Artykuły w czasopismach na temat „Partial Dependence Plot”
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Yan, Miaomiao, i Yindong Shen. "Traffic Accident Severity Prediction Based on Random Forest". Sustainability 14, nr 3 (2.02.2022): 1729. http://dx.doi.org/10.3390/su14031729.
Pełny tekst źródłaDewan, Isha, i Subhash Kochar. "SOME NEW APPLICATIONS OF P–P PLOTS". Probability in the Engineering and Informational Sciences 27, nr 3 (28.03.2013): 353–66. http://dx.doi.org/10.1017/s0269964813000077.
Pełny tekst źródłaLee, Changro. "Training and Interpreting Machine Learning Models: Application in Property Tax Assessment". Real Estate Management and Valuation 30, nr 1 (1.03.2022): 13–22. http://dx.doi.org/10.2478/remav-2022-0002.
Pełny tekst źródłaFu, Xiao. "The D e (T, t) plot: A straightforward self-diagnose tool for post-IR IRSL dating procedures". Geochronometria 41, nr 4 (1.12.2014): 315–26. http://dx.doi.org/10.2478/s13386-013-0167-9.
Pełny tekst źródłaTran, Van Quan. "Predicting and Investigating the Permeability Coefficient of Soil with Aided Single Machine Learning Algorithm". Complexity 2022 (25.09.2022): 1–18. http://dx.doi.org/10.1155/2022/8089428.
Pełny tekst źródłaWu, Zihao, Yiyun Chen, Yuanli Zhu, Xiangyang Feng, Jianxiong Ou, Guie Li, Zhaomin Tong i Qingwu Yan. "Mapping Soil Organic Carbon in Floodplain Farmland: Implications of Effective Range of Environmental Variables". Land 12, nr 6 (8.06.2023): 1198. http://dx.doi.org/10.3390/land12061198.
Pełny tekst źródłaPatterson, L. D., i G. Blouin-Demers. "Partial support for food availability and thermal quality as drivers of density and area used in Yarrow’s Spiny Lizards (Sceloporus jarrovii)". Canadian Journal of Zoology 98, nr 2 (luty 2020): 105–16. http://dx.doi.org/10.1139/cjz-2019-0166.
Pełny tekst źródłaKhoerunnisa, Fitri, Aaron Morelos-Gomez, Hideki Tanaka, Toshihiko Fujimori, Daiki Minami, Radovan Kukobat, Takuya Hayashi i in. "Metal–semiconductor transition like behavior of naphthalene-doped single wall carbon nanotube bundles". Faraday Discuss. 173 (2014): 145–56. http://dx.doi.org/10.1039/c4fd00119b.
Pełny tekst źródłaChang, Shih-Chieh, Chan-Lin Chu, Chih-Kuang Chen, Hsiang-Ning Chang, Alice M. K. Wong, Yueh-Peng Chen i Yu-Cheng Pei. "The Comparison and Interpretation of Machine-Learning Models in Post-Stroke Functional Outcome Prediction". Diagnostics 11, nr 10 (28.09.2021): 1784. http://dx.doi.org/10.3390/diagnostics11101784.
Pełny tekst źródłaShiroyama, Risa, Manna Wang i Chihiro Yoshimura. "Effect of sample size on habitat suitability estimation using random forests: a case of bluegill, Lepomis macrochirus". Annales de Limnologie - International Journal of Limnology 56 (2020): 13. http://dx.doi.org/10.1051/limn/2020010.
Pełny tekst źródłaLin, Ming-Yen, Yuan-Ming Chang, Chi-Chun Li i Wen-Cheng Chao. "Explainable Machine Learning to Predict Successful Weaning of Mechanical Ventilation in Critically Ill Patients Requiring Hemodialysis". Healthcare 11, nr 6 (21.03.2023): 910. http://dx.doi.org/10.3390/healthcare11060910.
Pełny tekst źródłaNúñez, Jorge, Catalina B. Cortés i Marjorie A. Yáñez. "Explainable Artificial Intelligence in Hydrology: Interpreting Black-Box Snowmelt-Driven Streamflow Predictions in an Arid Andean Basin of North-Central Chile". Water 15, nr 19 (26.09.2023): 3369. http://dx.doi.org/10.3390/w15193369.
Pełny tekst źródłaTran, Anh-Tuan, Thanh-Hai Le i Huu May Nguyen. "Forecast of surface chloride concentration of concrete utilizing ensemble decision tree boosted". Journal of Science and Transport Technology 2, nr 1 (25.03.2022): 44–56. http://dx.doi.org/10.58845/jstt.utt.2022.en57.
Pełny tekst źródłaJung, Jinwoo, Jihwan Kim i Changha Jin. "DOES MACHINE LEARNING PREDICTION DAMPEN THE INFORMATION ASYMMETRY FOR NON-LOCAL INVESTORS?" International Journal of Strategic Property Management 26, nr 5 (14.11.2022): 345–61. http://dx.doi.org/10.3846/ijspm.2022.17590.
Pełny tekst źródłaTran, Anh-Tuan, Thanh-Hai Le i Huu May Nguyen. "Forecast of surface chloride concentration of concrete utilizing ensemble decision tree boosted". Journal of Science and Transport Technology 2, nr 1 (25.03.2022): 44–56. http://dx.doi.org/10.58845/jstt.utt.2022.en.2.44-56.
Pełny tekst źródłaTran, Anh-Tuan, Thanh-Hai Le i Huu May Nguyen. "Forecast of surface chloride concentration of concrete utilizing ensemble decision tree boosted". Journal of Science and Transport Technology 2, nr 1 (25.03.2022): 44–56. http://dx.doi.org/10.58845/jstt.utt.2022.en.2.1.44-56.
Pełny tekst źródłaZhang, Yupeng, Lin Cheng, Aonan Pan, Chengyang Hu i Kaiming Wu. "Phase Transformation Temperature Prediction in Steels via Machine Learning". Materials 17, nr 5 (29.02.2024): 1117. http://dx.doi.org/10.3390/ma17051117.
Pełny tekst źródłaZhang, Shuai, Emmanuel John M. Carranza, Changliang Fu, Wenzhi Zhang i Xiang Qin. "Interpretable Machine Learning for Geochemical Anomaly Delineation in the Yuanbo Nang District, Gansu Province, China". Minerals 14, nr 5 (10.05.2024): 500. http://dx.doi.org/10.3390/min14050500.
Pełny tekst źródłaKim, Gil-jae, i Byoung-joo Kim. "Analysis of Factors Influencing Satisfaction on Kindergarten Information Disclosure Using Machine Learning". Korean Society for the Economics and Finance of Education 32, nr 3 (30.09.2023): 187–214. http://dx.doi.org/10.46967/jefe.2023.32.3.187.
Pełny tekst źródłaReyes-Urrutia, Andres, Juan Pablo Capossio, Cesar Venier, Erick Torres, Rosa Rodriguez i Germán Mazza. "Artificial Neural Network Prediction of Minimum Fluidization Velocity for Mixtures of Biomass and Inert Solid Particles". Fluids 8, nr 4 (11.04.2023): 128. http://dx.doi.org/10.3390/fluids8040128.
Pełny tekst źródłaLee, Do-Hyun, Sang-Hun Lee, Saem-Ee Woo, Min-Woong Jung, Do-yun Kim i Tae-Young Heo. "Prediction of Complex Odor from Pig Barn Using Machine Learning and Identifying the Influence of Variables Using Explainable Artificial Intelligence". Applied Sciences 12, nr 24 (16.12.2022): 12943. http://dx.doi.org/10.3390/app122412943.
Pełny tekst źródłaQiu, Haijun, Yao Xu, Bingzhe Tang, Lingling Su, Yijun Li, Dongdong Yang i Mohib Ullah. "Interpretable Landslide Susceptibility Evaluation Based on Model Optimization". Land 13, nr 5 (8.05.2024): 639. http://dx.doi.org/10.3390/land13050639.
Pełny tekst źródłaZeng, Yelong, Li Jia, Min Jiang, Chaolei Zheng, Massimo Menenti, Ali Bennour i Yunzhe Lv. "Hydrological Factor and Land Use/Land Cover Change Explain the Vegetation Browning in the Dosso Reserve, Niger". Remote Sensing 16, nr 10 (13.05.2024): 1728. http://dx.doi.org/10.3390/rs16101728.
Pełny tekst źródłaYu, Chenyan, Yao Li, Minyue Yin, Jingwen Gao, Liting Xi, Jiaxi Lin, Lu Liu i in. "Automated Machine Learning in Predicting 30-Day Mortality in Patients with Non-Cholestatic Cirrhosis". Journal of Personalized Medicine 12, nr 11 (19.11.2022): 1930. http://dx.doi.org/10.3390/jpm12111930.
Pełny tekst źródłaPassera, Roberto, Sofia Zompi, Jessica Gill i Alessandro Busca. "Explainable Machine Learning (XAI) for Survival in Bone Marrow Transplantation Trials: A Technical Report". BioMedInformatics 3, nr 3 (1.09.2023): 752–68. http://dx.doi.org/10.3390/biomedinformatics3030048.
Pełny tekst źródłaLiu, Chengcheng, Xuandong Wang, Weidong Cai, Yazhou He i Hang Su. "Machine Learning Aided Prediction of Glass-Forming Ability of Metallic Glass". Processes 11, nr 9 (21.09.2023): 2806. http://dx.doi.org/10.3390/pr11092806.
Pełny tekst źródłaGaevskii, A., i D. Diomin. "INFLUENCE OF SOLAR PANELS TILT ANGLE AND GROUND COVER RATIO ON PV PLANT PERFORMANCE". Alternative Energy and Ecology (ISJAEE), nr 25-30 (7.12.2018): 12–24. http://dx.doi.org/10.15518/isjaee.2018.25-30.012-024.
Pełny tekst źródłaFohlmeister, Jürgen F. "Voltage gating by molecular subunits of Na+ and K+ ion channels: higher-dimensional cubic kinetics, rate constants, and temperature". Journal of Neurophysiology 113, nr 10 (czerwiec 2015): 3759–77. http://dx.doi.org/10.1152/jn.00551.2014.
Pełny tekst źródłaSridhar, Srinivasan, Bradley Whitaker, Amy Mouat-Hunter i Bernadette McCrory. "Predicting Length of Stay using machine learning for total joint replacements performed at a rural community hospital". PLOS ONE 17, nr 11 (10.11.2022): e0277479. http://dx.doi.org/10.1371/journal.pone.0277479.
Pełny tekst źródłaKim, Hyun Woo, Dakota McCarty i Minju Jeong. "Examining Commercial Crime Call Determinants in Alley Commercial Districts before and after COVID-19: A Machine Learning-Based SHAP Approach". Applied Sciences 13, nr 21 (26.10.2023): 11714. http://dx.doi.org/10.3390/app132111714.
Pełny tekst źródłaNagy, Marcell. "Lemorzsolódás előrejelzése személyre szabott értelmezhető gépi tanulási módszerek segítségével". Scientia et Securitas 3, nr 3 (6.04.2023): 270–81. http://dx.doi.org/10.1556/112.2022.00107.
Pełny tekst źródłaWang, Xiaoxiao, Lan Wang, Mingsheng Shang, Lirong Song i Kun Shan. "Revealing Physiochemical Factors and Zooplankton Influencing Microcystis Bloom Toxicity in a Large-Shallow Lake Using Bayesian Machine Learning". Toxins 14, nr 8 (2.08.2022): 530. http://dx.doi.org/10.3390/toxins14080530.
Pełny tekst źródłaHuang, Di, Zhennan Li, Kuo Wang, Haixin Zhou, Xiaojie Zhao, Xinyu Peng, Rui Zhang, Jipeng Wu, Jiaojiao Liang i Ling Zhao. "Probing the Effect of Photovoltaic Material on Voc in Ternary Polymer Solar Cells with Non-Fullerene Acceptors by Machine Learning". Polymers 15, nr 13 (5.07.2023): 2954. http://dx.doi.org/10.3390/polym15132954.
Pełny tekst źródłaGe, Yuankai, Longlong Zhao, Jinsong Chen, Xiaoli Li, Hongzhong Li, Zhengxin Wang i Yanni Ren. "Study on Soil Erosion Driving Forces by Using (R)USLE Framework and Machine Learning: A Case Study in Southwest China". Land 12, nr 3 (8.03.2023): 639. http://dx.doi.org/10.3390/land12030639.
Pełny tekst źródłaFedyk, Tamara. "Memoir structures of the narrative in the play Tetyana Ivashenko «The Mystery of Being»". Vìsnik Marìupolʹsʹkogo deržavnogo unìversitetu. Serìâ: Fìlologìâ 15, nr 26-27 (2022): 194–201. http://dx.doi.org/10.34079/2226-3055-2022-15-26-27-194-201.
Pełny tekst źródłaXia, Yu, Ta Xu, Ming-Xia Wei, Zhen-Ke Wei i Lian-Jie Tang. "Predicting Chain’s Manufacturing SME Credit Risk in Supply Chain Finance Based on Machine Learning Methods". Sustainability 15, nr 2 (6.01.2023): 1087. http://dx.doi.org/10.3390/su15021087.
Pełny tekst źródłaKim, Ki Hong, Jeong Ho Park, Young Sun Ro, Ki Jeong Hong, Kyoung Jun Song i Sang Do Shin. "Emergency department routine data and the diagnosis of acute ischemic heart disease in patients with atypical chest pain". PLOS ONE 15, nr 11 (5.11.2020): e0241920. http://dx.doi.org/10.1371/journal.pone.0241920.
Pełny tekst źródłaShi, Guifang, i Limei Luo. "Prediction and Impact Analysis of Passenger Flow in Urban Rail Transit in the Postpandemic Era". Journal of Advanced Transportation 2023 (2.08.2023): 1–12. http://dx.doi.org/10.1155/2023/3448864.
Pełny tekst źródłaChoi, Jiyoun. "Exploring influential factors on elementary and middle school students’ reading practice using random forests". Korean Association For Learner-Centered Curriculum And Instruction 24, nr 8 (30.04.2024): 239–50. http://dx.doi.org/10.22251/jlcci.2024.24.8.239.
Pełny tekst źródłaGreenwell, Brandon,M. "pdp: An R Package for Constructing Partial Dependence Plots". R Journal 9, nr 1 (2017): 421. http://dx.doi.org/10.32614/rj-2017-016.
Pełny tekst źródłaJohnson, Phillip, Anna Trybala i Victor Starov. "Kinetics of Spreading over Porous Substrates". Colloids and Interfaces 3, nr 1 (15.03.2019): 38. http://dx.doi.org/10.3390/colloids3010038.
Pełny tekst źródłaSpinolo, Giorgio, Umberto Anselmi-Tamburini i Paolo Ghigna. "An Exact and Simple Approach to log-log Plots for Defect and Ionic Equilibria". Zeitschrift für Naturforschung A 52, nr 8-9 (1.09.1997): 629–36. http://dx.doi.org/10.1515/zna-1997-8-914.
Pełny tekst źródłaZhang, Weichun, Yunyi Zhang, Xin Zhang, Wei Wu i Hongbin Liu. "The Spatiotemporal Variability of Soil Available Phosphorus and Potassium in Karst Region: The Crucial Role of Socio-Geographical Factors". Land 13, nr 6 (18.06.2024): 882. http://dx.doi.org/10.3390/land13060882.
Pełny tekst źródłaShyr, David C., Bing Melody Zhang, Robertson Parkman i Simon E. Brewer. "Machine Learning Methods to Better Predict Post-Hematopoietic Stem Cell Transplant (HSCT) Leukemic Relapse in Pediatric Patients with Acute Lymphoblastic Leukemia: Random Forest (RF) Classification Featuring Serial Post-Transplant Lineage-Specific Chimerism". Blood 136, Supplement 1 (5.11.2020): 6–7. http://dx.doi.org/10.1182/blood-2020-139104.
Pełny tekst źródłaZhao, Xiaohua, Haiyi Yang, Ying Yao, Hang Qi, Miao Guo i Yuelong Su. "Factors affecting traffic risks on bridge sections of freeways based on partial dependence plots". Physica A: Statistical Mechanics and its Applications 598 (lipiec 2022): 127343. http://dx.doi.org/10.1016/j.physa.2022.127343.
Pełny tekst źródłaShi, Haoze, Naisen Yang, Xin Yang i Hong Tang. "Clarifying Relationship between PM2.5 Concentrations and Spatiotemporal Predictors Using Multi-Way Partial Dependence Plots". Remote Sensing 15, nr 2 (6.01.2023): 358. http://dx.doi.org/10.3390/rs15020358.
Pełny tekst źródłaBaidada, Chafik, Hamid Hrimech, Mustapha Aatila, Mohamed Lachgar i Younes Ommane. "Machine learning for real-time prediction of complications induced by flexible uretero-renoscopy with laser lithotripsy". International Journal of Electrical and Computer Engineering (IJECE) 14, nr 1 (1.02.2024): 971. http://dx.doi.org/10.11591/ijece.v14i1.pp971-982.
Pełny tekst źródłaSzepannaek, Gero, i Karsten Lübke. "How much do we see? On the explainability of partial dependence plots for credit risk scoring". Argumenta Oeconomica 2023, nr 2 (2023): 137–50. http://dx.doi.org/10.15611/aoe.2023.1.07.
Pełny tekst źródłaJohnson, Paul M., William Barbour, Janey V. Camp i Hiba Baroud. "Using machine learning to examine freight network spatial vulnerabilities to disasters: A new take on partial dependence plots". Transportation Research Interdisciplinary Perspectives 14 (czerwiec 2022): 100617. http://dx.doi.org/10.1016/j.trip.2022.100617.
Pełny tekst źródłaBegum, Zareena, P. B. Sandhya Sri, D. B. Karuna Kumar, K. Rayapa Reddy i C. Rambabu. "Partial molar volumes partial molar adiabatic compressibilities and molar Gibbs energies of anisaldehyde with some alkoxyethanols — Insights through plots showing compositional, volumetric and temperature dependence". Journal of Molecular Liquids 184 (sierpień 2013): 33–42. http://dx.doi.org/10.1016/j.molliq.2013.04.007.
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