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Alejandro Moreo
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2020 – today
- 2024
- [j27]Pablo González, Alejandro Moreo, Fabrizio Sebastiani:
Binary quantification and dataset shift: an experimental investigation. Data Min. Knowl. Discov. 38(4): 1670-1712 (2024) - [j26]Mattia Setzu, Silvia Corbara, Anna Monreale, Alejandro Moreo, Fabrizio Sebastiani:
Explainable Authorship Identification in Cultural Heritage Applications. ACM Journal on Computing and Cultural Heritage 17(3): 44:1-44:23 (2024) - [j25]Alejandro Moreo, Manuel Francisco, Fabrizio Sebastiani:
Multi-Label Quantification. ACM Trans. Knowl. Discov. Data 18(1): 4:1-4:36 (2024) - [j24]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) - [i28]Alejandro Moreo, Pablo González, Juan José del Coz:
Kernel Density Estimation for Multiclass Quantification. CoRR abs/2401.00490 (2024) - [i27]Silvia Corbara, Alejandro Moreo:
Forging the Forger: An Attempt to Improve Authorship Verification via Data Augmentation. CoRR abs/2403.11265 (2024) - [i26]Olaya Pérez-Mon, Alejandro Moreo, Juan José del Coz, Pablo González:
Quantification using Permutation-Invariant Networks based on Histograms. CoRR abs/2403.15123 (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 - [j23]Francesco Banterle, Alessandro Artusi, Alejandro Moreo, Fabio Carrara, Paolo Cignoni:
NoR-VDPNet++: Real-Time No-Reference Image Quality Metrics. IEEE Access 11: 34544-34553 (2023) - [j22]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) - [j21]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) - [j20]Mirko Bunse, Pablo González, Alejandro Moreo, Fabrizio Sebastiani:
Report on the 3rd International Workshop onLearning to Quantify (LQ 2023). SIGKDD Explor. 25(2): 25-28 (2023) - [j19]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) - [c29]Silvia Corbara, Alejandro Moreo:
Enhancing Adversarial Authorship Verification with Data Augmentation. IIR 2023: 73-78 - [i25]Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani:
Same or Different? Diff-Vectors for Authorship Analysis. CoRR abs/2301.09862 (2023) - [i24]Pablo González, Alejandro Moreo, Fabrizio Sebastiani:
Binary Quantification and Dataset Shift: An Experimental Investigation. CoRR abs/2310.04565 (2023) - [i23]Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz:
Regularization-Based Methods for Ordinal Quantification. CoRR abs/2310.09210 (2023) - [i22]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
- [j18]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) - [j17]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) - [j16]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) - [c28]Silvia Corbara, Berta Chulvi, Paolo Rosso, Alejandro Moreo:
Rhythmic and Psycholinguistic Features for Authorship Tasks in the Spanish Parliament: Evaluation and Analysis. CLEF 2022: 79-92 - [c27]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani, Gianluca Sperduti:
A Concise Overview of LeQua@CLEF 2022: Learning to Quantify. CLEF 2022: 362-381 - [c26]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani, Gianluca Sperduti:
A Detailed Overview of LeQua@CLEF 2022: Learning to Quantify. CLEF (Working Notes) 2022: 1849-1868 - [c25]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
LeQua@CLEF2022: Learning to Quantify. ECIR (2) 2022: 374-381 - [c24]Silvia Corbara, Berta Chulvi Ferriols, Paolo Rosso, Alejandro Moreo:
Investigating Topic-Agnostic Features for Authorship Tasks in Spanish Political Speeches. NLDB 2022: 394-402 - [c23]Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz:
Ordinal Quantification Through Regularization. ECML/PKDD (5) 2022: 36-52 - [d11]Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz:
Product Reviews for Ordinal Quantification. Zenodo, 2022 - [d10]Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz:
Cherenkov Telescope Data for Ordinal Quantification. Zenodo, 2022 - [i21]Alejandro Moreo, Manuel Francisco, Fabrizio Sebastiani:
Multi-Label Quantification. CoRR abs/2211.08063 (2022) - 2021
- [j15]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
Word-class embeddings for multiclass text classification. Data Min. Knowl. Discov. 35(3): 911-963 (2021) - [c22]Juan José del Coz, Pablo González, Alejandro Moreo, Fabrizio Sebastiani:
Learning to Quantify: Methods and Applications (LQ 2021). CIKM 2021: 4874-4875 - [c21]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
LeQua @ CLEF 2022: A Shared Task for Evaluating Quantification Systems. CIKM Workshops 2021 - [c20]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
QuaPy: A Python-Based Framework for Quantification. CIKM 2021: 4534-4543 - [c19]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
QuaPy: A Publicly Available Python-Based Software Library for Quantification. CIKM Workshops 2021 - [c18]Alejandro Moreo, Fabrizio Sebastiani:
Re-assessing the "Classify and Count" Quantification Method. ECIR (2) 2021: 75-91 - [c17]Andrea Pedrotti, Fabrizio Sebastiani, Alejandro Moreo:
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification. IIR 2021 - [c16]Gianluca Sperduti, Alejandro Moreo, Fabrizio Sebastiani:
Garbled-Word Embeddings for Jumbled Text. IIR 2021 - [c15]Alejandro Moreo, Andrea Pedrotti, Fabrizio Sebastiani:
Heterogeneous document embeddings for cross-lingual text classification. SAC 2021: 685-688 - [c14]Francesco Banterle, Alessandro Artusi, Alejandro Moreo, Fabio Carrara:
NoR-VDPNet++: Efficient Training and Architecture for Deep No-Reference Image Quality Metrics. SIGGRAPH Talks 2021: 11:1-11:2 - [d9]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Learning to quantify: LeQua 2022 datasets. Zenodo, 2021 - [d8]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Learning to quantify: LeQua 2022 datasets. Zenodo, 2021 - [d7]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Learning to quantify: LeQua 2022 datasets. Zenodo, 2021 - [d6]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
QuaPy. Zenodo, 2021 - [i20]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
QuaPy: A Python-Based Framework for Quantification. CoRR abs/2106.11057 (2021) - [i19]Alessandro Fabris, Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Measuring Fairness under Unawareness via Quantification. CoRR abs/2109.08549 (2021) - [i18]Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani:
Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attribution. CoRR abs/2110.14203 (2021) - [i17]Alejandro Moreo, Andrea Pedrotti, Fabrizio Sebastiani:
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification. CoRR abs/2110.14764 (2021) - [i16]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
LeQua@CLEF2022: Learning to Quantify. CoRR abs/2111.11249 (2021) - 2020
- [j14]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Cross-Lingual Sentiment Quantification. IEEE Intell. Syst. 35(3): 106-114 (2020) - [j13]Alessandro Artusi, Francesco Banterle, Fabio Carrara, Alejandro Moreo:
Efficient Evaluation of Image Quality via Deep-Learning Approximation of Perceptual Metrics. IEEE Trans. Image Process. 29: 1843-1855 (2020) - [j12]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
Learning to Weight for Text Classification. IEEE Trans. Knowl. Data Eng. 32(2): 302-316 (2020) - [c13]Francesco Banterle, Alessandro Artusi, Alejandro Moreo, Fabio Carrara:
Nor-Vdpnet: A No-Reference High Dynamic Range Quality Metric Trained On Hdr-Vdp 2. ICIP 2020: 126-130 - [d5]Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani, Mirko Tavoni:
MedieValla: an authorship verification tool written in Python for medieval Latin. Zenodo, 2020 - [d4]Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani, Mirko Tavoni:
Two Datasets for the Computational Authorship Analysis of Medieval Latin Texts. Zenodo, 2020 - [d3]Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani, Mirko Tavoni:
Two Datasets for the Computational Authorship Analysis of Medieval Latin Texts. Zenodo, 2020 - [d2]Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani, Mirko Tavoni:
MedieValla: an authorship verification tool written in Python for medieval Latin. Zenodo, 2020 - [d1]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Sentiment Quantification Datasets. Zenodo, 2020 - [i15]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) - [i14]Alejandro Moreo, Fabrizio Sebastiani:
Re-Assessing the "Classify and Count" Quantification Method. CoRR abs/2011.02552 (2020) - [i13]Alejandro Moreo, Fabrizio Sebastiani:
Tweet Sentiment Quantification: An Experimental Re-Evaluation. CoRR abs/2011.08091 (2020)
2010 – 2019
- 2019
- [j11]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) - [c12]Alejandro Moreo, Fabrizio Sebastiani:
Tutorial: Supervised Learning for Prevalence Estimation. FQAS 2019: 13-17 - [c11]Silvia Corbara, Alejandro Moreo, Fabrizio Sebastiani, Mirko Tavoni:
The Epistle to Cangrande Through the Lens of Computational Authorship Verification. ICIAP Workshops 2019: 148-158 - [c10]Alejandro Moreo, Fabrizio Sebastiani:
Learning to Quantify: Estimating Class Prevalence via Supervised Learning. SIGIR 2019: 1415-1416 - [i12]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) - [i11]Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Learning to Weight for Text Classification. CoRR abs/1903.12090 (2019) - [i10]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Building Automated Survey Coders via Interactive Machine Learning. CoRR abs/1903.12110 (2019) - [i9]Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Cross-Lingual Sentiment Quantification. CoRR abs/1904.07965 (2019) - [i8]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
Word-Class Embeddings for Multiclass Text Classification. CoRR abs/1911.11506 (2019) - 2018
- [j10]Fabio Carrara, Andrea Esuli, Tiziano Fagni, Fabrizio Falchi, Alejandro Moreo Fernández:
Picture it in your mind: generating high level visual representations from textual descriptions. Inf. Retr. J. 21(2-3): 208-229 (2018) - [c9]Andrea Esuli, Alejandro Moreo Fernández, Fabrizio Sebastiani:
A Recurrent Neural Network for Sentiment Quantification. CIKM 2018: 1775-1778 - [c8]Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Lightweight Random Indexing for Polylingual Text Classification (Extended Abstract). IJCAI 2018: 5642-5646 - [c7]Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification (Extended Abstract). IJCAI 2018: 5647-5651 - [i7]Andrea Esuli, Alejandro Moreo Fernández, Fabrizio Sebastiani:
A Recurrent Neural Network for Sentiment Quantification. CoRR abs/1809.00836 (2018) - [i6]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
Revisiting Distributional Correspondence Indexing: A Python Reimplementation and New Experiments. CoRR abs/1810.09311 (2018) - 2017
- [j9]Alejandro Moreo, J. L. Castro, Jose Manuel Zurita:
Towards portable natural language interfaces based on case-based reasoning. J. Intell. Inf. Syst. 49(2): 281-314 (2017) - [i5]Fabio Carrara, Andrea Esuli, Fabrizio Falchi, Alejandro Moreo Fernández:
Exploring epoch-dependent stochastic residual networks. CoRR abs/1704.06178 (2017) - [i4]Andrea Esuli, Tiziano Fagni, Alejandro Moreo Fernández:
JaTeCS an open-source JAva TExt Categorization System. CoRR abs/1706.06802 (2017) - [i3]Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Lightweight Random Indexing for Polylingual Text Classification. ERCIM News 2017(110) (2017) - [i2]Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification. ERCIM News 2017(111) (2017) - 2016
- [j8]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) - [j7]Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Lightweight Random Indexing for Polylingual Text Classification. J. Artif. Intell. Res. 57: 151-185 (2016) - [c6]Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Transductive Distributional Correspondence Indexing for Cross-Domain Topic Classification. IIR 2016 - [c5]Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
Distributional Random Oversampling for Imbalanced Text Classification. SIGIR 2016: 805-808 - [i1]Fabio Carrara, Andrea Esuli, Tiziano Fagni, Fabrizio Falchi, Alejandro Moreo Fernández:
Picture It In Your Mind: Generating High Level Visual Representations From Textual Descriptions. CoRR abs/1606.07287 (2016) - 2015
- [c4]Andrea Esuli, Alejandro Moreo Fernández:
Distributional Correspondence Indexing for Cross-Language Text Categorization. ECIR 2015: 104-109 - [c3]Salud M. Jiménez-Zafra, Giacomo Berardi, Andrea Esuli, Diego Marcheggiani, María Teresa Martín-Valdivia, Alejandro Moreo Fernández:
A Multi-lingual Annotated Dataset for Aspect-Oriented Opinion Mining. EMNLP 2015: 2533-2538 - 2013
- [j6]Manuel Romero, Alejandro Moreo, Juan Luis Castro:
A cloud of FAQ: A highly-precise FAQ retrieval system for the Web 2.0. Knowl. Based Syst. 49: 81-96 (2013) - [j5]Alejandro Moreo, Eduardo M. Eisman, J. L. Castro, Jose Manuel Zurita:
Learning regular expressions to template-based FAQ retrieval systems. Knowl. Based Syst. 53: 108-128 (2013) - [c2]Manuel Romero Cantal, Alejandro Moreo Fernández, Juan Luis Castro Peña:
Collaborative System for Learning Based on Questionnaires and Tasks. SOCO-CISIS-ICEUTE 2013: 631-640 - 2012
- [j4]Alejandro Moreo, Manuel Romero, J. L. Castro, Jose Manuel Zurita:
Lexicon-based Comments-oriented News Sentiment Analyzer system. Expert Syst. Appl. 39(10): 9166-9180 (2012) - [j3]Alejandro Moreo, Manuel Romero, J. L. Castro, Jose Manuel Zurita:
FAQtory: A framework to provide high-quality FAQ retrieval systems. Expert Syst. Appl. 39(14): 11525-11534 (2012) - [j2]Manuel Romero, Alejandro Moreo, Juan Luis Castro, Jose Manuel Zurita:
Using Wikipedia concepts and frequency in language to extract key terms from support documents. Expert Syst. Appl. 39(18): 13480-13491 (2012) - [j1]Alejandro Moreo, María Navarro, J. L. Castro, Jose Manuel Zurita:
A high-performance FAQ retrieval method using minimal differentiator expressions. Knowl. Based Syst. 36: 9-20 (2012) - [c1]Alejandro Moreo, Juan Luis Castro, Jose Manuel Zurita:
Handling Context in Lexicon-Based Sentiment Analysis. IPMU (2) 2012: 245-254
Coauthor Index
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last updated on 2024-10-24 20:29 CEST by the dblp team
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