Nino Antulov-Fantulin

47 papers A* 3A 2B 1Journal 33Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards agent-based-model informed neural networks. EPJ Data Sci. Nino Antulov-Fantulin
2025	J	`jnl`	Towards agent-based-model informed neural networks. CoRR Nino Antulov-Fantulin
2023	A	`conf`	Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data. WSDM M. Eren Akbiyik, Mert Erkul, Killian Kämpf, Vaiva Vasiliauskaite, Nino Antulov-Fantulin
2023	A	`conf`	Temporal-Weighted Bipartite Graph Model for Sparse Expert Recommendation in Community Question Answering. UMAP Vaibhav Krishna, Nino Antulov-Fantulin
2023	J	`jnl`	Universality of neural dynamics on complex networks. CoRR Vaiva Vasiliauskaite, Nino Antulov-Fantulin
2022	J	`jnl`	Question routing via activity-weighted modularity-enhanced factorization. Soc. Netw. Anal. Min. Vaibhav Krishna, Vaiva Vasiliauskaite, Nino Antulov-Fantulin
2022	J	`jnl`	Simplifying Sparse Expert Recommendation by Revisiting Graph Diffusion. CoRR Vaibhav Krishna, Nino Antulov-Fantulin
2022	J	`jnl`	Topic Community Based Temporal Expertise for Question Routing. CoRR Vaibhav Krishna, Vaiva Vasiliauskaite, Nino Antulov-Fantulin
2021	J	`jnl`	Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data. CoRR M. Eren Akbiyik, Mert Erkul, Killian Kaempf, Vaiva Vasiliauskaite, Nino Antulov-Fantulin
2021	J	`jnl`	Implicit energy regularization of neural ordinary-differential-equation control. CoRR Lucas Böttcher, Nino Antulov-Fantulin, Thomas Asikis
2021	J	`jnl`	Information dynamics of price and liquidity around the 2017 Bitcoin markets crash. CoRR Vaiva Vasiliauskaite, Fabrizio Lillo, Nino Antulov-Fantulin
2020	A*	`conf`	Low-dimensional statistical manifold embedding of directed graphs. ICLR Thorben Funke, Tian Guo, Alen Lancic, Nino Antulov-Fantulin
2020	J	`jnl`	NNC: Neural-Network Control of Dynamical Systems on Graphs. CoRR Thomas Asikis, Lucas Böttcher, Nino Antulov-Fantulin
2020	J	`jnl`	On the impact of publicly available news and information transfer to financial markets. CoRR Metod Jazbec, Barna Pásztor, Felix Faltings, Nino Antulov-Fantulin, Petter N. Kolm
2020	J	`jnl`	Unifying susceptible-infected-recovered processes on networks. CoRR Lucas Böttcher, Nino Antulov-Fantulin
2019	—	`conf`	Ensemble Approach for Generalized Network Dismantling. COMPLEX NETWORKS (1) Xiao-Long Ren, Nino Antulov-Fantulin
2019	J	`jnl`	Ensemble approach for generalized network dismantling. CoRR Xiao-Long Ren, Nino Antulov-Fantulin
2019	J	`jnl`	Exploring Interpretable LSTM Neural Networks over Multi-Variable Data. CoRR Tian Guo, Tao Lin, Nino Antulov-Fantulin
2019	A*	`conf`	Exploring interpretable LSTM neural networks over multi-variable data. ICML Tian Guo, Tao Lin, Nino Antulov-Fantulin
2019	—	`conf`	Sensing Social Media Signals for Cryptocurrency News. WWW (Companion Volume) Johannes Beck, Roberta Huang, David Lindner, Tian Guo, Ce Zhang, Dirk Helbing, Nino Antulov-Fantulin
2019	J	`jnl`	Sensing Social Media Signals for Cryptocurrency News. CoRR Johannes Beck, Roberta Huang, David Lindner, Tian Guo, Ce Zhang, Dirk Helbing, Nino Antulov-Fantulin
2019	J	`jnl`	Statistical embedding for directed graphs. CoRR Thorben Funke, Tian Guo, Alen Lancic, Nino Antulov-Fantulin
2018	J	`jnl`	A nonlinear orthogonal non-negative matrix factorization approach to subspace clustering. Pattern Recognit. Dijana Tolic, Nino Antulov-Fantulin, Ivica Kopriva
2018	A*	`conf`	Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders. ICDM Tian Guo, Albert Bifet, Nino Antulov-Fantulin
2018	J	`jnl`	Generalized Network Dismantling. CoRR Xiao-Long Ren, Niels Gleinig, Dirk Helbing, Nino Antulov-Fantulin
2018	—	`conf`	Inferring Short-Term Volatility Indicators from the Bitcoin Blockchain. COMPLEX NETWORKS (2) Nino Antulov-Fantulin, Dijana Tolic, Matija Piskorec, Ce Zhang, Irena Vodenska
2018	J	`jnl`	Inferring short-term volatility indicators from Bitcoin blockchain. CoRR Nino Antulov-Fantulin, Dijana Tolic, Matija Piskorec, Ce Zhang, Irena Vodenska
2018	—	`conf`	Is Simple Better? Revisiting Non-Linear Matrix Factorization for Learning Incomplete Ratings. ICDM Workshops Vaibhav Krishna, Tian Guo, Nino Antulov-Fantulin
2018	J	`jnl`	Predicting short-term Bitcoin price fluctuations from buy and sell orders. CoRR Tian Guo, Nino Antulov-Fantulin
2018	J	`jnl`	Underestimated Cost of Targeted Attacks on Complex Networks. Complex. Xiao-Long Ren, Niels Gleinig, Dijana Tolic, Nino Antulov-Fantulin
2017	J	`jnl`	A Nonlinear Orthogonal Non-Negative Matrix Factorization Approach to Subspace Clustering. CoRR Dijana Tolic, Nino Antulov-Fantulin, Ivica Kopriva
2017	—	`conf`	Fast clustering in linear 1D subspaces: segmentation of microscopic image of unstained specimens. Digital Pathology Ivica Kopriva, Maria Brbic, Dijana Tolic, Nino Antulov-Fantulin, Xinjian Chen
2017	J	`jnl`	Learning from Incomplete Ratings using Nonlinear Multi-layer Semi-Nonnegative Matrix Factorization. CoRR Vaibhav Krishna, Nino Antulov-Fantulin
2017	—	`conf`	Modeling Peer and External Influence in Online Social Networks: Case of 2013 Referendum in Croatia. COMPLEX NETWORKS Matija Piskorec, Nino Antulov-Fantulin, Iva Miholic, Tomislav Smuc, Mile Sikic
2017	J	`jnl`	Underestimated cost of targeted attacks on complex networks. CoRR Xiao-Long Ren, Niels Gleinig, Dijana Tolic, Nino Antulov-Fantulin
2016	J	`jnl`	Modeling peer and external influence in online social networks. CoRR Matija Piskorec, Nino Antulov-Fantulin, Iva Miholic, Tomislav Smuc, Mile Sikic
2016	J	`jnl`	Time augmented bond percolation mapping of spreading dynamics on networks. CoRR Nino Antulov-Fantulin, Dijana Tolic
2014	J	`jnl`	Detectability limits of epidemic sources in networks. CoRR Nino Antulov-Fantulin, Alen Lancic, Tomislav Smuc, Hrvoje Stefancic, Mile Sikic
2014	J	`jnl`	News Cohesiveness: an Indicator of Systemic Risk in Financial Markets. CoRR Matija Piskorec, Nino Antulov-Fantulin, Petra Kralj Novak, Igor Mozetic, Miha Grcar, Irena Vodenska, Tomislav Smuc
2014	—	`conf`	Statistical Inference Framework for Source Detection of Contagion Processes on Arbitrary Network Structures. SASO Workshops Nino Antulov-Fantulin, Alen Lancic, Hrvoje Stefancic, Mile Sikic, Tomislav Smuc
2014	B	`conf`	Synthetic Sequence Generator for Recommender Systems - Memory Biased Random Walk on a Sequence Multilayer Network. Discovery Science Nino Antulov-Fantulin, Matko Bosnjak, Vinko Zlatic, Miha Grcar, Tomislav Smuc
2013	J	`jnl`	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. Nino Antulov-Fantulin, Alen Lancic, Hrvoje Stefancic, Mile Sikic
2013	J	`jnl`	Statistical inference framework for source detection of contagion processes on arbitrary network structures CoRR Nino Antulov-Fantulin, Alen Lancic, Hrvoje Stefancic, Mile Sikic, Tomislav Smuc
2012	J	`jnl`	FastSIR Algorithm: A Fast Algorithm for simulation of epidemic spread in large networks by using SIR compartment model CoRR Nino Antulov-Fantulin, Alen Lancic, Hrvoje Stefancic, Mile Sikic
2012	J	`jnl`	Memory biased random walk approach to synthetic clickstream generation CoRR Nino Antulov-Fantulin, Matko Bosnjak, Vinko Zlatic, Miha Grcar, Tomislav Smuc
2011	—	`conf`	Computer vision system for the chess game reconstruction. MIPRO Matija Piskorec, Nino Antulov-Fantulin, J. Curic, Ognjen Dragoljevic, Vedran Ivanac, Luka Karlovic
2011	J	`jnl`	Epidemic centrality and the underestimated epidemic impact on network peripheral nodes CoRR Mile Sikic, Alen Lancic, Nino Antulov-Fantulin, Hrvoje Stefancic