Marco Spruit

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 66

Top Topics

Textual Entailment

Learning Analytics

Top Venues

Publications

Runda Wang, Suzan Verberne, Marco Spruit
Attend All Options at Once: Full Context Input for Multi-choice Reading Comprehension. ECIR (1) (2024)
Hugo Álvarez-Chaves, Marco Spruit, María D. R.-Moreno
Improving ED admissions forecasting by using generative AI: An approach based on DGAN. Comput. Methods Programs Biomed. 256 (2024)
Samar Samir Khalil, Noha S. Tawfik, Marco Spruit
Exploring the potential of federated learning in mental health research: a systematic literature review. Appl. Intell. 54 (2) (2024)
Emil Rijcken, Kalliopi Zervanou, Pablo Mosteiro, Floortje Scheepers, Marco Spruit, Uzay Kaymak
Topic specificity: A descriptive metric for algorithm selection and finding the right number of topics. Nat. Lang. Process. J. 8 (2024)
Hielke Muizelaar, Marcel Haas, Koert van Dortmont, Peter van der Putten, Marco Spruit
Extracting patient lifestyle characteristics from Dutch clinical text with BERT models. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Hielke Muizelaar, Marcel Haas, Koert van Dortmont, Peter van der Putten, Marco Spruit
Correction: Extracting patient lifestyle characteristics from Dutch clinical text with BERT models. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Max van Haastrecht, Matthieu J. S. Brinkhuis, Marco Spruit
Federated Learning Analytics: Investigating the Privacy-Performance Trade-Off in Machine Learning for Educational Analytics. AIED (2) (2024)
Max van Haastrecht, Marcel Haas, Matthieu J. S. Brinkhuis, Marco Spruit
Understanding validity criteria in technology-enhanced learning: A systematic literature review. Comput. Educ. 220 (2024)
Samar Samir Khalil, Noha S. Tawfik, Marco Spruit
Federated learning for privacy-preserving depression detection with multilingual language models in social media posts. Patterns 5 (7) (2024)
Armel Lefebvre, Marco Spruit
Laboratory Forensics for Open Science Readiness: an Investigative Approach to Research Data Management. Inf. Syst. Frontiers 25 (1) (2023)
Emil Rijcken, Kalliopi Zervanou, Marco Spruit, Floortje Scheepers, Uzay Kaymak
Effect of Calculating Pointwise Mutual Information using a Fuzzy Sliding Window in Topic Modeling. FUZZ (2023)
Bram van Dijk, Marco Spruit, Max J. van Duijn
Theory of Mind in Freely-Told Children's Narratives: A Classification Approach. ACL (Findings) (2023)
Bram van Dijk, Max J. van Duijn, Suzan Verberne, Marco Spruit
ChiSCor: A Corpus of Freely-Told Fantasy Stories by Dutch Children for Computational Linguistics and Cognitive Science. CoNLL (2023)
Max van Haastrecht, Matthieu J. S. Brinkhuis, Saskia Wools, Marco Spruit
VAST: a practical validation framework for e-assessment solutions. Inf. Syst. E Bus. Manag. 21 (3) (2023)
Rebecca Ferguson, Hassan Khosravi, Vitomir Kovanovic, Olga Viberg, Ashish Aggarwal, Matthieu J. S. Brinkhuis, Simon Buckingham Shum, Lujie Karen Chen, Hendrik Drachsler, Valerie A. Guerrero, Michael Hanses, Caitlin Hayward, Ben Hicks, Ioana Jivet, Kirsty Kitto, René F. Kizilcec, Jason M. Lodge, Catherine A. Manly, Rebecca L. Matz, Michael Meaney, Xavier Ochoa, Brendan A. Schuetze, Marco Spruit, Max van Haastrecht, Anouschka van Leeuwen, Lars Van Rijn, Yi-Shan Tsai, Joshua Weidlich, Kimberly Williamson, Veronica X. Yan
Aligning the Goals of Learning Analytics with its Research Scholarship: An Open Peer Commentary Approach. J. Learn. Anal. 10 (2) (2023)
Max van Haastrecht, Matthieu J. S. Brinkhuis, Jessica Peichl, Bernd Remmele, Marco Spruit
Embracing Trustworthiness and Authenticity in the Validation of Learning Analytics Systems. LAK (2023)
Max J. van Duijn, Bram van Dijk, Tom Kouwenhoven, Werner de Valk, Marco Spruit, Peter vanderPutten
Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests. CoNLL (2023)
Bram van Dijk, Tom Kouwenhoven, Marco Spruit, Max Johannes van Duijn
Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding. EMNLP (2023)
Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit
Making sense of violence risk predictions using clinical notes. CoRR (2022)
Chaïm van Toledo, Marijn Schraagen, Friso van Dijk, Matthieu J. S. Brinkhuis, Marco Spruit
Exploring the Utility of Dutch Question Answering Datasets for Human Resource Contact Centres. Inf. 13 (11) (2022)
Injy Sarhan, Pablo Mosteiro, Marco Spruit
UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation. CoRR (2022)
Emil Rijcken, Uzay Kaymak, Floortje Scheepers, Pablo Mosteiro, Kalliopi Zervanou, Marco Spruit
Topic Modeling for Interpretable Text Classification From EHRs. Frontiers Big Data 5 (2022)
Injy Sarhan, Pablo Mosteiro, Marco Spruit
UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation. SemEval@NAACL (2022)
Emil Rijcken, Pablo Mosteiro, Kalliopi Zervanou, Marco Spruit, Floortje Scheepers, Uzay Kaymak
FuzzyTM: a Software Package for Fuzzy Topic Modeling. FUZZ-IEEE (2022)
Emil Rijcken, Kalliopi Zervanou, Marco Spruit, Pablo Mosteiro, Floortje Scheepers, Uzay Kaymak
Exploring Embedding Spaces for more Coherent Topic Modeling in Electronic Health Records. SMC (2022)
Pablo Mosteiro, Jesse Kuiper, Judith Masthoff, Floortje Scheepers, Marco Spruit
Bias Discovery in Machine Learning Models for Mental Health. Inf. 13 (5) (2022)
Pablo Mosteiro, Jesse Kuiper, Judith Masthoff, Floortje Scheepers, Marco Spruit
Bias Discovery in Machine Learning Models for Mental Health. CoRR (2022)
Thomas Borger, Pablo Mosteiro, Heysem Kaya, Emil Rijcken, Albert Ali Salah, Floortje Scheepers, Marco Spruit
Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting. CoRR (2022)
Thomas Borger, Pablo Mosteiro, Heysem Kaya, Emil Rijcken, Albert Ali Salah, Floortje Scheepers, Marco Spruit
Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting. Expert Syst. Appl. 199 (2022)
Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit
Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes. CoRR (2022)
Bilge Yigit Ozkan, Sonny van Lingen, Marco Spruit
The Cybersecurity Focus Area Maturity (CYSFAM) Model. J. Cybersecur. Priv. 1 (1) (2021)
Max van Haastrecht, Injy Sarhan, Bilge Yigit Ozkan, Matthieu J. S. Brinkhuis, Marco Spruit
SYMBALS: A Systematic Review Methodology Blending Active Learning and Snowballing. Frontiers Res. Metrics Anal. 6 (2021)
Tim Smit, Max van Haastrecht, Marco Spruit
The Effect of Countermeasure Readability on Security Intentions. J. Cybersecur. Priv. 1 (4) (2021)
Max van Haastrecht, Injy Sarhan, Alireza Shojaifar, Louis Baumgartner, Wissam Mallouli, Marco Spruit
A Threat-Based Cybersecurity Risk Assessment Approach Addressing SME Needs. ARES (2021)
Chaïm van Toledo, Friso van Dijk, Marco Spruit
Dutch Named Entity Recognition and De-identification Methods for the Human Resource Domain. CoRR (2021)
Injy Sarhan, Marco Spruit
Open-CyKG: An Open Cyber Threat Intelligence Knowledge Graph. Knowl. Based Syst. 233 (2021)
Friso W. van Dijk, Marco Spruit, Chaïm van Toledo, Matthieu J. S. Brinkhuis
Pillars of Privacy: Identifying Core Theory in a Network Analysis of Privacy Literature. ECIS (2021)
Emil Rijcken, Floortje Scheepers, Pablo Mosteiro, Kalliopi Zervanou, Marco Spruit, Uzay Kaymak
A Comparative Study of Fuzzy Topic Models and LDA in terms of Interpretability. SSCI (2021)
Marco Spruit, Marcin Kais, Vincent Jorn Menger
Automated Business Goal Extraction from E-mail Repositories to Bootstrap Business Understanding. Future Internet 13 (10) (2021)
Armel Lefebvre, Baharak Bakhtiari, Marco Spruit
Exploring research data management planning challenges in practice. it Inf. Technol. 62 (1) (2020)
Marco Spruit, Niels de Vries
Self-Service Data Science for Adverse Event Prediction in Electronic Healthcare Records. RIIFORUM (2020)
Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit
Making Sense of Violence Risk Predictions Using Clinical Notes. HIS (2020)
Marco Spruit, Drilon Ferati
Text Mining Business Policy Documents: Applied Data Science in Finance. Int. J. Bus. Intell. Res. 11 (2) (2020)
Bilge Yigit Ozkan, Marco Spruit
Addressing SME Characteristics for Designing Information Security Maturity Models. HAISA (2020)
Bilge Yigit Ozkan, Marco Spruit
Assessing and Improving Cybersecurity Maturity for SMEs: Standardization aspects. CoRR (2020)
Marco Spruit, Thomas Dedding, Daniel Vijlbrief
Self-service Data Science for Healthcare Professionals: A Data Preparation Approach. HEALTHINF (2020)
Vincent Jorn Menger, Marco Spruit, Jonathan de Bruin, Thomas Kelder, Floor Scheepers
Supporting Reuse of EHR Data in Healthcare Organizations: The CARED Research Infrastructure Framework. HEALTHINF (2019)
Marco Spruit, Drilon Ferati
Applied Data Science in Financial Industry - Natural Language Processing Techniques for Bank Policies. RIIFORUM (2019)
Noha S. Tawfik, Marco Spruit
UU_TAILS at MEDIQA 2019: Learning Textual Entailment in the Medical Domain. BioNLP@ACL (2019)
Zhengru Shen, Xi Wang, Marco Spruit
Big Data Framework for Scalable and Efficient Biomedical Literature Mining in the Cloud. NLPIR (2019)
Zhengru Shen, Marco Spruit
LOCATE: A Web Application to Link Open-source Clinical Software with Literature. HEALTHINF (2019)
Armel Lefebvre, Marco Spruit
Designing Laboratory Forensics. I3E (2019)
Marco Spruit, Stijn Meijers
The CRISP-DCW Method for Distributed Computing Workflows. RIIFORUM (2019)
Armel Lefebvre, Marco Spruit
A Socio-Technical Perspective on reproducibility in Research Data Management. MCIS (2019)
Vincent Jorn Menger, Marco Spruit, Wouter van der Klift, Floor Scheepers
Using Cluster Ensembles to Identify Psychiatric Patient Subgroups. AIME (2019)
Bilge Yigit Ozkan, Marco Spruit
A Questionnaire Model for Cybersecurity Maturity Assessment of Critical Infrastructures. IOSec@RAID (2018)
Armel Lefebvre, Elizabeth Schermerhorn, Marco Spruit
How Research Data Management can Contribute to Efficient and Reliable Science. ECIS (2018)
Marc van den Homberg, Robert Monné, Marco Spruit
Bridging the information gap of disaster responders by optimizing data selection using cost and quality. Comput. Geosci. 120 (2018)
Ellen Luchies, Marco Spruit, Marjan Askari
Speech Technology in Dutch Health Care: A Qualitative Study. HEALTHINF (2018)
Shaheen Syed, Marco Spruit
Exploring Symmetrical and Asymmetrical Dirichlet Priors for Latent Dirichlet Allocation. Int. J. Semantic Comput. 12 (3) (2018)
Shaheen Syed, Marco Spruit
Selecting Priors for Latent Dirichlet Allocation. ICSC (2018)
Marco Spruit, Miltiadis D. Lytras
Applied data science in patient-centric healthcare: Adaptive analytic systems for empowering physicians and patients. Telematics Informatics 35 (4) (2018)
Vincent Jorn Menger, Floor Scheepers, Lisette Maria van Wijk, Marco Spruit
DEDUCE: A pattern matching method for automatic de-identification of Dutch medical text. Telematics Informatics 35 (4) (2018)
Lonneke Brakenhoff, Marco Spruit
Consumer Engagement Characteristics in Mobile Advertising. KDIR (2017)
Jan van Dijk, Mortaza S. Bargh, Sunil Choenni, Marco Spruit
Maturing Pay-as-you-go Data Quality Management: Towards Decision Support for Paying the Larger Bills. DATA (Revised Selected Papers) (2016)
Frederik Mijnhardt, Thijs Baars, Marco Spruit
Organizational Characteristics Influencing SME Information Security Maturity. J. Comput. Inf. Syst. 56 (2) (2016)
Kim Verkooij, Marco Spruit
Mobile Business Intelligence: Key Considerations for Implementations Projects. J. Comput. Inf. Syst. 54 (1) (2013)
Robin Krens, Marco Spruit, Nathalie Urbanus
Evaluating Information Security Effectiveness with Health Professionals. BIOSTEC (Selected Papers) (2011)