Vit Novacek
Vit Novacek
Faculty of Informatics, Masaryk University / Masaryk Memorial Cancer Institute
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
Biological applications of knowledge graph embedding models
SK Mohamed, A Nounu, V Nováček
Briefings in bioinformatics 22 (2), 1679-1693, 2021
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
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
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
Loss Functions in Knowledge Graph Embedding Models.
SK Mohamed, V Novácek, PY Vandenbussche, E Muńoz
DL4KG@ ESWC 2377, 1-10, 2019
Predicting polypharmacy side-effects using knowledge graph embeddings
V Nováček, SK Mohamed
AMIA Summits on Translational Science Proceedings 2020, 449, 2020
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
Using drug similarities for discovery of possible adverse reactions
E Muńoz, V Nováček, PY Vandenbussche
AMIA Annual Symposium Proceedings 2016, 924, 2016
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 Novácek, L Laera, S Handschuh
International Workshop on Ontology Dynamics (IWOD-07), 13, 2007
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
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
An artificial intelligence-based tool for data analysis and prognosis in cancer patients: results from the clarify study
M Torrente, PA Sousa, R Hernández, M Blanco, V Calvo, A Collazo, ...
Cancers 14 (16), 4041, 2022
CORAAL-Dive into publications, bathe in the knowledge.
V Novácek, T Groza, S Handschuh, S Decker
J. Web Semant. 8 (2-3), 176-181, 2010
Link prediction using multi part embeddings
SK Mohamed, V Nováček
The Semantic Web: 16th International Conference, ESWC 2019, Portorož …, 2019
Extending Community Ontology Using Automatically Generated Suggestions.
V Novácek, M Dabrowski, SR Kruk, S Handschuh
FLAIRS, 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
Machine learning–assisted recurrence prediction for patients with early-stage non–small-cell lung cancer
A Janik, M Torrente, L Costabello, V Calvo, B Walsh, C Camps, ...
JCO Clinical Cancer Informatics 7, e2200062, 2023
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