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Publication search results
found 1,212 matches
- 2024
- Jun Wang, Marc Horlacher, Lixin Cheng, Ole Winther:
DeepLocRNA: an interpretable deep learning model for predicting RNA subcellular localization with domain-specific transfer-learning. Bioinform. 40(2) (2024) - Xiangbing Zhan, Huiyun Long, Fangfang Gou, Jia Wu:
A semantic fidelity interpretable-assisted decision model for lung nodule classification. Int. J. Comput. Assist. Radiol. Surg. 19(4): 625-633 (2024) - Xin Xu, Tao Ye, Jieying Gao, Dongxiao Chu:
Generalized hurdle count data models based on interpretable machine learning with an application to health care demand. Computing 106(2): 295-325 (2024) - Yidong Chai, Yi Liu, Weifeng Li, Bin Zhu, Hongyan Liu, Yuanchun Jiang:
An interpretable wide and deep model for online disinformation detection. Expert Syst. Appl. 237(Part B): 121588 (2024) - Danial Hooshyar, Yeongwook Yang:
ImageLM: Interpretable image-based learner modelling for classifying learners' computational thinking. Expert Syst. Appl. 238(Part E): 122283 (2024) - Salvin S. Prasad, Ravinesh C. Deo, Nathan J. Downs, David Casillas-Pérez, Sancho Salcedo-Sanz, Alfio V. Parisi:
Very short-term solar ultraviolet-A radiation forecasting system with cloud cover images and a Bayesian optimized interpretable artificial intelligence model. Expert Syst. Appl. 236: 121273 (2024) - Jing Zhang, Zhi Liu, Yaohua Pan, Hongfei Lin, Yi-Jia Zhang:
IMAEN: An interpretable molecular augmentation model for drug-target interaction prediction. Expert Syst. Appl. 238(Part C): 121882 (2024) - Yihui Qiu, Deepu Rajan:
A multivariate Markov chain model for interpretable dense action anticipation. Neurocomputing 574: 127285 (2024) - Boxu Guan, Xinhua Zhu, Shangbo Yuan:
A T5-based interpretable reading comprehension model with more accurate evidence training. Inf. Process. Manag. 61(2): 103584 (2024) - Ke Zhang, Wenning Hao, Xiaohan Yu, Tianhao Shao:
An interpretable image classification model Combining a fuzzy neural network with a variational autoencoder inspired by the human brain. Inf. Sci. 661: 119885 (2024) - Tomas M. Bosschieter, Zifei Xu, Hui Lan, Benjamin J. Lengerich, Harsha Nori, Ian S. Painter, Vivienne Souter, Rich Caruana:
Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes. J. Heal. Informatics Res. 8(1): 65-87 (2024) - Ricards Marcinkevics, Patricia Reis Wolfertstetter, Ugne Klimiene, Kieran Chin-Cheong, Alyssia Paschke, Julia Zerres, Markus Denzinger, David Niederberger, Sven Wellmann, Ece Ozkan, Christian Knorr, Julia E. Vogt:
Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis. Medical Image Anal. 91: 103042 (2024) - Yufeng Zhang, Jessica R. Golbus, Emily Wittrup, Keith D. Aaronson, Kayvan Najarian:
Enhancing heart failure treatment decisions: interpretable machine learning models for advanced therapy eligibility prediction using EHR data. BMC Medical Informatics Decis. Mak. 24(1): 53 (2024) - Simone Manti, Alessandro Lucantonio:
Discovering interpretable physical models using symbolic regression and discrete exterior calculus. Mach. Learn. Sci. Technol. 5(1): 15005 (2024) - Dengji Zhou, Dawen Huang, Yaoxin Shen, Shixi Ma, Yulin Wang:
An interpretable machine learning model for trajectory prediction based on nonlinear dynamics mechanism constraints: applications for HVs. Neural Comput. Appl. 36(8): 4083-4100 (2024) - Mariam Khayretdinova, Ilya Zakharov, Polina Pshonkovskaya, Timothy Adamovich, Andrey Kiryasov, Andrey Zhdanov, Alexey Shovkun:
Prediction of brain sex from EEG: using large-scale heterogeneous dataset for developing a highly accurate and interpretable ML model. NeuroImage 285: 120495 (2024) - Shuzhi Zhao, Guangyan Dai, Jingting Li, Xiaoxia Zhu, Xiyan Huang, Yongxue Li, Mingdan Tan, Lan Wang, Peng Fang, Xi Chen, Nan Yan, Hanjun Liu:
An interpretable model based on graph learning for diagnosis of Parkinson's disease with voice-related EEG. npj Digit. Medicine 7(1) (2024) - Naoya Kawamura, Wataru Sato, Koh Shimokawa, Tomohiro Fujita, Yasutomo Kawanishi:
Machine Learning-Based Interpretable Modeling for Subjective Emotional Dynamics Sensing Using Facial EMG. Sensors 24(5): 1536 (2024) - Yonghua Zhang, Xiaotong Tu, Saqlain Abbas, Hao Liang, Yue Huang, Xinghao Ding:
Learning to sound imaging by a model-based interpretable network. Signal Process. 215: 109281 (2024) - Gang Chen:
An interpretable composite CNN and GRU for fine-grained martial arts motion modeling using big data analytics and machine learning. Soft Comput. 28(3): 2223-2243 (2024) - Jianhua Liu, Xiaohe Ning, Mengchen Wang, Xinyu Wang, Yuan Liu, Xiaoyou Chen, Shiyi Zeng:
MSBR-GNet: A High-Resolution Imagery Generative Optimization Model for Building Rooftop Boundary Guided by Interpretable Statistical Model in Spatial and Spectral Domain. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 8164-8188 (2024) - Yalin Wang, Qingkai Sui, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Guangfeng Dong:
Interpretable Prediction Modeling for Froth Flotation via Stacked Graph Convolutional Network. IEEE Trans. Artif. Intell. 5(1): 334-345 (2024) - Hui Xiao, Wenshan Hu, Hong Zhou, Guo-Ping Liu:
Prediction-Based Power Consumption Monitoring of Industrial Equipment Using Interpretable Data-Driven Models. IEEE Trans Autom. Sci. Eng. 21(2): 1312-1322 (2024) - Dan Pan, Genqiang Luo, An Zeng, Chao Zou, Haolin Liang, Jianbin Wang, Tong Zhang, Baoyao Yang:
Adaptive 3DCNN-Based Interpretable Ensemble Model for Early Diagnosis of Alzheimer's Disease. IEEE Trans. Comput. Soc. Syst. 11(1): 247-266 (2024) - Giorgia Nadizar, Luigi Rovito, Andrea De Lorenzo, Eric Medvet, Marco Virgolin:
An Analysis of the Ingredients for Learning Interpretable Symbolic Regression Models with Human-in-the-loop and Genetic Programming. ACM Trans. Evol. Learn. Optim. 4(1): 5:1-5:30 (2024) - Sankar K. Pal, Dasari Arun Kumar, Saroj K. Meher:
GrI-CNN: Granulated Deep Learning Model With Interpretable Architecture for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - Shichao Li, Yi Sun, Hongli Gao, Xiaoqing Zhang, Jinzhou Lv:
An Interpretable Aerodynamic Identification Model for Hypersonic Wind Tunnels. IEEE Trans. Ind. Informatics 20(1): 12-22 (2024) - Fengshan Sun, Binghua Cao, Mengbao Fan, Bo Ye, Lin Liu:
THzMINet: A Terahertz Model-Data-Driven Interpretable Neural Network for Thickness Measurement of Thermal Barrier Coatings. IEEE Trans. Ind. Informatics 20(3): 4722-4734 (2024) - Tongtong Yan, Dong Wang, Yu Wang:
Discrimination- and Sparsity-Driven Weight-Oriented Optimization Model for Interpretable Initial Fault Detection and Fault Diagnosis. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - Xu Li, Jiaxing Shang, Linjiang Zheng, Qixing Wang, Dajiang Liu, Xiaodong Liu, Fan Li, Weiwei Cao, Hong Sun:
IMTCN: An Interpretable Flight Safety Analysis and Prediction Model Based on Multi-Scale Temporal Convolutional Networks. IEEE Trans. Intell. Transp. Syst. 25(1): 289-302 (2024)
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