News coverage of our publication: High-Resolution Directed Human Connectomes and the Consensus Connectome Dynamics
Television report, broadcasted on May 4, 2019, in “Multiverzum” Online articles:
Category Archives: Uncategorized
News coverage of our publication: MetaHMM: A Webserver for Identifying Novel Genes with Specified Functions in Metagenomic Samples
Television report, broadcasted on November 3, 2018, in Novum TV “Hello Tomorrow”: Online articles:
News coverage of our publication: Mapping Correlations of Psychological and Connectomical Properties of the Dataset of the Human Connectome Project with the Maximum Spanning Tree Method:
https://www.elte.hu/content/pszichologiai-sajatossagok-es-agyi-strukturak.t.17119 or cached version http://www.ng.hu/Tudomany/2018/08/11/Pszichologiai-sajatossagok-es-agyi-strukturak or cached version
News coverage of our publication: SECLAF: A Webserver and Deep Neural Network Design Tool for Hierarchical Biological Sequence Classification:
Television report, broadcasted on April 3, 2018, in the magazine “Tudomány minden napra”:
News coverage of our publication: The Robustness and the Doubly-Preferential Attachment Simulation of the Consensus Connectome Dynamics of the Human Brain (in Hungarian):
Television report, broadcasted on December 8, 2017 on the first channel of the Hungarian Television, in the “Minden Tudás” magazine:
News coverage of our publication Comparative Connectomics
News coverage of our publication Comparative Connectomics (in Hungarian):
News coverage of our publication: Identifying Combinatorial Biomarkers by Association Rule Mining in the CAMD Alzheimer’s Database
Radio report, broadcasted on August 29, 2017 in the “Szigma” magazine of Inforadio:
Media reflections to our publication: Brain Size Bias Compensated Graph-Theoretical Parameters are Also Better in Women’s Structural Connectome
Television report, broadcasted on June 9, 2017 on the first channel of the Hungarian Television, in the “Minden Tudás” magazine:
Near Perfect Protein Multi-Label Classification with Deep Neural Networks
Our new paper “Near Perfect Protein Multi-Label Classification with Deep Neural Networks” was published on arxiv.org on 30 Mar 2017. Artificial neural networks (ANNs) have gained a well-deserved popularity among machine learning tools upon their recent successful applications in image- and sound processing and classification problems. Here we present two new ANNs with multi-label classification ability, showing […]
News coverage of our publication The “Giant Virus Finder” Discovers an Abundance of Giant Viruses in the Antarctic Dry Valleys
A 25-minute television report and a talk, first aired on June 3, 2017 on “Mindenki AkadĂ©miája” on the Hungarian Television, on this result: http://index.hu/tudomany/2017/03/06/oriasvirusokat_vizsgalnak_az_elte_kutatoi/ or cached version http://www.origo.hu/tudomany/20170306-az-elte-kutatoi-oriasvirusokat-vizsgalnak.html or cached version http://24.hu/elet-stilus/2017/03/08/oriasvirusokat-hoztak-magyarorszagra/ or cached version http://tudomanyplaza.hu/oriasvirusokat-vizsgalnak-az-elte-kutatoi/ or cached version https://www.elte.hu/content/oriasvirusokat-vizsgalnak-az-elte-kutatoi.t.13548 or cached version http://nepszava.hu/cikk/1122767-oriasvirusokat-vizsgal-az-elte or cached version http://www.karpatinfo.net/cikk/tudomany/oriasvirusokat-vizsgalnak-az-elte-kutatoi http://www.epoc.hu/news/oriasvirusokat-vizsgalnak-az-elte-kutatoi?uid=220205 http://www.hazipatika.com/eletmod/tudomanyos_erdekessegek/cikkek/oriasvirusokra_vadasznak_magyar_kutatok/20170307142200 or cached version http://www.rotapress.us/tech_tud/163089-%C3%B3ri%C3%A1sv%C3%ADrusokat-vizsg%C3%A1lnak-az-elte-kutat%C3%B3i.html