MastersThesis/docs/06_referencias_bibliograficas.md

# Referencias bibliográficas {.unnumbered}

Akiba, T., Sano, S., Yanase, T., Ohta, T., & Koyama, M. (2019). Optuna: A next-generation hyperparameter optimization framework. *Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining*, 2623-2631. [https://doi.org/10.1145/3292500.3330701](https://doi.org/10.1145/3292500.3330701)

Baek, Y., Lee, B., Han, D., Yun, S., & Lee, H. (2019). Character region awareness for text detection. *Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition*, 9365-9374. [https://doi.org/10.1109/CVPR.2019.00959](https://doi.org/10.1109/CVPR.2019.00959)

Bergstra, J., & Bengio, Y. (2012). Random search for hyper-parameter optimization. *Journal of Machine Learning Research*, 13(1), 281-305. [https://jmlr.org/papers/v13/bergstra12a.html](https://jmlr.org/papers/v13/bergstra12a.html)

Bergstra, J., Bardenet, R., Bengio, Y., & Kégl, B. (2011). Algorithms for hyper-parameter optimization. *Advances in Neural Information Processing Systems*, 24, 2546-2554. [https://papers.nips.cc/paper/2011/hash/86e8f7ab32cfd12577bc2619bc635690-Abstract.html](https://papers.nips.cc/paper/2011/hash/86e8f7ab32cfd12577bc2619bc635690-Abstract.html)

Cohen, J. (1988). *Statistical power analysis for the behavioral sciences* (2nd ed.). Lawrence Erlbaum Associates.

Doran, G. T. (1981). There's a S.M.A.R.T. way to write management's goals and objectives. *Management Review*, 70(11), 35-36.

Du, Y., Li, C., Guo, R., Yin, X., Liu, W., Zhou, J., Bai, Y., Yu, Z., Yang, Y., Dang, Q., & Wang, H. (2020). PP-OCR: A practical ultra lightweight OCR system. *arXiv*. [https://arxiv.org/abs/2009.09941](https://arxiv.org/abs/2009.09941)

Du, Y., Li, C., Guo, R., Cui, C., Liu, W., Zhou, J., Lu, B., Yang, Y., Liu, Q., Hu, X., Yu, D., & Wang, H. (2023). PP-OCRv4: Mobile scene text detection and recognition. *arXiv*. [https://arxiv.org/abs/2310.05930](https://arxiv.org/abs/2310.05930)

Feurer, M., & Hutter, F. (2019). Hyperparameter optimization. In F. Hutter, L. Kotthoff, & J. Vanschoren (Eds.), *Automated machine learning: Methods, systems, challenges* (pp. 3-33). Springer. [https://doi.org/10.1007/978-3-030-05318-5_1](https://doi.org/10.1007/978-3-030-05318-5_1)

He, P., Huang, W., Qiao, Y., Loy, C. C., & Tang, X. (2016). Reading scene text in deep convolutional sequences. *Proceedings of the AAAI Conference on Artificial Intelligence*, 30(1), 3501-3508. [https://doi.org/10.1609/aaai.v30i1.10291](https://doi.org/10.1609/aaai.v30i1.10291)

JaidedAI. (2020). *EasyOCR: Ready-to-use OCR with 80+ supported languages* [Computer software]. GitHub. [https://github.com/JaidedAI/EasyOCR](https://github.com/JaidedAI/EasyOCR)

Liang, J., Doermann, D., & Li, H. (2005). Camera-based analysis of text and documents: A survey. *International Journal of Document Analysis and Recognition*, 7(2), 84-104. [https://doi.org/10.1007/s10032-004-0138-z](https://doi.org/10.1007/s10032-004-0138-z)

Liao, M., Wan, Z., Yao, C., Chen, K., & Bai, X. (2020). Real-time scene text detection with differentiable binarization. *Proceedings of the AAAI Conference on Artificial Intelligence*, 34(07), 11474-11481. [https://doi.org/10.1609/aaai.v34i07.6812](https://doi.org/10.1609/aaai.v34i07.6812)

Liaw, R., Liang, E., Nishihara, R., Moritz, P., Gonzalez, J. E., & Stoica, I. (2018). Tune: A research platform for distributed model selection and training. *arXiv*. [https://arxiv.org/abs/1807.05118](https://arxiv.org/abs/1807.05118)

Mindee. (2021). *DocTR: Document text recognition* [Computer software]. GitHub. [https://github.com/mindee/doctr](https://github.com/mindee/doctr)

Moritz, P., Nishihara, R., Wang, S., Tumanov, A., Liaw, R., Liang, E., Elibol, M., Yang, Z., Paul, W., Jordan, M. I., & Stoica, I. (2018). Ray: A distributed framework for emerging AI applications. *13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18)*, 561-577. [https://www.usenix.org/conference/osdi18/presentation/moritz](https://www.usenix.org/conference/osdi18/presentation/moritz)

Morris, A. C., Maier, V., & Green, P. D. (2004). From WER and RIL to MER and WIL: Improved evaluation measures for connected speech recognition. *Eighth International Conference on Spoken Language Processing*. [https://doi.org/10.21437/Interspeech.2004-668](https://doi.org/10.21437/Interspeech.2004-668)

PaddlePaddle. (2024). *PaddleOCR: Awesome multilingual OCR toolkits based on PaddlePaddle* [Computer software]. GitHub. [https://github.com/PaddlePaddle/PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)

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Shi, B., Bai, X., & Yao, C. (2016). An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition. *IEEE Transactions on Pattern Analysis and Machine Intelligence*, 39(11), 2298-2304. [https://doi.org/10.1109/TPAMI.2016.2646371](https://doi.org/10.1109/TPAMI.2016.2646371)

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Zhou, X., Yao, C., Wen, H., Wang, Y., Zhou, S., He, W., & Liang, J. (2017). EAST: An efficient and accurate scene text detector. *Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition*, 5551-5560. [https://doi.org/10.1109/CVPR.2017.283](https://doi.org/10.1109/CVPR.2017.283)

Zoph, B., & Le, Q. V. (2017). Neural architecture search with reinforcement learning. *International Conference on Learning Representations (ICLR)*. [https://arxiv.org/abs/1611.01578](https://arxiv.org/abs/1611.01578)