Journal articles on the topic 'Partial Dependence Plot'
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Yan, Miaomiao, and Yindong Shen. "Traffic Accident Severity Prediction Based on Random Forest." Sustainability 14, no. 3 (February 2, 2022): 1729. http://dx.doi.org/10.3390/su14031729.
Dewan, Isha, and Subhash Kochar. "SOME NEW APPLICATIONS OF P–P PLOTS." Probability in the Engineering and Informational Sciences 27, no. 3 (March 28, 2013): 353–66. http://dx.doi.org/10.1017/s0269964813000077.
Lee, Changro. "Training and Interpreting Machine Learning Models: Application in Property Tax Assessment." Real Estate Management and Valuation 30, no. 1 (March 1, 2022): 13–22. http://dx.doi.org/10.2478/remav-2022-0002.
Fu, Xiao. "The D e (T, t) plot: A straightforward self-diagnose tool for post-IR IRSL dating procedures." Geochronometria 41, no. 4 (December 1, 2014): 315–26. http://dx.doi.org/10.2478/s13386-013-0167-9.
Tran, Van Quan. "Predicting and Investigating the Permeability Coefficient of Soil with Aided Single Machine Learning Algorithm." Complexity 2022 (September 25, 2022): 1–18. http://dx.doi.org/10.1155/2022/8089428.
Wu, Zihao, Yiyun Chen, Yuanli Zhu, Xiangyang Feng, Jianxiong Ou, Guie Li, Zhaomin Tong, and Qingwu Yan. "Mapping Soil Organic Carbon in Floodplain Farmland: Implications of Effective Range of Environmental Variables." Land 12, no. 6 (June 8, 2023): 1198. http://dx.doi.org/10.3390/land12061198.
Patterson, L. D., and 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, no. 2 (February 2020): 105–16. http://dx.doi.org/10.1139/cjz-2019-0166.
Khoerunnisa, Fitri, Aaron Morelos-Gomez, Hideki Tanaka, Toshihiko Fujimori, Daiki Minami, Radovan Kukobat, Takuya Hayashi, et al. "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.
Chang, Shih-Chieh, Chan-Lin Chu, Chih-Kuang Chen, Hsiang-Ning Chang, Alice M. K. Wong, Yueh-Peng Chen, and Yu-Cheng Pei. "The Comparison and Interpretation of Machine-Learning Models in Post-Stroke Functional Outcome Prediction." Diagnostics 11, no. 10 (September 28, 2021): 1784. http://dx.doi.org/10.3390/diagnostics11101784.
Shiroyama, Risa, Manna Wang, and 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.
Lin, Ming-Yen, Yuan-Ming Chang, Chi-Chun Li, and Wen-Cheng Chao. "Explainable Machine Learning to Predict Successful Weaning of Mechanical Ventilation in Critically Ill Patients Requiring Hemodialysis." Healthcare 11, no. 6 (March 21, 2023): 910. http://dx.doi.org/10.3390/healthcare11060910.
Núñez, Jorge, Catalina B. Cortés, and 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, no. 19 (September 26, 2023): 3369. http://dx.doi.org/10.3390/w15193369.
Tran, Anh-Tuan, Thanh-Hai Le, and Huu May Nguyen. "Forecast of surface chloride concentration of concrete utilizing ensemble decision tree boosted." Journal of Science and Transport Technology 2, no. 1 (March 25, 2022): 44–56. http://dx.doi.org/10.58845/jstt.utt.2022.en57.
Jung, Jinwoo, Jihwan Kim, and Changha Jin. "DOES MACHINE LEARNING PREDICTION DAMPEN THE INFORMATION ASYMMETRY FOR NON-LOCAL INVESTORS?" International Journal of Strategic Property Management 26, no. 5 (November 14, 2022): 345–61. http://dx.doi.org/10.3846/ijspm.2022.17590.
Tran, Anh-Tuan, Thanh-Hai Le, and Huu May Nguyen. "Forecast of surface chloride concentration of concrete utilizing ensemble decision tree boosted." Journal of Science and Transport Technology 2, no. 1 (March 25, 2022): 44–56. http://dx.doi.org/10.58845/jstt.utt.2022.en.2.44-56.
Tran, Anh-Tuan, Thanh-Hai Le, and Huu May Nguyen. "Forecast of surface chloride concentration of concrete utilizing ensemble decision tree boosted." Journal of Science and Transport Technology 2, no. 1 (March 25, 2022): 44–56. http://dx.doi.org/10.58845/jstt.utt.2022.en.2.1.44-56.
Zhang, Yupeng, Lin Cheng, Aonan Pan, Chengyang Hu, and Kaiming Wu. "Phase Transformation Temperature Prediction in Steels via Machine Learning." Materials 17, no. 5 (February 29, 2024): 1117. http://dx.doi.org/10.3390/ma17051117.
Zhang, Shuai, Emmanuel John M. Carranza, Changliang Fu, Wenzhi Zhang, and Xiang Qin. "Interpretable Machine Learning for Geochemical Anomaly Delineation in the Yuanbo Nang District, Gansu Province, China." Minerals 14, no. 5 (May 10, 2024): 500. http://dx.doi.org/10.3390/min14050500.
Kim, Gil-jae, and 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, no. 3 (September 30, 2023): 187–214. http://dx.doi.org/10.46967/jefe.2023.32.3.187.
Reyes-Urrutia, Andres, Juan Pablo Capossio, Cesar Venier, Erick Torres, Rosa Rodriguez, and Germán Mazza. "Artificial Neural Network Prediction of Minimum Fluidization Velocity for Mixtures of Biomass and Inert Solid Particles." Fluids 8, no. 4 (April 11, 2023): 128. http://dx.doi.org/10.3390/fluids8040128.
Lee, Do-Hyun, Sang-Hun Lee, Saem-Ee Woo, Min-Woong Jung, Do-yun Kim, and 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, no. 24 (December 16, 2022): 12943. http://dx.doi.org/10.3390/app122412943.
Qiu, Haijun, Yao Xu, Bingzhe Tang, Lingling Su, Yijun Li, Dongdong Yang, and Mohib Ullah. "Interpretable Landslide Susceptibility Evaluation Based on Model Optimization." Land 13, no. 5 (May 8, 2024): 639. http://dx.doi.org/10.3390/land13050639.
Zeng, Yelong, Li Jia, Min Jiang, Chaolei Zheng, Massimo Menenti, Ali Bennour, and Yunzhe Lv. "Hydrological Factor and Land Use/Land Cover Change Explain the Vegetation Browning in the Dosso Reserve, Niger." Remote Sensing 16, no. 10 (May 13, 2024): 1728. http://dx.doi.org/10.3390/rs16101728.
Yu, Chenyan, Yao Li, Minyue Yin, Jingwen Gao, Liting Xi, Jiaxi Lin, Lu Liu, et al. "Automated Machine Learning in Predicting 30-Day Mortality in Patients with Non-Cholestatic Cirrhosis." Journal of Personalized Medicine 12, no. 11 (November 19, 2022): 1930. http://dx.doi.org/10.3390/jpm12111930.
Passera, Roberto, Sofia Zompi, Jessica Gill, and Alessandro Busca. "Explainable Machine Learning (XAI) for Survival in Bone Marrow Transplantation Trials: A Technical Report." BioMedInformatics 3, no. 3 (September 1, 2023): 752–68. http://dx.doi.org/10.3390/biomedinformatics3030048.
Liu, Chengcheng, Xuandong Wang, Weidong Cai, Yazhou He, and Hang Su. "Machine Learning Aided Prediction of Glass-Forming Ability of Metallic Glass." Processes 11, no. 9 (September 21, 2023): 2806. http://dx.doi.org/10.3390/pr11092806.
Gaevskii, A., and D. Diomin. "INFLUENCE OF SOLAR PANELS TILT ANGLE AND GROUND COVER RATIO ON PV PLANT PERFORMANCE." Alternative Energy and Ecology (ISJAEE), no. 25-30 (December 7, 2018): 12–24. http://dx.doi.org/10.15518/isjaee.2018.25-30.012-024.
Fohlmeister, 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, no. 10 (June 2015): 3759–77. http://dx.doi.org/10.1152/jn.00551.2014.
Sridhar, Srinivasan, Bradley Whitaker, Amy Mouat-Hunter, and Bernadette McCrory. "Predicting Length of Stay using machine learning for total joint replacements performed at a rural community hospital." PLOS ONE 17, no. 11 (November 10, 2022): e0277479. http://dx.doi.org/10.1371/journal.pone.0277479.
Kim, Hyun Woo, Dakota McCarty, and 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, no. 21 (October 26, 2023): 11714. http://dx.doi.org/10.3390/app132111714.
Nagy, Marcell. "Lemorzsolódás előrejelzése személyre szabott értelmezhető gépi tanulási módszerek segítségével." Scientia et Securitas 3, no. 3 (April 6, 2023): 270–81. http://dx.doi.org/10.1556/112.2022.00107.
Wang, Xiaoxiao, Lan Wang, Mingsheng Shang, Lirong Song, and Kun Shan. "Revealing Physiochemical Factors and Zooplankton Influencing Microcystis Bloom Toxicity in a Large-Shallow Lake Using Bayesian Machine Learning." Toxins 14, no. 8 (August 2, 2022): 530. http://dx.doi.org/10.3390/toxins14080530.
Huang, Di, Zhennan Li, Kuo Wang, Haixin Zhou, Xiaojie Zhao, Xinyu Peng, Rui Zhang, Jipeng Wu, Jiaojiao Liang, and Ling Zhao. "Probing the Effect of Photovoltaic Material on Voc in Ternary Polymer Solar Cells with Non-Fullerene Acceptors by Machine Learning." Polymers 15, no. 13 (July 5, 2023): 2954. http://dx.doi.org/10.3390/polym15132954.
Ge, Yuankai, Longlong Zhao, Jinsong Chen, Xiaoli Li, Hongzhong Li, Zhengxin Wang, and Yanni Ren. "Study on Soil Erosion Driving Forces by Using (R)USLE Framework and Machine Learning: A Case Study in Southwest China." Land 12, no. 3 (March 8, 2023): 639. http://dx.doi.org/10.3390/land12030639.
Fedyk, Tamara. "Memoir structures of the narrative in the play Tetyana Ivashenko «The Mystery of Being»." Vìsnik Marìupolʹsʹkogo deržavnogo unìversitetu. Serìâ: Fìlologìâ 15, no. 26-27 (2022): 194–201. http://dx.doi.org/10.34079/2226-3055-2022-15-26-27-194-201.
Xia, Yu, Ta Xu, Ming-Xia Wei, Zhen-Ke Wei, and Lian-Jie Tang. "Predicting Chain’s Manufacturing SME Credit Risk in Supply Chain Finance Based on Machine Learning Methods." Sustainability 15, no. 2 (January 6, 2023): 1087. http://dx.doi.org/10.3390/su15021087.
Kim, Ki Hong, Jeong Ho Park, Young Sun Ro, Ki Jeong Hong, Kyoung Jun Song, and Sang Do Shin. "Emergency department routine data and the diagnosis of acute ischemic heart disease in patients with atypical chest pain." PLOS ONE 15, no. 11 (November 5, 2020): e0241920. http://dx.doi.org/10.1371/journal.pone.0241920.
Shi, Guifang, and Limei Luo. "Prediction and Impact Analysis of Passenger Flow in Urban Rail Transit in the Postpandemic Era." Journal of Advanced Transportation 2023 (August 2, 2023): 1–12. http://dx.doi.org/10.1155/2023/3448864.
Choi, Jiyoun. "Exploring influential factors on elementary and middle school students’ reading practice using random forests." Korean Association For Learner-Centered Curriculum And Instruction 24, no. 8 (April 30, 2024): 239–50. http://dx.doi.org/10.22251/jlcci.2024.24.8.239.
Greenwell, Brandon,M. "pdp: An R Package for Constructing Partial Dependence Plots." R Journal 9, no. 1 (2017): 421. http://dx.doi.org/10.32614/rj-2017-016.
Johnson, Phillip, Anna Trybala, and Victor Starov. "Kinetics of Spreading over Porous Substrates." Colloids and Interfaces 3, no. 1 (March 15, 2019): 38. http://dx.doi.org/10.3390/colloids3010038.
Spinolo, Giorgio, Umberto Anselmi-Tamburini, and Paolo Ghigna. "An Exact and Simple Approach to log-log Plots for Defect and Ionic Equilibria." Zeitschrift für Naturforschung A 52, no. 8-9 (September 1, 1997): 629–36. http://dx.doi.org/10.1515/zna-1997-8-914.
Zhang, Weichun, Yunyi Zhang, Xin Zhang, Wei Wu, and Hongbin Liu. "The Spatiotemporal Variability of Soil Available Phosphorus and Potassium in Karst Region: The Crucial Role of Socio-Geographical Factors." Land 13, no. 6 (June 18, 2024): 882. http://dx.doi.org/10.3390/land13060882.
Shyr, David C., Bing Melody Zhang, Robertson Parkman, and 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 (November 5, 2020): 6–7. http://dx.doi.org/10.1182/blood-2020-139104.
Zhao, Xiaohua, Haiyi Yang, Ying Yao, Hang Qi, Miao Guo, and Yuelong Su. "Factors affecting traffic risks on bridge sections of freeways based on partial dependence plots." Physica A: Statistical Mechanics and its Applications 598 (July 2022): 127343. http://dx.doi.org/10.1016/j.physa.2022.127343.
Shi, Haoze, Naisen Yang, Xin Yang, and Hong Tang. "Clarifying Relationship between PM2.5 Concentrations and Spatiotemporal Predictors Using Multi-Way Partial Dependence Plots." Remote Sensing 15, no. 2 (January 6, 2023): 358. http://dx.doi.org/10.3390/rs15020358.
Baidada, Chafik, Hamid Hrimech, Mustapha Aatila, Mohamed Lachgar, and 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, no. 1 (February 1, 2024): 971. http://dx.doi.org/10.11591/ijece.v14i1.pp971-982.
Szepannaek, Gero, and Karsten Lübke. "How much do we see? On the explainability of partial dependence plots for credit risk scoring." Argumenta Oeconomica 2023, no. 2 (2023): 137–50. http://dx.doi.org/10.15611/aoe.2023.1.07.
Johnson, Paul M., William Barbour, Janey V. Camp, and 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 (June 2022): 100617. http://dx.doi.org/10.1016/j.trip.2022.100617.
Begum, Zareena, P. B. Sandhya Sri, D. B. Karuna Kumar, K. Rayapa Reddy, and 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 (August 2013): 33–42. http://dx.doi.org/10.1016/j.molliq.2013.04.007.