Daniel L. Oberski

34 papers A* 1Journal 27Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Explainability in Practice: A Survey of Explainable NLP Across Various Domains. CoRR Hadi Mohammadi, Ayoub Bagheri, Anastasia Giachanou, Daniel L. Oberski
2025	J	`jnl`	Explainability-Based Token Replacement on LLM-Generated Text. CoRR Hadi Mohammadi, Anastasia Giachanou, Daniel L. Oberski, Ayoub Bagheri
2025	J	`jnl`	From Data-Driven to Purpose-Driven Artificial Intelligence: Systems Thinking for Data-Analytic Automation of Patient Care. CoRR Daniel Anadria, Roel Dobbe, Anastasia Giachanou, Ruurd Kuiper, Richard Bartels, Wouter van Amsterdam, Íñigo Martinez de Rituerto de Troya, Carmen Zürcher, Daniel L. Oberski
2024	—	`conf`	Algorithmic Fairness in Clinical Natural Language Processing: Challenges and Opportunities. EWAF Daniel Anadria, Anastasia Giachanou, Jacqueline Kernahan, Roel Dobbe, Daniel L. Oberski
2024	A*	`conf`	General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study. SIGIR Qixiang Fang, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch
2024	J	`jnl`	Methodology for biomarker discovery with reproducibility in microbiome data using machine learning. BMC Bioinform. David Rojas-Velazquez, Sarah Kidwai, Aletta D. Kraneveld, Alberto Tonda, Daniel L. Oberski, Johan Garssen, Alejandro Lopez Rincon
2024	J	`jnl`	PATCH - Psychometrics-AssisTed benCHmarking of Large Language Models: A Case Study of Mathematics Proficiency. CoRR Qixiang Fang, Daniel L. Oberski, Dong Nguyen
2023	—	`conf`	Bayesian Optimization for the Inverse Problem in Electrocardiography. SSCI Alejandro Lopez Rincon, David Rojas-Velazquez, Johan Garssen, Sander W. Van der Laan, Daniel L. Oberski, Alberto Tonda
2023	J	`jnl`	Designing and Evaluating General-Purpose User Representations Based on Behavioral Logs from a Measurement Process Perspective: A Case Study with Snapchat. CoRR Qixiang Fang, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch
2023	—	`conf`	On Text-based Personality Computing: Challenges and Future Directions. ACL (Findings) Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri, Laura Boeschoten, Erik-Jan van Kesteren, Mahdi Shafiee Kamalabad, Daniel L. Oberski
2022	J	`jnl`	A Perspective on a Quality Management System for AI/ML-Based Clinical Decision Support in Hospital Care. Frontiers Digit. Health Richard Bartels, Jeroen Dudink, Saskia Haitjema, Daniel L. Oberski, Annemarie van 't Veen
2022	J	`jnl`	Evaluating the Construct Validity of Text Embeddings with Application to Survey Questions. CoRR Qixiang Fang, Dong Nguyen, Daniel L. Oberski
2022	J	`jnl`	Evaluating the construct validity of text embeddings with application to survey questions. EPJ Data Sci. Qixiang Fang, Dong Nguyen, Daniel L. Oberski
2022	J	`jnl`	On Text-based Personality Computing: Challenges and Future Directions. CoRR Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri, Laura Boeschoten, Erik-Jan van Kesteren, Mahdi Shafiee Kamalabad, Daniel L. Oberski
2022	J	`jnl`	Privacy-preserving local analysis of digital trace data: A proof-of-concept. Patterns Laura Boeschoten, Adriënne Mendrik, Emiel van der Veen, Jeroen Vloothuis, Haili Hu, Roos Voorvaart, Daniel L. Oberski
2022	J	`jnl`	The impact of psycholinguistic patterns in discriminating between fake news spreaders and fact checkers. Data Knowl. Eng. Anastasia Giachanou, Bilal Ghanem, Esteban A. Ríssola, Paolo Rosso, Fabio Crestani, Daniel L. Oberski
2021	J	`jnl`	Achieving Fair Inference Using Error-Prone Outcomes. Int. J. Interact. Multim. Artif. Intell. Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri, Daniel L. Oberski
2021	J	`jnl`	An open source machine learning framework for efficient and transparent systematic reviews. Nat. Mach. Intell. 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
2021	J	`jnl`	Automatic multilabel detection of ICD10 codes in Dutch cardiology discharge letters using neural networks. npj Digit. Medicine 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
2021	J	`jnl`	Privacy preserving local analysis of digital trace data: A proof-of-concept. CoRR Laura Boeschoten, Adriënne Mendrik, Emiel van der Veen, Jeroen Vloothuis, Haili Hu, Roos Voorvaart, Daniel L. Oberski
2020	J	`jnl`	A framework for digital trace data collection through data donation. CoRR Laura Boeschoten, Jef Ausloos, J. E. Möller, Theo B. Araujo, Daniel L. Oberski
2020	J	`jnl`	ASReview: Open Source Software for Efficient and Transparent Active Learning for Systematic Reviews. CoRR 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
2020	—	`conf`	Automatic ICD-10 Classification of Diseases from Dutch Discharge Letters. BIOINFORMATICS Ayoub Bagheri, Arjan Sammani, Peter G. M. van der Heijden, Folkert W. Asselbergs, Daniel L. Oberski
2020	J	`jnl`	ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients' disease history. J. Intell. Inf. Syst. Ayoub Bagheri, Arjan Sammani, Peter G. M. van der Heijden, Folkert W. Asselbergs, Daniel L. Oberski
2020	J	`jnl`	Fair inference on error-prone outcomes. CoRR Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri, Daniel L. Oberski
2020	J	`jnl`	Human Data Science. Patterns Daniel L. Oberski
2020	—	`conf`	Instagram Use and the Well-Being of Adolescents: Using Deep Learning to Link Social Scientific Self-reports with Instagram Data Download Packages. ICMI Companion Laura Boeschoten, Irene I. van Driel, Daniel L. Oberski, Loes J. Pouwels
2020	—	`conf`	Multimodal Learning for Cardiovascular Risk Prediction using EHR Data. BCB Ayoub Bagheri, T. Katrien J. Groenhof, Wouter B. Veldhuis, Pim A. de Jong, Folkert W. Asselbergs, Daniel L. Oberski
2020	J	`jnl`	Multimodal Learning for Cardiovascular Risk Prediction using EHR Data. CoRR Ayoub Bagheri, T. Katrien J. Groenhof, Wouter B. Veldhuis, Pim A. de Jong, Folkert W. Asselbergs, Daniel L. Oberski
2020	J	`jnl`	The effect of measurement error on clustering algorithms. CoRR Paulina Pankowska, Daniel L. Oberski
2019	J	`jnl`	A Note on Applying the BCH Method Under Linear Equality and Inequality Constraints. J. Classif. Laura Boeschoten, Marcel A. Croon, Daniel L. Oberski
2019	J	`jnl`	Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent. CoRR Erik-Jan van Kesteren, Chang Sun, Daniel L. Oberski, Michel Dumontier, Lianne Ippel
2016	J	`jnl`	Beyond the number of classes: separating substantive from non-substantive dependence in latent class analysis. Adv. Data Anal. Classif. Daniel L. Oberski
2013	J	`jnl`	A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models. Adv. Data Anal. Classif. Daniel L. Oberski, Geert H. van Kollenburg, Jeroen K. Vermunt