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2021 Conference Publication Discriminative features generation for mortality prediction in ICUPokharel, Suresh, Shi, Zhenkun, Zuccon, Guido and Li, Yu (2021). Discriminative features generation for mortality prediction in ICU. International Conference on Advanced Data Mining and Applications, Foshan, China, 12-14 November 2020. Cham, Switzerland: Springer . doi: 10.1007/978-3-030-65390-3_25 |
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2021 Conference Publication TILDE: Term Independent Likelihood moDEl for passage re-rankingZhuang, Shengyao and Zuccon, Guido (2021). TILDE: Term Independent Likelihood moDEl for passage re-ranking. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Online, 11-15 July 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3404835.3462922 |
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2020 Journal Article A comparison of automatic Boolean query formulation for systematic reviewsScells, Harrisen, Zuccon, Guido and Koopman, Bevan (2020). A comparison of automatic Boolean query formulation for systematic reviews. Information Retrieval Journal, 24 (1), 3-28. doi: 10.1007/s10791-020-09381-1 |
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2020 Journal Article How searching under time pressure impacts clinical decision makingVan der Vegt, Anton, Zuccon, Guido, Koopman, Bevan and Deacon, Anthony (2020). How searching under time pressure impacts clinical decision making. Journal of the Medical Library Association, 108 (4), 564-573. doi: 10.5195/jmla.2020.915 |
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2020 Journal Article Temporal tree representation for similarity computation between medical patientsPokharel, Suresh, Zuccon, Guido, Li, Xue, Utomo, Chandra Prasetyo and Li, Yu (2020). Temporal tree representation for similarity computation between medical patients. Artificial Intelligence in Medicine, 108 101900, 101900. doi: 10.1016/j.artmed.2020.101900 |
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2020 Conference Publication Systematic review automation tools for end-to-end query formulationLi, Hang, Scells, Harrisen and Zuccon, Guido (2020). Systematic review automation tools for end-to-end query formulation. SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval, Virtual, July 2020. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3397271.3401402 |
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2020 Journal Article Learning inter-sentence, disorder-centric, biomedical relationships from medical literaturevan der Vegt, Anton H., Zuccon, Guido and Koopman, Bevan (2020). Learning inter-sentence, disorder-centric, biomedical relationships from medical literature. AMIA Annual Symposium. Proceedings, 2019, 1216-1225. |
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2020 Journal Article Payoffs and Pitfalls in Using Knowledge-Bases for Consumer Health SearchJimmy, Zuccon, Guido and Koopman, Bevan (2020). Payoffs and Pitfalls in Using Knowledge-Bases for Consumer Health Search. Lecture Notes in Computer Science, 12035, 864-864. |
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2020 Conference Publication A computational approach for objectively derived systematic review search strategiesScells, Harrisen, Zuccon, Guido, Koopman, Bevan and Clark, Justin (2020). A computational approach for objectively derived systematic review search strategies. 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, 14–17 April, 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-45439-5_26 |
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2020 Conference Publication Representing EHRs with temporal tree and sequential pattern mining for similarity computingPokharel, Suresh, Zuccon, Guido and Li, Yu (2020). Representing EHRs with temporal tree and sequential pattern mining for similarity computing. 16th International Conference, ADMA 2020, Foshan, China, 12-14 November 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-65390-3_18 |
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2020 Conference Publication IELAB for TREC Conversational Assistance Track (CAsT) 2020Sebastian, Cross, Li, Hang, Zhuang, Arvin, Ahmed, Mourad, Bevan, Koopman and Guido, Zuccon (2020). IELAB for TREC Conversational Assistance Track (CAsT) 2020. 29th Text REtrieval Conference, TREC 2020, Online, 16-20 November 2020. Gaithersburg, MD United States: National Institute of Standards and Technology (NIST). |
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2020 Conference Publication Quality matters: understanding the impact of incomplete data on visualization recommendationMafrur, Rischan, Sharaf, Mohamed A. and Zuccon, Guido (2020). Quality matters: understanding the impact of incomplete data on visualization recommendation. 31st International Conference, DEXA 2020, Bratislava, Czech Republic, 14–17 September, 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-59003-1_8 |
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2020 Conference Publication Counterfactual online learning to rankZhuang, Shengyao and Zuccon, Guido (2020). Counterfactual online learning to rank. 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-45439-5_28 |
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2020 Conference Publication Automatic Boolean query formulation for systematic review literature searchScells, Harrisen, Zuccon, Guido, Koopman, Bevan and Clark, Justin (2020). Automatic Boolean query formulation for systematic review literature search. WWW '20: The Web Conference 2020, Taipei, Taiwan, April 2020. New York, United States: Association for Computing Machinery. doi: 10.1145/3366423.3380185 |
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2020 Conference Publication You can teach an old dog new tricks: Rank fusion applied to coordination level matching for ranking in systematic reviewsScells, Harrisen, Zuccon, Guido and Koopman, Bevan (2020). You can teach an old dog new tricks: Rank fusion applied to coordination level matching for ranking in systematic reviews. 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, 14–17 April, 2020 . Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-45439-5_27 |
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2020 Conference Publication Overview of the TREC 2020 Health Misinformation TrackClarke, Charles L. A., Maistro, Maria, Rizvi, Saira, Smucker, Mark D. and Zuccon, Guido (2020). Overview of the TREC 2020 Health Misinformation Track. 29th Text REtrieval Conference, TREC 2020, Online, 16-20 November 2020. Gaithersburg, MD, United States: National Institute of Standards and Technology. |
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2020 Conference Publication Sampling query variations for learning to rank to improve automatic Boolean query generation in systematic reviewsScells, Harrisen, Zuccon, Guido, Sharaf, Mohamed A. and Koopman, Bevan (2020). Sampling query variations for learning to rank to improve automatic Boolean query generation in systematic reviews. WWW '20: The Web Conference 2020, Taipei, Taiwan, April 2020. New York, United States: Association for Computing Machinery. doi: 10.1145/3366423.3380075 |
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2019 Journal Article Fixed-cost pooling strategiesLipani, Aldo, Losada, David E., Zuccon, Guido and Lupu, Mihai (2019). Fixed-cost pooling strategies. IEEE Transactions on Knowledge and Data Engineering, 14 (8) 8868196, 1-1. doi: 10.1109/tkde.2019.2947049 |
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2019 Journal Article Health cards to assist decision making in consumer health searchJimmy, , Zuccon, Guido, Demartini, Gianluca and Koopman, Bevan (2019). Health cards to assist decision making in consumer health search. AMIA Annual Symposium. Proceedings, 2019, 1091-1100. |
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2019 Conference Publication WSDM 2019 tutorial on health search (HS2019): a full-day from consumers to cliniciansKoopman, Bevan and Zuccon, Guido (2019). WSDM 2019 tutorial on health search (HS2019): a full-day from consumers to clinicians. 12th ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, Victoria, 11-15 February 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3289600.3291379 |
