„Feature Model“
Suchergebnisse
3.502 Treffer
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Multiple classifier systems – 11th international workshop ; proceedings
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Performance characteristics of an FT MS‐based workflow for label‐free differential MS analysis of human plasma: standards, reproducibility, targeted feature investigation, and application to a model of controlled myocardial infarction
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Cuckoo-Inspired Algorithms for Selecting Features in the Prediction of Diabetes Using Machine Learning Models
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hERG-MFFGNN: An Explainable Deep Learning Model for Predicting Cardiotoxicity Using Multi-feature Fusion and Graph Neural Networks
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A hybrid ViT-CNN model with attention mechanism and dual feature selection for cervical cancer detection
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Engineered model of t(7;12)(q36;p13) AML recapitulates patient-specific features and gene expression profiles
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Synthesis, Structure, and Conformational Features of α‐Cycloaltrin: A Cycloeligosaccharide with Alternating 4 C 1/1 C 4 Pyranoid Chairs †
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Analysis of MRI and CT-based radiomics features for personalized treatment in locally advanced rectal cancer and external validation of published radiomics models
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Molecular Features Underlying the Perception of Astringency as Probed by Molecular Modeling
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Quantification of Interpatient 12-lead ECG Variabilities within a Healthy Cohort
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MIND YOUR GREY TONES – EXAMINING THE INFLUENCE OF DECOLOURIZATION METHODS ON INTEREST POINT EXTRACTION AND MATCHING FOR ARCHITECTURAL IMAGE-BASED MODELLING
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MLBGK: A Novel Feature Fusion Model for Forecasting Stocks Prices
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Refining the Structural Features of Chromones as Selective MAO‐B Inhibitors: Exploration of Combined Pharmacophore‐Based 3D‐QSAR and Quantum Chemical Studies
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Feature ranking for multi-target regression
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Medical Image Processing – Multimodal Fusion Techniques
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Comparing Confidence and Trust Online and Offline
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Two-dimensional Regression Modelling with Copula Dependencies and a Focus on Count Data and Sports Applications
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The yeast prion domain Sup35 NM models features of human neurodegenerative diseases in vivo
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Improvement of Prosody Modeling Using Semantic Role Labeling, Hybrid Feature Selection and BPSO–PSO–Optimized RNN
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Handcrafted Feature and Deep Features Based Image Classification Using Machine Learning Models