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 | 40 | 2018 |
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 | 20 | 2021 |
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 | 20 | 2019 |
Structack: Structure-based adversarial attacks on graph neural networks H Hussain, T Duricic, E Lex, D Helic, M Strohmaier, R Kern Proceedings of the 32nd ACM Conference on Hypertext and Social Media, 111-120, 2021 | 12 | 2021 |
My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music T Duricic, D Kowald, M Schedl, E Lex Proceedings of the 2021 IEEE/ACM International Conference on Advances in …, 2021 | 7 | 2021 |
Beyond-accuracy: a review on diversity, serendipity, and fairness in recommender systems based on graph neural networks T Duricic, D Kowald, E Lacic, E Lex Frontiers in Big Data 6, 1251072, 2023 | 5 | 2023 |
Empirical comparison of graph embeddings for trust-based collaborative filtering T Duricic, H Hussain, E Lacic, D Kowald, D Helic, E Lex Foundations of Intelligent Systems: 25th International Symposium, ISMIS 2020 …, 2020 | 4 | 2020 |
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 | 4 | 2019 |
The interplay between communities and homophily in semi-supervised classification using graph neural networks H Hussain, T Duricic, E Lex, D Helic, R Kern Applied Network Science 6, 1-26, 2021 | 3 | 2021 |
On the impact of communities on semi-supervised classification using graph neural networks H Hussain, T Duricic, E Lex, R Kern, D Helic Complex Networks & Their Applications IX: Volume 2, Proceedings of the Ninth …, 2021 | 3 | 2021 |
Design implications for explanations: A case study on supporting reflective assessment of potentially misleading videos O Inel, T Duricic, H Kaur, E Lex, N Tintarev Frontiers in artificial intelligence 4, 712072, 2021 | 2 | 2021 |
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 | 2 | 2021 |
PyChemFlow: an automated pre-processing pipeline in Python for reproducible machine learning on chemical data M Lovrić, T Đuričić, H Hussain, B Lučić, R Kern | 1 | 2023 |
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 | 1 | 2018 |
Uptrendz: API-Centric Real-Time Recommendations in Multi-domain Settings E Lacic, T Duricic, L Fadljevic, D Theiler, D Kowald European Conference on Information Retrieval, 255-261, 2023 | | 2023 |
Trust-based collaborative filtering T Duricic, E Lacic, D Kowald, E Lex Proceedings of the 12th ACM Conference on Recommender Systems, 2018 | | 2018 |
Stvarno-vremenske preporuke zasnovane na povjerenju T Đuričić University of Zagreb. Faculty of Electrical Engineering and Computing, 2015 | | 2015 |