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| === 2025 === | === 2025 === |
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| | - Achterberg, T. & de Jong, A. (2025). ProPr54 web server: predicting σ54 promoters and regulon with a hybrid convolutional and recurrent deep neural network. //NAR Genomics and Bioinformatics//, //7//(1), lqae188 [ [[http://dx.doi.org/10.1093/nargab/lqae188|DOI]] | [[https://academic.oup.com/nargab/article/doi/10.1093/nargab/lqae188/7944699|http]] ] |
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| - Bai, S., Yang, X., Koszorús, �., et al. (2025). Charge Radii of Neutron-Rich Scandium Isotopes and the Seniority Symmetry in the 0 f 7 / 2 Shell. //Physical Review Letters//, //134//(18), 182501 [ [[http://dx.doi.org/10.1103/PhysRevLett.134.182501|DOI]] | [[https://link.aps.org/doi/10.1103/PhysRevLett.134.182501|http]] ] | - Bai, S., Yang, X., Koszorús, �., et al. (2025). Charge Radii of Neutron-Rich Scandium Isotopes and the Seniority Symmetry in the 0 f 7 / 2 Shell. //Physical Review Letters//, //134//(18), 182501 [ [[http://dx.doi.org/10.1103/PhysRevLett.134.182501|DOI]] | [[https://link.aps.org/doi/10.1103/PhysRevLett.134.182501|http]] ] |
| - Chen Ye, C., Kreminska, Y., Ye, J., & Sławińska, J. (2025). First-principles studies of fermiology in topological phases of bulk ZrTe 5. //Physical Review Materials//, //9//(5), 054204 [ [[http://dx.doi.org/10.1103/PhysRevMaterials.9.054204|DOI]] | [[https://link.aps.org/doi/10.1103/PhysRevMaterials.9.054204|http]] ] | - Chen Ye, C., Kreminska, Y., Ye, J., & Sławińska, J. (2025). First-principles studies of fermiology in topological phases of bulk ZrTe 5. //Physical Review Materials//, //9//(5), 054204 [ [[http://dx.doi.org/10.1103/PhysRevMaterials.9.054204|DOI]] | [[https://link.aps.org/doi/10.1103/PhysRevMaterials.9.054204|http]] ] |
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| - Huitema, I. R., Oskooei, A. R., Aktaş, M. S., & Riveni, M. (2025). Investigating Echo-Chambers in Decentralized Social Networks: A Mastodon Case Study. In H. Cherifi, M. Donduran, L. M. Rocha, C. Cherifi, & O. Varol, editors, //Complex Networks & Their Applications XIII//, volume 1188, pages 316--328. Springer Nature Switzerland, Cham. ISBN 978-3-031-82430-2 978-3-031-82431-9. Series Title: Studies in Computational Intelligence [ [[http://dx.doi.org/10.1007/978-3-031-82431-9_26|DOI]] | [[https://link.springer.com/10.1007/978-3-031-82431-9_26|http]] ] | - Huitema, I. R., Oskooei, A. R., Aktaş, M. S., & Riveni, M. (2025). Investigating Echo-Chambers in Decentralized Social Networks: A Mastodon Case Study. In H. Cherifi, M. Donduran, L. M. Rocha, C. Cherifi, & O. Varol, editors, //Complex Networks & Their Applications XIII//, volume 1188, pages 316--328. Springer Nature Switzerland, Cham. ISBN 978-3-031-82430-2 978-3-031-82431-9. Series Title: Studies in Computational Intelligence [ [[http://dx.doi.org/10.1007/978-3-031-82431-9_26|DOI]] | [[https://link.springer.com/10.1007/978-3-031-82431-9_26|http]] ] |
| - Lambert, J. W., Roeble, L., Pannetier, T., Etienne, R. S., & Valente, L. (2025). Using phylogenetic data for island biogeography analyses: The DAISIEprep package. //Molecular Phylogenetics and Evolution//, //206//, 108324 [ [[http://dx.doi.org/10.1016/j.ympev.2025.108324|DOI]] | [[https://linkinghub.elsevier.com/retrieve/pii/S1055790325000417|http]] ] | - Lambert, J. W., Roeble, L., Pannetier, T., Etienne, R. S., & Valente, L. (2025). Using phylogenetic data for island biogeography analyses: The DAISIEprep package. //Molecular Phylogenetics and Evolution//, //206//, 108324 [ [[http://dx.doi.org/10.1016/j.ympev.2025.108324|DOI]] | [[https://linkinghub.elsevier.com/retrieve/pii/S1055790325000417|http]] ] |
| - Ma, B., De Biase, A., Guo, J., et al. (2025). The prognostic value of pathologic lymph node imaging using deep learning-based outcome prediction in oropharyngeal cancer patients. //Physics and Imaging in Radiation Oncology//, //33//, 100733 [ [[http://dx.doi.org/10.1016/j.phro.2025.100733|DOI]] | [[https://linkinghub.elsevier.com/retrieve/pii/S2405631625000387|http]] ] | - Ma, B., De Biase, A., Guo, J., et al. (2025). The prognostic value of pathologic lymph node imaging using deep learning-based outcome prediction in oropharyngeal cancer patients. //Physics and Imaging in Radiation Oncology//, //33//, 100733 [ [[http://dx.doi.org/10.1016/j.phro.2025.100733|DOI]] | [[https://linkinghub.elsevier.com/retrieve/pii/S2405631625000387|http]] ] |
| | - Ma, B., Guo, J., Dijk, L. V. V., et al. (2025). PET and CT based DenseNet outperforms advanced deep learning models for outcome prediction of oropharyngeal cancer. //Radiotherapy and Oncology//, //207//, 110852 [ [[http://dx.doi.org/10.1016/j.radonc.2025.110852|DOI]] | [[https://linkinghub.elsevier.com/retrieve/pii/S0167814025001471|http]] ] |
| - Magini, J., Pisciotta, P., Hussein, M., et al. (2025). Integration of microdosimetry into treatment planning systems using look-up tables (LUT): A proof-of-concept. //Physica Medica//, //136//, 105031 [ [[http://dx.doi.org/10.1016/j.ejmp.2025.105031|DOI]] | [[https://linkinghub.elsevier.com/retrieve/pii/S1120179725001413|http]] ] | - Magini, J., Pisciotta, P., Hussein, M., et al. (2025). Integration of microdosimetry into treatment planning systems using look-up tables (LUT): A proof-of-concept. //Physica Medica//, //136//, 105031 [ [[http://dx.doi.org/10.1016/j.ejmp.2025.105031|DOI]] | [[https://linkinghub.elsevier.com/retrieve/pii/S1120179725001413|http]] ] |
| - Mahajna, A., Geurkink, B., Gacesa, R., et al. (2025). Metatranscriptomes of activated sludge microbiomes from saline wastewater treatment plant. //Scientific Data//, //12//(1), 348 [ [[http://dx.doi.org/10.1038/s41597-025-04682-w|DOI]] | [[https://www.nature.com/articles/s41597-025-04682-w|http]] ] | - Mahajna, A., Geurkink, B., Gacesa, R., et al. (2025). Metatranscriptomes of activated sludge microbiomes from saline wastewater treatment plant. //Scientific Data//, //12//(1), 348 [ [[http://dx.doi.org/10.1038/s41597-025-04682-w|DOI]] | [[https://www.nature.com/articles/s41597-025-04682-w|http]] ] |
| - Pramanik, R., Verstappen, R. W. C. P., & Onck, P. R. (2025). Emerging spatiotemporal patterns and collective swimming of magnetically actuated soft robots. //Nonlinear Dynamics// [ [[http://dx.doi.org/10.1007/s11071-025-11353-3|DOI]] | [[https://link.springer.com/10.1007/s11071-025-11353-3|http]] ] | - Pramanik, R., Verstappen, R. W. C. P., & Onck, P. R. (2025). Emerging spatiotemporal patterns and collective swimming of magnetically actuated soft robots. //Nonlinear Dynamics// [ [[http://dx.doi.org/10.1007/s11071-025-11353-3|DOI]] | [[https://link.springer.com/10.1007/s11071-025-11353-3|http]] ] |
| - Qin, T., Valente, L., & Etienne, R. S. (2025). Impact of evolutionary relatedness on species diversification and tree shape. //Journal of Theoretical Biology//, //598//, 111992 [ [[http://dx.doi.org/10.1016/j.jtbi.2024.111992|DOI]] | [[https://linkinghub.elsevier.com/retrieve/pii/S0022519324002777|http]] ] | - Qin, T., Valente, L., & Etienne, R. S. (2025). Impact of evolutionary relatedness on species diversification and tree shape. //Journal of Theoretical Biology//, //598//, 111992 [ [[http://dx.doi.org/10.1016/j.jtbi.2024.111992|DOI]] | [[https://linkinghub.elsevier.com/retrieve/pii/S0022519324002777|http]] ] |
| | - Ryu, J., Trager, S. C., & Wilkinson, M. H. F. (2025). A Shared-Memory Parallel Alpha-Tree Algorithm for Extreme Dynamic Ranges. //IEEE Transactions on Image Processing//, //34//, 6629--6640 [ [[http://dx.doi.org/10.1109/TIP.2025.3616578|DOI]] | [[https://ieeexplore.ieee.org/document/11196007/|http]] ] |
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| - Stindt, C. N., Jo, T., Steen, J. D., Feringa, B. L., & Crespi, S. (2025). Computational Study on the Dynamics of a Bis(benzoxazole)-Based Overcrowded Alkene. //The Journal of Physical Chemistry A//, //129//(5), 1301--1309 [ [[http://dx.doi.org/10.1021/acs.jpca.4c06773|DOI]] | [[https://pubs.acs.org/doi/10.1021/acs.jpca.4c06773|http]] ] | - Stindt, C. N., Jo, T., Steen, J. D., Feringa, B. L., & Crespi, S. (2025). Computational Study on the Dynamics of a Bis(benzoxazole)-Based Overcrowded Alkene. //The Journal of Physical Chemistry A//, //129//(5), 1301--1309 [ [[http://dx.doi.org/10.1021/acs.jpca.4c06773|DOI]] | [[https://pubs.acs.org/doi/10.1021/acs.jpca.4c06773|http]] ] |
| - Stoica, A. & Riveni, M. (2025). Provenance for Longitudinal Analysis in Large Scale Networks. In L. M. Aiello, T. Chakraborty, & S. Gaito, editors, //Social Networks Analysis and Mining//, volume 15212, pages 274--285. Springer Nature Switzerland, Cham. ISBN 978-3-031-78537-5 978-3-031-78538-2. Series Title: Lecture Notes in Computer Science [ [[http://dx.doi.org/10.1007/978-3-031-78538-2_24|DOI]] | [[https://link.springer.com/10.1007/978-3-031-78538-2_24|http]] ] | - Stoica, A. & Riveni, M. (2025). Provenance for Longitudinal Analysis in Large Scale Networks. In L. M. Aiello, T. Chakraborty, & S. Gaito, editors, //Social Networks Analysis and Mining//, volume 15212, pages 274--285. Springer Nature Switzerland, Cham. ISBN 978-3-031-78537-5 978-3-031-78538-2. Series Title: Lecture Notes in Computer Science [ [[http://dx.doi.org/10.1007/978-3-031-78538-2_24|DOI]] | [[https://link.springer.com/10.1007/978-3-031-78538-2_24|http]] ] |
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| - Alecakir, H., Chakraborty, P., Henningsson, P., Van Hofslot, M., & Scheuer, A. (2024). Groningen Team A at SemEval-2024 Task 8: Human/Machine Authorship Attribution Using a Combination of Probabilistic and Linguistic Features. In //Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)//, pages 1926--1932. Association for Computational Linguistics, Mexico City, Mexico [ [[http://dx.doi.org/10.18653/v1/2024.semeval-1.269|DOI]] | [[https://aclanthology.org/2024.semeval-1.269|http]] ] | - Alecakir, H., Chakraborty, P., Henningsson, P., Van Hofslot, M., & Scheuer, A. (2024). Groningen Team A at SemEval-2024 Task 8: Human/Machine Authorship Attribution Using a Combination of Probabilistic and Linguistic Features. In //Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)//, pages 1926--1932. Association for Computational Linguistics, Mexico City, Mexico [ [[http://dx.doi.org/10.18653/v1/2024.semeval-1.269|DOI]] | [[https://aclanthology.org/2024.semeval-1.269|http]] ] |
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| - Aswath, A., Duinkerken, B. P., Giepmans, B. N., Azzopardi, G., & Alsahaf, A. M. (2024). Interactive Segmentation of Biostructures Through Hyperspectral Electron Microscopy. In //2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)//, pages 1--5. IEEE, Helsinki, Finland. ISBN 979-8-3315-1313-9 [ [[http://dx.doi.org/10.1109/WHISPERS65427.2024.10876486|DOI]] | [[https://ieeexplore.ieee.org/document/10876486/|http]] ] | - Aswath, A., Duinkerken, B. P., Giepmans, B. N., Azzopardi, G., & Alsahaf, A. M. (2024). Interactive Segmentation of Biostructures Through Hyperspectral Electron Microscopy. In //2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)//, pages 1--5. IEEE, Helsinki, Finland. ISBN 979-8-3315-1313-9 [ [[http://dx.doi.org/10.1109/WHISPERS65427.2024.10876486|DOI]] | [[https://ieeexplore.ieee.org/document/10876486/|http]] ] |
| - Cotteret, M., Greatorex, H., Ziegler, M., & Chicca, E. (2024). Vector Symbolic Finite State Machines in Attractor Neural Networks. //Neural Computation//, //36//(4), 549--595 [ [[http://dx.doi.org/10.1162/neco_a_01638|DOI]] | [[https://direct.mit.edu/neco/article/36/4/549/119784/Vector-Symbolic-Finite-State-Machines-in-Attractor|http]] ] | - Cotteret, M., Greatorex, H., Ziegler, M., & Chicca, E. (2024). Vector Symbolic Finite State Machines in Attractor Neural Networks. //Neural Computation//, //36//(4), 549--595 [ [[http://dx.doi.org/10.1162/neco_a_01638|DOI]] | [[https://direct.mit.edu/neco/article/36/4/549/119784/Vector-Symbolic-Finite-State-Machines-in-Attractor|http]] ] |
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