Artigos de revistas sobre o tema "Patterns missing"
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Nadimi-Shahraki, Mohammad H., Saeed Mohammadi, Hoda Zamani, Mostafa Gandomi e Amir H. Gandomi. "A Hybrid Imputation Method for Multi-Pattern Missing Data: A Case Study on Type II Diabetes Diagnosis". Electronics 10, n.º 24 (19 de dezembro de 2021): 3167. http://dx.doi.org/10.3390/electronics10243167.
Texto completo da fonteFernstad, Sara Johansson. "To identify what is not there: A definition of missingness patterns and evaluation of missing value visualization". Information Visualization 18, n.º 2 (25 de julho de 2018): 230–50. http://dx.doi.org/10.1177/1473871618785387.
Texto completo da fonteOrii, Hideaki, Hideaki Kawano, Hiroshi Maeda e Norikazu Ikoma. "Image Completion Considering Local Orientations of Rotated Patterns". Journal of Advanced Computational Intelligence and Intelligent Informatics 14, n.º 2 (20 de março de 2010): 193–99. http://dx.doi.org/10.20965/jaciii.2010.p0193.
Texto completo da fonteChinn, Phyllis Zweig. "Inductive Patterns, Finite Differences, and a Missing Region". Mathematics Teacher 81, n.º 6 (setembro de 1988): 446–49. http://dx.doi.org/10.5951/mt.81.6.0446.
Texto completo da fonteCarpi, Laura C., Patricia M. Saco e O. A. Rosso. "Missing ordinal patterns in correlated noises". Physica A: Statistical Mechanics and its Applications 389, n.º 10 (maio de 2010): 2020–29. http://dx.doi.org/10.1016/j.physa.2010.01.030.
Texto completo da fonteMew, John R. C. "Skeletodental patterns associated with missing teeth". American Journal of Orthodontics and Dentofacial Orthopedics 125, n.º 3 (março de 2004): A20. http://dx.doi.org/10.1016/j.ajodo.2004.01.013.
Texto completo da fonteZhao, Jianyong, Jiachen Qiu, Danfeng Sun e Baiping Chen. "RAEF: An Imputation Framework Based on a Gated Regulator Autoencoder for Incomplete IIoT Time-Series Data". Complexity 2021 (8 de dezembro de 2021): 1–12. http://dx.doi.org/10.1155/2021/3320402.
Texto completo da fonteOgut, Funda, Fikret Isik, Steven McKeand e Ross Whetten. "Imputing missing genotypes: effects of methods and patterns of missing data". BMC Proceedings 5, Suppl 7 (2011): P61. http://dx.doi.org/10.1186/1753-6561-5-s7-p61.
Texto completo da fonteLin, Jie, NianHua Li, Md Ashraful Alam e Yuqing Ma. "Data-driven missing data imputation in cluster monitoring system based on deep neural network". Applied Intelligence 50, n.º 3 (19 de outubro de 2019): 860–77. http://dx.doi.org/10.1007/s10489-019-01560-y.
Texto completo da fonteLi, Qian, Kate Fisher, Wenjun Meng, Bin Fang, Eric Welsh, Eric B. Haura, John M. Koomen, Steven A. Eschrich, Brooke L. Fridley e Y. Ann Chen. "GMSimpute: a generalized two-step Lasso approach to impute missing values in label-free mass spectrum analysis". Bioinformatics 36, n.º 1 (14 de junho de 2019): 257–63. http://dx.doi.org/10.1093/bioinformatics/btz488.
Texto completo da fonteNeuilly, Melanie-Angela, Ming-Li Hsieh, Alex Kigerl e Zachary K. Hamilton. "Data Missingness Patterns in Homicide Datasets: An Applied Test on a Primary Data Set". Violence and Victims 35, n.º 4 (1 de agosto de 2020): 589–614. http://dx.doi.org/10.1891/vv-d-17-00189.
Texto completo da fonteLu, Yue, Long Zhao, Zhao Li e Xiangjun Dong. "Genetic Similarity Analysis Based on Positive and Negative Sequence Patterns of DNA". Symmetry 12, n.º 12 (16 de dezembro de 2020): 2090. http://dx.doi.org/10.3390/sym12122090.
Texto completo da fonteFANG, HUA, KIMBERLY ANDREWS ESPY, MARIA L. RIZZO, CHRISTIAN STOPP, SANDRA A. WIEBE e WALTER W. STROUP. "PATTERN RECOGNITION OF LONGITUDINAL TRIAL DATA WITH NONIGNORABLE MISSINGNESS: AN EMPIRICAL CASE STUDY". International Journal of Information Technology & Decision Making 08, n.º 03 (setembro de 2009): 491–513. http://dx.doi.org/10.1142/s0219622009003508.
Texto completo da fonteLi, Lingling, Changyu Shen, Xiaochun Li e James M. Robins. "On weighting approaches for missing data". Statistical Methods in Medical Research 22, n.º 1 (24 de junho de 2011): 14–30. http://dx.doi.org/10.1177/0962280211403597.
Texto completo da fonteRuddle, Roy A., Muhammad Adnan e Marlous Hall. "Using set visualisation to find and explain patterns of missing values: a case study with NHS hospital episode statistics data". BMJ Open 12, n.º 11 (novembro de 2022): e064887. http://dx.doi.org/10.1136/bmjopen-2022-064887.
Texto completo da fonteDesli, Despoina, e Dimitra Gaitaneri. "Η κατανόηση των μαθηματικών μοτίβων από παιδιά Γ’ και Δ’ δημοτικού και οι στρατηγικές σκέψης τους". Preschool and Primary Education 5, n.º 1 (6 de março de 2017): 63. http://dx.doi.org/10.12681/ppej.10216.
Texto completo da fonteAgudelo, Gerardo Ernesto Rolong, Carlos Enrique Montenegro Marin e Paulo Alonso Gaona-Garcia. "Computational Model to Support the Detection of Profiles of Missing Person in Colombia." Inteligencia Artificial 24, n.º 67 (26 de abril de 2021): 121–28. http://dx.doi.org/10.4114/intartif.vol24iss67pp121-128.
Texto completo da fonteHughes, Philip D., Philip L. Gibbard e Jürgen Ehlers. "The “missing glaciations” of the Middle Pleistocene". Quaternary Research 96 (4 de fevereiro de 2020): 161–83. http://dx.doi.org/10.1017/qua.2019.76.
Texto completo da fonteWeiskott, Eric. "Systematicity, a missing term in historical metrics". Language and Literature: International Journal of Stylistics 25, n.º 4 (novembro de 2016): 328–42. http://dx.doi.org/10.1177/0963947016660229.
Texto completo da fonteKim, Eunjin, Soyoung Park, Eungyung Lee, Taesung Jeong e Jonghyun Shin. "Prevalence and Patterns of Congenitally Missing Teeth among Pediatric Patients Aged 8 - 16 in Pusan National University Dental Hospital". JOURNAL OF THE KOREAN ACADEMY OF PEDTATRIC DENTISTRY 50, n.º 2 (31 de maio de 2023): 179–91. http://dx.doi.org/10.5933/jkapd.2023.50.2.179.
Texto completo da fonteFarley, Dan, Daniel Anderson, P. Shawn Irvin e Gerald Tindal. "Modeling Reading Growth in Grades 3 to 5 With an Alternate Assessment". Remedial and Special Education 38, n.º 4 (19 de novembro de 2016): 195–206. http://dx.doi.org/10.1177/0741932516678661.
Texto completo da fonteAguilera, Héctor, Carolina Guardiola-Albert e Carmen Serrano-Hidalgo. "Estimating extremely large amounts of missing precipitation data". Journal of Hydroinformatics 22, n.º 3 (28 de fevereiro de 2020): 578–92. http://dx.doi.org/10.2166/hydro.2020.127.
Texto completo da fonteYin, Yi, Xi Wang, Qiang Li, Pengjian Shang e Fengzhen Hou. "Quantifying interdependence using the missing joint ordinal patterns". Chaos: An Interdisciplinary Journal of Nonlinear Science 29, n.º 7 (julho de 2019): 073114. http://dx.doi.org/10.1063/1.5084034.
Texto completo da fontePark, Sungwoo, Hyungwoo Lee, Muyoung Kim, Taegyeom Kim, Byunghoon Lee e Maenghyo Cho. "Multiscale simulations for exploring photo-chemical processes to mitigate the critical dimension variability of contact holes in EUV lithography". Journal of Materials Chemistry C 9, n.º 26 (2021): 8189–203. http://dx.doi.org/10.1039/d1tc00891a.
Texto completo da fonteBirmingham, Jolene, Andrea Rotnitzky e Garrett M. Fitzmaurice. "Pattern-mixture and selection models for analysing longitudinal data with monotone missing patterns". Journal of the Royal Statistical Society: Series B (Statistical Methodology) 65, n.º 1 (28 de janeiro de 2003): 275–97. http://dx.doi.org/10.1111/1467-9868.00386.
Texto completo da fonteYue Xu, Selene, Sandahl Nelson, Jacqueline Kerr, Suneeta Godbole, Ruth Patterson, Gina Merchant, Ian Abramson, John Staudenmayer e Loki Natarajan. "Statistical approaches to account for missing values in accelerometer data: Applications to modeling physical activity". Statistical Methods in Medical Research 27, n.º 4 (10 de julho de 2016): 1168–86. http://dx.doi.org/10.1177/0962280216657119.
Texto completo da fonteBabuta, Alexander, e Aiden Sidebottom. "Missing Children: On the Extent, Patterns, and Correlates of Repeat Disappearances by Young People". Policing: A Journal of Policy and Practice 14, n.º 3 (20 de setembro de 2018): 698–711. http://dx.doi.org/10.1093/police/pay066.
Texto completo da fonteLiu, Tongyu, Ju Fan, Yinqing Luo, Nan Tang, Guoliang Li e Xiaoyong Du. "Adaptive data augmentation for supervised learning over missing data". Proceedings of the VLDB Endowment 14, n.º 7 (março de 2021): 1202–14. http://dx.doi.org/10.14778/3450980.3450989.
Texto completo da fonteWang, Guobo, Minglu Ma, Lili Jiang, Fengyun Chen e Liansheng Xu. "Multiple imputation of maritime search and rescue data at multiple missing patterns". PLOS ONE 16, n.º 6 (18 de junho de 2021): e0252129. http://dx.doi.org/10.1371/journal.pone.0252129.
Texto completo da fonteAgrawal, Jagottam Das. "ANN in forecasting Missing Rainfall Data". E3S Web of Conferences 405 (2023): 04017. http://dx.doi.org/10.1051/e3sconf/202340504017.
Texto completo da fonteIbrahim, Fowzia, Brian D. M. Tom, David L. Scott e Andrew Toby Prevost. "Characterization of missing data patterns and mechanisms in longitudinal composite outcome trial in rheumatoid arthritis". Therapeutic Advances in Musculoskeletal Disease 14 (janeiro de 2022): 1759720X2211141. http://dx.doi.org/10.1177/1759720x221114103.
Texto completo da fonteTang, Xianfeng, Huaxiu Yao, Yiwei Sun, Charu Aggarwal, Prasenjit Mitra e Suhang Wang. "Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 04 (3 de abril de 2020): 5956–63. http://dx.doi.org/10.1609/aaai.v34i04.6056.
Texto completo da fonteStempfle, Lena, Ashkan Panahi e Fredrik D. Johansson. "Sharing Pattern Submodels for Prediction with Missing Values". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 8 (26 de junho de 2023): 9882–90. http://dx.doi.org/10.1609/aaai.v37i8.26179.
Texto completo da fonteSchonberger, Shirley, Yehoshua Shapira, Aikaterini Maria Pavlidi e Tamar Finkelstein. "Prevalence and Patterns of Permanent Tooth Agenesis among Orthodontic Patients—Treatment Options and Outcome". Applied Sciences 12, n.º 23 (30 de novembro de 2022): 12252. http://dx.doi.org/10.3390/app122312252.
Texto completo da fonteSun, Tuo, Shihao Zhu, Ruochen Hao, Bo Sun e Jiemin Xie. "Traffic Missing Data Imputation: A Selective Overview of Temporal Theories and Algorithms". Mathematics 10, n.º 14 (21 de julho de 2022): 2544. http://dx.doi.org/10.3390/math10142544.
Texto completo da fonteZhang, Daojun, e Frits Agterberg. "Modified Weights-of-Evidence Modeling with Example of Missing Geochemical Data". Complexity 2018 (1 de novembro de 2018): 1–12. http://dx.doi.org/10.1155/2018/7945960.
Texto completo da fonteBarnett, Adrian G., Paul McElwee, Andrea Nathan, Nicola W. Burton e Gavin Turrell. "Identifying patterns of item missing survey data using latent groups: an observational study". BMJ Open 7, n.º 10 (outubro de 2017): e017284. http://dx.doi.org/10.1136/bmjopen-2017-017284.
Texto completo da fonteIl Kim, Kwang, e Keon Myung Lee. "Mining of missing ship trajectory pattern in automatic identification system". International Journal of Engineering & Technology 7, n.º 2.12 (3 de abril de 2018): 167. http://dx.doi.org/10.14419/ijet.v7i2.12.11117.
Texto completo da fonteTada, Mayu, Natsumi Suzuki e Yoshifumi Okada. "Missing Value Imputation Method for Multiclass Matrix Data Based on Closed Itemset". Entropy 24, n.º 2 (16 de fevereiro de 2022): 286. http://dx.doi.org/10.3390/e24020286.
Texto completo da fonteLin, Huazhen, Wei Liu e Wei Lan. "Regression Analysis with Individual-Specific Patterns of Missing Covariates". Journal of Business & Economic Statistics 39, n.º 1 (19 de agosto de 2019): 179–88. http://dx.doi.org/10.1080/07350015.2019.1635486.
Texto completo da fonteBen-Bassat, Yocheved, e Ilana Brin. "Skeletodental patterns in patients with multiple congenitally missing teeth". American Journal of Orthodontics and Dentofacial Orthopedics 124, n.º 5 (novembro de 2003): 521–25. http://dx.doi.org/10.1016/s0889-5406(03)00620-6.
Texto completo da fonteHaghighati, R., e A. Hassan. "Feature extraction in control chart patterns with missing data". Journal of Physics: Conference Series 1150 (janeiro de 2019): 012013. http://dx.doi.org/10.1088/1742-6596/1150/1/012013.
Texto completo da fonteSprott, J. C. "A method for approximating missing data in spatial patterns". Computers & Graphics 28, n.º 1 (fevereiro de 2004): 113–17. http://dx.doi.org/10.1016/j.cag.2003.10.012.
Texto completo da fonteZhong, Ming, Satish Sharma e Pawan Lingras. "Matching Patterns for Updating Missing Values of Traffic Counts". Transportation Planning and Technology 29, n.º 2 (abril de 2006): 141–56. http://dx.doi.org/10.1080/03081060600753461.
Texto completo da fonteÞórðarson, Andri Freyr, Andreas Baum, Mónica García, Sergio M. Vicente-Serrano e Anders Stockmarr. "Gap-Filling of NDVI Satellite Data Using Tucker Decomposition: Exploiting Spatio-Temporal Patterns". Remote Sensing 13, n.º 19 (6 de outubro de 2021): 4007. http://dx.doi.org/10.3390/rs13194007.
Texto completo da fonteKonstantonis, Dimitrios, Maria Nassika, Maria Athanasiou e Heleni Vastardis. "Subphenotypes in Non-Syndromic Orofacial Cleft Patients Based on the Tooth Agenesis Code (TAC)". Children 9, n.º 3 (20 de março de 2022): 437. http://dx.doi.org/10.3390/children9030437.
Texto completo da fonteTan, Qihua, Mads Thomassen, Jacob v. B. Hjelmborg, Anders Clemmensen, Klaus Ejner Andersen, Thomas K. Petersen, Matthew McGue, Kaare Christensen e Torben A. Kruse. "A Growth Curve Model with Fractional Polynomials for Analysing Incomplete Time-Course Data in Microarray Gene Expression Studies". Advances in Bioinformatics 2011 (27 de setembro de 2011): 1–6. http://dx.doi.org/10.1155/2011/261514.
Texto completo da fonteCui, Licong, Wei Zhu, Shiqiang Tao, James T. Case, Olivier Bodenreider e Guo-Qiang Zhang. "Mining non-lattice subgraphs for detecting missing hierarchical relations and concepts in SNOMED CT". Journal of the American Medical Informatics Association 24, n.º 4 (19 de fevereiro de 2017): 788–98. http://dx.doi.org/10.1093/jamia/ocw175.
Texto completo da fonteHossain, Tahera, Md Atiqur Rahman Ahad e Sozo Inoue. "A Method for Sensor-Based Activity Recognition in Missing Data Scenario". Sensors 20, n.º 14 (8 de julho de 2020): 3811. http://dx.doi.org/10.3390/s20143811.
Texto completo da fonteSwitzer, Fred S., Philip L. Roth e Deborah M. Switzer. "Systematic Data Loss in HRM Settings: A Monte Carlo Analysis". Journal of Management 24, n.º 6 (dezembro de 1998): 763–79. http://dx.doi.org/10.1177/014920639802400605.
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