Marcos P. S. Gôlo
Orcid: 0000-0002-9093-8195Affiliations:
- University of São Paulo, São Carlos, SP, Brazil
According to our database1,
Marcos P. S. Gôlo authored at least 16 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
How do financial time series enhance the detection of news significance in market movements? A study using graph neural networks with heterogeneous representations.
Neural Comput. Appl., January, 2025
One-class graph autoencoder: A new end-to-end, low-dimensional, and interpretable approach for node classification.
Inf. Sci., 2025
Large Language Models Ensemble for Biochemical Properties Detection in Scientific Articles.
Proceedings of the Joint Proceedings of the Fourth International Workshop on LLM-Integrated Knowledge Graph Generation From Text (TEXT2KG) and the Second International BiKE Challenge co-located with the Extended Semantic Web Conference (ESWC 2025), 2025
Efficient Filtering with BERT Embeddings for Researcher-Topic Affinity Prediction in HPC Pipelines.
Proceedings of the 37th IEEE/SBC International Symposium on Computer Architecture and High Performance Computing, 2025
Proceedings of the 37th IEEE/SBC International Symposium on Computer Architecture and High Performance Computing, 2025
One-Class Lightweight Interpretable Filtering For Academic Profiles and Strategic Themes Affinity.
Proceedings of the 37th IEEE/SBC International Symposium on Computer Architecture and High Performance Computing, 2025
Improving Natural Product Knowledge Extraction from Academic Literature with Enhanced PDF Text Extraction and Large Language Models.
Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025
2024
Unsupervised Heterogeneous Graph Neural Networks for One-Class Tasks: Exploring Early Fusion Operators.
J. Interact. Syst., 2024
Inf. Sci., 2024
Proceedings of the Intelligent Systems - 34th Brazilian Conference, 2024
2023
One-class learning for fake news detection through multimodal variational autoencoders.
Eng. Appl. Artif. Intell., 2023
On the Use of Early Fusion Operators on Heterogeneous Graph Neural Networks for One-Class Learning.
Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023
2022
Detecting relevant app reviews for software evolution and maintenance through multimodal one-class learning.
Inf. Softw. Technol., 2022
Opinion mining for app reviews: an analysis of textual representation and predictive models.
Autom. Softw. Eng., 2022
2021
Learning Textual Representations from Multiple Modalities to Detect Fake News Through One-Class Learning.
Proceedings of the WebMedia '21: Brazilian Symposium on Multimedia and the Web, 2021