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ORCIDIntelligent Data Analysis, Volume 29
Volume 29, Number 1, 2025
- Editorial. 3-4
- Xin Wang, Yong Zhang, Junfeng Xu, Jun Gao:
A review on learning based image reflection removal algorithms. 5-27 - Raül Fabra-Boluda, Cèsar Ferri, José Hernández-Orallo, M. José Ramrez-Quintana, Fernando Martínez-Plumed:
Cracking black-box models: Revealing hidden machine learning techniques behind their predictions. 28-44 - Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Chongjun Wang:
LaplaceConfidence: A graph-based approach for learning with noisy labels. 45-58 - Xiangyi Lu, Feng Tian, Yumeng Shen, Xuejun Zhang:
Two-layer dynamic graph convolutional recurrent neural network for traffic flow prediction. 59-73 - Shi-tong Liu, Yong Liu, Jia-Ming Ding:
Products ranking through two-stage online customer reviews information. 74-93 - Dokyun Kim, Sukhyun Cho, Heewoong Chae, Jonghun Park, Jaeseok Huh:
Semi-supervised contrastive learning with decomposition-based data augmentation for time series classification. 94-115 - Haifei Zhang, Hongwei Ge, Ting Li, Lujie Zhou, Shuzhi Su, Yubing Tong:
Combining decomposition and graph capsule network for multi-objective vehicle routing optimization. 116-140 - Sharmiladevi S
, Siva Sathya S:
Spatio-temporal patterns assisted deep learning model for PM 2.5 prediction (STEEP). 141-155 - Silvia Carla Strada, Emanuele Costantini, Simone Formentin, Sergio M. Savaresi:
Machine learning based car accident risk prediction for usage-based insurance. 156-170 - Mustufa Haider Abidi, Neelu Khare, Preethi Devan, Hisham Alkhalefah, Usama Umer:
EFS-XGBoost: A robust framework for precision classification of COVID-19 cases. 171-185 - Muhammad Anwar, Zhiquan He, Wenming Cao:
Enhancing 3D medical image registration with cross attention, residual skips, and cascade attention. 186-201 - Vijay K, K. Jayashree:
Secureimagesec: A privacy-preserving framework for outsourced picture representation with content-based image retrieval. 202-219 - G. Megala, P. Swarnalatha:
Stacked collaborative transformer network with contrastive learning for video moment localization. 220-234 - Zhaolin Zhao, Kaiming Bo, Chih-Yu Hsu, Lyuchao Liao:
Lightweight unmanned aerial vehicle object detection algorithm based on improved YOLOv8. 235-252
Volume 29, Number 2, 2025
- José M. Peña:
Editorial. 255-256 - Xinyu He, Manfei Kan, Yonggong Ren:
HAGCN: A relation extraction model based on heterogeneous graph convolutional neural network and graph attention. 257-270 - Xiaoyong Li, Huimin Cheng, Sufang An, Yanjun Zhang, Yong Zhang:
ViSSR: A visual analytics system for student high-order social relationships at campus. 271-291 - Cairong Yan, Ziyang Zhu, Yiwei Zhang, Xiaopeng Guan, Yongquan Wan:
cd-MBRec: Enhancing multi-behavior recommendation by explicitly modeling commonality and diversity. 292-305 - Wei Weng, Fengxia Hou, Shengchao Gong, Fen Chen, Dongsheng Lin:
Attribute graph clustering via transformer and graph attention autoencoder. 306-319 - Priyanshi Sethi, Rhythm Bhardwaj, Nonita Sharma, Deepak Kumar Sharma, Gautam Srivastava:
A deep learning-based neural style transfer optimization approach. 320-331 - Wei Li:
Research on the artistic form and image expression effect of public sculpture based on intelligent and parametric design. 332-350 - Ziqian Ren, Yaling Xun, Jianghui Cai, Haifeng Yang:
Stable top-k periodic high-utility patterns mining over multi-sequence. 351-371 - Mohammed Shantal, Zalinda Othman, Azuraliza Abu Bakar:
Missing data imputation using correlation coefficient and min-max normalization weighting. 372-384 - Somenath Bera, Naushad Varish, Syed Irfan Yaqoob, Mudassir Rafi, Vimal K. Shrivastava:
Deep hierarchical spectral-spatial feature fusion for hyperspectral image classification based on convolutional neural network. 385-407 - Sachin Jain, Vishal Jain:
Machine learning and deep learning methods in brain tumor classification: A decade: Systematic literature review. 408-434 - Cp Thamilselvi, S. Vinoth Kumar, Renas Rajab Asaad, Punitha Puttu Swamy, Lakshmana Kumar Ramasamy:
An integrative framework for brain tumor segmentation and classification using neuraclassnet. 435-458 - A. V. S. Swetha, Manju Bala, Kapil Sharma:
A framework for classifying breast cancer via heterogenetic attention mechanism and optimized feature selection. 459-489 - Lingkai Kong, Boying Zhao, Hongyu Li, Wei He, You Cao, Guohui Zhou:
A medical assistant decision-making method based on interval belief rule base with explainability. 490-512 - M. Shyamala Devi, R. Aruna, Saman M. Almufti, P. Punitha, R. Lakshmana Kumar:
Bone feature quantization and systematized attention gate UNet-based deep learning framework for bone fracture classification. 513-538 - M. Anbarasan, K. Ramesh:
A pharmachain IoT with internal attack classification framework using PBFT-MI-RIB-RBF technique in healthcare. 539-559
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