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  • 2020
  • 2019
  • 2018
  • 2017
  • 2016

Author

  • Djoerd Hiemstra
2020

Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records

Jan, T., Trienschnigg, D., Seifert, C. & Hiemstra, D., 2020.

Research output: Contribution to conferencePaper

Open Access
File
34 Downloads (Pure)
2019

FFORT: A benchmark suite for fault tree analysis

Ruijters, E. J. J., Budde, C. E., Chenariyan Nakhaee, M., Stoelinga, M. I. A., Bucur, D., Hiemstra, D. & Schivo, S., 2019, ESREL 2019: Proceedings of the 29th European Safety and Reliability Conference. Beer, M. & Zio, E. (eds.). Research Publishing, p. 22-26

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
48 Downloads (Pure)

Predicting semantic labels of text regions in heterogeneous document images

Enendu, S., Scholtes, J., Smeets, J., Hiemstra, D. & Theune, M., 2019, p. 203-11. 9 p.

Research output: Contribution to conferencePaper

Open Access
File
11 Downloads (Pure)

The influence of network structure and prosocial cultural norms on charitable giving: A multilevel analysis of Movember's fundraising campaigns in 24 countries

van den Broek, T. A., Need, A., Ehrenhard, M. L., Priante, A. & Hiemstra, D., 1 Jul 2019, In : Social networks. 58, p. 128-135 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

1 Downloads (Pure)

The Recent Applications of Machine Learning in Rail Track Maintenance: A Survey

Nakhaee, M. C., Hiemstra, D., Stoelinga, M. & Noort, M. V., 2019, Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification: Third International Conference, RSSRail 2019, Lille, France, June 4-6, 2019, Proceedings. Collart-Dutilleul, S., Lecomte, T. & Romanovsky, A. B. (eds.). Cham: Springer, p. 91-105 15 p. (Lecture Notes in Computer Science; vol. 11495).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)
2018

Supporting the Exploration of Online Cultural Heritage Collections: The Case of the Dutch Folktale Database

Muiser, I., Theune, M., Jong, de, R., Smink, N., Trieschnigg, R. B., Hiemstra, D. & Meder, T., 17 Jan 2018, In : Digital humanities quarterly. 11, 4

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
33 Downloads (Pure)

The role of Online Identity on Donations to Nonprofit Organizations in Online Health Campaigns

Priante, A., Need, A., van den Broek, T. A. & Hiemstra, D., 2018, In : Academy of Management Proceedings. 2018, 1

Research output: Contribution to journalConference articleAcademicpeer-review

Open Access

Tweeting about my moustache: How Online Identity influences Collected Donations in Online Health Campaigns

Priante, A., Ehrenhard, M. L., van den Broek, T., Need, A. & Hiemstra, D., 2018.

Research output: Contribution to conferencePaper

2017

MTCB: A Multi-Tenant Customizable database Benchmark

van der Zijden, W., Hiemstra, D. & van Keulen, M., Oct 2017, ICME 2017: Proceedings of the 9th International Conference on Information Management and Engineering . Association for Computing Machinery (ACM), p. 17-23

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

N-Gram models

Hiemstra, D., 2017, Encyclopedia of Database Systems. Liu, L. & Tamer Özsu, M. (eds.). New York: Springer, 1 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

File
138 Downloads (Pure)

Overview of Special Issue

Hiemstra, D., Harman, D. (ed.), Allan, J., Kelly, D. (ed.), Belkin, N. J., Bennet, P., Callan, J., Clarke, C., Diaz, F., Dumais, S., Ferro, N., Harman, D., Ruthven, I., Sakai, T., Smucker, M. D. & Zobel, J., 11 Jul 2017, In : SIGIR forum. 51, 2, p. 1-25

Research output: Contribution to journalArticleAcademicpeer-review

2016

#WhoAmI in 160 characters? Classifying social identities based on Twitter profile descriptions

Priante, A., Hiemstra, D., van den Broek, T. A., Saeed, A., Ehrenhard, M. L. & Need, A., Nov 2016, Workshop on Natural Language Processing and Computational Social Science: NLP+CSS, EMNLP. Austin, Texas: Association for Computational Linguistics (ACL), p. 55-65 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

File
131 Downloads (Pure)

Beyond Movie Recommendations: Solving the Continuous Cold Start Problem in E-commerce Recommendations

Kiseleva, J., Tuzhilin, A., Kamps, J., Bernardi, L., Davis, C., Kovacek, I., Einarsen, M. S. & Hiemstra, D., Jul 2016, Ithaca, NY, USA: Cornell University. 11 p.

Research output: Book/ReportReportAcademic

File
84 Downloads (Pure)

Big Data Masterclass and DataCamp 2015

Daas, P., Braaksma, B., Aly, R., Engelhardt, Y., Hiemstra, D. & Zurita-Milla, R., 2016, Den Haag: Centraal Bureau voor de Statistiek. 36 p.

Research output: Book/ReportReportOther research output

Open Access
29 Downloads (Pure)

Efficient Web Harvesting Strategies for Monitoring Deep Web Content

Khelghati, M., Hiemstra, D. & van Keulen, M., 15 May 2016, Enschede: Centre for Telematics and Information Technology (CTIT). 9 p. (CTIT Technical Report Series; no. TR-CTIT-16-05)

Research output: Book/ReportReportAcademic

File
60 Downloads (Pure)

Efficient Web Harvesting Strategies for Monitoring Deep Web Content

Khelghati, M., Hiemstra, D. & van Keulen, M., Nov 2016, Proceedings of the 18th International Conference on Information Integration and Web-based Applications & Services (iiWAS 2016). New York: Association for Computing Machinery (ACM), p. 389-393 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
61 Downloads (Pure)

Evaluation and analysis of term scoring methods for term extraction

Verberne, S., Sappelli, M., Hiemstra, D. & Kraaij, W., Oct 2016, In : Information retrieval. 19, 5, p. 510-545 36 p.

Research output: Contribution to journalArticleAcademicpeer-review

File
15 Citations (Scopus)
25 Downloads (Pure)

Inoculating Relevance Feedback Against Poison Pills

Dehghani, M., Azarbonyad, H., Kamps, J., Hiemstra, D. & Marx, M., Nov 2016. 1 p.

Research output: Contribution to conferencePaper

File
20 Downloads (Pure)

Luhn Revisited: Significant Words Language Models

Dehghani, M., Azarbonyad, H., Kamps, J., Hiemstra, D. & Marx, M., Oct 2016, Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (CIKM 2016). New York: Association for Computing Machinery (ACM), p. 1301-1310 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

File
18 Citations (Scopus)
79 Downloads (Pure)

Predicting relevance based on assessor disagreement: analysis and practical applications for search evaluation

Demeester, T., Aly, R., Hiemstra, D., Nguyen, D-P. & Develder, C., Jun 2016, In : Information retrieval. 19, 3, p. 284-312 29 p.

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)

Resource Selection for Federated Search on the Web

Nguyen, D-P., Demeester, T., Trieschnigg, R. B. & Hiemstra, D., Sep 2016, Enschede, The Netherlands: Centre for Telematics and Information Technology (CTIT). 17 p. (CTIT Technical Report Series; no. TR-CTIT-16-12)

Research output: Book/ReportReportProfessional

File
19 Downloads (Pure)