Summary of Xnb: Explainable Class-specific Naive-bayes Classifier, by Jesus S. Aguilar-ruiz et al.
XNB: Explainable Class-Specific NaIve-Bayes Classifierby Jesus S. Aguilar-Ruiz, Cayetano Romero, Andrea CicconardiFirst submitted to arxiv…
Summary of Assessing Alcohol Use Disorder: Insights From Lifestyle, Background, and Family History with Machine Learning Techniques, by Chenlan Wang et al.
Assessing Alcohol Use Disorder: Insights from Lifestyle, Background, and Family History with Machine Learning Techniquesby…
Summary of Data Augmentation Via Diffusion Model to Enhance Ai Fairness, by Christina Hastings Blow et al.
Data Augmentation via Diffusion Model to Enhance AI Fairnessby Christina Hastings Blow, Lijun Qian, Camille…
Summary of Advancements in Heart Disease Prediction: a Machine Learning Approach For Early Detection and Risk Assessment, by Balaji Shesharao Ingole et al.
Advancements In Heart Disease Prediction: A Machine Learning Approach For Early Detection And Risk Assessmentby…
Summary of Fine-tuning Vision Classifiers on a Budget, by Sunil Kumar et al.
Fine-tuning Vision Classifiers On A Budgetby Sunil Kumar, Ted Sandler, Paulina VarshavskayaFirst submitted to arxiv…
Summary of An Explainable Machine Learning Approach to Traffic Accident Fatality Prediction, by Md. Asif Khan Rifat et al.
An Explainable Machine Learning Approach to Traffic Accident Fatality Predictionby Md. Asif Khan Rifat, Ahmedul…
Summary of Optimal Projections For Classification with Naive Bayes, by David P. Hofmeyr et al.
Optimal Projections for Classification with Naive Bayesby David P. Hofmeyr, Francois Kamper, Michail M. MelonasFirst…
Summary of Lemon and Orange Disease Classification Using Cnn-extracted Features and Machine Learning Classifier, by Khandoker Nosiba Arifin et al.
Lemon and Orange Disease Classification using CNN-Extracted Features and Machine Learning Classifierby Khandoker Nosiba Arifin,…