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Tomislav Đuričić
Tomislav Đuričić
University Assistant, Know-Center and Graz University of Technology
Adresse e-mail validée de tugraz.at - Page d'accueil
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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
422018
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
282021
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
232019
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
172021
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
132021
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
122023
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
52021
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
42020
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
42019
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
32023
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
32021
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
32021
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
22021
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
AI-Powered Immersive Assistance for Interactive Task Execution in Industrial Environments
T Duricica, P Müllnera, N Weidingera, N ElSayeda, D Kowalda, E Veasa
environment 28, 2, 2024
2024
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
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