Daniel L. Oberski

According to our database, Daniel L. Oberski authored at least 25 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., December, 2024

PATCH - Psychometrics-AssisTed benCHmarking of Large Language Models: A Case Study of Mathematics Proficiency.

Qixiang Fang, Daniel L. Oberski, Dong Nguyen

CoRR, 2024

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, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch

CoRR, 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

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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

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

Evaluating the construct validity of text embeddings with application to survey questions.

Qixiang Fang, Dong Nguyen, Daniel L. Oberski

EPJ Data Sci., 2022

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

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

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, Yongchao Ma, Qixiang Fang, Sybren Hindriks, Lars Tummers, Daniel L. Oberski

Nat. Mach. Intell., 2021

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

2020

Human Data Science.

Daniel L. Oberski

Patterns, 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

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

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, Yongchao Ma, Qixiang Fang, Lars Tummers, Daniel L. Oberski

CoRR, 2020

The effect of measurement error on clustering algorithms.

Paulina Pankowska, Daniel L. Oberski

CoRR, 2020

Fair inference on error-prone outcomes.

Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri, Daniel L. Oberski

CoRR, 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

Proceedings of the Companion Publication of the 2020 International Conference on Multimodal Interaction, 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

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

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

Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

2019

Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent.

Erik-Jan van Kesteren, Chang Sun, Daniel L. Oberski, Michel Dumontier, Lianne Ippel

CoRR, 2019

A Note on Applying the BCH Method Under Linear Equality and Inequality Constraints.

Laura Boeschoten, Marcel A. Croon, Daniel L. Oberski

J. Classif., 2019

2016

Beyond the number of classes: separating substantive from non-substantive dependence in latent class analysis.

Daniel L. Oberski

Adv. Data Anal. Classif., 2016

2013

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