| Reaction system models for the heat shock response S Azimi, B Iancu, I Petre Fundamenta Informaticae 131 (3-4), 299-312, 2014 | 68 | 2014 |
| ABOships - An Inshore and Offshore Maritime Vessel Detection Dataset with Precise Annotations B Iancu, V Soloviev, L Zelioli, J Lilius Remote Sensing 13 (5), 988, 2021 | 45 | 2021 |
| ODE analysis of biological systems DE Gratie, B Iancu, I Petre Formal Methods for Dynamical Systems: 13th International School on Formal …, 2013 | 30 | 2013 |
| Quantitative Refinement of Reaction Models. B Iancu, E Czeizler, E Czeizler, I Petre IJUC 8 (5-6), 529-550, 2012 | 25 | 2012 |
| Comparing CNN-Based Object Detectors on Two Novel Maritime Datasets V Soloviev, F Farahnakian, L Zelioli, B Iancu, J Lilius, J Heikkonen 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-6, 2020 | 21 | 2020 |
| Triple Helix Collaborative Innovation and Value Co-creation in an Industry 4.0 Context I Khan, O Kauppila, B Iancu, M Jurmu, M Jurvansuu, S Pirttikangas, ... International Journal of Innovation and Learning, 2022 | 12 | 2022 |
| Quantitative Model Refinement in Four Different Frameworks, with Applications to the Heat Shock Response. DE Gratie, B Iancu, S Azimi, I Petre From Action Systems to Distributed Systems, 201-214, 2016 | 12 | 2016 |
| On the implementation of quantitative model refinement B Iancu, DE Gratie, S Azimi, I Petre Algorithms for Computational Biology, 95-106, 2014 | 11 | 2014 |
| Quantitative Model Refinement as a Solution to the Combinatorial Size Explosion of Biomodels E Czeizler, E Czeizler, B Iancu, I Petre Electronic Notes in Theoretical Computer Science 284, 35-53, 2012 | 7 | 2012 |
| A Benchmark for Maritime Object Detection with Centernet on an Improved Dataset, ABOships-PLUS B Iancu, J Winsten, V Soloviev, J Lilius Journal of Marine Science and Engineering 11 (9), 1638, 2023 | 4 | 2023 |
| Refinement-based modeling of the ErbB signaling pathway B Iancu, U Sanwal, C Gratie, I Petre Computers in biology and medicine 106, 91-96, 2019 | 3 | 2019 |
| Practices for Data Sharing: An Empirical Survey AR Morariu, B Iancu, J Björkqvist The Eleventh International Conference on Data Analytics: DATA ANALYTICS 2022 …, 2022 | 2 | 2022 |
| Collaborative Innovation, Collaborative Capabilities and Value Co-creation in an Industry 4.0 Context: An Empirical Evidence I Khan, M Jurmu, M Jurvansuu, S Pirttikangas, J Lilius, B Iancu, ... arXiv preprint arXiv:2103.16279, 2021 | 2 | 2021 |
| An Excursion Through Quantitative Model Refinement S Azimi, E Czeizler, C Gratie, D Gratie, B Iancu, N Ibssa, I Petre, V Rogojin, ... Membrane Computing, 25-47, 2015 | 1 | 2015 |
| Quantitative refinement of reaction-based biomodels B Iancu Turku Centre for Computer Science (TUCS), 2015 | 1 | 2015 |
| Analysing MLOps and its Applicability in the Maritime Domain through a Systematic Mapping Study AR Morariu, T Ahmad, B Iancu, J Poikonen, J Björkqvist 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems …, 2024 | | 2024 |
| Navigating the future: AI and co-simulation for green shipping B Iancu, S Lafond, H Rexha Port Technology International, 42-45, 2024 | | 2024 |
| Digitalisation in RoPax Ports: The Typology of Available Solutions A Tsvetkova, Y Chen, I Wahlström, AR Morariu, B Iancu, M Hellström 36th Bled eConference Digital Economy and Society: The Balancing Act for …, 2023 | | 2023 |
| Data Sharing in RoPax Ports: Challenges and Opportunities B Iancu, AR Morariu, Y Chen, I Wahlstrom, A Tsvetkova, J Lilius 2023 33rd Conference of Open Innovations Association (FRUCT), 85-94, 2023 | | 2023 |
| Data-sharing in the maritime supply-chain, epiphany or myth? B Iancu, D Gritsenko Port Technology International, 23-24, 2022 | | 2022 |
Ion PetreProfessor of Mathematics, University of Turku, FinlandVerified email at utu.fi
