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Ohta, T., Pyysalo, S., Kim, J.-D. und Tsujii, J., A re-evaluation of biomedical named entity-term relations (2010), in: Journal of Bioinformatics and Computational Biology (JBCB), 8:5(917--928)

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Wang, Y., Kim, J.-D., SÃ¦tre, R., Pyysalo, S., Ohta, T. und Tsujii, J., Improving the Inter-corpora Compatibility for Protein Annotations (2010), in: Journal of Bioinformatics and Computational Biology (JBCB), 8:5(901-916)

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Vasilakes, J., Georgiadis, P., Nguyen, N. T. H., Miwa, M. und Ananiadou, S., Contextualized Medication Event Extraction with Levitated Markers (2023), in: Journal of Biomedical Informatics(104347)

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Dang, L. D., Phan, U. T. P. und Nguyen, N. T. H., GENA: A knowledge graph for nutrition and mental health (2023), in: Journal of Biomedical Informatics, 145(10446)

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

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Korkontzelos, I., Nikfarjam, A., Shardlow, M., Sarker, A., Ananiadou, S. und Gonzalez, G., Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts (2016), in: Journal of Biomedical Informatics, 62(148-158)

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Hashimoto, K., Kontonatsios, G., Miwa, M. und Ananiadou, S., Topic Detection Using Paragraph Vectors to Support Active Learning in Systematic Reviews (2016), in: Journal of Biomedical Informatics, 62(59â€“65)

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Miwa, M., Thomas, J., O'Mara-Eves, A. und Ananiadou, S., Reducing systematic review workload through certainty-based screening (2014), in: Journal of Biomedical Informatics

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Tsuruoka, Y. und Tsujii, J., Improving the Performance of Dictionary-based Approaches in Protein Name Recognition (2004), in: Journal of Biomedical Informatics, 37:6(461-470)

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Ananiadou, S., Friedman, C. und Tsujii, J., Introduction: named entity recognition in biomedicine (2004), in: Journal of Biomedical Informatics, 37:6(393--395)

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Krauthammer, M. und NenadiÄ‡, G., Term identification in the biomedical literature (2004), in: Journal of Biomedical Informatics, 37:6(512--526)

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SpasiÄ‡, I. und Ananiadou, S., Using automatically learnt verb selectional preferences for classification of biomedical terms (2004), in: Journal of Biomedical Informatics, 37:6(483--497)

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Stenetorp, P., Pyysalo, S., Ananiadou, S. und Tsujii, J., Generalising semantic category disambiguation with large lexical resources for fun and profit (2014), in: Journal of Biomedical Semantics, 5(26)

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Kontonatsios, G., Korkontzelos, I., Kolluru, B., Thompson, P. und Ananiadou, S., Deploying and Sharing U-Compare Workflows as Web Services (2013), in: Journal of Biomedical Semantics, 4(7)

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Thompson, P., Daikou, S., Ueno, K., Batista-Navarro, R., Tsujii, J. und Ananiadou, S., Annotation and Detection of Drug Effects in Text for Pharmacovigilance (2018), in: Journal of Cheminformatics, 10(37)

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Batista-Navarro, R., Rak, R. und Ananiadou, S., Optimising chemical named entity recognition with pre-processing analytics, knowledge-rich features and heuristics (2015), in: Journal of Cheminformatics, 7:Suppl 1(S6)

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Kolluru, B., Nakjang, S., Hirt, R. P, Wipat, A. und Ananiadou, S., Automatic extraction of microorganisms and their habitats from free text using text mining workflows (2011), in: Journal of Integrative Bioinformatics, 8:2(184)

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

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Alhuzali, H., Zhang, T. und Ananiadou, S., A comparative geolocation and text mining analysis of emotions and topics during the COVID-19 Pandemic in the UK (2022), in: Journal of Medical Internet Research

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Alhuzali, H., Zhang, T. und Ananiadou, S., Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocation and Text Mining Analysis (2022), in: Journal of Medical Internet Research, 24:10(e40323)

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Yu, K., Miyao, Y., Matsuzaki, T., Wang, X., Zhang, Y., Uchimoto, K. und Tsujii, J., Comparison of Chinese Treebanks for Corpus-oriented HPSG Grammar Development (2010), in: Journal of Natural Language Processing (Special Issue on Empirical Methods for Asian Language Processing)

Christopoulou, F., Tran, T. T., Sahu, S. K., Miwa, M. und Ananiadou, S., Adverse Drug Events and Medication Relation Extraction in EHRs with Ensemble Deep Learning Methods (2019), in: Journal of the American Medical Informatics Association(ocz101)

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Ju., M., Nguyen, N. T. H., Miwa, M. und Ananiadou, S., An Ensemble of Neural Models for Nested Adverse Drug Events and Medication Extraction with Subwords (2019), in: Journal of the American Medical Informatics Association, 27:1(22-30)

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Przybyɫa, P., Brockmeier, A. J. und Ananiadou, S., Quantifying Risk Factors in Medical Reports with a Context-Aware Linear Model (2019), in: Journal of the American Medical Informatics Association, 26:6(537â€“546)

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| 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 | 426-450 | 451-475 | 476-500 | 501-525 | 526-550 | 551-575 | 576-582 |

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