Статті в журналах з теми "Multitask regression"
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Bernard, Elsa, Yunlong Jiao, Erwan Scornet, Veronique Stoven, Thomas Walter, and Jean-Philippe Vert. "Kernel Multitask Regression for Toxicogenetics." Molecular Informatics 36, no. 10 (September 26, 2017): 1700053. http://dx.doi.org/10.1002/minf.201700053.
Повний текст джерелаXin Gu, Fu-Lai Chung, Hisao Ishibuchi, and Shitong Wang. "Multitask Coupled Logistic Regression and its Fast Implementation for Large Multitask Datasets." IEEE Transactions on Cybernetics 45, no. 9 (September 2015): 1953–66. http://dx.doi.org/10.1109/tcyb.2014.2362771.
Повний текст джерелаTam, Clara M., Dong Zhang, Bo Chen, Terry Peters, and Shuo Li. "Holistic multitask regression network for multiapplication shape regression segmentation." Medical Image Analysis 65 (October 2020): 101783. http://dx.doi.org/10.1016/j.media.2020.101783.
Повний текст джерелаXu, Yong-Li, Di-Rong Chen, and Han-Xiong Li. "Least Square Regularized Regression for Multitask Learning." Abstract and Applied Analysis 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/715275.
Повний текст джерелаFan, Jianqing, Lingzhou Xue, and Hui Zou. "Multitask Quantile Regression Under the Transnormal Model." Journal of the American Statistical Association 111, no. 516 (October 1, 2016): 1726–35. http://dx.doi.org/10.1080/01621459.2015.1113973.
Повний текст джерелаGoncalves, Andre, Priyadip Ray, Braden Soper, David Widemann, Mari Nygård, Jan F. Nygård, and Ana Paula Sales. "Bayesian multitask learning regression for heterogeneous patient cohorts." Journal of Biomedical Informatics: X 4 (December 2019): 100059. http://dx.doi.org/10.1016/j.yjbinx.2019.100059.
Повний текст джерелаZhang, Linjuan, Jiaqi Shi, Lili Wang, and Changqing Xu. "Electricity, Heat, and Gas Load Forecasting Based on Deep Multitask Learning in Industrial-Park Integrated Energy System." Entropy 22, no. 12 (November 30, 2020): 1355. http://dx.doi.org/10.3390/e22121355.
Повний текст джерелаSchwab, David, Puneet Singla, and Sean O’Rourke. "Angles-Only Initial Orbit Determination via Multivariate Gaussian Process Regression." Electronics 11, no. 4 (February 15, 2022): 588. http://dx.doi.org/10.3390/electronics11040588.
Повний текст джерелаZhang, Heng-Chang, Qing Wu, Fei-Yan Li, and Hong Li. "Multitask Learning Based on Least Squares Support Vector Regression for Stock Forecast." Axioms 11, no. 6 (June 15, 2022): 292. http://dx.doi.org/10.3390/axioms11060292.
Повний текст джерелаRuiz, Carlos, Carlos M. Alaíz, and José R. Dorronsoro. "Multitask Support Vector Regression for Solar and Wind Energy Prediction." Energies 13, no. 23 (November 30, 2020): 6308. http://dx.doi.org/10.3390/en13236308.
Повний текст джерелаMajumdar, Subhabrata, and Snigdhansu Chatterjee. "Non-convex penalized multitask regression using data depth-based penalties." Stat 7, no. 1 (2018): e174. http://dx.doi.org/10.1002/sta4.174.
Повний текст джерелаLi, Yi, and A. Adam Ding. "Double‐structured sparse multitask regression with application of statistical downscaling." Environmetrics 30, no. 4 (October 22, 2018): e2534. http://dx.doi.org/10.1002/env.2534.
Повний текст джерелаShi, Meng, Yu Zheng, Youzhen Wu, and Quansheng Ren. "Multitask Attention-Based Neural Network for Intraoperative Hypotension Prediction." Bioengineering 10, no. 9 (August 31, 2023): 1026. http://dx.doi.org/10.3390/bioengineering10091026.
Повний текст джерелаRosli, Mohd Shafie, Nor Shela Saleh, Baharuddin Aris, Maizah Hura Ahmad, and Shaharuddin Md. Salleh. "Ubiquitous Hub for Digital Natives." International Journal of Emerging Technologies in Learning (iJET) 11, no. 02 (February 23, 2016): 29. http://dx.doi.org/10.3991/ijet.v11i02.4993.
Повний текст джерелаHuang, Xiaoying, Yun Tian, Shifeng Zhao, Tao Liu, Wei Wang, and Qingjun Wang. "Direct full quantification of the left ventricle via multitask regression and classification." Applied Intelligence 51, no. 8 (January 15, 2021): 5745–58. http://dx.doi.org/10.1007/s10489-020-02130-3.
Повний текст джерелаZhao, Sicheng, Hongxun Yao, Yue Gao, Rongrong Ji, and Guiguang Ding. "Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse Regression." IEEE Transactions on Multimedia 19, no. 3 (March 2017): 632–45. http://dx.doi.org/10.1109/tmm.2016.2617741.
Повний текст джерелаZhang, K., J. W. Gray, and B. Parvin. "Sparse multitask regression for identifying common mechanism of response to therapeutic targets." Bioinformatics 26, no. 12 (June 6, 2010): i97—i105. http://dx.doi.org/10.1093/bioinformatics/btq181.
Повний текст джерелаChen, Kai, Feng Huang, and Heming Zhang. "Fan Rotation Speed Real-Time Optimizations of Continuous Annealing Line with Mechanism-Guided Multitask Classification and Regression Model." Journal of Physics: Conference Series 2575, no. 1 (August 1, 2023): 012010. http://dx.doi.org/10.1088/1742-6596/2575/1/012010.
Повний текст джерелаForouzannezhad, Parisa, Dominic Maes, Daniel S. Hippe, Phawis Thammasorn, Reza Iranzad, Jie Han, Chunyan Duan, et al. "Multitask Learning Radiomics on Longitudinal Imaging to Predict Survival Outcomes following Risk-Adaptive Chemoradiation for Non-Small Cell Lung Cancer." Cancers 14, no. 5 (February 26, 2022): 1228. http://dx.doi.org/10.3390/cancers14051228.
Повний текст джерелаWistuba-Hamprecht, Jacqueline, Bernhard Reuter, Rolf Fendel, Stephen L. Hoffman, Joseph J. Campo, Philip L. Felgner, Peter G. Kremsner, Benjamin Mordmüller, and Nico Pfeifer. "Machine learning prediction of malaria vaccine efficacy based on antibody profiles." PLOS Computational Biology 20, no. 6 (June 7, 2024): e1012131. http://dx.doi.org/10.1371/journal.pcbi.1012131.
Повний текст джерелаLi, Jiafeng, Lixia Cao, and Guoliang Zhang. "Research on automatic matching of online mathematics courses and design of teaching activities based on multiobjective optimization algorithm." PeerJ Computer Science 9 (August 21, 2023): e1501. http://dx.doi.org/10.7717/peerj-cs.1501.
Повний текст джерелаHe, Dan, David Kuhn, and Laxmi Parida. "Novel applications of multitask learning and multiple output regression to multiple genetic trait prediction." Bioinformatics 32, no. 12 (June 15, 2016): i37—i43. http://dx.doi.org/10.1093/bioinformatics/btw249.
Повний текст джерелаXu, Beilei, Wencheng Wu, Lei Lin, Rachel Melnyk, and Ahmed Ghazi. "Task Evoked Pupillary Response for Surgical Task Difficulty Prediction via Multitask Learning." Electronic Imaging 2021, no. 3 (June 18, 2021): 109–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.3.mobmu-109.
Повний текст джерелаLewin, Collin, Erin Kara, Dan Wilkins, Guglielmo Mastroserio, Javier A. García, Rachel C. Zhang, William N. Alston, et al. "X-Ray Reverberation Mapping of Ark 564 Using Gaussian Process Regression." Astrophysical Journal 939, no. 2 (November 1, 2022): 109. http://dx.doi.org/10.3847/1538-4357/ac978f.
Повний текст джерелаNing, Shuluo, and Hyunsoo Yoon. "A New Model for Building Energy Modeling and Management Using Predictive Analytics: Partitioned Hierarchical Multitask Regression (PHMR)." Indoor Air 2024 (March 11, 2024): 1–11. http://dx.doi.org/10.1155/2024/5595459.
Повний текст джерелаSu, Zhibin, Shige Lin, Luyue Zhang, Yiming Feng, and Wei Jiang. "Multitask Learning-Based Affective Prediction for Videos of Films and TV Scenes." Applied Sciences 14, no. 11 (May 22, 2024): 4391. http://dx.doi.org/10.3390/app14114391.
Повний текст джерелаZhang, Heng-Chang, Qing Wu, and Fei-Yan Li. "Application of online multitask learning based on least squares support vector regression in the financial market." Applied Soft Computing 121 (May 2022): 108754. http://dx.doi.org/10.1016/j.asoc.2022.108754.
Повний текст джерелаLin, Zhaozhou, Qiao Zhang, Shengyun Dai, and Xiaoyan Gao. "Discovering Temporal Patterns in Longitudinal Nontargeted Metabolomics Data via Group and Nuclear Norm Regularized Multivariate Regression." Metabolites 10, no. 1 (January 13, 2020): 33. http://dx.doi.org/10.3390/metabo10010033.
Повний текст джерелаHong, Danfeng, Naoto Yokoya, Jocelyn Chanussot, Jian Xu, and Xiao Xiang Zhu. "Learning to propagate labels on graphs: An iterative multitask regression framework for semi-supervised hyperspectral dimensionality reduction." ISPRS Journal of Photogrammetry and Remote Sensing 158 (December 2019): 35–49. http://dx.doi.org/10.1016/j.isprsjprs.2019.09.008.
Повний текст джерелаDaniels, John, Pau Herrero, and Pantelis Georgiou. "A Deep Learning Framework for Automatic Meal Detection and Estimation in Artificial Pancreas Systems." Sensors 22, no. 2 (January 8, 2022): 466. http://dx.doi.org/10.3390/s22020466.
Повний текст джерелаPrzybyła, Piotr, Austin J. Brockmeier, and Sophia Ananiadou. "Quantifying risk factors in medical reports with a context-aware linear model." Journal of the American Medical Informatics Association 26, no. 6 (March 6, 2019): 537–46. http://dx.doi.org/10.1093/jamia/ocz004.
Повний текст джерелаLucena, André, Joana Guedes, Mário Vaz, Luiz Silva, Denisse Bustos, and Erivaldo Souza. "Modeling Energy Expenditure Estimation in Occupational Context by Actigraphy: A Multi Regression Mixed-Effects Model." International Journal of Environmental Research and Public Health 18, no. 19 (October 3, 2021): 10419. http://dx.doi.org/10.3390/ijerph181910419.
Повний текст джерелаWang, Shaofeng, Shuang Liang, Qiao Chang, Li Zhang, Beiwen Gong, Yuxing Bai, Feifei Zuo, Yajie Wang, Xianju Xie, and Yu Gu. "STSN-Net: Simultaneous Tooth Segmentation and Numbering Method in Crowded Environments with Deep Learning." Diagnostics 14, no. 5 (February 26, 2024): 497. http://dx.doi.org/10.3390/diagnostics14050497.
Повний текст джерелаAlarfaj, Abeer Abdulaziz, and Hanan Ahmed Hosni Mahmoud. "Feature Fusion Deep Learning Model for Defects Prediction in Crystal Structures." Crystals 12, no. 9 (September 19, 2022): 1324. http://dx.doi.org/10.3390/cryst12091324.
Повний текст джерелаKumaresan, M., M. Senthil Kumar, and Nehal Muthukumar. "Analysis of mobility based COVID-19 epidemic model using Federated Multitask Learning." Mathematical Biosciences and Engineering 19, no. 10 (2022): 9983–10005. http://dx.doi.org/10.3934/mbe.2022466.
Повний текст джерелаZhao, Chengqian, Dengwang Li, Cheng Feng, and Shuo Li. "OF-UMRN: Uncertainty-guided multitask regression network aided by optical flow for fully automated comprehensive analysis of carotid artery." Medical Image Analysis 70 (May 2021): 101982. http://dx.doi.org/10.1016/j.media.2021.101982.
Повний текст джерелаLiu, Xiaoli, Peng Cao, Jinzhu Yang, and Dazhe Zhao. "Linearized and Kernelized Sparse Multitask Learning for Predicting Cognitive Outcomes in Alzheimer’s Disease." Computational and Mathematical Methods in Medicine 2018 (2018): 1–13. http://dx.doi.org/10.1155/2018/7429782.
Повний текст джерелаLafond, Daniel, Benoît Roberge-Vallières, François Vachon, and Sébastien Tremblay. "Judgment Analysis in a Dynamic Multitask Environment: Capturing Nonlinear Policies Using Decision Trees." Journal of Cognitive Engineering and Decision Making 11, no. 2 (August 9, 2016): 122–35. http://dx.doi.org/10.1177/1555343416661889.
Повний текст джерелаZhang, Kun, Pengcheng Lin, Jing Pan, Peixia Xu, Xuechen Qiu, Danny Crookes, Liang Hua, and Lin Wang. "End to End Multitask Joint Learning Model for Osteoporosis Classification in CT Images." Computational Intelligence and Neuroscience 2023 (March 16, 2023): 1–18. http://dx.doi.org/10.1155/2023/3018320.
Повний текст джерелаWang, Hua, Feiping Nie, Heng Huang, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, and Li Shen. "Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort." Bioinformatics 28, no. 2 (December 6, 2011): 229–37. http://dx.doi.org/10.1093/bioinformatics/btr649.
Повний текст джерелаMokhtaridoost, Milad, Philipp G. Maass, and Mehmet Gönen. "Identifying Tissue- and Cohort-Specific RNA Regulatory Modules in Cancer Cells Using Multitask Learning." Cancers 14, no. 19 (October 9, 2022): 4939. http://dx.doi.org/10.3390/cancers14194939.
Повний текст джерелаXie, Qian, Ning Jin, and Shanshan Lu. "Lightweight Football Motion Recognition and Intensity Analysis Using Low-Cost Wearable Sensors." Applied Bionics and Biomechanics 2023 (July 12, 2023): 1–10. http://dx.doi.org/10.1155/2023/2354728.
Повний текст джерелаMoon, Taewon, Woo-Joo Choi, Se-Hun Jang, Da-Seul Choi, and Myung-Min Oh. "Growth Analysis of Plant Factory-Grown Lettuce by Deep Neural Networks Based on Automated Feature Extraction." Horticulturae 8, no. 12 (November 29, 2022): 1124. http://dx.doi.org/10.3390/horticulturae8121124.
Повний текст джерелаBae, Chul-Young, Bo-Seon Kim, Sun-Ha Jee, Jong-Hoon Lee, and Ngoc-Dung Nguyen. "A Study on Survival Analysis Methods Using Neural Network to Prevent Cancers." Cancers 15, no. 19 (September 27, 2023): 4757. http://dx.doi.org/10.3390/cancers15194757.
Повний текст джерелаXu, Hao, Panpan Zhu, Xiaobo Luo, Tianshou Xie, and Liqiang Zhang. "Extracting Buildings from Remote Sensing Images Using a Multitask Encoder-Decoder Network with Boundary Refinement." Remote Sensing 14, no. 3 (January 25, 2022): 564. http://dx.doi.org/10.3390/rs14030564.
Повний текст джерелаDu, Lei, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, and Li Shen. "Identifying diagnosis-specific genotype–phenotype associations via joint multitask sparse canonical correlation analysis and classification." Bioinformatics 36, Supplement_1 (July 1, 2020): i371—i379. http://dx.doi.org/10.1093/bioinformatics/btaa434.
Повний текст джерелаShin, Changho, Sunghwan Joo, Jaeryun Yim, Hyoseop Lee, Taesup Moon, and Wonjong Rhee. "Subtask Gated Networks for Non-Intrusive Load Monitoring." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 1150–57. http://dx.doi.org/10.1609/aaai.v33i01.33011150.
Повний текст джерелаGui, Renzhou, Tongjie Chen, and Han Nie. "Classification of Task-State fMRI Data Based on Circle-EMD and Machine Learning." Computational Intelligence and Neuroscience 2020 (August 1, 2020): 1–10. http://dx.doi.org/10.1155/2020/7691294.
Повний текст джерелаZhan, Lili. "Classification Algorithm for Heterogeneous Network Data Streams Based on Big Data Active Learning." Journal of Applied Mathematics 2022 (October 21, 2022): 1–10. http://dx.doi.org/10.1155/2022/2996725.
Повний текст джерелаWei, Xiaochen, Xiaolei Lv, and Kaiyu Zhang. "Road Extraction in SAR Images Using Ordinal Regression and Road-Topology Loss." Remote Sensing 13, no. 11 (May 25, 2021): 2080. http://dx.doi.org/10.3390/rs13112080.
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