Recent publications
Article
Ondrusova, B, Tino, P & Svehlikova, J 2023, 'A two-step inverse solution for a single dipole cardiac source', Frontiers in Physiology, vol. 14, 1264690. https://doi.org/10.3389/fphys.2023.1264690
Wang, R, Gates, V, Shen, Y, Tino, P & Kourtzi, Z 2023, 'Flexible structure learning under uncertainty', Frontiers in Neuroscience, vol. 17, 1195388. https://doi.org/10.3389/fnins.2023.1195388
Zhang, S, Tino, P & Yao, X 2023, 'Hierarchical reduced-space drift detection framework for multivariate supervised data streams', IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 3, pp. 2628-2640. https://doi.org/10.1109/TKDE.2021.3111756
Rodgers, N, Tiňo, P & Johnson, S 2023, 'Influence and influenceability: global directionality in directed complex networks', Royal Society Open Science, vol. 10, no. 8, 221380. https://doi.org/10.1098/rsos.221380
Rodgers, N, Tino, P & Johnson, S 2023, 'Strong connectivity in real directed networks', Proceedings of the National Academy of Sciences, vol. 120, no. 12, e2215752120. https://doi.org/10.1073/pnas.2215752120
Awad, P, Peletier, R, Canducci, M, Smith, R, Taghribi, A, Mohammadi, M, Shin, J, Tino, P & Bunte, K 2023, 'Swarm Intelligence-based Extraction and Manifold Crawling Along the Large-Scale Structure', Monthly Notices of the Royal Astronomical Society. https://doi.org/10.1093/mnras/stad428
Gokhale, KM, Chandan, JS, Sainsbury, C, Tino, P, Tahrani, A, Toulis, K & Nirantharakumar, K 2024, 'Using Repeated Measurements to Predict Cardiovascular Risk in Patients With Type 2 Diabetes Mellitus', The American Journal of Cardiology, vol. 210, pp. 133-142. https://doi.org/10.1016/j.amjcard.2023.10.008
Alzheimer’s Disease Neuroimaging Initiative 2022, 'A robust and interpretable machine learning approach using multimodal biological data to predict future pathological tau accumulation', Nature Communications, vol. 13, no. 1, 1887. https://doi.org/10.1038/s41467-022-28795-7
Taghribi, A, Canducci, M, Mastropietro, M, Rijcke, SD, Bunte, K & Tino, P 2022, 'ASAP – A sub-sampling approach for preserving topological structures modeled with geodesic topographic mapping', Neurocomputing, vol. 470, pp. 376-388. https://doi.org/10.1016/j.neucom.2021.05.108
Patel, K, Fernandez-villamarin, M, Ward, C, Lord, JM, Tino, P & Mendes, PM 2022, 'Establishing a quantitative fluorescence assay for the rapid detection of kynurenine in urine', The Analyst, vol. 147, no. 9, 1931, pp. 1931-1936. https://doi.org/10.1039/D2AN00107A
Mohammadi, M, Tino, P & Bunte, K 2022, 'Manifold alignment aware ants: a Markovian process for manifold extraction', Neural Computation, vol. 34, no. 3, pp. 595-641. https://doi.org/10.1162/neco_a_01478
Rodgers, N, Tino, P & Johnson, S 2022, 'Network hierarchy and pattern recovery in directed sparse Hopfield networks', Physical Review E, vol. 105, no. 6, 064304 , pp. 64304. https://doi.org/10.1103/PhysRevE.105.064304
Canducci, M, Tino, P & Mastropietro, M 2022, 'Probabilistic modelling of general noisy multi-manifold data sets', Artificial Intelligence, vol. 302, 103579. https://doi.org/10.1016/j.artint.2021.103579
Conference contribution
Adeyemo, H, Bahsoon, R & Tino, P 2023, Surrogate-based Digital Twin for Predictive Fault Modelling and Testing of Cyber Physical Systems. in 2022 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT). IEEE/ACM International Conference on Big Data Computing Applications and Technologies, IEEE, pp. 166-169, 9th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, Vancouver, Washington, United States, 6/12/22. https://doi.org/10.1109/BDCAT56447.2022.00028
Friess, S, Tiňo, P, Menzel, S, Sendhoff, B & Yao, X 2022, Predicting CMA-ES operators as inductive biases for shape optimization problems. in 2021 IEEE Symposium Series on Computational Intelligence (SSCI)., 9660001, IEEE Symposium Series on Computational Intelligence, Institute of Electrical and Electronics Engineers (IEEE), IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021), Orlando, Florida, United States, 5/12/21. https://doi.org/10.1109/SSCI50451.2021.9660001
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