Fabrizio Sebastiani

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 86

Top Venues

CoRR

ACM Trans. Knowl. Discov. Data

ACM Trans. Inf. Syst.

CIKM

Publications

Alejandro Moreo, Manuel Francisco, Fabrizio Sebastiani
Multi-Label Quantification. ACM Trans. Knowl. Discov. Data 18 (1) (2024)
Pablo González, Alejandro Moreo, Fabrizio Sebastiani
Binary quantification and dataset shift: an experimental investigation. Data Min. Knowl. Discov. 38 (4) (2024)
Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani
Same or Different? Diff-Vectors for Authorship Analysis. ACM Trans. Knowl. Discov. Data 18 (1) (2024)
Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani
Syllabic quantity patterns as rhythmic features for Latin authorship attribution. J. Assoc. Inf. Sci. Technol. 74 (1) (2023)
Mattia Setzu, Silvia Corbara, Anna Monreale, Alejandro Moreo, Fabrizio Sebastiani
Explainable Authorship Identification in Cultural Heritage Applications: Analysis of a New Perspective. CoRR (2023)
Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani
Same or Different? Diff-Vectors for Authorship Analysis. CoRR (2023)
Alessio Molinari, Andrea Esuli, Fabrizio Sebastiani
Improved risk minimization algorithms for technology-assisted review. Intell. Syst. Appl. 18 (2023)
Barbara Berti, Andrea Esuli, Fabrizio Sebastiani
Unravelling interlanguage facts via explainable machine learning. Digit. Scholarsh. Humanit. 38 (3) (2023)
Alejandro Moreo, Andrea Pedrotti, Fabrizio Sebastiani
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification. ACM Trans. Inf. Syst. 41 (2) (2023)
Mirko Bunse, Pablo González, Alejandro Moreo, Fabrizio Sebastiani
Report on the 3rd International Workshop onLearning to Quantify (LQ 2023). SIGKDD Explor. 25 (2) (2023)
Pablo González, Alejandro Moreo, Fabrizio Sebastiani
Binary Quantification and Dataset Shift: An Experimental Investigation. CoRR (2023)
Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz
Regularization-Based Methods for Ordinal Quantification. CoRR (2023)
Alessandro Fabris, Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani
Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach. J. Artif. Intell. Res. 76 (2023)
Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani, Gianluca Sperduti
A Detailed Overview of LeQua@CLEF 2022: Learning to Quantify. CLEF (Working Notes) (2022)
Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani
Lost in Transduction: Transductive Transfer Learning in Text Classification. ACM Trans. Knowl. Discov. Data 16 (1) (2022)
Barbara Berti, Andrea Esuli, Fabrizio Sebastiani
Unravelling Interlanguage Facts via Explainable Machine Learning. CoRR (2022)
Juan José del Coz, Pablo González, Alejandro Moreo, Fabrizio Sebastiani
Report on the 1st International Workshop on Learning to Quantify (LQ 2021). SIGKDD Explor. 24 (1) (2022)
Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani
LeQua@CLEF2022: Learning to Quantify. ECIR (2) (2022)
Alberto Barrón-Cedeño, Giovanni Da San Martino, Mirko Degli Esposti, Guglielmo Faggioli, Nicola Ferro, Allan Hanbury, Craig Macdonald, Gabriella Pasi, Martin Potthast, Fabrizio Sebastiani
Report on the 13th Conference and Labs of the Evaluation Forum (CLEF 2022): Experimental IR Meets Multilinguality, Multimodality, and Interaction. SIGIR Forum 56 (2) (2022)
Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani, Gianluca Sperduti
A Concise Overview of LeQua@CLEF 2022: Learning to Quantify. CLEF (2022)
Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani, 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) (2022)
Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz
Ordinal Quantification Through Regularization. ECML/PKDD (5) (2022)
Alessio Molinari, Andrea Esuli, Fabrizio Sebastiani
Active Learning and the Saerens-Latinne-Decaestecker Algorithm: An Evaluation. CIRCLE (2022)
Alejandro Moreo, Manuel Francisco, Fabrizio Sebastiani
Multi-Label Quantification. CoRR (2022)
Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani
QuaPy: A Publicly Available Python-Based Software Library for Quantification. CIKM Workshops (2021)
Alessandro Fabris, Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani
Measuring Fairness under Unawareness via Quantification. CoRR (2021)
Gianluca Sperduti, Alejandro Moreo, Fabrizio Sebastiani
Garbled-Word Embeddings for Jumbled Text. IIR (2021)
Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani
Word-class embeddings for multiclass text classification. Data Min. Knowl. Discov. 35 (3) (2021)
Raffaele Perego, Fabrizio Sebastiani
Report on the 43rd european conference on information retrieval (ECIR 2021). SIGIR Forum 55 (1) (2021)
Alejandro Moreo, Andrea Pedrotti, Fabrizio Sebastiani
Heterogeneous document embeddings for cross-lingual text classification. SAC (2021)
Alejandro Moreo, Fabrizio Sebastiani
Re-assessing the "Classify and Count" Quantification Method. ECIR (2) (2021)
Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani
Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attribution. CoRR (2021)
Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani
QuaPy: A Python-Based Framework for Quantification. CIKM (2021)
Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani
QuaPy: A Python-Based Framework for Quantification. CoRR (2021)
Andrea Esuli, Alessio Molinari, Fabrizio Sebastiani
A Critical Reassessment of the Saerens-Latinne-Decaestecker Algorithm for Posterior Probability Adjustment. ACM Trans. Inf. Syst. 39 (2) (2021)
Andrea Pedrotti, Fabrizio Sebastiani, Alejandro Moreo
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification. IIR (2021)
Alejandro Moreo, Andrea Pedrotti, Fabrizio Sebastiani
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification. CoRR (2021)
Juan José del Coz, Pablo González, Alejandro Moreo, Fabrizio Sebastiani
Learning to Quantify: Methods and Applications (LQ 2021). CIKM (2021)
Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani
LeQua@CLEF2022: Learning to Quantify. CoRR (2021)
Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani
LeQua @ CLEF 2022: A Shared Task for Evaluating Quantification Systems. CIKM Workshops (2021)
Tanya Y. Berger-Wolf, Ben Carterette, Tamer Elsayed, C. Maria Keet, Fabrizio Sebastiani, Hussein Suleman
Report on the 2nd ACM SIGIR/SIGKDD Africa school on machine learning for data mining and search. SIGIR Forum 54 (1) (2020)
Fabrizio Sebastiani
Evaluation measures for quantification: an axiomatic approach. Inf. Retr. J. 23 (3) (2020)
Alejandro Moreo, Fabrizio Sebastiani
Re-Assessing the "Classify and Count" Quantification Method. CoRR (2020)
Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani, Mirko Tavoni
MedLatin1 and MedLatin2: Two Datasets for the Computational Authorship Analysis of Medieval Latin Texts. CoRR (2020)
Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani
Learning to Weight for Text Classification. IEEE Trans. Knowl. Data Eng. 32 (2) (2020)
Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani
Cross-Lingual Sentiment Quantification. IEEE Intell. Syst. 35 (3) (2020)
Djoerd Hiemstra, Marie-Francine Moens, Raffaele Perego, Fabrizio Sebastiani
Transitioning the information retrieval literature to a fully open access model. SIGIR Forum 54 (1) (2020)
Alejandro Moreo, Fabrizio Sebastiani
Tweet Sentiment Quantification: An Experimental Re-Evaluation. CoRR (2020)
Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani
Learning to Weight for Text Classification. CoRR (2019)
Pepa Atanasova, Georgi Karadzhov, Yasen Kiprov, Preslav Nakov, Fabrizio Sebastiani
Evaluating Variable-Length Multiple-Option Lists in Chatbots and Mobile Search. CoRR (2019)
Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani
Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and its Application to Polylingual Text Classification. CoRR (2019)
Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani
Building Automated Survey Coders via Interactive Machine Learning. CoRR (2019)
Preslav Nakov, Alan Ritter, Sara Rosenthal, Fabrizio Sebastiani, Veselin Stoyanov
SemEval-2016 Task 4: Sentiment Analysis in Twitter. CoRR (2019)
Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani, Mirko Tavoni
The Epistle to Cangrande Through the Lens of Computational Authorship Verification. ICIAP Workshops (2019)
Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani
Word-Class Embeddings for Multiclass Text Classification. CoRR (2019)
Alejandro Moreo, Fabrizio Sebastiani
Tutorial: Supervised Learning for Prevalence Estimation. FQAS (2019)
Douglas W. Oard, Fabrizio Sebastiani, Jyothi Keshavan Vinjumur
Jointly Minimizing the Expected Costs of Review for Responsiveness and Privilege in E-Discovery. ACM Trans. Inf. Syst. 37 (1) (2019)
Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani
Cross-Lingual Sentiment Quantification. CoRR (2019)
Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani
Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and Its Application to Cross-Lingual Text Classification. ACM Trans. Inf. Syst. 37 (3) (2019)
Pepa Atanasova, Georgi Karadzhov, Yasen Kiprov, Preslav Nakov, Fabrizio Sebastiani
Evaluating Variable-Length Multiple-Option Lists in Chatbots and Mobile Search. SIGIR (2019)
Alejandro Moreo, Fabrizio Sebastiani
Learning to Quantify: Estimating Class Prevalence via Supervised Learning. SIGIR (2019)
Diego Marcheggiani, Fabrizio Sebastiani
The Impacts of Low-Quality Training Data on Information Extraction from Clinical Reports. ERCIM News 2018 (112) (2018)
Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani
Lightweight Random Indexing for Polylingual Text Classification (Extended Abstract). IJCAI (2018)
Amartya Sanyal, Pawan Kumar, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani
Optimizing non-decomposable measures with deep networks. Mach. Learn. 107 (8-10) (2018)
Fabrizio Sebastiani
Evaluation Measures for Quantification: An Axiomatic Approach. CoRR (2018)
Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani
Revisiting Distributional Correspondence Indexing: A Python Reimplementation and New Experiments. CoRR (2018)
Andrea Esuli, Alejandro Moreo Fernández, Fabrizio Sebastiani
A Recurrent Neural Network for Sentiment Quantification. CoRR (2018)
Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani
Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification (Extended Abstract). IJCAI (2018)
Amartya Sanyal, Pawan Kumar, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani
Optimizing Non-decomposable Measures with Deep Networks. CoRR (2018)
Andrea Esuli, Alejandro Moreo Fernández, Fabrizio Sebastiani
A Recurrent Neural Network for Sentiment Quantification. CIKM (2018)
Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani
Lightweight Random Indexing for Polylingual Text Classification. ERCIM News 2017 (110) (2017)
Noora Al Emadi, Sofiane Abbar, Javier Borge-Holthoefer, Francisco Guzmán, Fabrizio Sebastiani
QT2S: A System for Monitoring Road Traffic via Fine Grounding of Tweets. CoRR (2017)
Diego Marcheggiani, Fabrizio Sebastiani
On the Effects of Low-Quality Training Data on Information Extraction from Clinical Reports. ACM J. Data Inf. Qual. 9 (1) (2017)
Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani
Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification. ERCIM News 2017 (111) (2017)
Noora Al Emadi, Sofiane Abbar, Javier Borge-Holthoefer, Francisco Guzmán, Fabrizio Sebastiani
QT2S: A System for Monitoring Road Traffic Via Fine Grounding of Tweets. ICWSM (2017)
Giovanni Da San Martino, Wei Gao, Fabrizio Sebastiani
Ordinal Text Quantification. SIGIR (2016)
Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani
Distributional Random Oversampling for Imbalanced Text Classification. SIGIR (2016)
Fabrizio Sebastiani
The Challenge of Sentiment Quantification. WASSA@NAACL-HLT (2016)
Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani
Transductive Distributional Correspondence Indexing for Cross-Domain Topic Classification. IIR (2016)
Shuai Li, Harikrishna Narasimhan, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani
Stochastic Optimization Techniques for Quantification Performance Measures. CoRR (2016)
Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani
Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification. J. Artif. Intell. Res. 55 (2016)
Giovanni Da San Martino, Wei Gao, Fabrizio Sebastiani
QCRI at SemEval-2016 Task 4: Probabilistic Methods for Binary and Ordinal Quantification. SemEval@NAACL-HLT (2016)
Preslav Nakov, Alan Ritter, Sara Rosenthal, Fabrizio Sebastiani, Veselin Stoyanov
SemEval-2016 Task 4: Sentiment Analysis in Twitter. SemEval@NAACL-HLT (2016)
Purushottam Kar, Shuai Li, Harikrishna Narasimhan, Sanjay Chawla, Fabrizio Sebastiani
Online Optimization Methods for the Quantification Problem. KDD (2016)
Wei Gao, Fabrizio Sebastiani
From classification to quantification in tweet sentiment analysis. Soc. Netw. Anal. Min. 6 (1) (2016)
Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani
Lightweight Random Indexing for Polylingual Text Classification. J. Artif. Intell. Res. 57 (2016)
Andrea Esuli, Fabrizio Sebastiani
Optimizing Text Quantifiers for Multivariate Loss Functions. ERCIM News 2015 (100) (2015)
Giacomo Berardi, Andrea Esuli, Craig Macdonald, Iadh Ounis, Fabrizio Sebastiani
Semi-Automated Text Classification for Sensitivity Identification. CIKM (2015)
Giacomo Berardi, Andrea Esuli, Tiziano Fagni, Fabrizio Sebastiani
Multi-store metadata-based supervised mobile app classification. SAC (2015)
Walid Magdy, Hassan Sajjad, Tarek El-Ganainy, Fabrizio Sebastiani
Distant Supervision for Tweet Classification Using YouTube Labels. ICWSM (2015)
Andrea Esuli, Fabrizio Sebastiani
Optimizing Text Quantifiers for Multivariate Loss Functions. ACM Trans. Knowl. Discov. Data 9 (4) (2015)
Andrea Esuli, Fabrizio Sebastiani
Optimizing Text Quantifiers for Multivariate Loss Functions. CoRR (2015)
Walid Magdy, Hassan Sajjad, Tarek El-Ganainy, Fabrizio Sebastiani
Bridging Social Media via Distant Supervision. CoRR (2015)
Giacomo Berardi, Andrea Esuli, Tiziano Fagni, Fabrizio Sebastiani
Classifying websites by industry sector: a study in feature design. SAC (2015)
Diego Marcheggiani, Fabrizio Sebastiani
On the Effects of Low-Quality Training Data on Information Extraction from Clinical Reports. CoRR (2015)
Fabrizio Sebastiani
An Axiomatically Derived Measure for the Evaluation of Classification Algorithms. ICTIR (2015)
Wei Gao, Fabrizio Sebastiani
Tweet Sentiment: From Classification to Quantification. ASONAM (2015)
Letizia Milli, Anna Monreale, Giulio Rossetti, Dino Pedreschi, Fosca Giannotti, Fabrizio Sebastiani
Quantification in social networks. DSAA (2015)
Giacomo Berardi, Andrea Esuli, Fabrizio Sebastiani
Utility-Theoretic Ranking for Semiautomated Text Classification. ACM Trans. Knowl. Discov. Data 10 (1) (2015)
Giacomo Berardi, Andrea Esuli, Fabrizio Sebastiani
Utility-Theoretic Ranking for Semi-Automated Text Classification. CoRR (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fabrizio Sebastiani