Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Alexandre Kouznetsov"'
This study investigates the influence of formal and informal institutions on firm innovation in transitional economies of Central and Eastern Europe (CEEs) by explicitly differentiating between corruption and bribery as distinct informal institutions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c52c4924422eaa633cc69e2a2e7f0f67
https://hdl.handle.net/10453/166837
https://hdl.handle.net/10453/166837
Publikováno v:
CIKM
This paper explores the possibility of using neural embedding features for enhancing the effectiveness of ad hoc document ranking based on learning to rank models. We have extensively introduced and investigated the effectiveness of features learnt b
Autor:
Amal Zouaq, Alexandre Kouznetsov
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319133317
PKAW
PKAW
In this paper, we present a comparison of unsupervised and supervised methods for key-phrase extraction from a domain corpus. The experimented unsupervised methods employ individual statistical measures and graph-based measures while the supervised m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bce216f33925eef23e7ef0a59a777f8
https://doi.org/10.1007/978-3-319-13332-4_21
https://doi.org/10.1007/978-3-319-13332-4_21
Publikováno v:
Computer Music Journal. 23:65-69
The 1998 Home Theater and Specialty Audio Show (HiFi '98) took place from 9-14 June 1998 at the Westin Hotel and Exposition Center in Los Angeles, California, USA. This annual event, sponsored largely by Stereophile magazine, is the equivalent of the
Autor:
Alexandre Kouznetsov, Udo Hahn, Senay Kafkas, Kazuo Hara, Cheng-Ju Kuo, Elena Beisswanger, Christopher J. O. Baker, Antonio Jimeno Yepes, Alberto Lavelli, Faisal Mahbub Chowdhury, Richárd Farkas, Erik M. van Mulligen, Ning Kang, Simone Clematide, Chen Li, György Móra, Alberto Pascual-Montano, Fabio Rinaldi, Walter Daelemans, Dietrich Rebholz-Schuhmann, Laura I. Furlong, Nigel Collier, Ekaterina Buyko, René Witte, Rafael Berlanga, José Luís Marina, Michael Rautschka, Kerstin Hornbostel, Jonas B. Laurila, Jan A. Kors, Vincent Van Asch, Ian Lewin, Mariana Neves, Qi Wei, Peter T. Corbett, Roser Morante, David Milward
Publikováno v:
Journal of Biomedical Semantics
Scopus-Elsevier
Recercat. Dipósit de la Recerca de Catalunya
instname
Proceedings of the 4th Symposium on Semantic Mining in biomedicine (SMBM)
Journal of Biomedical Semantics, Vol 2, Iss Suppl 5, p S11 (2011)
Digital.CSIC. Repositorio Institucional del CSIC
Scopus-Elsevier
Recercat. Dipósit de la Recerca de Catalunya
instname
Proceedings of the 4th Symposium on Semantic Mining in biomedicine (SMBM)
Journal of Biomedical Semantics, Vol 2, Iss Suppl 5, p S11 (2011)
Digital.CSIC. Repositorio Institucional del CSIC
Background Competitions in text mining have been used to measure the performance of automatic text processing solutions against a manually annotated gold standard corpus (GSC). The preparation of the GSC is time-consuming and costly and the final cor
Autor:
Leonid L. Chepelev, Michel Dumontier, Alexandre Kouznetsov, Christopher J. O. Baker, Alexandre Riazanov, Hong Sang Low
Publikováno v:
BMC Bioinformatics, Vol 12, Iss 1, p 303 (2011)
BMC Bioinformatics
BMC Bioinformatics, 12:303. BioMed Central Ltd
BMC Bioinformatics
BMC Bioinformatics, 12:303. BioMed Central Ltd
Background The development of high-throughput experimentation has led to astronomical growth in biologically relevant lipids and lipid derivatives identified, screened, and deposited in numerous online databases. Unfortunately, efforts to annotate, c
Publikováno v:
AINA Workshops
Relay of information from technical documentation by contact center workers to assist clients is limited by industry standard storage formats and query mechanisms. Here we present and evaluate a new methodology for processing technical documents and
We are grateful to Professor Cohen for his letter and clarification of the support vector machine algorithm (SVM) results (in press). We agree that the results he supplies fill a gap in our paper. We could not have performed this comparison in our pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f544fb5cb4f64b7726c692a881b5438c
https://europepmc.org/articles/PMC3005881/
https://europepmc.org/articles/PMC3005881/
Autor:
Jonas B. Laurila, Nona Naderi, Christopher J. O. Baker, Alexandre Kouznetsov, René Witte, Alexandre Riazanov
Publikováno v:
BMC Genomics, Vol 11, Iss Suppl 4, p S24 (2010)
BMC Genomics
BMC Genomics
Background Mutation impact extraction is a hitherto unaccomplished task in state of the art mutation extraction systems. Protein mutations and their impacts on protein properties are hidden in scientific literature, making them poorly accessible for
Objective To determine whether a factorized version of the complement nao¨ve Bayes (FCNB) classifier can reduce the time spent by experts reviewing journal articles for inclusion in systematic reviews of drug class efficacy for disease treatment. De
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89e734bb44e397da7a377d0baaf7ab6b
https://europepmc.org/articles/PMC2995653/
https://europepmc.org/articles/PMC2995653/