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pro vyhledávání: '"Colcher A"'
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:
Yan Martins Braz Gurevitz Cunha, Bruno Rocha Gomes, José Matheus C. Boaro, Daniel de Sousa Moraes, Antonio José Grandson Busson, Julio Cesar Duarte, Sérgio Colcher
Publikováno v:
Journal on Interactive Systems, Vol 15, Iss 1 (2024)
Modern deepfake techniques produce highly realistic false media content with the potential for spreading harmful information, including fake news and incitements to violence. Deepfake detection methods aim to identify and counteract such content by e
Externí odkaz:
https://doaj.org/article/2c55e1770d1c41e8b783f5dfc544cb15
Autor:
Julio Cesar Duarte, Sérgio Colcher
Publikováno v:
Journal on Interactive Systems, Vol 15, Iss 1 (2024)
An Automatic Speech Recognition (ASR) System is a software tool that converts a speech audio waveform into its corresponding text transcription. ASR systems are usually built using Artificial Intelligence techniques, particularly Machine Learning alg
Externí odkaz:
https://doaj.org/article/257dc5ef0ab94c74b72b76359ef17403
Autor:
Zain, Jasmine, Tsai, Ni-Chun, Palmer, Joycelynne, Simpson, Jennifer, Adhikarla, Vikram, Bading, James R., Yazaki, Paul, Smith, Eileen P., Dandapani, Savita, Song, Joo Y., Karras, Nicole A., Herrera, Alex F., Salhotra, Amandeep, Nademanee, Auayporn P., Nakamura, Ryotaro, Smith, D. Lynne, Yamauchi, David, Poku, Erasmus K., Biglang-Awa, V. Eric, Colcher, David, Shively, John E., Wu, Anna M., Forman, Stephen J., Wong, Jeffrey, Thomas, Sandra
Publikováno v:
In Blood Advances 24 September 2024 8(18):4812-4822
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