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Researcher
Lisa KOUTSOVITI-KOUMERI
- Keywords:Economics and applied economics
- Disciplines:Other economics and business not elsewhere classified
Affiliations
- Business Informatics (Research group)
Member
From1 Mar 2021 → Today - Quantitative Methods (Department)
Member
From1 Mar 2021 → Today - Faculty of Business Economics (Faculty)
Member
From1 Mar 2021 → Today
Projects
1 - 1 of 1
- Multivariate time series forecasting and classification using intrinsically explainable machine learning models to solve real-world problems.From1 Mar 2021 → TodayFunding: BOF - doctoral mandates
Publications
1 - 3 of 3
- A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets(2022)
Authors: Gonzalo NAPOLES RUIZ, Lisa KOUTSOVITI-KOUMERI
Pages: 29 - 36 - Modeling Implicit Bias with Fuzzy Cognitive Maps(2022)
Authors: Gonzalo NAPOLES RUIZ, Isel Grau, Leonardo CONCEPCION PEREZ, Lisa KOUTSOVITI-KOUMERI, João Paulo Papa
Pages: 33 - 45 - Bias Quantification for Protected Features in Pattern Classification Problems(2021)
Authors: Lisa KOUTSOVITI-KOUMERI, Gonzalo NAPOLES RUIZ
Pages: 351 - 360