„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• Interpretable machine learning models for classifying low back pain status using functional physiological variables
  Liew, Bernard X. W. ; Rugamer, David ; Nunzio, Alessandro Marco De ; Falla, Deborah
• Systematic comparison of five machine-learning models in classification and interpolation of soil particle size fractions using different transformed data
  Zhang, Mo ; Shi, Wenjiao ; Xu, Ziwei
• Forecasting of Groundwater Level Using Ensemble Hybrid Wavelet–Self-adaptive Extreme Learning Machine-Based Models
  Yosefvand, Fariborz ; Shabanlou, Saeid
• Machine-learning models, cost matrices, and conservation-based reduction of selected landscape classification errors
  Gutzwiller, Kevin J. ; Chaudhary, Anand
• Prediction of pulmonary pressure after Glenn shunts by computed tomography–based machine learning models
  Huang, Lei ; Li, Jiahua ; Huang, Meiping ; Zhuang, Jian ; Yuan, Haiyun ; Jia, Qianjun ; Zeng, Dewen ; Que, Lifeng ; Xi, Yue ; Lin, Jijin ; Dong, Yuhao
• Prediction of baking quality using machine learning based intelligent models
  Isleroglu, Hilal ; Beyhan, Selami
• Comparative assessment of bivariate, multivariate and machine learning models for mapping flood proneness
  Al-Abadi, Alaa M. ; Al-Najar, Noor A.
• Fully bayesian vehicle tracking using extended object models
  Scheel, Alexander 2019 Universität Ulm, Institut für Mess-, Regel- und Mikrotechnik
• The Game of Drones: rapid agent-based machine-learning models for multi-UAV path planning
  Zohdi, T. I.
• Validating the validation: reanalyzing a large-scale comparison of deep learning and machine learning models for bioactivity prediction
  Robinson, Matthew C. ; Glen, Robert C. ; Lee, Alpha A.
• Development and validation of machine learning models to predict gastrointestinal leak and venous thromboembolism after weight loss surgery: an analysis of the MBSAQIP database
  Nudel, Jacob ; Bishara, Andrew M. ; Geus, Susanna W. L. de ; Patil, Prasad ; Srinivasan, Jayakanth ; Hess, Donald T. ; Woodson, Jonathan
• Approaches for a New Generation of Fast-Computing Catalyst Models – How Artificial Intelligence and Machine Learning Could Revolutionize Catalyst Simulations
  März, Christian ; Werfel, Johannes ; Kühne, Joana ; Scholz, Robert
• Artificial Intelligence: A New Tool in Operating Room Management. Role of Machine Learning Models in Operating Room Optimization
  Bellini, Valentina ; Guzzon, Marco ; Bigliardi, Barbara ; Mordonini, Monica ; Filippelli, Serena ; Bignami, Elena
• Recent progress in augmenting turbulence models with physics-informed machine learning
  Zhang, Xinlei ; Wu, Jinlong ; Coutier-Delgosha, Olivier ; Xiao, Heng
• Benchmarking machine learning models for late-onset alzheimer’s disease prediction from genomic data
  De Velasco Oriol, Javier ; Vallejo, Edgar E. ; Estrada, Karol ; Taméz Peña, José Gerardo ; Disease Neuroimaging Initiative, The Alzheimer’s
• An automated 3D modeling pipeline for constructing 3D models of MONOGENEAN HARDPART using machine learning techniques
  Teo, Bee Guan ; Dhillon, Sarinder Kaur
• Open-source QSAR models for pKa prediction using multiple machine learning approaches
  Mansouri, Kamel ; Cariello, Neal F. ; Korotcov, Alexandru ; Tkachenko, Valery ; Grulke, Chris M. ; Sprankle, Catherine S. ; Allen, David ; Casey, Warren M. ; Kleinstreuer, Nicole C. ; Williams, Antony J.
• Prediction of intrapartum fetal hypoxia considering feature selection algorithms and machine learning models
  Cömert, Zafer ; Şengür, Abdulkadir ; Budak, Ümit ; Kocamaz, Adnan Fatih
• Prediction of P-glycoprotein inhibitors with machine learning classification models and 3D-RISM-KH theory based solvation energy descriptors
  Hinge, Vijaya Kumar ; Roy, Dipankar ; Kovalenko, Andriy
• Application and comparison of several machine learning algorithms and their integration models in regression problems
  Huang, Jui-Chan ; Ko, Kuo-Min ; Shu, Ming-Hung ; Hsu, Bi-Min