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@@ -57,9 +57,13 @@ The model was trained on a processed version of GenBank sequences spanning multi
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  ## Publications
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- - Achieved **2nd place** at a national event in Fortaleza, Ceará, Brazil - [Symposium on Knowledge Discovery, Mining and Learning (KDMiLe) - SBC](https://doi.org/10.5753/kdmile.2025.247575).
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- - Later accepted for publication in Athens, Greece, on [International Conference on BioInformatics and BioEngineering (BIBE) - IEEE](pending).
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  ## Training
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  - Trained on an architecture with 8x H100 GPUs.
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  You can find scripts for:
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  - Preprocessing GenBank sequences
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  - Fine-tuning models
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- - Evaluating and using the trained models
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-
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- ## Reference
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-
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- If you use this model in scientific research, please cite:
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- > [future IEEE link](pending)
 
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  ## Publications
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+ - **Full Paper 2nd Place (National)**
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+ Achieved **2nd place** at the _Symposium on Knowledge Discovery, Mining and Learning (KDMiLe 2025)_, organized by the Brazilian Computer Society (SBC), held in Fortaleza, Ceará, Brazil.
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+ [https://doi.org/10.5753/kdmile.2025.247575](https://doi.org/10.5753/kdmile.2025.247575)
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+ - **Short Paper (International)**
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+ Presented at the _IEEE International Conference on Bioinformatics and BioEngineering (BIBE 2025)_, held in Athens, Greece.
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+ [https://doi.org/10.1109/BIBE66822.2025.00113](https://doi.org/10.1109/BIBE66822.2025.00113)
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  ## Training
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  - Trained on an architecture with 8x H100 GPUs.
 
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  You can find scripts for:
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  - Preprocessing GenBank sequences
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  - Fine-tuning models
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+ - Evaluating and using the trained models