• 2024

    Research article in proceedings (conference)

    Lülf, C., Lima Martins, D. M., Vaz, S. M. A., Zhou, Y., & Gieseke, F. (2024). CLIP-Branches: Interactive Fine-Tuning for Text-Image Retrieval. In Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval (Demo Track), Washington, D.C. (accepted / in press (not yet published))
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  • 2023

    Research article in proceedings (conference)

    Lima, M., Denis, M. L., Christian;, G., & Fabian, (2023). End-to-End Neural Network Training for Hyperbox-Based Classification. In Proceedings of the 31th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Brügge. (accepted / in press (not yet published))
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    Lülf, C., Lima Martins, D. M., Vaz, S. M. A., Zhou, Y., & Gieseke, F. (2023). Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests. In VLDB, E. (Ed.), Proceedings of the VLDB Endowment (11, pp. 2845–2857). Vancouver: ACM Press.
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    Lülf, C., Lima Martins, D. M., Vaz, S. M. A., Zhou, Y., & Gieseke, F. (2023). RapidEarth: A Search Engine for Large-Scale Geospatial Imagery. In Proceedings of the ACM SIGSPATIAL 2023, Hamburg. (accepted / in press (not yet published))
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