Vít Novácek

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 25

Top Topics

Clinical Information

Unsupervised Classification

Graph Embedding

Top Venues

Briefings Bioinform.

Publications

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 (2024)
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 (2024)
Petr Zelina, Jana Halámková, Vít Novácek
Unsupervised extraction, classification and visualization of clinical note segments using the MIMIC-III dataset. BIBM (2023)
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)
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 (2023)
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 (2022)
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 (2022)
Petr Zelina, Jana Halámková, Vít Novácek
Unsupervised extraction, labelling and clustering of segments from clinical notes. CoRR (2022)
Mohan Timilsina, Samuele Bousi, Dirk Fey, Adrianna Janik, Maria Torrente, Mariano Provencio, Alberto Bermúdez, Enric Carcereny, Luca Costabello, Delvys 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)
Petr Zelina, Jana Halámková, Vít Novácek
Unsupervised extraction, labelling and clustering of segments from clinical notes. BIBM (2022)
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)
Sameh K. Mohamed, Emir Muñoz, Vít Novácek
On Training Knowledge Graph Embedding Models. Inf. 12 (4) (2021)
Sameh K. Mohamed, Aayah Nounu, Vít Novácek
Biological applications of knowledge graph embedding models. Briefings Bioinform. 22 (2) (2021)
Sameh K. Mohamed, Vít Novácek, Aayah Nounu
Discovering protein drug targets using knowledge graph embeddings. Bioinform. 36 (2) (2020)
Brian Walsh, Sameh K. Mohamed, Vít Novácek
BioKG: A Knowledge Graph for Relational Learning On Biological Data. CIKM (2020)
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)
Sameh K. Mohamed, Vít Novácek, Pierre-Yves Vandenbussche, Emir Muñoz
Loss Functions in Knowledge Graph Embedding Models. DL4KG@ESWC (2019)
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) (2019)
Sameh K. Mohamed, Vít Novácek
Link Prediction Using Multi Part Embeddings. ESWC (2019)
Sameh K. Mohamed, Aayah Nounu, Vít Novácek
Drug target discovery using knowledge graph embeddings. SAC (2019)
Raoul Biagioni, Pierre-Yves Vandenbussche, Vít Novácek
Finding Explanations of Entity Relatedness in Graphs: A Survey. CoRR (2018)
Sameh K. Mohamed, Vít Novácek, Pierre-Yves Vandenbussche
Knowledge base completion using distinct subgraph paths. SAC (2018)
Sameh K. Mohamed, Emir Muñoz, Vít Novácek, Pierre-Yves Vandenbussche
Identifying Equivalent Relation Paths in Knowledge Graphs. LDK (2017)
Pasquale Minervini, Luca Costabello, Emir Muñoz, Vít Novácek, Pierre-Yves Vandenbussche
Regularizing Knowledge Graph Embeddings via Equivalence and Inversion Axioms. ECML/PKDD (1) (2017)
Emir Muñoz, Vít Novácek, Pierre-Yves Vandenbussche
Using Drug Similarities for Discovery of Possible Adverse Reactions. AMIA (2016)
Vít Novácek
Formalising Hypothesis Virtues in Knowledge Graphs: A General Theoretical Framework and its Validation in Literature-Based Discovery Experiments. CoRR (2015)
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)
Yutaka Mitsuishi, Vít Novácek, Pierre-Yves Vandenbussche
A Method for Building Burst-Annotated Co-Occurrence Networks for Analysing Trends in Textual Data. LREC (2014)
Vít Novácek
A Methodology for Empirical Analysis of LOD Datasets. CoRR (2014)
Vít Novácek, Gully Burns
SKIMMR: machine-aided skim-reading. IUI Companion (2013)
Vít Novácek, Aisha Naseer
Linking the scientific and clinical data with KI2NA-LHC - An outline. CBMS (2013)
Vít Novácek, Aisha Naseer
Technical report: Linking the scientific and clinical data with KI2NA-LHC CoRR (2013)
Vít Novácek
Distributional Framework for Emergent Knowledge Acquisition and its Application to Automated Document Annotation CoRR (2012)
Vít Novácek, Siegfried Handschuh, Stefan Decker
Getting the Meaning Right: A Complementary Distributional Layer for the Web Semantics. ISWC (1) (2011)
Vít Novácek, Siegfried Handschuh
Biomedical Publication Knowledge Acquisition, Processing and Dissemination with CORAAL. OTM Conferences (2) (2010)
Vít Novácek, Tudor Groza, Siegfried Handschuh, Stefan Decker
CORAAL - Dive into publications, bathe in the knowledge. J. Web Semant. 8 (2-3) (2010)
Vít Novácek, Stefan Decker
Towards Lightweight and Robust Large Scale Emergent Knowledge Processing. ISWC (2009)
Vít Novácek, Tudor Groza, Siegfried Handschuh
Knowledge-based search for oncological literature. CBMS (2009)
Vít Novácek, Tudor Groza, Siegfried Handschuh
CORAAL - Towards Deep Exploitation of Textual Resources in Life Sciences. AIME (2009)
Vít Novácek
Relaxing the Basic KR&R Principles to Meet the Emergent Semantic Web! URSW (2008)
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) (2008)
Vít Novácek
EUREEKA: Deepening the Semantic Web by More Efficient Emergent Knowledge Representation and Processing. ISWC (Posters & Demos) (2008)
Vít Novácek
Inferential Ontology Learning. KWEPSY (2007)
Vít Novácek
Automatic Knowledge Acquisition and Integration Technique: Application to Large Scale Taxonomy Extraction and Document Annotation. ICEIS (Selected Papers) (2007)
Vít Novácek
Imprecise Empirical Ontology Refinement - Application to Taxonomy Acquisition. ICEIS (2) (2007)
Vít Novácek, Maciej Dabrowski, Sebastian Ryszard Kruk, Siegfried Handschuh
Extending Community Ontology Using Automatically Generated Suggestions. FLAIRS Conference (2007)
Vít Novácek, Pavel Smrz, Jan Pomikálek
Text Mining for Semantic Relations as a Support Base of a Scientific Portal Generator. LREC (2006)
Pavel Smrz, Vít Novácek
Ontology Acquisition for Automatic Building of Scientific Portals. SOFSEM (2006)
Vít Novácek, Pavel Smrz
Empirical Merging of Ontologies - A Proposal of Universal Uncertainty Representation Framework. ESWC (2006)
Vít Novácek, Pavel Smrz
OLE - A New Ontology Learning Platform. RANLP Text Mining Workshop (2005)