Maria Maistro

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 65

Top Topics

Stochastic Models

Bayes Classification

Information Retrieval

Average Precision

Top Venues

Publications

Simone Borg Bruun, Krisztian Balog, Maria Maistro
Dataset and Models for Item Recommendation Using Multi-Modal User Interactions. CoRR (2024)
Joakim Edin, Maria Maistro, Lars Maaløe, Lasse Borgholt, Jakob D. Havtorn, Tuukka Ruotsalo
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records. CoRR (2024)
Tetsuya Sakai, Sijie Tao, Nuo Chen, Yujing Li, Maria Maistro, Zhumin Chu, Nicola Ferro
On the Ordering of Pooled Web Pages, Gold Assessments, and Bronze Assessments. ACM Trans. Inf. Syst. 42 (1) (2024)
Simone Borg Bruun, Christina Lioma, Maria Maistro
Recommending Target Actions Outside Sessions in the Data-poor Insurance Domain. CoRR (2024)
Theresia Veronika Rampisela, Tuukka Ruotsalo, Maria Maistro, Christina Lioma
Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance. SIGIR (2024)
Sara Vera Marjanovic, Haeun Yu, Pepa Atanasova, Maria Maistro, Christina Lioma, Isabelle Augenstein
From Internal Conflict to Contextual Adaptation of Language Models. CoRR (2024)
Simone Borg Bruun, Krisztian Balog, Maria Maistro
Dataset and Models for Item Recommendation Using Multi-Modal User Interactions. SIGIR (2024)
Sebastian Bruch, Claudio Lucchese, Maria Maistro, Franco Maria Nardini
Special Section on Efficiency in Neural Information Retrieval. ACM Trans. Inf. Syst. 42 (5) (2024)
Theresia Veronika Rampisela, Tuukka Ruotsalo, Maria Maistro, Christina Lioma
Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance. CoRR (2024)
Timo Breuer, Maria Maistro
Toward Evaluating the Reproducibility of Information Retrieval Systems with Simulated Users. ACM-REP (2024)
Joakim Edin, Alexander Junge, Jakob D. Havtorn, Lasse Borgholt, Maria Maistro, Tuukka Ruotsalo, Lars Maaløe
Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study. SIGIR (2023)
Christine Bauer, Ben Carterette, Nicola Ferro, Norbert Fuhr, Joeran Beel, Timo Breuer, Charles L. A. Clarke, Anita Crescenzi, Gianluca Demartini, Giorgio Maria Di Nunzio, Laura Dietz, Guglielmo Faggioli, Bruce Ferwerda, Maik Fröbe, Matthias Hagen, Allan Hanbury, Claudia Hauff, Dietmar Jannach, Noriko Kando, Evangelos Kanoulas, Bart P. Knijnenburg, Udo Kruschwitz, Meijie Li, Maria Maistro, Lien Michiels, Andrea Papenmeier, Martin Potthast, Paolo Rosso, Alan Said, Philipp Schaer, Christin Seifert, Damiano Spina, Benno Stein, Nava Tintarev, Julián Urbano, Henning Wachsmuth, Martijn C. Willemsen, Justin Zobel
Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education. SIGIR Forum 57 (1) (2023)
Simone Borg Bruun, Kacper Kenji Lesniak, Mirko Biasini, Vittorio Carmignani, Panagiotis Filianos, Christina Lioma, Maria Maistro
Graph-Based Recommendation for Sparse and Heterogeneous User Interactions. ECIR (1) (2023)
Joakim Edin, Alexander Junge, Jakob D. Havtorn, Lasse Borgholt, Maria Maistro, Tuukka Ruotsalo, Lars Maaløe
Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study. CoRR (2023)
Simone Borg Bruun, Kacper Kenji Lesniak, Mirko Biasini, Vittorio Carmignani, Panagiotis Filianos, Christina Lioma, Maria Maistro
Graph-based Recommendation for Sparse and Heterogeneous User Interactions. CoRR (2023)
Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsalo, Christina Lioma
Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study. CoRR (2023)
Sebastian Bruch, Joel Mackenzie, Maria Maistro, Franco Maria Nardini
ReNeuIR at SIGIR 2023: The Second Workshop on Reaching Efficiency in Neural Information Retrieval. SIGIR (2023)
Maria Maistro, Timo Breuer, Philipp Schaer, Nicola Ferro
An in-depth investigation on the behavior of measures to quantify reproducibility. Inf. Process. Manag. 60 (3) (2023)
Tetsuya Sakai, Sijie Tao, Maria Maistro, Zhumin Chu, Yujing Li, Nuo Chen, Nicola Ferro, Junjie Wang, Ian Soboroff, Yiqun Liu
Corrected Evaluation Results of the NTCIR WWW-2, WWW-3, and WWW-4 English Subtasks. CoRR (2022)
Maria Maistro, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma
Principled Multi-Aspect Evaluation Measures of Rankings. CoRR (2022)
Simone Borg Bruun, Maria Maistro, Christina Lioma
Learning Recommendations from User Actions in the Item-poor Insurance Domain. CoRR (2022)
Simone Borg Bruun, Maria Maistro, Christina Lioma
Learning Recommendations from User Actions in the Item-poor Insurance Domain. RecSys (2022)
Mirko Biasini, Vittorio Carmignani, Nicola Ferro, Panagiotis Filianos, Maria Maistro, Giorgio Maria Di Nunzio
FullBrain: a Social E-learning Platform. CoRR (2022)
Nazli Goharian, Faegheh Hasibi, Maria Maistro, Suzan Verberne
Report on the SIGIR 2022 Session on Women in IR (WIR). SIGIR Forum 56 (2) (2022)
Kacper Kenji Lesniak, Maria Maistro
Crowdsourcing Controller - Utilizing Reliable Agents in a Multiplayer Game. CoG (2022)
Timo Breuer, Nicola Ferro, Maria Maistro, Philipp Schaer
repro_eval: A Python Interface to Reproducibility Measures of System-oriented IR Experiments. CoRR (2022)
Kacper Kenji Lesniak, Maria Maistro
Crowdsourcing Controller - Utilizing Reliable Agents in a Multiplayer Game. CoRR (2022)
Reuben Moyo, Stanley Ndevbu, Michael Zimba, Martin Dybdal, Maria Maistro, Benjamin Balder Bach
Report on the Malawi Data Science Bootcamp 2021. SIGKDD Explor. 24 (1) (2022)
K. Selçuk Candan, Guglielmo Faggioli, Nicola Ferro, Lorraine Goeuriot, Bogdan Ionescu, Alexis Joly, Birger Larsen, Maria Maistro, Henning Müller, Florina Piroi
Report on the 12th conference and labs of the evaluation forum (CLEF 2021): experimental IR meets multilinguality, multimodality, and interaction. SIGIR Forum 55 (2) (2021)
Charles L. A. Clarke, Maria Maistro, Mark D. Smucker
Overview of the TREC 2021 Health Misinformation Track. TREC (2021)
Dongsheng Wang, Casper Hansen, Lucas Chaves Lima, Christian Hansen, Maria Maistro, Jakob Grue Simonsen, Christina Lioma
Multi-head Self-attention with Role-Guided Masks. ECIR (2) (2021)
Timo Breuer, Nicola Ferro, Maria Maistro, Philipp Schaer
repro_eval: A Python Interface to Reproducibility Measures of System-Oriented IR Experiments. ECIR (2) (2021)
Mirko Biasini, Vittorio Carmignani, Nicola Ferro, Panagiotis Filianos, Maria Maistro, Giorgio Maria Di Nunzio
FullBrain: a Social E-learning Platform. IRCDL (2021)
Maria Maistro, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma
Principled Multi-Aspect Evaluation Measures of Rankings. CIKM (2021)
Lucas Chaves Lima, Dustin Brandon Wright, Isabelle Augenstein, Maria Maistro
University of Copenhagen Participation in TREC Health Misinformation Track 2020. CoRR (2021)
Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Soboroff
How to Measure the Reproducibility of System-oriented IR Experiments. SIGIR (2020)
Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
Boosting learning to rank with user dynamics and continuation methods. Inf. Retr. J. 23 (6) (2020)
Lucas Chaves Lima, Casper Hansen, Christian Hansen, Dongsheng Wang, Maria Maistro, Birger Larsen, Jakob Grue Simonsen, Christina Lioma
Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19. CoRR (2020)
Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
Improving Learning to Rank By Leveraging User Dynamics and Continuation Methods. SEBD (2020)
Charles L. A. Clarke, Saira Rizvi, Mark D. Smucker, Maria Maistro, Guido Zuccon
Overview of the TREC 2020 Health Misinformation Track. TREC (2020)
Dongsheng Wang, Casper Hansen, Lucas Chaves Lima, Christian Hansen, Maria Maistro, Jakob Grue Simonsen, Christina Lioma
Multi-Head Self-Attention with Role-Guided Masks. CoRR (2020)
Lucas Chaves Lima, Dustin Brandon Wright, Isabelle Augenstein, Maria Maistro
University of Copenhagen Participation in TREC Health Misinformation Track 2020. TREC (2020)
Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Soboroff
How to Measure the Reproducibility of System-oriented IR Experiments. CoRR (2020)
Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Ian Soboroff
Overview of CENTRE@CLEF 2019: Sequel in the Systematic Reproducibility Realm. CLEF (2019)
Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Ian Soboroff
CENTRE@CLEF 2019. ECIR (2) (2019)
Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Ian Soboroff
CENTRE@CLEF2019: Overview of the Replicability and Reproducibility Tasks. CLEF (Working Notes) (2019)
Damiano Spina, Maria Maistro, Yongli Ren, Sargol Sadeghi, Wilson Wong, Timothy Baldwin, Lawrence Cavedon, Alistair Moffat, Mark Sanderson, Falk Scholer, Justin Zobel
A Preliminary Comparison of Job, Talent, and Web Search. IIR (2018)
Nicola Ferro, Maria Maistro, Tetsuya Sakai, Ian Soboroff
CENTRE@CLEF2018: Overview of the Replicability Task. CLEF (Working Notes) (2018)
Nicola Ferro, Maria Maistro, Tetsuya Sakai, Ian Soboroff
Overview of CENTRE@CLEF 2018: A First Tale in the Systematic Reproducibility Realm. CLEF (2018)
Marco Ferrante, Nicola Ferro, Maria Maistro
How to Robustly Combine Judgements from Crowd Assessors with AWARE. SEBD (2018)
Giorgio Maria Di Nunzio, Maria Maistro, Federica Vezzani
A Gamified Approach to Naïve Bayes Classification: A Case Study for Newswires and Systematic Medical Reviews. WWW (Companion Volume) (2018)
Maristella Agosti, Giorgio Maria Di Nunzio, Nicola Ferro, Maria Maistro, Stefano Marchesin, Nicola Orio, Chiara Ponchia, Gianmaria Silvello
Thirty Years of Digital Libraries Research at the University of Padua: The User Side. IRCDL (2018)
Maria Maistro
Exploiting User Signals and Stochastic Models to Improve Information Retrieval Systems and Evaluation. SIGIR Forum 52 (2) (2018)
Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
Continuation Methods and Curriculum Learning for Learning to Rank. CIKM (2018)
Damiano Spina, Maria Maistro, Yongli Ren, Sargol Sadeghi, Wilson Wong, Timothy Baldwin, Lawrence Cavedon, Alistair Moffat, Mark Sanderson, Falk Scholer, Justin Zobel
Understanding User Behavior in Job and Talent Search: An Initial Investigation. eCOM@SIGIR (2017)
Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
LEARning Next gEneration Rankers (LEARNER 2017). ICTIR (2017)
Maria Maistro
Adapting Information Retrieval to User Signals via Stochastic Models. WSDM (2017)
Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
On Including the User Dynamic in Learning to Rank. SIGIR (2017)
Marco Ferrante, Nicola Ferro, Maria Maistro
AWARE: Exploiting Evaluation Measures to Combine Multiple Assessors. ACM Trans. Inf. Syst. 36 (2) (2017)
Giorgio Maria Di Nunzio, Maria Maistro, Daniel Zilio
A Game of Lines: Developing Game Mechanics for Text Classification. IIR (2017)
Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
Report on LEARNER 2017: 1st International Workshop on LEARning Next gEneration Rankers. SIGIR Forum 51 (3) (2017)
Giorgio Maria Di Nunzio, Maria Maistro, Daniel Zilio
The University of Padua (IMS) at TREC 2016 Total Recall Track. TREC (2016)
Giorgio Maria Di Nunzio, Maria Maistro, Daniel Zilio
Gamification for Machine Learning: The Classification Game. GamifIR@SIGIR (2016)
Nicola Ferro, Marco Ferrante, Maria Maistro
Basis of a Formal Framework for Information Retrieval Evaluation Measurements. IIR (2016)
Giorgio Maria Di Nunzio, Maria Maistro, Daniel Zilio
Gamification for IR: The Query Aspects Game. CLiC-it/EVALITA (2016)
Marco Ferrante, Nicola Ferro, Maria Maistro
Towards a Formal Framework for Utility-oriented Measurements of Retrieval Effectiveness. ICTIR (2015)
Marco Ferrante, Nicola Ferro, Maria Maistro
Markov Precision: Modelling User Behaviour over Rank and Time. IIR (2015)
Maria Maistro
Improving Information Retrieval Evaluation via Markovian User Models and Visual Analytics. FDIA (2015)
Marco Ferrante, Nicola Ferro, Maria Maistro
Rethinking How to Extend Average Precision to Graded Relevance. CLEF (2014)
Marco Ferrante, Nicola Ferro, Maria Maistro
Injecting user models and time into precision via Markov chains. SIGIR (2014)