Alejandro Moreo

Orcid: 0000-0002-0377-1025

According to our database1, Alejandro Moreo authored at least 83 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Regularization-based methods for ordinal quantification.
Data Min. Knowl. Discov., November, 2024

Explainable Authorship Identification in Cultural Heritage Applications.
ACM Journal on Computing and Cultural Heritage, September, 2024

Binary quantification and dataset shift: an experimental investigation.
Data Min. Knowl. Discov., July, 2024

Multi-Label Quantification.
ACM Trans. Knowl. Discov. Data, January, 2024

Same or Different? Diff-Vectors for Authorship Analysis.
ACM Trans. Knowl. Discov. Data, January, 2024

Quantification using Permutation-Invariant Networks based on Histograms.
CoRR, 2024

Forging the Forger: An Attempt to Improve Authorship Verification via Data Augmentation.
CoRR, 2024

Kernel Density Estimation for Multiclass Quantification.
CoRR, 2024

2023
Report on the 3rd International Workshop onLearning to Quantify (LQ 2023).
SIGKDD Explor., December, 2023

UCI and OpenML Data Sets for Ordinal Quantification.
Dataset, July, 2023

Product Reviews for Ordinal Quantification.
Dataset, July, 2023

Cherenkov Telescope Data for Ordinal Quantification.
Dataset, July, 2023

Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification.
ACM Trans. Inf. Syst., April, 2023

Syllabic quantity patterns as rhythmic features for Latin authorship attribution.
J. Assoc. Inf. Sci. Technol., January, 2023

Learning to Quantify
The Information Retrieval Series 47, Springer, ISBN: 978-3-031-20466-1, 2023

Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach.
J. Artif. Intell. Res., 2023

Explainable Authorship Identification in Cultural Heritage Applications: Analysis of a New Perspective.
CoRR, 2023

NoR-VDPNet++: Real-Time No-Reference Image Quality Metrics.
IEEE Access, 2023

Enhancing Adversarial Authorship Verification with Data Augmentation.
Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023

2022
Cherenkov Telescope Data for Ordinal Quantification.
Dataset, September, 2022

Product Reviews for Ordinal Quantification.
Dataset, September, 2022

Lost in Transduction: Transductive Transfer Learning in Text Classification.
ACM Trans. Knowl. Discov. Data, 2022

Report on the 1st International Workshop on Learning to Quantify (LQ 2021).
SIGKDD Explor., 2022

MedLatinEpi and MedLatinLit: Two Datasets for the Computational Authorship Analysis of Medieval Latin Texts.
ACM Journal on Computing and Cultural Heritage, 2022

Ordinal Quantification Through Regularization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Investigating Topic-Agnostic Features for Authorship Tasks in Spanish Political Speeches.
Proceedings of the Natural Language Processing and Information Systems, 2022

LeQua@CLEF2022: Learning to Quantify.
Proceedings of the Advances in Information Retrieval, 2022

A Concise Overview of LeQua@CLEF 2022: Learning to Quantify.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

A Detailed Overview of LeQua@CLEF 2022: Learning to Quantify.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Rhythmic and Psycholinguistic Features for Authorship Tasks in the Spanish Parliament: Evaluation and Analysis.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

2021
Learning to quantify: LeQua 2022 datasets.
Dataset, December, 2021

Learning to quantify: LeQua 2022 datasets.
Dataset, December, 2021

Learning to quantify: LeQua 2022 datasets.
Dataset, December, 2021


Word-class embeddings for multiclass text classification.
Data Min. Knowl. Discov., 2021

Measuring Fairness under Unawareness via Quantification.
CoRR, 2021

NoR-VDPNet++: Efficient Training and Architecture for Deep No-Reference Image Quality Metrics.
Proceedings of the SIGGRAPH 2021: Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2021

Heterogeneous document embeddings for cross-lingual text classification.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Garbled-Word Embeddings for Jumbled Text.
Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

Re-assessing the "Classify and Count" Quantification Method.
Proceedings of the Advances in Information Retrieval, 2021

QuaPy: A Publicly Available Python-Based Software Library for Quantification.
Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021

QuaPy: A Python-Based Framework for Quantification.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

LeQua @ CLEF 2022: A Shared Task for Evaluating Quantification Systems.
Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021

Learning to Quantify: Methods and Applications (LQ 2021).
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Sentiment Quantification Datasets.
Dataset, October, 2020

MedieValla: an authorship verification tool written in Python for medieval Latin.
Dataset, June, 2020

Two Datasets for the Computational Authorship Analysis of Medieval Latin Texts.
Dataset, June, 2020

Two Datasets for the Computational Authorship Analysis of Medieval Latin Texts.
Dataset, June, 2020

MedieValla: an authorship verification tool written in Python for medieval Latin.
Dataset, June, 2020

Learning to Weight for Text Classification.
IEEE Trans. Knowl. Data Eng., 2020

Efficient Evaluation of Image Quality via Deep-Learning Approximation of Perceptual Metrics.
IEEE Trans. Image Process., 2020

Cross-Lingual Sentiment Quantification.
IEEE Intell. Syst., 2020

Tweet Sentiment Quantification: An Experimental Re-Evaluation.
CoRR, 2020

MedLatin1 and MedLatin2: Two Datasets for the Computational Authorship Analysis of Medieval Latin Texts.
CoRR, 2020

Nor-Vdpnet: A No-Reference High Dynamic Range Quality Metric Trained On Hdr-Vdp 2.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and Its Application to Cross-Lingual Text Classification.
ACM Trans. Inf. Syst., 2019

Building Automated Survey Coders via Interactive Machine Learning.
CoRR, 2019

Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and its Application to Polylingual Text Classification.
CoRR, 2019

Learning to Quantify: Estimating Class Prevalence via Supervised Learning.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

The Epistle to Cangrande Through the Lens of Computational Authorship Verification.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2019, 2019

Tutorial: Supervised Learning for Prevalence Estimation.
Proceedings of the Flexible Query Answering Systems - 13th International Conference, 2019

2018
Picture it in your mind: generating high level visual representations from textual descriptions.
Inf. Retr. J., 2018

Revisiting Distributional Correspondence Indexing: A Python Reimplementation and New Experiments.
CoRR, 2018

Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification (Extended Abstract).
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Lightweight Random Indexing for Polylingual Text Classification (Extended Abstract).
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Recurrent Neural Network for Sentiment Quantification.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Towards portable natural language interfaces based on case-based reasoning.
J. Intell. Inf. Syst., 2017

Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification.
ERCIM News, 2017

Lightweight Random Indexing for Polylingual Text Classification.
ERCIM News, 2017

JaTeCS an open-source JAva TExt Categorization System.
CoRR, 2017

Exploring epoch-dependent stochastic residual networks.
CoRR, 2017

2016
Distributional Random Oversampling for Imbalanced Text Classification.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Transductive Distributional Correspondence Indexing for Cross-Domain Topic Classification.
Proceedings of the 7th Italian Information Retrieval Workshop, 2016

2015
A Multi-lingual Annotated Dataset for Aspect-Oriented Opinion Mining.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Distributional Correspondence Indexing for Cross-Language Text Categorization.
Proceedings of the Advances in Information Retrieval, 2015

2013
A cloud of FAQ: A highly-precise FAQ retrieval system for the Web 2.0.
Knowl. Based Syst., 2013

Learning regular expressions to template-based FAQ retrieval systems.
Knowl. Based Syst., 2013

Collaborative System for Learning Based on Questionnaires and Tasks.
Proceedings of the International Joint Conference SOCO'13-CISIS'13-ICEUTE'13, 2013

2012
A high-performance FAQ retrieval method using minimal differentiator expressions.
Knowl. Based Syst., 2012

Using Wikipedia concepts and frequency in language to extract key terms from support documents.
Expert Syst. Appl., 2012

FAQtory: A framework to provide high-quality FAQ retrieval systems.
Expert Syst. Appl., 2012

Lexicon-based Comments-oriented News Sentiment Analyzer system.
Expert Syst. Appl., 2012

Handling Context in Lexicon-Based Sentiment Analysis.
Proceedings of the Advances on Computational Intelligence, 2012


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