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
632015
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
40*2014
Generalized network dismantling
XL Ren, N Gleinig, D Helbing, N Antulov-Fantulin
PNAS, https://doi.org/10.1073/pnas.1806108116, 2019
392019
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
36*2018
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
362013
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
242014
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
232013
Ecml-pkdd 2011 discovery challenge overview
N Antulov-Fantulin, M Bošnjak, M Znidaršic, M Grcar, M Morzy, T Šmuc
Discovery Challenge, 7-20, 2011
19*2011
Exploring interpretable lstm neural networks over multi-variable data
T Guo, T Lin, N Antulov-Fantulin
arXiv preprint arXiv:1905.12034, 2019
172019
A Nonlinear Orthogonal Non-Negative Matrix Factorization Approach to Subspace Clustering
D Tolic, N Antulov-Fantulin, I Kopriva
Pattern Recognition (2018), 2017
172017
An experimental study of Bitcoin fluctuation using machine learning methods
T Guo, N Antulov-Fantulin
arXiv preprint arXiv:1802.04065, 2018
162018
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
13*2009
Extending rapidminer with recommender systems algorithms
M Mihelčić, N Antulov-Fantulin, M Bošnjak, T Šmuc
RapidMiner Community Meeting and Conference (RCOMM 2012), 2012
122012
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
11*2018
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
92011
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
82017
Simulating SIR processes on networks using weighted shortest paths
D Tolić, KK Kleineberg, N Antulov-Fantulin
Scientific reports 8 (1), 1-10, 2018
52018
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
52011
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
42018
Parallel protein docking tool
I Sović, N Antulov-Fantulin, I Čanadi, M Piškorec, M Šikić
The 33rd International Convention MIPRO, 1333-1338, 2010
42010
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Articles 1–20