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2021 Conference Publication Loss-based active learning for named entity recognitionLinh, Le Thai, Nguyen, Minh-Tien, Zuccon, Guido and Demartini, Gianluca (2021). Loss-based active learning for named entity recognition. 2021 International Joint Conference on Neural Networks (IJCNN), Shenzhen, China, 18-22 July, 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ijcnn52387.2021.9533675 |
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2021 Conference Publication Charting the design and analytics agenda of learnersourcing systemsKhosravi, Hassan, Demartini, Gianluca, Sadiq, Shazia and Gasevic, Dragan (2021). Charting the design and analytics agenda of learnersourcing systems. 11th International Learning Analytics and Knowledge Conference, Irvine, CA USA, April 2021. New York, NY, USA: ACM. doi: 10.1145/3448139.3448143 |
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2021 Conference Publication CoralExp: An Explainable System to Support Coral Taxonomy ResearchHarding, Jaiden, Bridge, Tom and Demartini, Gianluca (2021). CoralExp: An Explainable System to Support Coral Taxonomy Research. 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_55 |
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2020 Conference Publication Modelling User Behavior Dynamics with EmbeddingsHan, Lei, Checco, Alessandro, Difallah, Djellel, Demartini, Gianluca and Sadiq, Shazia (2020). Modelling User Behavior Dynamics with Embeddings. 29th ACM International Conference on Information & Knowledge Management, Online, 19-23 October 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3340531.3411985 |
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2020 Conference Publication The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?Roitero, Kevin, Soprano, Michael, Portelli, Beatrice, Spina, Damiano, Della Mea, Vincenzo, Serra, Giuseppe, Mizzaro, Stefano and Demartini, Gianluca (2020). The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?. 29th ACM International Conference on Information & Knowledge Management, Online, 19 - 23 October 2020. Washington, DC United States: Association for Computing Machinery. doi: 10.1145/3340531.3412048 |
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2020 Conference Publication A region selection model to identify unknown unknowns in image datasetsDong, Xiao, Zhang, Huaxiang and Demartini, Gianluca (2020). A region selection model to identify unknown unknowns in image datasets. 24th European Conference on Artificial Intelligence, ECAI 2020, Santiago de Compostela, Spain, 29 August - 8 September 2020. Amsterdam, Netherlands: IOS Press. doi: 10.3233/FAIA200128 |
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2020 Conference Publication QuRVe: Query Refinement for View Recommendation in visual data explorationEhsan, Humaira, Sharaf, Mohamed A. and Demartini, Gianluca (2020). QuRVe: Query Refinement for View Recommendation in visual data exploration. 24th European Conference on Advances in Databases and Information Systems, ADBIS 2020, Lyon, France, 25 - 27 August 2020. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-54623-6_14 |
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2020 Conference Publication Representation learning for entity type rankingRahman, Md Mostafizur, Takasu, Atsuhiro and Demartini, Gianluca (2020). Representation learning for entity type ranking. SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, Brno, Czech Republic, 30 March-3 April 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3341105.3374029 |
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2020 Conference Publication Building data curation processes with crowd intelligenceChen, Tianwa, Han, Lei, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2020). Building data curation processes with crowd intelligence. CAiSE Forum 2020: Advanced Information Systems Engineering, Grenoble, France, 8 – 12 June 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-58135-0_3 |
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2020 Conference Publication Crowd worker strategies in relevance judgment tasksHan, Lei, Maddalena, Eddy, Checco, Alessandro, Sarasua, Cristina, Gadiraju, Ujwal, Roitero, Kevin and Demartini, Gianluca (2020). Crowd worker strategies in relevance judgment tasks. 13th International Conference on Web Search and Data Mining, Houston, Texas, 3-7 February 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3336191.3371857 |
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2020 Conference Publication Zika outbreak of 2016: insights from twitterAhmed, Wasim, Bath, Peter A., Sbaffi, Laura and Demartini, Gianluca (2020). Zika outbreak of 2016: insights from twitter. International Conference on Human-Computer Interaction, Copenhagen, Denmark, 19-24 July 2020. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-49576-3_32 |
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2020 Conference Publication Crowdsourcing truthfulness: the impact of judgment scale and assessor biasLa Barbera, David, Roitero, Kevin, Demartini, Gianluca, Mizzaro, Stefano and Spina, Damiano (2020). Crowdsourcing truthfulness: the impact of judgment scale and assessor bias. European Conference on Information Retrieval, Lisbon, Portugal, 14-17 April 2020. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-45442-5_26 |
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2019 Conference Publication Platform-Related Factors in Repeatability and Reproducibility of Crowdsourcing TasksQarout, Rehab, Checco, Alessandro, Demartini, Gianluca and Bontcheva, Kalina (2019). Platform-Related Factors in Repeatability and Reproducibility of Crowdsourcing Tasks. Seventh AAAI Conference on Human Computation and Crowdsourcing, Stevenson, WA United States, 28-30 October 2019. Washington, DC United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/hcomp.v7i1.5264 |
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2019 Conference Publication Augmenting intelligence with bias-aware humans-in-the-loop (HumBL2019) chairs' welcomeAroyo, Lora, Gadiraju, Ujwal, Inel, Oana, Checco, Alessandro, Gentile, Anna Lisa, Sarasua, Cristina and Demartini, Gianluca (2019). Augmenting intelligence with bias-aware humans-in-the-loop (HumBL2019) chairs' welcome. 2019 World Wide Web Conference, San Francisco, CA United States, 13 - 17 May 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3308560.3317301 |
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2019 Conference Publication Non-parametric class completeness estimators for collaborative knowledge graphs—the case of WikidataLuggen, Michael, Difallah, Djellel, Sarasua, Cristina, Demartini, Gianluca and Cudré-Mauroux, Philippe (2019). Non-parametric class completeness estimators for collaborative knowledge graphs—the case of Wikidata. International Semantic Web Conference, Auckland, New Zealand, 26-30 October 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-30793-6_26 |
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2019 Conference Publication Jobnow'19 - 1st international workshop on job knowledge discovery on the Web & Social mediaGadiraju, Ujwal, Demartini, Gianluca, Bohlouli, Mahdi and Margaryan, Anoush (2019). Jobnow'19 - 1st international workshop on job knowledge discovery on the Web & Social media. 30th ACM Conference on Hypertext and Social Media, Hof, Germany, 17-20 September 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3342220.3349532 |
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2019 Conference Publication Tracking user behaviours: Laboratory-based and in-the-wild user studiesDemartini, Gianluca and Sadiq, Shazia (2019). Tracking user behaviours: Laboratory-based and in-the-wild user studies. 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, Chiang Mai, Thailand, 22-25 April 2019. Cham, Switzerland: Springer Verlag. doi: 10.1007/978-3-030-18590-9a |
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2019 Conference Publication On transforming relevance scalesHan, Lei, Roitero, Kevin, Maddalena, Eddy, Mizzaro, Stefano and Demartini, Gianluca (2019). On transforming relevance scales. 28th ACM International Conference on Information and Knowledge Management, Beijing, China, 3-7 November 2019. Washington, DC, United States: Association for Computing Machinery. doi: 10.1145/3357384.3357988 |
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2019 Conference Publication Implicit bias in crowdsourced knowledge graphsDemartini, Gianluca (2019). Implicit bias in crowdsourced knowledge graphs. World Wide Web Conference (WWW 2019), San Francisco, CA, United States, 13-17 May 2019. New York, NY, United States: Association for Computing Machinery (ACM). doi: 10.1145/3308560.3317307 |
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2019 Conference Publication How many truth levels? Six? One hundred? Even more? Validating truthfulness of statements via crowdsourcingRoitero, Kevin, Demartini, Gianluca, Mizzaro, Stefano and Spina, Damiano (2019). How many truth levels? Six? One hundred? Even more? Validating truthfulness of statements via crowdsourcing. CIKM 2018 Workshops, Torino, Italy, 22-26 October 2018. CEUR-WS. |
