Vit Novacek
Vit Novacek
Faculty of Informatics, Masaryk University / Data Science Institute, NUI Galway
Verified email at - Homepage
Cited by
Cited by
Discovering protein drug targets using knowledge graph embeddings
SK Mohamed, V Nováček, A Nounu
Bioinformatics 36 (2), 603-610, 2020
Facilitating prediction of adverse drug reactions by using knowledge graphs and multi-label learning models
E Muńoz, V Nováček, PY Vandenbussche
Briefings in bioinformatics 20 (1), 190-202, 2019
Regularizing knowledge graph embeddings via equivalence and inversion axioms
P Minervini, L Costabello, E Muńoz, V Nováček, PY Vandenbussche
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
Biological applications of knowledge graph embedding models
SK Mohamed, A Nounu, V Nováček
Briefings in bioinformatics 22 (2), 1679-1693, 2021
Infrastructure for dynamic knowledge integration—Automated biomedical ontology extension using textual resources
V Nováček, L Laera, S Handschuh, B Davis
Journal of biomedical informatics 41 (5), 816-828, 2008
Semi-automatic integration of learned ontologies into a collaborative framework
V Novacek, S Handschuh
Loss Functions in Knowledge Graph Embedding Models.
SK Mohamed, V Novácek, PY Vandenbussche, E Muńoz
DL4KG@ ESWC 2377, 1-10, 2019
Using drug similarities for discovery of possible adverse reactions
E Muńoz, V Nováček, PY Vandenbussche
AMIA Annual Symposium Proceedings 2016, 924, 2016
Drug target discovery using knowledge graph embeddings
SK Mohamed, A Nounu, V Nováček
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 11-18, 2019
Empirical merging of ontologies—a proposal of universal uncertainty representation framework
V Nováček, P Smrž
European Semantic Web Conference, 65-79, 2006
Getting the meaning right: A complementary distributional layer for the web semantics
V Nováček, S Handschuh, S Decker
International Semantic Web Conference, 504-519, 2011
Material model calibration from planar tension tests on porcine linea alba
VA Santamaría, O Siret, P Badel, G Guerin, V Novacek, F Turquier, S Avril
Journal of the mechanical behavior of biomedical materials 43, 26-34, 2015
CORAAL—Dive into publications, bathe in the knowledge
V Nováček, T Groza, S Handschuh, S Decker
Web Semantics: Science, Services and Agents on the World Wide Web 8 (2-3 …, 2010
Predicting polypharmacy side-effects using knowledge graph embeddings
V Nováček, SK Mohamed
AMIA Summits on Translational Science Proceedings 2020, 449, 2020
Link prediction using multi part embeddings
SK Mohamed, V Nováček
European Semantic Web Conference, 240-254, 2019
Extending Community Ontology Using Automatically Generated Suggestions.
V Novácek, M Dabrowski, SR Kruk, S Handschuh
FLAIRS Conference, 290-296, 2007
CORAAL–Towards Deep Exploitation of Textual Resources in Life Sciences
V Nováček, T Groza, S Handschuh
Conference on Artificial Intelligence in Medicine in Europe, 206-215, 2009
Biokg: A knowledge graph for relational learning on biological data
B Walsh, SK Mohamed, V Nováček
Proceedings of the 29th ACM International Conference on Information …, 2020
Accurate prediction of kinase-substrate networks using knowledge graphs
V Nováček, G McGauran, D Matallanas, A Vallejo Blanco, P Conca, ...
PLoS computational biology 16 (12), e1007578, 2020
Knowledge base completion using distinct subgraph paths
SK Mohamed, V Nováček, PY Vandenbussche
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 1992-1999, 2018
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