Deepfake forensics analysis: An explainable hierarchical ensemble of weakly supervised models
Samuel Henrique Silva, Mazal Bethany, Alexis Megan Votto, Ian Scarff, Nicole Lang Beebe, Peyman Najafirad
- ISSN / E-ISSN
- — / —
- DOI
- 10.1016/j.fsisyn.2022.100217 ↗
- Volume · Issue · Pages
- 4 · — · 100217-100217
- Publisher
- Elsevier BV
- Article URL
- https://doi.org/10.1016/j.fsisyn.2022.100217 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
01 Jan 2022
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 01 Jan 2022 | OpenAlex |
Keywords (as given): deepfake detection; deepfake forensics; explainable AI; weakly supervised learning; ensemble learning; Grad-CAM; human-in-the-loop decision making; disinformation; data augmentation
HEC Status at Publication Not the journal's current status
HEC Status at PublicationConclusive
HEC status at publication
Recognized
Based on the recorded HEC dataset applicable to the article's publication date. Listed in the HEC list for hjrs 2021-22 V2.
- Journal
- Forensic Science International: Synergy
- Publication date used
- 01 Jan 2022 (OpenAlex publication date)
- Applicable HEC period
- hjrs 2021-22 V2 (version 1) · 01 Jul 2021 – 30 Jun 2022
- Category
- —
- Recognition status
- Recognized (OK_RECORD_FOUND)
- Source
- hjrs-2021-22 row 17974
- Verification status
- Verified against source · last verified 16 Oct 2026
This is an automatically generated summary based on the information available on the publication date. Terms & conditions apply.