„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• A 10 km daily-level ultraviolet radiation predicting dataset based on machine learning models in China from 2005 to 2020
  Jiang, Yichen ; Shi, Su ; Li, Xinyue ; Xu, Chang ; Kan, Haidong ; Hu, Bo ; Meng, Xia
• Analyzing Machine Learning Models Based on Explainable Artificial Intelligence Methods in Educational Analytics
  Minullin, D. A. ; Gafarov, F. M.
• Dynamic correlation analysis of sectoral electricity consumption and urban carbon concentration using machine learning models
  Teng, Yufei ; Zhang, Han ; Zhan, Yu ; Liu, Xinyi ; Chang, Zhengwei ; Chen, Yumin ; Liu, Hongli
• Meta-tuning and fast optimization of machine learning models for dynamic methane prediction in anaerobic digestion
  Meola, Alberto ; Wolf, Klara ; Weinrich, Sören 2025 FH Münster - University of Applied Sciences
• Structured Representation Learning – From Homomorphisms and Disentanglement to Equivariance and Topography
  Song, Yue ; Keller, Thomas Anderson ; Sebe, Nicu ; Welling, Max 2026 Springer Nature Switzerland, Imprint: Springer
• Moderating model marketplaces – platform governance puzzles for AI intermediaries
  Gorwa, Robert ; Veale, Michael 2024 Taylor & Francis
• Transactions on large-scale data- and knowledge-centered systems
  Hameurlain, Abdelkader ; Tjoa, A Min 2025 Springer
• Machine-learning models for Alzheimer’s disease diagnosis using neuroimaging data: survey, reproducibility, and generalizability evaluation
  Aghdam, Maryam Akhavan ; Bozdag, Serdar ; Saeed, Fahad
• MLChemE: Past, Present, and Future of Machine Learning in Chemical Engineering
  Özdemir, Pınar ; Yıldırım, Ramazan
• Development of PDAC diagnosis and prognosis evaluation models based on machine learning
  Xiao, Yingqi ; Sun, Shixin ; Zheng, Naxin ; Zhao, Jing ; Li, Xiaohan ; Xu, Jianmin ; Li, Haolian ; Du, Chenran ; Zeng, Lijun ; Zhang, Juling ; Yin, Xiuyun ; Huang, Yuan ; Yang, Xuemei ; Yuan, Fang ; Jia, Xingwang ; Li, Boan ; Li, Bo
• Change point-driven interrupted time series and machine learning models for forecasting indian food grain production
  Chitikela, Gayathri ; Rathod, Santosha ; Vijayakumar, S.
• A map of global peatland distribution created using machine learning for use in terrestrial ecosystem and earth system models
  Wu, Yuanqiao ; Chan, Ed ; Melton, Joe R. ; Verseghy, Diana L.
• Machine Learning for Timing Analysis: The Good, the Bad and the Ugly (Invited Talk)
  Puaut, Isabelle 2024 Schloss Dagstuhl – Leibniz-Zentrum für Informatik
• WORTEX: Worst-Case Execution Time and Energy Estimation in Low-Power Microprocessors Using Explainable ML
  Reymond, Hugo ; Amalou, Abderaouf Nassim ; Puaut, Isabelle 2024 Schloss Dagstuhl – Leibniz-Zentrum für Informatik
• Derivation of Constraints from Machine Learning Models and Applications to Security and Privacy
  Falaschi, Moreno ; Palamidessi, Catuscia ; Romanelli, Marco 2020 Schloss Dagstuhl – Leibniz-Zentrum für Informatik
• Predicting postoperative pulmonary infection in elderly patients undergoing major surgery: a study based on logistic regression and machine learning models
  Liu, Jie ; Li, Xia ; Wang, Yanting ; Xu, Zhenzhen ; Lv, Yong ; He, Yuyao ; Chen, Lu ; Feng, Yiqi ; Liu, Guoyang ; Bai, Yunxiao ; Xie, Wanli ; Wu, Qingping
• Prediction rotary drilling penetration rate in lateritic soils using machine learning models
  Kamdem, Eugène Gatchouessi ; Tiam, Franck Ferry Kamgue ; Ngueyep, Luc Leroy Mambou ; Wounabaissa, Olivier ; Nnomo, Hugues Richard Lembo ; Kanmogne, Abraham
• Comparative Assessment of Machine Learning Models for Groundwater Quality Prediction Using Various Parameters
  Niazkar, Majid ; Piraei, Reza ; Goodarzi, Mohammad Reza ; Abedi, Mohammad Javad
• Computational Metabolomics: Towards Molecules, Models, and their Meaning (Dagstuhl Seminar 24181)
  Ebbels, Timothy M. D. ; Hassoun, Soha ; Mathé, Ewy A. ; van der Hooft, Justin J. J. ; Chatelaine, Haley
• Space and Artificial Intelligence (Dagstuhl Seminar 23461)
  Džeroski, Sašo ; Hoos, Holger H. ; Le Saux, Bertrand ; van der Torre, Leendert ; Kostovska, Ana