Work

Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches

Year: 2021

Type: article

Source: Data Mining and Knowledge Discovery

DOI: 10.1007/s10618-021-00746-8

Authors: Lu Wang, Dongxiao Zhu

Institution: Wayne State University

Language: English

Topic: Domain Adaptation and Few-Shot Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: Severity Predictors Integrating salivary Transcriptomics and proteomics with Multi neural network Intelligence in SARS-CoV2 infection in Children (SPITS MISC), EAGER: A Novel Algorithmic Framework for Discovering Subnetworks from Big Biological Data, S&CC: Promoting a Healthier Urban Community: Prioritization of Risk Factors for the Prevention and Treatment of Pediatric Obesity

OpenAlex ID: W3136286566

FWCI: 0.528

Cites: 56

Cited by: 11

Related to: 10