„Interpretable Models“

Suchergebnisse

1.000+ Treffer

• A note on the interpretation of tree‐based regression models
  Gottard, Anna ; Vannucci, Giulia ; Marchetti, Giovanni Maria
• Integration of Expert Knowledge for Interpretable Models in Biomedical Data Analysis (Dagstuhl Seminar 16261)
  Bhanot, Gyan ; Biehl, Michael ; Villmann, Thomas ; Zühlke, Dietlind
• Interpretable Deep Learning for Diabetic Retinopathy: A Comparative Study of CNN, ViT, and Hybrid Architectures
  Zhang, Weijie ; Belcheva, Veronika ; Ermakova, Tatiana ; Chowdhury, Rafiqul 2025 Hochschule für Technik und Wirtschaft Berlin
• Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
  Rudin, Cynthia
• Sensors Data Fusion for Smart Decisions Making Using Interpretative Machine Learning Models
  Zoghlami, Feryel ; Kaden, Marika ; Villmann, Thomas ; Schneider, Germar ; Heinrich, Harald 2021 Hochschule Mittweida
• Machine learning-based models to predict type 2 diabetes combined with coronary heart disease and feature analysis-based on interpretable SHAP
  Ji, Yijian ; Shang, Hongyan ; Yi, Jing ; Zang, Wenhui ; Cao, Wenjun
• Interpretable ensembles of hyper-rectangles as base models
  Konstantinov, Andrei V. ; Utkin, Lev V.
• Interpretable Machine Learning Models for Practical Antimonate Electrocatalyst Performance
  Deo, Shyam ; Kreider, Melissa E. ; Kamat, Gaurav ; Hubert, McKenzie ; Zamora Zeledón, José A. ; Wei, Lingze ; Matthews, Jesse ; Keyes, Nathaniel ; Singh, Ishaan ; Jaramillo, Thomas F. ; Abild‐Pedersen, Frank ; Burke Stevens, Michaela ; Winther, Kirsten ; Voss, Johannes
• Surface water quality evaluation impacting drinking water sources and sanitation using water quality index, multivariate techniques, and interpretable machine learning models in Mahanadi River, Odisha (India)
  Das, Abhijeet
• An Interpretable Stacking Ensemble Model for Predicting Free Hydrocarbons Content in Shale
  Liu, Hang ; Zhou, Sandong ; Liu, Xinyu ; Cheng, Qiaoyun ; Zhang, Weixin ; Yan, Detian ; Wang, Hua
• Interpretable ensemble learning for materials property prediction with classical interatomic potentials
  Jiang, Xinyu ; Sun, Haofan ; Choudhary, Kamal ; Zhuang, Houlong ; Nian, Qiong
• An interpretable and transferable model for shallow landslides detachment combining spatial Poisson point processes and generalized additive models
  Patanè, Giulia ; Bortolotti, Teresa ; Yordanov, Vasil ; Biagi, Ludovico Giorgio Aldo ; Brovelli, Maria Antonia ; Truong, Xuan Quang ; Vantini, Simone
• Interpretable deep learning for studying the Earth system – Soil-moisture-precipitation coupling across Europe
  Tesch, Jan Tobias ; Kollet, Stefan ; Garcke, Jochen 2023 Universitäts- und Landesbibliothek Bonn
• Interpretable models of gene expression in single-cell immunology
  Fischer, David Sebastian ; Theis, Fabian ; Yosef, Nir ; Stegle, Oliver 2022 Universitätsbibliothek der TU München
• Towards formal explainability – Faithful distillation of deep neural networks into interpretable surrogate models
  Schlüter, Maximilian ; Steffen, Bernhard ; Jansen, Nils 2025 Universitätsbibliothek Dortmund
• Human-machine rationale alignment for better machine learning interpretability
  Zhang, Zijian 2025 Gottfried Wilhelm Leibniz Universität Hannover
• Visually Explaining Decisions of Deep Neural Network Classifiers in Ophthalmology
  Ilanchezian, Indu ; Berens, Philipp 2025 Universitätsbibliothek Tübingen
• Mechanistic dissection of cellular perturbations with interpretable deep learning models
  Dončević, Daria ; Herrmann, Carl 2024 Universitätsbibliothek Heidelberg
• Explainable AI for the Human-Centric Development of NLP Models – Working Towards more Interpretable, Robust, and Controllable Models
  Mosca, Edoardo ; Groh, Georg ; Said, Alan ; Rieger, Diana 2024 Universitätsbibliothek der TU München
• Lifestyle data-based multiclass obesity prediction with interpretable ensemble models incorporating SHAP and LIME analysis
  Ganie, Shahid Mohammad ; Pramanik, Pijush Kanti Dutta ; Zhao, Zhongming