Ananiadou, S. - NaCTeM Publications - Aigaion 2.0

NAVEGAR
EXPORTAR
- Exportar todas as publicações
- Export author
ORDENAR POR
- Autor
- Título
- Tipo/journal
- Ano
- Mais recente
SITE
- Ajuda
- Sobre esse site
USUÁRIO GUEST
Guest
ENTRE
Nome:

Senha:

Deutsch, English, Nederlands, Norsk, Português, <mais...>

Primeiro nome(s):	S.
Sobrenome(s):	Ananiadou

| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-400 | 401-425 | 426-426 |

Trieu, H-L., Nguyen, N. T. H., Miwa, M. and Ananiadou, S., Investigating Domain-Specific Information for Neural Coreference Resolution on Biomedical Texts, in: Proceedings of the BioNLP 2018 workshop, páginas 183-188, 2018

[URL]

Leroi, A. M., Lambert, B. C., Mauch, M., Papadopoulou, M., Ananiadou, S., Lindberg, S. I. I. and Lindenfors, P., On Revolutions (2018), in: V-Dem Working Paper(63)

[DOI]
[URL]

Zerva, C. and Ananiadou, S., Paths for uncertainty: Exploring the intricacies of uncertainty identification for news, in: Proceedings of the NAACL Workshop on Computational Semantics Beyond Events and Roles (SemBEaR), páginas 6-20, 2018

[URL]

Przybyɫa, P., Brockmeier, A. J., Kontonatsios, G., Le Pogam, M. -A., McNaught, J., von Elm, E., Nolan, K. and Ananiadou, S., Prioritising references for systematic reviews with RobotAnalyst: a user study (2018), in: Research Synthesis Methods, 9:3(470-488)

[DOI]
[URL]

Sousselier, L., Roncaglioni, A., Raitano, G., Petoumenou, M., Benfenati, E., Ananiadou, S., Nguyen, N. T. H., Do, Q. T., Paya, E., Olivier, E., Wakx, A., Michel, S., Dufat, H. and Rat, P., Role of in silico tools and text mining in the risk assessment of selected alkaloids (2018), in: Toxicology Letters, 295:Supplement 1(S159)

[URL]

Brockmeier, A. J., Mu, T., Ananiadou, S. and Goulermas, J. Y, Self-Tuned Descriptive Document Clustering using a Predictive Network (2018), in: Transactions on Knowledge and Data Engineering

[URL]

Soto, A., Przybyɫa, P. and Ananiadou, S., Thalia: Semantic search engine for biomedical abstracts (2018), in: Bioinformatics, 35:10(1799â€“1801)

[DOI]
[URL]

Kontonatsios, G., Brockmeier, A. J., Przybyɫa, P., McNaught, J., Mu, T., Goulermas, J. Y and Ananiadou, S., A semi-supervised approach using label propagation to support citation screening (2017), in: Journal of Biomedical Informatics, 72(67-76)

[DOI]
[URL]

Batista-Navarro, R., Zerva, C., Nguyen, N. T. H. and Ananiadou, S., A Text Mining-Based Framework for Constructing an RDF-Compliant Biodiversity Knowledge Repository, páginas 30-42, Springer, Communications in Computer and Information Science, volume 656, 2017

[DOI]
[URL]

Swainston, N., Batista-Navarro, R., Carbonel, P., Dobson, P., Dunstan, M., Jervis, A., Vinaixa, M., Williams, A., Ananiadou, S., Faulon, J. L., Mendes, P., Kell, D. B., Scrutton, N. and Breitling, R., biochem4j: integrated and extensible biochemical knowledge through graph databases (2017), in: PLOS ONE, 12:7(e0179130)

[DOI]
[URL]

Nguyen, N. T. H., Soto, A., Kontonatsios, G., Batista-Navarro, R. and Ananiadou, S., Constructing a Biodiversity Terminological Inventory (2017), in: PLOS ONE, 12:4(e0175277)

[DOI]
[URL]

Mu, T., Goulermas, J. Y and Ananiadou, S., Data Visualization with Structural Control of Global Cohort and Local Data Neighborhoods (2017), in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 99

[DOI]
[URL]

Sato, M., Brockmeier, A. J., Kontonatsios, G., Mu, T., Goulermas, J. Y, Tsujii, J. and Ananiadou, S., Distributed Document and Phrase Co-embeddings for Descriptive Clustering, in: Proceedings of EACL, páginas 991-1001, 2017

[URL]

Thompson, P. and Ananiadou, S., Extracting Gene-Disease Relations from Text to Support Biomarker Discovery, in: Proceedings of the 7th International conference on Digital Health, páginas 180-189, 2017

[DOI]
[URL]

Przybyɫa, P., Soto, A. and Ananiadou, S., Identifying Personalised Treatments and Clinical Trials for Precision Medicine using Semantic Search with Thalia, in: Proceedings of the Twenty-Fifth Text REtrieval Conference (TREC 2017), National Insitute of Standards and Technology, 2017

[URL]

Soto, A., Zerva, C., Batista-Navarro, R. and Ananiadou, S., LitPathExplorer: A Confidence-based Visual Text Analytics Tool for Exploring Literature-Enriched Pathway Models (2017), in: Bioinformatics, 34:8(1389-1397)

[DOI]
[URL]

Li, M., Nguyen, N. T. H. and Ananiadou, S., Proactive Learning for Named Entity Recognition, in: Proceedings of BioNLP 2017, páginas 117--125, Association for Computational Linguistics, 2017

[URL]

Brockmeier, A. J., Mu, T., Ananiadou, S. and Goulermas, J. Y, Quantifying the Informativeness of Similarity Measurements (2017), in: Journal of Machine Learning Research, 18(1-61)

[URL]

Bahor, Z., Liao, J., Macleod, M. R., Bannach-Brown, A., McCann, S. K., Wever, K. E., Thomas, J., Ottavi, T., Howells, D. W., Rice, A., Ananiadou, S. and Sena, E., Risk of bias reporting in the recent animal focal cerebral ischaemia literature (2017), in: Clinical Science, 131:20(2525--2532)

[DOI]
[URL]

Raitano, G., Benfenati, E., Ananiadou, S., Nguyen, N. T. H., Do, Q. T., Rat, P. and Sousselier, L., Role of in silico tools and text mining in the safety assessment of selected plant coumarins (2017), in: Toxicology Letters, 280:Supplement 1(S96)

[DOI]
[URL]

Venkatesan, A., Kim, J. -H., Talo, F., Ide-Smith, M., Gobeill, J., Carter, J., Batista-Navarro, R., Ananiadou, S., Ruch, P. and McEntyre, J. R., SciLite: a platform for displaying text-mined annotations as a means to link research articles with biological data [version 2; referees: 2 approved, 1 approved with reservations]. (2017), in: Wellcome Open Res, 1:25

[DOI]
[URL]

Ananiadou, S. and Thompson, P., Supporting Biological Pathway Curation Through Text Mining, in: Data Analytics and Management in Data Intensive Domains, páginas 59-73, Springer, 2017

[DOI]
[URL]

Thompson, P., Boylan, K., Freemont, A. and Ananiadou, S., Supporting biomarker discovery using text mining, in: Proceedings of Informatics for Health 2017, 2017

[URL]

Thompson, P., Ananiadou, S. and Tsujii, J., The GENIA Corpus: Annotation Levels and Applications, in: Handbook of Linguistic Annotation, páginas 1395-1432, Springer, 2017

[DOI]
[URL]

| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-400 | 401-425 | 426-426 |

tempo de processamento: 0.0944 segundos.