Maria Maistro

Maria Maistro

Assistant professor, tenure track, Tenure Track Assistant Professor

Member of:


    1. A game of lines: Developing game mechanics for text classification

      Di Nunzio, G. M., Maistro, Maria & Zilio, D., 1 Jan 2017, In: CEUR Workshop Proceedings. 1911, p. 40-47 8 p.

      Research output: Contribution to journalConference articleResearchpeer-review

    2. AWARE: Exploiting evaluation measures to combine multiple assessors

      Ferrante, M., Ferro, N. & Maistro, Maria, 1 Aug 2017, In: ACM Transactions on Information Systems. 36, 2, 20.

      Research output: Contribution to journalJournal articleResearchpeer-review

    3. Adapting information retrieval to user signals via stochastic models

      Maistro, Maria, 2 Feb 2017, WSDM 2017 - Proceedings of the 10th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc., 1 p.

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    4. Published

      An in-depth investigation on the behavior of measures to quantify reproducibility

      Maistro, Maria, Breuer, T., Schaer, P. & Ferro, N., 2023, In: Information Processing and Management. 60, 3, 39 p., 103332.

      Research output: Contribution to journalJournal articleResearchpeer-review

    5. Published

      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, Maria, Ruotsalo, Tuukka & 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. 2572-2582

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    6. Basis of a formal framework for information retrieval evaluation measurements

      Ferrante, M., Ferro, N. & Maistro, Maria, 1 Jan 2016, In: CEUR Workshop Proceedings. 1653

      Research output: Contribution to journalConference articleResearchpeer-review

    7. Published

      Boosting learning to rank with user dynamics and continuation methods

      Ferro, N., Lucchese, C., Maistro, Maria & Perego, R., 2020, In: Information Retrieval Journal. 23, p. 528–554

      Research output: Contribution to journalJournal articleResearchpeer-review

    8. Published

      CENTRE@CLEF 2019

      Ferro, N., Fuhr, N., Maistro, Maria, Sakai, T. & Soboroff, I., 2019, Advances in Information Retrieval: 41st European Conference on IR Research, ECIR 2019 Cologne, Germany, April 14–18, 2019 Proceedings. Springer, Vol. 2. p. 283-290 (Lecture Notes in Computer Science, Vol. 11438).

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    9. CENTRE@CLEF2018: Overview of the replicability task

      Ferro, N., Maistro, Maria, Sakai, T. & Soboroff, I., 1 Jan 2018, In: CEUR Workshop Proceedings. 2125

      Research output: Contribution to journalConference articleResearchpeer-review

    10. Continuation methods and curriculum learning for learning to rank

      Ferro, N., Maistro, Maria, Lucchese, C. & Perego, R., 17 Oct 2018, CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management. Paton, N., Candan, S., Wang, H., Allan, J., Agrawal, R., Labrinidis, A., Cuzzocrea, A., Zaki, M., Srivastava, D., Broder, A. & Schuster, A. (eds.). Association for Computing Machinery, Inc., p. 1523-1526 4 p.

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    11. Published

      Crowdsourcing Controller - Utilizing Reliable Agents in a Multiplayer Game

      Lesniak, K. K. & Maistro, Maria, 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 proceedingArticle in proceedingsResearchpeer-review

    12. E-pub ahead of print

      Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study

      Rampisela, Theresia Veronika, Maistro, Maria, Ruotsalo, Tuukka & Lioma, Christina, 2024, (E-pub ahead of print) In: ACM Transactions on Recommender Systems. 55 p.

      Research output: Contribution to journalJournal articleResearchpeer-review

    13. Gamification for IR: The query aspects game

      Di Nunzio, G. M., Maistro, Maria & Zilio, D., 1 Jan 2016, In: CEUR Workshop Proceedings. 1749

      Research output: Contribution to journalConference articleResearchpeer-review

    14. Gamification for machine learning: The classification game

      Nunzio, G. M. D., Maistro, Maria & Zilio, D., 1 Jan 2016, In: CEUR Workshop Proceedings. 1642, p. 45-52 8 p.

      Research output: Contribution to journalConference articleResearchpeer-review

    15. Published

      Graph-Based Recommendation for Sparse and Heterogeneous User Interactions

      Bruun, Simone Borg, Leśniak, K. K., Biasini, M., Carmignani, V., Filianos, P., Lioma, Christina & Maistro, Maria, 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 proceedingArticle in proceedingsResearchpeer-review

    16. Published

      How to Measure the Reproducibility of System-oriented IR Experiments

      Breuer, T., Ferro, N., Fuhr, N., Maistro, Maria, Sakai, T., Schaer, P. & Soboroff, I., 2020, SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 349-358 10 p.

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    17. How to Robustly Combine Judgements from Crowd Assessors with AWARE

      Ferrante, M., Ferro, N. & Maistro, Maria, 1 Jan 2018, In: CEUR Workshop Proceedings. 2161, p. 1DUMMY

      Research output: Contribution to journalConference articleResearchpeer-review

    18. Injecting user models and time into precision via Markov chains

      Ferrante, M., Ferro, N. & Maistro, Maria, 1 Jan 2014, SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. ASSOCIATION FOR COMPUTING MACHINERY. JOU, p. 597-606 10 p.

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    19. LEARning Next gEneration Rankers (LEARNER 2017)

      Ferro, N., Lucchese, C., Maistro, Maria & Perego, R., 1 Oct 2017, ICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval. Association for Computing Machinery, Inc., p. 331-332 2 p.

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    20. Published

      Learning Recommendations from User Actions in the Item-poor Insurance Domain

      Bruun, Simone Borg, Maistro, Maria & Lioma, Christina, 2022, RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc., p. 113-123 11 p.

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    21. Markov Precision: Modelling User Behaviour over Rank and Time Extended Abstract of [1]

      Ferrante, M., Ferro, N. & Maistro, Maria, 1 Jan 2015, In: CEUR Workshop Proceedings. 1404

      Research output: Contribution to journalConference articleResearchpeer-review

    22. Published

      Multi-head Self-attention with Role-Guided Masks

      Wang, D., Hansen, C., Lima, L. C., Hansen, C., Maistro, Maria, Simonsen, Jakob Grue & Lioma, Christina, 2021, Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Proceedings, Part II. Hiemstra, D., Moens, M-F., Mothe, J., Perego, R., Potthast, M. & Sebastiani, F. (eds.). Springer, p. 432-439 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12657 LNCS).

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    23. On Including the user dynamic in learning to rank

      Ferro, N., Lucchese, C., Maistro, Maria & Perego, R., 7 Aug 2017, SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc., p. 1041-1044 4 p.

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    24. Overview of CENTRE@CLEF 2018: A first tale in the systematic reproducibility realm

      Ferro, N., Maistro, Maria, Sakai, T. & Soboroff, I., 1 Jan 2018, Experimental IR Meets Multilinguality, Multimodality, and Interaction - 9th International Conference of the CLEF Association, CLEF 2018, Proceedings. SanJuan, E., Murtagh, F., Nie, J. Y., Soulier, L., Cappellato, L., Bellot, P., Mothe, J., Trabelsi, C. & Ferro, N. (eds.). Springer, p. 239-246 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11018 LNCS).

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    25. Published

      Overview of CENTRE@CLEF 2019: Sequel in the Systematic Reproducibility Realm

      Ferro, N., Fuhr, N., Maistro, Maria, Sakai, T. & Soboroff, I., 2019, Experimental IR Meets Multilinguality, Multimodality, and Interaction: 10th International Conference of the CLEF Association, CLEF 2019 Lugano, Switzerland, September 9–12, 2019 Proceedings. Crestani, F., Braschler, M., Savoy, J., Rauber, A., Müller, H., Losada, D. E., Heinatz Bürki, G., Cappellato, L. & Ferro, N. (eds.). Springer, p. 287-300 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11696 LNCS).

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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