Nino Antulov-Fantulin
Nino Antulov-Fantulin
Researcher & lecturer at ETH, Swiss Federal Institute of Technology, Zurich
Verified email at ethz.ch - Homepage
Title
Cited by
Cited by
Year
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
792015
Generalized network dismantling
XL Ren, N Gleinig, D Helbing, N Antulov-Fantulin
PNAS, https://doi.org/10.1073/pnas.1806108116, 2019
642019
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
57*2018
Exploring interpretable lstm neural networks over multi-variable data
T Guo, T Lin, N Antulov-Fantulin
International conference on machine learning, 2494-2504, 2019
552019
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), 1-8, 2014
44*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), 1-13, 2013
432013
A Nonlinear Orthogonal Non-Negative Matrix Factorization Approach to Subspace Clustering
D Tolic, N Antulov-Fantulin, I Kopriva
Pattern Recognition (2018), 2017
312017
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
282014
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
25*2013
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
23*2018
An experimental study of Bitcoin fluctuation using machine learning methods
T Guo, N Antulov-Fantulin
arXiv preprint arXiv:1802.04065, 2018
212018
ECML/PKDD 2011 discovery challenge overview
N Antulov-Fantulin, M Bošnjak, M Znidaršic, M Grcˇar, M Morzy, T Šmuc
Proceedings of ECMLPKDD 2011 Discovery Challenge Workshop, 7-20, 2011
20*2011
Extending rapidminer with recommender systems algorithms
M Mihelčić, N Antulov-Fantulin, M Bošnjak, T Šmuc
RapidMiner Community Meeting and Conference (RCOMM 2012), 2012
142012
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
132017
Simulating SIR processes on networks using weighted shortest paths
D Tolić, KK Kleineberg, N Antulov-Fantulin
Scientific reports 8 (1), 1-10, 2018
122018
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
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
112018
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
112011
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
9*2020
Sensing Social Media Signals for Cryptocurrency News
Beck, Huang, Lindner, Guo, Zhang, Helbing, Antulov-Fantulin
ACM WWW '19 Conference, MSM'19 Workshop, 2019
92019
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Articles 1–20