PUBLICATIONS
Deb, S., Sidheekh, S., Clements, C. F., Krishnan, N. C. and Dutta, P. S., Machine learning methods trained on simple models can predict critical transitions in complex natural systems, Royal Society Open Science, The Royal Society Publishing, Vol. 9, 211475(12) (2022). DOI:https://doi.org/10.1098/rsos.211475
Deb, S., Bhandary, S., Sinha, S., Jolly, M.K., and Dutta, P.S., Identifying Critical Transitions in Complex Diseases, Journal of Biosciences, Springer, Vol. 47, 25, 1-16 (2022). DOI:https://doi.org/10.1007/s12038-022-00258-7
Deb, S., Bhandary, S., and Dutta, P. S., Evading tipping points in socio-mutualistic networks via structure mediated optimal strategy, Journal of Theoretical Biology, Elsevier, Vol. 567, 111494(10) (2023). DOI: https://doi.org/10.1016/j.jtbi.2023.111494
Bhandary, S., Deb, S. and Dutta, P. S., Rising Temperature Drives Tipping Points in Mutualistic Networks, Royal Society Open Science, The Royal Society Publishing, Vol. 10(2), 221363(17) (2023). DOI: https://doi.org/10.1098/rsos.221363
Pal, K., Deb, S. and Dutta, P. S., Tipping points in spatial ecosystems driven by correlated noise, Physical Review E, APS, Vol. 106 (5), 054412 (9) (2022). DOI: https://doi.org/10.1103/PhysRevE.106.054412
O'Brien, D., Deb, S., Sidheekh, S., Krishnan, N. C. and Dutta, P. S., Clements, C. F., EWSmethods: an R package to forecast tipping points at the community level using early warning signals and machine learning models. Ecography 2023, no. 10 (2023): e06674. DOI: http://doi.org/10.1111/ecog.06674
Deb, S., and Dutta, P. S., Spatial Mutual information as an indicator of critical transition in spatiotemporal systems, (2024). Proceedings of the Royal Society A, 480(2283), p.20230594. DOI: http://doi.org/10.1098/rspa.2023.0594
O’Brien, D.A., Deb, S., Gal, G., Thackeray, S.J., Dutta, P.S., Matsuzaki, S.I.S., May, L. and Clements, C.F., Early warning signals have limited applicability to empirical lake data, (2023). Nature Communications, 14(1), p.7942. DOI: https://doi.org/10.1038s41467-023-43744-8
Deb, S., Mahendru, E., Goyal, P., Guttal, V., Krishnan, N. C., Dutta, P.S., Optimal sampling of spatial patterns improves deep learning based early warning signals of critical transitions, (2024). Royal Society Open Science, The Royal Society Publishing, Vol. 11: 231767. DOI: https://doi.org/10.1098/rsos.231767
Kulkarni, K., Deb, S., Dutta, P.S. (2024). Efficacy of dynamic eigenvalue in anticipating and distinguishing tipping points. Theoretical Ecology (In press).
Deb, S., Bhandary, S., Jolly, M.K., Dutta, P.S., Methods for identifying critical transitions during cancer progression, (2024). To appear in "Cancer Systems Biology", Edited Book, Oxford University Press.