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Ana Maguitman
PeerJ Editor, Author & Reviewer
3,300 Points

Contributions by role

Author 135
Reviewer 60
Editor 3,105

Contributions by subject area

Artificial Intelligence
Data Mining and Machine Learning
Data Science
Text Mining
Agents and Multi-Agent Systems
Computational Linguistics
Natural Language and Speech
Sentiment Analysis
Neural Networks
Spatial and Geographic Information Systems
Digital Libraries
Emerging Technologies
World Wide Web and Web Science
Human-Computer Interaction
Algorithms and Analysis of Algorithms
Theory and Formal Methods
Computer Education
Internet of Things
Network Science and Online Social Networks
Social Computing
Databases
Programming Languages
Software Engineering
Cryptography
Security and Privacy
Cryptocurrency
Blockchain

Ana G Maguitman

PeerJ Editor, Author & Reviewer

Summary

Ana Gabriela Maguitman is a Principal Researcher at the National Council for Science and Technology (CONICET) of Argentina and an Associate Professor at the Department of Computer Science and Engineering of the Universidad Nacional del Sur (Argentina). She obtained her PhD in Computer Science at Indiana University (USA). Dr. Maguitman leads the Knowledge Management and Information Retrieval Research Group at Universidad Nacional del Sur. Her main research areas include Natural Language Processing, Machine Learning, and Information Retrieval.

Artificial Intelligence Computational Linguistics Data Mining & Machine Learning Data Science Digital Libraries Natural Language & Speech Neural Networks Sentiment Analysis Social Computing Text Mining Theory & Formal Methods World Wide Web & Web Science

Editorial Board Member

PeerJ Computer Science

Past or current institution affiliations

Universidad Nacional del Sur

Work details

Professor

Universidad Nacional del Sur
Departamento de Ciencias e Ingeniería de la Computación

Researcher

CONICET

Websites

  • Google Scholar
  • Microsoft Academic Search

PeerJ Contributions

  • Articles 3
  • Edited 19
June 19, 2025
A methodological approach for inferring causal relationships from opinions and news-derived events with an application to climate change
Juan Marten, Fernando Delbianco, Fernando Tohme, Ana G. Maguitman
https://doi.org/10.7717/peerj-cs.2964
November 30, 2023
Multi-objective genetic programming strategies for topic-based search with a focus on diversity and global recall
Cecilia Baggio, Carlos M. Lorenzetti, Rocío L. Cecchini, Ana G. Maguitman
https://doi.org/10.7717/peerj-cs.1710
August 3, 2022
Causal graph extraction from news: a comparative study of time-series causality learning techniques
Mariano Maisonnave, Fernando Delbianco, Fernando Tohme, Evangelos Milios, Ana G. Maguitman
https://doi.org/10.7717/peerj-cs.1066

Academic Editor on

August 14, 2025
Data trace as the scientific foundation for trusted metrological data: a review for future metrology direction
Zhanshuo Cao, Boyong Gao, Zilong Liu, Xingchuang Xiong, Bin Wang, Chenbo Pei
https://doi.org/10.7717/peerj-cs.3106
May 8, 2025
Enhancing healthcare data privacy and interoperability with federated learning
Adil Akhmetov, Zohaib Latif, Benjamin Tyler, Adnan Yazici
https://doi.org/10.7717/peerj-cs.2870
December 3, 2024
LOGIC: LLM-originated guidance for internal cognitive improvement of small language models in stance detection
Woojin Lee, Jaewook Lee, Harksoo Kim
https://doi.org/10.7717/peerj-cs.2585
October 10, 2024
Closed-domain event extraction for hard news event monitoring: a systematic study
David Dukić, Filip Karlo Došilović, Domagoj Pluščec, Jan Šnajder
https://doi.org/10.7717/peerj-cs.2355
October 3, 2024
Constructing Chinese taxonomy trees from understanding and generative pretrained language models
Jianyu Guo, Jingnan Chen, Li Ren, Huanlai Zhou, Wenbo Xu, Haitao Jia
https://doi.org/10.7717/peerj-cs.2358
February 28, 2024
exKidneyBERT: a language model for kidney transplant pathology reports and the crucial role of extended vocabularies
Tiancheng Yang, Ilia Sucholutsky, Kuang-Yu Jen, Matthias Schonlau
https://doi.org/10.7717/peerj-cs.1888
January 26, 2024
A domain-specific language for managing ETL processes
Aleksandar Popović, Vladimir Ivković, Nikola Trajković, Ivan Luković
https://doi.org/10.7717/peerj-cs.1835
December 21, 2023
ELM-KL-LSTM: a robust and general incremental learning method for efficient classification of time series data
Qiao Zhou, Zhong-Yi Wang, Lan Huang
https://doi.org/10.7717/peerj-cs.1732
October 11, 2023
Extracting relations from texts using vector language models and a neural network classifier
Maksim Shishaev, Vladimir Dikovitsky, Vadim Pimeshkov, Nikita Kuprikov, Mikhail Kuprikov, Viacheslav Shkodyrev
https://doi.org/10.7717/peerj-cs.1636
August 30, 2023
A novel approach for explicit song lyrics detection using machine and deep ensemble learning models
Xiaoyuan Chen, Turki Aljrees, Muhammad Umer, Hanen Karamti, Saba Tahir, Nihal Abuzinadah, Khaled Alnowaiser, Ala’ Abdulmajid Eshmawi, Abdullah Mohamed, Imran Ashraf
https://doi.org/10.7717/peerj-cs.1469
July 24, 2023
On solving textual ambiguities and semantic vagueness in MRC based question answering using generative pre-trained transformers
Muzamil Ahmed, Hikmat Khan, Tassawar Iqbal, Fawaz Khaled Alarfaj, Abdullah Alomair, Naif Almusallam
https://doi.org/10.7717/peerj-cs.1422
July 12, 2023
Personalized movie recommendations based on deep representation learning
Luyao Li, Hong Huang, Qianqian Li, Junfeng Man
https://doi.org/10.7717/peerj-cs.1448
May 19, 2023
Graph neural networks for preference social recommendation
Gang-Feng Ma, Xu-Hua Yang, Yue Tong, Yanbo Zhou
https://doi.org/10.7717/peerj-cs.1393
December 16, 2022
STTM: an efficient approach to estimating news impact on stock movement direction
Aleksei Riabykh, Denis Surzhko, Maxim Konovalikhin, Sergei Koltcov
https://doi.org/10.7717/peerj-cs.1156
December 5, 2022
Multi-label multi-class COVID-19 Arabic Twitter dataset with fine-grained misinformation and situational information annotations
Rasha Obeidat, Maram Gharaibeh, Malak Abdullah, Yara Alharahsheh
https://doi.org/10.7717/peerj-cs.1151
November 2, 2022
Relational graph convolutional networks: a closer look
Thiviyan Thanapalasingam, Lucas van Berkel, Peter Bloem, Paul Groth
https://doi.org/10.7717/peerj-cs.1073
October 25, 2022
Aggregating pairwise semantic differences for few-shot claim verification
Xia Zeng, Arkaitz Zubiaga
https://doi.org/10.7717/peerj-cs.1137
February 19, 2018
Investigating the correspondence between driver head position and glance location
Joonbum Lee, Mauricio Muñoz, Lex Fridman, Trent Victor, Bryan Reimer, Bruce Mehler
https://doi.org/10.7717/peerj-cs.146
January 30, 2017
Challenges as enablers for high quality Linked Data: insights from the Semantic Publishing Challenge
Anastasia Dimou, Sahar Vahdati, Angelo Di Iorio, Christoph Lange, Ruben Verborgh, Erik Mannens
https://doi.org/10.7717/peerj-cs.105