Maria Maistro - RankMe

118 papers A* 12A 6B 1C 1Misc 2Journal 48Unranked 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Can Fairness Be Prompted? Prompt-Based Debiasing Strategies in High-Stakes Recommendations. CoRR Mihaela Rotar, Theresia Veronika Rampisela, Maria Maistro
2026	J	`jnl`	How Context Shapes Truth: Geometric Transformations of Statement-level Truth Representations in LLMs. CoRR Shivam Adarsh, Maria Maistro, Christina Lioma
2026	—	`conf`	Measuring Individual User Fairness with User Similarity and Effectiveness Disparity. ECIR (2) Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsalo, Christina Lioma
2026	J	`jnl`	Measuring Individual User Fairness with User Similarity and Effectiveness Disparity. CoRR Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsalo, Christina Lioma
2026	J	`jnl`	Post-Training Denoising of User Profiles with LLMs in Collaborative Filtering Recommendation. CoRR Ervin Dervishaj, Maria Maistro, Tuukka Ruotsalo, Christina Lioma
2026	—	`conf`	Post-training Denoising of User Profiles with LLMs in Collaborative Filtering Recommendation. ECIR (1) Ervin Dervishaj, Maria Maistro, Tuukka Ruotsalo, Christina Lioma
2026	J	`jnl`	Predicting Document Relevance from Brain Recordings. ACM Trans. Inf. Syst. Vadym Gryshchuk, Maria Maistro, Christina Lioma, Tuukka Ruotsalo
2026	J	`jnl`	Relevance-aware Individual Item Fairness Measures for Recommender Systems: Limitations and Usage Guidelines. Trans. Recomm. Syst. Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsalo, Falk Scholer, Christina Lioma
2025	A	`conf`	"We Share Our Code Online": Why This Is Not Enough to Ensure Reproducibility and Progress in Recommender Systems Research. RecSys Faisal Shehzad, Timo Breuer, Maria Maistro, Dietmar Jannach
2025	—	`conf`	A Reality Check on Context Utilisation for Retrieval-Augmented Generation. ACL (1) Lovisa Hagström, Sara Vera Marjanovic, Haeun Yu, Arnav Arora, Christina Lioma, Maria Maistro, Pepa Atanasova, Isabelle Augenstein
2025	A*	`conf`	An EEG Dataset of Word-level Brain Responses for Semantic Text Relevance. SIGIR Vadym Gryshchuk, Michiel M. A. Spapé, Maria Maistro, Christina Lioma, Tuukka Ruotsalo
2025	—	`conf`	Are Representation Disentanglement and Interpretability Linked in Recommendation Models? - A Critical Review and Reproducibility Study. ECIR (4) Ervin Dervishaj, Tuukka Ruotsalo, Maria Maistro, Christina Lioma
2025	J	`jnl`	Are Representation Disentanglement and Interpretability Linked in Recommendation Models? A Critical Review and Reproducibility Study. CoRR Ervin Dervishaj, Tuukka Ruotsalo, Maria Maistro, Christina Lioma
2025	—	`conf`	As easy as PIE: understanding when pruning causes language models to disagree. NAACL (Findings) Pietro Tropeano, Maria Maistro, Tuukka Ruotsalo, Christina Lioma
2025	J	`jnl`	As easy as PIE: understanding when pruning causes language models to disagree. CoRR Pietro Tropeano, Maria Maistro, Tuukka Ruotsalo, Christina Lioma
2025	J	`jnl`	Culinary Crossroads: A RAG Framework for Enhancing Diversity in Cross-Cultural Recipe Adaptation. CoRR Tianyi Hu, Andrea Morales-Garzón, Jingyi Zheng, Maria Maistro, Daniel Hershcovich
2025	B	`conf`	Decoding Affective States without Labels: Bimodal Image-brain Supervision. ICMI Vadym Gryshchuk, Maria Maistro, Christina Lioma, Tuukka Ruotsalo
2025	—	`conf`	Eval4RAG: Workshop on Evaluation of Retrieval-Augmented Generation Systems. ECIR (5) Eugene Yang, Ronak Pradeep, Dake Zhang, Sean MacAvaney, Maria Maistro, Mohammad Aliannejadi
2025	J	`jnl`	Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study. Trans. Recomm. Syst. Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsalo, Christina Lioma
2025	—	`conf`	Feature Attribution Explanations of Session-Based Recommendations. ECIR (2) Simone Borg Bruun, Maria Maistro, Christina Lioma
2025	J	`jnl`	GIM: Improved Interpretability for Large Language Models. CoRR Joakim Edin, Róbert Csordás, Tuukka Ruotsalo, Zhengxuan Wu, Maria Maistro, Jing Huang, Lars Maaløe
2025	A*	`conf`	Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier. WWW Theresia Veronika Rampisela, Tuukka Ruotsalo, Maria Maistro, Christina Lioma
2025	J	`jnl`	Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier. CoRR Theresia Veronika Rampisela, Tuukka Ruotsalo, Maria Maistro, Christina Lioma
2025	—	`conf`	Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attributions Explainability. ACL (1) Joakim Edin, Andreas Geert Motzfeldt, Casper L. Christensen, Tuukka Ruotsalo, Lars Maaløe, Maria Maistro
2025	—	`conf`	Overview of the NTCIR-18 FairWeb-2 Task. NTCIR Sijie Tao, Tetsuya Sakai, Junjie Wang, Hanpei Fang, Yuxiang Zhang, Haitao Li, Yiteng Tu, Nuo Chen, Maria Maistro
2025	A*	`ed.`	Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 SIGIR Nicola Ferro, Maria Maistro, Gabriella Pasi, Omar Alonso, Andrew Trotman, Suzan Verberne
2025	J	`jnl`	Recommending Target Actions Outside Sessions in the Data-poor Insurance Domain. Trans. Recomm. Syst. Simone Borg Bruun, Christina Lioma, Maria Maistro
2025	J	`jnl`	Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025). SIGIR Forum Johanne R. Trippas, J. Shane Culpepper, Mohammad Aliannejadi, James Allan, Enrique Amigó, Jaime Arguello, Leif Azzopardi, Peter Bailey, Jamie Callan, Rob Capra, Nick Craswell, W. Bruce Croft, Jeff Dalton, Gianluca Demartini, Laura Dietz, Zhicheng Dou, Carsten Eickhoff, Michael D. Ekstrand, Nicola Ferro, Norbert Fuhr, Dorota Glowacka, Faegheh Hasibi, Danula Hettiachchi, Rosie Jones, Jaap Kamps, Noriko Kando, Sarvnaz Karimi, Makoto P. Kato, Bevan Koopman, Yiqun Liu, Chenglong Ma, Joel Mackenzie, Maria Maistro, Jiaxin Mao, Dana McKay, Bhaskar Mitra, Stefano Mizzaro, Alistair Moffat, Josiane Mothe, Iadh Ounis, Lida Rashidi, Yongli Ren, Mark Sanderson, Rodrygo L. T. Santos, Falk Scholer, Chirag Shah, Laurianne Sitbon, Ian Soboroff, Damiano Spina, Paul Thomas, Julián Urbano, Arjen P. de Vries, Ryen White, Abby Yuan, Hamed Zamani, Oleg Zendel, Min Zhang, Shengyao Zhuang, Justin Zobel, Guido Zuccon
2025	A	`conf`	Stairway to Fairness: Connecting Group and Individual Fairness. RecSys Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsalo, Falk Scholer, Christina Lioma
2025	J	`jnl`	Stairway to Fairness: Connecting Group and Individual Fairness. CoRR Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsalo, Falk Scholer, Christina Lioma
2025	J	`jnl`	The Quest for Reliable Metrics of Responsible AI. CoRR Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsalo, Christina Lioma
2024	J	`jnl`	A Reality Check on Context Utilisation for Retrieval-Augmented Generation. CoRR Lovisa Hagström, Sara Vera Marjanovic, Haeun Yu, Arnav Arora, Christina Lioma, Maria Maistro, Pepa Atanasova, Isabelle Augenstein
2024	A*	`conf`	An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records. EMNLP Joakim Edin, Maria Maistro, Lars Maaløe, Lasse Borgholt, Jakob D. Havtorn, Tuukka Ruotsalo
2024	J	`jnl`	An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records. CoRR Joakim Edin, Maria Maistro, Lars Maaløe, Lasse Borgholt, Jakob D. Havtorn, Tuukka Ruotsalo
2024	A*	`conf`	Bridging Cultures in the Kitchen: A Framework and Benchmark for Cross-Cultural Recipe Retrieval. EMNLP Tianyi Hu, Maria Maistro, Daniel Hershcovich
2024	A*	`conf`	Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance. SIGIR Theresia Veronika Rampisela, Tuukka Ruotsalo, Maria Maistro, Christina Lioma
2024	J	`jnl`	Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance. CoRR Theresia Veronika Rampisela, Tuukka Ruotsalo, Maria Maistro, Christina Lioma
2024	—	`conf`	DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models. EMNLP (Findings) Sara Marjanovic, Haeun Yu, Pepa Atanasova, Maria Maistro, Christina Lioma, Isabelle Augenstein
2024	A*	`conf`	Dataset and Models for Item Recommendation Using Multi-Modal User Interactions. SIGIR Simone Borg Bruun, Krisztian Balog, Maria Maistro
2024	J	`jnl`	Dataset and Models for Item Recommendation Using Multi-Modal User Interactions. CoRR Simone Borg Bruun, Krisztian Balog, Maria Maistro
2024	—	`ch.`	Evaluation of IR Systems. Information Retrieval: Advanced Topics and Techniques Nicola Ferro, Maria Maistro
2024	J	`jnl`	From Internal Conflict to Contextual Adaptation of Language Models. CoRR Sara Vera Marjanovic, Haeun Yu, Pepa Atanasova, Maria Maistro, Christina Lioma, Isabelle Augenstein
2024	J	`jnl`	Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attribution Explainability. CoRR Joakim Edin, Andreas Geert Motzfeldt, Casper L. Christensen, Tuukka Ruotsalo, Lars Maaløe, Maria Maistro
2024	J	`jnl`	On the Ordering of Pooled Web Pages, Gold Assessments, and Bronze Assessments. ACM Trans. Inf. Syst. Tetsuya Sakai, Sijie Tao, Nuo Chen, Yujing Li, Maria Maistro, Zhumin Chu, Nicola Ferro
2024	J	`jnl`	Recommending Target Actions Outside Sessions in the Data-poor Insurance Domain. CoRR Simone Borg Bruun, Christina Lioma, Maria Maistro
2024	J	`jnl`	Report on the SIGIR 2024 Session on Women in IR (WIR). SIGIR Forum Nazli Goharian, Faegheh Hasibi, Maria Maistro, Suzan Verberne
2024	J	`jnl`	Special Section on Efficiency in Neural Information Retrieval. ACM Trans. Inf. Syst. Sebastian Bruch, Claudio Lucchese, Maria Maistro, Franco Maria Nardini
2024	—	`conf`	Toward Evaluating the Reproducibility of Information Retrieval Systems with Simulated Users. ACM-REP Timo Breuer, Maria Maistro
2023	—	`ed.`	Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, Proceedings, Part I ECIR (1) Jaap Kamps, Lorraine Goeuriot, Fabio Crestani, Maria Maistro, Hideo Joho, Brian Davis, Cathal Gurrin, Udo Kruschwitz, Annalina Caputo
2023	—	`ed.`	Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, Proceedings, Part II ECIR (2) Jaap Kamps, Lorraine Goeuriot, Fabio Crestani, Maria Maistro, Hideo Joho, Brian Davis, Cathal Gurrin, Udo Kruschwitz, Annalina Caputo
2023	—	`ed.`	Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, Proceedings, Part III ECIR (3) Jaap Kamps, Lorraine Goeuriot, Fabio Crestani, Maria Maistro, Hideo Joho, Brian Davis, Cathal Gurrin, Udo Kruschwitz, Annalina Caputo
2023	J	`jnl`	An in-depth investigation on the behavior of measures to quantify reproducibility. Inf. Process. Manag. Maria Maistro, Timo Breuer, Philipp Schaer, Nicola Ferro
2023	A*	`conf`	Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study. SIGIR Joakim Edin, Alexander Junge, Jakob D. Havtorn, Lasse Borgholt, Maria Maistro, Tuukka Ruotsalo, Lars Maaløe
2023	J	`jnl`	Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study. CoRR Joakim Edin, Alexander Junge, Jakob D. Havtorn, Lasse Borgholt, Maria Maistro, Tuukka Ruotsalo, Lars Maaløe
2023	J	`jnl`	Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study. CoRR Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsalo, Christina Lioma
2023	—	`conf`	Graph-Based Recommendation for Sparse and Heterogeneous User Interactions. ECIR (1) Simone Borg Bruun, Kacper Kenji Lesniak, Mirko Biasini, Vittorio Carmignani, Panagiotis Filianos, Christina Lioma, Maria Maistro
2023	J	`jnl`	Graph-based Recommendation for Sparse and Heterogeneous User Interactions. CoRR Simone Borg Bruun, Kacper Kenji Lesniak, Mirko Biasini, Vittorio Carmignani, Panagiotis Filianos, Christina Lioma, Maria Maistro
2023	—	`conf`	Overview of the NTCIR-17 FairWeb-1 Task. NTCIR Sijie Tao, Nuo Chen, Tetsuya Sakai, Zhumin Chu, Hiromi Arai, Ian Soboroff, Nicola Ferro, Maria Maistro
2023	A*	`conf`	ReNeuIR at SIGIR 2023: The Second Workshop on Reaching Efficiency in Neural Information Retrieval. SIGIR Sebastian Bruch, Joel Mackenzie, Maria Maistro, Franco Maria Nardini
2023	J	`jnl`	Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education. SIGIR Forum 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
2022	J	`jnl`	Corrected Evaluation Results of the NTCIR WWW-2, WWW-3, and WWW-4 English Subtasks. CoRR Tetsuya Sakai, Sijie Tao, Maria Maistro, Zhumin Chu, Yujing Li, Nuo Chen, Nicola Ferro, Junjie Wang, Ian Soboroff, Yiqun Liu
2022	C	`conf`	Crowdsourcing Controller - Utilizing Reliable Agents in a Multiplayer Game. CoG Kacper Kenji Lesniak, Maria Maistro
2022	J	`jnl`	Crowdsourcing Controller - Utilizing Reliable Agents in a Multiplayer Game. CoRR Kacper Kenji Lesniak, Maria Maistro
2022	J	`jnl`	FullBrain: a Social E-learning Platform. CoRR Mirko Biasini, Vittorio Carmignani, Nicola Ferro, Panagiotis Filianos, Maria Maistro, Giorgio Maria Di Nunzio
2022	A	`conf`	Learning Recommendations from User Actions in the Item-poor Insurance Domain. RecSys Simone Borg Bruun, Maria Maistro, Christina Lioma
2022	J	`jnl`	Learning Recommendations from User Actions in the Item-poor Insurance Domain. CoRR Simone Borg Bruun, Maria Maistro, Christina Lioma
2022	—	`conf`	Overview of the NTCIR-16 We Want Web with CENTRE (WWW-4) Task. NTCIR Tetsuya Sakai, Sijie Tao, Zhumin Chu, Maria Maistro, Yujing Li, Nuo Chen, Nicola Ferro, Junjie Wang, Ian Soboroff, Yiqun Liu
2022	J	`jnl`	Principled Multi-Aspect Evaluation Measures of Rankings. CoRR Maria Maistro, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma
2022	J	`jnl`	Report on the Malawi Data Science Bootcamp 2021. SIGKDD Explor. Reuben Moyo, Stanley Ndebvu, Michael Zimba, Martin Dybdal, Maria Maistro, Benjamin Balder Bach
2022	J	`jnl`	Report on the SIGIR 2022 Session on Women in IR (WIR). SIGIR Forum Nazli Goharian, Faegheh Hasibi, Maria Maistro, Suzan Verberne
2022	J	`jnl`	repro_eval: A Python Interface to Reproducibility Measures of System-oriented IR Experiments. CoRR Timo Breuer, Nicola Ferro, Maria Maistro, Philipp Schaer
2021	—	`ed.`	Experimental IR Meets Multilinguality, Multimodality, and Interaction - 12th International Conference of the CLEF Association, CLEF 2021, Virtual Event, September 21-24, 2021, Proceedings CLEF K. Selçuk Candan, Bogdan Ionescu, Lorraine Goeuriot, Birger Larsen, Henning Müller, Alexis Joly, Maria Maistro, Florina Piroi, Guglielmo Faggioli, Nicola Ferro
2021	—	`conf`	FullBrain: a Social E-learning Platform. IRCDL Mirko Biasini, Vittorio Carmignani, Nicola Ferro, Panagiotis Filianos, Maria Maistro, Giorgio Maria Di Nunzio
2021	—	`conf`	Multi-head Self-attention with Role-Guided Masks. ECIR (2) Dongsheng Wang, Casper Hansen, Lucas Chaves Lima, Christian Hansen, Maria Maistro, Jakob Grue Simonsen, Christina Lioma
2021	—	`conf`	Overview of the TREC 2021 Health Misinformation Track. TREC Charles L. A. Clarke, Maria Maistro, Mark D. Smucker
2021	A	`conf`	Principled Multi-Aspect Evaluation Measures of Rankings. CIKM Maria Maistro, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma
2021	—	`ed.`	Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to - 24th, 2021. CLEF (Working Notes) Guglielmo Faggioli, Nicola Ferro, Alexis Joly, Maria Maistro, Florina Piroi
2021	J	`jnl`	Report on the 12th conference and labs of the evaluation forum (CLEF 2021): experimental IR meets multilinguality, multimodality, and interaction. SIGIR Forum K. Selçuk Candan, Guglielmo Faggioli, Nicola Ferro, Lorraine Goeuriot, Bogdan Ionescu, Alexis Joly, Birger Larsen, Maria Maistro, Henning Müller, Florina Piroi
2021	J	`jnl`	University of Copenhagen Participation in TREC Health Misinformation Track 2020. CoRR Lucas Chaves Lima, Dustin Brandon Wright, Isabelle Augenstein, Maria Maistro
2021	—	`conf`	repro_eval: A Python Interface to Reproducibility Measures of System-Oriented IR Experiments. ECIR (2) Timo Breuer, Nicola Ferro, Maria Maistro, Philipp Schaer
2020	J	`jnl`	Boosting learning to rank with user dynamics and continuation methods. Inf. Retr. J. Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
2020	J	`jnl`	Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19. CoRR Lucas Chaves Lima, Casper Hansen, Christian Hansen, Dongsheng Wang, Maria Maistro, Birger Larsen, Jakob Grue Simonsen, Christina Lioma
2020	A*	`conf`	How to Measure the Reproducibility of System-oriented IR Experiments. SIGIR Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Soboroff
2020	J	`jnl`	How to Measure the Reproducibility of System-oriented IR Experiments. CoRR Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Soboroff
2020	—	`conf`	Improving Learning to Rank By Leveraging User Dynamics and Continuation Methods. SEBD Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
2020	J	`jnl`	Multi-Head Self-Attention with Role-Guided Masks. CoRR Dongsheng Wang, Casper Hansen, Lucas Chaves Lima, Christian Hansen, Maria Maistro, Jakob Grue Simonsen, Christina Lioma
2020	—	`conf`	Overview of the NTCIR-15 We Want Web with CENTRE (WWW-3) Task. NTCIR Tetsuya Sakai, Sijie Tao, Zhaohao Zeng, Yukun Zheng, Jiaxin Mao, Zhumin Chu, Yiqun Liu, Maria Maistro, Zhicheng Dou, Nicola Ferro, Ian Soboroff
2020	—	`conf`	Overview of the TREC 2020 Health Misinformation Track. TREC Charles L. A. Clarke, Saira Rizvi, Mark D. Smucker, Maria Maistro, Guido Zuccon
2020	—	`conf`	University of Copenhagen Participation in TREC Health Misinformation Track 2020. TREC Lucas Chaves Lima, Dustin Brandon Wright, Isabelle Augenstein, Maria Maistro
2019	—	`conf`	CENTRE@CLEF 2019. ECIR (2) Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Ian Soboroff
2019	—	`conf`	CENTRE@CLEF2019: Overview of the Replicability and Reproducibility Tasks. CLEF (Working Notes) Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Ian Soboroff
2019	—	`conf`	Overview of CENTRE@CLEF 2019: Sequel in the Systematic Reproducibility Realm. CLEF Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Ian Soboroff
2019	—	`conf`	Overview of the NTCIR-14 CENTRE Task. NTCIR Tetsuya Sakai, Nicola Ferro, Ian Soboroff, Zhaohao Zeng, Peng Xiao, Maria Maistro
2018	—	`conf`	A Gamified Approach to Naïve Bayes Classification: A Case Study for Newswires and Systematic Medical Reviews. WWW (Companion Volume) Giorgio Maria Di Nunzio, Maria Maistro, Federica Vezzani
2018	—	`conf`	A Preliminary Comparison of Job, Talent, and Web Search. IIR Damiano Spina, Maria Maistro, Yongli Ren, Sargol Sadeghi, Wilson Wong, Timothy Baldwin, Lawrence Cavedon, Alistair Moffat, Mark Sanderson, Falk Scholer, Justin Zobel
2018	—	`conf`	CENTRE@CLEF2018: Overview of the Replicability Task. CLEF (Working Notes) Nicola Ferro, Maria Maistro, Tetsuya Sakai, Ian Soboroff
2018	A	`conf`	Continuation Methods and Curriculum Learning for Learning to Rank. CIKM Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
2018	J	`jnl`	Exploiting User Signals and Stochastic Models to Improve Information Retrieval Systems and Evaluation. SIGIR Forum Maria Maistro
2018	—	`conf`	How to Robustly Combine Judgements from Crowd Assessors with AWARE. SEBD Marco Ferrante, Nicola Ferro, Maria Maistro
2018	—	`conf`	Overview of CENTRE@CLEF 2018: A First Tale in the Systematic Reproducibility Realm. CLEF Nicola Ferro, Maria Maistro, Tetsuya Sakai, Ian Soboroff
2018	—	`conf`	Thirty Years of Digital Libraries Research at the University of Padua: The User Side. IRCDL Maristella Agosti, Giorgio Maria Di Nunzio, Nicola Ferro, Maria Maistro, Stefano Marchesin, Nicola Orio, Chiara Ponchia, Gianmaria Silvello
2017	—	`conf`	A Game of Lines: Developing Game Mechanics for Text Classification. IIR Giorgio Maria Di Nunzio, Maria Maistro, Daniel Zilio
2017	J	`jnl`	AWARE: Exploiting Evaluation Measures to Combine Multiple Assessors. ACM Trans. Inf. Syst. Marco Ferrante, Nicola Ferro, Maria Maistro
2017	A	`conf`	Adapting Information Retrieval to User Signals via Stochastic Models. WSDM Maria Maistro
2017	Misc	`conf`	LEARning Next gEneration Rankers (LEARNER 2017). ICTIR Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
2017	A*	`conf`	On Including the User Dynamic in Learning to Rank. SIGIR Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
2017	—	`ed.`	Proceedings of the 1st International Workshop on LEARning Next gEneration Rankers co-located with the 3rd ACM International Conference on the Theory of Information Retrieval (ICTIR 2017), Amsterdam, The Netherlands, October 1, 2017. LEARNER@ICTIR Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
2017	J	`jnl`	Report on LEARNER 2017: 1st International Workshop on LEARning Next gEneration Rankers. SIGIR Forum Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
2017	—	`conf`	Understanding User Behavior in Job and Talent Search: An Initial Investigation. eCOM@SIGIR Damiano Spina, Maria Maistro, Yongli Ren, Sargol Sadeghi, Wilson Wong, Timothy Baldwin, Lawrence Cavedon, Alistair Moffat, Mark Sanderson, Falk Scholer, Justin Zobel
2016	—	`conf`	Basis of a Formal Framework for Information Retrieval Evaluation Measurements. IIR Nicola Ferro, Marco Ferrante, Maria Maistro
2016	—	`conf`	Gamification for IR: The Query Aspects Game. CLiC-it/EVALITA Giorgio Maria Di Nunzio, Maria Maistro, Daniel Zilio
2016	—	`conf`	Gamification for Machine Learning: The Classification Game. GamifIR@SIGIR Giorgio Maria Di Nunzio, Maria Maistro, Daniel Zilio
2016	—	`conf`	The University of Padua (IMS) at TREC 2016 Total Recall Track. TREC Giorgio Maria Di Nunzio, Maria Maistro, Daniel Zilio
2015	—	`conf`	Improving Information Retrieval Evaluation via Markovian User Models and Visual Analytics. FDIA Maria Maistro
2015	—	`conf`	Markov Precision: Modelling User Behaviour over Rank and Time. IIR Marco Ferrante, Nicola Ferro, Maria Maistro
2015	Misc	`conf`	Towards a Formal Framework for Utility-oriented Measurements of Retrieval Effectiveness. ICTIR Marco Ferrante, Nicola Ferro, Maria Maistro
2014	A*	`conf`	Injecting user models and time into precision via Markov chains. SIGIR Marco Ferrante, Nicola Ferro, Maria Maistro
2014	—	`conf`	Rethinking How to Extend Average Precision to Graded Relevance. CLEF Marco Ferrante, Nicola Ferro, Maria Maistro