Eduardo N. Borges
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
8
Active years
2017–2026
Best venue rank
C
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICCSA | Enhancing Model Generalization in Index Futures Markets via Evolutionary Optimization and Data Leakage-Free Feature Engineering. | Otvio Zucchetti Dalla Costa, Bruno Lopes Dalmazo, Viviane Leite Dias de Mattos, Richard F. Pinto, Diego Renan Bruno, Eduardo N. Borges, Giancarlo Lucca, Fabian Corra Cardoso, Rafael A. Berri |
| 2026 | ICCSA | Adversarial Detection in EEG-Based BCIs: A Comparative Study of Classical and Neuro-Fuzzy Approaches. | Beatriz Conceio da Costa, Giancarlo Lucca, Lizandro de Souza Oliveira, Rafael A. Berri, Roger Immich, Eduardo N. Borges, Richard F. Pinto, Fabian Corra Cardoso, Bruno Lopes Dalmazo |
| 2026 | ICCSA | LEAP: A Leakage-Free Evolutionary Alpha Pipeline for NLP-Driven DJIA Prediction. | Miguel P. Cunha, Bruno Lopes Dalmazo, Viviane Leite Dias de Mattos, Richard F. Pinto, Diego Renan Bruno, Eduardo N. Borges, Giancarlo Lucca, Fabian Corra Cardoso, Rafael A. Berri |
| 2026 | ICCSA | Horizon-Aware Feature Selection and Evolutionary Optimization for Intraday Prediction in Futures Markets. | Arthur E. Nunes, Bruno Lopes Dalmazo, Viviane Leite Dias de Mattos, Richard F. Pinto, Diego Renan Bruno, Eduardo N. Borges, Giancarlo Lucca, Fabian Corra Cardoso, Rafael A. Berri |
| 2025 | ICCSA | Enhancing Stock Market Predictions: The Role of Feature Selection Techniques in Financial Modeling. | Humberto O. Bragana, Richard F. Pinto, Bruno Lopes Dalmazo, Eduardo N. Borges, Giancarlo Lucca, Viviane L. D. de Mattos, Rafael A. Berri |
| 2025 | ICCSA | Analysis of Bitcoin Trends Through the Integration of On-Chain Financial Indicators and Machine Learning. | Arthur G. Bubolz, Giancarlo Lucca, Lizandro de Souza Oliveira, Thiago Teixeira, Rafael A. Berri, Eduardo N. Borges, Bruno Lopes Dalmazo |
| 2025 | ICCSA | Predictive Analysis with Technical Indicators and Features Selection for Futures Contracts Trading. | Andrey V. S. Souza, Richard F. Pinto, Bruno Lopes Dalmazo, Eduardo N. Borges, Giancarlo Lucca, Viviane L. D. de Mattos, Rafael A. Berri |
| 2025 | IDEAL | Machine Learning vs. Randomness: Challenges in Predicting Binary Options Movements. | Gabriel M. Arantes, Richard F. Pinto, Bruno Lopes Dalmazo, Eduardo N. Borges, Giancarlo Lucca, Viviane L. D. de Mattos, Fabian Corra Cardoso, Rafael A. Berri |
| 2025 | IDEAL | Towards Bitcoin Trend Prediction: A Machine Learning Approach Using Blockchain-Derived Data. | Arthur G. Bubolz, Marcos C. Freitas, Giancarlo Lucca, Rafael A. Berri, Eduardo N. Borges, Bruno Lopes Dalmazo |
| 2024 | ICINCO | A Modular Multimodal Multi-Object Tracking-by-Detection Approach, with Applications in Outdoor and Indoor Environments. | Eduardo N. Borges, Lus Garrote, Urbano J. Nunes |
| 2024 | INDIN | A Software Architecture for the Control and Management of Industrial Inspection Evidence. | Nicolas N. Brasil, Victor Coch, Bruno Oliveira, Mateus Borges de Oliveira Pinto, Gabriel Souza, Rafaella Loureno, Luiza Lopes, Anajara A. Martins, Nelson L. Duarte Filho, Eder Mateus Nunes Gonalves, Vinicius M. Oliveira, Marcelo de Gomensoro Malheiros, Marcelo R. Pias, Eduardo N. Borges |
| 2024 | INDIN | Digital Twin Across Industry 5.0: Integrating Dimensional Analysis to a Rotor Inspection Module. | Bruno D. Oliveira, Gabriel Souza, Nicolas N. Brasil, Victor Coch, Mateus Borges de Oliveira Pinto, Rafaella Loureno, Luiza Lopes, Anajara A. Martins, Nelson L. Duarte Filho, Vinicius M. De Oliveira, Marcelo de Gomensoro Malheiros, Marcelo R. Pias, Eduardo N. Borges, Eder Mateus Nunes Gonalves |
| 2024 | IDEAL | Exploring Data Symbion EI Deep Learning and Model Sharing Modules. | Rafael Huszcza, Amanda Mendes, Jeferson Lopes, Eduardo N. Borges, Giancarlo Lucca, Pablo D. B. Guilherme, Leandro A. Pereira |
| 2023 | EUSFLAT | Fuzzy Integrals for Edge Detection. | Cdric Marco-Detchart, Giancarlo Lucca, Graaliz Pereira Dimuro, Tiago da Cruz Asmus, Carlos Lopez-Molina, Eduardo N. Borges, Jaime Andres Rincon, Vicente Julin, Humberto Bustince |
| 2023 | IDEAL | Analyzing the Influence of Market Event Correction for Forecasting Stock Prices Using Recurrent Neural Networks. | Jair O. Gonzlez, Rafael A. Berri, Giancarlo Lucca, Bruno Lopes Dalmazo, Eduardo N. Borges |
| 2023 | IDEAL | Comparing Ranking Learning Algorithms for Information Retrieval Systems. | Junior Zilles, Eduardo N. Borges, Giancarlo Lucca, Cdric Marco-Detchart, Rafael A. Berri, Graaliz Pereira Dimuro |
| 2022 | IPMU | On Construction Methods of (Interval-Valued) General Grouping Functions. | Graaliz Pereira Dimuro, Tiago da Cruz Asmus, Jocivania Pinheiro, Hlida Salles Santos, Eduardo N. Borges, Giancarlo Lucca, Iosu Rodrguez-Martnez, Radko Mesiar, Humberto Bustince |
| 2020 | IPMU | General Grouping Functions. | Hlida S. Santos, Graaliz Pereira Dimuro, Tiago da Cruz Asmus, Giancarlo Lucca, Eduardo N. Borges, Benjamn R. C. Bedregal, Jos Antonio Sanz, Javier Fernndez, Humberto Bustince |
| 2019 | IFSA | Simulating the Behaviour of Choquet-Like (pre) Aggregation Functions for Image Resizing in the Pooling Layer of Deep Learning Networks. | Camila Alves Dias, Jssica C. S. Bueno, Eduardo N. Borges, Giancarlo Lucca, Hlida Salles Santos, Graaliz Pereira Dimuro, Humberto Bustince, Paulo Drews Jr., Silvia Botelho, Eduardo Silva Palmeira |
| 2017 | SEKE | The effects of classifiers diversity on the accuracy of stacking. | Mariele Lanes, Eduardo N. Borges, Renata Galante |