audio-text multimodal emotion recognition model which is robust to missing data
-
Updated
Aug 27, 2023 - Python
#
robust-modeling
Here are 3 public repositories matching this topic...
9段階のイテレーションを通じた心臓病予測の進化。統計学（標本誤差の最小化）を実戦投入し、5-Seed Averagingによる極めて高い汎化性能と実務的信頼性を実現したMLポートフォリオ。
data-science statistics cross-validation kaggle xgboost lightgbm ensemble-learning feature-engineering machine-learning-models robust-modeling feature-engineering-python validation-strategy
-
Updated
Mar 31, 2026 - Python
A robust news article classification system combines a two-stage linear analysis of SEO-driven editorial style features with an independent embedding-based semantic analysis using transformer ensemble methods, under noisy, real-world data conditions.
data-science machine-learning natural-language-processing deep-learning text-classification transformers ensemble-learning news-classification macro-f1 robust-modeling editorial-bias two-stage-classification
-
Updated
Mar 18, 2026 - Jupyter Notebook
Improve this page
Add a description, image, and links to the robust-modeling topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the robust-modeling topic, visit your repo's landing page and select "manage topics."