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[HTML][HTML] Enhancing breast cancer detection and classification using advanced multi-model features and ensemble machine learning techniques
Breast cancer (BC) is the most common cancer among women, making it essential to have
an accurate and dependable system for diagnosing benign or malignant tumors. It is …
an accurate and dependable system for diagnosing benign or malignant tumors. It is …
[HTML][HTML] Data-driven drift detection and diagnosis framework for predictive maintenance of heterogeneous production processes: Application to a multiple tap** …
The rise of Industry 4.0 technologies has revolutionized industries, enabled seamless data
access, and fostered data-driven methodologies for improving key production processes …
access, and fostered data-driven methodologies for improving key production processes …
Interpretable deep residual network uncovers nucleosome positioning and associated features
Nucleosomes represent elementary building units of eukaryotic chromosomes and consist of
DNA wrapped around a histone octamer flanked by linker DNA segments. Nucleosomes are …
DNA wrapped around a histone octamer flanked by linker DNA segments. Nucleosomes are …
Stroke probability prediction from medical survey data: AI-driven analysis with insightful feature importance using explainable AI (XAI)
Prioritizing dataset dependability, model performance, and interoperability is a compelling
demand for improving stroke probability prediction from medical surveys using AI in …
demand for improving stroke probability prediction from medical surveys using AI in …
Stroke Risk Prediction from Medical Survey Data: AI-Driven Risk Analysis with Insightful Feature Importance using Explainable AI (XAI)
Prioritizing dataset dependability, model performance, and interoperability is a compelling
demand for improving stroke risk prediction from medical surveys using AI in healthcare …
demand for improving stroke risk prediction from medical surveys using AI in healthcare …
WASP: Voting-based ex Ante method for Selecting joint Prediction strategy
This paper addresses the topic of choosing a prediction strategy when using parametric or
nonparametric regression models. It emphasizes the importance of ex ante prediction …
nonparametric regression models. It emphasizes the importance of ex ante prediction …
Genome-wide Nucleosome Positioning and Associated Features uncovered with Interpretable Deep Residual Networks
Nucleosomes represent elementary building units of eukaryotic chromosomes and consist of
DNA wrapped around a histone octamer flanked by linker DNA segments. Nucleosomes are …
DNA wrapped around a histone octamer flanked by linker DNA segments. Nucleosomes are …
HarmonyCo: développement d'une bibliothèque Python pour le calcul optimisé de la médiane de permutations
AIE Rabah - 2024 - papyrus.bib.umontreal.ca
Le problème de trouver la médiane d'ensembles de permutations est une tâche
d'optimisation combinatoire fondamentale et complexe avec des applications dans divers …
d'optimisation combinatoire fondamentale et complexe avec des applications dans divers …