Artículos de revistas sobre el tema "Interpretable coefficients"
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Lubiński, Wojciech y Tomasz Gólczewski. "Physiologically interpretable prediction equations for spirometric indexes". Journal of Applied Physiology 108, n.º 5 (mayo de 2010): 1440–46. http://dx.doi.org/10.1152/japplphysiol.01211.2009.
Texto completoLIPOVETSKY, STAN. "MEANINGFUL REGRESSION COEFFICIENTS BUILT BY DATA GRADIENTS". Advances in Adaptive Data Analysis 02, n.º 04 (octubre de 2010): 451–62. http://dx.doi.org/10.1142/s1793536910000574.
Texto completoLawless, Connor, Jayant Kalagnanam, Lam M. Nguyen, Dzung Phan y Chandra Reddy. "Interpretable Clustering via Multi-Polytope Machines". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 7 (28 de junio de 2022): 7309–16. http://dx.doi.org/10.1609/aaai.v36i7.20693.
Texto completoEshima, Nobuoki, Claudio Giovanni Borroni, Minoru Tabata y Takeshi Kurosawa. "An Entropy-Based Tool to Help the Interpretation of Common-Factor Spaces in Factor Analysis". Entropy 23, n.º 2 (24 de enero de 2021): 140. http://dx.doi.org/10.3390/e23020140.
Texto completoLiu, Jin, Robert A. Perera, Le Kang, Roy T. Sabo y Robert M. Kirkpatrick. "Obtaining Interpretable Parameters From Reparameterized Longitudinal Models: Transformation Matrices Between Growth Factors in Two Parameter Spaces". Journal of Educational and Behavioral Statistics 47, n.º 2 (1 de diciembre de 2021): 167–201. http://dx.doi.org/10.3102/10769986211052009.
Texto completoTakada, Masaaki, Taiji Suzuki y Hironori Fujisawa. "Independently Interpretable Lasso for Generalized Linear Models". Neural Computation 32, n.º 6 (junio de 2020): 1168–221. http://dx.doi.org/10.1162/neco_a_01279.
Texto completoBazilevskiy, Mikhail Pavlovich. "Program for Constructing Quite Interpretable Elementary and Non-elementary Quasi-linear Regression Models". Proceedings of the Institute for System Programming of the RAS 35, n.º 4 (2023): 129–44. http://dx.doi.org/10.15514/ispras-2023-35(4)-7.
Texto completoYeung, Michael. "Attention U-Net ensemble for interpretable polyp and instrument segmentation". Nordic Machine Intelligence 1, n.º 1 (1 de noviembre de 2021): 47–49. http://dx.doi.org/10.5617/nmi.9157.
Texto completoBarnett, Tim y Patricia A. Lanier. "Comparison of Alternative Response Formats for an Abbreviated Version of Rotter's Locus of Control Scale". Psychological Reports 77, n.º 1 (agosto de 1995): 259–64. http://dx.doi.org/10.2466/pr0.1995.77.1.259.
Texto completoZheng, Fanglan, Erihe, Kun Li, Jiang Tian y Xiaojia Xiang. "A federated interpretable scorecard and its application in credit scoring". International Journal of Financial Engineering 08, n.º 03 (6 de agosto de 2021): 2142009. http://dx.doi.org/10.1142/s2424786321420093.
Texto completoDeng, Jiale y Yanyan Shen. "Self-Interpretable Graph Learning with Sufficient and Necessary Explanations". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 10 (24 de marzo de 2024): 11749–56. http://dx.doi.org/10.1609/aaai.v38i10.29059.
Texto completoYin, Hao, Austin R. Benson y Johan Ugander. "Measuring directed triadic closure with closure coefficients". Network Science 8, n.º 4 (1 de junio de 2020): 551–73. http://dx.doi.org/10.1017/nws.2020.20.
Texto completoShapiro, Alexander A. "Thermodynamic Theory of Diffusion and Thermodiffusion Coefficients in Multicomponent Mixtures". Journal of Non-Equilibrium Thermodynamics 45, n.º 4 (25 de octubre de 2020): 343–72. http://dx.doi.org/10.1515/jnet-2020-0006.
Texto completoMunkhdalai, Lkhagvadorj, Tsendsuren Munkhdalai, Pham Van Van Huy, Jang-Eui Hong, Keun Ho Ryu y Nipon Theera-Umpon. "Neural Network-Augmented Locally Adaptive Linear Regression Model for Tabular Data". Sustainability 14, n.º 22 (17 de noviembre de 2022): 15273. http://dx.doi.org/10.3390/su142215273.
Texto completoKim, Ho Heon, Youngin Kim y Yu Rang Park. "Interpretable Conditional Recurrent Neural Network for Weight Change Prediction: Algorithm Development and Validation Study". JMIR mHealth and uHealth 9, n.º 3 (29 de marzo de 2021): e22183. http://dx.doi.org/10.2196/22183.
Texto completoHuang, Yuehua, Wenfen Liu, Song Li, Ying Guo y Wen Chen. "Interpretable Single-dimension Outlier Detection (ISOD): An Unsupervised Outlier Detection Method Based on Quantiles and Skewness Coefficients". Applied Sciences 14, n.º 1 (22 de diciembre de 2023): 136. http://dx.doi.org/10.3390/app14010136.
Texto completoRanasinghe, Nisal, Damith Senanayake, Sachith Seneviratne, Malin Premaratne y Saman Halgamuge. "GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 13 (24 de marzo de 2024): 14776–84. http://dx.doi.org/10.1609/aaai.v38i13.29396.
Texto completoSedighi-Maman, Zahra y Jonathan J. Heath. "An Interpretable Two-Phase Modeling Approach for Lung Cancer Survivability Prediction". Sensors 22, n.º 18 (8 de septiembre de 2022): 6783. http://dx.doi.org/10.3390/s22186783.
Texto completoHeinemann, Lothar A. J. "How to Measure “Short-Term Hormonal Effects”?" Obstetrics and Gynecology International 2009 (2009): 1–5. http://dx.doi.org/10.1155/2009/459485.
Texto completoWestö, Johan y Patrick J. C. May. "Describing complex cells in primary visual cortex: a comparison of context and multifilter LN models". Journal of Neurophysiology 120, n.º 2 (1 de agosto de 2018): 703–19. http://dx.doi.org/10.1152/jn.00916.2017.
Texto completoCheng (程思浩), Sihao, Yuan-Sen Ting (丁源森), Brice Ménard y Joan Bruna. "A new approach to observational cosmology using the scattering transform". Monthly Notices of the Royal Astronomical Society 499, n.º 4 (15 de octubre de 2020): 5902–14. http://dx.doi.org/10.1093/mnras/staa3165.
Texto completoKHOSHGOFTAAR, TAGHI M. y EDWARD B. ALLEN. "LOGISTIC REGRESSION MODELING OF SOFTWARE QUALITY". International Journal of Reliability, Quality and Safety Engineering 06, n.º 04 (diciembre de 1999): 303–17. http://dx.doi.org/10.1142/s0218539399000292.
Texto completoVentrucci, Massimo y Håvard Rue. "Penalized complexity priors for degrees of freedom in Bayesian P-splines". Statistical Modelling 16, n.º 6 (20 de septiembre de 2016): 429–53. http://dx.doi.org/10.1177/1471082x16659154.
Texto completoKirkland, Angus I. y Rüdiger R. Meyer. "“Indirect” High-Resolution Transmission Electron Microscopy: Aberration Measurement and Wavefunction Reconstruction". Microscopy and Microanalysis 10, n.º 4 (agosto de 2004): 401–13. http://dx.doi.org/10.1017/s1431927604040437.
Texto completoLIU, JIAN, BIN MA y MING LI. "PRIMA: PEPTIDE ROBUST IDENTIFICATION FROM MS/MS SPECTRA". Journal of Bioinformatics and Computational Biology 04, n.º 01 (febrero de 2006): 125–38. http://dx.doi.org/10.1142/s0219720006001746.
Texto completoLowther, Aaron P., Paul Fearnhead, Matthew A. Nunes y Kjeld Jensen. "Semi-automated simultaneous predictor selection for regression-SARIMA models". Statistics and Computing 30, n.º 6 (4 de septiembre de 2020): 1759–78. http://dx.doi.org/10.1007/s11222-020-09970-6.
Texto completoAngelis, Dimitrios, Filippos Sofos, Konstantinos Papastamatiou y Theodoros E. Karakasidis. "Fluid Properties Extraction in Confined Nanochannels with Molecular Dynamics and Symbolic Regression Methods". Micromachines 14, n.º 7 (19 de julio de 2023): 1446. http://dx.doi.org/10.3390/mi14071446.
Texto completoKume, Kenji y Naoko Nose-Togawa. "An Adaptive Orthogonal SSA Decomposition Algorithm for a Time Series". Advances in Data Science and Adaptive Analysis 10, n.º 01 (enero de 2018): 1850002. http://dx.doi.org/10.1142/s2424922x1850002x.
Texto completoReivan-Ortiz, Geovanny Genaro, Gisela Pineda-Garcia, Bello León Parias, Patricia Natali Reivan Ortiz, Patricia Elizabeth Ortiz-Rodas, Andrés Alexis Ramírez Coronel y Pedro Carlos Martinez Suarez. "Adaptación y validación ecuatoriana de la Escala de Factores de Riesgo Asociados a los Trastornos de la Conducta Alimentaria (EFRATA)". Anales de Psicología 38, n.º 2 (19 de abril de 2022): 232–38. http://dx.doi.org/10.6018/analesps.475061.
Texto completoWu, Yuanyuan, Linfei Zhang, Uzair Aslam Bhatti y Mengxing Huang. "Interpretable Machine Learning for Personalized Medical Recommendations: A LIME-Based Approach". Diagnostics 13, n.º 16 (15 de agosto de 2023): 2681. http://dx.doi.org/10.3390/diagnostics13162681.
Texto completoSmedema, Susan Miller y René Marie Talbot. "Psychometric Validation of the Job Satisfaction of Persons With Disabilities Scale". Rehabilitation Research, Policy, and Education 34, n.º 3 (1 de septiembre de 2020): 176–89. http://dx.doi.org/10.1891/re-19-22.
Texto completoSmedema, Susan Miller, Fong Chan, Ming-Hung Wang, Emre Umucu, Naoko Yura Yasui, Wei-Mo Tu, Nicole Ditchman y Chia-Chiang Wang. "Psychometric Validation of the Taiwanese Version of theJob Satisfaction of Persons with Disabilities Scalein a Sample of Individuals with Poliomyelitis". Australian Journal of Rehabilitation Counselling 22, n.º 1 (13 de abril de 2016): 27–39. http://dx.doi.org/10.1017/jrc.2016.1.
Texto completoLei, Minjie y S. E. Clark. "Probing the Cold Neutral Medium through H I Emission Morphology with the Scattering Transform". Astrophysical Journal 947, n.º 2 (1 de abril de 2023): 74. http://dx.doi.org/10.3847/1538-4357/acc02a.
Texto completoQuyen. "STORM SURGE FORECAST MODEL USING GENETIC PROGRAMMING". Journal of Military Science and Technology, n.º 69A (16 de noviembre de 2020): 75–89. http://dx.doi.org/10.54939/1859-1043.j.mst.69a.2020.75-89.
Texto completoZheng, Ervine, Qi Yu y Zhi Zheng. "Sparse Maximum Margin Learning from Multimodal Human Behavioral Patterns". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 4 (26 de junio de 2023): 5437–45. http://dx.doi.org/10.1609/aaai.v37i4.25676.
Texto completoBalogh, Vanda, Gábor Berend, Dimitrios I. Diochnos y György Turán. "Understanding the Semantic Content of Sparse Word Embeddings Using a Commonsense Knowledge Base". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 05 (3 de abril de 2020): 7399–406. http://dx.doi.org/10.1609/aaai.v34i05.6235.
Texto completoCARVALHO, Lucas de Francisco y Catarina Possenti SETTE. "Revision of the Criticism Avoidance dimension of the Dimensional Clinical Personality Inventory". Estudos de Psicologia (Campinas) 34, n.º 2 (junio de 2017): 219–31. http://dx.doi.org/10.1590/1982-02752017000200004.
Texto completoLi, Yang, Le Qi, Yichen Qin, Cunjie Lin y Yuhong Yang. "Block Weighted Least Squares Estimation for Nonlinear Cost-based Split Questionnaire Design". Journal of Official Statistics 39, n.º 4 (1 de diciembre de 2023): 459–87. http://dx.doi.org/10.2478/jos-2023-0022.
Texto completoHasanov, Fakhri J., Lester C. Hunt y Jeyhun I. Mikayilov. "Estimating different order polynomial logarithmic environmental Kuznets curves". Environmental Science and Pollution Research 28, n.º 31 (1 de abril de 2021): 41965–87. http://dx.doi.org/10.1007/s11356-021-13463-y.
Texto completoChang, Ted L., Hongjing Xia, Sonya Mahajan, Rohit Mahajan, Joe Maisog, Shashaank Vattikuti, Carson C. Chow y Joshua C. Chang. "Interpretable (not just posthoc-explainable) medical claims modeling for discharge placement to reduce preventable all-cause readmissions or death". PLOS ONE 19, n.º 5 (9 de mayo de 2024): e0302871. http://dx.doi.org/10.1371/journal.pone.0302871.
Texto completoBrown, Kristen C., Kiran D. Bhattacharyya, Sue Kulason, Aneeq Zia y Anthony Jarc. "How to Bring Surgery to the Next Level: Interpretable Skills Assessment in Robotic-Assisted Surgery". Visceral Medicine 36, n.º 6 (2020): 463–70. http://dx.doi.org/10.1159/000512437.
Texto completoMittal, Anshika, Ritu Arora y Rita Kakkar. "Pharmacophore modeling, 3D-QSAR and molecular docking studies of quinazolines and aminopyridines as selective inhibitors of inducible nitric oxide synthase". Journal of Theoretical and Computational Chemistry 18, n.º 01 (febrero de 2019): 1950002. http://dx.doi.org/10.1142/s0219633619500020.
Texto completoGao, Xuan, Chenglai Zhong, Jun Xiang, Yang Hong, Yudong Guo y Juyong Zhang. "Reconstructing Personalized Semantic Facial NeRF Models from Monocular Video". ACM Transactions on Graphics 41, n.º 6 (30 de noviembre de 2022): 1–12. http://dx.doi.org/10.1145/3550454.3555501.
Texto completoXue, Jingteng, Jingtao Huang, Mingwei Li, Jiaying Chen, Zongfan Wei, Yuan Cheng, Zhonghong Lai, Nan Qu, Yong Liu y Jingchuan Zhu. "Explanatory Machine Learning Accelerates the Design of Graphene-Reinforced Aluminium Matrix Composites with Superior Performance". Metals 13, n.º 10 (4 de octubre de 2023): 1690. http://dx.doi.org/10.3390/met13101690.
Texto completoShen, Yuning, Abe Pressman, Evan Janzen y Irene A. Chen. "Kinetic sequencing (k-Seq) as a massively parallel assay for ribozyme kinetics: utility and critical parameters". Nucleic Acids Research 49, n.º 12 (27 de marzo de 2021): e67-e67. http://dx.doi.org/10.1093/nar/gkab199.
Texto completoTyrsin, A. N. "Scalar measure of the interdependence between random vectors". Industrial laboratory. Diagnostics of materials 84, n.º 7 (8 de agosto de 2018): 76–82. http://dx.doi.org/10.26896/1028-6861-2018-84-7-76-82.
Texto completoDe Francisco Carvalho, Lucas. "Review Study of the Impulsiveness Dimension of the Dimensional Clinical Personality Inventory". Universitas Psychologica 17, n.º 1 (15 de marzo de 2018): 1–11. http://dx.doi.org/10.11144/javeriana.upsy17-1.rsid.
Texto completoKetterlinus, Robert D., Fred L. Bookstein, Paul D. Sampson y Michael E. Lamb. "Partial least squares analysis in developmental psychopathology". Development and Psychopathology 1, n.º 4 (octubre de 1989): 351–71. http://dx.doi.org/10.1017/s0954579400000523.
Texto completoLiu, Yiran, Jian Wang, Cheng Yang, Yu Zheng y Haipeng Fu. "A Machine Learning-Based Method for Modeling TEC Regional Temporal-Spatial Map". Remote Sensing 14, n.º 21 (4 de noviembre de 2022): 5579. http://dx.doi.org/10.3390/rs14215579.
Texto completoDuveneck, Eric, Michael Kiehn, Anu Chandran y Thomas Kühnel. "Reflection angle/azimuth-dependent least-squares reverse time migration". GEOPHYSICS 86, n.º 5 (30 de agosto de 2021): S325—S338. http://dx.doi.org/10.1190/geo2020-0701.1.
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