Theresia Veronika Rampisela

• Presentation
• Research outputs

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 (https://algorithms.dk/).

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 journal › Journal article › Research › peer-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 proceeding › Article in proceedings › Research › peer-review