Pixels to Prepositions: Linking Visual Perception with Spatial Prepositions Far and Near. 3319-3343 - Yuetong Chen, Mingrui Zhou, Fengming Liu:
A Consensus Model with Non-Cooperative Behavior Adaptive Management Based on Cognitive Psychological State Computation in Large-Scale Group Decision. 3344-3363 - Jiaqi Song, Haodong Huang, Jiarui Liu, Jiani Wu, Yingxi Chen, Lisong Wang, Fuxin Zhong, Xiaoqin Wang, Zihan Lin, Mengyu Yan, Wenbo Zhang, Xintong Liu, Xinyi Tang, Yang Lü, Weihua Yu:
Diagnostic Potential of Eye Movements in Alzheimer's Disease via a Multiclass Machine Learning Model. 3364-3378 - Zhirui Zeng, Jialing He, Tao Xiang, Ning Wang, Biwen Chen, Shangwei Guo:
Cognitive Tracing Data Trails: Auditing Data Provenance in Discriminative Language Models Using Accumulated Discrepancy Score. 3379-3390 - Hongcai Xu, Junpeng Bao, Qika Lin, Lifang Hou, Feng Chen:
Disentangling User Cognitive Intent with Causal Reasoning for Knowledge-Enhanced Recommendation. 3391-3404 - Iti Chaturvedi, Vlad Pandelea, Erik Cambria, Roy E. Welsch, Bithin Datta:
Barrier Function to Skin Elasticity in Talking Head. 3405-3416 - Yuzhao Chen, Wenhua Zhu, Weilun Yu, Hongfei Xue, Hao Fu, Jiali Lin, Dazhi Jiang:
Prompt Learning for Multimodal Intent Recognition with Modal Alignment Perception. 3417-3428 - Qian Liu, Sooji Han, Erik Cambria, Yang Li, Kenneth Kwok:
PrimeNet: A Framework for Commonsense Knowledge Representation and Reasoning Based on Conceptual Primitives. 3429-3456 - Xi Dan, Wenjie Yang, Fuyan Zhang, Yihang Zhou, Zhuojun Yu, Zhen Qiu, Boyuan Zhao, Zeyu Dong, Libo Huang, Chuanguang Yang:
PDD: Pruning Neural Networks During Knowledge Distillation. 3457-3467 - Xinzhi Wang, Mengyue Li, Hang Yu, Chenyang Wang, Vijayan Sugumaran, Hui Zhang:
Enhancing Pre-trained Deep Learning Model with Self-Adaptive Reflection. 3468-3483 - Peijin Xie, Bingquan Liu:
Probing Fundamental Visual Comprehend Capabilities on Vision Language Models via Visual Phrases from Structural Data. 3484-3504 - Rui Lin, Jing Fan, Yinglong He, Yehui Yang, Jia Li, Cunhan Guo:
Multi-View Cooperative Learning with Invariant Rationale for Document-Level Relation Extraction. 3505-3517 - Xieling Chen, Haoran Xie, S. Joe Qin, Yaping Chai, Xiaohui Tao, Fu Lee Wang:
Cognitive-Inspired Deep Learning Models for Aspect-Based Sentiment Analysis: A Retrospective Overview and Bibliometric Analysis. 3518-3556
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-10-31 00:56 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
