Maria Maistro
Tenure track adjunkt, Tenure Track Adjunkt
Machine Learning
Sigurdsgade 41, 2200 København N.
Danmark
Universitetsparken 1
2100 København Ø
Danmark
Medlem af:
- 2021
- Udgivet
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. (red.). Springer, s. 432-439 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12657 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Principled Multi-Aspect Evaluation Measures of Rankings
Maistro, Maria, Lima, L. C., Simonsen, Jakob Grue & Lioma, Christina, 2021, CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, Inc, s. 1232-1242Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
repro_eval: A Python Interface to Reproducibility Measures of System-Oriented IR Experiments
Breuer, T., Ferro, N., Maistro, Maria & Schaer, P., 2021, Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Proceedings. Hiemstra, D., Moens, M-F., Mothe, J., Perego, R., Potthast, M. & Sebastiani, F. (red.). Springer, s. 481-486 6 s. (Lecture Notes in Computer Science, Bind 12657 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 2020
- 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. 528–554Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
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, s. 349-358 10 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
niversity of Copenhagen Participation in TREC Health Misinformation Track 2020: U
Chaves Lima, L., Wright, ,. D. B., Augenstein, Isabelle & Maistro, Maria, 2020, Proceedings of the Twenty-Ninth Text REtrieval Conference (TREC 2020). Voorhees, E. M. & Ellis, A. (red.). National Institute of Standards and Technology (NIST), 16 s. (NIST Special Publication; Nr. 1266).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 2019
- Udgivet
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, Bind 2. s. 283-290 (Lecture Notes in Computer Science, Bind 11438).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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. (red.). Springer, s. 287-300 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11696 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 2018
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
CENTRE@CLEF2018: Overview of the replicability task
Ferro, N., Maistro, Maria, Sakai, T. & Soboroff, I., 1 jan. 2018, I: CEUR Workshop Proceedings. 2125Publikation: Bidrag til tidsskrift › Konferenceartikel › fagfællebedømt
ID: 210598112
Flest downloads
-
11
downloads
Principled Multi-Aspect Evaluation Measures of Rankings
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Udgivet