Titlebook: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications; 27th Iberoamerican C Ruber Hernández-García,Ricardo J.

Prophylaxis

,Hate Speech Detection in?Portuguese Using BERTimbau,peech detection as a source task can be effective for hate detection and if the unbalanced data poses an obstacle for a Portuguese pre-trained BERT model, BERTimbau. Experimental results show that transferring learning between tasks does not improve performance and that using balanced data leads to better F1 scores and Cohen’s Kappa.

Affiliation

,An Effective Approach to?Text Detection and?Recognition in?Degraded Historical Documents,s from Project Gutenberg, our approach demonstrates superior performance in terms of Word Error Rate (WER) compared to existing methods, highlighting its effectiveness in accurately recovering text from complex and degraded document images.

intercede

碎石

0302-9743 informatics..Part II: Biometrics, cognitive and humanoid vision, computer vision, image analysis, intelligent data analysis..978-3-031-76606-0978-3-031-76607-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

Coterminous

,Ensemble Approach to?Adaptable Behavior Cloning for?a?Fighting Game AI,ion. Results indicate that this approach improves training effectiveness and achieves comparable classification performance to a traditional DAgger approach with less data training, improving the base learner’s training effectiveness and adaptation to new trajectories.

acolyte

,CNN Sensitivity Analysis for?Land Cover Map Models Using Sparse and?Heterogeneous Satellite Data,nents, on seven different classes. The results show that the best model is the PSPNet with seresnet18, obtaining a test macro F1 score of 0.4950 when the model is trained with data augmentation and fine-tuning.