Projects per year
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Dive into the research topics where Bogdan Burlacu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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HEAL - Virtual Sensor Design by Genetic Programming
Affenzeller, M. (PI), Leitner, S. J. (CoI) & Burlacu, B. (CoI)
01.02.2006 → 31.01.2030
Project: Research Project
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Josef Ressel Zentrum für Symbolische Regression
Kronberger, G. (PI), Beneder, M. (CoI), Haider, C. A. (CoI), Kammerer, L. (CoI), Bachinger, F. (CoI) & Burlacu, B. (CoI)
01.01.2018 → 31.12.2022
Project: Research Project
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Fakultätsübergreifendes Institut für intelligente Produktion - Hgbg
Affenzeller, M. (PI), Traugott, G. (CoI), Holzinger, F. C. (CoI), Fleck, P. (CoI), Burlacu, B. (CoI) & Beham, A. (CoI)
01.07.2014 → 30.06.2019
Project: Research Project
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K-Projekt HOPL
Affenzeller, M. (PI), Wagner, S. (CoPI), Leitner, S. J. (CoI), Petschnik, E. (CoI), Krauss, O. (CoI), Karder, J. A. (CoI), Burlacu, B. (CoI) & Beham, A. (CoPI)
COMET Competence Centers for Excellent Technologies
01.05.2014 → 30.04.2018
Project: Research Project
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PhD Programm - PhD Programme
Dreiseitl, S. (PI) & Burlacu, B. (CoI)
01.09.2011 → 30.09.2020
Project: Research Project
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How to Measure Explainability and Interpretability of Machine Learning Results
Mayrhuber, E. M., Winkler, S. & Burlacu, B., 28 Feb 2025, Genetic Programming Theory and Practice XXI. Springer, p. 357-374 (Genetic and Evolutionary Computation).Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review
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Revisiting Gradient-Based Local Search in Symbolic Regression
Burlacu, B., Winkler, S. & Affenzeller, M., 25 Feb 2025, Genetic Programming Theory and Practice . Winkler, S., Banzhaf, W., Hu, T. & Lalejini, A. (eds.). Springer Nature, Vol. XXI. p. 259–273 15 p.Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review
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SRBench++: Principled Benchmarking of Symbolic Regression With Domain-Expert Interpretation
de Franca, F. O., Virgolin, M., Kommenda, M., Majumder, M. S., Cranmer, M., Espada, G., Ingelse, L., Fonseca, A., Landajuela, M., Petersen, B., Glatt, R., Mundhenk, N., Lee, C. S., Hochhalter, J. D., Randall, D. L., Kamienny, P., Zhang, H., Dick, G., Simon, A. & Burlacu, B. & 4 others, , 2025, In: IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION. 29, 4, p. 1127-1137 11 p., 4.Research output: Contribution to journal › Article › peer-review
Open Access7 Citations (Scopus) -
Using FPGA devices to accelerate the evaluation phase of tree-based genetic programming: an extended analysis
Crary, C., Piard, W., Stitt, G., Hicks, B., Bean, C., Burlacu, B. & Banzhaf, W., Jun 2025, In: Genetic Programming and Evolvable Machines. 26, 1, 8.Research output: Contribution to journal › Article › peer-review
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A precise symbolic emulator of the linear matter power spectrum
Bartlett, D. J., Kammerer, L., Kronberger, G., Desmond, H., Ferreira, P. G., Wandelt, B. D., Burlacu, B., Alonso, D. & Zennaro, M., 1 Jun 2024, In: Astronomy and Astrophysics. 686, A209.Research output: Contribution to journal › Article › peer-review
Open Access9 Citations (Scopus)