Handling Context in Lexicon-Based Sentiment Analysis. - Alejandro Moreo; Juan Luis Castro; Jose Manuel Zurita (IPMU (2), 2012)

Lexicon-based Comments-oriented News Sentiment Analyzer system. - Alejandro Moreo; Manuel Romero; J. L. Castro; Jose Manuel Zurita (Expert Syst. Appl., 2012)

FAQtory: A framework to provide high-quality FAQ retrieval systems. - Alejandro Moreo; Manuel Romero; J. L. Castro; Jose Manuel Zurita (Expert Syst. Appl., 2012)

Using Wikipedia concepts and frequency in language to extract key terms from support documents. - Manuel Romero; Alejandro Moreo; Juan Luis Castro; Jose Manuel Zurita (Expert Syst. Appl., 2012)

A high-performance FAQ retrieval method using minimal differentiator expressions. - Alejandro Moreo; María Navarro 002; J. L. Castro; Jose Manuel Zurita (Knowl. Based Syst., 2012)

Collaborative System for Learning Based on Questionnaires and Tasks. - Manuel Romero Cantal; Alejandro Moreo Fernández; Juan Luis Castro Peña (SOCO-CISIS-ICEUTE, 2013)

Learning regular expressions to template-based FAQ retrieval systems. - Alejandro Moreo; Eduardo M. Eisman; J. L. Castro; Jose Manuel Zurita (Knowl. Based Syst., 2013)

A cloud of FAQ: A highly-precise FAQ retrieval system for the Web 2.0. - Manuel Romero; Alejandro Moreo; Juan Luis Castro (Knowl. Based Syst., 2013)

Distributional Correspondence Indexing for Cross-Language Text Categorization. - Andrea Esuli; Alejandro Moreo Fernández (ECIR, 2015)

A Multi-lingual Annotated Dataset for Aspect-Oriented Opinion Mining. - Salud M. Jiménez-Zafra; Giacomo Berardi; Andrea Esuli; Diego Marcheggiani; María Teresa Martín-Valdivia; Alejandro Moreo Fernández (EMNLP, 2015)

Transductive Distributional Correspondence Indexing for Cross-Domain Topic Classification. - Alejandro Moreo Fernández; Andrea Esuli; Fabrizio Sebastiani 001 (IIR, 2016)

Distributional Random Oversampling for Imbalanced Text Classification. - Alejandro Moreo; Andrea Esuli; Fabrizio Sebastiani 001 (SIGIR, 2016)

Exploring epoch-dependent stochastic residual networks. - Fabio Carrara; Andrea Esuli; Fabrizio Falchi; Alejandro Moreo Fernández (CoRR, 2017)

JaTeCS an open-source JAva TExt Categorization System. - Andrea Esuli; Tiziano Fagni; Alejandro Moreo Fernández (CoRR, 2017)

Lightweight Random Indexing for Polylingual Text Classification. - Alejandro Moreo Fernández; Andrea Esuli; Fabrizio Sebastiani 001 (ERCIM News, 2017)

Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification. - Alejandro Moreo Fernández; Andrea Esuli; Fabrizio Sebastiani 001 (ERCIM News, 2017)

Towards portable natural language interfaces based on case-based reasoning. - Alejandro Moreo; J. L. Castro; Jose Manuel Zurita (J. Intell. Inf. Syst., 2017)

A Recurrent Neural Network for Sentiment Quantification. - Andrea Esuli; Alejandro Moreo Fernández; Fabrizio Sebastiani 001 (CIKM, 2018)

Lightweight Random Indexing for Polylingual Text Classification (Extended Abstract). - Alejandro Moreo Fernández; Andrea Esuli; Fabrizio Sebastiani 001 (IJCAI, 2018)

Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification (Extended Abstract). - Alejandro Moreo Fernández; Andrea Esuli; Fabrizio Sebastiani 001 (IJCAI, 2018)

Revisiting Distributional Correspondence Indexing: A Python Reimplementation and New Experiments. - Alejandro Moreo; Andrea Esuli; Fabrizio Sebastiani 001 (CoRR, 2018)

Picture it in your mind: generating high level visual representations from textual descriptions. - Fabio Carrara; Andrea Esuli; Tiziano Fagni; Fabrizio Falchi; Alejandro Moreo Fernández (Inf. Retr. J., 2018)

Tutorial: Supervised Learning for Prevalence Estimation. - Alejandro Moreo; Fabrizio Sebastiani 001 (FQAS, 2019)

The Epistle to Cangrande Through the Lens of Computational Authorship Verification. - Silvia Corbara; Alejandro Moreo; Fabrizio Sebastiani 001; Mirko Tavoni (ICIAP Workshops, 2019)

Learning to Quantify: Estimating Class Prevalence via Supervised Learning. - Alejandro Moreo; Fabrizio Sebastiani 001 (SIGIR, 2019)

Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and its Application to Polylingual Text Classification. - Andrea Esuli; Alejandro Moreo; Fabrizio Sebastiani 001 (CoRR, 2019)

Building Automated Survey Coders via Interactive Machine Learning. - Andrea Esuli; Alejandro Moreo; Fabrizio Sebastiani 001 (CoRR, 2019)

Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and Its Application to Cross-Lingual Text Classification. - Andrea Esuli; Alejandro Moreo; Fabrizio Sebastiani 001 (ACM Trans. Inf. Syst., 2019)

Nor-Vdpnet: A No-Reference High Dynamic Range Quality Metric Trained On Hdr-Vdp 2. - Francesco Banterle; Alessandro Artusi; Alejandro Moreo; Fabio Carrara (ICIP, 2020)

MedLatin1 and MedLatin2: Two Datasets for the Computational Authorship Analysis of Medieval Latin Texts. - Silvia Corbara; Alejandro Moreo; Fabrizio Sebastiani 001; Mirko Tavoni (CoRR, 2020)

Tweet Sentiment Quantification: An Experimental Re-Evaluation. - Alejandro Moreo; Fabrizio Sebastiani 001 (CoRR, 2020)

Cross-Lingual Sentiment Quantification. - Andrea Esuli; Alejandro Moreo; Fabrizio Sebastiani 001 (IEEE Intell. Syst., 2020)

Efficient Evaluation of Image Quality via Deep-Learning Approximation of Perceptual Metrics. - Alessandro Artusi; Francesco Banterle; Fabio Carrara; Alejandro Moreo (IEEE Trans. Image Process., 2020)

Learning to Weight for Text Classification. - Alejandro Moreo; Andrea Esuli; Fabrizio Sebastiani 001 (IEEE Trans. Knowl. Data Eng., 2020)

MedieValla: an authorship verification tool written in Python for medieval Latin. - Silvia Corbara; Alejandro Moreo; Fabrizio Sebastiani 001; Mirko Tavoni (Zenodo, 2020)

Two Datasets for the Computational Authorship Analysis of Medieval Latin Texts. - Silvia Corbara; Alejandro Moreo; Fabrizio Sebastiani 001; Mirko Tavoni (Zenodo, 2020)

Two Datasets for the Computational Authorship Analysis of Medieval Latin Texts. - Silvia Corbara; Alejandro Moreo; Fabrizio Sebastiani 001; Mirko Tavoni (Zenodo, 2020)

MedieValla: an authorship verification tool written in Python for medieval Latin. - Silvia Corbara; Alejandro Moreo; Fabrizio Sebastiani 001; Mirko Tavoni (Zenodo, 2020)

Sentiment Quantification Datasets. - Andrea Esuli; Alejandro Moreo; Fabrizio Sebastiani 001 (Zenodo, 2020)

Learning to Quantify: Methods and Applications (LQ 2021). - Juan José del Coz; Pablo González; Alejandro Moreo; Fabrizio Sebastiani 001 (CIKM, 2021)

LeQua @ CLEF 2022: A Shared Task for Evaluating Quantification Systems. - Andrea Esuli; Alejandro Moreo; Fabrizio Sebastiani 001 (CIKM Workshops, 2021)

QuaPy: A Python-Based Framework for Quantification. - Alejandro Moreo; Andrea Esuli; Fabrizio Sebastiani 001 (CIKM, 2021)

QuaPy: A Publicly Available Python-Based Software Library for Quantification. - Alejandro Moreo; Andrea Esuli; Fabrizio Sebastiani 001 (CIKM Workshops, 2021)

Re-assessing the "Classify and Count" Quantification Method. - Alejandro Moreo; Fabrizio Sebastiani 001 (ECIR (2), 2021)

Garbled-Word Embeddings for Jumbled Text. - Gianluca Sperduti; Alejandro Moreo; Fabrizio Sebastiani 001 (IIR, 2021)

Heterogeneous document embeddings for cross-lingual text classification. - Alejandro Moreo; Andrea Pedrotti; Fabrizio Sebastiani 001 (SAC, 2021)

NoR-VDPNet++: Efficient Training and Architecture for Deep No-Reference Image Quality Metrics. - Francesco Banterle; Alessandro Artusi; Alejandro Moreo; Fabio Carrara (SIGGRAPH Talks, 2021)

Measuring Fairness under Unawareness via Quantification. - Alessandro Fabris; Andrea Esuli; Alejandro Moreo; Fabrizio Sebastiani 001 (CoRR, 2021)

Word-class embeddings for multiclass text classification. - Alejandro Moreo; Andrea Esuli; Fabrizio Sebastiani 001 (Data Min. Knowl. Discov., 2021)

QuaPy. - Alejandro Moreo; Andrea Esuli; Fabrizio Sebastiani 001 (Zenodo, 2021)

Learning to quantify: LeQua 2022 datasets. - Andrea Esuli; Alejandro Moreo; Fabrizio Sebastiani 001 (Zenodo, 2021)

Learning to quantify: LeQua 2022 datasets. - Andrea Esuli; Alejandro Moreo; Fabrizio Sebastiani 001 (Zenodo, 2021)

Learning to quantify: LeQua 2022 datasets. - Andrea Esuli; Alejandro Moreo; Fabrizio Sebastiani 001 (Zenodo, 2021)

Rhythmic and Psycholinguistic Features for Authorship Tasks in the Spanish Parliament: Evaluation and Analysis. - Silvia Corbara; Berta Chulvi; Paolo Rosso; Alejandro Moreo (CLEF, 2022)

A Detailed Overview of LeQua@CLEF 2022: Learning to Quantify. - Andrea Esuli; Alejandro Moreo; Fabrizio Sebastiani 001; Gianluca Sperduti (CLEF (Working Notes), 2022)

A Concise Overview of LeQua@CLEF 2022: Learning to Quantify. - Andrea Esuli; Alejandro Moreo; Fabrizio Sebastiani 001; Gianluca Sperduti (CLEF, 2022)

LeQua@CLEF2022: Learning to Quantify. - Andrea Esuli; Alejandro Moreo; Fabrizio Sebastiani 001 (ECIR (2), 2022)

Investigating Topic-Agnostic Features for Authorship Tasks in Spanish Political Speeches. - Silvia Corbara; Berta Chulvi Ferriols; Paolo Rosso; Alejandro Moreo (NLDB, 2022)

Ordinal Quantification Through Regularization. - Mirko Bunse; Alejandro Moreo; Fabrizio Sebastiani 001; Martin Senz (ECML/PKDD (5), 2022)

MedLatinEpi and MedLatinLit: Two Datasets for the Computational Authorship Analysis of Medieval Latin Texts. - Silvia Corbara; Alejandro Moreo; Fabrizio Sebastiani 001; Mirko Tavoni (ACM Journal on Computing and Cultural Heritage, 2022)

Report on the 1st International Workshop on Learning to Quantify (LQ 2021). - Juan José del Coz; Pablo González; Alejandro Moreo; Fabrizio Sebastiani 001 (SIGKDD Explor., 2022)

Lost in Transduction: Transductive Transfer Learning in Text Classification. - Alejandro Moreo; Andrea Esuli; Fabrizio Sebastiani 001 (ACM Trans. Knowl. Discov. Data, 2022)

Product Reviews for Ordinal Quantification. - Mirko Bunse; Alejandro Moreo; Fabrizio Sebastiani 001; Martin Senz (Zenodo, 2022)

Cherenkov Telescope Data for Ordinal Quantification. - Mirko Bunse; Alejandro Moreo; Fabrizio Sebastiani 001; Martin Senz (Zenodo, 2022)

Enhancing Adversarial Authorship Verification with Data Augmentation. - Silvia Corbara; Alejandro Moreo (IIR, 2023)

NoR-VDPNet++: Real-Time No-Reference Image Quality Metrics. - Francesco Banterle; Alessandro Artusi; Alejandro Moreo; Fabio Carrara; Paolo Cignoni (IEEE Access, 2023)

Explainable Authorship Identification in Cultural Heritage Applications: Analysis of a New Perspective. - Mattia Setzu; Silvia Corbara; Anna Monreale; Alejandro Moreo; Fabrizio Sebastiani 001 (CoRR, 2023)

Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach. - Alessandro Fabris; Andrea Esuli; Alejandro Moreo; Fabrizio Sebastiani 001 (J. Artif. Intell. Res., 2023)

Learning to Quantify - Andrea Esuli; Alessandro Fabris; Alejandro Moreo; Fabrizio Sebastiani 001 (Springer, 2023)

Syllabic quantity patterns as rhythmic features for Latin authorship attribution. - Silvia Corbara; Alejandro Moreo; Fabrizio Sebastiani 001 (J. Assoc. Inf. Sci. Technol., 2023)

Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification. - Alejandro Moreo; Andrea Pedrotti; Fabrizio Sebastiani 001 (ACM Trans. Inf. Syst., 2023)

Cherenkov Telescope Data for Ordinal Quantification. - Mirko Bunse; Alejandro Moreo; Fabrizio Sebastiani 001; Martin Senz (Zenodo, 2023)

Product Reviews for Ordinal Quantification. - Mirko Bunse; Alejandro Moreo; Fabrizio Sebastiani 001; Martin Senz (Zenodo, 2023)

UCI and OpenML Data Sets for Ordinal Quantification. - Mirko Bunse; Alejandro Moreo; Fabrizio Sebastiani 001; Martin Senz (Zenodo, 2023)

Product Reviews for Ordinal Quantification. - Mirko Bunse; Alejandro Moreo; Fabrizio Sebastiani 001; Martin Senz (Zenodo, 2023)

Report on the 3rd International Workshop onLearning to Quantify (LQ 2023). - Mirko Bunse; Pablo González; Alejandro Moreo; Fabrizio Sebastiani 001 (SIGKDD Explor., 2023)

Multimodal Heterogeneous Transfer Learning for Multilingual Image-Text Classification. - Andrea Pedrotti; Alejandro Moreo; Fabrizio Sebastiani 001 (DS (LB), 2024)

A Simple Method for Classifier Accuracy Prediction Under Prior Probability Shift. - Lorenzo Volpi; Alejandro Moreo; Fabrizio Sebastiani 001 (DS (2), 2024)

Forging the Forger: An Attempt to Improve Authorship Verification via Data Augmentation. - Silvia Corbara; Alejandro Moreo (IEEE Access, 2024)

Same or Different? Diff-Vectors for Authorship Analysis. - Silvia Corbara; Alejandro Moreo; Fabrizio Sebastiani 001 (ACM Trans. Knowl. Discov. Data, 2024)

Multi-Label Quantification. - Alejandro Moreo; Manuel Francisco; Fabrizio Sebastiani 001 (ACM Trans. Knowl. Discov. Data, 2024)

Learning to quantify: LeQua 2024 datasets. - Andrea Esuli; Alejandro Moreo Fernández; Fabrizio Sebastiani 001 (Zenodo, 2024)

Learning to quantify: LeQua 2024 datasets. - Andrea Esuli; Alejandro Moreo Fernández; Fabrizio Sebastiani 001 (Zenodo, 2024)

Learning to quantify: LeQua 2024 datasets. - Andrea Esuli; Alejandro Moreo Fernández; Fabrizio Sebastiani 001 (Zenodo, 2024)

Binary quantification and dataset shift: an experimental investigation. - Pablo González; Alejandro Moreo; Fabrizio Sebastiani 001 (Data Min. Knowl. Discov., 2024)

Explainable Authorship Identification in Cultural Heritage Applications. - Mattia Setzu; Silvia Corbara; Anna Monreale; Alejandro Moreo; Fabrizio Sebastiani 001 (ACM Journal on Computing and Cultural Heritage, 2024)

Regularization-based methods for ordinal quantification. - Mirko Bunse; Alejandro Moreo; Fabrizio Sebastiani 001; Martin Senz (Data Min. Knowl. Discov., 2024)

The Questio de aqua et terra: A Computational Authorship Verification Study. - Martina Leocata; Alejandro Moreo; Fabrizio Sebastiani 001 (CoRR, 2025)

Misspellings in Natural Language Processing: A survey. - Gianluca Sperduti; Alejandro Moreo (CoRR, 2025)

Quantification using permutation-invariant networks based on histograms. - Olaya Pérez-Mon; Alejandro Moreo; Juan José del Coz; Pablo González (Neural Comput. Appl., 2025)

Learning to quantify graph nodes. - Alessio Micheli; Alejandro Moreo; Marco Podda; Fabrizio Sebastiani 001; William Simoni; Domenico Tortorella (CoRR, 2025)

A Noise-Oriented and Redundancy-Aware Instance Selection Framework. - Washington Cunha; Alejandro Moreo Fernández; Andrea Esuli; Fabrizio Sebastiani 001; Leonardo Rocha 001; Marcos André Gonçalves (ACM Trans. Inf. Syst., 2025)

Kernel density estimation for multiclass quantification. - Alejandro Moreo; Pablo González; Juan José del Coz (Mach. Learn., 2025)

On the Interconnections of Calibration, Quantification, and Classifier Accuracy Prediction under Dataset Shift. - Alejandro Moreo (CoRR, 2025)

Quantifying Query Fairness Under Unawareness. - Thomas Jänich; Alejandro Moreo; Alessandro Fabris; Graham McDonald; Andrea Esuli; Iadh Ounis; Fabrizio Sebastiani 001 (CoRR, 2025)

Transductive Model Selection under Prior Probability Shift. - Lorenzo Volpi; Alejandro Moreo; Fabrizio Sebastiani 001 (CoRR, 2025)