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Fingerprint Dive into the research topics where Sandjai Bhulai is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Ambulances Engineering & Materials Science
Servers Engineering & Materials Science
Resource allocation Engineering & Materials Science
Queue Mathematics
Optimal Allocation Mathematics
Call Centres Mathematics
Resource Allocation Mathematics
Value Function Mathematics

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Research Output 2000 2019

A Probabilistic Approach to Linguistic Variation and Change in Biblical Hebrew

van Peursen, W. T., Bhulai, S., Kingham, C. & van de Bijl, E., 2019.

Research output: Working paperAcademic

Open Access
linguistics
bible
field of study
syntax
grouping

Background and enrollment characteristics of students with autism in higher education

Bakker, T., Krabbendam, L., Bhulai, S. & Begeer, S., 1 Aug 2019, In : Research in autism spectrum disorders. 67, p. 1-12 12 p., 101424.

Research output: Contribution to JournalArticleAcademicpeer-review

Open Access
File
Autistic Disorder
Students
Education
Autism Spectrum Disorder
Information Systems

Data-Driven Pricing & Optimization

van de Geer, R., 2019, 174 p.

Research output: PhD ThesisPhD Thesis - Research VU, graduation VUAcademic

Open Access
File

Detecting fraudulent bookings of online travel agencies with unsupervised machine learning

Mensah, C., Klein, J., Bhulai, S., Hoogendoorn, M. & van der Mei, R., 1 Jan 2019, Advances and Trends in Artificial Intelligence. From Theory to Practice - 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Proceedings. Friedrich, G., Ali, M., Wotawa, F., Pill, I. & Koitz-Hristov, R. (eds.). Springer Verlag, p. 334-346 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11606 LNAI).

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

Unsupervised Learning
Learning systems
Anomaly Detection
Machine Learning
Transportation charges

Detecting Network Intrusion beyond 1999: Applying Machine Learning Techniques to a Partially Labeled Cybersecurity Dataset

Klein, J., Bhulai, S., Hoogendoorn, M., Van Der Mei, R. & Hinfelaar, R., 10 Jan 2019, Proceedings - 2018 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2018. IEEE, p. 784-787 4 p. 8609692

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

Open Access
File
Intrusion detection
Learning systems

Prizes

Best Paper Award

Androniki Sapountzi (Recipient), Sandjai Bhulai (Recipient), Chris van Klaveren (Recipient) & Ilja Cornelisz (Recipient), 2018

PrizeAcademic

File
Cameras

Network Institute Academy Assitant project: A Probabilistic Approach to Linguistic Variation and Change in Biblical Hebrew

Wido van Peursen (Recipient), Sandjai Bhulai (Recipient), Cody Kingham (Recipient) & Etienne van de Bijl (Recipient), 2017

PrizeAcademic