| 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 | 59 | 2015 |
| 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, 5038, 2014 | 37* | 2014 |
| 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 (10), 440, 2013 | 36 | 2013 |
| 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 | 32* | 2018 |
| Generalized network dismantling XL Ren, N Gleinig, D Helbing, N Antulov-Fantulin PNAS, https://doi.org/10.1073/pnas.1806108116, 2019 | 29 | 2019 |
| 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 | 23 | 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 | 18 | 2013 |
| ECML/PKDD 2011 discovery challenge overview N Antulov-Fantulin, M Bošnjak, M Znidaršic, M Grcar, M Morzy, T Šmuc Discovery Challenge, 7-20, 2011 | 18* | 2011 |
| An experimental study of Bitcoin fluctuation using machine learning methods T Guo, N Antulov-Fantulin arXiv preprint arXiv:1802.04065, 2018 | 14 | 2018 |
| A Nonlinear Orthogonal Non-Negative Matrix Factorization Approach to Subspace Clustering D Tolic, N Antulov-Fantulin, I Kopriva Pattern Recognition (2018), 2017 | 12 | 2017 |
| Extending rapidminer with recommender systems algorithms M Mihelčić, N Antulov-Fantulin, M Bošnjak, T Šmuc RapidMiner Community Meeting and Conference (RCOMM 2012), 2012 | 12 | 2012 |
| Phase diagram of epidemic spreading-unimodal vs. bimodal probability distributions A Lancic, N Antulov-Fantulin, M Sikic, H Stefancic Physica A: Statistical Mechanics and its Applications 390 (1), 65-76, 2009 | 12* | 2009 |
| Exploring interpretable lstm neural networks over multi-variable data T Guo, T Lin, N Antulov-Fantulin arXiv preprint arXiv:1905.12034, 2019 | 9 | 2019 |
| Computer vision system for the chess game reconstruction M Piškorec, N Antulov-Fantulin, J Ćurić, O Dragoljević, V Ivanac, ... 2011 Proceedings of the 34th International Convention MIPRO, 870-876, 2011 | 9 | 2011 |
| 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 | 7* | 2018 |
| 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 | 7 | 2017 |
| Inferring short-term volatility indicators from Bitcoin blockchain N Antulov-Fantulin, D Tolic, M Piskorec, Z Ce, I Vodenska https://doi.org/10.1007/978-3-030-05414-4_41, 2018 | 4 | 2018 |
| Simulating SIR processes on networks using weighted shortest paths D Tolić, KK Kleineberg, N Antulov-Fantulin Scientific reports 8 (1), 1-10, 2018 | 4 | 2018 |
| FastSIR Algorithm: A Fast Algorithm for simulation of epidemic spread in large networks by using SIR compartment model N Antulov-Fantulin, A Lancic, H Stefancic, M Sikic arXiv preprint arXiv:1202.1639, 2012 | 4 | 2012 |
| Constructing recommender systems workflow templates in RapidMiner M Bošnjak, N Antulov-Fantulin, T Šmuc, D Gamberger Proc. of the 2nd RapidMiner Community Meeting and Conference, 101-112, 2011 | 4 | 2011 |
Mile SikicUniversity of Zagreb, Faculty of Electrical Engineering and ComputingVerified email at fer.hr
