Artículos de revistas sobre el tema "Selective classifier"
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Pernkopf, Franz. "Bayesian network classifiers versus selective -NN classifier". Pattern Recognition 38, n.º 1 (enero de 2005): 1–10. http://dx.doi.org/10.1016/j.patcog.2004.05.012.
Texto completoWares, Scott, John Isaacs y Eyad Elyan. "Burst Detection-Based Selective Classifier Resetting". Journal of Information & Knowledge Management 20, n.º 02 (23 de abril de 2021): 2150027. http://dx.doi.org/10.1142/s0219649221500271.
Texto completoLi, Kai y Hong Tao Gao. "A Subgraph-Based Selective Classifier Ensemble Algorithm". Advanced Materials Research 219-220 (marzo de 2011): 261–64. http://dx.doi.org/10.4028/www.scientific.net/amr.219-220.261.
Texto completoWiener, Yair y Ran El-Yaniv. "Agnostic Pointwise-Competitive Selective Classification". Journal of Artificial Intelligence Research 52 (26 de enero de 2015): 171–201. http://dx.doi.org/10.1613/jair.4439.
Texto completoWang, Yan, Xiu Xia Wang y Sheng Lai. "A Kind of Combination Feature Division and Diversity Measure of Multi-Classifier Selective Ensemble Algorithm". Applied Mechanics and Materials 63-64 (junio de 2011): 55–58. http://dx.doi.org/10.4028/www.scientific.net/amm.63-64.55.
Texto completoLiu, Li Min y Xiao Ping Fan. "A Survey: Clustering Ensemble Selection". Advanced Materials Research 403-408 (noviembre de 2011): 2760–63. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.2760.
Texto completoNikhar, Sonam y A. M. Karandikar. "Prediction of Heart Disease Using Different Classification Techniques". APTIKOM Journal on Computer Science and Information Technologies 2, n.º 2 (1 de julio de 2017): 68–76. http://dx.doi.org/10.11591/aptikom.j.csit.106.
Texto completoTao, Xiaoling, Yong Wang, Yi Wei y Ye Long. "Network Traffic Classification Based on Multi-Classifier Selective Ensemble". Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 8, n.º 2 (9 de septiembre de 2015): 88–94. http://dx.doi.org/10.2174/235209650802150909112547.
Texto completoWei, Leyi, Shixiang Wan, Jiasheng Guo y Kelvin KL Wong. "A novel hierarchical selective ensemble classifier with bioinformatics application". Artificial Intelligence in Medicine 83 (noviembre de 2017): 82–90. http://dx.doi.org/10.1016/j.artmed.2017.02.005.
Texto completoZhang, Xiao Hua, Zhi Fei Liu, Ya Jun Guo y Li Qiang Zhao. "Selective Facial Expression Recognition Using fastICA". Advanced Materials Research 433-440 (enero de 2012): 2755–61. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.2755.
Texto completoLin, Hung-Chun y Chao-Ton Su. "A selective Bayes classifier with meta-heuristics for incomplete data". Neurocomputing 106 (abril de 2013): 95–102. http://dx.doi.org/10.1016/j.neucom.2012.10.020.
Texto completoM.sabbar, Bayan y Hussein A. Rasool. "AUTOMATIC MODULATION CLASSIFIER: REVIEW". Iraqi Journal of Information & Communications Technology 3, n.º 4 (31 de diciembre de 2020): 11–32. http://dx.doi.org/10.31987/ijict.3.4.111.
Texto completoChaganti, Rajasekhar, Furqan Rustam, Isabel De La Torre Díez, Juan Luis Vidal Mazón, Carmen Lili Rodríguez y Imran Ashraf. "Thyroid Disease Prediction Using Selective Features and Machine Learning Techniques". Cancers 14, n.º 16 (13 de agosto de 2022): 3914. http://dx.doi.org/10.3390/cancers14163914.
Texto completoLim, Hyunjun, Byeongnam Kim, Gyu-Jeong Noh y Sun Yoo. "A Deep Neural Network-Based Pain Classifier Using a Photoplethysmography Signal". Sensors 19, n.º 2 (18 de enero de 2019): 384. http://dx.doi.org/10.3390/s19020384.
Texto completoBurton, R. M. y Dale A. Lundgren. "Wide Range Aerosol Classifier: A Size Selective Sampler for Large Particles". Aerosol Science and Technology 6, n.º 3 (enero de 1987): 289–301. http://dx.doi.org/10.1080/02786828708959140.
Texto completoXiong, Lin, Shasha Mao y Licheng Jiao. "Selective Ensemble Based on Transformation of Classifiers Used SPCA". International Journal of Pattern Recognition and Artificial Intelligence 29, n.º 01 (4 de enero de 2015): 1550005. http://dx.doi.org/10.1142/s0218001415500056.
Texto completoVerma, Pradeep y Poornima Tyagi. "Credit Card Fraud Detection Using Selective Class Sampling and Random Forest Classifier". ECS Transactions 107, n.º 1 (24 de abril de 2022): 4885–94. http://dx.doi.org/10.1149/10701.4885ecst.
Texto completoChang, Jae-Young y Han-Joon Kim. "Accelerating the EM Algorithm through Selective Sampling for Naive Bayes Text Classifier". KIPS Transactions:PartD 13D, n.º 3 (1 de junio de 2006): 369–76. http://dx.doi.org/10.3745/kipstd.2006.13d.3.369.
Texto completoChen, Jingnian, Houkuan Huang, Fengzhan Tian y Shengfeng Tian. "A selective Bayes Classifier for classifying incomplete data based on gain ratio". Knowledge-Based Systems 21, n.º 7 (octubre de 2008): 530–34. http://dx.doi.org/10.1016/j.knosys.2008.03.013.
Texto completoWon, Kyungho, Moonyoung Kwon, Minkyu Ahn y Sung Chan Jun. "Selective Subject Pooling Strategy to Improve Model Generalization for a Motor Imagery BCI". Sensors 21, n.º 16 (12 de agosto de 2021): 5436. http://dx.doi.org/10.3390/s21165436.
Texto completoLee, Chang-Hoon y Soo-Young Lee. "Noise-Robust Speech Recognition Using Top-Down Selective Attention With an HMM Classifier". IEEE Signal Processing Letters 14, n.º 7 (julio de 2007): 489–91. http://dx.doi.org/10.1109/lsp.2006.891326.
Texto completoChen, Linlin, Mei Wang, Qiang Zhang y Nan Hou. "GA-MKB:A Multi-kernel Boosting Learning Method based on Normalized Kernel Target Alignment and Kernel Difference". Journal of Physics: Conference Series 2281, n.º 1 (1 de junio de 2022): 012012. http://dx.doi.org/10.1088/1742-6596/2281/1/012012.
Texto completoTian, Zhang, Chen, Geng y Wang. "Selective Ensemble Based on Extreme Learning Machine for Sensor-Based Human Activity Recognition". Sensors 19, n.º 16 (8 de agosto de 2019): 3468. http://dx.doi.org/10.3390/s19163468.
Texto completoDíaz-Amador, Roberto y Miguel A. Mendoza-Reyes. "Towards the reduction of the effects of muscle fatigue on myoelectric control of upper limb prostheses". DYNA 86, n.º 208 (1 de enero de 2019): 110–16. http://dx.doi.org/10.15446/dyna.v86n208.73401.
Texto completoBarros, Murilo M. de, Fábio M. da Silva, Anderson G. Costa, Gabriel A. e. S. Ferraz y Flávio C. da Silva. "Use of classifier to determine coffee harvest time by detachment force". Revista Brasileira de Engenharia Agrícola e Ambiental 22, n.º 5 (mayo de 2018): 366–70. http://dx.doi.org/10.1590/1807-1929/agriambi.v22n5p366-370.
Texto completoJrad, Nisrine, Edith Grall-Maës y Pierre Beauseroy. "Gene-Based Multiclass Cancer Diagnosis with Class-Selective Rejections". Journal of Biomedicine and Biotechnology 2009 (2009): 1–10. http://dx.doi.org/10.1155/2009/608701.
Texto completoZeineddine, Fadl, Benjamin Garmezy, Timothy A. Yap y John Paul Y. C. Shen. "PMC: A more precise classifier of POLE mutations to identify candidates for immune therapy." Journal of Clinical Oncology 39, n.º 15_suppl (20 de mayo de 2021): 3548. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.3548.
Texto completoLin, Zhenqiang, Yiwen Lai, Taotao Pan, Wang Zhang, Jun Zheng, Xiaohong Ge y Yuangang Liu. "A New Method for Automatic Detection of Defects in Selective Laser Melting Based on Machine Vision". Materials 14, n.º 15 (27 de julio de 2021): 4175. http://dx.doi.org/10.3390/ma14154175.
Texto completoGnip, Peter, Liberios Vokorokos y Peter Drotár. "Selective oversampling approach for strongly imbalanced data". PeerJ Computer Science 7 (18 de junio de 2021): e604. http://dx.doi.org/10.7717/peerj-cs.604.
Texto completoHu, Yin E. y Ke Luo. "A Selective Naïve Bayesian Classification Algorithm Based on Rough Set". Applied Mechanics and Materials 325-326 (junio de 2013): 1593–96. http://dx.doi.org/10.4028/www.scientific.net/amm.325-326.1593.
Texto completoChi, Cheng, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li y Xudong Zou. "Selective Refinement Network for High Performance Face Detection". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 8231–38. http://dx.doi.org/10.1609/aaai.v33i01.33018231.
Texto completoKamarulzaman, Aisyah Marliza Muhmad, Wan Shafrina Wan Mohd Jaafar, Khairul Nizam Abdul Maulud, Siti Nor Maizah Saad, Hamdan Omar y Midhun Mohan. "Integrated Segmentation Approach with Machine Learning Classifier in Detecting and Mapping Post Selective Logging Impacts Using UAV Imagery". Forests 13, n.º 1 (2 de enero de 2022): 48. http://dx.doi.org/10.3390/f13010048.
Texto completoAssumpção Silva, Ronan, Alceu S. Britto, Fabricio Enembreck, Robert Sabourin y Luiz S. Oliveira. "Selecting and Combining Classifiers Based on Centrality Measures". International Journal on Artificial Intelligence Tools 29, n.º 03n04 (junio de 2020): 2060004. http://dx.doi.org/10.1142/s0218213020600040.
Texto completoSourov, Injamamul Haque, Faiyaz Alvi Ahmed, Md Tawhid Islam Opu, Aunnoy K. Mutasim, M. Raihanul Bashar, Rayhan Sardar Tipu, Md Ashraful Amin y Md Kafiul Islam. "EEG-Based Preference Classification for Neuromarketing Application". Computational Intelligence and Neuroscience 2023 (1 de marzo de 2023): 1–13. http://dx.doi.org/10.1155/2023/4994751.
Texto completoWirth, Lori J., Mimi I.-Nan Hu, Steven G. Waguespack, Chrysoula Dosiou, Paul Ladenson, Masha J. Livhits, Peter M. Sadow et al. "NTRK, RET, BRAF, and ALK fusions in thyroid fine-needle aspirates (FNAs)." Journal of Clinical Oncology 39, n.º 15_suppl (20 de mayo de 2021): 6083. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.6083.
Texto completoGhosh, Partha, Arpan Losalka y Michael J. Black. "Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 541–48. http://dx.doi.org/10.1609/aaai.v33i01.3301541.
Texto completoLiu, Hui. "An Unsupervised Classification Method of Multi-Polarization Synthetic Aperture Radar Imagery". Journal of Nanoelectronics and Optoelectronics 17, n.º 1 (1 de enero de 2022): 48–55. http://dx.doi.org/10.1166/jno.2022.3168.
Texto completoCong, Jinyu, Benzheng Wei, Yunlong He, Yilong Yin y Yuanjie Zheng. "A Selective Ensemble Classification Method Combining Mammography Images with Ultrasound Images for Breast Cancer Diagnosis". Computational and Mathematical Methods in Medicine 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/4896386.
Texto completoZhu, Shaolong, Maoni Chao, Jinyu Zhang, Xinjuan Xu, Puwen Song, Jinlong Zhang y Zhongwen Huang. "Identification of Soybean Seed Varieties Based on Hyperspectral Imaging Technology". Sensors 19, n.º 23 (28 de noviembre de 2019): 5225. http://dx.doi.org/10.3390/s19235225.
Texto completoHewahi, Nabil M. y Sarah N. Kohail. "Learning Concept Drift Using Adaptive Training Set Formation Strategy". International Journal of Technology Diffusion 4, n.º 1 (enero de 2013): 33–55. http://dx.doi.org/10.4018/jtd.2013010103.
Texto completoChoi, Sang-Il, Sang Tae Choi y Haanju Yoo. "Selective Feature Generation Method for Classification of Low-Dimensional Data". International Journal of Computers Communications & Control 13, n.º 1 (12 de febrero de 2018): 24. http://dx.doi.org/10.15837/ijccc.2018.1.2931.
Texto completoHayat, Muhammad Badar, Muhammad Danishwar, Amna Hamid, Mirza Muhammad Zaid y Muhammad Zaka Emad. "Quadratic Mathematical Modeling of Sustainable Dry Beneficiation of Kaolin". Minerals 11, n.º 4 (18 de abril de 2021): 429. http://dx.doi.org/10.3390/min11040429.
Texto completoHsieh, Miao-Ling y Su-Ying Hsiao. "On the “one+verbal classifier” sequence as a delimitative aspect marker in Taiwanese Southern Min". Language and Linguistics / 語言暨語言學 23, n.º 4 (12 de septiembre de 2022): 680–709. http://dx.doi.org/10.1075/lali.00119.hsi.
Texto completoDadashzadeh, Mojtaba, Yousef Abbaspour-Gilandeh, Tarahom Mesri-Gundoshmian, Sajad Sabzi, José Luis Hernández-Hernández, Mario Hernández-Hernández y Juan Ignacio Arribas. "Weed Classification for Site-Specific Weed Management Using an Automated Stereo Computer-Vision Machine-Learning System in Rice Fields". Plants 9, n.º 5 (27 de abril de 2020): 559. http://dx.doi.org/10.3390/plants9050559.
Texto completoKapoor, Rajiv, Om Mishra y Madan Mohan Tripathi. "Human action recognition using descriptor based on selective finite element analysis". Journal of Electrical Engineering 70, n.º 6 (1 de diciembre de 2019): 443–53. http://dx.doi.org/10.2478/jee-2019-0077.
Texto completoJenset, Gard B. y Barbara McGillivray. "Enhancing Domain-Specific Supervised Natural Language Intent Classification with a Top-Down Selective Ensemble Model". Machine Learning and Knowledge Extraction 1, n.º 2 (18 de abril de 2019): 630–40. http://dx.doi.org/10.3390/make1020037.
Texto completoKavitha, P. y M. Prabakaran. "An Efficient Tweeter Sentiment Analysis Sfcetr Selective Feature Based Case Content Extraction Using Maximum Entropy Classifier To Rank The Tweets". International Journal of Computer Sciences and Engineering 6, n.º 9 (30 de septiembre de 2018): 289–99. http://dx.doi.org/10.26438/ijcse/v6i9.289299.
Texto completoKoyuncu, Hasan y Mücahid Barstuğan. "COVID-19 discrimination framework for X-ray images by considering radiomics, selective information, feature ranking, and a novel hybrid classifier". Signal Processing: Image Communication 97 (septiembre de 2021): 116359. http://dx.doi.org/10.1016/j.image.2021.116359.
Texto completoHao, Lijun, Min Zhang y Gang Huang. "Feature Optimization of Exhaled Breath Signals Based on Pearson-BPSO". Mobile Information Systems 2021 (3 de diciembre de 2021): 1–9. http://dx.doi.org/10.1155/2021/1478384.
Texto completoTian, Yiming, Jie Zhang, Qi Chen, Shuping Hou y Li Xiao. "Group Decision Making-Based Fusion for Human Activity Recognition in Body Sensor Networks". Sensors 22, n.º 21 (27 de octubre de 2022): 8225. http://dx.doi.org/10.3390/s22218225.
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