Nino Antulov-Fantulin
Nino Antulov-Fantulin
Senior Researcher & Lecturer at ETH, Swiss Federal Institute of Technology, Zurich
Verified email at - Homepage
Cited by
Cited by
Exploring interpretable LSTM neural networks over multi-variable data
T Guo, T Lin, N Antulov-Fantulin
International conference on machine learning, 2494-2504, 2019
Generalized network dismantling
XL Ren, N Gleinig, D Helbing, N Antulov-Fantulin
PNAS,, 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
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
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
A Nonlinear Orthogonal Non-Negative Matrix Factorization Approach to Subspace Clustering
D Tolic, N Antulov-Fantulin, I Kopriva
Pattern Recognition (2018), 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
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
AI Pontryagin or how artificial neural networks learn to control dynamical systems
L Böttcher, N Antulov-Fantulin, T Asikis
Natu. Commun. 13, 333, 2022
Predicting bankruptcy of local government: A machine learning approach
N Antulov-Fantulin, R Lagravinese, G Resce
Journal of Economic Behavior & Organization, 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
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
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
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
Ecml-pkdd 2011 discovery challenge overview
N Antulov-Fantulin, M Bošnjak, M Znidaršic, M Grcar, M Morzy, T Šmuc
Discovery Challenge, 7-20, 2011
Neural ordinary differential equation control of dynamics on graphs
T Asikis, L Böttcher, N Antulov-Fantulin
Physical Review Research 4 (1), 013221, 2022
Simulating SIR processes on networks using weighted shortest paths
D Tolić, KK Kleineberg, N Antulov-Fantulin
Scientific reports 8 (1), 6562, 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
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
Unifying continuous, discrete, and hybrid susceptible-infected-recovered processes on networks
L Bottcher, N Antulov-Fantulin …, 2020
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