Tomislav Đuričić
Title
Cited by
Cited by
Year
Trust-based collaborative filtering: Tackling the cold start problem using regular equivalence
T Duricic, E Lacic, D Kowald, E Lex
Proceedings of the 12th ACM Conference on Recommender Systems, 446-450, 2018
192018
Should we embed? A study on the online performance of utilizing embeddings for real-time job recommendations
E Lacic, M Reiter-Haas, T Duricic, V Slawicek, E Lex
Proceedings of the 13th ACM Conference on Recommender Systems, 496-500, 2019
32019
On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networks
H Hussain, T Duricic, E Lex, R Kern, D Helic
International Conference on Complex Networks and Their Applications, 15-26, 2020
12020
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering
T Duricic, H Hussain, E Lacic, D Kowald, D Helic, E Lex
International Symposium on Methodologies for Intelligent Systems, 181-191, 2020
12020
Gone in 30 days! Predictions for car import planning
E Lacic, M Traub, T Duricic, E Haslauer, E Lex
IT-Information technology 60 (4), 219-228, 2018
12018
Cross-platform analysis of user comments in YouTube videos linked on Reddit conspiracy theory forum
T Duricic, V Seiser, E Lex
arXiv preprint arXiv:2109.01127, 2021
2021
Should We Embed in Chemistry? A Comparison of Unsupervised Transfer Learning with PCA, UMAP, and VAE on Molecular Fingerprints
M Lovrić, T Đuričić, HTN Tran, H Hussain, E Lacić, MA Rasmussen, ...
Pharmaceuticals 14 (8), 758, 2021
2021
Structack: Structure-based Adversarial Attacks on Graph Neural Networks
H Hussain, T Duricic, E Lex, D Helic, M Strohmaier, R Kern
arXiv preprint arXiv:2107.11327, 2021
2021
Exploiting weak ties in trust-based recommender systems using regular equivalence
T Duricic, E Lacic, D Kowald, E Lex
arXiv preprint arXiv:1907.11620, 2019
2019
Stvarno-vremenske preporuke zasnovane na povjerenju
T Đuričić
University of Zagreb. Faculty of Electrical Engineering and Computing, 2015
2015
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