Work

Distilling BlackBox to Interpretable Models for Efficient Transfer Learning

Year: 2023

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-031-43895-0_59

Authors: Shantanu Ghosh, Ke Yu, Kayhan Batmanghelich

Institutions: Boston University, University of Pittsburgh

Language: English

Topic: Explainable Artificial Intelligence (XAI)

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Pennsylvania Department of Health, National Institutes of Health, National Heart, Lung, and Blood Institute

Awards: G2642891134, G2886248390, An Integrative Radiogenomic Approach to Design Genetically-Informed Image Biomarker for Characterizing COPD

OpenAlex ID: W4387211973

FWCI: 0.359

Cites: 19

Cited by: 2

Related to: 10