Researching Pandemics Through Time: A Covid-19 Inspired Data-Driven Approach to Explore Historical Newspapers. - Mirjam Cuper (TPDL, 2021)

Optimizing the Digitization Workflow of Heritage Institutions to Increase Quality of Digitized Texts. - Mirjam Cuper; Sarah D'Huys (TPDL, 2022)

Hidden Author Bias in Book Recommendation. - Savvina Daniil; Mirjam Cuper; Cynthia C. S. Liem; Jacco van Ossenbruggen; Laura Hollink (CoRR, 2022)

Interchangeability of ngrams models between heterogeneous dataset. - Mirjam Cuper (DH, 2023)

Aspect-Driven Structuring of Historical Dutch Newspaper Archives. - Hermann Kroll; Christin Katharina Kreutz; Mirjam Cuper; Bill Matthias Thang; Wolf-Tilo Balke (TPDL, 2023)

Unraveling Confidence: Examining Confidence Scores as Proxy for OCR Quality. - Mirjam Cuper; Corine van Dongen; Tineke Koster (ICDAR (5), 2023)

A Systematic Review of Wikidata in GLAM Institutions: a Labs Approach. - Gustavo Candela; Mirjam Cuper; Olga Holownia; Nele Gabriëls; Milena Dobreva; Mahendra Mahey (TPDL (2), 2024)

On the challenges of studying bias in Recommender Systems: A UserKNN case study. - Savvina Daniil; Manel Slokom; Mirjam Cuper; Cynthia C. S. Liem; Jacco van Ossenbruggen; Laura Hollink (CoRR, 2024)

Reproducing Popularity Bias in Recommendation: The Effect of Evaluation Strategies. - Savvina Daniil; Mirjam Cuper; Cynthia C. S. Liem; Jacco van Ossenbruggen; Laura Hollink (Trans. Recomm. Syst., 2024)

On the challenges of studying bias in Recommender Systems: The effect of data characteristics and algorithm configuration. - Savvina Daniil; Manel Slokom; Mirjam Cuper; Cynthia C. S. Liem; Jacco van Ossenbruggen; Laura Hollink (Inf. Retr. Res. J., 2025)