dr. Emmanuelle Beauxis Aussalet

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  • End-to-End Bias Mitigation in Candidate Recommender Systems with Fairness Gates

    Arafan, A. M., Graus, D., Santos, F. P. & Beauxis-Aussalet, E., 19 Sep 2022, RecSys-in-HR 2022 Recommender Systems for Human Resources 2022: Proceedings of the 2nd Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2022) co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022) Seattle, USA, 18th-23rd September 2022. Kaya, M., Bogers, T., Graus, D., Mesbah, S., Johnson, C. & Gutiérrez, F. (eds.). CEUR-WS, p. 1-8 8 p. (CEUR Workshop Proceedings; vol. 3218).

    Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

    Open Access
  • Error Variance, Fairness, and the Curse on Minorities

    Beauxis-Aussalet, E., 2021, Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Kamp, M., Kamp, M., Koprinska, I., Bibal, A., Bouadi, T., Frénay, B., Galárraga, L., Oramas, J., Adilova, L., Krishnamurthy, Y., Kang, B., Largeron, C., Lijffijt, J., Viard, T., Welke, P., Ruocco, M., Aune, E., Gallicchio, C., Schiele, G., Pernkopf, F., Blott, M., Fröning, H., Schindler, G., Guidotti, R., Monreale, A., Rinzivillo, S., Biecek, P., Ntoutsi, E., Pechenizkiy, M., Rosenhahn, B., Buckley, C., Cialfi, D., Lanillos, P., Ramstead, M., Verbelen, T., Ferreira, P. M., Andresini, G., Malerba, D., Medeiros, I., Fournier-Viger, P., Nawaz, M. S., Ventura, S., Sun, M., Zhou, M., Bitetta, V., Bordino, I., Ferretti, A., Gullo, F., Ponti, G., Severini, L., Ribeiro, R., Gama, J., Gavaldà, R., Cooper, L., Ghazaleh, N., Richiardi, J., Roqueiro, D., Saldana Miranda, D., Sechidis, K. & Graça, G. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 2. p. 352-365 14 p. (Communications in Computer and Information Science; vol. 1525 CCIS).

    Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

  • The Role of Interactive Visualization in Fostering Trust in AI

    Beauxis-Aussalet, E., Behrisch, M., Borgo, R., Chau, D. H., Collins, C., Ebert, D., El-Assady, M., Endert, A., Keim, D. A., Kohlhammer, J., Oelke, D., Peltonen, J., Riveiro, M., Schreck, T., Strobelt, H., Van Wijk, J. J. & Rhyne, T. M., Dec 2021, In: IEEE Computer Graphics and Applications. 41, 6, p. 7-12 6 p.

    Research output: Contribution to JournalArticleAcademicpeer-review

  • Uncertainty-aware estimation of population abundance using machine learning

    Boom, B. J., Beauxis-Aussalet, E., Hardman, L. & Fisher, R. B., 1 Nov 2016, In: Multimedia Systems. 22, 6, p. 737-749

    Research output: Contribution to JournalArticleAcademicpeer-review

  • A rule-based event detection system for real-life underwater domain

    Spampinato, C., Beauxis-Aussalet, E., Palazzo, S., Beyan, C., Van Ossenbruggen, J., He, J., Boom, B. & Huang, X., Jan 2014, In: Machine Vision and Applications. 25, 1, p. 99-117

    Research output: Contribution to JournalArticleAcademicpeer-review