Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Colcher, Sergio"'
Autor:
Moraes, Daniel de S., Santos, Pedro T. C., da Costa, Polyana B., Pinto, Matheus A. S., Pinto, Ivan de J. P., da Veiga, Álvaro M. G., Colcher, Sergio, Busson, Antonio J. G., Rocha, Rafael H., Gaio, Rennan, Miceli, Rafael, Tourinho, Gabriela, Rabaioli, Marcos, Santos, Leandro, Marques, Fellipe, Favaro, David
This work presents an unsupervised method for automatically constructing and expanding topic taxonomies using instruction-based fine-tuned LLMs (Large Language Models). We apply topic modeling and keyword extraction techniques to create initial topic
Externí odkaz:
http://arxiv.org/abs/2401.06790
Autor:
Busson, Antonio J. G., Rocha, Rafael, Gaio, Rennan, Miceli, Rafael, Pereira, Ivan, Moraes, Daniel de S., Colcher, Sérgio, Veiga, Alvaro, Rizzi, Bruno, Evangelista, Francisco, Santos, Leandro, Marques, Fellipe, Rabaioli, Marcos, Feldberg, Diego, Mattos, Debora, Pasqua, João, Dias, Diogo
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 Transformers encoder layers that generate contextual embeddings from two sho
Externí odkaz:
http://arxiv.org/abs/2312.07730
Autor:
Duarte, Julio Cesar, Colcher, Sérgio
Automatic speech recognition systems are part of people's daily lives, embedded in personal assistants and mobile phones, helping as a facilitator for human-machine interaction while allowing access to information in a practically intuitive way. Such
Externí odkaz:
http://arxiv.org/abs/2110.01425
Nowadays, subsurface salt body localization and delineation, also called semantic segmentation of salt bodies, are among the most challenging geophysicist tasks. Thus, identifying large salt bodies is notoriously tricky and is crucial for identifying
Externí odkaz:
http://arxiv.org/abs/2106.08269
Non-Intrusive Load Monitoring (NILM) is a computational technique to estimate the power loads' appliance-by-appliance from the whole consumption measured by a single meter. In this paper, we propose a conditional density estimation model, based on de
Externí odkaz:
http://arxiv.org/abs/2011.14870
Autor:
Mendes, Paulo R C, Busson, Antonio J G, Colcher, Sérgio, Schwabe, Daniel, Guedes, Álan L V, Laufer, Carlos
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 it comes to the addition of new targeted people. We propose a cluster-
Externí odkaz:
http://arxiv.org/abs/2010.11732
Autor:
Busson, Antonio J G, Mendes, Paulo R C, Moraes, Daniel de S, da Veiga, Álvaro M, Guedes, Álan L V, Colcher, Sérgio
Recent works have successfully applied some types of Convolutional Neural Networks (CNNs) to reduce the noticeable distortion resulting from the lossy JPEG/MPEG compression technique. Most of them are built upon the processing made on the spatial dom
Externí odkaz:
http://arxiv.org/abs/2010.05760
Autor:
Mendes, Paulo R. C., Vieira, Eduardo S., Guedes, Álan L. V., Busson, Antonio J. G., Colcher, Sérgio
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 systems are often used to enhance the ability to find and select content.
Externí odkaz:
http://arxiv.org/abs/2010.04676
Autor:
Busson, Antonio José G., Colcher, Sérgio, Milidiú, Ruy Luiz, Dias, Bruno Pereira, Bulcão, André
Deep learning-based models, such as convolutional neural networks, have advanced various segments of computer vision. However, this technology is rarely applied to seismic shot gather noise localization problem. This letter presents an investigation
Externí odkaz:
http://arxiv.org/abs/2005.03626
Autor:
Bucker, Eduardo Betine, Busson, Antonio José Grandson, Milidiú, Ruy Luiz, Colcher, Sérgio, Dias, Bruno Pereira, Bulcão, André
Deep Learning-based models such as Convolutional Neural Networks, have led to significant advancements in several areas of computing applications. Seismogram quality assurance is a relevant Geophysics task, since in the early stages of seismic proces
Externí odkaz:
http://arxiv.org/abs/1912.01148