Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions
- DOI
- 10.1016/j.inffus.2021.12.003
- Published
- 2022-05
- Container
- Information Fusion
- Publisher
- Elsevier BV
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1016/j.inffus.2021.12.003,
title = {Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions},
author = {Anil Rahate and Rahee Walambe and Sheela Ramanna and Ketan Kotecha},
year = {2022},
journal = {Information Fusion},
doi = {10.1016/j.inffus.2021.12.003},
url = {https://doi.org/10.1016/j.inffus.2021.12.003}
}RIS
TY - JOUR TI - Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions AU - Anil Rahate AU - Rahee Walambe AU - Sheela Ramanna AU - Ketan Kotecha PY - 2022 JO - Information Fusion DO - 10.1016/j.inffus.2021.12.003 UR - https://doi.org/10.1016/j.inffus.2021.12.003 ER -
APA
Rahate, A., Walambe, R., Ramanna, S., & Kotecha, K. (2022). Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions. Information Fusion. https://doi.org/10.1016/j.inffus.2021.12.003
Source records
- crossref · retrieved 2026-09-25T19:07:00.378Z