Daniel L. Oberski
Orcid: 0000-0001-7467-2297
According to our database1,
Daniel L. Oberski
authored at least 26 papers
between 2013 and 2024.
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Online presence:
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Bibliography
2024
Methodology for biomarker discovery with reproducibility in microbiome data using machine learning.
BMC Bioinform., December, 2024
PATCH - Psychometrics-AssisTed benCHmarking of Large Language Models: A Case Study of Mathematics Proficiency.
CoRR, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
2023
Designing and Evaluating General-Purpose User Representations Based on Behavioral Logs from a Measurement Process Perspective: A Case Study with Snapchat.
CoRR, 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Patterns, 2022
A Perspective on a Quality Management System for AI/ML-Based Clinical Decision Support in Hospital Care.
Frontiers Digit. Health, 2022
Evaluating the construct validity of text embeddings with application to survey questions.
EPJ Data Sci., 2022
The impact of psycholinguistic patterns in discriminating between fake news spreaders and fact checkers.
Data Knowl. Eng., 2022
2021
Automatic multilabel detection of ICD10 codes in Dutch cardiology discharge letters using neural networks.
npj Digit. Medicine, 2021
An open source machine learning framework for efficient and transparent systematic reviews.
Nat. Mach. Intell., 2021
Int. J. Interact. Multim. Artif. Intell., 2021
2020
ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients' disease history.
J. Intell. Inf. Syst., 2020
ASReview: Open Source Software for Efficient and Transparent Active Learning for Systematic Reviews.
CoRR, 2020
Instagram Use and the Well-Being of Adolescents: Using Deep Learning to Link Social Scientific Self-reports with Instagram Data Download Packages.
Proceedings of the Companion Publication of the 2020 International Conference on Multimodal Interaction, 2020
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020
2019
Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent.
CoRR, 2019
J. Classif., 2019
2016
Beyond the number of classes: separating substantive from non-substantive dependence in latent class analysis.
Adv. Data Anal. Classif., 2016
2013
A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models.
Adv. Data Anal. Classif., 2013