Nino Antulov-Fantulin

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 35

Top Topics

Online Social Networks

Matrix Factorization

Manifold Embedding

Neural Dynamics

Top Venues

Discovery Science

Soc. Netw. Anal. Min.

COMPLEX NETWORKS (2)

Publications

M. Eren Akbiyik, Mert Erkul, Killian Kämpf, Vaiva Vasiliauskaite, Nino Antulov-Fantulin
Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data. WSDM (2023)
Vaiva Vasiliauskaite, Nino Antulov-Fantulin
Universality of neural dynamics on complex networks. CoRR (2023)
Vaibhav Krishna, Nino Antulov-Fantulin
Temporal-Weighted Bipartite Graph Model for Sparse Expert Recommendation in Community Question Answering. UMAP (2023)
Vaibhav Krishna, Vaiva Vasiliauskaite, Nino Antulov-Fantulin
Topic Community Based Temporal Expertise for Question Routing. CoRR (2022)
Vaibhav Krishna, Vaiva Vasiliauskaite, Nino Antulov-Fantulin
Question routing via activity-weighted modularity-enhanced factorization. Soc. Netw. Anal. Min. 12 (1) (2022)
Vaibhav Krishna, Nino Antulov-Fantulin
Simplifying Sparse Expert Recommendation by Revisiting Graph Diffusion. CoRR (2022)
Lucas Böttcher, Nino Antulov-Fantulin, Thomas Asikis
Implicit energy regularization of neural ordinary-differential-equation control. CoRR (2021)
Vaiva Vasiliauskaite, Fabrizio Lillo, Nino Antulov-Fantulin
Information dynamics of price and liquidity around the 2017 Bitcoin markets crash. CoRR (2021)
M. Eren Akbiyik, Mert Erkul, Killian Kaempf, Vaiva Vasiliauskaite, Nino Antulov-Fantulin
Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data. CoRR (2021)
Thomas Asikis, Lucas Böttcher, Nino Antulov-Fantulin
NNC: Neural-Network Control of Dynamical Systems on Graphs. CoRR (2020)
Lucas Böttcher, Nino Antulov-Fantulin
Unifying susceptible-infected-recovered processes on networks. CoRR (2020)
Thorben Funke, Tian Guo, Alen Lancic, Nino Antulov-Fantulin
Low-dimensional statistical manifold embedding of directed graphs. ICLR (2020)
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 (2020)
Xiao-Long Ren, Nino Antulov-Fantulin
Ensemble approach for generalized network dismantling. CoRR (2019)
Xiao-Long Ren, Nino Antulov-Fantulin
Ensemble Approach for Generalized Network Dismantling. COMPLEX NETWORKS (1) (2019)
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)
Thorben Funke, Tian Guo, Alen Lancic, Nino Antulov-Fantulin
Statistical embedding for directed graphs. CoRR (2019)
Tian Guo, Tao Lin, Nino Antulov-Fantulin
Exploring interpretable LSTM neural networks over multi-variable data. ICML (2019)
Johannes Beck, Roberta Huang, David Lindner, Tian Guo, Ce Zhang, Dirk Helbing, Nino Antulov-Fantulin
Sensing Social Media Signals for Cryptocurrency News. CoRR (2019)
Tian Guo, Tao Lin, Nino Antulov-Fantulin
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data. CoRR (2019)
Vaibhav Krishna, Tian Guo, Nino Antulov-Fantulin
Is Simple Better? Revisiting Non-Linear Matrix Factorization for Learning Incomplete Ratings. ICDM Workshops (2018)
Xiao-Long Ren, Niels Gleinig, Dirk Helbing, Nino Antulov-Fantulin
Generalized Network Dismantling. CoRR (2018)
Tian Guo, Nino Antulov-Fantulin
Predicting short-term Bitcoin price fluctuations from buy and sell orders. CoRR (2018)
Xiao-Long Ren, Niels Gleinig, Dijana Tolic, Nino Antulov-Fantulin
Underestimated Cost of Targeted Attacks on Complex Networks. Complex. 2018 (2018)
Nino Antulov-Fantulin, Dijana Tolic, Matija Piskorec, Ce Zhang, Irena Vodenska
Inferring short-term volatility indicators from Bitcoin blockchain. CoRR (2018)
Dijana Tolic, Nino Antulov-Fantulin, Ivica Kopriva
A nonlinear orthogonal non-negative matrix factorization approach to subspace clustering. Pattern Recognit. 82 (2018)
Nino Antulov-Fantulin, Dijana Tolic, Matija Piskorec, Ce Zhang, Irena Vodenska
Inferring Short-Term Volatility Indicators from the Bitcoin Blockchain. COMPLEX NETWORKS (2) (2018)
Tian Guo, Albert Bifet, Nino Antulov-Fantulin
Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders. ICDM (2018)
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)
Xiao-Long Ren, Niels Gleinig, Dijana Tolic, Nino Antulov-Fantulin
Underestimated cost of targeted attacks on complex networks. CoRR (2017)
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)
Vaibhav Krishna, Nino Antulov-Fantulin
Learning from Incomplete Ratings using Nonlinear Multi-layer Semi-Nonnegative Matrix Factorization. CoRR (2017)
Dijana Tolic, Nino Antulov-Fantulin, Ivica Kopriva
A Nonlinear Orthogonal Non-Negative Matrix Factorization Approach to Subspace Clustering. CoRR (2017)
Nino Antulov-Fantulin, Dijana Tolic
Time augmented bond percolation mapping of spreading dynamics on networks. CoRR (2016)
Matija Piskorec, Nino Antulov-Fantulin, Iva Miholic, Tomislav Smuc, Mile Sikic
Modeling peer and external influence in online social networks. CoRR (2016)
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 (2014)
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)
Nino Antulov-Fantulin, Alen Lancic, Tomislav Smuc, Hrvoje Stefancic, Mile Sikic
Detectability limits of epidemic sources in networks. CoRR (2014)
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)
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 (2013)
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 (2013)
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 (2012)
Nino Antulov-Fantulin, Matko Bosnjak, Vinko Zlatic, Miha Grcar, Tomislav Smuc
Memory biased random walk approach to synthetic clickstream generation CoRR (2012)
Matija Piskorec, Nino Antulov-Fantulin, J. Curic, Ognjen Dragoljevic, Vedran Ivanac, Luka Karlovic
Computer vision system for the chess game reconstruction. MIPRO (2011)
Mile Sikic, Alen Lancic, Nino Antulov-Fantulin, Hrvoje Stefancic
Epidemic centrality and the underestimated epidemic impact on network peripheral nodes CoRR (2011)