| Exploring interpretable LSTM neural networks over multi-variable data T Guo, T Lin, N Antulov-Fantulin International conference on machine learning, 2494-2504, 2019 | 169 | 2019 |
| Generalized network dismantling XL Ren, N Gleinig, D Helbing, N Antulov-Fantulin PNAS, https://doi.org/10.1073/pnas.1806108116, 2019 | 144 | 2019 |
| Bitcoin volatility forecasting with a glimpse into buy and sell orders T Guo, A Bifet, N Antulov-Fantulin 2018 IEEE international conference on data mining (ICDM), 989-994, 2018 | 125* | 2018 |
| Identification of patient zero in static and temporal networks: Robustness and limitations N Antulov-Fantulin, A Lančić, T Šmuc, H Štefančić, M Šikić Physical review letters 114 (24), 248701, 2015 | 113 | 2015 |
| Epidemic centrality—is there an underestimated epidemic impact of network peripheral nodes? M Šikić, A Lančić, N Antulov-Fantulin, H Štefančić The European Physical Journal B 86, 1-13, 2013 | 63 | 2013 |
| A Nonlinear Orthogonal Non-Negative Matrix Factorization Approach to Subspace Clustering D Tolic, N Antulov-Fantulin, I Kopriva Pattern Recognition (2018), 2017 | 59 | 2017 |
| Cohesiveness in financial news and its relation to market volatility M Piškorec, N Antulov-Fantulin, PK Novak, I Mozetič, M Grčar, I Vodenska, ... Scientific reports 4 (1), 5038, 2014 | 54* | 2014 |
| Is Simple Better? Revisiting Non-linear Matrix Factorization for Learning Incomplete Ratings V Krishna, T Guo, N Antulov-Fantulin 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 2018 | 41* | 2018 |
| AI Pontryagin or how artificial neural networks learn to control dynamical systems L Böttcher, N Antulov-Fantulin, T Asikis Natu. Commun. 13, 333, 2022 | 33 | 2022 |
| Predicting bankruptcy of local government: A machine learning approach N Antulov-Fantulin, R Lagravinese, G Resce Journal of Economic Behavior & Organization, 2021 | 32 | 2021 |
| Statistical inference framework for source detection of contagion processes on arbitrary network structures N Antulov-Fantulin, A Lancic, H Stefancic, M Sikic, T Smuc 2014 IEEE Eighth International Conference on Self-Adaptive and Self …, 2014 | 29 | 2014 |
| FastSIR algorithm: A fast algorithm for the simulation of the epidemic spread in large networks by using the susceptible–infected–recovered compartment model N Antulov-Fantulin, A Lančić, H Štefančić, M Šikić Information sciences 239, 226-240, 2013 | 27* | 2013 |
| Building a multisystemic understanding of societal resilience to the COVID-19 pandemic D Wernli, M Clausin, N Antulov-Fantulin, J Berezowski, N Biller-Andorno, ... BMJ global health 6 (7), e006794, 2021 | 25 | 2021 |
| Underestimated cost of targeted attacks on complex networks XL Ren, N Gleinig, D Tolic, N Antulov-Fantulin Complexity, vol. 2018, Article ID 9826243, 15 pages, 2018. doi:10.1155/2018 …, 2017 | 24 | 2017 |
| Ecml-pkdd 2011 discovery challenge overview N Antulov-Fantulin, M Bošnjak, M Znidaršic, M Grcar, M Morzy, T Šmuc Discovery Challenge, 7-20, 2011 | 20* | 2011 |
| Neural ordinary differential equation control of dynamics on graphs T Asikis, L Böttcher, N Antulov-Fantulin Physical Review Research 4 (1), 013221, 2022 | 18 | 2022 |
| Simulating SIR processes on networks using weighted shortest paths D Tolić, KK Kleineberg, N Antulov-Fantulin Scientific reports 8 (1), 6562, 2018 | 18 | 2018 |
| Extending rapidminer with recommender systems algorithms M Mihelčić, N Antulov-Fantulin, M Bošnjak, T Šmuc Proceedings of the 3rd RapidMiner Community Meeting and Conference (RCOMM …, 2012 | 17 | 2012 |
| Governance in the age of complexity: building resilience to COVID-19 and future pandemics D Wernli, N Antulov-Fantulin, J Berezowksi, N Biller-Andorno Universität Genf, 2021 | 16 | 2021 |
| Unifying continuous, discrete, and hybrid susceptible-infected-recovered processes on networks L Bottcher, N Antulov-Fantulin https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.2 …, 2020 | 13* | 2020 |
Tomislav ŠmucSenior scientist, Rudjer Boskovic Institute, Zagreb, CroatiaVerified email at irb.hr
