Publications
Journal papers
Lorenzo Volpi, Alejandro Moreo, Fabrizio Sebastiani. QuAcc: Using Quantification to Predict Classifier Accuracy Under Prior Probability Shift. Intelligenza Artificiale, 2025. [link]
Alejandro Moreo, Pablo González, Juan José del Coz. Kernel Density Estimation for Multiclass Quantification. Machine Learning journal, vol 114, no 92, 2025. [link]
Washington Cunha, Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani, Leonardo Rocha, Marcos André Gonçalves. A Noise-Oriented and Redundancy-Aware Instance Selection Framework. ACM Transactions on Information Systems, vol 43, issue 2, no 45, pp 1-33, 2025. [link]
Olaya Pérez-Mon, Alejandro Moreo, Juan José del Coz, Pablo González. Quantification using Permutation-Invariant Networks based on Histograms. Neural Computing and Applications, vol 37, pp. 3505–3520, 2025. [link]
Mattia Setzu, Silvia Corbara, Anna Monreale, Alejandro Moreo, Fabrizio Sebastiani. Explainable Authorship Identification in Cultural Heritage Applications. ACM Journal of Computing and Cultural Heritage, vol 17, issue 3, no 44, pp 1-23, 2024 [arXiv] [link]
Pablo González, Alejandro Moreo, Fabrizio Sebastiani. Binary Quantification and Dataset Shift: An Experimental Investigation Data Mining and Knowledge Discovery, vol 38, pp 1670–1712, 2024 [arXiv], [link]
Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz. Regularization-based methods for ordinal quantification Data Mining and Knowledge Discovery, vol 38, issue 6, pp 4076-4121, 2024 [arXiv] [link]
Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani. Same or Different? Diff-Vectors for Authorship Analysis. ACM Transactions on Knowledge Discovery from Data, vol 18, issue 1, no 12, pp 1-36, DOI 10.1145/3609226, 2023 [link]
Alejandro Moreo, Manuel Francisco, Fabrizio Sebastiani. Multi-Label Quantification. ACM Transactions on Knowledge Discovery from Data, vol 18, issue 1, no 4, pp 1-36, DOI 10.1145/3606264, 2023 [link]
Andrea Esuli, Alessandro Fabris, Alejandro Moreo, Fabrizio Sebastiani. Measuring Fairness under Unawareness of Sensitive Attributes: A Quantification-Based Approach. Journal of Artificial Intelligence Research, vol 76, pp. 1117-1180, DOI 10.1613/jair.1.14033, 2023 [link]
Francesco Banterle, Alessandro Artusi, Alejandro Moreo, Fabio Carrara, Paolo Cignoni NoR-VDPNet++: Real-Time No-Reference Image Quality Metrics, IEEE Access, vol 11, pp. 34544-34553, DOI 10.1109/ACCESS.2023.3263496, 2023 [link] [code]
Alejandro Moreo, Andrea Pedrotti, and Fabrizio Sebastiani. Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification. ACM Transactions on Information Systems, 41 (2), 1-37, 2023. [link] %ISSN: 1046-8188, doi: 10.1145/3544104.
Alejandro Moreo and Fabrizio Sebastiani. Tweet sentiment quantification: An experimental re-evaluation. PLOS ONE 17, 17 (9), 1-23, 2022 [link]
Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani, and Mirko Tavoni, MedLatinEpi and MedLatinLit: Two Datasets for the Computational Authorship Analysis of Medieval Latin Texts ACM Journal of Computing and Cultural Heritage, 16 (3), 1-15 (no. 57), 2022 [link]
Silvia Corbara, Alejandro Moreo, and Fabrizio Sebastiani, Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attribution Journal of the Association for Information Science and Technology., 74 (1), 128-141, 2023 doi: 10.1002/asi.24660 [link]
Alejandro Moreo, Andrea Esuli, and Fabrizio Sebastiani, Word-Class Embeddings for Multiclass Text Classification, Data Mining and Knowledge Discovery, 35 (3), 911-963, 2021 [link]
Alejandro Moreo, Andrea Esuli, and Fabrizio Sebastiani, Lost in Transduction: Transductive Transfer Learning in Text Classification, ACM Transactions on Knowledge Discovery from Data, 16 (1), 1-21, 2021 [link]
Andrea Esuli, Alejandro Moreo, and Fabrizio Sebastiani. Cross-Lingual Sentiment Quantification. IEEE Intelligent Systems. 35 (3), 106-114, 2020 [link]
Alejandro Moreo, Andrea Esuli, and Fabrizio Sebastiani. Learning to weight for text classification. IEEE Transactions on Knowledge and Data Engineering 32 (2), pages 302-316, 2020 %DOI 10.1109/TKDE.2018.2883446 [link]
Alessandro Artusi, Francesco Banterle, Fabio Carrara, and Alejandro Moreo, Efficient Evaluation of Image Quality via Deep-Learning Approximation of Perceptual Metrics IEEE Transactions on Image Processing 29 (1), pages 1843-1855, 2019 [link]
Andrea Esuli, Alejandro Moreo, and Fabrizio Sebastiani. Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and Its Application to Cross-Lingual Text Classification. ACM Transactions on Information Systems (TOIS), 37 (3), 2019. [link]
Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani. Building automated survey coders via interactive machine learning. International Journal of Market Research, pages 1-22, 2019. [link]
Fabio Carrara, Andrea Esuli, Tiziano Fagni, Fabrizio Falchi, Alejandro Moreo. Picture it in your mind: generating high level visual representations from textual descriptions. Information Retrieval Journal, 21(2–3), pages 208-229, 2018. [link]
Alejandro Moreo, Juan Luis Castro, and Jose Manuel Zurita. Towards portable natural language interfaces based on case-based reasoning. Journal of Intelligent Information Systems, pages 1-34, 2017. [link]
Alejandro Moreo, Andrea Esuli and Fabrizio Sebastiani. Lightweight Random Indexing for Polylingual Text Classification. Journal of Artificial Intelligence Research, volume 57, pages 151-185, 2016. [link]
Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani. Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification. Journal of Artificial Intelligence Research, volume 55, pages 131-163, 2016. [link]
Alejandro Moreo, Eduardo Eisman, Juan Luis Castro, and Jose Manuel Zurita. Learning regular expressions to template-based FAQ retrieval systems. Knowledge-Based Systems 53, pages 108-128, 2013. [link]
Manuel Romero, Alejandro Moreo, and Juan Luis Castro. _A cloud of FAQ: A highly-precise FAQ retrieval system for the Web 2.0.* Knowledge-Based Systems 49, pages 81-96, 2013. [link]
Alejandro Moreo, María Navarro, Juan Luis Castro, and Jose Manuel Zurita. A high-performance FAQ retrieval method using minimal differentiator expressions. Knowledge-Based Systems 36, pages 9-20, 2012. [link]
Alejandro Moreo, Manuel Romero, Juan Luis Castro, and Jose Manuel Zurita. FAQtory: A framework to provide high-quality FAQ retrieval systems. Expert Systems with Applications 39.14, pages. 11525-11534, 2012. [link]
Alejandro Moreo, Manuel Romero, Juan Luis Castro, and Jose Manuel Zurita. Lexicon-based comments-oriented news sentiment analyzer system. Expert Systems with Applications 39.10, pages 9166-9180, 2012. [link]
Manuel Romero, Alejandro Moreo, Juan Luis Castro, and Jose Manuel Zurita. Using Wikipedia concepts and frequency in language to extract key terms from support documents. Expert Systems with Applications 39.18, pages 13480-13491, 2012. [link]
Books
- Andrea Esuli, Alessandro Fabris, Alejandro Moreo, Fabrizio Sebastiani. Learning to Quantify. The Information Retrieval Series, vol. 47, p. 1-110, ChengXiang Zhai, Maarten de Rijke, ISBN: 978-3-031-20466-1, ISSN: 2949-8066. [open-access]
Conference papers
International conferences (22 items)
Alejandro Moreo, Nicola Salvati, An Efficient Method for Deriving Confidence Intervals in Aggregative Quantification. Proceedings of the 5th International workshop on Learning to Quantify (LQ 2025), co-located at ECML/PKDD 2025, Porto, Portugal, September 15th, 2025, pp. 12-33. [link]
Lorenzo Volpi, Alejandro Moreo, Fabrizio Sebastiani, A Simple Method for Classifier Accuracy Prediction under Prior Probability Shift. The 27th International Conference on Discovery Science, Pisa, Italy, October 14th to October 16th, 2024. Best SoBigData Paper Runner-up. Lecture Notes in Computer Science, vol 15244. Springer, Cham. pp. 267-283 [link]
Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz, Ordinal Quantification through Regularization. ECML / PKDD 2022, 33rd European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Grenoble, France, September 19-23, 2022, pp. 36-52
Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani, Gianluca Sperduti, A Concise Overview of LeQua@ CLEF 2022: Learning to Quantify, CLEF 2022, Proceedings of the 13th Conference and Labs of the Evaluation Forum, Springer, Cham, 2022, pages 362-381
Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani, Gianluca Sperduti, A Detailed Overview of LeQua@ CLEF 2022: Learning to Quantify, CLEF 2022, Proceedings of the 13th Conference and Labs of the Evaluation Forum, CEUR Workshop Proceedings, 2022, 3180, pp. 1849-1868
Silvia Corbara, Berta Chulvi, Paolo Rosso, Alejandro Moreo, Rythmic and Psycolinguistic Features for Authorship Tasks in the Spanish Parliament: Evaluation and Analysis, CLEF 2022 Conference and Labs of the Evaluation Forum, 2022, pages 79–92
Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani, LeQua@ CLEF2022: Learning to Quantify, ECIR 2022, 44th European Conference on Information Retrieval, Stavanger, NO, 2022, pages 374-381
Silvia Corbara, Berta Chulvi Ferriols, Paolo Rosso, Alejandro Moreo, Investigating topic-agnostic features for authorship tasks in Spanish political speeches, International Conference on Applications of Natural Language to Information Systems, Springer, Cham, 2022, pages 394-402
Juan José del Coz, Pablo González, Alejandro Moreo, Fabrizio Sebastiani, Learning to quantify: Methods and applications (LQ 2021), Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021, pages 4874-4875
Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani, QuaPy: a python-based framework for quantification, Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021, pages 4534-4543
Francesco Banterle, Alessandro Artusi, Alejandro Moreo, Fabio Carrara, NoR-VDPNet++: Efficient Training and Architecture for Deep No-Reference Image Quality Metrics, ACM SIGGRAPH 2021 Talks, 2021
Alejandro Moreo, Fabrizio Sebastiani, Re-Assessing the “Classify and Count” Quantification Method, ECIR 2021, 43rd European Conference on Information Retrieval, Lucca, IT, Volume II, 2021, pages 75-91
Alejandro Moreo, Andrea Pedrotti, Fabrizio Sebastiani, Heterogeneous Document Embeddings for Cross-Lingual Text Classification, SAC 2021, 36th ACM Symposium On Applied Computing, Gwangju, KR, 2021, pages 685-688
Juan José del Coz Velasco, Pablo González González, A Moreo, F Sebastiani, Learning to quantify: methods and applications (LQ 2021), CIKM ’21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management, October 2021, pages 4874–4875
Francesco Banterle, Alessandro Artusi, Alejandro Moreo, Fabio Carrara, Nor-Vdpnet: A No-Reference High Dynamic Range Quality Metric Trained On Hdr-Vdp 2, 2020 IEEE Inter- national Conference on Image Processing (ICIP), 2020, pages 126-130.
Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani, and Mirko Tavoni, The Epistle to Cangrande Through the Lens of Computational Authorship Verification, PATRECH 2019, In- ternational Conference on Image Analysis and Processing, 2019, pages 148-158.
Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani A Recurrent Neural Network for Sentiment Quantification Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018, pages 1775-1778.
Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani Lightweight random indexing for polylingual text classification (Extended Abstract) Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018, Stockholm, Sweden, 13-19 July 2018, pages 5642-5646.
Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani Distributional correspondence indexing for cross-lingual and cross-domain sentiment classification (Extended Abstract) Proceedings of the 27th IJCAI International Joint Conference on Artificial Intelligence, IJCAI 2018, Stockholm, Sweden, 13-19 July 2018, pages 5642-5646.
Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani Distributional Random Oversampling for Imbalanced Text Classification Proceedings of the 39th International ACM SIGIR conference on Research and and Development in Information Retrieval, SIGIR 2016, Pisa, Italy, July 17-21, 2016, pages 805-808.
Salud M Jiménez Zafra, Giacomo Berardi, Andrea Esuli, Diego Marcheggiani, María Teresa Martı́n-Valdivia, Alejandro Moreo A Multi-lingual Annotated Dataset for Aspect-Oriented Opinion Mining Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015, Lisbon, Portugal, 2015, pages 2533-2538.
Andrea Esuli, Alejandro Moreo Distributional Correspondence Indexing for Cross-Language Text Categorization, Proceedings of the European Conference on Information Retrieval, ECIR 2015, Vienna, Austria, 2015, pages 104-109.
Manuel Romero, Alejandro Moreo, and Juan Luis Castro. Collaborative system for learning based on questionnaires and tasks. International Joint Conference SOCO’13-CISIS’13- ICEUTE’13. Springer, 2013, pages 631-640.
Alejandro Moreo, Juan Luis Castro, and Jose Manuel Zurita. Handling context in lexicon- based sentiment analysis. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. Springer, 2012, pages 245-254.
National conferences and Workshops
Alejandro Moreo, Andrea Pedrotti, Fabrizio Sebastiani, Generalized funnelling: Ensemble learning and heterogeneous document embeddings for cross-lingual text classification (Extended Abstract), IIR 2021, Italian Information Retrieval Workshop, Bari, IT , 2021
Gianluca Sperduti, Alejandro Moreo, Fabrizio Sebastiani, Garbled-Word Embeddings for Jumbled Text, IIR 2021, Italian Information Retrieval Workshop, Bari, IT, 2021
Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani Transductive Distributional Correspondence Indexing for Cross-Domain Topic Classification. IIR 2016, 7th Italian Information Retrieval Workshop, 2016, Venice, Italy.