Decision-Aware and Interpretable Machine Learning for Cardiovascular Risk ScreeningPublished by apsathas on June 26, 2026June 26, 2026 Decision-Aware and Interpretable Machine Learning for Cardiovascular Risk Screening Shama Nishat, Logofătu Doina nishat.shama@stud.fra-uas.de, logofatu@fb2.fra-uas.de 4views AIAI,Data Mining and Information Retrieval,Decision Support Systems,eBusiness, eCommerce, eHealth, eLearning,Evaluation of AI Systems Related Videos Leveraging AI for Enhanced Breast Cancer Detection: A Focus on Dimensionality Reduction and Imbalanced Learning Chaotic Explorers: Boosting Jaya’s Diversity to Escape Premature Convergence in Multimodal Optimization The Impact of AI Advancement on Software Development Labor Market: Empirical Evidence from the United States Context-Aware Embeddings of System Events via LLMs Towards Fine-Grained Threat Detection Health Alert Detection in Outdoor Environments Using Fog Computing, Embedded Machine Learning and Federated Learning with Model Poisoning Mitigation When Not to Trade: Hawkes Intensity Burst Detection for Regime-Aware Limit Order Book Prediction Structured Grounded Reasoning: Explainable AI over Contextual Knowledge Graphs Logic-Driven Cybersecurity: A Novel Framework for System Log Anomaly Detection using Answer Set Programming Deep Learning-Based Ripeness Detection for Smart Refrigerators The strange case of XOR-CNF formulas: SAT Obfuscation and more 12»Page 1 of 2 Categories:
