„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• Risk of bias of prognostic models developed using machine learning: a systematic review in oncology
  Dhiman, Paula ; Ma, Jie ; Andaur Navarro, Constanza L. ; Speich, Benjamin ; Bullock, Garrett ; Damen, Johanna A. A. ; Hooft, Lotty ; Kirtley, Shona ; Riley, Richard D. ; Van Calster, Ben ; Moons, Karel G. M. ; Collins, Gary S.
• The Potential of Hybrid Mechanistic/Data‐Driven Approaches for Reduced Dynamic Modeling: Application to Distillation Columns
  Schäfer, Pascal ; Caspari, Adrian ; Schweidtmann, Artur M. ; Vaupel, Yannic ; Mhamdi, Adel ; Mitsos, Alexander
• Shear stress distribution prediction in symmetric compound channels using data mining and machine learning models
  Sheikh Khozani, Zohreh ; Khosravi, Khabat ; Torabi, Mohammadamin ; Mosavi, Amir ; Rezaei, Bahram ; Rabczuk, Timon
• Development of prediction models for shear strength of SFRCB using a machine learning approach
  Sarveghadi, Masoud ; Gandomi, Amir H. ; Bolandi, Hamed ; Alavi, Amir H.
• Enhancing solar photovoltaic energy production prediction using diverse machine learning models tuned with the chimp optimization algorithm
  Al-Dahidi, Sameer ; Alrbai, Mohammad ; Alahmer, Hussein ; Rinchi, Bilal ; Alahmer, Ali
• The structure dilemma in biological and artificial neural networks
  Pircher, Thomas ; Pircher, Bianca ; Schlücker, Eberhard ; Feigenspan, Andreas 2021 Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
• Novel Extreme Learning Machine-Multi-Verse Optimization Model for Predicting Peak Particle Velocity Induced by Mine Blasting
  Zhang, Xiliang ; Nguyen, Hoang ; Choi, Yosoon ; Bui, Xuan Nam ; Zhou, Jian
• Optimal inputs for machine learning models in predicting total joint arthroplasty outcomes: a systematic review
  Sanghvi, Parshva A. ; Shah, Aakash K. ; Hecht, Christian J. ; Karimi, Amir H. ; Kamath, Atul F.
• Capturing and incorporating expert knowledge into machine learning models for quality prediction in manufacturing
  Link, Patrick ; Poursanidis, Miltiadis ; Schmid, Jochen ; Zache, Rebekka ; Kurnatowski, Martin von ; Teicher, Uwe ; Ihlenfeldt, Steffen
• Partitioning soil organic carbon into its centennially stable and active fractions with machine-learning models based on Rock-Eval<span style="position:relative; bottom:0.5em; " class="text">®</span> thermal analysis (PARTY_SOCv2.0 and PARTY_SOCv2.0_EU)
  Cécillon, Lauric ; Baudin, François ; Chenu, Claire ; Christensen, Bent T. ; Franko, Uwe ; Houot, Sabine ; Kanari, Eva ; Kätterer, Thomas ; Merbach, Ines ; van Oort, Folkert ; Poeplau, Christopher ; Quezada, Juan Carlos ; Savignac, Florence ; Soucémarianadin, Laure N. ; Barré, Pierre
• Robust machine learning models: linear and nonlinear
  Giudici, Paolo ; Raffinetti, Emanuela ; Riani, Marco
• Semantic segmentation of methane plumes with hyperspectral machine learning models
  Růžička, Vít ; Mateo-Garcia, Gonzalo ; Gómez-Chova, Luis ; Vaughan, Anna ; Guanter, Luis ; Markham, Andrew
• Machine learning models for 180-day mortality prediction of patients with advanced cancer using patient-reported symptom data
  Xu, Cai ; Subbiah, Ishwaria M. ; Lu, Sheng-Chieh ; Pfob, André ; Sidey-Gibbons, Chris
• Machine Learning Algorithms for Learning Nonlinear Terms of Reduced Mechanical Models in Explicit Structural Dynamics
  Kneifl, Jonas ; Fehr, Jörg
• Emergency department triage prediction of clinical outcomes using machine learning models
  Raita, Yoshihiko ; Goto, Tadahiro ; Faridi, Mohammad Kamal ; Brown, David F. M. ; Camargo, Carlos A. ; Hasegawa, Kohei
• Building machine learning prediction models for well-being using predictors from the exposome and genome in a population cohort
  Pelt, Dirk H. M. ; Habets, Philippe C. ; Vinkers, Christiaan H. ; Ligthart, Lannie ; Beijsterveldt, Catharina E. M. van ; Pool, René ; Bartels, Meike
• Classifying Three-Wall Intrabony Defects from Intraoral Radiographs Using Deep Learning–Based Convolutional Neural Network Models
  Piroonsan, Kanteera ; Pimolbutr, Kununya ; Tansriratanawong, Kallapat
• Mapping the landscape of machine learning models used for predicting transfusions in surgical procedures: a scoping review
  Duranteau, Olivier ; Blanchard, Florian ; Popoff, Benjamin ; Etten-Jamaludin, Faridi S. van ; Tuna, Turgay ; Preckel, Benedikt
• Interpretable Machine Learning Models for Irrigation Sustainability: Groundwater Quality Prediction in M’sila, Algeria
  Zegaar, Aymen ; Telli, Abdelmoutia ; Ounoki, Samira ; Shahabi, Himan
• Estimation of Potato Water Footprint Using Machine Learning Algorithm Models in Arid Regions
  Abdel-Hameed, Amal Mohamed ; Abuarab, Mohamed ; Al-Ansari, Nadhir ; Sayed, Hazem ; Kassem, Mohamed A. ; Elbeltagi, Ahmed ; Mokhtar, Ali