Auflistung Forschungszentren nach Schlagwort "COVID-19"

Auflistung Forschungszentren nach Schlagwort "COVID-19"

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  • The Acoustic Dissection of Cough: Diving Into Machine Listening-based COVID-19 Analysis and Detection 
    Ren, Zhao; Chang, Yi; Bartl-Pokorny, Katrin D.; Pokorny, Florian B.; Schuller, Björn W. (Amsterdam [u.a.] : Elsevier Science, 2022)
    Objectives: The coronavirus disease 2019 (COVID-19) has caused a crisis worldwide. Amounts of efforts have been made to prevent and control COVID-19′s transmission, from early screenings to vaccinations and treatments. ...
  • Acriflavine, a clinically approved drug, inhibits SARS-CoV-2 and other betacoronaviruses 
    Napolitano, Valeria; Dabrowska, Agnieszka; Schorpp, Kenji; Mourao, Andre; Barreto-Duran, Emilia; Benedyk, Malgorzata; Botwina, Pawel; Brandner, Stefanie; Bostock, Mark; Chykunova, Yuliya; Czarna, Anna; Dubin, Grzegorz; Froehlich, Tony; Hoelscher, Michael; Jedrysik, Malwina; Matsuda, Alex; Owczarek, Katarzyna; Pachota, Magdalena; Plettenburg, Oliver; Potempa, Jan; Rothenaigner, Ina; Schlauderer, Florian; Slysz, Klaudia; Szczepanski, Artur; Mohn, Kristin Greve-Isdahl; Blomberg, Bjorn; Sattler, Michael; Hadian, Kamyar; Popowicz, Grzegorz Maria; Pyrc, Krzysztof (Amsterdam : Elsevier, 2022)
    The COVID-19 pandemic caused by SARS-CoV-2 has been socially and economically devastating. Despite an unprecedented research effort and available vaccines, effective therapeutics are still missing to limit severe disease ...
  • CovNet: A Transfer Learning Framework for Automatic COVID-19 Detection From Crowd-Sourced Cough Sounds 
    Chang, Yi; Jing, Xin; Ren, Zhao; Schuller, Björn W. (Lausanne : Frontiers Media, 2022)
    Since the COronaVIrus Disease 2019 (COVID-19) outbreak, developing a digital diagnostic tool to detect COVID-19 from respiratory sounds with computer audition has become an essential topic due to its advantages of being ...
  • How to move beyond epistemic battles: pluralism and contextualism at the science-society interface 
    Canali, Stefano; Lohse, Simon (London : Springer Nature, 2024)
    The COVID-19 pandemic has been the scene of several epistemic battles at the science-society interface, creating deadlocks that have been hard to overcome. To cut through the paralysing elements of these discussions, we ...
  • Impact of COVID-19 research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph 
    Rabby, Gollam; D’Souza, Jennifer; Oelen, Allard; Dvorackova, Lucie; Svátek, Vojtěch; Auer, Sören (London : BioMed Central, 2023)
    Multiple studies have investigated bibliometric features and uncategorized scholarly documents for the influential scholarly document prediction task. In this paper, we describe our work that attempts to go beyond bibliometric ...
  • Individual social contact data and population mobility data as early markers of SARS-CoV-2 transmission dynamics during the first wave in Germany—an analysis based on the COVIMOD study 
    Tomori, Damilola Victoria; Rübsamen, Nicole; Berger, Tom; Scholz, Stefan; Walde, Jasmin; Wittenberg, Ian; Lange, Berit; Kuhlmann, Alexander; Horn, Johannes; Mikolajczyk, Rafael; Jaeger, Veronika K.; Karch, André (London : BioMed Central, 2021)
    Background: The effect of contact reduction measures on infectious disease transmission can only be assessed indirectly and with considerable delay. However, individual social contact data and population mobility data can ...
  • Large-Scale Recombinant Production of the SARS-CoV-2 Proteome for High-Throughput and Structural Biology Applications 
    Altincekic, Nadide; Korn, Sophie Marianne; Qureshi, Nusrat Shahin; Dujardin, Marie; Ninot-Pedrosa, Martí; Abele, Rupert; Abi Saad, Marie Jose; Alfano, Caterina; Almeida, Fabio C. L.; Alshamleh, Islam; de Amorim, Gisele Cardoso; Anderson, Thomas K.; Anobom, Cristiane D.; Anorma, Chelsea; Bains, Jasleen Kaur; Bax, Adriaan; Blackledge, Martin; Blechar, Julius; Böckmann, Anja; Brigandat, Louis; Bula, Anna; Bütikofer, Matthias; Camacho-Zarco, Aldo R.; Carlomagno, Teresa; Caruso, Icaro Putinhon; Ceylan, Betül; Chaikuad, Apirat; Chu, Feixia; Cole, Laura; Crosby, Marquise G.; de Jesus, Vanessa; Dhamotharan, Karthikeyan; Felli, Isabella C.; Ferner, Jan; Fleischmann, Yanick; Fogeron, Marie-Laure; Fourkiotis, Nikolaos K.; Fuks, Christin; Fürtig, Boris; Gallo, Angelo; Gande, Santosh L.; Gerez, Juan Atilio; Ghosh, Dhiman; Gomes-Neto, Francisco; Gorbatyuk, Oksana; Guseva, Serafima; Hacker, Carolin; Häfner, Sabine; Hao, Bing; Hargittay, Bruno; Henzler-Wildman, K.; Hoch, Jeffrey C.; Hohmann, Katharina F.; Hutchison, Marie T.; Jaudzems, Kristaps; Jović, Katarina; Kaderli, Janina; Kalniņš, Gints; Kaņepe, Iveta; Kirchdoerfer, Robert N.; Kirkpatrick, John; Knapp, Stefan; Krishnathas, Robin; Kutz, Felicitas; zur Lage, Susanne; Lambertz, Roderick; Lang, Andras; Laurents, Douglas; Lecoq, Lauriane; Linhard, Verena; Löhr, Frank; Malki, Anas; Bessa, Luiza Mamigonian; Martin, Rachel W.; Matzel, Tobias; Maurin, Damien; McNutt, Seth W.; Mebus-Antunes, Nathane Cunha; Meier, Beat H.; Meiser, Nathalie; Mompeán, Miguel; Monaca, Elisa; Montserret, Roland; Mariño Perez, Laura; Moser, Celine; Muhle-Goll, Claudia; Neves-Martins, Thais Cristtina; Ni, Xiamonin; Norton-Baker, Brenna; Pierattelli, Roberta; Pontoriero, Letizia; Pustovalova, Yulia; Ohlenschläger, Oliver; Orts, Julien; Da Poian, Andrea T.; Pyper, Dennis J.; Richter, Christian; Riek, Roland; Rienstra, Chad M.; Robertson, Angus; Pinheiro, Anderson S.; Sabbatella, Raffaele; Salvi, Nicola; Saxena, Krishna; Schulte, Linda; Schiavina, Marco; Schwalbe, Harald; Silber, Mara; Almeida, Marcius da Silva; Sprague-Piercy, Marc A.; Spyroulias, Georgios A.; Sreeramulu, Sridhar; Tants, Jan-Niklas; Tārs, Kaspars; Torres, Felix; Töws, Sabrina; Treviño, Miguel Á.; Trucks, Sven; Tsika, Aikaterini C.; Varga, Krisztina; Wang, Ying; Weber, Marco E.; Weigand, Julia E.; Wiedemann, Christoph; Wirmer-Bartoschek, Julia; Wirtz Martin, Maria Alexandra; Zehnder, Johannes; Hengesbach, Martin; Schlundt, Andreas (Lausanne : Frontiers, 2021)
    The highly infectious disease COVID-19 caused by the Betacoronavirus SARS-CoV-2 poses a severe threat to humanity and demands the redirection of scientific efforts and criteria to organized research projects. The international ...
  • Learning complementary representations via attention-based ensemble learning for cough-based COVID-19 recognition 
    Ren, Zhao; Chang, Yi; Nejdl, Wolfgang; Schuller, Björn W. (Les Ulis : EDP Sciences, 2022)
    Coughs sounds have shown promising as-potential marker for distinguishing COVID individuals from non-COVID ones. In this paper, we propose an attention-based ensemble learning approach to learn complementary representations ...
  • On the Role of Images for Analyzing Claims in Social Media 
    Cheema, Gullal S.; Hakimov, Sherzod; Müller-Budack, Eric; Ewerth, Ralph (Aachen, Germany : RWTH Aachen, 2021)
    Fake news is a severe problem in social media. In this paper, we present an empirical study on visual, textual, and multimodal models for the tasks of claim, claim check-worthiness, and conspiracy detection, all of which ...
  • Resorting to Context-Aware Background Knowledge for Unveiling Semantically Related Social Media Posts 
    Sakor, Ahmad; Singh, Kuldeep; Vidal, Maria-Esther (New York, NY : IEEE, 2022)
    Social media networks have become a prime source for sharing news, opinions, and research accomplishments in various domains, and hundreds of millions of posts are announced daily. Given this wealth of information in social ...
  • ViruSurf: An integrated database to investigate viral sequences 
    Canakoglu, Arif; Pinoli, Pietro; Bernasconi, Anna; Alfonsi, Tommaso; Melidis, Damianos P.; Ceri, Stefano (Oxford : Oxford Univ. Press, 2020)
    ViruSurf, available at http://gmql.eu/virusurf/, is a large public database of viral sequences and integrated and curated metadata from heterogeneous sources (RefSeq, GenBank, COG-UK and NMDC); it also exposes computed ...

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