Theresia Veronika Rampisela

Theresia Veronika Rampisela

PhD fellow

Theresia is a PhD student working on the evaluation of fairness in machine learning applications. Her current work is on understanding and developing algorithmic fairness in recommender systems. She is part of the Algorithms, Data, and Democracy (ADD) project (

Her previous research were on academic expert finding using information retrieval and knowledge management approaches, as well as classification of Schizophrenia data using SVM-based techniques.

[Google Scholar]

Selected publications

  1. E-pub ahead of print

    Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study

    Rampisela, Theresia Veronika, Maistro, Maria, Ruotsalo, Tuukka & Lioma, Christina, 2024, (E-pub ahead of print) In: ACM Transactions on Recommender Systems. 55 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Semantic-Based Query Expansion for Academic Expert Finding

    Rampisela, Theresia Veronika & Yulianti, E., 4 Dec 2020, 2020 International Conference on Asian Language Processing, IALP 2020. Lu, Y., Dong, M., Soon, L-K. & Gan, K. H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 34-39 9310492. (2020 International Conference on Asian Language Processing, IALP 2020).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

ID: 308432935