„Feature-models“
Suchergebnisse
797 Treffer
-
Cover Feature: Activity‐Based Models to Predict Kinetics of Levulinic Acid Esterification (ChemPhysChem 4/2023)
-
Cover Feature: Dynamic Pd II/Cu I Multimetallic Assemblies as Molecular Models to Study Metal–Metal Cooperation in Sonogashira Coupling (Chem. Eur. J. 53/2020)
-
Temporal vocal features suggest different call-pattern generating mechanisms in mice and bats
-
Altering the trajectory of early postnatal cortical development can lead to structural and behavioural features of autism
-
Analysis of MRI and CT-based radiomics features for personalized treatment in locally advanced rectal cancer and external validation of published radiomics models
-
Cuckoo-Inspired Algorithms for Selecting Features in the Prediction of Diabetes Using Machine Learning Models
-
Analysis of MRI and CT-based radiomics features for personalized treatment in locally advanced rectal cancer and external validation of published radiomics models
-
Comparing Confidence and Trust Online and Offline
-
The yeast prion domain Sup35 NM models features of human neurodegenerative diseases in vivo
-
Handcrafted Feature and Deep Features Based Image Classification Using Machine Learning Models
-
Integration of Expert Knowledge for Interpretable Models in Biomedical Data Analysis (Dagstuhl Seminar 16261)
-
Analysis of MRI and CT-based radiomics features for personalized treatment in locally advanced rectal cancer and external validation of published radiomics models
-
Evaluating state-of-the-art #SAT solvers on industrial configuration spaces
-
Assessing choice-related brain signals during feature-continuous decision tasks
-
Benchmarking foundation models as feature extractors for weakly supervised computational pathology
-
Genome‐scale metabolic modeling reveals key features of a minimal gene set
-
Introduction to Insurance Mathematics – Technical and Financial Features of Risk Transfers
-
Introduction to Insurance Mathematics – Technical and Financial Features of Risk Transfers
-
Telling fortunes? Evaluation of traffic forecasting models using traffic and context features
-
Stacked machine learning models to classify atrial disorders based on clinical ECG features: a method to predict early atrial fibrillation