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Fernando Peres
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Citado por
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Año
Combinatorial optimization problems and metaheuristics: Review, challenges, design, and development
F Peres, M Castelli
Applied Sciences 11 (14), 6449, 2021
1182021
Using artificial intelligence to overcome over-indebtedness and fight poverty
MB Ferreira, DC Pinto, MM Herter, J Soro, L Vanneschi, M Castelli, ...
Journal of Business Research 131, 411-425, 2021
422021
Requirements Specification Model in a Software Development Process inside a Physically Distributed Environment.
R Prikladnicki, F Peres, JLN Audy, M da Costa Móra, A Perdigoto
ICEIS 2002, 830-834, 2002
182002
Time series clustering of online gambling activities for addicted users’ detection
F Peres, E Fallacara, L Manzoni, M Castelli, A Popovič, M Rodrigues, ...
Applied Sciences 11 (5), 2397, 2021
142021
Comparing SMILES and SELFIES tokenization for enhanced chemical language modeling
M Leon, Y Perezhohin, F Peres, A Popovič, M Castelli
Scientific Reports 14 (1), 25016, 2024
22024
Combining computational linguistics with sentence embedding to create a zero-shot NLIDB
Y Perezhohin, F Peres, M Castelli
Array 24, 100368, 2024
2024
Enhancing Automatic Speech Recognition: Effects of Semantic Audio Filtering on Models Performance
Y Perezhohin, T Santos, V Costa, F Peres, M Castelli
IEEE Access, 2024
2024
Zero-Shot Prompting Strategies for Table Question Answering with a Low-Resource Language
M Jannuzzi, Y Perezhohin, F Peres, M Castelli, A Popovič
Emerging Science Journal 8 (5), 2003-2022, 2024
2024
Fighting Over-Indebtedness: An Artificial Intelligence Approach: An Abstract
M Ferreira, DC Pinto, MM Herter, J Soro, L Vanneschi, M Castelli, F Peres
Academy of Marketing Science Annual Conference, 579-580, 2020
2020
Origami Toolkit: Metaheuristic Framework for Combinatorial Optimization Problems
FAJ Peres
2020
Origami Toolkit: Metaheuristic Framework for Combinatorial Optimization Problems: A Machine Learning Tool for Problem-solving and Decision-making
FAJ Peres
PQDT-Global, 2020
2020
Fighting Over-Indebtedness: An Artificial Intelligence Approach
M Ferreira, J Soro, DC Pinto, L Vanneschi, M Castelli, F Peres, MM Herter
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Artículos 1–12