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Vít Novácek
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2020 – today
- 2024
- [j11]Samuele Buosi, Mohan Timilsina, Maria Torrente, Mariano Provencio, Dirk Fey, Vít Novácek:
Boosting predictive models and augmenting patient data with relevant genomic and pathway information. Comput. Biol. Medicine 174: 108398 (2024) - [j10]Samuele Buosi, Mohan Timilsina, Adrianna Janik, Luca Costabello, Maria Torrente, Mariano Provencio, Dirk Fey, Vít Novácek:
Machine learning estimated probability of relapse in early-stage non-small-cell lung cancer patients with aneuploidy imputation scores and knowledge graph embeddings. Expert Syst. Appl. 235: 121127 (2024) - 2023
- [j9]Mohan Timilsina, Dirk Fey, Samuele Buosi, Adrianna Janik, Luca Costabello, Enric Carcereny, Delvys Rodriguez Abreu, Manuel Cobo, Rafael Castro, Reyes Bernabé, Pasquale Minervini, Maria Torrente, Mariano Provencio, Vít Novácek:
Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer. J. Biomed. Informatics 144: 104424 (2023) - [c32]Petr Zelina, Jana Halámková, Vít Novácek:
Unsupervised extraction, classification and visualization of clinical note segments using the MIMIC-III dataset. BIBM 2023: 4172-4178 - [c31]Mohan Timilsina, Samuele Buosi, Adrianna Janik, Pasquale Minervini, Luca Costabello, Maria Torrente, Mariano Provencio, Virginia Calvo, Carlos Camps, Ana L. Ortega, Bartomeu Massutí, M. Rosario Garcia Campelo, Edel del Barco, Joaquim Bosch-Barrera, Vít Novácek:
Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient. IJCNN 2023: 1-8 - 2022
- [j8]Mohan Timilsina, Vít Novácek, Mathieu d'Aquin, Haixuan Yang:
Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding. Neural Networks 156: 205-217 (2022) - [c30]Mohan Timilsina, Samuele Bousi, Dirk Fey, Adrianna Janik, Maria Torrente, Mariano Provencio, Alberto Bermúdez, Enric Carcereny, Luca Costabello, Delvys Rodriguez Abreu, Manuel Cobo, Rafael Castro, Reyes Bernabé, Maria Guirado, Pasquale Minervini, Vít Novácek:
Integration of Clinical Information and Imputed Aneuploidy Scores to Enhance Relapse Prediction in Early Stage Lung Cancer Patients. AMIA 2022 - [c29]Petr Zelina, Jana Halámková, Vít Novácek:
Unsupervised extraction, labelling and clustering of segments from clinical notes. BIBM 2022: 1362-1368 - [i7]Adrianna Janik, Maria Torrente, Luca Costabello, Virginia Calvo, Brian Walsh, Carlos Camps, Sameh K. Mohamed, Ana L. Ortega, Vít Novácek, Bartomeu Massutí, Pasquale Minervini, M. Rosario Garcia Campelo, Edel del Barco, Joaquim Bosch-Barrera, Ernestina Menasalvas, Mohan Timilsina, Mariano Provencio:
Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients. CoRR abs/2211.09856 (2022) - [i6]Petr Zelina, Jana Halámková, Vít Novácek:
Unsupervised extraction, labelling and clustering of segments from clinical notes. CoRR abs/2211.11799 (2022) - 2021
- [j7]Sameh K. Mohamed, Aayah Nounu, Vít Novácek:
Biological applications of knowledge graph embedding models. Briefings Bioinform. 22(2): 1679-1693 (2021) - [j6]Sameh K. Mohamed, Emir Muñoz, Vít Novácek:
On Training Knowledge Graph Embedding Models. Inf. 12(4): 147 (2021) - [c28]Sameh K. Mohamed, Brian Walsh, Mohan Timilsina, Vít Novácek, Maria Torrente, Fabio Franco, Mariano Provencio, Adrianna Janik, Luca Costabello, Pontus Stenetorp, Pasquale Minervini:
On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer. AMIA 2021 - 2020
- [j5]Sameh K. Mohamed, Vít Novácek, Aayah Nounu:
Discovering protein drug targets using knowledge graph embeddings. Bioinform. 36(2): 603-610 (2020) - [j4]Vít Novácek, 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, Dirk Fey:
Accurate prediction of kinase-substrate networks using knowledge graphs. PLoS Comput. Biol. 16(12) (2020) - [c27]Brian Walsh, Sameh K. Mohamed, Vít Novácek:
BioKG: A Knowledge Graph for Relational Learning On Biological Data. CIKM 2020: 3173-3180
2010 – 2019
- 2019
- [j3]Emir Muñoz, Vít Novácek, Pierre-Yves Vandenbussche:
Facilitating prediction of adverse drug reactions by using knowledge graphs and multi-label learning models. Briefings Bioinform. 20(1): 190-202 (2019) - [c26]Sameh K. Mohamed, Vít Novácek, Pierre-Yves Vandenbussche, Emir Muñoz:
Loss Functions in Knowledge Graph Embedding Models. DL4KG@ESWC 2019: 1-10 - [c25]Sameh K. Mohamed, Vít Novácek:
Link Prediction Using Multi Part Embeddings. ESWC 2019: 240-254 - [c24]Sameh K. Mohamed, Aayah Nounu, Vít Novácek:
Drug target discovery using knowledge graph embeddings. SAC 2019: 11-18 - [e2]Ali Hasnain, Vít Novácek, Michel Dumontier, Dietrich Rebholz-Schuhmann:
Proceedings of the Workshop on Semantic Web Solutions for Large-Scale Biomedical Data Analytics co-located with 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October 27th, 2019. CEUR Workshop Proceedings 2477, CEUR-WS.org 2019 [contents] - 2018
- [c23]Sameh K. Mohamed, Vít Novácek, Pierre-Yves Vandenbussche:
Knowledge base completion using distinct subgraph paths. SAC 2018: 1992-1999 - [i5]Raoul Biagioni, Pierre-Yves Vandenbussche, Vít Novácek:
Finding Explanations of Entity Relatedness in Graphs: A Survey. CoRR abs/1809.07685 (2018) - 2017
- [c22]Sameh K. Mohamed, Emir Muñoz, Vít Novácek, Pierre-Yves Vandenbussche:
Identifying Equivalent Relation Paths in Knowledge Graphs. LDK 2017: 299-314 - [c21]Pasquale Minervini, Luca Costabello, Emir Muñoz, Vít Novácek, Pierre-Yves Vandenbussche:
Regularizing Knowledge Graph Embeddings via Equivalence and Inversion Axioms. ECML/PKDD (1) 2017: 668-683 - 2016
- [c20]Emir Muñoz, Vít Novácek, Pierre-Yves Vandenbussche:
Using Drug Similarities for Discovery of Possible Adverse Reactions. AMIA 2016 - 2015
- [i4]Vít Novácek:
Formalising Hypothesis Virtues in Knowledge Graphs: A General Theoretical Framework and its Validation in Literature-Based Discovery Experiments. CoRR abs/1503.09137 (2015) - 2014
- [c19]Yutaka Mitsuishi, Vít Novácek, Pierre-Yves Vandenbussche:
A Method for Building Burst-Annotated Co-Occurrence Networks for Analysing Trends in Textual Data. LREC 2014: 3742-3747 - [c18]Suad Aldarra, Emir Muñoz, Pierre-Yves Vandenbussche, Vít Novácek:
SemanTex: Semantic Text Exploration Using Document Links Implied by Conceptual Networks Extracted from the Texts. ISWC (Posters & Demos) 2014: 345-348 - [i3]Vít Novácek:
A Methodology for Empirical Analysis of LOD Datasets. CoRR abs/1406.1061 (2014) - 2013
- [c17]Vít Novácek, Aisha Naseer:
Linking the scientific and clinical data with KI2NA-LHC - An outline. CBMS 2013: 540-541 - [c16]Vít Novácek, Gully Burns:
SKIMMR: machine-aided skim-reading. IUI Companion 2013: 59-60 - [i2]Vít Novácek, Aisha Naseer:
Technical report: Linking the scientific and clinical data with KI2NA-LHC. CoRR abs/1304.6473 (2013) - 2012
- [e1]Tudor Groza, Dimitris Plexousakis, Vít Novácek:
Proceedings of the 2nd Joint Workshop on Knowledge Evolution and Ontology Dynamics, Boston, MA, USA, November 12, 2012. CEUR Workshop Proceedings 890, CEUR-WS.org 2012 [contents] - [i1]Vít Novácek:
Distributional Framework for Emergent Knowledge Acquisition and its Application to Automated Document Annotation. CoRR abs/1210.3241 (2012) - 2011
- [c15]Vít Novácek, Siegfried Handschuh, Stefan Decker:
Getting the Meaning Right: A Complementary Distributional Layer for the Web Semantics. ISWC (1) 2011: 504-519 - 2010
- [j2]Vít Novácek, Tudor Groza, Siegfried Handschuh, Stefan Decker:
CORAAL - Dive into publications, bathe in the knowledge. J. Web Semant. 8(2-3): 176-181 (2010) - [c14]Vít Novácek, Siegfried Handschuh:
Biomedical Publication Knowledge Acquisition, Processing and Dissemination with CORAAL. OTM Conferences (2) 2010: 1126-1144 - [p1]Vít Novácek, Tudor Groza, Siegfried Handschuh:
Towards Knowledge-Based Life Science Publication Repositories. Semantic e-Science 2010: 309-345
2000 – 2009
- 2009
- [c13]Vít Novácek, Tudor Groza, Siegfried Handschuh:
CORAAL - Towards Deep Exploitation of Textual Resources in Life Sciences. AIME 2009: 206-215 - [c12]Vít Novácek, Tudor Groza, Siegfried Handschuh:
Knowledge-based search for oncological literature. CBMS 2009: 1-8 - [c11]Vít Novácek, Stefan Decker:
Towards Lightweight and Robust Large Scale Emergent Knowledge Processing. ISWC 2009: 456-472 - 2008
- [j1]Vít Novácek, Loredana Laera, Siegfried Handschuh, Brian Davis:
Infrastructure for dynamic knowledge integration - Automated biomedical ontology extension using textual resources. J. Biomed. Informatics 41(5): 816-828 (2008) - [c10]Vít Novácek:
EUREEKA: Deepening the Semantic Web by More Efficient Emergent Knowledge Representation and Processing. ISWC (Posters & Demos) 2008 - [c9]Vít Novácek:
Relaxing the Basic KR&R Principles to Meet the Emergent Semantic Web! URSW 2008 - 2007
- [c8]Vít Novácek:
Inferential Ontology Learning. KWEPSY 2007 - [c7]Vít Novácek, Maciej Dabrowski, Sebastian Ryszard Kruk, Siegfried Handschuh:
Extending Community Ontology Using Automatically Generated Suggestions. FLAIRS 2007: 290-296 - [c6]Vít Novácek:
Imprecise Empirical Ontology Refinement - Application to Taxonomy Acquisition. ICEIS (2) 2007: 31-38 - [c5]Vít Novácek:
Automatic Knowledge Acquisition and Integration Technique: Application to Large Scale Taxonomy Extraction and Document Annotation. ICEIS (Selected Papers) 2007: 160-172 - 2006
- [c4]Vít Novácek, Pavel Smrz:
Empirical Merging of Ontologies - A Proposal of Universal Uncertainty Representation Framework. ESWC 2006: 65-79 - [c3]Vít Novácek, Pavel Smrz, Jan Pomikálek:
Text Mining for Semantic Relations as a Support Base of a Scientific Portal Generator. LREC 2006: 1338-1343 - [c2]Pavel Smrz, Vít Novácek:
Ontology Acquisition for Automatic Building of Scientific Portals. SOFSEM 2006: 493-500 - 2005
- [c1]Vít Novácek, Pavel Smrz:
OLE - A New Ontology Learning Platform. RANLP Text Mining Workshop 2005: 12-16
Coauthor Index
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last updated on 2024-06-10 20:32 CEST by the dblp team
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