„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• Predicting complications after laparoscopic surgery for ureteropelvic junction obstruction using machine learning models: a retrospective cohort study
  Zhang, Xintao ; Sun, Dong ; Zhou, Yu ; Xu, Qiongqian ; Ren, Xue ; Han, Jichang ; Ma, Chuncan ; Ma, Guohua ; Sun, Zhihao ; Jia, Yu ; Zhou, Zhihang ; Liu, Xiaoyang ; Zhang, Qiangye ; Li, Aiwu
• Interpretable machine learning models for prolonged Emergency Department wait time prediction
  Wang, Hao ; Sambamoorthi, Nethra ; Sandlin, Devin ; Sambamoorthi, Usha
• Separation of stroke from vestibular neuritis using the video head impulse test: machine learning models versus expert clinicians
  Wang, Chao ; Sreerama, Jeevan ; Nham, Benjamin ; Reid, Nicole ; Ozalp, Nese ; Thomas, James O. ; Cappelen-Smith, Cecilia ; Calic, Zeljka ; Bradshaw, Andrew P. ; Rosengren, Sally M. ; Akdal, Gülden ; Halmagyi, G. Michael ; Black, Deborah A. ; Burke, David ; Prasad, Mukesh ; Bharathy, Gnana K. ; Welgampola, Miriam S.
• Improving empirical models and forecasts with saturation-based machine learning
  Martinez, Andrew B. ; Ericsson, Neil R.
• Enhancing malware detection with feature selection and scaling techniques using machine learning models
  Hasan, Rakibul ; Biswas, Barna ; Samiun, Md ; Saleh, Mohammad Abu ; Prabha, Mani ; Akter, Jahanara ; Joya, Fatema Haque ; Abdullah, Masuk
• Reply to: Comment on “Machine learning enhanced analysis of EBSD data for texture representation”
  Wanni, J. ; Bronkhorst, C. A. ; Thoma, D. J.
• Leveraging high-throughput molecular simulations and machine learning for the design of chemical mixtures
  Chew, Alex K. ; Afzal, Mohammad Atif Faiz ; Kaplan, Zachary ; Collins, Eric M. ; Gattani, Suraj ; Misra, Mayank ; Chandrasekaran, Anand ; Leswing, Karl ; Halls, Mathew D.
• Establishment and Clinical Transformation of a Prediction Model for Acute Postoperative Pain in Patients Undergoing Gastrointestinal Cancer Surgery Based on Synchronous Optimization Machine Learning Models
  Li, Xiangnan ; Shi, Xiuquan
• Query Languages for Neural Networks
  Grohe, Martin ; Standke, Christoph ; Steegmans, Juno ; Van den Bussche, Jan 2025 Schloss Dagstuhl – Leibniz-Zentrum für Informatik
• Rethinking the Role of Bayesianism in the Age of Modern AI (Dagstuhl Seminar 24461)
  Fortuin, Vincent ; Khan, Mohammad Emtiyaz ; van der Wilk, Mark ; Ghahramani, Zoubin ; Fisher, Katharine
• Do Machine Learning Models Produce TypeScript Types That Type Check? (Artifact)
  Yee, Ming-Ho ; Guha, Arjun
• Neurons and Symbols: A Manifesto
  d'Avila Garcez, Artur S.
• Learning-based model identification for greenhouse climate control
  Fink, Michael ; Daniels, Annalena ; García-Mañas, Francisco ; Rodríguez, Francisco ; Leibold, Marion ; Wollherr, Dirk
• Machine learning-based prediction models for renal impairment in Chinese adults with hyperuricaemia: risk factor analysis
  Wu, Tianchen ; Yang, Hui ; Chen, Jinbin ; Kong, Wenwen
• Discovering nuclear models from symbolic machine learning
  Munoz, Jose M. ; Udrescu, Silviu M. ; Garcia Ruiz, Ronald
• Use of machine learning algorithms to construct models of symptom burden cluster risk in breast cancer patients undergoing chemotherapy
  Huang, Qingmei ; Yang, Yang ; Yuan, Changrong ; Zhang, Wen ; Zong, Xuqian ; Wu, Fulei
• Artificial Intelligence and Artificial Ignorance (Invited Talk)
  Gottlob, Georg 2024 Schloss Dagstuhl – Leibniz-Zentrum für Informatik
• Exploring the Potential of Machine and Deep Learning Models for OpenStreetMap Data Quality Assessment and Improvement (Short Paper)
  Miloudi, Salim ; Meguenni, Bouhadjar 2023 Schloss Dagstuhl – Leibniz-Zentrum für Informatik
• Proof Repair Infrastructure for Supervised Models: Building a Large Proof Repair Dataset
  Reichel, Tom ; Henderson, R. Wesley ; Touchet, Andrew ; Gardner, Andrew ; Ringer, Talia 2023 Schloss Dagstuhl – Leibniz-Zentrum für Informatik
• Do Machine Learning Models Produce TypeScript Types That Type Check?
  Yee, Ming-Ho ; Guha, Arjun 2023 Schloss Dagstuhl – Leibniz-Zentrum für Informatik