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ORCIDNino Antulov-Fantulin
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2020 – today
- 2023
[c14]Vaibhav Krishna
, Nino Antulov-Fantulin:
Temporal-Weighted Bipartite Graph Model for Sparse Expert Recommendation in Community Question Answering. UMAP 2023: 156-163- [c13]M. Eren Akbiyik, Mert Erkul, Killian Kämpf, Vaiva Vasiliauskaite, Nino Antulov-Fantulin:
Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data. WSDM 2023: 688-696 - [i27]Vaiva Vasiliauskaite, Nino Antulov-Fantulin:
Universality of neural dynamics on complex networks. CoRR abs/2301.04900 (2023) - 2022
- [j4]Vaibhav Krishna, Vaiva Vasiliauskaite, Nino Antulov-Fantulin:
Question routing via activity-weighted modularity-enhanced factorization. Soc. Netw. Anal. Min. 12(1): 155 (2022) - [i26]Vaibhav Krishna, Vaiva Vasiliauskaite, Nino Antulov-Fantulin:
Topic Community Based Temporal Expertise for Question Routing. CoRR abs/2207.01753 (2022) - [i25]Vaibhav Krishna, Nino Antulov-Fantulin:
Simplifying Sparse Expert Recommendation by Revisiting Graph Diffusion. CoRR abs/2208.02438 (2022) - 2021
- [i24]Lucas Böttcher, Nino Antulov-Fantulin, Thomas Asikis:
Implicit energy regularization of neural ordinary-differential-equation control. CoRR abs/2103.06525 (2021) - [i23]M. Eren Akbiyik, Mert Erkul, Killian Kaempf, Vaiva Vasiliauskaite, Nino Antulov-Fantulin:
Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data. CoRR abs/2110.14317 (2021) - [i22]Vaiva Vasiliauskaite, Fabrizio Lillo, Nino Antulov-Fantulin:
Information dynamics of price and liquidity around the 2017 Bitcoin markets crash. CoRR abs/2111.09057 (2021) - 2020
- [c12]Thorben Funke, Tian Guo, Alen Lancic, Nino Antulov-Fantulin:
Low-dimensional statistical manifold embedding of directed graphs. ICLR 2020 - [i21]Lucas Böttcher, Nino Antulov-Fantulin:
Unifying susceptible-infected-recovered processes on networks. CoRR abs/2002.11765 (2020) - [i20]Thomas Asikis, Lucas Böttcher, Nino Antulov-Fantulin:
NNC: Neural-Network Control of Dynamical Systems on Graphs. CoRR abs/2006.09773 (2020) - [i19]Metod Jazbec, Barna Pásztor, Felix Faltings, Nino Antulov-Fantulin, Petter N. Kolm:
On the impact of publicly available news and information transfer to financial markets. CoRR abs/2010.12002 (2020)
2010 – 2019
- 2019
- [c11]Xiao-Long Ren, Nino Antulov-Fantulin:
Ensemble Approach for Generalized Network Dismantling. COMPLEX NETWORKS (1) 2019: 783-793 - [c10]Tian Guo, Tao Lin, Nino Antulov-Fantulin:
Exploring interpretable LSTM neural networks over multi-variable data. ICML 2019: 2494-2504 - [c9]Johannes Beck, Roberta Huang, David Lindner, Tian Guo, Ce Zhang, Dirk Helbing, Nino Antulov-Fantulin:
Sensing Social Media Signals for Cryptocurrency News. WWW (Companion Volume) 2019: 1051-1054 - [i18]Johannes Beck, Roberta Huang, David Lindner, Tian Guo, Ce Zhang, Dirk Helbing, Nino Antulov-Fantulin:
Sensing Social Media Signals for Cryptocurrency News. CoRR abs/1903.11451 (2019) - [i17]Thorben Funke, Tian Guo, Alen Lancic, Nino Antulov-Fantulin:
Statistical embedding for directed graphs. CoRR abs/1905.10227 (2019) - [i16]Tian Guo, Tao Lin, Nino Antulov-Fantulin:
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data. CoRR abs/1905.12034 (2019) - [i15]Xiao-Long Ren, Nino Antulov-Fantulin:
Ensemble approach for generalized network dismantling. CoRR abs/1909.09016 (2019) - 2018
- [j3]Xiao-Long Ren, Niels Gleinig, Dijana Tolic, Nino Antulov-Fantulin:
Underestimated Cost of Targeted Attacks on Complex Networks. Complex. 2018: 9826243:1-9826243:15 (2018) - [j2]Dijana Tolic, Nino Antulov-Fantulin, Ivica Kopriva:
A nonlinear orthogonal non-negative matrix factorization approach to subspace clustering. Pattern Recognit. 82: 40-55 (2018) - [c8]Nino Antulov-Fantulin, Dijana Tolic, Matija Piskorec, Ce Zhang, Irena Vodenska:
Inferring Short-Term Volatility Indicators from the Bitcoin Blockchain. COMPLEX NETWORKS (2) 2018: 508-520 - [c7]Tian Guo, Albert Bifet, Nino Antulov-Fantulin:
Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders. ICDM 2018: 989-994 - [c6]Vaibhav Krishna, Tian Guo, Nino Antulov-Fantulin:
Is Simple Better? Revisiting Non-Linear Matrix Factorization for Learning Incomplete Ratings. ICDM Workshops 2018: 1289-1293 - [i14]Xiao-Long Ren, Niels Gleinig, Dirk Helbing, Nino Antulov-Fantulin:
Generalized Network Dismantling. CoRR abs/1801.01357 (2018) - [i13]Tian Guo, Nino Antulov-Fantulin:
Predicting short-term Bitcoin price fluctuations from buy and sell orders. CoRR abs/1802.04065 (2018) - [i12]Nino Antulov-Fantulin, Dijana Tolic, Matija Piskorec, Ce Zhang, Irena Vodenska:
Inferring short-term volatility indicators from Bitcoin blockchain. CoRR abs/1809.07856 (2018) - 2017
- [c5]Matija Piskorec, Nino Antulov-Fantulin, Iva Miholic, Tomislav Smuc, Mile Sikic:
Modeling Peer and External Influence in Online Social Networks: Case of 2013 Referendum in Croatia. COMPLEX NETWORKS 2017: 1015-1027 - [c4]Ivica Kopriva, Maria Brbic, Dijana Tolic, Nino Antulov-Fantulin, Xinjian Chen:
Fast clustering in linear 1D subspaces: segmentation of microscopic image of unstained specimens. Medical Imaging: Digital Pathology 2017: 1014003 - [i11]Dijana Tolic, Nino Antulov-Fantulin, Ivica Kopriva:
A Nonlinear Orthogonal Non-Negative Matrix Factorization Approach to Subspace Clustering. CoRR abs/1709.10323 (2017) - [i10]Xiao-Long Ren, Niels Gleinig, Dijana Tolic, Nino Antulov-Fantulin:
Underestimated cost of targeted attacks on complex networks. CoRR abs/1710.03522 (2017) - [i9]Vaibhav Krishna, Nino Antulov-Fantulin:
Learning from Incomplete Ratings using Nonlinear Multi-layer Semi-Nonnegative Matrix Factorization. CoRR abs/1710.05613 (2017) - 2016
- [i8]Matija Piskorec, Nino Antulov-Fantulin, Iva Miholic, Tomislav Smuc, Mile Sikic:
Modeling peer and external influence in online social networks. CoRR abs/1610.08262 (2016) - [i7]Nino Antulov-Fantulin, Dijana Tolic:
Time augmented bond percolation mapping of spreading dynamics on networks. CoRR abs/1612.08629 (2016) - 2014
- [c3]Nino Antulov-Fantulin, Matko Bosnjak, Vinko Zlatic, Miha Grcar, Tomislav Smuc:
Synthetic Sequence Generator for Recommender Systems - Memory Biased Random Walk on a Sequence Multilayer Network. Discovery Science 2014: 25-36 - [c2]Nino Antulov-Fantulin, Alen Lancic, Hrvoje Stefancic, Mile Sikic, Tomislav Smuc:
Statistical Inference Framework for Source Detection of Contagion Processes on Arbitrary Network Structures. SASO Workshops 2014: 78-83 - [i6]Matija Piskorec, Nino Antulov-Fantulin, Petra Kralj Novak, Igor Mozetic, Miha Grcar, Irena Vodenska, Tomislav Smuc:
News Cohesiveness: an Indicator of Systemic Risk in Financial Markets. CoRR abs/1402.3483 (2014) - [i5]Nino Antulov-Fantulin, Alen Lancic, Tomislav Smuc, Hrvoje Stefancic, Mile Sikic:
Detectability limits of epidemic sources in networks. CoRR abs/1406.2909 (2014) - 2013
- [j1]Nino Antulov-Fantulin, Alen Lancic, Hrvoje Stefancic, Mile Sikic:
FastSIR algorithm: A fast algorithm for the simulation of the epidemic spread in large networks by using the susceptible-infected-recovered compartment model. Inf. Sci. 239: 226-240 (2013) - [i4]Nino Antulov-Fantulin, Alen Lancic, Hrvoje Stefancic, Mile Sikic, Tomislav Smuc:
Statistical inference framework for source detection of contagion processes on arbitrary network structures. CoRR abs/1304.0018 (2013) - 2012
- [i3]Nino Antulov-Fantulin, Matko Bosnjak, Vinko Zlatic, Miha Grcar, Tomislav Smuc:
Memory biased random walk approach to synthetic clickstream generation. CoRR abs/1201.6134 (2012) - [i2]Nino Antulov-Fantulin, Alen Lancic, Hrvoje Stefancic, Mile Sikic:
FastSIR Algorithm: A Fast Algorithm for simulation of epidemic spread in large networks by using SIR compartment model. CoRR abs/1202.1639 (2012) - 2011
- [c1]Matija Piskorec, Nino Antulov-Fantulin, J. Curic, Ognjen Dragoljevic, Vedran Ivanac, Luka Karlovic:
Computer vision system for the chess game reconstruction. MIPRO 2011: 870-876 - [i1]Mile Sikic, Alen Lancic, Nino Antulov-Fantulin, Hrvoje Stefancic:
Epidemic centrality and the underestimated epidemic impact on network peripheral nodes. CoRR abs/1110.2558 (2011)
Coauthor Index
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