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Daniel L. Oberski
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2020 – today
- 2024
- [j13]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): 26 (2024) - [c6]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: 2431-2436 - [i11]Qixiang Fang, Daniel L. Oberski, Dong Nguyen:
PATCH - Psychometrics-AssisTed benCHmarking of Large Language Models: A Case Study of Mathematics Proficiency. CoRR abs/2404.01799 (2024) - 2023
- [c5]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: 10861-10879 - [c4]Alejandro Lopez Rincon, David Rojas-Velazquez, Johan Garssen
, Sander W. Van der Laan, Daniel L. Oberski, Alberto Tonda:
Bayesian Optimization for the Inverse Problem in Electrocardiography. SSCI 2023: 1593-1598 - [i10]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 abs/2312.12111 (2023) - 2022
- [j12]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: 101960 (2022) - [j11]Qixiang Fang
, Dong Nguyen
, Daniel L. Oberski:
Evaluating the construct validity of text embeddings with application to survey questions. EPJ Data Sci. 11(1): 39 (2022) - [j10]Richard Bartels
, Jeroen Dudink, Saskia Haitjema, Daniel L. Oberski, Annemarie van 't Veen:
A Perspective on a Quality Management System for AI/ML-Based Clinical Decision Support in Hospital Care. Frontiers Digit. Health 4 (2022) - [j9]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): 100444 (2022) - [i9]Qixiang Fang, Dong Nguyen, Daniel L. Oberski:
Evaluating the Construct Validity of Text Embeddings with Application to Survey Questions. CoRR abs/2202.09166 (2022) - [i8]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 abs/2212.06711 (2022) - 2021
- [j8]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): 9-15 (2021) - [j7]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): 125-133 (2021) - [j6]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) - [i7]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 abs/2110.05154 (2021) - 2020
- [j5]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): 329-349 (2020) - [j4]Daniel L. Oberski
:
Human Data Science. Patterns 1(4): 100069 (2020) - [c3]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: 78:1 - [c2]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: 281-289 - [c1]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: 523 - [i6]Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri, Daniel L. Oberski:
Fair inference on error-prone outcomes. CoRR abs/2003.07621 (2020) - [i5]Paulina Pankowska, Daniel L. Oberski:
The effect of measurement error on clustering algorithms. CoRR abs/2005.11743 (2020) - [i4]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 abs/2006.12166 (2020) - [i3]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 abs/2008.11979 (2020) - [i2]Laura Boeschoten, Jef Ausloos, J. E. Möller, Theo B. Araujo, Daniel L. Oberski:
A framework for digital trace data collection through data donation. CoRR abs/2011.09851 (2020)
2010 – 2019
- 2019
- [j3]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): 566-575 (2019) - [i1]Erik-Jan van Kesteren, Chang Sun, Daniel L. Oberski, Michel Dumontier, Lianne Ippel:
Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent. CoRR abs/1911.03183 (2019) - 2016
- [j2]Daniel L. Oberski
:
Beyond the number of classes: separating substantive from non-substantive dependence in latent class analysis. Adv. Data Anal. Classif. 10(2): 171-182 (2016) - 2013
- [j1]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): 267-279 (2013)
Coauthor Index
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last updated on 2024-08-05 21:14 CEST by the dblp team
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