Rijcken,E., Zervanou,K., Mosteiro,P., Scheepers,F., Spruit,M., & Kaymak,U. (2024). Topic Specificity: a Descriptive Metric for Algorithm Selection and Finding the Right Number of Topics. Natural Language Processing Journal, 8, 100082. 10.1016/j.nlp.2024.100082
Muizelaar,H., Haas,M., van Dortmont,K., van der Putten,P., & Spruit,M. (2024). Extracting Patient Lifestyle Characteristics from Dutch Clinical Text with BERT Models. BMC Medical Informatics and Decision Making, 24, 151. 10.1186/s12911-024-02557-5
Khalil, S., Tawfik,N., & Spruit,M. (2024). Federated learning for privacy-preserving depression detection with multilingual language models in social media posts. Patterns, 5, 100990. 10.1016/j.patter.2024.100990
Khalil, S., Tawfik,N., & Spruit,M. (2024). Exploring the Potential of Federated Learning in Mental Health Research: A Systematic Literature Review. Applied Intelligence, 54, 1619-1636. 10.1007/s10489-023-05095-1
Jungo,K., Salari,P., Meier,R., Bagattini,M., Spruit,M., Rodondi,N., Streit,S., & Schwenkglenks,M. (2024). Cost-effectiveness of a medication review intervention for general practitioners and their multimorbid older patients with polypharmacy: Analysis of data from the OPTICA trial. Socio-Economic Planning Sciences, 92, 101837. 10.1016/j.seps.2024.101837
Jungo,K., Deml,M., Schalbetter,F., Moor,J., Feller,M., Lüthold,R., Huibers,J., Sallevelt,B., Meulendijk,M., Spruit,M., Schwenkglenks,M., Rodondi,N., & Streit,S. (2024). A mixed methods analysis of the medication review intervention centered around the use of the Systematic Tool to Reduce Inappropriate Prescribing Assistant (STRIPA) in Swiss primary care practices. BMC Health Services Research, 24, article number 350. 10.1186/s12913-024-10773-y
Jungo,K., Ansorg,A., Floriani,C., Rozsnyai,Z., Schwab,N., Meier,R., Valeri,F., Stalder,O., Limacher,A., Schneider,C., Bagattini,M., Trelle,S., Spruit,M., Schwenkglenks,M., Rodondi,N., Streit,S. (2023). Optimising prescribing in older adults with multimorbidity and polypharmacy in primary care (OPTICA): cluster randomised clinical trial. BMJ, 381, e074054. 10.1136/bmj-2022-074054
Lefebvre,A., & Spruit,M. (2023). Laboratory forensics for open science readiness: an investigative approach to research data management. Information Systems Frontiers, 25, 381-399. 10.1007/s10796-021-10165-1
Ferguson,R., Khosravi,H., Kovanovic,V., Viberg,O., Aggarwal,A., Brinkhuis,M., Shum,S., Chen,L., Drachsler,H., Guerrero,V., Hanses,M., Hayward,C., Hicks,B., Jivet,I., Kitto,K., Kizilcec,R., Lodge,J., Manly,C., Matz,R., Meaney,M., Ochoa,X., Schuetze,B., Spruit,M., van Haastrecht,H., van Leeuwen,A., van Rijn,L., Tsai,Y., Weidlich,J., Williamson,K., & Yan,V. (2023). Aligning the Goals of Learning Analytics with its Research Scholarship: An Open Peer Commentary Approach. Journal of Learning Analytics, 10(2), 10-50. 10.18608/jla.2023.8197
Haastrecht,M., Brinkhuis,M., Wools,S., & Spruit,M. (2023). VAST: a practical validation framework for e-assessment solutions. Information Systems and e-Business Management, 21, 603-627. 10.1007/s10257-023-00641-3
Yigit Ozkan,B., & Spruit,M. (2023). Adaptable Security Maturity Assessment and Standardization for Digital SMEs. Journal of Computer Information Systems, 63(4), 965-987. 10.1080/08874417.2022.2119442
Ardesch,F., Meulendijk,M., Kist,J., Vos,R., Vos,H., Kiefte-de Jong,J., Spruit,M., Bruijnzeels,M., Bussemaker,J., Numans,M., & Struijs,J. (2023). A data-driven population health management approach: The extramural LUMC academic network data infrastructure. Health Policy, 132, 104769. 10.1016/j.healthpol.2023.104769
van Toledo, C., Schraagen, M., van Dijk, F., Brinkhuis, M., & Spruit, M. (2023). Readability Metrics for Machine Translation in Dutch: Google vs. Azure & IBM. Applied Sciences, 13(7), 4444. 10.3390/app13074444
van Dijk,F., Gadellaa,J., Spruit,M., van Toledo,C., Brinkkemper,S., & Brinkhuis,M. (2023). Uncovering the Structures of Privacy Research using Bibliometric Network Analysis and Topic Modelling. Organizational Cybersecurity Journal: Practice, Process and People, 3(2), 81-99. 10.1108/ocj-11-2021-0034
Borger,T., Mosteiro,P., Kaya,H., Rijcken,E., Salah,A., Scheepers,F., & Spruit,M. (2022). Federated Learning for Violence Incident Prediction in a Simulated Cross-institutional Psychiatric Setting. Expert Systems with Applications, 199, 116720. 10.1016/j.eswa.2022.116720
Spruit,M., Verkleij,S., Schepper,C. de, & Scheepers,F. (2022). Exploring Language Markers of Mental Health in Psychiatric Stories. Applied Sciences, 12(4), Current Approaches and Applications in Natural Language Processing, 2179. 10.3390/app12042179
Siegersma,K., Evers,M., Bots,S., Groepenhoff,F., Appelman,Y., Hofstra,L., Tulevski,I., Somsen,A., Den Ruijter,H., Spruit,M.*, & Onland-Moret,C.* (2022). Adverse Drug Reactions Identification in clinical Notes (ADRIN): Word embedding models and string matching. JMIR Medical Informatics, 10(1), e31063. http://dx.doi.org/10.2196/31063
Mosteiro,P., Kuiper,J., Masthoff,J., Scheepers,F., & Spruit,M. (2022). Bias Discovery in Machine Learning Models for Mental Health. Information, 13(5), Advances in Explainable Artificial Intelligence, 237. 10.3390/info13050237
Toledo, C. van, Schraagen,M., Dijk,F. van, Brinkhuis,M., & Spruit,M. (2022). Exploring the Utility of Dutch Question Answering Datasets for Human Resource Contact Centres. Information, 13(11), Novel Methods and Applications in Natural Language Processing, 513. 10.3390/info13110513
Rijcken,E., Kaymak,U., Scheepers,F., Mosteiro,P., Zervanou,K., & Spruit,M. (2022). Topic Modeling for Interpretable Text Classification from EHRs. Frontiers in Big Data, Section Data Mining and Management, 846930. 10.3389/fdata.2022.846930
Sarhan,I., & Spruit,M. (2021). Open-CyKG: An Open Cyber Threat Intelligence Knowledge Graph. Knowledge-Based Systems, 233(107524). 10.1016/j.knosys.2021.107524
Sallevelt,B., Huibers,C., Heij,J., Egberts,T., Puijenbroek,E. van, Shen,Z., Spruit,M., Jungo,K., Rodondi,N., Dalleur,O., Spinewine,A. Jennings,E., O'Mahony,D., Wilting,I., & Knol,W. (2021). Frequency and Acceptance of Clinical Decision Support System-Generated STOPP/START Signals for Hospitalised Older Patients with Polypharmacy and Multimorbidity. Drugs & Aging, 39, 59-73. 10.1007/s40266-021-00904-z
Shen,Z., & Spruit,M. (2021). Automatic Extraction of Adverse Drug Reactions from Summary of Product Characteristics. Applied Sciences, 11(6), Applications of Artificial Intelligence in Pharmaceutics, 2663. 10.3390/app11062663
Haastrecht,M. van, Yigit Ozkan,B., Brinkhuis,M., & Spruit,M. (2021). Respite for SMEs: A Systematic Review of Socio-Technical Cybersecurity Metrics. Applied Sciences, 11(15), Human Factors in the Digital Society, 6909. 10.3390/app11156909
Jungo, K., Meier,R., Valeri,F., Schwab,N., Schneider,C., Reeve,E., Spruit,M., Schwenkglenks,M., Rodondi,N., & Streit,S. (2021). Baseline characteristics and comparability of older multimorbid patients with polypharmacy and general practitioners participating in a randomized controlled primary care trial. BMC Family Practice, 22(123). 10.1186/s12875-021-01488-8
Haastrecht,M. van, Gulpur,G., Tzismadia,G., Kab,R., Priboi,C., David,D., Racataian,A., Baumgartner,L., Fricker,S., Ruiz,J., Armas,E., Brinkhuis,M., & Spruit,M. (2021). A Shared Cyber Threat Intelligence Solution for SMEs. Electronics, 10(23), Emerging Applications of Information Security Technology in Digital Environment, 2913. 10.3390/electronics10232913
Mosteiro,P., Rijcken,E., Zervanou,K., Kaymak,U., Scheepers,F., & Spruit,M. (2021). Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes. Journal of Artificial Intelligence for Medical Sciences, 2(1-2), 44-54. 10.2991/jaims.d.210225.001
Felix,S., Bagheri,A., Ramjankhan,F., Spruit,M., Oberski,D., Jonge,N. de, Laake, L. van, Suyker,W., & Asselbergs,F. (2021). A Data Mining-based Cross-Industry Process for Predicting Major Bleeding in Mechanical Circulatory Support. European Heart Journal - Digital Health, 2(4). 10.1093/ehjdh/ztab082
Haastrecht,M. van, Sarhan,I., Yigit Ozkan,B., Brinkhuis,M., & Spruit,M. (2021). SYMBALS: A Systematic Review Methodology Blending Active Learning and Snowballing. Frontiers in Research Metrics and Analytics, 6, Section Text-mining and Literature-based Discovery. 10.3389/frma.2021.685591
Smit,T., Haastrecht,M. van, & Spruit,M. (2021). The Effect of Countermeasure Readability on Security Intentions. Journal of Cybersecurity and Privacy, 1, Cyber Situational Awareness Techniques and Human Factors, 675-704. 10.3390/jcp1040034
Yigit Ozkan,B., van Lingen,S., & Spruit,M. (2021). The Cybersecurity Focus Area Maturity (CYSFAM) Model. Journal of Cybersecurity and Privacy, 1, 119-140. 10.3390/jcp1010007
Spruit,M., Kais,M., & Menger,V. (2021). Automated Business Goal Extraction from E-mail Repositories to Bootstrap Business Understanding. Future Internet, 13(10), Trends of Data Science and Knowledge Discovery, 243. 10.3390/fi13100243
Tawfik,N., & Spruit,M. (2020). Evaluating Sentence Representations for Biomedical Text: Methods and Experimental Results. Journal of Biomedical Informatics, 104(April), 103396. 10.1016/j.jbi.2020.103396
Meppelink,J., Langen,J. van, Siebes,A., & Spruit,M. (2020). Beware Thy Bias: Scaling Mobile Phone Data to Measure Traffic Intensities. Sustainability, 12(9), Exploring the Impact of AI on Politics and Society , 3631. 10.3390/su12093631
Omta,W., van Heesbeen,R, Shen,Z., de Nobel,J., van der Velden,L., Medema,R., Siebes,A., Feelders,A., Brinkkemper,S., Klumperman,J., Spruit,M., Brinkhuis,M., & Egan,D. (2020). Combining Supervised and Unsupervised Machine Learning Methods for Phenotypic Functional Genomics Screening. SLAS Discovery, 25(6), 655-664. 10.1177/2472555220919345
Ooms,R., & Spruit,M. (2020). Self-Service Data Science in Healthcare with Automated Machine Learning. Applied Sciences, 10(9), Medical Artificial Intelligence, 2992. 10.3390/app10092992
Sarhan,I., & Spruit,M. (2020). Can We Survive without Labelled Data in NLP? Transfer Learning for Open Information Extraction . Applied Sciences, 10(17), Natural Language Processing: Emerging Neural Approaches and Applications, 5758. 10.3390/app10175758
Tawfik,N., & Spruit,M. (2020). Computer-Assisted Relevance Assessment: A Case Study of Updating Systematic Medical Reviews. Applied Sciences, 10(8), Data Technology Applications in Life, Diseases, and Health, 2845. 10.3390/app10082845
Crowley,E., Sallevelt,B., Huibers,C., Murphy,K., Spruit,M., Shen,Z., Boland,B., Spinewine,A., Dalleur,O., Moutzouri,E., Lowe,A., Feller,M., Schwab,N., Adam,L., Wilting,I., Knol,W., Rodondi,N., Byrne,S., & O'Mahony,D. (2020). Intervention protocol: OPtimising thERapy to prevent avoidable hospital Admission in the Multi-morbid elderly (OPERAM): a structured medication review with support of a computerised decision support system. BMC Health Services Research, 20(220). 10.1186/s12913-020-5056-3
Lefebvre,A., Bakhtiari,B., & Spruit,M. (2020). Exploring Research Data Management Planning Challenges in Practice. IT - Information Technology, 62(1), 29-37. 10.1515/itit-2019-0029
Omta,W., Heesbeen,R. van, Shen,I., Feelders,A., Brinkhuis,M., Egan,D., & Spruit,M. (2020). PurifyR: An R Package for Highly Automated Reproducible Variable Extraction and Standardization. Systems Medicine, 3(1), Integrative Data Analysis in Systems Medicine, 1-7. 10.1089/sysm.2019.0007
Spruit,M., & Ferati,D. (2020). Text Mining Business Policy Documents: Applied Data Science in Finance. International Journal of Business Intelligence Research, 11(2), 1-19. 10.4018/IJBIR.20200701.oa1
Toledo,C. van, Dijk,F. van, & Spruit,M. (2020). Dutch Named Entity Recognition and De-identification Methods for the Human Resource Domain. International Journal on Natural Language Computing, 9(6). 10.5121/ijnlc.2020.9602
Syed,S., Aodha,L., Scougal,C., & Spruit,M. (2019). Mapping the global network of fisheries science collaboration. Fish and Fisheries, 20(5), 830-856. 10.1111/faf.12379
Yigit Ozkan,B., Spruit,M., Wondolleck,R., & Burriel Coll,V. (2019). Modelling adaptive information security for SMEs in a cluster. Journal of Intellectual Capital, 21(1). 10.1108/JIC-05-2019-0128
Jungo,K., Rozsnyai,Z., Mantelli,S., Floriani,C., Lowe,A., Lindemann,F., Schwab,N., Meier,R. Elloumi,L., Huibers,C., Sallevelt,B., Meulendijk,M., Reeve,E., Feller,M., Schneider,C., Bhend,H., Burki,P., Trelle,S., Spruit,M., Schwenkglenks,M., Rodondi,N., & Streit,S. (2019). Optimising PharmacoTherapy In the multimorbid elderly in primary CAre (OPTICA) to improve medication appropriateness: study protocol of a cluster randomised controlled trial. BMJ Open, 9, e031080. 10.1136/bmjopen-2019-031080
Adam,L., Moutzouri,E., Baumgartner,C., Lowe,A., Feller,M., M'Rabet-Bensalah,K., Schwab,N., Hossmann,S., Schneider,C., Jegerlehner,S., Floriani,C., Limacher,A., Jungo,K., Huibers,C., Streit,S., Schwenkglenks,M., Spruit,M., Van Dorland,A., Donzé1,J., Kearney,P., Jüni,P., Aujesky,D., Jansen,P., Boland,B., Dalleur,O., Byrne,S., Knol,W., Spinewine1,A., O'Mahony,D., Trelle,S., & Rodondi,N. (2019). Rationale and design of OPtimising thERapy to prevent Avoidable hospital admissions in Multimorbid older people (OPERAM): a cluster randomised controlled trial. BMJ Open, 9, e02676. 10.1136/bmjopen-2018-026769
Shen,Z., & Spruit,M. (2019). A systematic review on open source clinical software on GitHub for improving software reuse in smart healthcare . Applied Sciences, 9, Data Analytics in Smart Healthcare, 150. https://doi.org/10.3390/app9010150
Shen,Z., Krimpen,H. van, & Spruit,M. (2019). A lightweight API-based approach for building flexible clinical NLP systems. Journal of Healthcare Engineering, 11, Article ID 3435609. 10.1155/2019/3435609
Menger,V., Spruit,M., Est,R. van, Nap,E., & Scheepers,F. (2019). Machine Learning Approach to Inpatient Violence Risk Assessment Using Routinely Collected Clinical Notes in Electronic Health Records. JAMA Network Open, 2(7), e196709. 10.1001/jamanetworkopen.2019.6709
Ooms,R., Spruit,M., & Overbeek,S. (2019). 3PM Revisited: Dissecting the Three Phases Method for Outsourcing Knowledge Discovery. International Journal of Business Intelligence Research, 10(1), 80-93. 10.4018/IJBIR.2019010105
Yigit Ozkan,B., & Spruit,M. (2019). Cybersecurity Standardisation for SMEs: The Stakeholders' Perspectives and a Research Agenda. International Journal of Standardization Research, 17(2), 1-25. 10.4018/IJSR.20190701.oa1
Spruit,M., & Lytras,M. (2018). Applied Data Science in Patient-centric Healthcare: Adaptive Analytic Systems for Empowering Physicians and Patients. Telematics and Informatics, 35(4), 643-653. 10.1016/j.tele.2018.04.002
Syed,S., Borit,M., & Spruit,M. (2018). Narrow lenses for capturing fisheries complexity: A topic analysis of fisheries science from 1990 to 2016. Fish and Fisheries 19(4), 643-661. 10.1111/faf.12280
Homberg,M. van den, Monné,R., & Spruit,M. (2018). Bridging the information gap of disaster responders by optimizing data selection using cost and quality. Computer & Geosciences, 120, 60-72. 10.1016/j.cageo.2018.06.002
Menger,V., Scheepers,F., & Spruit,M. (2018). Comparing Deep Learning and Classical Machine Learning Approaches for Predicting Inpatient Violence Incidents from Clinical Text. Applied Sciences, 8(6), Data Analytics in Smart Healthcare, 981. 10.3390/app8060981
Menger,V., Scheepers,F., Wijk,L. van, & Spruit,M. (2018). DEDUCE: A pattern matching method for automatic de-identification of Dutch medical text. Telematics and Informatics, 35(4), 727-736. 10.1016/j.tele.2017.08.002
Seddik Tawfik,N., & Spruit,M. (2018). The SNPCurator: Literature mining of SNP disease association. Database: The Journal of Biological Databases and Curation, 2018, bay020. 10.1093/database/bay020
Pieket Weeserik,B., & Spruit,M. (2018). Improving Operational Risk Management using Business Performance Management technologies. Sustainability, 10(3), 640. 10.3390/su10030640
Syed,S., & Spruit,M. (2018). Exploring Symmetrical and Asymmetrical Dirichlet Priors for Latent Dirichlet Allocation. International Journal of Semantic Computing, 12(3), 1-25. 10.1142/S1793351X18400184
Buijs,M., & Spruit,M. (2017). Asynchronous social search as a single point of access to information. Library Hi Tech, 35(4), 656-671. 10.1108/LHT-01-2017-0007
Omta,W., Nobel,J. de, Klumperman,J., Egan,D., Spruit.M., & Brinkhuis,M. (2017). Improving Comprehension Efficiency of HCS Data Through Interactive Visualizations. ASSAY and Drug Development Technologies, 15(6), 247-256. 10.1089/adt.2017.794
Meulendijk,M., Spruit,M., Lefebvre,A., & Brinkkemper,S. (2017). To what extent can prescriptions be meaningfully exchanged between primary care terminologies? A case study of four Western European classification systems. IET Software, 11(5), 256-264. 10.1049/iet-sen.2016.0301
Meulendijk,M., Spruit,M., Willeboordse,F., Numans,M., Brinkkemper,S., Knol,W., Jansen,P., & Askari,M. (2016). Efficiency of clinical decision support systems improves with experience. Journal of Medical Systems, 40(4), 1-7. 10.1007/s10916-015-0423-z
Eskes,P., Spruit,M., Brinkkemper,S., Vorstman,J., & Kas,M. (2016). The Sociability Score: App-based social profiling from a healthcare perspective. Computers in Human Behavior , 59, 39-48. 10.1016/j.chb.2016.01.024
Omta,W., Heesbeen,R. van, Pagliero,R., Velden,L. van der, Lelieveld,D., Nellen,M., Kramer,M., Yeong,M., Saeidi,A., Medema,R., Spruit,M., Brinkkemper,S., Klumperman,J., & Egan,D. (2016). HC StratoMineR: A web-based tool for the rapid analysis of high content datasets. ASSAY and Drug Development Technologies, 14(8), 439-452. 10.1089/adt.2016.726
Menger,V., Spruit,M., Hagoort,K., & Scheepers,F. (2016). Transitioning to a data driven mental health practice: collaborative expert sessions for knowledge and hypothesis finding. Computational and Mathematical Methods in Medicine, 11, 9089321. 10.1155/2016/9089321
Mijnhardt,F., Baars,T., & Spruit,M. (2016). Organizational Characteristics Influencing SME Information Security Maturity. Journal of Computer Information Systems, 56(2), 106-115. 10.1080/08874417.2016.1117369
Baars,T., Mijnhardt,F., Vlaanderen,K., & Spruit,M. (2016). An Analytics Approach to Adaptive Maturity Models using Organizational Characteristics. Decision Analytics, 3(5). 10.1186/s40165-016-0022-1
Stroe,A., Spruit,M., Koelemeijer,S., & Beltman,B. (2016). PMOMM: The Project Management Office Maturity Model. International Journal of Knowledge Society Research, 7(3), 47-61. 10.4018/IJKSR.2016070104
Spruit,M., & Pietzka,K. (2015). MD3M: The Master Data Management Maturity Model. Computers in Human Behavior, 51(B), 1068-1076. 10.1016/j.chb.2014.09.030
Meulendijk,M., Spruit,M., Drenth-van Maanen,C., Numans,M., Brinkkemper,S., Jansen,P., & Knol,W (2015). Computerized decision support improves medication review effectiveness: an experiment evaluating the STRIP Assistant's usability. Drugs & Aging, 32(6), 495-503. 10.1007/s40266-015-0270-0
Spruit,M., & Sacu,C. (2015). DWCMM: The Data Warehouse Capability Maturity Model. Journal of Universal Computer Science, 21(11), 1508-1534. 10.3217/jucs-021-11-1508
Spruit,M., & Vlug,B. (2015). Effective and Efficient Classification of Topically-Enriched Domain-Specific Text Snippets. International Journal of Strategic Decision Sciences, 6(3), 1-17. 10.4018/IJSDS.2015070101
Spruit,M., & Adriana,T. (2015). Quantifying education quality in secondary schools. International Journal of Knowledge Society Research, 6(1), 55-87.
Otten,S., Spruit,M., & Helms,R. (2015). Towards decision analytics in product portfolio management. Decision Analytics, 2(4). 10.1186/s40165-015-0013-7
Pachidi,S., & Spruit,M. (2015). The Performance Mining method: Extracting performance knowledge from software operation data. International Journal of Business Intelligence Research, 6(1), 11-29. 10.4018/IJBIR.2015010102
Christoulakis,M., Spruit,M., & Dijk,J. van (2015). Data Quality Management in the public domain: A case study within the Dutch Justice System. International Journal of Information Quality, 4(1), 1-17. 10.1504/IJIQ.2015.071672
Spruit,M., Vroon,R., & Batenburg,R. (2014). Towards healthcare business intelligence in long-term care: an explorative case study in the Netherlands. Computers in Human Behavior, 30, Special Issue: ICTs for Human Capital, 698-707. 10.1016/j.chb.2013.07.038
Fotaki,G., Spruit,M., Brinkkemper,S., & Meijer,D. (2014). Exploring big data opportunities for online customer segmentation. International Journal of Business Intelligence Research, 5(3), 57-73. 10.4018/ijbir.2014070105
Spruit,M., & Boer,T. de (2014). Business Intelligence as a Service: A Vendor's Approach. International Journal of Business Intelligence Research, 5(4), 26-43. 10.4018/IJBIR.2014100103
Maass,D., Spruit,M., & Waal,P. de (2014). Improving Short-Term Demand Forecasting For Short-Lifecycle Consumer Products With Data Mining Techniques: A Case Study In The Retail Industry. Decision Analytics, 1(1), 4. 10.1186/2193-8636-1-4
Pachidi,S., Spruit,M., & Weerd,I. van der (2014). Understanding Users' Behavior with Software Operation Data Mining. Computers in Human Behavior, 30, Special Issue: ICTs for Human Capital, 583-594. 10.1016/j.chb.2013.07.049
Snijders,R., & Spruit,M. (2014). Towards Improved Music Recommendation: Using Blogs And Micro-Blogs. International Journal of Multimedia Data Engineering and Management , 5(1), 34-51. 10.4018/ijmdem.2014010103
Meulendijk,M., Spruit,M., Drenth-van-Maanen,A., Numans,M., Brinkkemper,S., & Jansen,P. (2013). General practitioners' attitudes towards decision-supported prescribing: an analysis of the Dutch primary care sector. Health Informatics Journal, 19(4), 247-263. 10.1177/1460458212472333
Verkooij,K., & Spruit,M. (2013). Mobile Business Intelligence: Key considerations for implementation projects. Journal of Computer Information Systems, 54(1), 23-33. 10.1080/08874417.2013.11645668
Omta,W., Egan,D., Klumperman,J., Spruit,M., & Brinkkemper,S. (2013). HTS-IA: High Throughput Screening Information Architecture for Genomics. International Journal of Healthcare Information Systems and Informatics, 8(4), 17-31. 10.4018/IJHISI
Smeitink,M., & Spruit,M. (2013). Maturity for Sustainability in IT: Introducing the MITS. International Journal of Information Technologies and Systems Approach, 6(1), IT goes Green: Systemic Approaches to IT Policy Making, Design, Evaluation and Management, 39-56. 10.4018/jitsa.2013010103
Baars,T., & Spruit,M. (2012). Analysing the Security Risks of Cloud Adoption Using the SeCA Model: A Case Study. Journal of Universal Computer Science, 18(12), Security in Information Systems, Published 6/28/2012, 1662-1678. 10.3217/jucs-018-12-1662
Spruit,M., & Abdat,N. (2012). The Pricing Strategy Guideline Framework for SaaS Vendors. International Journal of Strategic Information Technology and Applications, 3(1), January-March 2012, 38-54. 10.4018/jsita.2012010103
Spruit,M., & Bruijn,W. de (2012). CITS:The Cost of IT Security Framework. International Journal of Information Security and Privacy, 6(4), October-December 2012, 94-116. 10.4018/jisp.2012100105
Baars,T., & Spruit,M. (2012). Designing a Secure Cloud Architecture: The SeCA Model. International Journal of Information Security and Privacy, 6(1), January-March 2012, 14-32. 10.4018/jisp.2012010102
Omta,W., Egan,D., Spruit,M., & Brinkkemper,S. (2012). Information Architecture in High Throughput Screening. Procedia Technology, 5, 696-705. 10.1016/j.protcy.2012.09.077
Wasmann,M., & Spruit,M. (2012). Performance Management within Social Network Sites: The Social Network Intelligence Process Method. International Journal of Business Intelligence Research, 3(2), April-June 2012, 49-63. 10.4018/jbir.2012040104
Weeghel,R. van, & Spruit,M. (2012). Corporate Strategy Optimization for Dutch Notaries with the use of IT. International Journal of Computer Information Systems and Industrial Management Applications, 4(1), 317-325.
Wijaya,S., Spruit,M., Scheper,W., & Versendaal,J. (2011). Web 2.0-based Webstrategies for Three Different Types of Organizations. Computers in Human Behavior, 27(4), 1399-1407.
Bebensee,T., Helms,R., & Spruit,M. (2011). Exploring Web 2.0 Applications as a Mean of Bolstering up Knowledge Management. Electronic Journal of Knowledge Management, 9(1), ECKM Special Issue, 1-9. academic-publishing.org/ index.php/ejkm/article/view/915
Faase,R., Helms,R., & Spruit,M. (2011). Web 2.0 In The CRM Domain: Defining Social CRM. International Journal of Electronic Customer Relationship Management, 5(1), 1-2. 10.1504/IJECRM.2011.039797
Vleugel,A., Spruit,M., & Daal,A. van (2010). Historical data analysis through data mining from an outsourcing perspective: the three-phases method. International Journal of Business Intelligence Research, 1(3), 42-65. 10.4018/jbir.2010070104
Spruit,M., Heeringa,W., & Nerbonne,J. (2009). Associations among linguistic levels. Lingua, 119(11), The forests behind the trees, 1624-1642. 10.1016/j.lingua.2009.02.001
Heeringa,W., Nerbonne,J., Bezooijen,R. van, & Spruit,M. (2007). Geografie en inwoneraantallen als verklarende factoren voor variatie in het Nederlandse dialectgebied. Tijdschrift voor Nederlandse taal- en letterkunde, 123(1), Kwantitatieve benaderingen in de taal- en letterkunde, 70-82. www.tntl.nl/index.php/ tntl/article/view/150
Spruit,M. (2006). Measuring syntactic variation in Dutch dialects. Literary and Linguistic Computing, 21(4), Progress in Dialectometry: Toward Explanation, 493-506. 10.1093/llc/fql043
Haastrecht,M., Brinkhuis,M., & Spruit,M. (2024). Federated Learning Analytics: Investigating the Privacy-Performance Trade-Off in Machine Learning for Educational Analytics. In: Olney et al. (eds), Artificial Intelligence in Education (AIED 2024), Lecture Notes in Computer Science, 14830 (pp. 62-74). 8-12 July 2024, Recife, Brazil. 10.1007/978-3-031-64299-9_5
Dijk,B. van, Duijn,M. van, Kloostra,L., Spruit,M., & Beekhuizen,B. (2024). Using a Language Model to Unravel Semantic Development in Children's Use of a Dutch Perception Verb. 8th Workshop on Cognitive Aspects of the Lexicon (CogALex@ LREC-COLING 2024) (pp. 98-106). 20 May 2024, Torino, Italy. 2024 - Dijk Duijn Kloostra Spruit Beekhuizen.pdf
Wang,R., Verberne,S., & Spruit,M. (2024). Attend All Options at Once: Full Context Input for Multi-choice Reading Comprehension. In European Conference on Information Retrieval (ECIR 2024) (pp. 387-402). 24-28 March 2024, Glasgow, Scotland. Cham: Springer. 10.1007/978-3-031-56027-9_24
Dijk, B., Kouwenhoven,T., Spruit,M., & Duijn, M. van (2023). Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding. Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) (pp. 12641-12654). ACL. December 6-10, Singapore. aclanthology.org/2023.emnlp-main.779/
Dijk, B., Duijn, M., Verberne,S., & Spruit,M. (2023). ChiSCor: A Corpus of Freely-Told Fantasy Stories by Dutch Children for Computational Linguistics and Cognitive Science. The SIGNLL Conference on Computational Natural Language Learning (CoNNL 2023) (pp. 352-363). ACL. December 6-7, Singapore. (best paper award) aclanthology.org/2023.conll-1.23/
Duijn, M., Dijk, B., Kouwenhoven,T., Valk,W. de, Spruit,M., & Putten,P. van der (2023). Theory of Mind in Large Language Models vs. Children: Examining Non-Literal Language Comprehension and Recursive Intentionality. The SIGNLL Conference on Computational Natural Language Learning (CoNNL 2023) (pp. 389-402). ACL. December 6-7, Singapore. aclanthology.org/2023.conll-1.25/
Dijk, B., Spruit,M., Duijn, M. (2023). Theory of Mind in Freely-Told Children's Narratives: A Classification Approach. Findings of the Association for Computational Linguistics (ACL 2023) (pp. 12979-12993). ACL. 9-14 July, Toronto, Canada. aclanthology.org/2023.findings-acl.822/
Haastrecht,M., Brinkhuis,M., Peichl,J., Remmele,B., & Spruit,M. (2023). Embracing Trustworthiness and Authenticity in the Validation of Learning Analytics Systems. 13th International Conference on Learning Analytics and Knowledge (LAK 2023) (pp. 552-558). ACM. Arlington, Texas, USA. 10.1145/3576050.3576060
Rijcken,E., Scheepers,S., Zervanou,K., Spruit,M., Mosteiro,P., Kaymak,U. (2023). Towards Interpreting Topic Models with ChatGPT. The 20th World Congress of the International Fuzzy Systems Association (IFSA 2023). Paper 20. Daegu, Korea, 20-24 Aug 2023. research.tue.nl/files/300364784/ IFSA_InterpretingTopicModelsWithChatGPT.pdf
Rijcken,E., Zervanou,K., Spruit,M., Scheepers,S., Kaymak,U. (2023). Effect of calculating Pointwise Mutual Information using a Fuzzy Sliding Window in Topic Modeling. 2023 IEEE International Conference on Fuzzy Systems (FUZZ 2023). Songdo Incheon, Korea, 13-17 Aug 2023. 10.1109/FUZZ52849.2023.10309675
Sarhan,I., Mosteiro,P., & Spruit,M. (2022). UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation. Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (pp. 271-281). SemEval 2022, 15 July 2022, Seattle, Washington, United States: ACL. aclanthology.org/2022.semeval-1.35
Van Duijn,M., Van Dijk,B., & Spruit,M. (2022). Looking from the Inside: How Children Render Character's Perspectives in Freely Told Fantasy Stories. Proceedings of the 3rd Wordplay: When Language Meets Games Workshop (pp. 66-76). Wordplay 2022, 15 July 2022, Seattle, Washington, United States: ACL. aclanthology.org/2022.wnu-1.8
Rijcken,E., Mosteiro,P., Zervanou,K., Spruit,M., Scheepers,F., & Kaymak,U. (2022). FuzzyTM: a Software Package for Fuzzy Topic Modeling. IEEE International Conference on Fuzzy Systems 2022 (pp. 1-8). IEEE WCCI 2022: FUZZ-IEEE, 18-23 July, Padua, Italy: IEEE. 10.1109/FUZZ-IEEE55066.2022.9882661
Rijcken,E., Zervanou,K., Spruit,M., Mosteiro,P., Scheepers,F., & Kaymak,U. (2022). Exploring Embedding Spaces for more Coherent Topic Modeling in Electronic Health Records. IEEE International Conference on Systems, Man, and Cybernetics (pp. 2669-2674). SMC 2022, Oct 9-12, 2022, Prague, Czech Republic: IEEE. 10.1109/SMC53654.2022.9945594
Dijk,F. van, Spruit,M., Toledo,C. van, & Brinkhuis,M. (2021). Pillars of Privacy: Identifying Core Theory in a Network Analysis of Privacy. 29th European Conference on Information Systems. ECIS 2021, Marrakech, Morocco. aisel.aisnet.org/ecis2021_rp/84/
Haastrecht,M. van, Sarhan,I., Shojaifar,A., Baumgartner,L., Mallouli,W., & Spruit,M. (2021). A Threat-Based Cybersecurity Risk Assessment Approach Addressing SME Needs. 16th International Conference on Availability, Reliability and Security (ARES 2021), International Workshop on Security and Privacy for SMEs (pp. Paper 230). SME-SP 2021 at ARES 2021, Aug 17-20, 2021, Vienna, Austria: ACM. dl.acm.org/doi/10.1145/3465481.3469199
Rijcken,E., Scheepers, Mosteiro,P., Zervanou,K., Spruit,M., & Kaymak,U.,F. (2021). A Comparative Study of Fuzzy Topic Models and LDA in terms of Interpretability. IEEE Symposium Series on Computational Intelligence. SSCI 2021, Dec 5-7, Orlando, Florida. 10.1109/SSCI50451.2021.9660139
Spruit,M., & Vries,N. de (2021). Self-Service Data Science for Adverse Event Prediction in Electronic Healthcare Records. In Visvizi,A., Lytras,M., & Aljohani,N. (Eds.), Springer Proceedings in Complexity, Research and Innovation Forum 2020: Disruptive Technologies in Times of Change (pp. 517-535). RII 2020, April 17-19, Athens, Greece: Springer. 10.1007/978-3-030-62066-0_39
Spruit,M., Dedding,T., & Vijlbrief,D. (2020). Self-Service Data Science for Healthcare Professionals: A Data Preparation Approach. Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF (pp. 724-734). HEALTHINF 2020, February 24-26, Valletta, Malta: ScitePress. 10.5220/0009169507240734
Yigit Ozkan,B., & Spruit,M. (2020). Addressing SME Characteristics for Designing Information Security Maturity Models . In Clarke N., Furnell S. (Eds.), IFIP Advances in Information and Communication Technology: Human Aspects of Information Security and Assurance (pp. 161-174). HAISA 2020, 8-10 July, Online: IFIP. 10.1007/978-3-030-57404-8_13
Toledo,C. van, Dijk,F. van, & Spruit,M. (2020). Evaluating Dutch Named Entity Recognition and De-identification Methods in the Human Resources Domain. In Wyld,D. et al. (Ed.), Proceedings of the International Conference on NLP Techniques and Applications (pp. 239-249). NLPTA 2020, 28-29 Nov 2020, London, United Kingdom: AIRCC Publishing Corporation.10.5121/csit.2020.101520
Mosteiro,P., Rijcken,E., Zervanou,K., Kaymak,U., Scheepers,F., & Spruit,M. (2020). Making sense of violence risk predictions using clinical notes. In Huang,Z, Siuly,S., Wang,H., Zhou,R., & Zhang,Y. (Eds.), Lecture Notes in Computer Science 12435, Health Information Science: 9th International Conference (pp. 3-14). HIS 2020, Leiden: Springer. 10.1007/978-3-030-61951-0_1
Spruit,M., & Meijers,S. (2019). Big Data for the Masses: The CRISP-DCW Method for Distributed Computing Workflows. In Visvizi,A., & Lytras,M. (Eds.), Springer Proceedings in Complexity, Research & Innovation Forum 2019 (pp. 325-341). RII 2019, Rome, Italy: Springer. 10.1007/978-3-030-30809-4_30
Spruit,M., & Ferati,D. (2019). Applied Data Science in Financial Industry: Natural Language Processing Techniques for Bank Policies. In Visvizi,A., & Lytras,M. (Eds.), Springer Proceedings in Complexity, Research & Innovation Forum 2019 (pp. 351-367). RII 2019, Rome, Italy: Springer. 10.1007/978-3-030-30809-4_32
Tawfik,N., & Spruit,M. (2019). UU_TAILS at 2019 MEDIQA Challenge: Learning Textual Entailment in the Medical Domain. Proceedings of the BioNLP 2019 workshop (pp. 493-499). BioNLP 2019, August 1, 2019, Florence, Italy: Association for Computational Linguistics (ACL).
Tawfik,N., & Spruit,M. (2019). Towards Recognition of Textual Entailment in the Biomedical Domain. In Métais, E. et al. (Eds.), Lecture Notes in Computer Science 11608, NLDB 2019: International Conference on Applications of Natural Language to Information Systems (pp. 368-375). NLDB 2019, University of Salford, MediaCityUK Campus, United Kingdom, 26-28 June 2019: Springer. 10.1007/978-3-030-23281-8_28
Tawfik,N., & Spruit,M. (2019). PreMedOnto: A Computer Assisted Ontology for Precision Medicine. In Métais, E. et al. (Eds.), Lecture Notes in Computer Science 11608, NLDB 2019: International Conference on Applications of Natural Language to Information Systems (pp. 329-336). NLDB 2019, University of Salford, MediaCityUK Campus, United Kingdom, 26-28 June 2019: Springer. 10.1007/978-3-030-23281-8_28
Menger,V., Spruit,M., Klift,W. van der, & Scheepers,F. (2019). Using Cluster Ensembles to Identify Psychiatric Patient Subgroups. In Riaño,D., Wilk,S., & ten Teije,A. (Eds.), Lecture Notes in Computer Science 11526, Artificial Intelligence in Medicine (pp. 252-262). AIME 2019, Poznan, Poland, June 26-29, 2019: Springer. 10.1007/978-3-030-21642-9_31
Menger,V., Spruit,M., Bruin,J. de, Kelder,T., & Scheepers,F. (2019). Supporting Reuse of EHR Data in Healthcare Organizations: the CARED Research Infrastructure Framework. In Moucek,R., Fred,A., & Gamboa,H. (Eds.), Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 5 (pp. 41-50). HEALTHINF 2019, February 22-24, Prague, ScitePress. https://doi.org/10.5220/0007343900410050
Lefebvre, A., & Spruit,M. (2019). Designing Laboratory Forensics. In Pappas,I. Mikalef,P., Dwivedi,Y., Jaccheri,L., Krogstie,J., Mäntymäki,M. (Eds.), Lecture Notes in Computer Science 11701, Digital Transformation for a Sustainable Society in the 21st Century, I3E 2019, Trondheim, Norway. https://doi.org/10.1007/978-3-030-29374-1_20
Lefebvre,A., & Spruit,M. (2019). A Socio-Technical Perspective on Reproducibility Challenges in Research Data Management. Mediterranean Conference on Information Systems 2019 Proceedings, 10. Napels, Italy. aisel.aisnet.org/mcis2019/10
Shen,Z., Wang,X., & Spruit,M. (2019). Big Data Framework for Scalable and Efficient Biomedical Literature Mining in the Cloud. International Conference Proceedings Series by ACM, NLPIR 2019: Proceedings of the 2019 3rd International Conference on Natural Language Processing and Information Retrieval (pp. 80-86). NLPIR 2019, Tokushima, Japan: ACM. 10.1145/3342827.3342843
Shen,Z., & Spruit,M. (2019). LOCATE: A web application to link open-source clinical software with literature. In Moucek,R., Fred,A., & Gamboa,H. (Eds.), Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 5 (pp. 294-301). HEALTHINF 2019, February 22-24, Prague, ScitePress. 10.5220/0007378702940301
Sarhan,I., & Spruit,M. (2019). Contextualized Word Embeddings in a Neural Open Information Extraction Model. In Métais, E. et al. (Eds.), Lecture Notes in Computer Science 11608, NLDB 2019: International Conference on Applications of Natural Language to Information Systems (pp. 359-367). NLDB 2019, University of Salford, MediaCityUK Campus, United Kingdom, 26-28 June 2019: Springer. 10.1007/978-3-030-23281-8_31
Yigit Ozkan,B., & Spruit,M. (2019). A Questionnaire Model for Cybersecurity Maturity Assessment for Critical Infrastructures. In Fournaris,A., Lampropoulos,K., & Tordera,E. (Eds.), Lecture Notes in Computer Science (LNCS) 11398 11398, Information and Operational Technology Security Systems. First International Workshop, IOSec 2018, CIPSEC Project (pp. 49-60). IOSec 2018, 13 Sept 2018, Heraklion, Crete, Greece: Springer. 10.1007/978-3-030-12085-6_5
Lefebvre,A., Schermerhorn,E., & Spruit,M. (2018). How research data management can contribute to efficient and reliable science. 26th European Conference on Information Systems, Portsmouth, UK. aisel.aisnet.org/ecis2018_rp/35
Syed,S., & Spruit,M. (2018). Selecting Priors for Latent Dirichlet Allocation. 12th IEEE International Conference on Semantic Computing (pp. 194-202). Laguna Hills, California, USA. 10.1109/ICSC.2018.00035
Seddik Tawfik,N., & Spruit,M. (2018). Automated Contradiction Detection in Biomedical Literature. In Perner,P. (Ed.), 14th International Conference on Machine Learning and Data Mining (pp. 138-148). MLDM 2018, July 14-19, 2018, New York, NY, United States. 10.1007/978-3-319-96136-1_12
Sarhan,I., & Spruit,M. (2018). Uncovering Algorithmic Approaches in Open Information Extraction: A Literature Review. In Atzmueller, M., & Duivesteijn,W. (Eds.), 30th Benelux Conference on Artificial Intelligence Preproceedings (pp. 223-234). BNAIC, November 8-9, 2018, 's-Hertogenbosch, Netherlands: Springer CSAI / JADS. research.tue.nl/en/ publications/30th-benelux-conference-on- artificial-intelligence-bnaic-2018-pre
Yigit Ozkan,B., & Spruit,M. (2018). Assessing and Improving Cybersecurity Maturity for SMEs: Standardization aspects. 1st SMESEC Workshop. 1st SMESEC Workshop, September 14, 2018. 10.48550/arXiv.2007.01751
Luchies,E., Spruit,M., & Askari,M. (2018). Speech Technology in the Dutch Health Care: A Qualitative Study. 11th International Conference on Health Informatics (pp. 339-348). Funchal, Portugal. 10.5220/0006550103390348
Zweth,J. van der, Askari,M., Spruit,M., & Nimwegen,C. van (2018). Devices used for non-invasive tele homecare for cardiovascular patients: A systematic literature review. 11th International Conference on Health Informatics (pp. 300-307). Funchal, Portugal. 10.5220/0006541603000307
Brakenhoff,L., & Spruit,M. (2017). Consumer Engagement Characteristics in Mobile Advertising. Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 206-2014). KDIR 2017, November 1-3, 2017, Funchal, Portugal: ScitePress. https://doi.org/10.5220/0006499602060214
Syed,S., & Spruit,M. (2017). Full Text or Abstract - Examining Topic Coherence Scores Using Latent Dirichlet Allocation. 4th IEEE International Conference on Data Science and Advanced Analytics (pp. 165-174). DSAA 2017, Oct 19-21, 2017, Tokyo, Japan: IEEE. 10.1109/DSAA.2017.61
Meulendijk,M., Spruit,M., & Brinkkemper,S. (2017). Risk mediation in association rules: the case of decision support in medication review. In Teije,A. ten, Popow,C., Holmes,J., & Sacchi,L. (Eds.), LNAI 10259, 16th Conference on Artificial Intelligence in Medicine (pp. 327 ff). AIME 2017, June 21-24, Vienna, Austria: Springer. 10.1007/978-3-319-59758-4_38
Dijk,J. van, Bargh,M., Choenni,S., & Spruit,M. (2017). Maturing Pay-as-you-go Data Management: Towards decision support for paying the larger bills. In Helfert,M., Holzinger,A., Belo,O., & Francalanci,C. (Eds.), Data Management Technologies and Applications: 5th International Conference, DATA 2016, Revised Selected papers (pp. 102-124). Springer. 10.1007/978-3-319-62911-7_6
Schalk,I van der, & Spruit,M. (2017). Sign-Lingo: Feasibility of a Serious Game for Involving Parents in the Language Development of their Deaf or Hearing Impaired Child. In Broek,E. van der, Fred,A., Gamboa,H., & Vaz,M. (Eds.), Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) (pp. 191-198). HEALTHINF 2017, Febr 21-23, 2017, Porto, Portugal: SciTePress. 10.5220/0006056701910198
Spruit,M., & Jagesar,R. (2016). Power to the People! Meta-algorithmic modelling in applied data science. In Fred,A. et al. (Ed.), Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 400-406). KDIR 2016, November 11-13, 2016, Porto, Portugal: ScitePress. 10.5220/0006081604000406
Syed,S., Spruit,M., & Borit,M. (2016). Bootstrapping a Semantic Lexicon on Verb Similarities. In Fred,A. et al. (Ed.), Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 189-196). KDIR 2016, November 11-13, 2016, Porto, Portugal: ScitePress. 10.5220/0006036901890196
Toledo,C. van, & Spruit,M. (2016). Adopting privacy regulations in a data warehouse: A case of the anonimity versus utility dilemma. In Fred,A. et al. (Ed.), Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 234-239). KDIR 2016, November 11-13, 2016, Porto, Portugal: ScitePress. www.scitepress.org/ ProceedingsDetails.aspx?ID=IKmvnOTP0ag=
Shen,Z., Meulendijk,M., & Spruit,M. (2016). A federated information architecture for multinational clinical trials: STRIPA revisited. 24th European Conference on Information Systems (ECIS). Prototypes. 2. Istanbul, Turkey. aisel.aisnet.org/ecis2016_prototypes/2
Homberg,M. van den, Monné,R., & Spruit,M. (2016). Bridging the Information Gap: Mapping Data Sets on Information Needs in the Preparedness and Response Phase. In: Hostettler, S., Besson, S., Bolay, J. (eds), Technologies for Development, UNESCO 2016. 10.1007/978-3-319-91068-0_18
Meulendijk,M., Spruit,M., Numans,M., Brinkkemper,S., & Jansen,P. (2015). STRIPA: a rule-based decision support system for medication reviews in primary care. 23rd European Conference on Information Systems (pp. Paper 29). ECIS 2015, 26-29 May, 2015, Münster, Germany. aisel.aisnet.org/ecis2015_rip/29
Buijs,M., & Spruit,M. (2015). Determining the Relative Importance of Webpages Based on Social Signals Using the Social Score and the Potential Role of the Social Score in an Asynchronous Social Search Engine. In Fred,A., Dietz,J., Aveiro,D., Liu,K., & Filipe,J. (Eds.), Knowledge Discovery, Knowledge Engineering and Knowledge Management - 6th International Joint Conference, IC3K 2014, Rome, Italy, October 21-24, 2014, Revised Selected Papers (pp. 118-131). ScitePress. 10.1007/978-3-319-25840-9_8
Spruit,M., & Cepoi,A. (2015). CIRA: A competitive intelligence reference architecture for dynamic solutions. Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 249-258). KDIR 2015, November 12-14, Lisbon, Portugal: ScitePress. 10.5220/0005597602490258
Lefebvre,A., Spruit,M., & Omta,W (2015). Towards reusability of computational experiments: Capturing and sharing Research Objects from knowledge discovery processes. Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 456-462). KDIR 2015, November 12-14, Lisbon, Portugal: ScitePress. 10.5220/0005631604560462
Spruit,M., Visee,Y., & Jong,E. de (2015). DIA: het Docent-ICT Adoptie raamwerk - Verbinden van onderwijsvormen en onderwijstechnieken via onderwijstaken. Onderwijs Research Dagen 2015, Leiden. www.vorsite.nl/nl/content/ eerdere-onderwijs-research-dagen
Haasbroek,J., & Spruit,M. (2015). De ideale docent anno 2015: Docentgedrag en studenttevredenheid binnen het universitaire bachelor onderwijs. Onderwijs Research Dagen 2015, Leiden. www.vorsite.nl/nl/content/ eerdere-onderwijs-research-dagen
Buijs,M., & Spruit,M. (2014). The Social Score: determining the relative importance of webpages based on online social signals. Proceedings of the 6th International Conference on Knowledge Discovery and Information Retrieval (pp. 71-77). KDIR 2014, 21-24 October, Rome,Italy: SciTePress. 10.5220/0005076400710077
Meulendijk,M., Meulendijks,E., Jansen,P., Numans,M., & Spruit,M. (2014). What concerns users of medical apps? Exploring non-functional requirements of medical mobile applications. 22nd European Conference on Information Systems. Tel Aviv, Israel. aisel.aisnet.org/ecis2014/proceedings/track09/4
Spruit,M., & Roeling,M. (2014). ISFAM: the Information Security Focus Area Maturity model. 22nd European Conference on Information Systems. Tel Aviv, Israel. aisel.aisnet.org/ecis2014/proceedings/track14/6
Dijk,J. van, Choenni,S., Leertouwer,E., Spruit,M., & Brinkkemper,S. (2013). A Data Space System for the Criminal Justice Chain. Lecture Notes in Computer Science 8185, Proceedings of On the Move to Meaningful Internet Systems: OTM 2013 Conferences (pp. 755-763). ODBASE 2013, 10-11 September 2013, Graz, Austria, Springer. 10.1007/978-3-642-41030-7_55
Peersman,H., Batenburg,R., & Spruit,M. (2013). Preventing credit card data breaches. A framework of critical indicators. In Shahim,Abbas (Ed.), IFIP TC11 Conference on IT Assurance and Audit. VU University Amsterdam. www.ifiptc11.org
Spruit,M. (2013). Selecting data quality dimensions: towards a business impacts assessment. 6th World Summit on the Knowledge Society, WSKS 2013, June 19-21, Aveiro, Portugal. dblp.org/db/conf/wsks
Spruit,M., & Vroon,R. (2013). Information needs in the Dutch long-term care sector. 6th World Summit on the Knowledge Society, WSKS 2013, June 19-21, Aveiro, Portugal. dblp.org/db/conf/wsks
Polman,T., & Spruit,M. (2013). Integrating knowledge engineering and data mining in e-commerce fraud prediction. In Ruan,D., Tennyson,R., Ordonez De Pablos,P., García Peñalvo,F., & Rusu,L. (Eds.), Communications in Computer and Information Science 278, Information Systems, E-learning and Knowledge Management Research for the Knowledge Society: The era of Social Networks, Web 2.0 and Open Source Paradigms (pp. 460-466). Mykonos, 21-23 September 2011: Springer. 10.1007/978-3-642-35879-1_56
Helms,R., Booij,E., & Spruit,M. (2012). Reaching out: Involving users in innovation tasks through social media. 20th European Conference on Information Systems (pp. Paper 193). ECIS 2012, June 10-13, 2012, Barcelona. aisel.aisnet.org/ecis2012/193/
Krens,R., Spruit,M., & Urbanus,N. (2012). Evaluating information security effectiveness with Health Professionals. In Fred,A., Filipe,J., & Gamboa,H. (Eds.),Communications in Computer and Information Science 274, International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2011) (pp. 324-334). Springer. 10.1007/978-3-642-29752-6_24
Pachidi,S., & Spruit,M. (2012). Mining Performance Knowledge in User Logs. Proceedings of the 5th World Summit on the Knowledge Society (pp. Paper 47). WSKS 2012, June 20-22, 2012, Rome, Italy. dblp.org/db/conf/wsks
Krens,R., Spruit,M., & Urbanus,N. (2011). Information security in Health care: Evaluation with Health Professionals. Proceedings of the 4th International Conference on Health Informatics (pp. 61-69). HEALTHINF 2011, 26-29 January, 2011, Rome, Italy. 10.5220/0003157700610069
Otten,S., & Spruit,M. (2011). Linguistic engineering and its applicability to business intelligence: towards an integrated framework. International Conference on Knowledge Discovery and Information Retrieval (pp. 460-464). Paris, France: SciTePress. 10.5220/0003661704520456
Bebensee,T., Helms,R., & Spruit,M. (2010). Exploring Web 2.0 Applications as a Mean of Bolstering Up Knowledge Management in Non-Profit Organizations. 11th European Conference on Knowledge Management (pp. 65-73). ECKM, 2-3 September 2010, Universidade Lusíada de Vila Nova de Famalicão, Famalicão, Portugal. academic-publishing.org/ index.php/ejkm/article/view/915
Bekkers,W., & Spruit,M. (2010). The Situational Assessment Method Put to the Test: Improvements Based on Case Studies. 4th International Workshop on Software Product Management (pp. 7-16). IWSPM, September 27, 2010, Sydney, Australia. 10.1109/IWSPM.2010.5623871
Bekkers,W., Spruit,M., Weerd,I. van de, Vliet,R. van, & Mahieu,A. (2010). A Situational Assessment Method For Software Product Management. 18th European Conference on Information Systems. Pretoria, South Africa. http://aisel.aisnet.org/ecis2010/22/
Bekkers,W., Weerd,I. van de, Spruit,M., & Brinkkemper,S. (2010). A Framework for Process Improvement in Software Product Management. Systems. In Riel,A., O'Connor,R., Tichkiewitch,S., & Messnarz,R. (Eds.), Communications in Computer and Information Science 99, Software and Services Process Improvement - Proceedings of the 17th European Conference (pp. 1-12). EuroSPI 2010, September 1-3, 2010, Grenoble, France: Springer. 10.1007/978-3-642-15666-3_1
Kormaris,G., & Spruit,M. (2010). Bridging the Gap between Web 2.0 Technologies and Social Computing Principles. Communications in Computer and Information Science 87, Networked Digital Technologies - Second International Conference (pp. 430-443). NDT 2010, July 7-9, 2010, Prague, Czech Republic. 10.1007/978-3-642-14292-5_44
Sacu,C., & Spruit,M. (2010). BIDM: The Business Intelligence development model. 12th International Conference on Enterprise Information Systems (pp. 288-293). ICEIS, 8- 12 June, 2010, Funchal, Madeira, Portugal. 10.5220/0002967402880293
Weeghel,R. van, & Spruit,M. (2010). Using IT to Optimize Corporate Strategy for Dutch Notaries. In Bradley,G. (Ed.), Proceedings of the IADIS International Conference: ICT, Society and Human Beings 2010 (pp. 3-10). 29-31 July 2010, Freiburg, Germany. www.mirlabs.org/ijcisim/ regular_papers_2012/Paper34.pdf
Tijssen,R., Spruit,M., Ridder,M. van de, & Raaij,B. van (2009). BI-FIT : The fit between Business Intelligence end-users, tasks and technologies. Conference on ENTERprise Information Systems (pp. 523-535). CENTERIS 2009, 7-9 October 2009, Ofir, Portugal. 10.4018/978-1-61692-020-3.ch011
Bruijn,W. de, Spruit,M., & Heuvel,M. van der (2008). Identifying the Cost of Security. Proceedings of the AIS SIGSEC Workshop on Information Security & Privacy. Paris, France. 10.4018/jisp.2012100105
Knol,P., Spruit,M., & Scheper,W. (2008). Web 2.0 Revealed - Business Model Innovation through Social Computing. Proceedings of the Seventh AIS SIGeBIZ Workshop on e-business. Paris, France. 10.4018/978-1-61520-623-0.ch009
Levantakis,T., Helms,R., & Spruit,M. (2008). Developing a Reference Method for Knowledge Auditing. In Yamagchi,T. (Ed.), Lecture Notes in Artificial Intelligence 5345, Proceedings of the 7th Conference of Practical Aspects on Knowledge Management (pp. 147-159), Appendices available. PAKM 2008, November 21-23, 2008, Yokohama, Japan: Springer. 10.1007/978-3-540-89447-6_15
Wijaya,S., Spruit,M., & Scheper,W. (2008). Webstrategy Formulation: benefiting from web 2.0 concepts to deliver business values. In Lytras, M., Carroll, J., Damiani,E., & Tennyson,R. (Eds.), Lecture Notes in Computer Science 5288, Emerging Technologies and Information Systems for the Knowledge Society (pp. 373-384). WSKS 2008, September 24-26, 2008, Athens, Greece: Springer.
Spruit,M. (2007). Discovery of association rules between syntactic variables: Data mining the Syntactic atlas of the Dutch dialects. In Dirix,P., Schuurman,I., Vandeghinste,V., & Eynde,F. van (Eds.), Computational Linguistics in the Netherlands 2006: Selected papers from the seventeenth CLIN meeting (pp. 83-98). Utrecht: LOT Occasional Series. www.clinjournal.org/ CLIN_proceedings/XVII/spruit.pdf
Spruit,M. (2005). Classifying Dutch dialects using a syntactic measure: The perceptual Daan and Blok dialect map revisited. In dir (Ed.), Linguistics in the Netherlands 2005 (pp. 179-190). Amsterdam: John Benjamins. dare.uva.nl/document/37601
Spruit,M. (2022). Translational Data Science in Population Health. Inaugural lecture on the acceptance of the position of professor of Advanced Data Science in Population Health on 1 April 2022, Leiden: Leiden University. 10.5281/zenodo.7665857
Spruit,M. (2008). Quantitative perspectives on syntactic variation in Dutch dialects. LOT Dissertation Series 174, Doctoral disseration, University of Amsterdam, The Netherlands, Utrecht: LOT. hdl.handle.net/11245/1.299758
Spruit,M., & Ferati,D. (2024). Text Mining Business Policy Documents: Applied Data Science in Finance. Research Anthology on Business Law, Policy, and Social Responsibility, (pp. 1525-1545). 10.4018/979-8-3693-2045-7.ch077
Mosteiro,P., Kuiper,J., Masthoff,J., Scheepers,F., & Spruit,M. (2024). Bias Discovery in Machine Learning Models for Mental Health. In Reprint: Advances in Explainable Artificial Intelligence. 10.3390/books978-3-7258-0284-5
Spruit,M., & Rijnst, Sander van der (2020). Clinical decision support for infection control in surgical care. In Lytras,M., Visvizi,A., & Sarirete,A. (Eds.), Innovation in Health Informatics: a Smart Healthcare Primer (pp. 101-121). Elsevier. 10.1016/B978-0-12-819043-2.00004-6
Spruit,M. & Joosten,P. (2020). Managing student engagement in higher education: The case of CURPA. In Visvizi,A., Lytras,M., & Sarirete,A. (Eds.), Management and Administration of Higher Education Institutions in Times of change (pp. 167-187). Emerald. 10.1108/978-1-78973-627-420191010
Spruit,M., & Adriana,T. (2020). Business Intelligence in Secondary Education: Data-Driven Innovation by Quality Measurement. In I. Management Association (Ed.), Research Anthology on Preparing School Administrators to Lead Quality Education Programs (pp. 565-597). IGI Global. 10.4018/978-1-7998-3438-0.ch026
Yigit Ozkan,B., & Spruit,M. (2020). Cybersecurity standardisation for SMEs: The stakeholders' perspectives and a research agenda. Research Anthology on Artificial Intelligence Applications in Security (pp. 1252-1278). IGI Global. 10.4018/978-1-7998-7705-9.ch056
Spruit,M., & Lammertink,M. (2018). Effective and efficient business intelligence dashboard design: Gestalt theory in Dutch long-term and chronic healthcare. In Lytras,M., & Papadopoulou,P. (Eds.), Applying Big Data Analytics in Bioinformatics and Medicine (pp. 243-271). Hershey,PA: IGI Global. 10.4018/978-1-5225-2607-0.ch010
Spruit,M., & Adriana,T. (2018). Business Intelligence in Secondary Education: Data-driven Innovation by Quality Measurement. In Lytras,M., Daniela,L., & Visvizi,A. (Eds.), Enhancing Knowledge Discovery and Innovation in the Digital Era (pp. 56-90). IGI Global. 10.4018/978-1-5225-4191-2.ch004
Homberg,M. van den, Monné,R., & Spruit,M. (2018). Bridging the Information Gap: Mapping Data Sets on Information Needs in the Preparedness and Response Phase. In Hostettler,S., Najih Besson,S., & Bolay J (Eds.), Technologies for Development (pp. 213-225). Springer. 10.1007/978-3-319-91068-0_18
Pachidi,S., & Spruit,M. (2016). The Performance Mining method: Extracting performance knowledge from software operation data. In Information Science Reference (Ed.), Big Data: Concepts, Methodologies, Tools, and Applications (pp. 181-199). Hershey, PA: IGI Global. 10.4018/978-1-4666-9840-6.ch009
Aarnoutse,F., Renes,C., Batenburg,R., & Spruit,M. (2016). STRIPA: The potential usefulness of a medical app. In Gasmelseid,T. (Ed.), Advancing Pharmaceutical Processes and Tools for Improved Health Outcomes (pp. 114-135). IGI Global. 10.4018/978-1-5225-0248-7.ch005
Houten,R. van den, & Spruit,M. (2015). Proactive Business Intelligence: Discovering Key Performance Indicators with the Rule Extraction Matrix Method. Business Intelligence: Technologies, Applications and Challenges (pp. 42029). Nova Publishers. novapublishers.com/shop/ business-intelligence-strategies-and-ethics/
Baars,T., & Spruit,M. (2013). The SeCA model: Ins & Outs of a Secure Cloud Architecture. In Rosado,D., Mellado,D., Fernandez-Medina,E., & Piattini,M. (Eds.), Security Engineering for Cloud Computing: Approaches and Tools (pp. 19-35). IGI Global. 10.4018/978-1-4666-2125-1.ch002
Meulendijk,M., Drenth-van-Maanen,A., Jansen,P., Brinkkemper,S., Numans,M., & Spruit,M. (2013). Introducing the CORETEST feasibility analysis in medical informatics: a case study of a decision-supportive knowledge system in the Dutch primary care sector. In Miranda,I., Cruz-Cunha,M., & Gonçalves,P. (Eds.), Handbook of Research on ICTs for Healthcare and Social Services: Developments and Applications (pp. 1066-1087). IGI Global. 10.4018/978-1-4666-3990-4.ch056
Bebensee,T., Helms,R., & Spruit,M. (2012). Exploring Web 2.0 Applications as a Mean of Bolstering up Knowledge Management. In Gurteen,David (Ed.), Leading Issues in Social Knowledge Management (pp. 22-41). Academic Publishing International. books.google.nl/books?id=SmURBAAAQBAJ&pg=PA22
Bebensee,T., Helms,R., & Spruit,M. (2012). Exploring the Impact of Web 2.0 on Knowledge Management. In Boughzala,I., & Dudezert,A. (Eds.), Knowledge Management 2.0: Organizational Models and Enterprise Strategies (pp. 17-43). IGI Global. 10.4018/978-1-61350-195-5.ch002
Haag,P., & Spruit,M. (2012). Selecting and implementing Identity and Access Management technologies: the AIM Services Assessment Model. In Sharman,R., Gupta,M., & Das-Smith,S. (Eds.), Digital Identity and Access Management: Technologies and Frameworks (pp. 348-365). IGI Global. 10.4018/978-1-61350-498-7.ch018
Smeitink,M., & Spruit,M. (2012). IT sustainability measures: the Strategic Green Ontology. In Ordoñez de Pablos,P. (Ed.), Green Technologies and Business Practices: An IT Approach (pp. 36-57). IGI Global. 10.4018/978-1-4666-1972-2.ch003
Vleugel,A., Spruit,M., & Daal,A. van (2012). Historical data analysis through data mining from an outsourcing perspective: the three-phases method. In Herschel,R. (Ed.), Organizational Applications of Business Intelligence Management: Emerging Trends (pp. 236-260). IGI Global. 10.4018/978-1-4666-0279-3.ch017
Abdat,N., Spruit,M., & Bos,M. (2011). Software as a Service and the Pricing Strategy for Vendors. In Strader,T. (Ed.), Digital Product Management, Technology and Practice: Interdisciplinary Perspectives, Advances in E-Business Research (AEBR) Book Series (pp. 154-192). IGI Global. 10.4018/978-1-61692-877-3.ch010
Nieuwerth,J., Spruit,M., & Zijlstra,D. (2011). An assessment tool for establishing Infrastructure as a Service capability maturity. In Demirkan,H., Spohrer,J., & Krishna,V. (Eds.), Service Systems Implementation volume of Service Science: Research and Innovations (SSRI) in the Service Economy (pp. 133-144). IGI Global. 10.1007/978-1-4419-7904-9_8
Tijssen,R., Spruit,M., Ridder,M. van de, & Raaij,B. van (2011). BI-FIT: Aligning Business Intelligence end-users, tasks and technologies. In Cruz-Cunha,M., & Varajão,J. (Eds.), Enterprise Information Systems Design, Implementation and Management: Organizational Applications (pp. 162-177). 10.4018/978-1-61692-020-3.ch011
Knol,P., Spruit,M., & Scheper,W. (2010). The Emerging Value of Social Computing in Business Model Innovation. In Lytras,M., Ordoñez de Pablos,P., Lee,W., & Karwowski,W. (Eds.), Electronic Globalized Business And Sustainable Development Through IT Management: Strategies And Perspectives (pp. 112-134). IGI Global. 10.4018/978-1-61520-623-0.ch009
Brinkkemper,S., Batenburg,R., Versendaal,J., Wijngaert,L. van de, Helms,R., Bos,R., Jansen,S., Spruit,M., Ravesteijn,P., Huizer,E., Weerd,I. van de, Baaren,E., Plomp,M., & Schuur,H. van der (2009). On the Challenge of Creating an Attractive Research Master Program: Graduate Education Avant-la-Lettre. In Bodlaender,H., Duivesteijn,W., & Nijenhuis,C. (Eds.), Fascination for Computation: 25 jaar informatica (pp. 217-240). www.academia.edu/download/ 33578941/bbvlhbjsrhwbps2009jubi.pdf
Wijaya,S., Spruit,M., & Scheper, W. (2008). Webstrategy Formulation: benefiting from web 2.0 concepts to deliver business values. In Lytras,M., Damiani,E., & Ordóñez de Pablos,P. (Eds.), Web 2.0: The Business Model (pp. 103-132). Springer. 10.1007/978-3-540-87781-3_41
Spruit,M. (1995). FILTER prototype. In Scholtes,J. (Ed.), Artificial neural networks for information retrieval in a libraries context (pp. 213-251). op.europa.eu/s/zGax
Joosten,L., & Spruit,M. (2021). Sentiment analysis of Dutch tweets: a comparison of automatic and manual sentiment analysis. Annotated dataset for sentiment analysis of Dutch Twitter messages. 10.5281/zenodo.4555589
Renes,C., & Spruit,M. (2019). What do you mean? The CIRCA-DIPS method for root cause analysis of data interoperability problems within aviation information systems. Technical report UU-CS-2019-011, Department of Information and Computing Sciences, Utrecht University. 2019 - Renes Spruit.pdf
Haan,E. de, Spruit,M., & Zoet,M. (2019). Fundamental Constructs for Derivation Business Rules. Technical report UU-CS-2019-010, Department of Information and Computing Sciences, Utrecht University. 2019 - Haan Spruit Zoet.pdf
Janssen,J., & Spruit,M. (2019). M-RAM: a Mobile Risk Assessment Method for Enterprise Mobile Security. Technical report UU-CS-2019-009, Department of Information and Computing Sciences, Utrecht University. 2019 - Janssen Spruit.pdf
Spruit,M., Lingen,S. van, & Yigit Ozkan,B. (2019). The CYSFAM Questionnaire: Assessing CYberSecurity Focus Area Maturity. Technical report UU-CS-2019-003, Department of Information and Computing Sciences, Utrecht University. 2019 - Spruit Lingen Ozkan.pdf
Lefebvre,A., Berendsen,J., & Spruit,M. (2019). Evaluation of classification models for retrieving experimental sections from full-text publications. Technical report UU-CS-2019-002, Department of Information and Computing Sciences, Utrecht University.2019 - Levebfre Berendsen Spruit.pdf
Spruit,M., & Linden,V. van der (2019). BIDQI: The Business Impacts of Data Quality Interdependencies Model. Technical report UU-CS-2019-001, Department of Information and Computing Sciences, Utrecht University. 2019 - Spruit Linden.pdf
Meulendijk,M., Spruit,M., & Brinkkemper,S. (2017). Risk Mediation in Association Rules: Application Examples. Technical report UU-CS-2017-004, Department of Information and Computing Sciences, Utrecht University. 2017b - Meulendijk Spruit Brinkkemper.pdf
Shen, Z., Meulendijk,M., Knol,W., Huibers,L., Wilting,I., Jansen,P., & Spruit,M. (2016). STRIPA Investigational Medical Device Dossier (IMDD). version 2.03, Department of Information and Computing Sciences, Utrecht University. 2016 - Shen et al - IMDD.pdf
Spruit,M., & Pietzka,K. (2014). The MD3M Questionnaire: Assessing Master Data Management Maturity. Technical report UU-CS-2014-022, Department of Information and Computing Sciences, Utrecht University. 2014 - Spruit Pietzka.pdf
Boer,T. de, & Spruit,M. (2014). The business intelligence as a service capability maturity model. Technical report UU-CS-2014-023, Department of Information and Computing Sciences, Utrecht University. 2014 - Boer Spruit.pdf
Reijmer,T., & Spruit,M. (2014). Cybersecurity in the news: A grounded theory approach to better understand its emerging prominence. Technical report UU-CS-2014-006, Department of Information and Computing Sciences, Utrecht University. 2014 - Reijmer Spruit.pdf
Fotaki,G., Spruit,M., Brinkkemper,S., & Meijer,D. (2013). Exploring Big data opportunities for Online Customer Segmentation. Technical report UU-CS-2013-021, Department of Information and Computing Sciences, Utrecht University. 10.4018/ijbir.2014070105
Spruit,M., & Wester,W. (2013). RFID Security and Privacy: Threats and Countermeasures. Technical report UU-CS-2013-001, Department of Information and Computing Sciences, Utrecht University. 2013 - Wester Spruit.pdf
Stroe,A., Koelemeijer,S, & Spruit,M. (2013). Een PMO is meer dan een administratiekantoor. Controllers Magazine. Management Accounting & Control. 2013 - Stroe Koelemeijer Spruit.pdf
Sacu,C., & Spruit,M. (2010). BIDM: The Business Intelligence development model. Technical report UU-CS-2010-010, Department of Information and Computing Sciences, Utrecht University. 2010b - Sacu Spruit.pdf
Sacu,C., Spruit,M., & Habers,F. (2010). Data Warehouse Maturity Assessment Questionnaire. Technical report UU-CS-2010-021, Department of Information and Computing Sciences, Utrecht University. 2010 - Sacu Spruit Habers.pdf
Bekkers,W., Spruit,M., Weerd,I. van de, Vliet,R. van, & Mahieu,A. (2010). Modelmatig verbeteren van product software management. Informatie, 8(12), 8-14. 2010 - Bekkers Spruit Weerd Vliet Mahieu.pdf
Spruit,M. (2006). Tellen met Taal. Het meten van variatie in zinsbouw in Nederlandse dialecten. Respons: Mededelingen van het Meertens Instituut, 8, 12-16. 2006b - Spruit.pdf