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ORCIDFabrizio Sebastiani 0001
Person information
- affiliation: Qatar Computing Research Institute, Doha, Qatar
- affiliation (former): CNR, Pisa, Italy
Other persons with the same name
- Fabrizio Sebastiani 0002 — Centro INAIL RTR, Viareggio, Italy
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2020 – today
- 2024
[j57]Alejandro Moreo
, Manuel Francisco, Fabrizio Sebastiani:
Multi-Label Quantification. ACM Trans. Knowl. Discov. Data 18(1): 4:1-4:36 (2024)- [j56]Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani:
Same or Different? Diff-Vectors for Authorship Analysis. ACM Trans. Knowl. Discov. Data 18(1): 12:1-12:36 (2024) - 2023
- [b1]Andrea Esuli, Alessandro Fabris, Alejandro Moreo, Fabrizio Sebastiani:
Learning to Quantify. The Information Retrieval Series 47, Springer 2023, ISBN 978-3-031-20466-1, pp. 1-123 - [j55]Alessio Molinari, Andrea Esuli, Fabrizio Sebastiani:
Improved risk minimization algorithms for technology-assisted review. Intell. Syst. Appl. 18: 200209 (2023) - [j54]Alessandro Fabris, Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach. J. Artif. Intell. Res. 76: 1117-1180 (2023) - [j53]Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani:
Syllabic quantity patterns as rhythmic features for Latin authorship attribution. J. Assoc. Inf. Sci. Technol. 74(1): 128-141 (2023) - [j52]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): 36:1-36:37 (2023) - [i41]Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani:
Same or Different? Diff-Vectors for Authorship Analysis. CoRR abs/2301.09862 (2023) - [i40]Pablo González, Alejandro Moreo, Fabrizio Sebastiani:
Binary Quantification and Dataset Shift: An Experimental Investigation. CoRR abs/2310.04565 (2023) - [i39]Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz:
Regularization-Based Methods for Ordinal Quantification. CoRR abs/2310.09210 (2023) - [i38]Mattia Setzu, Silvia Corbara, Anna Monreale, Alejandro Moreo, Fabrizio Sebastiani:
Explainable Authorship Identification in Cultural Heritage Applications: Analysis of a New Perspective. CoRR abs/2311.02237 (2023) - 2022
- [j51]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): 57:1-57:15 (2022) - [j50]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): 13:1-13:15 (2022) - [j49]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): 49-51 (2022) - [j48]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
Lost in Transduction: Transductive Transfer Learning in Text Classification. ACM Trans. Knowl. Discov. Data 16(1): 13:1-13:21 (2022) - [c89]Alessio Molinari, Andrea Esuli, Fabrizio Sebastiani:
Active Learning and the Saerens-Latinne-Decaestecker Algorithm: An Evaluation. CIRCLE 2022 - [c88]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani, Gianluca Sperduti:
A Concise Overview of LeQua@CLEF 2022: Learning to Quantify. CLEF 2022: 362-381 - [c87]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani, Gianluca Sperduti:
A Detailed Overview of LeQua@CLEF 2022: Learning to Quantify. CLEF (Working Notes) 2022: 1849-1868 - [c86]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
LeQua@CLEF2022: Learning to Quantify. ECIR (2) 2022: 374-381 - [c85]Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz:
Ordinal Quantification Through Regularization. ECML/PKDD (5) 2022: 36-52 - [e11]Alberto Barrón-Cedeño, Giovanni Da San Martino, Mirko Degli Esposti, Fabrizio Sebastiani, Craig Macdonald, Gabriella Pasi, Allan Hanbury, Martin Potthast, Guglielmo Faggioli, Nicola Ferro:
Experimental IR Meets Multilinguality, Multimodality, and Interaction - 13th International Conference of the CLEF Association, CLEF 2022, Bologna, Italy, September 5-8, 2022, Proceedings. Lecture Notes in Computer Science 13390, Springer 2022, ISBN 978-3-031-13642-9 [contents] - [i37]Barbara Berti, Andrea Esuli, Fabrizio Sebastiani:
Unravelling Interlanguage Facts via Explainable Machine Learning. CoRR abs/2208.01468 (2022) - [i36]Alejandro Moreo, Manuel Francisco, Fabrizio Sebastiani:
Multi-Label Quantification. CoRR abs/2211.08063 (2022) - 2021
- [j47]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
Word-class embeddings for multiclass text classification. Data Min. Knowl. Discov. 35(3): 911-963 (2021) - [j46]Raffaele Perego, Fabrizio Sebastiani:
Report on the 43rd european conference on information retrieval (ECIR 2021). SIGIR Forum 55(1): 9:1-9:5 (2021) - [j45]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): 19:1-19:34 (2021) - [c84]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
LeQua @ CLEF 2022: A Shared Task for Evaluating Quantification Systems. CIKM Workshops 2021 - [c83]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
QuaPy: A Python-Based Framework for Quantification. CIKM 2021: 4534-4543 - [c82]Juan José del Coz, Pablo González, Alejandro Moreo, Fabrizio Sebastiani:
Learning to Quantify: Methods and Applications (LQ 2021). CIKM 2021: 4874-4875 - [c81]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
QuaPy: A Publicly Available Python-Based Software Library for Quantification. CIKM Workshops 2021 - [c80]Alejandro Moreo, Fabrizio Sebastiani:
Re-assessing the "Classify and Count" Quantification Method. ECIR (2) 2021: 75-91 - [c79]Andrea Pedrotti, Fabrizio Sebastiani, Alejandro Moreo:
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification. IIR 2021 - [c78]Gianluca Sperduti, Alejandro Moreo, Fabrizio Sebastiani:
Garbled-Word Embeddings for Jumbled Text. IIR 2021 - [c77]Alejandro Moreo, Andrea Pedrotti, Fabrizio Sebastiani:
Heterogeneous document embeddings for cross-lingual text classification. SAC 2021: 685-688 - [e10]Djoerd Hiemstra, Marie-Francine Moens, Josiane Mothe, Raffaele Perego, Martin Potthast, Fabrizio Sebastiani:
Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12656, Springer 2021, ISBN 978-3-030-72112-1 [contents] - [e9]Djoerd Hiemstra, Marie-Francine Moens, Josiane Mothe, Raffaele Perego, Martin Potthast, Fabrizio Sebastiani:
Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12657, Springer 2021, ISBN 978-3-030-72239-5 [contents] - [i35]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
QuaPy: A Python-Based Framework for Quantification. CoRR abs/2106.11057 (2021) - [i34]Alessandro Fabris, Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Measuring Fairness under Unawareness via Quantification. CoRR abs/2109.08549 (2021) - [i33]Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani:
Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attribution. CoRR abs/2110.14203 (2021) - [i32]Alejandro Moreo, Andrea Pedrotti, Fabrizio Sebastiani:
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification. CoRR abs/2110.14764 (2021) - [i31]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
LeQua@CLEF2022: Learning to Quantify. CoRR abs/2111.11249 (2021) - 2020
- [j44]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Cross-Lingual Sentiment Quantification. IEEE Intell. Syst. 35(3): 106-114 (2020) - [j43]Fabrizio Sebastiani:
Evaluation measures for quantification: an axiomatic approach. Inf. Retr. J. 23(3): 255-288 (2020) - [j42]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): 4:1-4:6 (2020) - [j41]Djoerd Hiemstra, Marie-Francine Moens, Raffaele Perego, Fabrizio Sebastiani:
Transitioning the information retrieval literature to a fully open access model. SIGIR Forum 54(1): 13:1-13:10 (2020) - [j40]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
Learning to Weight for Text Classification. IEEE Trans. Knowl. Data Eng. 32(2): 302-316 (2020) - [i30]Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani, Mirko Tavoni:
MedLatin1 and MedLatin2: Two Datasets for the Computational Authorship Analysis of Medieval Latin Texts. CoRR abs/2006.12289 (2020) - [i29]Alejandro Moreo, Fabrizio Sebastiani:
Re-Assessing the "Classify and Count" Quantification Method. CoRR abs/2011.02552 (2020) - [i28]Alejandro Moreo, Fabrizio Sebastiani:
Tweet Sentiment Quantification: An Experimental Re-Evaluation. CoRR abs/2011.08091 (2020)
2010 – 2019
- 2019
- [j39]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): 11:1-11:35 (2019) - [j38]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): 37:1-37:30 (2019) - [c76]Alejandro Moreo, Fabrizio Sebastiani:
Tutorial: Supervised Learning for Prevalence Estimation. FQAS 2019: 13-17 - [c75]Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani, Mirko Tavoni:
The Epistle to Cangrande Through the Lens of Computational Authorship Verification. ICIAP Workshops 2019: 148-158 - [c74]Pepa Atanasova, Georgi Karadzhov, Yasen Kiprov, Preslav Nakov, Fabrizio Sebastiani:
Evaluating Variable-Length Multiple-Option Lists in Chatbots and Mobile Search. SIGIR 2019: 997-1000 - [c73]Alejandro Moreo, Fabrizio Sebastiani:
Learning to Quantify: Estimating Class Prevalence via Supervised Learning. SIGIR 2019: 1415-1416 - [i27]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and its Application to Polylingual Text Classification. CoRR abs/1901.11459 (2019) - [i26]Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Learning to Weight for Text Classification. CoRR abs/1903.12090 (2019) - [i25]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Building Automated Survey Coders via Interactive Machine Learning. CoRR abs/1903.12110 (2019) - [i24]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Cross-Lingual Sentiment Quantification. CoRR abs/1904.07965 (2019) - [i23]Pepa Atanasova, Georgi Karadzhov, Yasen Kiprov, Preslav Nakov, Fabrizio Sebastiani:
Evaluating Variable-Length Multiple-Option Lists in Chatbots and Mobile Search. CoRR abs/1905.10565 (2019) - [i22]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
Word-Class Embeddings for Multiclass Text Classification. CoRR abs/1911.11506 (2019) - [i21]Preslav Nakov, Alan Ritter, Sara Rosenthal, Fabrizio Sebastiani, Veselin Stoyanov:
SemEval-2016 Task 4: Sentiment Analysis in Twitter. CoRR abs/1912.01973 (2019) - 2018
- [j37]Amartya Sanyal, Pawan Kumar, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani:
Optimizing non-decomposable measures with deep networks. Mach. Learn. 107(8-10): 1597-1620 (2018) - [c72]Andrea Esuli, Alejandro Moreo Fernández, Fabrizio Sebastiani:
A Recurrent Neural Network for Sentiment Quantification. CIKM 2018: 1775-1778 - [c71]Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Lightweight Random Indexing for Polylingual Text Classification (Extended Abstract). IJCAI 2018: 5642-5646 - [c70]Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification (Extended Abstract). IJCAI 2018: 5647-5651 - [p1]Giuseppe Amato, Leonardo Candela, Donatella Castelli, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Fosca Giannotti, Anna Monreale, Mirco Nanni, Pasquale Pagano, Luca Pappalardo, Dino Pedreschi, Francesca Pratesi, Fausto Rabitti, Salvatore Rinzivillo, Giulio Rossetti, Salvatore Ruggieri, Fabrizio Sebastiani, Maurizio Tesconi:
How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science. A Comprehensive Guide Through the Italian Database Research 2018: 287-306 - [e8]Dawei Song, Tie-Yan Liu, Le Sun, Peter Bruza, Massimo Melucci, Fabrizio Sebastiani, Grace Hui Yang:
Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2018, Tianjin, China, September 14-17, 2018. ACM 2018 [contents] - [r4]Carlo Meghini, Fabrizio Sebastiani, Umberto Straccia:
Multimedia Information Retrieval Model. Encyclopedia of Database Systems (2nd ed.) 2018 - [r3]Fabrizio Sebastiani:
Sentiment Quantification of User-Generated Content. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i20]Amartya Sanyal, Pawan Kumar, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani:
Optimizing Non-decomposable Measures with Deep Networks. CoRR abs/1802.00086 (2018) - [i19]Andrea Esuli, Alejandro Moreo Fernández, Fabrizio Sebastiani:
A Recurrent Neural Network for Sentiment Quantification. CoRR abs/1809.00836 (2018) - [i18]Fabrizio Sebastiani:
Evaluation Measures for Quantification: An Axiomatic Approach. CoRR abs/1809.01991 (2018) - [i17]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
Revisiting Distributional Correspondence Indexing: A Python Reimplementation and New Experiments. CoRR abs/1810.09311 (2018) - [i16]Diego Marcheggiani, Fabrizio Sebastiani:
The Impacts of Low-Quality Training Data on Information Extraction from Clinical Reports. ERCIM News 2018(112) (2018) - 2017
- [j36]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): 1:1-1:25 (2017) - [c69]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: 456-459 - [i15]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 abs/1703.04280 (2017) - [i14]Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Lightweight Random Indexing for Polylingual Text Classification. ERCIM News 2017(110) (2017) - [i13]Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification. ERCIM News 2017(111) (2017) - 2016
- [j35]Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification. J. Artif. Intell. Res. 55: 131-163 (2016) - [j34]Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Lightweight Random Indexing for Polylingual Text Classification. J. Artif. Intell. Res. 57: 151-185 (2016) - [j33]Wei Gao, Fabrizio Sebastiani:
From classification to quantification in tweet sentiment analysis. Soc. Netw. Anal. Min. 6(1): 19:1-19:22 (2016) - [c68]Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Transductive Distributional Correspondence Indexing for Cross-Domain Topic Classification. IIR 2016 - [c67]Purushottam Kar, Shuai Li, Harikrishna Narasimhan, Sanjay Chawla, Fabrizio Sebastiani:
Online Optimization Methods for the Quantification Problem. KDD 2016: 1625-1634 - [c66]Preslav Nakov, Alan Ritter, Sara Rosenthal, Fabrizio Sebastiani, Veselin Stoyanov:
SemEval-2016 Task 4: Sentiment Analysis in Twitter. SemEval@NAACL-HLT 2016: 1-18 - [c65]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: 58-63 - [c64]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
Distributional Random Oversampling for Imbalanced Text Classification. SIGIR 2016: 805-808 - [c63]Giovanni Da San Martino, Wei Gao, Fabrizio Sebastiani:
Ordinal Text Quantification. SIGIR 2016: 937-940 - [c62]Fabrizio Sebastiani:
The Challenge of Sentiment Quantification. WASSA@NAACL-HLT 2016: 173 - [e7]Raffaele Perego, Fabrizio Sebastiani, Javed A. Aslam, Ian Ruthven, Justin Zobel:
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR 2016, Pisa, Italy, July 17-21, 2016. ACM 2016, ISBN 978-1-4503-4069-4 [contents] - [i12]Shuai Li, Harikrishna Narasimhan, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani:
Stochastic Optimization Techniques for Quantification Performance Measures. CoRR abs/1605.04135 (2016) - 2015
- [j32]Walid Magdy, Hassan Sajjad, Tarek El-Ganainy, Fabrizio Sebastiani:
Bridging social media via distant supervision. Soc. Netw. Anal. Min. 5(1): 35:1-35:12 (2015) - [j31]Andrea Esuli, Fabrizio Sebastiani:
Optimizing Text Quantifiers for Multivariate Loss Functions. ACM Trans. Knowl. Discov. Data 9(4): 27:1-27:27 (2015) - [j30]Giacomo Berardi, Andrea Esuli, Fabrizio Sebastiani:
Utility-Theoretic Ranking for Semiautomated Text Classification. ACM Trans. Knowl. Discov. Data 10(1): 6:1-6:32 (2015) - [c61]Wei Gao, Fabrizio Sebastiani:
Tweet Sentiment: From Classification to Quantification. ASONAM 2015: 97-104 - [c60]Giacomo Berardi, Andrea Esuli, Craig Macdonald, Iadh Ounis, Fabrizio Sebastiani:
Semi-Automated Text Classification for Sensitivity Identification. CIKM 2015: 1711-1714 - [c59]Letizia Milli, Anna Monreale, Giulio Rossetti, Dino Pedreschi, Fosca Giannotti, Fabrizio Sebastiani:
Quantification in social networks. DSAA 2015: 1-10 - [c58]Fabrizio Sebastiani:
An Axiomatically Derived Measure for the Evaluation of Classification Algorithms. ICTIR 2015: 11-20 - [c57]Walid Magdy, Hassan Sajjad, Tarek El-Ganainy, Fabrizio Sebastiani:
Distant Supervision for Tweet Classification Using YouTube Labels. ICWSM 2015: 638-641 - [c56]Giacomo Berardi, Andrea Esuli, Tiziano Fagni, Fabrizio Sebastiani:
Multi-store metadata-based supervised mobile app classification. SAC 2015: 585-588 - [c55]Giacomo Berardi, Andrea Esuli, Tiziano Fagni, Fabrizio Sebastiani:
Classifying websites by industry sector: a study in feature design. SAC 2015: 1053-1059 - [e6]Paolo Boldi, Raffaele Perego, Fabrizio Sebastiani:
Proceedings of the 6th Italian Information Retrieval Workshop, Cagliari, Italy, May 25-26, 2015. CEUR Workshop Proceedings 1404, CEUR-WS.org 2015 [contents] - [i11]Diego Marcheggiani, Fabrizio Sebastiani:
On the Effects of Low-Quality Training Data on Information Extraction from Clinical Reports. CoRR abs/1502.05472 (2015) - [i10]Andrea Esuli, Fabrizio Sebastiani:
Optimizing Text Quantifiers for Multivariate Loss Functions. CoRR abs/1502.05491 (2015) - [i9]Giacomo Berardi, Andrea Esuli, Fabrizio Sebastiani:
Utility-Theoretic Ranking for Semi-Automated Text Classification. CoRR abs/1503.00491 (2015) - [i8]Walid Magdy, Hassan Sajjad, Tarek El-Ganainy, Fabrizio Sebastiani:
Bridging Social Media via Distant Supervision. CoRR abs/1503.04424 (2015) - [i7]Andrea Esuli, Fabrizio Sebastiani:
Optimizing Text Quantifiers for Multivariate Loss Functions. ERCIM News 2015(100) (2015) - 2014
- [j29]Stefano Baccianella, Andrea Esuli, Fabrizio Sebastiani:
Feature Selection for Ordinal Text Classification. Neural Comput. 26(3): 557-591 (2014) - [c54]Andrea Esuli, Fabrizio Sebastiani:
Explicit Loss Minimization in Quantification Applications (Preliminary Draft). DART@AI*IA 2014: 1-11 - [c53]Diego Marcheggiani, Oscar Täckström, Andrea Esuli, Fabrizio Sebastiani:
Hierarchical Multi-label Conditional Random Fields for Aspect-Oriented Opinion Mining. ECIR 2014: 273-285 - [c52]Fabrizio Sebastiani:
Text Quantification. ECIR 2014: 819-822 - 2013
- [j28]Stefano Baccianella, Andrea Esuli, Fabrizio Sebastiani:
Variable-constraint classification and quantification of radiology reports under the ACR Index. Expert Syst. Appl. 40(9): 3441-3449 (2013) - [j27]Stefano Baccianella, Andrea Esuli, Fabrizio Sebastiani:
Using micro-documents for feature selection: The case of ordinal text classification. Expert Syst. Appl. 40(11): 4687-4696 (2013) - [j26]Giacomo Berardi, Andrea Esuli, Fabrizio Sebastiani, Fabrizio Silvestri:
Endorsements and rebuttals in blog distillation. Inf. Sci. 249: 38-47 (2013) - [j25]Andrea Esuli, Diego Marcheggiani, Fabrizio Sebastiani:
An enhanced CRFs-based system for information extraction from radiology reports. J. Biomed. Informatics 46(3): 425-435 (2013) - [j24]Roberto Grossi, Fabrizio Sebastiani, Fabrizio Silvestri:
Editorial. J. Discrete Algorithms 18: 1-2 (2013) - [j23]Stefano Baccianella, Andrea Esuli, Fabrizio Sebastiani:
StarTrack: The Next Generation (of Product Review Management Tools). New Gener. Comput. 31(1): 47-70 (2013) - [j22]Andrea Esuli, Fabrizio Sebastiani:
Improving Text Classification Accuracy by Training Label Cleaning. ACM Trans. Inf. Syst. 31(4): 19:1-19:28 (2013) - [c51]Letizia Milli, Anna Monreale, Giulio Rossetti, Fosca Giannotti,