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31-40 trong số 49 kết quả
Fluor-Predictor: An Interpretable Tool for Multiproperty Prediction and Retrieval of Fluorescent Dyes
Tác giả: Wenxiang Song, Le Xiong, Xinmin Li, Yuyang Zhang, Binya Wang, Guixia Liu, Weihua Li, Youjun Yang, Yun Tang
Xuất bản: United States: Journal of chemical information and modeling , 2025
Bộ sưu tập: NCBI
ddc:  347.411039
 
Interpretable machine learning reveals transport of aged microplastics in porous media: Multiple factors co-effect
Tác giả: Yifei Qiu, Jingyu Niu, Chuchu Zhang, Long Chen, Bo Su, Shenglu Zhou
Xuất bản: England: Water research , 2025
Bộ sưu tập: NCBI
ddc:  006.31
 
Fast Interpretable Greedy-Tree Sums
Tác giả: Yan Shuo Tan, Chandan Singh, Keyan Nasseri, Abhineet Agarwal, James Duncan, Omer Ronen, Matthew Epland, Aaron Kornblith, Bin Yu
Xuất bản: United States: Proceedings of the National Academy of Sciences of the United States of America , 2025
Bộ sưu tập: NCBI
ddc:  515.252
 
Cell Marker Accordion: interpretable single-cell and spatial omics annotation in health and disease
Tác giả: Emma Busarello, Giulia Biancon, Stefano Maria Marino, Vittorio Bontempi, Kristin R Aass, Jennifer VanOudenhove, Maria Caterina Mione, Therese Standal, Paolo Macchi, Gabriella Viero, Stephanie Halene, Toma Tebaldi, Ilaria Cimignolo, Fabio Lauria, Zuhairia Ibnat, Christian Ramirez, Gabriele Tomè, Marianna Ciuffreda, Giorgia Bucciarelli, Alessandro Pilli
Xuất bản: United States: bioRxiv : the preprint server for biology , 2025
Bộ sưu tập: NCBI
ddc:  004.33
 
GARNN: An interpretable graph attentive recurrent neural network for predicting blood glucose levels via multivariate time series
Tác giả: Chengzhe Piao, Taiyu Zhu, Stephanie E Baldeweg, Paul Taylor, Pantelis Georgiou, Jiahao Sun, Jun Wang, Kezhi Li
Xuất bản: United States: Neural networks : the official journal of the International Neural Network Society , 2025
Bộ sưu tập: NCBI
ddc:  006.31
 
Interpretable machine learning unveils key predictors and default values in an expanded database of human in vitro dermal absorption studies with pesticides
Tác giả: D Sarti, J Wagner, L Bertomeu, M Le Bras, F Palma, H Kalvan, M Giachini, D Lautenschalaeger, V Lupianhez, J Pires, M Sales, P Faria
Xuất bản: Netherlands: Regulatory toxicology and pharmacology : RTP , 2025
Bộ sưu tập: NCBI
ddc:  006.31
 
An interpretable machine learning model assists in predicting induction chemotherapy response and survival for locoregionally advanced nasopharyngeal carcinoma using MRI: a multicenter study
Tác giả: Hai Liao, Yang Zhao, Lei Xiao, Zhenyu Chen, Shaolu Lu, Danke Su, Bingfeng Lu, Linghui Pan, Wei Pei, Xia Huang, Shiting Huang, Wei Wei, Penghao Lai, Weifeng Jin, Huayan Bao, Xueli Liang
Xuất bản: Germany: European radiology , 2025
Bộ sưu tập: NCBI
ddc:  006.31
 
Interpretable Machine Learning to Predict the Malignancy Risk of Follicular Thyroid Neoplasms in Extremely Unbalanced Data: Retrospective Cohort Study and Literature Review
Tác giả: Rui Shan, Xin Li, Fang Mei, Shi-Bing Song, Bang-Kai Sun, Hui Tian, Yang Wang, Wu-Cai Xiao, Xiang-Yun Yao, Jing-Ming Ye, Bo Yu, Chun-Hui Yuan, Jing Chen, Fan Zhang, Zheng Liu, Zheng Chen, Yuan-Jia Cheng, Bo Han, Run-Ze Hu, Jiu-Ping Huang, Gui-Lan Kong, Hui Liu
Xuất bản: Canada: JMIR cancer , 2025
Bộ sưu tập: NCBI
ddc:  006.31
 
Interpretable machine learning-derived nomogram model for early detection of persistent diarrhea in Salmonella typhimurium enteritis: a propensity score matching based case-control study
Tác giả: Longteng Jin, Yucheng Huang, Jianan Xi, Lu Zhan, Haojie Jin, Yiping Chen, Maoping Chu
Xuất bản: England: BMC infectious diseases , 2025
Bộ sưu tập: NCBI
ddc:  006.31
 
Interpretable Artificial Intelligence for Analysing Changes in Gases in the Uterine Environment of Cows According to Physiological Structures in the Ovary
Tác giả: Ali Risvanli, Burak Tanyeri, Cebrail Barut, Mehmet Akif Kilinc, Güngör Yildirim, Yetkin Tatar, Mehmet Gedikpinar, Hakan Kalender, Tarik Safak, Burak Yuksel, Burcu Karagulle, Oznur Yilmaz
Xuất bản: England: Veterinary medicine and science , 2025
Bộ sưu tập: NCBI
ddc:  553.453
 

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