{"doi":"10.32614/cran.package.smtl","title":"sMTL: Sparse Multi-Task Learning","abstract":"Implements L0-constrained Multi-Task Learning and domain generalization algorithms. The algorithms are coded in Julia allowing for fast implementations of the coordinate descent and local combinatorial search algorithms. For more details, see a preprint of the paper: Loewinger et al., (2022) &lt;<a href=\"https://doi.org/10.48550/arXiv.2212.08697\" target=\"_top\">doi:10.48550/arXiv.2212.08697</a>&gt;.","journal":null,"year":2023,"id":402134,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9477,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1179518,"name":"Kayhan Behdin","orcid":"0000-0003-3482-0421","position":1,"is_corresponding":false},{"id":2251,"name":"Giovanni Parmigiani","orcid":"0000-0002-8783-5961","position":2,"is_corresponding":false},{"id":708070,"name":"Rahul Mazumder","orcid":null,"position":3,"is_corresponding":false},{"id":395828,"name":"Gabriel Loewinger","orcid":"0000-0002-0755-8520","position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":null,"created_at":"2026-07-19T01:20:23.920156Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}