Maria Maistro

Maria Maistro

Tenure track adjunkt, Tenure Track Adjunkt

Medlem af:

    ORCID: 0000-0002-7001-4817

    Udgivelsesår:
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    1. 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., s. 1041-1044 4 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    2. Continuation methods and curriculum learning for learning to rank

      Ferro, N., Maistro, Maria, Lucchese, C. & Perego, R., 17 okt. 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. (red.). Association for Computing Machinery, Inc., s. 1523-1526 4 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    3. CENTRE@CLEF2018: Overview of the replicability task

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

      Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt

    4. 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. (red.). Springer, s. 239-246 8 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11018 LNCS).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    5. Udgivet

      Boosting learning to rank with user dynamics and continuation methods

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

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    6. LEARning Next gEneration Rankers (LEARNER 2017)

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

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

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

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

      Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt

    8. AWARE: Exploiting evaluation measures to combine multiple assessors

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

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    9. 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, s. 597-606 10 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    10. Towards a formal framework for utility-oriented measurements of retrieval effectiveness

      Ferrante, M., Ferro, N. & Maistro, Maria, 27 sep. 2015, ICTIR 2015 - Proceedings of the 2015 ACM SIGIR International Conference on the Theory of Information Retrieval. Association for Computing Machinery, Inc., s. 21-30 10 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

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