Fabrizio Sebastiani: Publications

(See also my profile on Google Scholar)

Forthcoming

Washington Cunha, Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani, Leonardo Rocha, and Marcos A. Gonçalves. A noise-oriented and redundancy-aware instance selection framework. ACM Transactions on Information Systems), 2025. Forthcoming. [PDF] [DOI]
Lorenzo Volpi, Alejandro Moreo, and Fabrizio Sebastiani. A simple method for classifier accuracy prediction under prior probability shift. Proceedings of the 27th International Conference on Discovery Science (DS 2024), Pisa, IT, 2024. Forthcoming. [PDF] [DOI]
Andrea Pedrotti, Alejandro Moreo, and Fabrizio Sebastiani. Multimodal heterogeneous transfer learning for multilingual image-text classification (Extended Abstract). Poster Proceedings of the 27th International Conference on Discovery Science (DS 2024), Pisa, IT, 2024. Forthcoming. [PDF] [DOI]

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2024

Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, and Martin Senz. Regularization-based methods for ordinal quantification. Data Mining and Knowledge Discovery 38(6), 4076-4121. [PDF] [DOI]
Pablo Gonzá́lez, Alejandro Moreo, and Fabrizio Sebastiani. Binary Quantification and Dataset Shift: An Experimental Investigation. Data Mining and Knowledge Discovery 38(4), 1670-1712. [PDF] [DOI]
Mattia Setzu, Silvia Corbara, Anna Monreale, Alejandro Moreo, and Fabrizio Sebastiani. Explainable Authorship Identification in Cultural Heritage Applications: Analysis of a New Perspective. ACM Journal on Computing and Cultural Heritage 17(3): Article 44, 23 pages. [PDF] [DOI]

2023

Silvia Corbara, Alejandro Moreo, and Fabrizio Sebastiani. Same or different? Diff-Vectors for authorship analysis. ACM Transactions on Knowledge Discovery from Data 18(1): Article 12, 2023. [PDF] [DOI]
Alejandro Moreo, Manuel Francisco, and Fabrizio Sebastiani. Multi-Label Quantification. ACM Transactions on Knowledge Discovery from Data 18(1): Article 4, 2023. [PDF] [DOI]
Barbara Berti, Andrea Esuli, and Fabrizio Sebastiani. Unravelling interlanguage facts via explainable machine learning. Digital Scholarship in the Humanities 38(3):953-977, 2023. [PDF] [DOI]
Andrea Esuli, Alessandro Fabris, Alejandro Moreo, and Fabrizio Sebastiani. Learning to quantify. Springer, Cham, CH. ISBN: 978-3-031-20466-1 (OPEN ACCESS) [PDF] [DOI]
Alessandro Fabris, Andrea Esuli, Alejandro Moreo, and Fabrizio Sebastiani. Measuring Fairness under Unawareness of Sensitive Attributes: A Quantification-Based Approach. Journal of Artificial Intelligence Research 76:1117-1180, 2023. (OPEN ACCESS) [PDF] [DOI]
Alessio Molinari, Andrea Esuli, and Fabrizio Sebastiani. Improved risk minimization algorithms for technology-assisted review. Intelligent Systems with Applications 18:(200229), 1-17, 2023. (OPEN ACCESS) [PDF] [DOI]
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. (OPEN ACCESS) [PDF] [DOI]
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): Article 36, 1-37, 2023. [PDF] [DOI]
Mirko Bunse, Pablo González, Alejandro Moreo, and Fabrizio Sebastiani. Report on the 3rd International Workshop on Learning to Quantify (LQ 2023). SIGKDD Explorations 25(1):25-28, 2023 [PDF]

2022

Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, and Martin Senz. Ordinal quantification through regularization. Proceedings of the 33rd European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2022), Grenoble, FR, pp. 36-52. [PDF] [DOI]
Juan José del Coz, Pablo Gonzá́lez, Alejandro Moreo, and Fabrizio Sebastiani (eds.). Proceedings of the 2nd International Workshop on Learning to Quantify (LQ 2022), Grenoble, FR, 2022. [PDF] [DOI]
Alejandro Moreo and Fabrizio Sebastiani. Tweet Sentiment Quantification: An Experimental Re-Evaluation. PLOS ONE, September 16, 2022. (OPEN ACCESS) [PDF] [DOI]
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 on Computing and Cultural Heritage 15(3):57:1--57:15, 2022. [PDF] [DOI]
Alberto Barrón-Cedeño, Giovanni Da San Martino, Mirko Degli Esposti, Fabrizio Sebastiani, Craig Macdonald, Gabriella Pasi, Allan Hanbury, Martin Potthast, Guglielmo Faggioli, Nicola Ferro (eds.). Proceedings of the 13th International Conference of the CLEF Association (CLEF 2022), Bologna, IT, 2022. Lecture Notes in Computer Science, Volumes 13390. Springer Nature, Cham, CH.
Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani, and Gianluca Sperduti. A concise overview of LeQua 2022: Learning to quantify. Proceedings of the 13th Conference and Labs of the Evaluation Forum (CLEF 2022), Bologna, IT, pp. 362–381. [PDF] [DOI]
Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani, and Gianluca Sperduti. A detailed overview of LeQua 2022: Learning to quantify. Working Notes of the 13th Conference and Labs of the Evaluation Forum (CLEF 2022), Bologna, IT. [PDF]
Alessio Molinari, Andrea Esuli, and Fabrizio Sebastiani. Active learning and the Saerens-Latinne-Decaestecker algorithm: An evaluation. Proceedings of the 2nd Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2022), Samatan, FR, 2022. [PDF]
Juan José del Coz, Pablo González, Alejandro Moreo, and Fabrizio Sebastiani. Report on the 1st International Workshop on Learning to Quantify (LQ 2021). SIGKDD Explorations 24(1):49-51, 2022 [PDF]
Andrea Esuli, Alejandro Moreo, and Fabrizio Sebastiani. LeQua@CLEF2022: Learning to Quantify. Proceedings of the 44th European Conference on Information Retrieval (ECIR 2022), Stavanger, NO, pp. 374-381. [PDF] [DOI]
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): Article 13, 2022. [PDF] [DOI]

2021

Alejandro Moreo, Andrea Esuli, and Fabrizio Sebastiani. Word-Class Embeddings for Multiclass Text Classification. Data Mining and Knowledge Discovery 35(3), 911-963. [PDF] [DOI]
Andrea Esuli, Alessio Molinari, and Fabrizio Sebastiani. A Critical Reassessment of the Saerens-Latinne-Decaestecker Algorithm for Posterior Probability Adjustment. ACM Transactions on Information Systems 39(2), Article 19, 34 pages. [PDF] [DOI]
Alejandro Moreo, Andrea Esuli, and Fabrizio Sebastiani. QuaPy: A Python-Based Framework for Quantification. Proceedings of the 30th ACM International Conference on Knowledge Management (CIKM 2021)}, Gold Coast, AU, 2021, pp. 4534-4543. [PDF] [DOI]
Juan José Del Coz, Pablo González, Alejandro Moreo, and Fabrizio Sebastiani. Learning to Quantify: Methods and Applications (LQ 2021). Proceedings of the 30th ACM International Conference on Knowledge Management (CIKM 2021)}, Gold Coast, AU, 2021, pp. 4874-4875. [PDF] [DOI]
Alejandro Moreo and Fabrizio Sebastiani. Re-Assessing the “Classify and Count” Quantification Method. Proceedings of the 43rd European Conference on Information Retrieval (ECIR 2021), Lucca, IT, 2021, pp. 75-91. [PDF] [DOI]
Alejandro Moreo, Andrea Pedrotti, and Fabrizio Sebastiani. Heterogeneous Document Embeddings for Cross-Lingual Text Classification. Proceedings of the 36th ACM/SIGAPP Symposium On Applied Computing (SAC 2021), Gwangju, KR, 2021, pp. 685-688. Best Short Paper award. [PDF] [DOI]
Gianluca Sperduti, Alejandro Moreo, and Fabrizio Sebastiani. Garbled-Word Embeddings for Jumbled Text. Proceedings of the 12th Italian Information Retrieval Workshop (IIR 2021), Bari, IT. Best Short Paper award. [PDF]
Djoerd Hiemstra, Marie-Francine Moens, Josiane Mothe, Raffaele Perego, Martin Potthast, Fabrizio Sebastiani (eds.), Proceedings of the 43rd European Conference on Information Retrieval (ECIR 2021), Lucca, IT, 2021.
Raffaele Perego and Fabrizio Sebastiani. Report on the 43rd European Conference on Information Retrieval (ECIR 2021). ACM SIGIR Forum, 55(1), pp. 1-5. [DOI]

2020

Andrea Esuli, Alejandro Moreo, and Fabrizio Sebastiani. Cross-Lingual Sentiment Quantification. IEEE Intelligent Systems 35(3):106-114, 2020. [PDF] [DOI]
Fabrizio Sebastiani. Evaluation Measures for Quantification: An Axiomatic Approach. Information Retrieval Journal 23(3):255-288, 2020. [PDF] [DOI]
Alejandro Moreo, Andrea Esuli, and Fabrizio Sebastiani. Learning to Weight for Text Classification. IEEE Transactions on Data and Knowledge Engineering, 32(2):302-316, 2020. [PDF] [DOI]
Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani, and Mirko Tavoni. L'Epistola a Cangrande al vaglio della Computational Authorship Verification: Risultati preliminari (con una postilla sulla cosiddetta "XIV Epistola di Dante Alighieri"). In Alberto Casadei (ed.), Atti del Seminario "Nuove Inchieste sull'Epistola a Cangrande", Pisa University Press, Pisa, IT, 153-192, 2020. [PDF]
Tanya Berger-Wolf, Ben Carterette, Tamer Elsayed, C. Maria Keet, Fabrizio Sebastiani, and Hussein Suleman. Report on the 2nd ACM SIGIR/SIGKDD Africa Summer School on Machine Learning for Data Mining and Search. ACM SIGIR Forum 54(1), 2020. [PDF]
Djoerd Hiemstra, Marie-Francine Moens, Raffaele Perego, Fabrizio Sebastiani. Transitioning the Information Retrieval Literature to a Fully Open Access Model. ACM SIGIR Forum 54(1), 2020. [PDF]

2019

Andrea Esuli, Alejandro Moreo, and Fabrizio Sebastiani. Building Automated Survey Coders via Interactive Machine Learning. International Journal of Market Research, 61(4):408-429, 2019. [PDF] [DOI]
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 37(3), 37:1-37:30, 2019. [PDF] [DOI]
Pepa Atanasova, Georgi Karadzhov, Yasen Kiprov, Preslav Nakov, and Fabrizio Sebastiani. Evaluating Variable-Length Multiple-Option Lists in Chatbots and Mobile Search. Proceedings of the 42nd ACM Conference on Research and Development in Information Retrieval (SIGIR 2016), Paris, FR, 2019, pp. 997-1000. [PDF] [DOI]
Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani, and Mirko Tavoni. The Epistle to Cangrande Through the Lens of Computational Authorship Verification. Proceedings of the 1st International Workshop on Pattern Recognition for Cultural Heritage (PatReCH 2019), Trento, IT, 2019, pp. 148-158. Lecture Notes in Computer Science, Springer. [PDF] [DOI]

2018

Douglas W. Oard, Fabrizio Sebastiani, and Jyothi Vinjumur. Jointly Minimizing the Expected Costs of Review for Responsiveness and Privilege in E-Discovery. ACM Transactions on Information Systems 37(1):11:1-11:35, 2018. [PDF] [DOI]
Amartya Sanya, Pawan Kumar, Purushottam Kar, Sanjay Chawla, and Fabrizio Sebastiani. Optimizing non-decomposable measures with deep networks. Machine Learning, 107(8-10):1597-1620. [PDF] [DOI]
Andrea Esuli, Alejandro Moreo, and Fabrizio Sebastiani. A Recurrent Neural Network for Sentiment Quantification. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), Torino, IT, 2018. [PDF] [DOI]
Fabrizio Sebastiani. Sentiment Quantification of User-Generated Content. In Reda Alhajj and Jon Rokne (eds.), Encyclopedia of Social Network Analysis and Mining, Springer Verlag, 2018, pp. 2454-2465. [PDF] [DOI]

2017

Diego Marcheggiani and Fabrizio Sebastiani. On the Effects of Low-Quality Training Data on Information Extraction from Clinical Reports. ACM Journal of Data and Information Quality, 9(1), Article 1, 2017. [PDF] [DOI]
Noora Al Emadi, Sofiane Abbar, Jorge Borge-Holthoefer, Francisco Guzman, and Fabrizio Sebastiani. QT2S: A System for Monitoring Road Traffic via Fine Grounding of Tweets. Proceedings of the 11th AAAI International Conference on Web and Social Media (ICWSM 2017), Montreal, CA, 2017, pp. 456--459. [PDF] [DOI]

2016

Alejandro Moreo, Andrea Esuli and Fabrizio Sebastiani. Lightweight Random Indexing for Polylingual Text Classification. Journal of Artificial Intelligence Research 57:151--185, 2016. [PDF] [DOI]
Purushottam Kar, Shuai Li, Harikrishna Narasimhan, Sanjay Chawla, and Fabrizio Sebastiani. Online Optimization Methods for the Quantification Problem. Proceedings of the 22nd ACM Conference on Knowledge Discovery and Data Mining (KDD 2016), San Francisco, US, 2016, pp. 1625-1634. [PDF] [DOI]
Giovanni Da San Martino, Wei Gao, and Fabrizio Sebastiani. Ordinal Text Quantification. Proceedings of the 39th ACM Conference on Research and Development in Information Retrieval (SIGIR 2016), Pisa, IT, 2016, pp. 937-940. [PDF] [DOI]
Alejandro Moreo, Andrea Esuli, and Fabrizio Sebastiani. Distributional Random Oversampling for Imbalanced Text Classification. Proceedings of the 39th ACM Conference on Research and Development in Information Retrieval (SIGIR 2016), Pisa, IT, 2016, pp. 805-808. [PDF] [DOI]
Raffaele Perego, Fabrizio Sebastiani, Javed Aslam, Ian Ruthven, Justin Zobel (eds.), Proceedings of the 39th ACM Conference on Research and Development in Information Retrieval (SIGIR 2016), Pisa, IT, 2016. ACM Press. [PDF] [DOI]
Wei Gao and Fabrizio Sebastiani. From Classification to Quantification in Tweet Sentiment Analysis. Social Network Analysis and Mining, 6(19):1--22, 2016. [PDF] [DOI]
Alejandro Moreo, Andrea Esuli and Fabrizio Sebastiani. Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification. Journal of Artificial Intelligence Research 55:131-163, 2016. [PDF] [DOI]
Preslav Nakov, Alan Ritter, Sara Rosenthal, Fabrizio Sebastiani, Veselin Stoyanov. SemEval-2016 Task 4: Sentiment Analysis in Twitter. Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval 2016), San Diego, US, 2016, pp. 1-18. [PDF] [DOI]
Giovanni Da San Martino, Wei Gao, and Fabrizio Sebastiani. QCRI at SemEval-2016 Task 4: Probabilistic Methods for Binary and Ordinal Quantification. Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval 2016), San Diego, US, 2016, pp. 58-63. [PDF] [DOI]
Alejandro Moreo, Andrea Esuli and Fabrizio Sebastiani. Transductive Distributional Correspondence Indexing for Cross-Domain Topic Classification. Proceedings of the 7th Italian Information Retrieval Workshop (IIR 2016), Venezia, IT, 2016. [PDF]
Fabrizio Sebastiani. The Challenge of Sentiment Quantification. Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA 2016), San Diego, US, 2016, p. 173. [PDF] [DOI]

2015

Letizia Milli, Anna Monreale, Giulio Rossetti, Dino Pedreschi, Fosca Giannotti, and Fabrizio Sebastiani. Quantification in Social Networks. Proceedings of the 2nd IEEE International Conference on Data Science and Advanced Analytics (DSAA 2015), Paris, FR, 2015. [PDF] [DOI]
Giacomo Berardi, Andrea Esuli, Craig Macdonald, Iadh Ounis, and Fabrizio Sebastiani. Semi-Automated Text Classification for Sensitivity Identification. Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), Melbourne, AU, 2015, pp. 1711-1714. [PDF] [DOI]
Giacomo Berardi, Andrea Esuli and Fabrizio Sebastiani. Utility-Theoretic Ranking for Semiautomated Text Classification. ACM Transactions on Knowledge Discovery from Data, 10(1):Article 6, 2015. [PDF] [DOI]
Andrea Esuli and Fabrizio Sebastiani. Optimizing Text Quantifiers for Multivariate Loss Functions. ACM Transactions on Knowledge Discovery from Data, 9(4):Article 27, 2015. [PDF] [DOI]
Walid Magdy, Hassan Sajjad, Tarek ElGanainy, and Fabrizio Sebastiani. Bridging Social Media via Distant Supervision. Social Network Analysis and Mining, 5(1): Article 35, 2015. [PDF] [DOI]
Wei Gao and Fabrizio Sebastiani. Tweet Sentiment: From Classification to Quantification. Proceedings of the 6th ACM/IEEE International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2015), Paris, FR, 2015, pp. 97-104. [PDF] [DOI]
Fabrizio Sebastiani. An Axiomatically Derived Measure for the Evaluation of Classification Algorithms. Proceedings of the 5th ACM International Conference on the Theory of Information Retrieval (ICTIR 2015), Northampton, US, 2015, pp. 11-20. [PDF] [DOI]
Giacomo Berardi, Andrea Esuli, Tiziano Fagni and Fabrizio Sebastiani. Multi-Store Metadata-Based Supervised Mobile App Classification. Proceedings of the 30th ACM Symposium on Applied Computing (SAC 2015), Salamanca, ES, pp. 585-588, 2015. [PDF] [DOI]
Giacomo Berardi, Andrea Esuli, Tiziano Fagni and Fabrizio Sebastiani. Classifying Websites by Industry Sector: A Study in Feature Design. Proceedings of the 30th ACM Symposium on Applied Computing (SAC 2015), Salamanca, ES, pp. 1053-1059, 2015. [PDF] [DOI]
Walid Magdy, Hassan Sajjad, Tarek ElGanainy, and Fabrizio Sebastiani. Distant Supervision for Tweet Classification using YouTube Labels. Proceedings of the 9th AAAI International Conference on Web and Social Media (ICWSM 2015), Oxford, UK, pp. 638-641, 2015. [PDF]
Paolo Boldi, Raffaele Perego, and Fabrizio Sebastiani (eds.). Proceedings of the 6th Italian Information Retrieval Workshop (IIR 2015), Cagliari, IT, 2015. Vol. 1404, CEUR-WS Proceedings Series. [PDF]

2014

Stefano Baccianella, Andrea Esuli and Fabrizio Sebastiani. Feature Selection for Ordinal Text Classification. Neural Computation, 26(3):557-591, 2014. The MIT Press. [PDF] [DOI]
Giacomo Berardi, Andrea Esuli and Fabrizio Sebastiani. Optimising Human Inspection Work in Automated Verbatim Coding. International Journal of Market Research, 56(4):489-512, 2014. [PDF] [DOI]
Diego Marcheggiani, Oscar Tackstrom, Andrea Esuli, and Fabrizio Sebastiani. Hierarchical Multi-label Conditional Random Fields for Aspect-Oriented Opinion Mining. Proceedings of the 36th European Conference on Information Retrieval (ECIR 2014), Amsterdam, NL, pp. 273-285, 2014. [PDF] [DOI]

2013

Letizia Milli, Anna Monreale, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi, Fabrizio Sebastiani. Quantification Trees. Proceedings of the 13th IEEE International Conference on Data Mining (ICDM 2013), Dallas, US, 2013, pp. 528-536. [PDF] [DOI]
Andrea Esuli and Fabrizio Sebastiani. Improving Text Classification Accuracy by Training Label Cleaning. ACM Transactions on Information Systems, 31(4):Article 19, 2013. ACM Press. [PDF] [DOI]
Giacomo Berardi, Andrea Esuli, Fabrizio Sebastiani and Fabrizio Silvestri. Endorsements and Rebuttals in Blog Distillation. Information Sciences, 249:38-47, 2013. Elsevier Science Publishers. [PDF] [DOI]
Andrea Esuli, Diego Marcheggiani, and Fabrizio Sebastiani. An Enhanced CRFs-based System for Information Extraction from Radiology Reports. Journal of Biomedical Informatics, 46(3):425-435, 2013. Elsevier Science Publishers. [PDF] [DOI]
Stefano Baccianella, Andrea Esuli and Fabrizio Sebastiani. Using Micro-Documents for Feature Selection: The Case of Ordinal Text Classification. Expert Systems and Applications, 40(11):4687-4696, 2013. Elsevier Science Publishers. [PDF] [DOI]
Roberto Basili, Fabrizio Sebastiani and Giovanni Semeraro (eds.), Proceedings of the 4th Italian Information Retrieval Workshop (IIR 2013), Pisa, IT, 2013. Vol. 964, CEUR-WS Proceedings. [PDF]
Stefano Baccianella, Andrea Esuli and Fabrizio Sebastiani. StarTrack: The Next Generation (of Product Review Management Tools). New Generation Computing, 31(1):47-70, 2013. [PDF] [DOI]
Roberto Grossi, Fabrizio Sebastiani and Fabrizio Silvestri. Guest Editors' Introduction to the Special Issue on the 18th International Symposium on String Processing and Information Retrieval. Journal of Discrete Algorithms, 13(1):1-2, 2013. Elsevier Science Publishers. [PDF] [DOI]
Stefano Baccianella, Andrea Esuli and Fabrizio Sebastiani. Variable-Constraint Classification and Quantification of Radiology Reports under the ACR Index. Expert Systems and Applications, 40(9):3441-3449, 2013. Elsevier Science Publishers. [PDF] [DOI]

2012

Giacomo Berardi, Andrea Esuli, Sergiu Gordea, Diego Marcheggiani, and Fabrizio Sebastiani. Metadata Enrichment Services for the Europeana Digital Library. Proceedings of the 15th International Conference on the Theory and Practice of Digital Libraries (TPDL 2012), Paphos, CY, 2012, pp. 508-511. [PDF] [DOI]
Giacomo Berardi, Andrea Esuli, and Fabrizio Sebastiani. A Utility-Theoretic Ranking Method for Semi-Automated Text Classification. Proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2012), Portland, US, 2012, pp. 961-970. [PDF] [DOI]
Giacomo Berardi, Andrea Esuli, Fabrizio Sebastiani and Fabrizio Silvestri. Blog Distillation via Sentiment-Sensitive Link Analysis. Proceedings of the 17th International Conference on Applications of Natural Language Processing to Information Systems (NLDB 2012), Groningen, NL, pp. 228-233. Lecture Notes in Computer Science 7337, Springer Verlag, Heidelberg, DE. [PDF] [DOI]

2011

Giacomo Berardi, Andrea Esuli, Diego Marcheggiani, and Fabrizio Sebastiani. ISTI @ TREC Microblog Track 2011: Exploring the Use of Hashtag Segmentation and Text Quality Ranking. Proceedings of the 20th Text Retrieval Conference (TREC 2011), Gaithersburg, US, 2011. [PDF]
Roberto Grossi, Fabrizio Sebastiani and Fabrizio Silvestri (eds.), Proceedings of the 18th International Symposium on String Processing and Information Retrieval (SPIRE 2011), Pisa, IT, 2011. Lecture Notes in Computer Science 7024, Springer Verlag, Heidelberg, DE. [PDF]
Douglas W. Oard, Fabrizio Sebastiani, Jonathan Furner and Gary Marchionini. Publishing Survey Articles on Information Retrieval Topics. ACM SIGIR Forum 45(1):70-72, 2011. [PDF] [DOI]
Andrea Esuli and Fabrizio Sebastiani. Enhancing Opinion Extraction by Automatically Annotated Lexical Resources (Extended Version) In Zygmunt Vetulani (ed.), Human Language Technology. Challenges for Computer Science and Linguistics, Revised selected papers from the 4th Language Technology Conference. Lecture Notes in Computer Science 6562, Springer Verlag, Heidelberg, DE, 2011, pp. 500-511. [PDF] [DOI]
Giacomo Berardi, Andrea Esuli, Fabrizio Sebastiani and Fabrizio Silvestri. Blog Distillation via Sentiment-Sensitive Link Analysis. Proceedings of the 2nd Italian Information Retrieval Workshop (IIR 2011), Milano, IT, 2011. [PDF]
Stefano Baccianella, Andrea Esuli and Fabrizio Sebastiani. Using Micro-Documents for Feature Selection: The Case of Ordinal Text Classification. Proceedings of the 2nd Italian Information Retrieval Workshop (IIR 2011), Milano, IT, 2011. [PDF]

2010

Ingo Frommholz, Andreas Rauber, and Fabrizio Sebastiani. Guest Editors' introduction to the Special Issue on the 14th European Conference on Digital Libraries (ECDL 2010). International Journal of Digital Libraries, 11(2):57-58, 2010. [PDF] [DOI]
Andrea Esuli and Fabrizio Sebastiani. Machines that Learn how to Code Open-Ended Survey Data. International Journal of Market Research, 52(6):775-800, 2010. [Shortlisted for Best 2010 IJMR paper] [PDF] [DOI]
Tiziano Fagni and Fabrizio Sebastiani. Selecting Negative Examples for Hierarchical Text Classification: An Experimental Comparison. Journal of the American Society for Information Science and Technologies, 61(11):2256-2265, 2010. [PDF] [DOI]
Andrea Esuli and Fabrizio Sebastiani. Evaluating information extraction. Proceedings of the Conference on Multilingual and Multimodal Information Access Evaluation (CLEF 2010), Padova, IT, 2010, pp. 100-111. Lecture Notes in Computer Science 6360, Springer Verlag, Heidelberg, DE. [PDF] [DOI]
Mounia Lalmas, Joemon Jose, Andreas Rauber, Fabrizio Sebastiani and Ingo Frommholz (eds.), Proceedings of the 14th European Conference on Research and Advanced Technologies for Digital Libraries (ECDL 2010), Glasgow, UK, 2010. Lecture Notes in Computer Science 6273, Springer Verlag, Heidelberg, DE. [PDF]
Andrea Esuli and Fabrizio Sebastiani. Sentiment Quantification. IEEE Intelligent Systems, 25(4):72-75, 2010. [PDF] [DOI]
Andrea Esuli, Diego Marcheggiani and Fabrizio Sebastiani. ISTI@SemEval-2 Task #8: Boosting-Based Multiway Relation Classification. Proceedings of the 5th International Workshop on Semantic Evaluation (SEMEVAL 2010), Uppsala, SE, 2010, pp. 218-221. [PDF]
Stefano Baccianella, Andrea Esuli and Fabrizio Sebastiani. SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining. Proceedings of the 7th Conference on Language Resources and Evaluation (LREC 2010), Valletta, MT, 2010, pp. 2200-2204. [PDF]
Tiziano Fagni, Fabrizio Falchi and Fabrizio Sebastiani. Image Classification via Adaptive Ensembles of Descriptor-Specific Classifiers. Pattern Recognition and Image Analysis, 20(1):21-28, 2010. [PDF] [DOI]
Stefano Baccianella, Andrea Esuli and Fabrizio Sebastiani. Feature Selection for Ordinal Regression. Proceedings of the 25th ACM Symposium on Applied Computing (SAC 2010), Sierre, CH, 2010, pp. 1748-1754. [PDF] [DOI]
Andrea Esuli, Diego Marcheggiani and Fabrizio Sebastiani. Sentence-Based Active Learning Strategies for Information Extraction. Proceedings of the 1st Italian Information Retrieval Workshop (IIR 2010), Padova, IT, 2010, pp. 41-45. [PDF]
Stefano Baccianella, Andrea Esuli and Fabrizio Sebastiani. Selecting Features for Ordinal Text Classification. Proceedings of the 1st Italian Information Retrieval Workshop (IIR 2010), Padova, IT, 2010, pp. 13-14. [PDF]

2009

Stefano Baccianella, Andrea Esuli and Fabrizio Sebastiani. Evaluation Measures for Ordinal Regression. Proceedings of the 9th IEEE International Conference on Intelligent Systems Design and Applications (ISDA 2009), Pisa, IT, 2009, pp. 283-287. [PDF] [DOI]
Andrea Esuli and Fabrizio Sebastiani. Enhancing Opinion Extraction by Automatically Annotated Lexical Resources. Proceedings of the 4th Language Technology Conference (LTC 2009), Poznan, PL, 2009, pp. 224-228. [PDF]
Carlo Meghini, Fabrizio Sebastiani, and Umberto Straccia. Multimedia Information Retrieval Model. In Ling Liu and M. Tamer Ozsu (eds.) Encyclopedia of Database Systems, Springer Verlag, Heidelberg, DE, 2009, pp. 1820-1824. [PDF]
Andrea Esuli and Fabrizio Sebastiani. Training Data Cleaning for Text Classification. Proceedings of the 2nd International Conference on the Theory of Information Retrieval (ICTIR 2009), Cambridge, UK, 2009, pp. 29-41. Lecture Notes in Computer Science 5766, Springer Verlag, Heidelberg, DE. [PDF] [DOI]
Shlomo Argamon, Kenneth Bloom, Andrea Esuli and Fabrizio Sebastiani. Automatically Determining Attitude Type and Force for Sentiment Analysis. In Hans Uszkoreit and Zygmunt Vetulani (eds.), Human Language Technology. Challenges of the Information Society, Revised selected papers from the 3rd Language Technology Conference. Lecture Notes in Computer Science 5603, Springer Verlag, Heidelberg, DE, 2009, pp. 218-231. [PDF] [DOI]
Fabio Aiolli, Riccardo Cardin, Fabrizio Sebastiani, and Alessandro Sperduti. Preferential Text Classification: Learning Algorithms and Evaluation Measures. Information Retrieval 12(5):559-580, 2009. [PDF] [DOI]
Stefano Baccianella, Andrea Esuli and Fabrizio Sebastiani. Multi-Facet Rating of Product Reviews. Proceedings of the 31st European Conference on Information Retrieval (ECIR 2009), Toulouse, FR, 2009, pp. 461-472. Lecture Notes in Computer Science 5478, Springer Verlag, Heidelberg, DE. [PDF] [DOI]
Andrea Esuli and Fabrizio Sebastiani. Active Learning Strategies for Multi-Label Text Classification. Proceedings of the 31st European Conference on Information Retrieval (ECIR 2009), Toulouse, FR, 2009, pp. 102-113. Lecture Notes in Computer Science 5478, Springer Verlag, Heidelberg, DE. [PDF] [DOI]
Andrea Esuli and Fabrizio Sebastiani. Encoding Ordinal Features into Binary Features for Text Classification. Proceedings of the 31st European Conference on Information Retrieval (ECIR 2009), Toulouse, FR, 2009, pp. 771-775. Lecture Notes in Computer Science 5478, Springer Verlag, Heidelberg, DE. [PDF] [DOI]
Tiziano Fagni, Fabrizio Falchi and Fabrizio Sebastiani. Adaptive Committees of Feature-Specific Classifiers for Image Classification. Proceedings of the 2nd International Workshop on Image Mining Theory and Applications (IMTA 2009), Lisboa, PT, 2009, pp. 113-122. [PDF]

2008

Tat-Seng Chua, Mun-Kew Leong, Syung Hyon Myaeng, Douglas W. Oard, and Fabrizio Sebastiani (eds.), Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2008), Singapore, SN, 2008. ACM Press, New York, US. [PDF]
Andrea Esuli, Fabrizio Sebastiani, and Ilaria C. Urciuoli. Annotating Expressions of Opinion and Emotion in the Italian Content Annotation Bank. In Proceedings of the 6th Conference on Language Resources and Evaluation (LREC 2008), Marrakech, MA, 2008. [PDF]
Filippo Geraci, Marco Maggini, Marco Pellegrini and Fabrizio Sebastiani. Cluster Generation and Labeling for Web Snippets: A Fast, Accurate Hierarchical Solution. Internet Mathematics, 3(4):413-444, 2008. [PDF]
Andrea Esuli, Tiziano Fagni, and Fabrizio Sebastiani. Boosting Multi-label Hierarchical Text Categorization. Information Retrieval, 11(4):287-313, 2008. [PDF] [DOI]

2007

Fabio Aiolli, Alessandro Sperduti and Fabrizio Sebastiani. Preference Learning for Category-Ranking Based Interactive Text Categorization. Proceedings of the 20th International Joint Conference on Neural Networks (IJCNN 2007), Orlando, US, pp. 2034-2039. [PDF] [DOI]
Tim Macer, Mark Pearson, Fabrizio Sebastiani. Cracking the Code: What Customers Say, in Their Own Words. In Proceedings of the 50th Annual Conference of the Market Research Society (MRS 2007), Brighton, UK, 2007. [Shortlisted for Best MRS 2007 paper] [PDF]
Andrea Esuli and Fabrizio Sebastiani. Random-Walk Models of Term Semantics: An Application to Opinion-Related Properties. Proceedings of the 3rd Language Technology Conference (LTC 2007), Poznan, PL, pp. 221-225. [PDF]
Tiziano Fagni and Fabrizio Sebastiani. On the Selection of Negative Examples for Hierarchical Text Categorization. Proceedings of the 3rd Language Technology Conference (LTC 2007), Poznan, PL, pp. 24-28. [PDF]
Shlomo Argamon, Kenneth Bloom, Andrea Esuli and Fabrizio Sebastiani. Automatically Determining Attitude Type and Force for Sentiment Analysis. Proceedings of the 3rd Language Technology Conference (LTC 2007), Poznan, PL, pp. 369-373. [PDF]
Andrea Esuli and Fabrizio Sebastiani. PageRanking WordNet Synsets: An Application to Opinion Mining. Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL 2007), Prague, CZ, pp. 424-431. [PDF]

2006

Andrea Esuli, Tiziano Fagni, and Fabrizio Sebastiani. MP-Boost: A Multiple-Pivot Boosting Algorithm and its Application to Text Categorization. In Proceedings of the 13th International Symposium on String Processing and Information Retrieval (SPIRE 2006), Glasgow, UK, 2006, pp. 1-12. Lecture Notes in Computer Science 4209, Springer Verlag, Heidelberg, DE. [PDF] [DOI]
Andrea Esuli, Tiziano Fagni, and Fabrizio Sebastiani. TreeBoost.MH: A Boosting Algorithm for Multi-label Hierarchical Text Categorization. In Proceedings of the 13th International Symposium on String Processing and Information Retrieval (SPIRE 2006), Glasgow, UK, 2006, pp. 13-24. Lecture Notes in Computer Science 4209, Springer Verlag, Heidelberg, DE. [PDF] [DOI]
Filippo Geraci, Marco Maggini, Marco Pellegrini, and Fabrizio Sebastiani. Cluster Generation and Cluster Labelling for Web Snippets. In Proceedings of the 13th International Symposium on String Processing and Information Retrieval (SPIRE 2006), Glasgow, UK, 2006, pp. 25-36. Lecture Notes in Computer Science 4209, Springer Verlag, Heidelberg, DE. [PDF] [DOI]
Henri Avancini, Alberto Lavelli, Fabrizio Sebastiani, and Roberto Zanoli. Automatic Expansion of Domain-Specific Lexicons by Term Categorization. ACM Transactions on Speech and Language Technology 3(1):1-30, 2006. [PDF] [DOI]
Andrea Esuli and Fabrizio Sebastiani. SentiWordNet: A Publicly Available Lexical Resource for Opinion Mining. In Proceedings of the 5th Conference on Language Resources and Evaluation (LREC 2006), Genova, IT, 2006, pp. 417-422. [PDF]
Filippo Geraci, Marco Pellegrini, Paolo Pisati, and Fabrizio Sebastiani. A Scalable Algorithm for High-Quality Clustering of Web Snippets. In Proceedings of the 21st ACM Symposium on Applied Computing (SAC 2006), Dijon, FR, 2006, pp. 1058-1062. [PDF]
Andrea Esuli and Fabrizio Sebastiani. Determining term subjectivity and term orientation for opinion mining. In Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2006), Trento, IT, 2006, pp. 193-200. [PDF]
Fabrizio Sebastiani. Classification of text, automatic. In Keith Brown (ed.), The Encyclopedia of Language and Linguistics, Volume 14, 2nd Edition, Elsevier Science Publishers, Amsterdam, NL, 2006, pp. 457-462. [PDF]

2005

Andrea Esuli and Fabrizio Sebastiani. Determining the semantic orientation of terms through gloss classification. In Proceedings of the 14th ACM International Conference on Information and Knowledge Management (CIKM 2005), Bremen, DE, pp. 617-624. [PDF] [PDF]
Franca Debole and Fabrizio Sebastiani. An analysis of the relative hardness of Reuters-21578 subsets. Journal of the American Society for Information Science and Technology, 56(6):584-596, 2005. [PDF] [DOI]
Fabrizio Sebastiani. Text categorization. In Alessandro Zanasi (ed.), Text Mining and its Applications, WIT Press, Southampton, UK, 2005, pp. 109-129. [PDF]
Fabrizio Sebastiani. Text categorization. In Laura C. Rivero, Jorge H. Doorn and Viviana E. Ferraggine (eds.), The Encyclopedia of Database Technologies and Applications, Idea Group Publishing, Hershey, US, 2005, pp. 683-687. [PDF]

2004

Alberto Lavelli, Fabrizio Sebastiani, and Roberto Zanoli. Distributional term representations: an experimental comparison. In David A. Evans, Luis Gravano, Otthein Herzog, ChengXiang Zhai, and Marc Ronthaler (eds.), Proceedings of the 13th ACM International Conference on Information and Knowledge Management (CIKM 2004), Washington, US, 2004, pp. 615-624. [PDF] [DOI]
Fabrizio Sebastiani. Guest editors' introduction to the special issue on the 25th European Conference on Information Retrieval Research. Information Retrieval, 7(3/4):235-237, 2004. [PDF] [DOI]
Franca Debole and Fabrizio Sebastiani. An analysis of the relative difficulty of Reuters-21578 subsets. In Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC 2004), Lisbon, PT, 2004, pp. 971-974. [PDF]
Franca Debole and Fabrizio Sebastiani. Supervised Term Weighting for Automated Text Categorization (extended version). In Spiros Sirmakessis (ed.), Text Mining and its Applications, Physica-Verlag, Heidelberg, DE, pp. 81-98, 2004. [PDF]

2003

Daniela Giorgetti and Fabrizio Sebastiani. Automating survey coding by multiclass text categorization techniques. Journal of the American Society for Information Science and Technology, 54(14):1269-1277, 2003. [PDF] [DOI]
Pio Nardiello, Fabrizio Sebastiani, and Alessandro Sperduti. Discretizing continuous attributes in AdaBoost for text categorization. Proceedings of the 25th European Conference on Information Retrieval (ECIR 2003), Pisa, IT, 2003, pp. 320-334. Lecture Notes in Computer Science 2633, Springer Verlag, Heidelberg, DE. [PDF] [DOI]
Fabrizio Sebastiani (ed.), Proceedings of the 25th European Conference on Information Retrieval (ECIR 2003), Pisa, IT, 2003. Lecture Notes in Computer Science 2633, Springer Verlag, Heidelberg, DE. [PDF]
Franca Debole and Fabrizio Sebastiani. Supervised term weighting for automated text categorization. Proceedings of the 18th ACM Symposium on Applied Computing (SAC 2003), Melbourne, US, 2003, pp. 784-788. [PDF]
Henri Avancini, Alberto Lavelli, Bernardo Magnini, Fabrizio Sebastiani, and Roberto Zanoli. Expanding domain-specific lexicons by term categorization. Proceedings of the 18th ACM Symposium on Applied Computing (SAC 2003), Melbourne, US, 2003, pp. 793-797. [PDF]
Daniela Giorgetti and Fabrizio Sebastiani. Multiclass text categorization for automated survey coding. Proceedings of the 18th ACM Symposium on Applied Computing (SAC 2003), Melbourne, US, 2003, pp. 798-802. [PDF]
Daniela Giorgetti, Irina Prodanof and Fabrizio Sebastiani. Automatic Coding of Open-ended Questions Using Text Categorization Techniques. Proceedings of the 4th International Conference of the Association for Survey Computing (ASCIC 2003), Warwick, UK, 2003, pp. 173--184. [PDF]

2002

Fabrizio Sebastiani. Machine learning in automated text categorization. ACM Computing Surveys, 34(1):1-47, 2002. [PDF] [DOI]
Thorsten Joachims and Fabrizio Sebastiani. Guest editors' introduction to the Special Issue on Automated Text Categorization. Journal of Intelligent Information Systems, 18(2):103-105, 2002. [PDF] [DOI]
Susan T. Dumais, David Lewis and Fabrizio Sebastiani. Report on the 2nd Workshop on Operational Text Classification Systems (OTC 2002). ACM SIGIR Forum, 36(2), 2002. [PDF]
Alberto Lavelli, Bernardo Magnini, and Fabrizio Sebastiani. Building thematic lexical resources by bootstrapping and machine learning. Proceedings of the LREC 2002 Workshop on Linguistic Knowledge Acquisition and Representation, Las Palmas, ES, 2002, pp. 53-62. [PDF]
Daniela Giorgetti, Irina Prodanof, and Fabrizio Sebastiani. Mapping an automated survey coding task into a probabilistic text categorization framework. In Elisabete Ranchod and Nuno J. Mamede (eds.), Advances in Natural Language Processing, Springer Verlag, Heidelberg, DE, 2002. Lecture Notes in Computer Science 2389, Springer Verlag, Heidelberg, DE. [PDF]

2001

Carlo Meghini, Fabrizio Sebastiani and Umberto Straccia. A model of multimedia information retrieval. Journal of the ACM, 48(5):909-970, 2001. [PDF] [DOI]
David Lewis and Fabrizio Sebastiani. Report on the Workshop on Operational Text Classification Systems (OTC 2001). ACM SIGIR Forum, 35(2), 2001. [PDF]
Fabrizio Sebastiani. Organizing and using digital libraries by automated text categorization. In Luciana Bordoni and Gianni Semeraro (eds.), Proceedings of the AI*IA Workshop on Artificial Intelligence for Cultural Heritage and Digital Libraries, Bari, IT, 2001, pp. 93-94. Invited talk. [PDF]
Fabrizio Sebastiani. Interactive query expansion with automatically generated category-specific thesauri. In Amita G. Chin (ed.), Text Databases and Document Management: Theory and Practice, Idea Group Publishing, Hershey, US, 2001, pp. 103-117. [PDF]
Maria Fernanda Caropreso, Stan Matwin, and Fabrizio Sebastiani. A learner-independent evaluation of the usefulness of statistical phrases for automated text categorization. In Amita G. Chin (ed.), Text Databases and Document Management: Theory and Practice, Idea Group Publishing, Hershey, US, 2001, pp. 78-102. [PDF]

2000

Luigi Galavotti, Fabrizio Sebastiani, and Maria Simi. Experiments on the use of feature selection and negative evidence in automated text categorization. In José Borbinha and Thomas Baker (eds.), Proceedings of the 4th European Conference on Research and Advanced Technology for Digital Libraries (ECDL 2000), Lisbon, PT, 2000, pp. 59-68. Lecture Notes in Computer Science 1923, Springer Verlag, Heidelberg, DE. [PDF] [DOI]
Fabrizio Sebastiani, Alessandro Sperduti and Nicola Valdambrini. An improved boosting algorithm and its application to automated text categorization. In Arvin Agah, Jamie Callan and Elke Rundensteiner (eds.), Proceedings of the 9th ACM International Conference on Information and Knowledge Management (CIKM 2000), McLean, US, 2000, pp. 78-85. [PDF] [DOI]
Luigi Galavotti, Fabrizio Sebastiani, and Maria Simi. Feature selection and negative evidence in automated text categorization. In Marko Grobelnik, Dunja Mladenic and Natasa Milic-Frayling (eds.), Proceedings of the ACM KDD 2000 Workshop on Text Mining, Boston, US, 2000. [PDF]

1999

Fabrizio Sebastiani. A tutorial on automated text categorisation. In Analia Amandi and Alejandro Zunino (eds.), Proceedings of the 1st Argentinian Symposium on Artificial Intelligence (ASAI 1999), Buenos Aires, AR, 1999, pp. 7-35. [PDF]
Fabrizio Sebastiani. Automated generation of category-specific thesauri for interactive query expansion. In Joseph Fong (ed.), Proceedings of the 9th International Database Conference on Heterogeneous and Internet Databases (IDC 1999), Hong Kong, CN, 1999, pp. 429-432. [PDF]
Fabrizio Sebastiani. Towards a logical reconstruction of information retrieval theory. Cybernetics and Systems, 30(5):411-428, 1999. [PDF] [DOI]
Giuseppe Attardi, Antonio Gullì and Fabrizio Sebastiani. Automatic Web page categorization by link and context analysis. In Chris Hutchison and Gaetano Lanzarone (eds.), Proceedings of the 1st European Symposium on Telematics, Hypermedia and Artificial Intelligence (THAI 1999), Varese, IT, pp. 105-119. [PDF]
Carlo Meghini, Fabrizio Sebastiani and Umberto Straccia. A system for the fast prototyping of multidimensional image retrieval. In Proceedings of the IEEE International Conference on Multimedia Computing and Systems (ICMCS 1999), Firenze, IT, 1999, Volume II, pp. 603-609. [PDF]
Fabrizio Sebastiani. Total knowledge and partial knowledge in logical models of information retrieval. In Andrzej Skowron and Zbigniew W. Ras (eds.), Proceedings of the 11th International Symposium on Methodologies for Intelligent Systems (ISMIS 1999), Warsaw, PL, 1999, pp. 133-143. Lecture Notes in Computer Science 1609, Springer Verlag, Heidelberg, DE. [PDF]
Carlo Meghini and Fabrizio Sebastiani. Conceptual modelling in multimedia information seeking. In Peter P. Chen, Jacky Akoka, Hannu Kangassalo and Bernhard Thalheim (eds.), Conceptual Modeling: Current Issues and Future Directions, pp. 281-286. Lecture Notes in Computer Science 1565, Springer Verlag, Heidelberg, DE. [PDF]
Giuseppe Attardi, Antonio Gullì and Fabrizio Sebastiani. THESEUS: categorization by context. In Poster Proceedings of the 8th International Conference on the World Wide Web (WWW 1999), Toronto, CA, pp. 136-137. [PDF]

1998

Carlo Meghini, Fabrizio Sebastiani and Umberto Straccia. MIRLOG: a logic for multimedia information retrieval. In Fabio Crestani, Mounia Lalmas and Cornelis J. van Rijsbergen (eds.), Information Retrieval: Uncertainty and Logics. Advanced models for the representation and retrieval of information, Kluwer Academic Publishing, Dordrecht, NL, pp. 151-185, 1998. [PDF]
Fabrizio Sebastiani. On the role of logic in information retrieval. Information Processing and Management, 34(1):1-18, 1998. [PDF] [DOI]
Fabrizio Sebastiani. Information retrieval, imaging and probabilistic logic. Computers and Artificial Intelligence, 17(1):35-50, 1998. [PDF]
Giuseppe Attardi, Sergio Di Marco, David F. Salvi and Fabrizio Sebastiani. Categorization by context. In David Schwartz, Monica Divitini and Terje Brasethvik (eds.), Proceedings of the 1st International Workshop on Innovative Internet Information Systems (IIIS 1998), Pisa, IT, 1998, pp. 1-13. [PDF]
Carlo Meghini, Fabrizio Sebastiani and Umberto Straccia. On the role of logic in image retrieval. In Alberto Del Bimbo and Raimondo Schettini (eds.), Proceedings of the 1st Workshop on Image and Video Content-Based Retrieval (IR 1998), Milano, IT, 1998, pp. 115-117. Italian Chapter of the International Association for Pattern Recognition. [PDF]
Fabrizio Sebastiani. Book review of "Intelligent multimedia information retrieval", edited by Mark T. Maybury. , The MIT Press, Cambridge, MA, 1997. ACM Computing Surveys, June 1998, pp. 296-297. [PDF]
Fabrizio Sebastiani. Book review of "Readings in information retrieval", edited by Karen Sparck Jones and Peter Willett. , Morgan Kaufmann Publishers, San Mateo, CA, 1997. The Computer Journal, 41(4):280-281, 1998. [PDF]

1997

Carlo Meghini, Fabrizio Sebastiani and Umberto Straccia. The terminological image model. In Alberto Del Bimbo (ed.), Proceedings of the 9th International Conference on Image Analysis and Processing (ICIAP 1997), Firenze, IT, 1997, pp. 156-163. Lecture Notes in Computer Science 1311, Springer Verlag, Heidelberg, DE. [PDF]
Fabrizio Sebastiani. Conditional probabilistic reasoning without conditional logic. In Ivan Plander (ed.), Proceedings of the 7th International Conference on Artificial Intelligence and Information-Control Systems of Robots (AIICSR 1997), Smolenice, SK, 1997, pp. 299-310. Published by World Scientific Publishers, SG. [PDF]
Carlo Meghini, Fabrizio Sebastiani and Umberto Straccia. Modelling the retrieval of structured documents containing texts and images. In Carol Peters and Costantino Thanos (eds.), Proceedings of the 1st European Conference on Research and Advanced Technology for Digital Libraries (ECDL 1997), Pisa, IT, 1997, pp. 325-344. Lecture Notes in Computer Science 1324, Springer Verlag, Heidelberg, DE. [PDF]
Carlo Meghini, Fabrizio Sebastiani and Umberto Straccia. Reasoning about form and content of multimedia objects (extended abstract). In Michael J. Witbrock and Alexander G. Hauptmann (eds.), Working Notes of AAAI Spring Symposium on the Intelligent Integration and Use of Text, Image, Video and Audio Corpora, Stanford, US, 1997, pp. 89-94. [PDF]
Fabrizio Sebastiani. Book review of "Exploring logical dynamics", by Johan F. van Benthem., Center for the Study of Language and Information, 1996. The Computer Journal, 40(5):298-299, 1997. [PDF]

1996

Carlo Meghini, Fabrizio Sebastiani and Umberto Straccia. Designing effective retrieval engines for multimedia document repositories. In Working Notes of the AI*IA Workshop on Access, Extraction and Integration of Knowledge, Napoli, IT, 1996, pp. 67-70. [PDF]
Fabio Crestani, Fabrizio Sebastiani and Cornelis J. van Rijsbergen. Imaging and information retrieval: variations on a theme. In Fabio Crestani and Mounia Lalmas (eds.), Proceedings of the 2nd International Workshop on Logic and Uncertainty in Information Retrieval, Glasgow, UK, 1996, pp. 48-49. [PDF]
Carlo Meghini, Fabrizio Sebastiani and Umberto Straccia. Reasoning about form, content and uncertainty for multimedia document retrieval. In Fabio Crestani and Mounia Lalmas (eds.), Proceedings of the 2nd International Workshop on Logic and Uncertainty in Information Retrieval, Glasgow, UK, 1996, pp. 57-58. [PDF]
Fabrizio Sebastiani. A note on logic and information retrieval. In Ian Ruthven (ed.), Proceedings of the 1st Workshop on Multimedia Information Retrieval (MIRO 1995), Glasgow, UK, 1995, pp. 1-15. Published in the "Workshops in Computing" series, Springer Verlag, Heidelberg, DE, 1996. [PDF]
Fabrizio Sebastiani. Book review of "Reasoning about knowledge", by Ronald Fagin, Joseph Y. Halpern, Yoram Moses and Moshe Y. Vardi. , The MIT Press, 1995. The Computer Journal, 39(8):728, 1996. [PDF]

1995

Fabrizio Sebastiani and Umberto Straccia. Default reasoning in a terminological logic. Computers and Artificial Intelligence, 14(3):225-251, 1995. [PDF]
Paolo Buongarzoni, Carlo Meghini, Rossella Salis, Fabrizio Sebastiani and Umberto Straccia. Logical and computational properties of the description logic MIRTL. In Alexander Borgida, Maurizio Lenzerini, Daniele Nardi and Bernhard Nebel (eds.), Proceedings of the 4th International Workshop on Description Logics (DL 1995), Roma, IT, 1995, pp. 80-84. [PDF]

1994

Fabrizio Sebastiani and Umberto Straccia. Incremental acquisition of knowledge for non-monotonic reasoning. Computers and Artificial Intelligence, 13(4):377-396, 1994. [PDF]
Fabrizio Sebastiani. A probabilistic terminological logic for modelling information retrieval. In W. Bruce Croft and Cornelis J. van Rijsbergen (eds.), Proceedings of the 17th ACM International Conference on Research and Development in Information Retrieval (SIGIR 1994) Dublin, IE, 1994, pp. 122-130. Published by Springer Verlag, Heidelberg, DE. [PDF]
Fabrizio Sebastiani and Umberto Straccia. Incremental knowledge acquisition for non monotonic reasoning. In Luc Steels, Guus Schreiber and Walter van de Velde (eds.), Proceedings of the 8th European Workshop in Knowledge Acquisition (EKAW 1994 - Position papers volume), Hoegaarden, BE, 1994. [PDF]

1993

Carlo Meghini, Fabrizio Sebastiani, Umberto Straccia and Costantino Thanos. A model of information retrieval based on a terminological logic. In Robert Korfhage, Edie Rasmussen and Peter Willett (eds.), Proceedings of the 16th ACM International Conference on Research and Development in Information Retrieval (SIGIR 1993), Pittsburgh, US, 1993, pp. 298-307. Published by ACM Press, Baltimore, US. [PDF]

1992

Carlo Meghini and Fabrizio Sebastiani (eds.). Proceedings of the ERCIM Workshop on Theoretical and Experimental Aspects of Knowledge Representation. Pisa, IT, 1992.
Fabrizio Sebastiani and Umberto Straccia. On the complexity of terminological logics with numerical restriction. In Proceedings of the Italian Workshop on Terminological and Hybrid Reasoning, Roma, IT, 1990. Proceedings published as a special issue of AI*IA Notizie (Bulletin of the Italian Association for Artificial Intelligence), 5(2), 1992.

1991

Fabrizio Sebastiani. A fully model-theoretic semantics for model-preference default systems. In Michel De Glas and Dov M. Gabbay (eds.), Proceedings of the 1st World Conference on the Foundations of Artificial Intelligence (WOCFAI 1991), Paris, FR, 1991, pp. 439-445. [PDF]
Fabrizio Sebastiani and Umberto Straccia. A computationally tractable terminological logic. In Brian Mayoh (ed.), Proceedings of the 3rd Scandinavian Conference on Artificial Intelligence (SCAI 1991), Roskilde, DK, 1991, pp. 307-315. Published by IOS Press, Amsterdam, NL. [PDF]
Carlo Meghini and Fabrizio Sebastiani. Knowledge base vivification by model-preference default reasoning. In Peter Barnev (ed.), Proceedings of the 16th International Summer School on Computer Science (Programming 1991), Sofia, BL, 1991, pp. 37-56. [PDF]

1990

Fabrizio Sebastiani. A proof-theoretic account of model-preference default systems. In Philippe Jorrand and Vladimir Sgurev (eds.), Artificial Intelligence: Methodology, Systems, Applications, Elsevier Science Publishers, Amsterdam, NL, 1990, pp. 51-60.
Fabrizio Sebastiani. On heterogeneous model-preference default theories. In Peter F. Patel-Schneider (ed.), Proceedings of the 8th Biennial Conference of the Canadian Society for Computational Studies of Intelligence (CSCSI/SCEIO 1990), Ottawa, CA, 1990, pp. 84-91. [PDF]
Fabrizio Sebastiani. A model-theoretic semantics for model-preference default systems (extended abstract). In Alberto Martelli and Giorgio Valle (eds.), Proceedings of the 2nd International Conference on Computational Intelligence (CI 1990), Milano, IT, 1990, p. 72.

1989

Alessandro Saffiotti and Fabrizio Sebastiani. Towards a hybrid logic of acquaintance and awareness. In Anthony Cohn (ed.), Proceedings of the 7th Conference of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB 1989), Brighton, UK, 1989, pp. 95-103. Published by Morgan Kaufmann Publishers, San Mateo, US.

1988

Alessandro Saffiotti and Fabrizio Sebastiani. Acquaintance and awareness in belief representation. In Alberto Martelli and Giorgio Valle (eds.), Computational Intelligence I, North Holland, Amsterdam, NL, 1988, pp. 159-161.
Alessandro Saffiotti and Fabrizio Sebastiani. Dialogue modelling in M-KRYPTON, a hybrid language for multiple believers. In Elaine Kant and Dennis O'Neill (eds.), Proceedings of the 4th IEEE Conference on Artificial Intelligence Applications (CAIA 1988), San Diego, US, 1988, pp. 56-61.

1987

1986

Fabrizio Sebastiani, Giacomo Ferrari and Irina Prodanof. Semantic interpretation of technical text. In Luc Steels (ed.), Proceedings of the 7th European Conference on Artificial Intelligence (ECAI 1986), Volume 2, Brighton, UK, 1986, pp. 15-22.
Fabrizio Sebastiani, Giacomo Ferrari and Irina Prodanof. A conceptual dictionary for contextually based structure selection. In Gayle Johannesen (ed.), Proceedings of the 2nd Annual Conference of the University of Waterloo Centre for the New Oxford English Dictionary, Waterloo, CA, 1986, pp. 127-146.
Fabrizio Sebastiani, Giacomo Ferrari and Irina Prodanof. QWERTY: A semantic interpreter of technical texts. In Philippe Jorrand and Vladimir Sgurev (eds.), Proceedings of the 2nd International Conference on Artificial Intelligence Methodologies, Systems and Application (AIMSA 1986), Varna, BL, 1986, pp. 241-243.