Daniel L. Oberski

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 27

Top Topics

Open Source Software

Privacy Preserving

Generalized Linear Models

Top Venues

Int. J. Interact. Multim. Artif. Intell.

Publications

Qixiang Fang, Daniel L. Oberski, Dong Nguyen
PATCH - Psychometrics-AssisTed benCHmarking of Large Language Models: A Case Study of Mathematics Proficiency. CoRR (2024)
Qixiang Fang, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch
General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study. SIGIR (2024)
David Rojas-Velazquez, Sarah Kidwai, Aletta D. Kraneveld, Alberto Tonda, Daniel L. Oberski, Johan Garssen, Alejandro Lopez Rincon
Methodology for biomarker discovery with reproducibility in microbiome data using machine learning. BMC Bioinform. 25 (1) (2024)
Qixiang Fang, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch
Designing and Evaluating General-Purpose User Representations Based on Behavioral Logs from a Measurement Process Perspective: A Case Study with Snapchat. CoRR (2023)
Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri, Laura Boeschoten, Erik-Jan van Kesteren, Mahdi Shafiee Kamalabad, Daniel L. Oberski
On Text-based Personality Computing: Challenges and Future Directions. ACL (Findings) (2023)
Anastasia Giachanou, Bilal Ghanem, Esteban A. Ríssola, Paolo Rosso, Fabio Crestani, Daniel L. Oberski
The impact of psycholinguistic patterns in discriminating between fake news spreaders and fact checkers. Data Knowl. Eng. 138 (2022)
Qixiang Fang, Dong Nguyen, Daniel L. Oberski
Evaluating the construct validity of text embeddings with application to survey questions. EPJ Data Sci. 11 (1) (2022)
Laura Boeschoten, Adriënne Mendrik, Emiel van der Veen, Jeroen Vloothuis, Haili Hu, Roos Voorvaart, Daniel L. Oberski
Privacy-preserving local analysis of digital trace data: A proof-of-concept. Patterns 3 (3) (2022)
Qixiang Fang, Dong Nguyen, Daniel L. Oberski
Evaluating the Construct Validity of Text Embeddings with Application to Survey Questions. CoRR (2022)
Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri, Laura Boeschoten, Erik-Jan van Kesteren, Mahdi Shafiee Kamalabad, Daniel L. Oberski
On Text-based Personality Computing: Challenges and Future Directions. CoRR (2022)
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
An open source machine learning framework for efficient and transparent systematic reviews. Nat. Mach. Intell. 3 (2) (2021)
Laura Boeschoten, Adriënne Mendrik, Emiel van der Veen, Jeroen Vloothuis, Haili Hu, Roos Voorvaart, Daniel L. Oberski
Privacy preserving local analysis of digital trace data: A proof-of-concept. CoRR (2021)
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
Automatic multilabel detection of ICD10 codes in Dutch cardiology discharge letters using neural networks. npj Digit. Medicine 4 (2021)
Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri, Daniel L. Oberski
Achieving Fair Inference Using Error-Prone Outcomes. Int. J. Interact. Multim. Artif. Intell. 6 (5) (2021)
Daniel L. Oberski
Human Data Science. Patterns 1 (4) (2020)
Paulina Pankowska, Daniel L. Oberski
The effect of measurement error on clustering algorithms. CoRR (2020)
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
ASReview: Open Source Software for Efficient and Transparent Active Learning for Systematic Reviews. CoRR (2020)
Ayoub Bagheri, Arjan Sammani, Peter G. M. van der Heijden, Folkert W. Asselbergs, Daniel L. Oberski
ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients' disease history. J. Intell. Inf. Syst. 55 (2) (2020)
Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri, Daniel L. Oberski
Fair inference on error-prone outcomes. CoRR (2020)
Laura Boeschoten, Jef Ausloos, J. E. Möller, Theo B. Araujo, Daniel L. Oberski
A framework for digital trace data collection through data donation. CoRR (2020)
Ayoub Bagheri, T. Katrien J. Groenhof, Wouter B. Veldhuis, Pim A. de Jong, Folkert W. Asselbergs, Daniel L. Oberski
Multimodal Learning for Cardiovascular Risk Prediction using EHR Data. CoRR (2020)
Ayoub Bagheri, T. Katrien J. Groenhof, Wouter B. Veldhuis, Pim A. de Jong, Folkert W. Asselbergs, Daniel L. Oberski
Multimodal Learning for Cardiovascular Risk Prediction using EHR Data. BCB (2020)
Ayoub Bagheri, Arjan Sammani, Peter G. M. van der Heijden, Folkert W. Asselbergs, Daniel L. Oberski
Automatic ICD-10 Classification of Diseases from Dutch Discharge Letters. BIOINFORMATICS (2020)
Laura Boeschoten, Irene I. van Driel, Daniel L. Oberski, Loes J. Pouwels
Instagram Use and the Well-Being of Adolescents: Using Deep Learning to Link Social Scientific Self-reports with Instagram Data Download Packages. ICMI Companion (2020)
Erik-Jan van Kesteren, Chang Sun, Daniel L. Oberski, Michel Dumontier, Lianne Ippel
Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent. CoRR (2019)
Laura Boeschoten, Marcel A. Croon, Daniel L. Oberski
A Note on Applying the BCH Method Under Linear Equality and Inequality Constraints. J. Classif. 36 (3) (2019)
Daniel L. Oberski
Beyond the number of classes: separating substantive from non-substantive dependence in latent class analysis. Adv. Data Anal. Classif. 10 (2) (2016)
Daniel L. Oberski, Geert H. van Kollenburg, Jeroen K. Vermunt
A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models. Adv. Data Anal. Classif. 7 (3) (2013)