Výpis publikací

ZELINA, Petr; Marko ŘEHÁČEK; Jana HALÁMKOVÁ; Lucia BOHOVICOVÁ; Martin RUSINKO a Vít NOVÁČEK. Computing Patient Similarity Based on Unstructured Clinical Notes. In Text, Speech, and Dialogue (TSD 2025). Erlangen, Germany: Springer-Verlag GmbH, 2026, s. 140-152. ISBN 978-3-032-02550-0. Dostupné z: https://doi.org/10.1007/978-3-032-02551-7_13.

KACOVÁ, Radoslava; Tomáš HOUFEK; Ondřej HORKÝ; Radovan TOMÁŠIK; Jan KURÁŇ; Michal RŮŽIČKA; Roman HRSTKA; Vít NOVÁČEK a Zdenka DUDOVÁ. Integration, Cataloguing and Management of Biobanking and Clinical Data Using FAIR Genomes Metadata Schema. Data Intelligence. MIT Press, 2025, roč. 2025, č. 1, s. 163-184. ISSN 2096-7004. Dostupné z: https://doi.org/10.3724/2096-7004.di.2025.0005.

TIMILSINA, Mohan; Samuele BUOSI; Maria TORRENTE; Mariano PROVENCIO; Manuel COBO; Delvys Rodriguez ABREU; Rafael Lopez CASTRO; Enric CARCERENY; Edward CURRY a Vít NOVACEK. Large language model vs. traditional machine learning: Evaluating predictive models for early detection of tumor relapse. EXPERT SYSTEMS WITH APPLICATIONS. OXFORD: PERGAMON-ELSEVIER SCIENCE LTD, 2025, roč. 283, č. 127641, s. 1-13. ISSN 0957-4174. Dostupné z: https://doi.org/10.1016/j.eswa.2025.127641.

BUOSI, Samuele; Mohan TIMILSINA; Maria TORRENTE; Mariano PROVENCIO; Dirk FEY a Vít NOVÁČEK. Boosting predictive models and augmenting patient data with relevant genomic and pathway information. Computers in Biology and Medicine. Pergamon-Elsevier Science Press, 2024, roč. 174, č. 108398, s. 1-9. ISSN 0010-4825. Dostupné z: https://doi.org/10.1016/j.compbiomed.2024.108398.

BUOSI, Samuele; Mohan TIMILSINA; Adriann JANIK; Luca COSTABELLO; Maria TORRENTE; Mariano PROVENCIO; Dirk FEY a Vít NOVÁČEK. Machine learning estimated probability of relapse in early-stage non-small-cell lung cancer patients with aneuploidy imputation scores and knowledge graph embeddings. Expert Systems with Applications. Elsevier, 2024, roč. 235, č. 121127, s. 1-8. ISSN 0957-4174. Dostupné z: https://doi.org/10.1016/j.eswa.2023.121127.

ŘEHÁČEK, Marko; Vít NOVÁČEK; Daniel PLAKINGER; Matej DIPČÁR; Petr ZELINA; Tomáš HOUFEK; David RUSNÁK a Markéta KŘENKOVÁ. Onkorádce. 2024.

NOVÁČEK, Vít a Marko ŘEHÁČEK. Zpracování klinických dat pomocí umělé inteligence – současná situace a výhledy do budoucna. In Brněnské onkologické dny. 2024.

NOVACEK, Vít. Curing Cancer with Knowledge Graphs (and other Outrageous Ideas). In Knowledge Graphs and Semantic Computing Series at University of Illinois Urbana-Champaign. 2023.

ZELINA, Petr; Jana HALÁMKOVÁ a Vít NOVÁČEK. Extraction, labeling, clustering, and semantic mapping of segments from clinical notes. IEEE TRANSACTIONS ON NANOBIOSCIENCE. UNITED STATES: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2023, roč. 22, č. 4, s. 781-788. ISSN 1536-1241. Dostupné z: https://doi.org/10.1109/TNB.2023.3275195.

TIMILSINA, Mohan; Samuele BUOSI; Adrianna JANIK; Pasquale MINERVINI; Luca COSTABELLO; Maria TORRENTE; Mariano PROVENCIO; Virginia CALVO; Carlos CAMPS; Ana L ORTEGA; Bartomeu MASSUTI; Rosario Garcia M. CAMPELO; del Barco EDEL; Joaquim BOSCH-BARRERA a Vít NOVÁČEK. Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient. Online. In 2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN. Broadbeach, Australia: IEEE, 2023, s. 1-8. ISBN 978-1-6654-8867-9. Dostupné z: https://doi.org/10.1109/IJCNN54540.2023.10191078.

JANIK, Adrianna; Maria TORRENTE; Luca COSTABELLO; Virginia CALVO; Brian WALSH; Carlos CAMPS; Sameh K MOHAMED; Ana L ORTEGA; Vít NOVÁČEK; Bartomeu MASSUTÍ; Pasquale MINERVINI; M Rosario GARCIA CAMPELO; Edel del BARCO; Joaquim BOSCH-BARRERA; Ernestina MENASALVAS; Mohan TIMILSINA a Mariano PROVENCIO. Machine Learning–Assisted Recurrence Prediction for Patients With Early-Stage Non–Small-Cell Lung Cancer. JCO CLINICAL CANCER INFORMATICS. UNITED STATES: LIPPINCOTT WILLIAMS & WILKINS, 2023, roč. 7, e2200062, s. 1-11. ISSN 2473-4276. Dostupné z: https://doi.org/10.1200/CCI.22.00062.

TIMILSINA, Mohan; Dirk FEY; Samuele BUOSI; Adrianna JANIK; Luca COSTABELLO; Enric CARCERENY; Delvys Rodrıguez ABREU; Manuel COBO; Rafael López CASTRO; Reyes BERNABÉ; Pasquale MINERVINI; Maria TORRENTE; Mariano PROVENCIO a Vít NOVÁČEK. Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer. Journal for Biomedical Informatics. Elsevier, 2023, roč. 144, č. 104424, s. 1-12. ISSN 1532-0464. Dostupné z: https://doi.org/10.1016/j.jbi.2023.104424.

ZELINA, Petr; Jana HALÁMKOVÁ a Vít NOVÁČEK. Unsupervised extraction, classification and visualization of clinical note segments using the MIMIC-III dataset. Online. In Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Istanbul: IEEE, 2023, s. 4172-4178. ISBN 979-8-3503-3748-8. Dostupné z: https://doi.org/10.1109/BIBM58861.2023.10385342.

NOVACEK, Vít; Marko ŘEHÁČEK; Petr ZELINA a Jana HALÁMKOVÁ. AI for Cancer Patient Empowerment - Interim Results of the AIcope Project. 2022.

TORRENTE, María; Pedro A SOUSA; Roberto HERNÁNDEZ; Mariola BLANCO; Virginia Calvo Ana COLLAZO; Gracinda R GUERREIRO; Beatriz NÚÑEZ; Joao PIMENTAO; Juan Cristóbal SÁNCHEZ; Manuel CAMPOS; Luca COSTABELLO; Vít NOVÁČEK; Ernestina MENASALVAS; María Esther VIDAL; Mariano PROVENCIO a Virginia CALVO. An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients: Results from the Clarify Study. CANCERS. SWITZERLAND: MDPI, 2022, roč. 14, č. 16, s. 1-10. ISSN 2072-6694. Dostupné z: https://doi.org/10.3390/cancers14164041.

TIMILSINA, Mohan; Vít NOVÁČEK; Mathieu DAQUIN a Haixuan YANG. Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding. NEURAL NETWORKS. ENGLAND: PERGAMON-ELSEVIER SCIENCE LTD, 2022, roč. 156, č. 1, s. 205-217. ISSN 0893-6080. Dostupné z: https://doi.org/10.1016/j.neunet.2022.10.005.

TIMILSINA, Mohan; Dirk FEY; Adrianna JANIK; Maria TORRENTE; Mariano PROVENCIO; Alberto Cruz BERMUDEZ; Enric CARCERENY; Luca COSTABELLO; Delvys Rodrıguez ABREU; Manuel COBO; Rafael Lopez CASTRO; Reyes BERNABE; Maria GUIRADO; Pasquale MINERVINI a Vít NOVÁČEK. Integration of Medical and Genomic Information to Enhance Relapse Prediction in Early Stage Lung Cancer Patients. Online. In Proceedings of the Annual Symposium of the American Medical Informatics Association. Washington, USA: AMIA, 2022, s. 1082-1091. ISSN 1559-4076.

TIMILSINA, Mohan; Meera TANDAN a Vít NOVÁČEK. Machine learning approaches for predicting the onset time of the adverse drug events in oncology. Machine Learning with Applications. Elsevier, 2022, roč. 9, č. 100367, s. 1-14. ISSN 2666-8270. Dostupné z: https://doi.org/10.1016/j.mlwa.2022.100367.

ZELINA, Petr a Vít NOVÁČEK. Predikce průběhu onkologické léčby na základě podobností pacientek vypočítaných z jejich klinických zpráv. In Brněnské onkologické dny. 2022.

ZELINA, Petr; Jana HALÁMKOVÁ a Vít NOVÁČEK. Unsupervised extraction, labelling and clustering of segments from clinical notes. Online. In Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM). USA: IEEE, 2022, s. 1362-1368. ISBN 978-1-6654-6820-6. Dostupné z: https://doi.org/10.1109/BIBM55620.2022.9995229.

MOHAMED, Sameh K; Ayah NOUNU a Vít NOVÁČEK. Biological applications of knowledge graph embedding models. Briefings in Bioinformatics. Oxford (UK): Oxford University Press, 2021, roč. 22, č. 2, s. 1679-1693. ISSN 1467-5463. Dostupné z: https://doi.org/10.1093/bib/bbaa012.

MOHAMED, Sameh K.; Brian WALSH; Mohan TIMILSINA; Maria TORRENTE; Fabio FRANCO; Mariano PROVENCIO; Adrianna JANIK; Luca COSTABELLO; Pasquale MINERVINI; Pontus STENETORP a Vít NOVÁČEK. On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer. Online. In Adam B. Wilcox, Randi Foraker, Kensaku Kawamoto, Yves A. Lussier, Nadine McCleary. Proceedings of AMIA 2021 Annual Symposium. San Diego: AMIA, 2021, s. 853-862. ISSN 1942-597X.

MOHAMED, Sameh K; Vít NOVACEK a Emir MUNOZ. On Training Knowledge Graph Embedding Models. Information. Switzerland: MDPI, 2021, roč. 12, č. 4, s. 147-165. ISSN 2078-2489. Dostupné z: https://doi.org/10.3390/info12040147.

TORRENTE, M.; F. FRANCO; V. CALVO; A. Collazo LORDUY; E. MENASALVAS; M. E. VIDAL; P. SOUSA; J. PIMENTAO; Vít NOVÁČEK; P. MINERVINI; D. FEY; L. COSTABELLO; M. POCS a M. PROVENCIO. P08. 01 Building Personalized Follow-Up Care Through AI by Bringing the Lung Cancer Patient, Data Scientist and Oncologist Together. Journal of Thoracic Oncology. Elsevier, 2021, roč. 16, č. 10, s. 991-992. ISSN 1556-1380. Dostupné z: https://doi.org/10.1016/j.jtho.2021.08.294.

NOVÁČEK, Vít; Gavin MCGAURAN; David MATALLANAS; Adrián Vallejo BLANCO; Piero CONCA; Emir MUÑOZ; Luca COSTABELLO; Kamalesh KANAKARAJ; Zeeshan NAWAZ; Brian WALSH; Sameh K MOHAMED; Pierre-Yves VANDENBUSSCHE; Colm J RYAN; Walter KOLCH a Dirk FEY. Accurate prediction of kinase-substrate networks using knowledge graphs. PLoS Computational Biology. Cambridge: PLoS, 2020, roč. 16, č. 12, s. 1-30. ISSN 1553-734X. Dostupné z: https://doi.org/10.1371/journal.pcbi.1007578.

WALSH, Brian; Sameh K MOHAMED a Vít NOVÁČEK. Biokg: A knowledge graph for relational learning on biological data. Online. In Mathieu d'Aquin, Stefan Dietze, Claudia Hauff, Edward Curry, Philippe Cudre Mauroux. Proceedings of the 29th ACM International Conference on Information & Knowledge Management. New YorkNYUnited States: Association for Computing Machinery, 2020, s. 3173-3180. ISBN 978-1-4503-6859-9. Dostupné z: https://doi.org/10.1145/3340531.3412776.

NOVÁČEK, Vít. Automatic Knowledge Acquisition and Integration Technique: Application to Large Scale Taxonomy Extraction and Document Annotation. In Enterprise Information Systems (ICEIS 2007, revised selected papers). Berlin/Heidelberg: Springer-Verlag, 2008, s. 160-172. IX. ISSN 1865-1348.

NOVÁČEK, Vít; Loredana LAERA; Siegfried HANDSCHUH a Brian DAVIS. Infrastructure for Dynamic Knowledge Integration -- Automated Biomedical Ontology Extension Using Textual Resources. Journal of Biomedical Informatics. Amsterdam: Elsevier, 2008, roč. 41, č. 5, s. 816-828, 12 s. ISSN 1532-0464.

NOVÁČEK, Vít. A Non-traditional Inference Paradigm for Learned Ontologies. In Proceedings of ESWC 2007 PhD Symposium. Innsbruck: CEUR Workshop Proceedings, 2007, s. 57-62. ISSN 1613-0073.

NOVÁČEK, Vít; Loredana LAERA a Siegfried HANDSCHUH. Aiding the Data Integration in Medicinal Settings by Means of Semantic Technologies. In Making Semantics Work for Business. Vienna: Semantic Technology Institutes International, 2007, s. 10-15.

NOVÁČEK, Vít; Loredana LAERA a Siegfried HANDSCHUH. Dynamic Integration of Medical Ontologies in Large Scale. In Proceedings of WWW2007/HCLSDI. New York: ACM Press, 2007, s. 2-11. ISBN 978-1-59593-654-7.

NOVÁČEK, Vít; Siegfried HANDSCHUH; Loredana LAERA; Diana MAYNARD a Max VOELKEL. Dynamic Ontology Lifecycle Scenario in Translational Medicine. In Proceedings of the 5th European Conference of Computational Biology (ECCB 2006) - Book of Abstracts. Oxford: Oxford University Press, 2007, s. 22-26. ISSN 1460-2059.

NOVÁČEK, Vít. D2.3.8v2 Report and Prototype of Dynamics in the Ontology Lifecycle. Innsbruck, Austria: Knowledge Web EU NoE, 2007, 85 s. Knowledge Web EU NoE deliverable D2.3.8v2.

NOVÁČEK, Vít. D2.3.9 Theoretical Aspects for Ontology Lifecycle. Innsbruck, Austria: Knowledge Web EU NoE, 2007, 51 s. Knowledge Web EU NoE deliverable D2.3.9.

NOVÁČEK, Vít; Maciej DABROWSKI; Sebastian R. KRUK a Siegfried HANDSCHUH. Extending Community Ontology Using Automatically Generated Suggestions. In Proceedings of FLAIRS 2007. Menlo Park, CA: AAAI Press, 2007, s. 290-295. ISBN 978-1-57735-319-5.

NOVÁČEK, Vít. Imprecise Empirical Ontology Refinement: Application to Taxonomy Acquisition. In Proceedings of ICEIS 2007, vol. Artificial Intelligence and Decision Support Systems. Portugal: INSTICC, 2007, s. 31-38. ISBN 978-972-8865-89-4.

NOVÁČEK, Vít; Loredana LAERA a Siegfried HANDSCHUH. Semi-automatic Integration of Learned Ontologies into a Collaborative Framework. In Proceedings of IWOD/ESWC 2007. Innsbruck: Springer Verlag, 2007, s. 13-26.

NOVÁČEK, Vít a Pavel SMRŽ. Empirical Merging of Ontologies A Proposal of Universal Uncertainty Representation Framework. In The Semantic Web: Research and Applications (Lecture notes in Computer Science 4011 / 2006 - Proceedings of ESWC'06 - 3rd European Semantic Web Conference). Berlin: Springer Verlag, 2006, s. 65-79, 14 s. ISBN 3-540-34544-2.

NOVÁČEK, Vít. Motivations of Extensive Incorporation of Uncertainty in OLE Ontologies. In SOFSEM 2006: Theory and Practice of Computer Science: 32nd Conference on Current Trends in Theory and Practice of Computer Science. Student Research Forum Proceedings. Prague: Institute of Computer Science, Academy of Sciences of the Czech Republic, 2006, s. 145-154. ISBN 80-903298-4-5.

NOVÁČEK, Vít a Pavel SMRŽ. Ontology Acquisition for Automatic Building of Scientific Portals. In Lecture Notes in Computer Science 3831. Berlin: Springer, 2006, s. 493-500. ISBN 3-540-31198-X.

NOVÁČEK, Vít. Ontology Acquisition Supported by Imprecise Conceptual Refinement - New Results and Reasoning Perspectives. In Inteligentní modely, algoritmy, metody a nástroje pro vytváření sémantického webu. Praha: Ústav informatiky AV ČR, 2006, s. 91-101, 10 s. ISBN 80-903298-7-X.

NOVÁČEK, Vít. Ontology Learning. Brno: Faculty of Informatics, Masaryk University, 2006, 65 s. Diploma Thesis.

NOVÁČEK, Vít; Siegfried HANDSCHUH; Diana MAYNARD; Loredana LAERA; Sebastian KRUK; Max VOELKEL; Tudor GROZA a Valentina TAMMA. Report and Prototype of Dynamics in the Ontology Lifecycle. Galway, Ireland: Knowledge Web, 2006, 49 s. D2.3.8v1.

NOVÁČEK, Vít; Pavel SMRŽ a Jan POMIKÁLEK. Text Mining for Semantic Relations as a Support Base of a Scientific Portal Generator. In Proceedings of LREC 2006 - 5th International Conference on Language Resources and Evaluation. Paris: ELRA, 2006, s. 1338-1343. ISBN 2-9517408-2-4.

NOVÁČEK, Vít a Pavel SMRŽ. BOLE - A New Bio-Ontology Learning Platform. In Proceedings of International Workshop on Biomedical Ontologies and Text Processing (held in conjunction with 4th European Conference on Computational Biology). Madrid: INB, 2005, s. 36-39.

NOVÁČEK, Vít a Pavel SMRŽ. OLE - A New Ontology Learning Platform. In International Workshop on Text Mining Research, Practice and Opportunities - Proceedings. Shoumen, Bulgaria: Incoma Ltd., 2005, s. 12-16. ISBN 954-91743-1-X.

NOVÁČEK, Vít. Implementace lexikálních pravidel v Prologu: Systém pro vzájmený převod českých vět v aktivní a pasivní formě. Brno: Fakulta informatiky, Masarykova univerzita, 2004, 48 s.

NOVÁČEK, Vít. Od rovných práv k dekonstrukci: Feminismus a perspektivy poststrukturalismu. Brno: Fakulta sociálních studií, Masarykova univerzita, 2003, 57 s.

NOVÁČEK, Vít. Specifika online žurnalistiky. Brno: Fakulta sociálních studií, Masarykova univerzita, 2002, 46 s.