5 citations · 24 across the 7 of their papers we have counts for
7 papers
Using Zero-shot Prompting in the Automatic Creation and Expansion of Topic Taxonomies for Tagging Retail Banking Transactions
Daniel de S. Moraes, Pedro T. C. Santos, Polyana B. da Costa +13
This work presents an unsupervised method for automatically constructing and expanding topic taxonomies using instruction-based fine-tuned LLMs (Large Language Models). We apply to…
Hierarchical Classification of Financial Transactions Through Context-Fusion of Transformer-based Embeddings and Taxonomy-aware Attention Layer
Antonio J. G. Busson, Rafael Rocha, Rennan Gaio +14
This work proposes the Two-headed DragoNet, a Transformer-based model for hierarchical multi-label classification of financial transactions. Our model is based on a stack of Transf…
Saturn Platform: Foundation Model Operations and Generative AI for Financial Services
Antonio J. G. Busson, Rennan Gaio, Rafael H. Rocha +6
Saturn is an innovative platform that assists Foundation Model (FM) building and its integration with IT operations (Ops). It is custom-made to meet the requirements of data scient…
A Cluster-Matching-Based Method for Video Face Recognition
Paulo R C Mendes, Antonio J G Busson, Sérgio Colcher +3
Face recognition systems are present in many modern solutions and thousands of applications in our daily lives. However, current solutions are not easily scalable, especially when…
Video Quality Enhancement Using Deep Learning-Based Prediction Models for Quantized DCT Coefficients in MPEG I-frames
Antonio J G Busson, Paulo R C Mendes, Daniel de S Moraes +3
Recent works have successfully applied some types of Convolutional Neural Networks (CNNs) to reduce the noticeable distortion resulting from the lossy JPEG/MPEG compression techniq…
A Clustering-Based Method for Automatic Educational Video Recommendation Using Deep Face-Features of Lecturers
Paulo R. C. Mendes, Eduardo S. Vieira, Álan L. V. Guedes +2
Discovering and accessing specific content within educational video bases is a challenging task, mainly because of the abundance of video content and its diversity. Recommender sys…
A Multimodal CNN-based Tool to Censure Inappropriate Video Scenes
Pedro V. A. de Freitas, Paulo R. C. Mendes, Gabriel N. P. dos Santos +4
Due to the extensive use of video-sharing platforms and services for their storage, the amount of such media on the internet has become massive. This volume of data makes it diffic…