About Me
Research in network data science and AI, for diverse application areas related to networks (social, computer, information networks).
Teaching topics in data science.
Interest in the ethics of data science. Member of the Ethics Committee for Computer and Information Science.
Organisations
Publications
Recent
Cunegatti, E.
, Bucur, D., & Iacca, G. (2023).
Peeking inside Sparse Neural Networks using Multi-Partite Graph Representations. ArXiv.org.
https://doi.org/10.48550/arXiv.2305.16886
Dang, T. K. N.
, Bucur, D., Atil, B., Pitel, G., Ruis, F., Kadkhodaei, H.
, & Litvak, N. (2023).
Look back, look around: A systematic analysis of effective predictors for new outlinks in focused Web crawling.
Knowledge-based systems,
260, 1-16. Article 110126.
https://doi.org/10.1016/j.knosys.2022.110126
Leszkiewicz, A.
, Bucur, D., Grimme, C., Michalski, R., Clever, L., Pohl, J.
, Rook, J., Bossek, J., Preuss, M., Squillero, G., Quer, S., Calabrese, A., Iacca, G.
, Kizgin, D. H.
, & Trautmann, H. (2022).
Social Influence Analysis (SIA) in Online Social Networks. Paper presented at 4th Multidisciplinary International Symposium, MISDOOM 2022 , Boise, Idaho, United States.
Kazi, R., Amato, A.
, Wang, S.
, & Bucur, D. (2022).
Visualization Methods for Diachronic Semantic Shift. In
Proceedings of the Third Workshop on Scholarly Document Processing (pp. 89-94). (Proceedings - International Conference on Computational Linguistics, COLING). Association for Computational Linguistics (ACL).
https://aclanthology.org/2022.sdp-1.10
Kazi, R., Amato, A.
, Wang, S.
, & Bucur, D. (2022).
Visualisation Methods for Diachronic Semantic Shift. In
Proceedings of the Third Workshop on Scholarly Document Processing (pp. 89-94). Association for Computational Linguistics (ACL).
https://aclanthology.org/2022.sdp-1.10
Stapel, F., Weers, F.
, & Bucur, D. (2022).
Bias in Automated Image Colorization: Metrics and Error Types.
https://doi.org/10.48550/arXiv.2202.08143
Bucur, D. (2022).
The network signature of constellation line figures.
PLoS ONE,
17, Article e0272270.
https://doi.org/10.1371/journal.pone.0272270
Cunegatti, E., Iacca, G.
, & Bucur, D. (2022).
Large-scale multi-objective influence maximisation with network downscaling. In G. Rudolph, A. V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, & T. Tušar (Eds.),
Parallel Problem Solving from Nature – PPSN XVII: 17th International Conference, PPSN 2022, Dortmund, Germany, September 10–14, 2022, Proceedings, Part II (pp. 207-220). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13399 LNCS).
https://doi.org/10.1007/978-3-031-14721-0_15
Verkuil, B.
, Budde, C. E.
, & Bucur, D. (2022).
Automated Fault Tree Learning from Continuous-valued Sensor Data: A Case Study on Domestic Heaters.
International Journal of Prognostics and Health Management,
13(2), 1-12.
https://doi.org/10.36001/ijphm.2022.v13i2.3160
UT Research Information System
Courses Academic Year 2023/2024
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Courses Academic Year 2022/2023
Contact Details
Visiting Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
(building no. 11), room 4051
Hallenweg 19
7522NH Enschede
The Netherlands
Mailing Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
4051
P.O. Box 217
7500 AE Enschede
The Netherlands