Axel J. Soto

Universidad Tecnológica del Perú — PE

Computer Science · Physical Sciences

14h-index470citations64works0.32yr avg
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Research Topics

Computational Drug Discovery Methods(17), Topic Modeling(12), Natural Language Processing Techniques(9), Machine Learning in Materials Science(8), Biomedical Text Mining and Ontologies(7)

Publications64 total

Multi-step Forecasting of Cryptocurrency Fluctuations Using Recurrent Neural Networks
Lecture notes in networks and systems·2025
Optimizing Stock Market Predictions Using Machine Learning Algorithms
Lecture notes in networks and systems·2025
Assessing Disease Comorbidity in Hospital Patients through Machine Learning and Network Analysis Techniques
Intelligent systems reference library·2025
Can Pharmacovigilance Be Performed on Social Media? Mining Adverse Vaccine Reactions From Twitter
2024· 1 cited
QuOTeS: Query-Oriented Technical Summarization
arXiv (Cornell University)·2023Open Access
Assessing causality among topics and sentiments: The case of the G20 discussion on Twitter
Journal of Information Science·2023· 4 cited
Design of New Dispersants Using Machine Learning and Visual Analytics
Polymers·2023· 4 citedOpen Access
Contributors
Elsevier eBooks·2023
Deep learning for novel drug development
Elsevier eBooks·2023Open Access
Topic Modelling and Frame Identification for Political Arguments
Lecture notes in computer science·2023· 2 cited
QuOTeS: Query-Oriented Technical Summarization
Lecture notes in computer science·2023· 2 cited
Multitask Deep Neural Networks for Ames Mutagenicity Prediction
Journal of Chemical Information and Modeling·2022· 22 cited
Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models
Proceedings of the AAAI Conference on Artificial Intelligence·2022· 14 citedOpen Access
Multi-Task Deep Neural Networks for Ames Mutagenicity Prediction
2022Open Access
A term-based and citation network-based search system for COVID-19
JAMIA Open·2021· 3 citedOpen Access
Post-OCR Document Correction with large Ensembles of Character Sequence Models.
arXiv (Cornell University)·2021Open Access
Post-OCR Document Correction with large Ensembles of Character Sequence-to-Sequence Models
arXiv (Cornell University)·2021· 1 citedOpen Access
Using molecular embeddings in QSAR modeling: does it make a difference?
Briefings in Bioinformatics·2021· 1 citedOpen Access
When classification accuracy is not enough: Explaining news credibility assessment
Information Processing & Management·2021· 33 citedOpen Access
Fourth Workshop on Exploratory Search and Interactive Data Analytics (ESIDA)
2021
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Frequent Co-authors

Evangelos Milios(22), Ignacio Ponzoni(15), Gustavo E. Vázquez(11), Sophia Ananiadou(7), María Jimena Martínez(6), María Virginia Sabando(4), Marc Strickert(4), Riza Batista-Navarro(4), Raheleh Makki(4), Stephen Brooks(4), Ana Gabriela Maguitman(4), Aminul Islam(4), Piotr Przybyła(3), Rocío L. Cecchini(3), Nuria E. Campillo(3), Nhung T. H. Nguyen(3), Ryan Kiros(3), Vlado Kešelj(3), Eduardo Xamena(3), Mónica F. Díaz(2)