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2024 Conference Publication CoLAL: Co-learning active learning for text classificationLe, Linh, Zhao, Genghong, Zhang, Xia, Zuccon, Guido and Demartini, Gianluca (2024). CoLAL: Co-learning active learning for text classification. Thirty-Eighth AAAI Conference on Artificial Intelligence, Vancouver, BC Canada, 20–27 February 2024. Washington, DC United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v38i12.29235 |
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2022 Conference Publication Preferences on a budget: prioritizing document pairs when crowdsourcing relevance judgmentsRoitero, Kevin, Checco, Alessandro, Mizzaro, Stefano and Demartini, Gianluca (2022). Preferences on a budget: prioritizing document pairs when crowdsourcing relevance judgments. ACM Web Conference, Virtual/Lyon, France, 25-29 April 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3485447.3511960 |
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2020 Conference Publication Can the crowd identify misinformation objectively?: The effects of judgment scale and assessor's backgroundRoitero, Kevin, Soprano, Michael, Fan, Shaoyang, Spina, Damiano, Mizzaro, Stefano and Demartini, Gianluca (2020). Can the crowd identify misinformation objectively?: The effects of judgment scale and assessor's background. International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, China, 25-30 July 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3397271.3401112 |
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2020 Conference Publication On understanding data worker interaction behaviorsHan, Lei, Chen, Tianwa, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2020). On understanding data worker interaction behaviors. SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval, Virtual Event China, July 2020. New York, United States: Association for Computing Machinery. doi: 10.1145/3397271.3401059 |
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2019 Conference Publication Scalpel-CD: leveraging crowdsourcing and deep probabilistic modeling for debugging noisy training dataYang, Jie, Demartini, Gianluca, Smirnova, Alisa, Lu, Yuan, Yang, Dingqi and Cudré-Mauroux, Philippe (2019). Scalpel-CD: leveraging crowdsourcing and deep probabilistic modeling for debugging noisy training data. World Wide Web Conference (WWW), San Francisco, CA, United States, 13-17 May 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3308558.3313599 |
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2015 Conference Publication The dynamics of micro-task crowdsourcing: the case of amazon MTurkDifallah, Djellel Eddine, Catasta, Michele, Demartini, Gianluca, Ipeirotis, Panagiotis G. and Cudré-Mauroux, Philippe (2015). The dynamics of micro-task crowdsourcing: the case of amazon MTurk. 24th International Conference on World Wide Web, WWW 2015, Florence, Italy, 18 - 22 May 2015. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2736277.2741685 |
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2015 Conference Publication Understanding malicious behavior in crowdsourcing platforms: the case of online surveysGadiraju, Ujwal, Kawase, Ricardo, Dietze, Stefan and Demartini, Gianluca (2015). Understanding malicious behavior in crowdsourcing platforms: the case of online surveys. 33rd Annual CHI Conference on Human Factors in Computing Systems - CHI'15, Seoul, South Korea, 18 - 23 April 2015. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2702123.2702443 |
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2024 Conference Publication Hate speech detection with generalizable target-aware fairnessChen, Tong, Wang, Danny, Liang, Xurong, Risius, Marten, Demartini, Gianluca and Yin, Hongzhi (2024). Hate speech detection with generalizable target-aware fairness. KDD '24: 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, 25-29 August 2024. New York, NY, United States: ACM. doi: 10.1145/3637528.3671821 |
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2024 Conference Publication Fairness without sensitive attributes via knowledge sharingNi, Hongliang, Han, Lei, Chen, Tong, Sadiq, Shazia and Demartini, Gianluca (2024). Fairness without sensitive attributes via knowledge sharing. 2024 ACM Conference on Fairness, Accountability, and Transparency, Rio de Janeiro, Brazil, 3-6 June 2024. New York, NY, United States: ACM. doi: 10.1145/3630106.3659014 |
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2024 Conference Publication How good are LLMs in generating personalized advertisements?Meguellati, Elyas, Han, Lei, Bernstein, Abraham, Sadiq, Shazia and Demartini, Gianluca (2024). How good are LLMs in generating personalized advertisements?. WWW '24: The ACM Web Conference 2024, Singapore, 13-17 May 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3589335.3651520 |
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2024 Conference Publication Which legal requirements are relevant to a business process? Comparing AI-driven methods as expert aidSai, Catherine, Sadiq, Shazia, Han, Lei, Demartini, Gianluca and Rinderle-Ma, Stefanie (2024). Which legal requirements are relevant to a business process? Comparing AI-driven methods as expert aid. 18th International Conference, RCIS 2024, Guimarães, Portugal, 14-17 May 2024. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-59465-6_11 |
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2024 Conference Publication Stochastic Featurization for Active LearningLe, Linh, Nguyen, Minh-Tien, Tran, Khai Phan, Zhao, Genghong, Xia, Zhang, Zuccon, Guido and Demartini, Gianluca (2024). Stochastic Featurization for Active Learning. Second International Workshop, TAI4H 2024, Jeju, South Korea, 4 August 2024. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-67751-9_5 |
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2023 Conference Publication Exploring data workers’ behaviours in data quality discoveryChen, Tianwa, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2023). Exploring data workers’ behaviours in data quality discovery. Australasian Conferences on Information Systems 2023, Wellington, New Zealand, 5-8 December 2023. Atlanta, GA USA: Association for Information Systems. |
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2023 Conference Publication Perspectives on large language models for relevance judgmentFaggioli, Guglielmo, Dietz, Laura, Clarke, Charles L. A., Demartini, Gianluca, Hagen, Matthias, Hauff, Claudia, Kando, Noriko, Kanoulas, Evangelos, Potthast, Martin, Stein, Benno and Wachsmuth, Henning (2023). Perspectives on large language models for relevance judgment. 13th ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR), Taipei, Taiwan, 23 July 2023. New York, United States: Association for Computing Machinery. doi: 10.1145/3578337.3605136 |
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2023 Conference Publication On the impact of data quality on image classification fairnessBarry, Aki, Han, Lei and Demartini, Gianluca (2023). On the impact of data quality on image classification fairness. SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, Taipei, Taiwan, 23 - 27 July 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3539618.3592031 |
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2023 Conference Publication Firearms on Twitter: A novel object detection pipelineHarvey, Ryan, Lebret, Rémi, Massonnet, Stéphane, Aberer, Karl and Demartini, Gianluca (2023). Firearms on Twitter: A novel object detection pipeline. Seventeenth International AAAI Conference on Web and Social Media, Limassol, Cyprus, 5–8 June 2023. Palo Alto, CA United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/icwsm.v17i1.22221 |
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2023 Conference Publication Human-in-the-loop regular expression extraction for single column format inconsistencyYu, Shaochen, Han, Lei, Indulska, Marta, Sadiq, Shazia and Demartini, Gianluca (2023). Human-in-the-loop regular expression extraction for single column format inconsistency. WWW '23: ACM Web Conference 2023, Austin, TX, United States, 30 April - 4 May 2023. New York, United States: Association for Computing Machinery. doi: 10.1145/3543507.3583515 |
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2023 Conference Publication The community notes observatory: can crowdsourced fact-checking be trusted in practice?Righes, Luca, Saeed, Mohammed, Demartini, Gianluca and Papotti, Paolo (2023). The community notes observatory: can crowdsourced fact-checking be trusted in practice?. WW '23 Companion: ACM Web Conference 2023, Austin, TX, United States, 30 April - 4 May 2023. New York, NY, United States: ACM. doi: 10.1145/3543873.3587340 |
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2023 Conference Publication Leveraging Semantic Type Dependencies for Clinical Named Entity RecognitionLe, Linh, Zuccon, Guido, Demartini, Gianluca, Zhao, Genghong and Zhang, Xia (2023). Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition. AMIA 2022 Annual Symposium, Washington, DC United States, 5-9 November 2022. Bethesda, MD United States: American Medical Informatics Association. |
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2022 Conference Publication Automatic identification of 5C vaccine behaviour on social mediaSampath Kumar, Ajay Hemanth, Shausan, Aminath, Demartini, Gianluca and Rahimi, Afshin (2022). Automatic identification of 5C vaccine behaviour on social media. Eighth Workshop on Noisy User-generated Text (W-NUT 2022), Gyeongju, Republic of Korea, 12-17 October 2022. Gyeongju, Republic of Korea: International Conference on Computational Linguistics. |
