Generate Diverse Counterfactual Explanations for any machine learning model. interpretml.github.io/DiCE/ Topics machine-learningdeep-learningexplainable-aiexplainable-mlxaiinterpretable-machine-learningcounterf
Justice-related traitsFive-factor model of personalityPerpetrator sensitivityObjective. I examine the degree to which U.S. clergy might be considered utility maximizers in determining whether to undertake political behavior among their parishioners. Specifically, I investigate whether mainline Protestant ...
To address these challenges, we present Segment Any Tissue (SAT), an innovative, training-free framework designed to automatically prompt the class-agnostic visual foundation model for the segmentation of medical images with only a one-shot reference. SAT leverages the robust feature-matching ...
According to Korpi (2000), “dual-earner” (Scandinavian) countries score high on the first dimension and low on the second; “traditional” countries (Belgium, France, Germany, Austria, the Netherlands) are in the reverse situation; “market model” countries (UK, Switzerland, Ireland) fare ...
Amyotrophic Lateral Sclerosis (ALS) belongs to the family of neurodegenerative disorders and is classified as fronto-temporal dementia (FTD), progressive muscular atrophy, primary lateral sclerosis, and pseudobulbar palsy. Even though endocrine dysfunction independently impacts the ALS-related survival rate,...
NTRUEncrypt schemes in the standard model by using the canonical embedding over any cyclotomic field. For any fixed cyclotomic field, we design our scheme in the fractional ideal\(R^{\vee }\), i.e. the codifferent ideal of the ring of integersR. In applications, our scheme can also be...
“This is for my social science degree. I am a 2nd year student that needs to get atleast a 2:1 on this proposal. Please if anyone can help me would be highly appreciated. SubjectSociology 4Answers 0Votes question asked by Noran | 8 years ago “How efficiently can I learn Chinese wit...
Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience. Abstract Neutrophil extracellular trap (NET) formation represents a form of cell death distinct from apoptosis or necrosis, by which invading pathogens are simultaneously entangled ...
A game theoretic approach to explain the output of any machine learning model. - datasciencemaverick/shap
CNN writer explains how Microsoft's new AI model works Novedades alentadoras para Damar Hamlin 02:03 Canadian FM: 'Of course' Canada is in a trade war with US 01:49 GOP mayor explains what effects Trump's tariffs could have on his city ...