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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 41 Similar Profiles
Evolutionary algorithms Engineering & Materials Science
Sensors Engineering & Materials Science
Network protocols Engineering & Materials Science
Delay tolerant networks Engineering & Materials Science
Wireless sensor networks Engineering & Materials Science
Topology Engineering & Materials Science
Routing protocols Engineering & Materials Science
Sensor networks Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2006 2019

Causal Discovery with Attention-Based Convolutional Neural Networks

Nauta, M., Bucur, D. & Seifert, C., 7 Jan 2019, In : Machine Learning and Knowledge Extraction. 1, 1, p. 312-340 28 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Time series
Neural networks
Large scale systems
Decision making
Data mining

Gender homophily in online book networks

Bucur, D., 1 May 2019, In : Information sciences. 481, p. 229-243 15 p.

Research output: Contribution to journalArticleAcademicpeer-review

Sales
Statistics
Gender
Homophily
Skew
1 Citation (Scopus)

Improving Multi-objective Evolutionary Influence Maximization in Social Networks

Bucur, D., Iacca, G., Marcelli, A., Squillero, G. & Tonda, A., 1 Jan 2018, Applications of Evolutionary Computation: 21st International Conference, EvoApplications 2018, Proceedings. Sim, K. & Kaufmann, P. (eds.). Springer, p. 117-124 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10784 LNCS).

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

Open Access
File
Evolutionary algorithms
Social Networks
Seed
Evolutionary Algorithms
Heuristics

LIFT: Learning Fault Trees from Observational Data

Nauta, M., Bucur, D. & Stoelinga, M., 2018, Quantitative Evaluation of Systems: 15th International Conference, QEST 2018, Beijing, China, September 4-7, 2018, Proceedings. McIver, A. & Horvath, A. (eds.). Springer, (Lecture Notes in Computer Science; vol. 11024).

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

Open Access
Statistical tests
Failure modes
Learning systems
Availability
Industry
1 Citation (Scopus)

On the Gender of Books: Author Gender Mixing in Book Communities

Bucur, D., 2018, Complex Networks and Their Applications VI: Proceedings of Complex Networks 2017 (The Sixth International Conference on Complex Networks and Their Applications). Cherifi, C., Cherifi, H., Karsai, M. & Musolesi, M. (eds.). Cham: Springer, p. 797-808 12 p. (Studies in Computational Intelligence; vol. 689).

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

Open Access
File
gender
community
genre
writer
book market

Prizes

Best paper award

Doina Bucur (Recipient), 2017

Prize