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2021

Conference Publication

Search engines vs. symptom checkers: a comparison of their effectiveness for online health advice

Cross, Sebastian, Mourad, Ahmed, Zuccon, Guido and Koopman, Bevan (2021). Search engines vs. symptom checkers: a comparison of their effectiveness for online health advice. World Wide Web Conference, Ljubljana, Slovenia, 19-23 April 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3442381.3450140

Search engines vs. symptom checkers: a comparison of their effectiveness for online health advice

2021

Conference Publication

Federated Online Learning to Rank with Evolution Strategies: A Reproducibility Study

Wang, Shuyi, Zhuang, Shengyao and Zuccon, Guido (2021). Federated Online Learning to Rank with Evolution Strategies: A Reproducibility Study. 43rd European Conference on IR Research, ECIR 2021, Online, 28 March – 1 April 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-72240-1_10

Federated Online Learning to Rank with Evolution Strategies: A Reproducibility Study

2021

Conference Publication

Deep query likelihood model for information retrieval

Zhuang, Shengyao, Li, Hang and Zuccon, Guido (2021). Deep query likelihood model for information retrieval. The 43rd European Conference On Information Retrieval (ECIR), Lucca, Italy - online event, March 28–April 1, 2021. Cham, Switzerland: Elsevier. doi: 10.1007/978-3-030-72240-1_49

Deep query likelihood model for information retrieval

2021

Conference Publication

User models, metrics and measures of search: a tutorial on the C/W/L evaluation framework

Azzopardi, Leif, Moffat, Alistair, Thomas, Paul and Zuccon, Guido (2021). User models, metrics and measures of search: a tutorial on the C/W/L evaluation framework. 6th ACM SIGIR Conference on Human Information Interaction and Retrieval, CHIIR 2021, Virtual, 14 - 19 March 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3406522.3446049

User models, metrics and measures of search: a tutorial on the C/W/L evaluation framework

2021

Journal Article

Do better search engines really equate to better clinical decisions? If not, why not?

van der Vegt, Anton, Zuccon, Guido and Koopman, Bevan (2021). Do better search engines really equate to better clinical decisions? If not, why not?. Journal of the Association for Information Science and Technology, 72 (2) asi.24398, 141-155. doi: 10.1002/asi.24398

Do better search engines really equate to better clinical decisions? If not, why not?

2021

Conference Publication

Discriminative features generation for mortality prediction in ICU

Pokharel, 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

Discriminative features generation for mortality prediction in ICU

2021

Conference Publication

TILDE: Term Independent Likelihood moDEl for passage re-ranking

Zhuang, 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

TILDE: Term Independent Likelihood moDEl for passage re-ranking

2021

Conference Publication

Diagnosis ranking with knowledge graph convolutional networks

Liu, Bing, Zuccon, Guido, Hua, Wen and Chen, Weitong (2021). Diagnosis ranking with knowledge graph convolutional networks. 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28-April 1 2021. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-72113-8_24

Diagnosis ranking with knowledge graph convolutional networks

2021

Conference Publication

How do online learning to rank methods adapt to changes of intent?

Zhuang, Shengyao and Zuccon, Guido (2021). How do online learning to rank methods adapt to changes of intent?. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Online, 11-15 July. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3404835.3462937

How do online learning to rank methods adapt to changes of intent?

2020

Journal Article

A comparison of automatic Boolean query formulation for systematic reviews

Scells, 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

A comparison of automatic Boolean query formulation for systematic reviews

2020

Journal Article

How searching under time pressure impacts clinical decision making

Van 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

How searching under time pressure impacts clinical decision making

2020

Journal Article

Temporal tree representation for similarity computation between medical patients

Pokharel, 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

Temporal tree representation for similarity computation between medical patients

2020

Conference Publication

Systematic review automation tools for end-to-end query formulation

Li, 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

Systematic review automation tools for end-to-end query formulation

2020

Journal Article

Learning inter-sentence, disorder-centric, biomedical relationships from medical literature

van 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.

Learning inter-sentence, disorder-centric, biomedical relationships from medical literature

2020

Conference Publication

Automatic Boolean query formulation for systematic review literature search

Scells, 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

Automatic Boolean query formulation for systematic review literature search

2020

Conference Publication

You can teach an old dog new tricks: Rank fusion applied to coordination level matching for ranking in systematic reviews

Scells, 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

You can teach an old dog new tricks: Rank fusion applied to coordination level matching for ranking in systematic reviews

2020

Conference Publication

Overview of the TREC 2020 Health Misinformation Track

Clarke, 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.

Overview of the TREC 2020 Health Misinformation Track

2020

Conference Publication

Sampling query variations for learning to rank to improve automatic Boolean query generation in systematic reviews

Scells, 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

Sampling query variations for learning to rank to improve automatic Boolean query generation in systematic reviews

2020

Conference Publication

A computational approach for objectively derived systematic review search strategies

Scells, 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

A computational approach for objectively derived systematic review search strategies

2020

Conference Publication

Representing EHRs with temporal tree and sequential pattern mining for similarity computing

Pokharel, 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

Representing EHRs with temporal tree and sequential pattern mining for similarity computing