A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models. - Daniel L. Oberski; Geert H. van Kollenburg; Jeroen K. Vermunt (Adv. Data Anal. Classif., 2013)

Beyond the number of classes: separating substantive from non-substantive dependence in latent class analysis. - Daniel L. Oberski (Adv. Data Anal. Classif., 2016)

A Note on Applying the BCH Method Under Linear Equality and Inequality Constraints. - Laura Boeschoten; Marcel A. Croon; Daniel L. Oberski (J. Classif., 2019)

Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent. - Erik-Jan van Kesteren; Chang Sun 001; Daniel L. Oberski; Michel Dumontier; Lianne Ippel (CoRR, 2019)

Multimodal Learning for Cardiovascular Risk Prediction using EHR Data. - Ayoub Bagheri; T. Katrien J. Groenhof; Wouter B. Veldhuis; Pim A. de Jong; Folkert W. Asselbergs; Daniel L. Oberski (BCB, 2020)

Automatic ICD-10 Classification of Diseases from Dutch Discharge Letters. - Ayoub Bagheri; Arjan Sammani; Peter G. M. van der Heijden; Folkert W. Asselbergs; Daniel L. Oberski (BIOINFORMATICS, 2020)

Instagram Use and the Well-Being of Adolescents: Using Deep Learning to Link Social Scientific Self-reports with Instagram Data Download Packages. - Laura Boeschoten; Irene I. van Driel; Daniel L. Oberski; Loes J. Pouwels (ICMI Companion, 2020)

Fair inference on error-prone outcomes. - Laura Boeschoten; Erik-Jan van Kesteren; Ayoub Bagheri; Daniel L. Oberski (CoRR, 2020)

The effect of measurement error on clustering algorithms. - Paulina Pankowska; Daniel L. Oberski (CoRR, 2020)

ASReview: Open Source Software for Efficient and Transparent Active Learning for Systematic Reviews. - Rens van de Schoot; Jonathan de Bruin; Raoul Schram; Parisa Zahedi; Jan de Boer; Felix Weijdema; Bianca Kramer; Martijn Huijts; Maarten Hoogerwerf; Gerbrich Ferdinands; Albert Harkema; Joukje Willemsen; et al. (CoRR, 2020)

A framework for digital trace data collection through data donation. - Laura Boeschoten; Jef Ausloos; J. E. Möller; Theo B. Araujo; Daniel L. Oberski (CoRR, 2020)

ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients' disease history. - Ayoub Bagheri; Arjan Sammani; Peter G. M. van der Heijden; Folkert W. Asselbergs; Daniel L. Oberski (J. Intell. Inf. Syst., 2020)

Human Data Science. - Daniel L. Oberski (Patterns, 2020)

Achieving Fair Inference Using Error-Prone Outcomes. - Laura Boeschoten; Erik-Jan van Kesteren; Ayoub Bagheri; Daniel L. Oberski (Int. J. Interact. Multim. Artif. Intell., 2021)

An open source machine learning framework for efficient and transparent systematic reviews. - Rens van de Schoot; Jonathan de Bruin; Raoul Schram; Parisa Zahedi; Jan de Boer; Felix Weijdema; Bianca Kramer; Martijn Huijts; Maarten Hoogerwerf; Gerbrich Ferdinands; Albert Harkema; Joukje Willemsen; et al. (Nat. Mach. Intell., 2021)

Automatic multilabel detection of ICD10 codes in Dutch cardiology discharge letters using neural networks. - Arjan Sammani; Ayoub Bagheri; Peter G. M. van der Heijden; Anneline S. J. M. te Riele; Annette F. Baas; C. A. J. Oosters; Daniel L. Oberski; Folkert W. Asselbergs (npj Digit. Medicine, 2021)

The impact of psycholinguistic patterns in discriminating between fake news spreaders and fact checkers. - Anastasia Giachanou; Bilal Ghanem; Esteban A. Ríssola; Paolo Rosso; Fabio Crestani; Daniel L. Oberski (Data Knowl. Eng., 2022)

Evaluating the construct validity of text embeddings with application to survey questions. - Qixiang Fang; Dong Nguyen 002; Daniel L. Oberski (EPJ Data Sci., 2022)

A Perspective on a Quality Management System for AI/ML-Based Clinical Decision Support in Hospital Care. - Richard Bartels; Jeroen Dudink; Saskia Haitjema; Daniel L. Oberski; Annemarie van 't Veen (Frontiers Digit. Health, 2022)

Privacy-preserving local analysis of digital trace data: A proof-of-concept. - Laura Boeschoten; Adriënne Mendrik; Emiel van der Veen; Jeroen Vloothuis; Haili Hu; Roos Voorvaart; Daniel L. Oberski (Patterns, 2022)

On Text-based Personality Computing: Challenges and Future Directions. - Qixiang Fang; Anastasia Giachanou; Ayoub Bagheri; Laura Boeschoten; Erik-Jan van Kesteren; Mahdi Shafiee Kamalabad; Daniel L. Oberski (ACL (Findings), 2023)

Bayesian Optimization for the Inverse Problem in Electrocardiography. - Alejandro Lopez Rincon; David Rojas-Velazquez; Johan Garssen; Sander W. Van der Laan; Daniel L. Oberski; Alberto Tonda (SSCI, 2023)

Designing and Evaluating General-Purpose User Representations Based on Behavioral Logs from a Measurement Process Perspective: A Case Study with Snapchat. - Qixiang Fang; Zhihan Zhou 001; Francesco Barbieri; Yozen Liu; Leonardo Neves; Dong Nguyen 002; Daniel L. Oberski; Maarten W. Bos; Ron Dotsch (CoRR, 2023)

Algorithmic Fairness in Clinical Natural Language Processing: Challenges and Opportunities. - Daniel Anadria; Anastasia Giachanou; Jacqueline Kernahan; Roel Dobbe; Daniel L. Oberski (EWAF, 2024)

General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study. - Qixiang Fang; Zhihan Zhou 001; Francesco Barbieri; Yozen Liu; Leonardo Neves; Dong Nguyen 002; Daniel L. Oberski; Maarten W. Bos; Ron Dotsch (SIGIR, 2024)

PATCH - Psychometrics-AssisTed benCHmarking of Large Language Models: A Case Study of Mathematics Proficiency. - Qixiang Fang; Daniel L. Oberski; Dong Nguyen 002 (CoRR, 2024)

Methodology for biomarker discovery with reproducibility in microbiome data using machine learning. - David Rojas-Velazquez; Sarah Kidwai; Aletta D. Kraneveld; Alberto Tonda; Daniel L. Oberski; Johan Garssen; Alejandro Lopez Rincon (BMC Bioinform., 2024)

Explainability in Practice: A Survey of Explainable NLP Across Various Domains. - Hadi Mohammadi; Ayoub Bagheri; Anastasia Giachanou; Daniel L. Oberski (CoRR, 2025)

Explainability-Based Token Replacement on LLM-Generated Text. - Hadi Mohammadi; Anastasia Giachanou; Daniel L. Oberski; Ayoub Bagheri (CoRR, 2025)

From Data-Driven to Purpose-Driven Artificial Intelligence: Systems Thinking for Data-Analytic Automation of Patient Care. - Daniel Anadria; Roel Dobbe; Anastasia Giachanou; Ruurd Kuiper 002; Richard Bartels; Wouter van Amsterdam; Íñigo Martinez de Rituerto de Troya; Carmen Zürcher; Daniel L. Oberski (CoRR, 2025)