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ORCIDInformation Fusion, Volume 92
Volume 92, April 2023
- Chengjin Yu, Shuang Li, Dhanjoo N. Ghista, Zhifan Gao, Heye Zhang
, Javier Del Ser, Lin Xu:
Multi-level multi-type self-generated knowledge fusion for cardiac ultrasound segmentation. 1-12 - Lisheng Xu, Haoran Zhang, Jiaole Wang, Ang Li, Shuang Song, Hongliang Ren, Lin Qi, Jason Jianjun Gu, Max Q.-H. Meng:
Information loss challenges in surgical navigation systems: From information fusion to AI-based approaches. 13-36 - Kyeonghun Kim, Sanghyun Park:
AOBERT: All-modalities-in-One BERT for multimodal sentiment analysis. 37-45 - Qiang Gao, Wei Wang, Li Huang, Xin Yang, Tianrui Li, Hamido Fujita:
Dual-grained human mobility learning for location-aware trip recommendation with spatial-temporal graph knowledge fusion. 46-63 - Xiaohong W. Gao, Stephen Taylor, Wei Pang, Rui Hui, Xin Lu, Barbara Braden:
Fusion of colour contrasted images for early detection of oesophageal squamous cell dysplasia from endoscopic videos in real time. 64-79 - Chunyang Cheng, Tianyang Xu, Xiaojun Wu:
MUFusion: A general unsupervised image fusion network based on memory unit. 80-92 - Ge Zheng, Wei Koong Chai, Jing-Lin Duanmu, Vasilis Katos:
Hybrid deep learning models for traffic prediction in large-scale road networks. 93-114 - Matthew Beechey, Sangarapillai Lambotharan, Konstantinos G. Kyriakopoulos:
Evidential classification for defending against adversarial attacks on network traffic. 115-126 - Xingyu Hu, Junjun Jiang, Xianming Liu, Jiayi Ma:
ZMFF: Zero-shot multi-focus image fusion. 127-138 - Jifei Miao, Kit Ian Kou, Dong Cheng, Wankai Liu:
Quaternion higher-order singular value decomposition and its applications in color image processing. 139-153 - Leander Weber, Sebastian Lapuschkin, Alexander Binder, Wojciech Samek:
Beyond explaining: Opportunities and challenges of XAI-based model improvement. 154-176 - Lu Liu, Fengqiao Wang, Cheolkon Jung:
LRINet: Long-range imaging using multispectral fusion of RGB and NIR images. 177-189 - Yuqi Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, Suparna De, Amir Hussain:
Fusing external knowledge resources for natural language understanding techniques: A survey. 190-204 - Chen Chen, Bin Song, Jie Guo, Tong Zhang:
Multi-dimensional shared representation learning with graph fusion network for Session-based Recommendation. 205-215 - Muhammad Hassan Khan, Muhammad Shahid Farid, Marcin Grzegorzek:
A comprehensive study on codebook-based feature fusion for gait recognition. 216-230 - Tianlin Zhang, Kailai Yang, Shaoxiong Ji, Sophia Ananiadou:
Emotion fusion for mental illness detection from social media: A survey. 231-246 - Olivér Töro, Tamás Bécsi:
Analytic solution of the exact Daum-Huang flow equation for particle filters. 247-255 - Alejandro Figueroa:
Refining fine-tuned transformers with hand-crafted features for gender screening on question-answering communities. 256-267 - Mina Han, Kailong Yu, Junhui Qiu, Hao Li, Dan Wu, Yujing Rao, Yang Yang, Lin Xing, Haicheng Bai, Chengjiang Zhou:
Boosting target-level infrared and visible image fusion with regional information coordination. 268-288 - Haiyan Wu, Chaogeng Huang, Shengchun Deng:
Improving aspect-based sentiment analysis with Knowledge-aware Dependency Graph Network. 289-299 - Hui Han, Xuyang Jing, Zheng Yan, Witold Pedrycz:
ExtendedSketch+: Super host identification and network host trust evaluation with memory efficiency and high accuracy. 300-312 - Reza Pebdani Babadian, Karim Faez, Mahmood Amiri, Egidio Falotico:
Fusion of tactile and visual information in deep learning models for object recognition. 313-325 - Jennifer J. Schnur, Nitesh V. Chawla:
Information fusion via symbolic regression: A tutorial in the context of human health. 326-335 - Yujing Rao, Dan Wu, Mina Han, Ting Wang, Yang Yang, Tao Lei, Chengjiang Zhou, Haicheng Bai, Lin Xing:
AT-GAN: A generative adversarial network with attention and transition for infrared and visible image fusion. 336-349 - Yuanpeng Zhang, Guanjin Wang, Xiuyu Huang, Weiping Ding:
TSK fuzzy system fusion at sensitivity-ensemble-level for imbalanced data classification. 350-362 - Nasir Rahim, Shaker H. Ali El-Sappagh, Sajid Ali, Khan Muhammad, Javier Del Ser, Tamer Abuhmed:
Prediction of Alzheimer's progression based on multimodal Deep-Learning-based fusion and visual Explainability of time-series data. 363-388 - Linhao Qu, Shaolei Liu, Manning Wang, Zhijian Song:
Rethinking multi-exposure image fusion with extreme and diverse exposure levels: A robust framework based on Fourier transform and contrastive learning. 389-403 - Taimur Hassan, Zhu Li, Muhammad Usman Akram, Irfan Hussain, Kinda Khalaf, Naoufel Werghi:
Angular contrastive distillation driven self-supervised scanner independent screening and grading of retinopathy. 404-419 - Bo Jiang, Jinxing Li, Huafeng Li, Ruxian Li, David Zhang, Guangming Lu:
Enhanced Frequency Fusion Network with Dynamic Hash Attention for image denoising. 420-434 - Antonio Pellicani, Gianvito Pio, Domenico Redavid, Michelangelo Ceci:
SAIRUS: Spatially-aware identification of risky users in social networks. 435-449 - K. Ruwani M. Fernando, Chris P. Tsokos:
Deep and statistical learning in biomedical imaging: State of the art in 3D MRI brain tumor segmentation. 450-465 - Fatima Hassan, Syed Fawad Hussain, Saeed Mian Qaisar:
Fusion of multivariate EEG signals for schizophrenia detection using CNN and machine learning techniques. 466-478 - Li Guo, Pengfei Shi, Long Chen, Chenglizhao Chen, Weiping Ding:
Pixel and region level information fusion in membership regularized fuzzy clustering for image segmentation. 479-497
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