Research output per year
Research output per year
Personal profile
Short presentation
Maria Maistro is a post-doctoral researcher in information retrieval (IR) at the Department of Computer science. She holds a PhD in Computer Science, and specifically IR (on the exploitation of user signals and stochastic models for IR evaluation) and an MSc in Mathematics (specialising in probability and stochastic financial methods, operational research, and optimal control theory), both from the University of Padua, Italy. Her research focuses on IR, and particularly on evaluation, reproducibility and replicability, click log analysis, learning to rank, expert search, and machine learning applied to IR. At DIKU she joins the AMAOS project, which uses IR methods for expert search.
Education/Academic qualification
Computer Science, PhD, University of Padua
1 Nov 2014 → 31 Oct 2017
Award Date: 18 Apr 2018
Mathematics, Master Degree, University of Padua
2011 → 2014
Award Date: 21 Mar 2014
External positions
Postdoc
1 Nov 2017 → 31 Dec 2018
Keywords
- Faculty of Science
- Information Retrieval
- Learning to Rank
- Evaluation
- Clicklog Analysis
- Reproducibility
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance
Rampisela, T. V., Ruotsalo, T., Maistro, M. & Lioma, C., 2024, SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc., p. 271-281Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile3 Downloads (Pure) -
Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study
Rampisela, T. V., Maistro, M., Ruotsalo, T. & Lioma, C., 2024, (E-pub ahead of print) In: ACM Transactions on Recommender Systems. 55 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile42 Downloads (Pure) -
An in-depth investigation on the behavior of measures to quantify reproducibility
Maistro, M., Breuer, T., Schaer, P. & Ferro, N., 2023, In: Information Processing and Management. 60, 3, 39 p., 103332.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile6 Citations (Scopus)6 Downloads (Pure) -
Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study
Edin, J., Junge, A., Havtorn, J. D., Borgholt, L., Maistro, M., Ruotsalo, T. & Maaløe, L., 2023, SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc., p. 2572-2582Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile5 Citations (Scopus)6 Downloads (Pure) -
Graph-Based Recommendation for Sparse and Heterogeneous User Interactions
Bruun, S. B., Leśniak, K. K., Biasini, M., Carmignani, V., Filianos, P., Lioma, C. & Maistro, M., 2023, Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings. Kamps, J., Goeuriot, L., Crestani, F., Maistro, M., Joho, H., Davis, B., Gurrin, C., Caputo, A. & Kruschwitz, U. (eds.). Springer, p. 182-199 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13980 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile22 Downloads (Pure) -
On the Ordering of Pooled Web Pages, Gold Assessments, and Bronze Assessments
Sakai, T., Tao, S., Chen, N., Li, Y., Maistro, M., Chu, Z. & Ferro, N., 2023, In: ACM Transactions on Information Systems. 42, 1, 31 p., 23.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile23 Downloads (Pure) -
ReNeuIR at SIGIR 2023: The Second Workshop on Reaching Efficiency in Neural Information Retrieval
Bruch, S., Maistro, M., Mackenzie, J. & Nardini, F. M., 2023, SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc., p. 3456-3459 4 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
1 Citation (Scopus) -
Crowdsourcing Controller - Utilizing Reliable Agents in a Multiplayer Game
Lesniak, K. K. & Maistro, M., 2022, 2022 IEEE Conference on Games, CoG 2022. IEEE Computer Society Press, p. 64-71 8 p. (IEEE Conference on Computatonal Intelligence and Games, CIG, Vol. 2022-August).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
File1 Citation (Scopus)9 Downloads (Pure)
Activities
- 4 Organisation of and participation in conference
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CENTRE@CLEF 2019
Maria Maistro (Organizer)
9 Sep 2019 → 12 Sep 2019Activity: Participating in an event - types › Organisation of and participation in conference
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CENTRE@NTCIR 2019
Maria Maistro (Organizer)
10 Jun 2019 → 13 Dec 2019Activity: Participating in an event - types › Organisation of and participation in conference
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CENTRE@CLEF 2018
Maria Maistro (Organizer)
10 Sep 2018 → 14 Sep 2018Activity: Participating in an event - types › Organisation of and participation in conference
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LEARNER 2017
Maria Maistro (Organizer)
1 Oct 2017Activity: Participating in an event - types › Organisation of and participation in conference