Article

Chen, Y. ORCID: https://orcid.org/0000-0002-2319-6937, Carrassi, A. ORCID: https://orcid.org/0000-0003-0722-5600 and Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 (2021) Inferring the instability of a dynamical system from the skill of data assimilation exercises. Nonlinear Processes in Geophysics, 28 (4). pp. 633-649. ISSN 1023-5809 doi: https://doi.org/10.5194/npg-28-633-2021

Faranda, D., Alberti, T., Arutkin, M., Lembo, V. and Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 (2021) Interrupting vaccination policies can greatly spread SARS-CoV-2 and enhance mortality from COVID-19 disease: the AstraZeneca case for France and Italy. Chaos: An Interdisciplinary Journal of Nonlinear Science, 31 (4). 041105. ISSN 1089-7682 doi: https://doi.org/10.1063/5.0050887

Galfi, V. M., Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471, Ragone, F. and Wouters, J. ORCID: https://orcid.org/0000-0001-5418-7657 (2021) Applications of large deviation theory in geophysical fluid dynamics and climate science. Rivista del Nuovo Cimento, 44. pp. 291-363. ISSN 1826-9850 doi: https://doi.org/10.1007/s40766-021-00020-z

Gelbrecht, M., Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471, Boers, N. and Kurths, J. (2021) Analysis of a bistable climate toy model with physics-based machine learning methods. The European Physical Journal Special Topics, 230. pp. 3121-3131. ISSN 1951-6355 doi: https://doi.org/10.1140/epjs/s11734-021-00175-0

Hussein, M., Law, C. ORCID: https://orcid.org/0000-0003-0686-1998 and Fraser, I. (2021) An analysis of food demand in a fragile and insecure country: Somalia as a case study. Food Policy, 101. 102092. ISSN 0306-9192 doi: https://doi.org/10.1016/j.foodpol.2021.102092

Jansen, S., Kuna, T. and Tsagkarogiannis, D. (2021) Lagrange inversion and combinatorial species with uncountable color palette. Annales Henri Poincare, 22. pp. 1499-1534. ISSN 1424-0661 doi: https://doi.org/10.1007/s00023-020-01013-0

Margazoglou, G., Grafke, T., Laio, A. and Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 (2021) Dynamical landscape and multistability of a climate model. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 477 (2250). ISSN 1364-5021 doi: https://doi.org/10.1098/rspa.2021.0019

Recchia, L. G. ORCID: https://orcid.org/0000-0002-5907-9468, Griffiths, S. D. and Parker, D. J. (2021) Controls on propagation of the Indian monsoon onset in an idealised model. Quarterly Journal of the Royal Meteorological Society, 147 (741). pp. 4010-4031. ISSN 1477-870X doi: https://doi.org/10.1002/qj.4165

Santos Gutiérrez, M. ORCID: https://orcid.org/0000-0001-8617-2804, Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471, Chekroun, M. D. ORCID: https://orcid.org/0000-0002-4525-5141 and Ghil, M. ORCID: https://orcid.org/0000-0001-5177-7133 (2021) Reduced-order models for coupled dynamical systems: data-driven methods and the Koopman operator. Chaos: An Interdisciplinary Journal of Nonlinear Science, 31 (5). 053116. ISSN 1089-7682 doi: https://doi.org/10.1063/5.0039496

Tomasini, U. M. and Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 (2021) Predictors and predictands of linear response in spatially extended systems. European Physical Journal Special Topics, 230. pp. 2813-2832. ISSN 1951-6355 doi: https://doi.org/10.1140/epjs/s11734-021-00158-1

Vandaele, R., Dance, S. L. ORCID: https://orcid.org/0000-0003-1690-3338 and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2021) Deep learning for automated river-level monitoring through river camera images: an approach based on water segmentation and transfer learning. Hydrology and Earth System Sciences, 25 (8). pp. 4435-4453. ISSN 1027-5606 doi: https://doi.org/10.5194/hess-25-4435-2021

Zagli, N. ORCID: https://orcid.org/0000-0003-4509-1615, Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 and Pavliotis, G. A. ORCID: https://orcid.org/0000-0002-3468-9227 (2021) Spectroscopy of phase transitions for multiagent systems. Chaos: An Interdisciplinary Journal of Nonlinear Science, 31 (6). 061103. ISSN 1089-7682 doi: https://doi.org/10.1063/5.0053558

Conference or Workshop Item

Jaikumar, P., Vandaele, R. and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2021) Transfer learning for instance segmentation of waste bottles using Mask R-CNN algorithm. In: International Conference on Intelligent Systems Design and Applications, 12-15 December 2020, online, pp. 140-149. doi: https://doi.org/10.1007/978-3-030-71187-0_13 (Intelligent Systems Design and Applications. ISDA 2020. Advances in Intelligent Systems and Computing, vol 1351.)

Pravin, C., Martino, I., Nicosia, G. and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2021) Adversarial robustness in deep learning: attacks on fragile neurons. In: 30th International Conference on Artificial Neural Networks, September 14-17, 2021, Bratislava, Slovakia (Online), pp. 16-28. doi: https://doi.org/10.1007/978-3-030-86362-3_2

Shergill, J. S., Pravin, C. and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2021) Accent and gender recognition from English language speech and audio using signal processing and deep learning. In: International Conference on Hybrid Intelligent Systems, 14-16 Dec 2020, pp. 62-72. doi: https://doi.org/10.1007/978-3-030-73050-5_7

Taylor, R., Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Martino, I. and Nicosia, G. (2021) Sensitivity analysis for deep learning: ranking hyper-parameter influence. In: 33rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI2021), 1-3 NOV 2021, Online. doi: https://doi.org/10.1109/ICTAI52525.2021.00083

Vandaele, R., Dance, S. ORCID: https://orcid.org/0000-0003-1690-3338 and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2021) Automated water segmentation and river level detection on camera images using transfer learning. In: 42nd German Conference on Pattern Recognition (DAGM GCPR 2020), 28 Sep - 1 Oct 2020, pp. 232-245. doi: https://doi.org/10.1007/978-3-030-71278-5

Ward, B., Pravin, C., Chetcuti, A., Hayashi, Y. and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2021) Classification of musical preference in generation Z through EEG signal processing and machine learning. In: International Conference on Intelligent Systems Design and Applications, 12-15 December 2020, https://link.springer.com/conference/isda, pp. 117-127. doi: https://doi.org/10.1007/978-3-030-71187-0_11