External Links

Cite Key

Statistics

  • References: 0
  • Cited by: 0
  • Reviews: 0
  • Bibliographies: 0

PDF

Researchr

Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers.

Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors.

An Explainable Multi-Source Unsupervised Domain Adaptation Framework Using Contrastive Learning and Adaptive Clustering for Remote Sensing Scene Classification

Binu Jose A., Pranesh Das, Ebrahim Ghaderpour, Paolo Mazzanti. An Explainable Multi-Source Unsupervised Domain Adaptation Framework Using Contrastive Learning and Adaptive Clustering for Remote Sensing Scene Classification. In Iraklis A. Klampanos, Antonis Troumpoukis, Manolis Koubarakis, editors, Proceedings of the Workshop on AI-driven Data Engineering and Reusability for Earth and Space Sciences (DARES 2025) co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025), Bologna, Italy, October 25, 2025. Volume 4128 of CEUR Workshop Proceedings, pages 109-121, CEUR-WS.org, 2025. [doi]

Abstract

Abstract is missing.

runs on