Latent Space Analysis, Visualization, and Interpretability in Deep Learning: Systematic Review
| dc.contributor.author | Sezen, Arda | |
| dc.contributor.author | Ardogan, Abdullah Taha | |
| dc.date.accessioned | 2026-05-05T15:07:15Z | |
| dc.date.available | 2026-05-05T15:07:15Z | |
| dc.date.issued | 2026-02-05 | |
| dc.description.abstract | Latent space representations play a key role in modern machine learning models. This systematic review focuses on latent space research with emphasis on analysis methods, dimension reduction, visualization approaches, data types, and study objectives. Both supervised and unsupervised experimental settings are considered. The reviewed studies report diverse outcomes, including performance improvement, accuracy gains, and the discovery of meaningful latent structures. In addition, deep clustering methods are shown to be widely used across various application domains. © 2026 IEEE. | |
| dc.identifier.doi | 10.1109/IISEC69317.2026.11418397 | |
| dc.identifier.isbn | 9798331580315 | |
| dc.identifier.scopus | 2-s2.0-105035987718 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14411/11506 | |
| dc.identifier.uri | https://doi.org/10.1109/IISEC69317.2026.11418397 | |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.ispartof | Proceedings - 5th International Conference on Informatics and Software Engineering, IISEC 2026 -- 5th International Conference on Informatics and Software Engineering, IISEC 2026 -- 5 February 2026 through 6 February 2026 -- Ankara -- 221523 | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | Hidden Layer Analysis | |
| dc.subject | Interpretability | |
| dc.subject | Dimensionality Reduction | |
| dc.subject | Latent Space | |
| dc.subject | Visualization | |
| dc.subject | Manifold Learning | |
| dc.title | Latent Space Analysis, Visualization, and Interpretability in Deep Learning: Systematic Review | en_US |
| dc.type | Conference Object | |
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| gdc.description.department | Atılım University | |
| gdc.description.departmenttemp | [Ardogan A.T.] Atilim University, Graduate School of Natural and Applied Science, Dept. of Software Engineering, Ankara, Turkey; [Sezen A.] Atilim University, Dept. of Computer Engineering, Ankara, Turkey | |
| gdc.description.endpage | 331 | |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| gdc.description.startpage | 326 | |
| gdc.identifier.openalex | W7134970737 | |
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