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bioengineer.org > incremental-customer-clustering-using-dynamic-knowledge-graph-embeddings

Incremental customer clustering using dynamic knowledge graph embeddings

5+ day, 8+ hour ago   (45+ words) Bioengineer.org Subject of Research: A framework called IncDEC that combines dynamic knowledge graphs, BERT-based semantic embeddings, and incremental deep clustering to adapt customer segmentation in real time without full retraining, validated on the Online Retail II dataset....


bioengineer.org > new-framework-captures-multi-granularity-time-cues-for-knowledge-graph-qa

New framework captures multi-granularity time cues for knowledge graph QA

5+ day, 8+ hour ago   (11+ words) Bioengineer.org...


bioengineer.org > digital-transformation-in-central-european-construction-ai-adoption-performance-barriers

Digital transformation in Central European construction: AI adoption,

1+ week, 3+ day ago   (100+ words) Artificial intelligence has been billed as the next great leap for the construction industry, promising everything from self-optimizing schedules to generative design and autonomous safety monitoring. But a new study from Central Europe suggests that the road to AI on…...


bioengineer.org > new-shap-mcnemar-feature-selection-method-boosts-machine-learning-credit-risk-models

New SHAP-McNemar feature selection method boosts machine learning credit

2+ week, 1+ day ago   (85+ words) risk models Bioengineer.org The Algorithm That Explains Itself: Researchers Fuse Game Theory With a 1955 Statistics Test to Make AI Loan Decisions Trustworthy Subject of Research: A stepwise feature selection framework for machine learning-based credit risk modeling that integrates SHAP-based…...