Submissões recentes

  • Enhancing brain storm optimization through optimum-path forest

    Afonso, Luis Claudiosugi Sugi; Passos, Leandro; Paulopapa, Joao Paulo Autor UNESP (SACI 2018 - IEEE 12th International Symposium on Applied Computational Intelligence and Informatics, Proceedings, 2018) [Trabalho apresentado em evento]
    Among the many interesting meta-heuristic optimization algorithms, one can find those inspired by both the swarm and social behavior of human beings. The Brain Storm Optimization (BSO) is motivated by the brainstorming ...
  • Parkinson disease identification using residual networks and optimum-path forest

    Passos, Leandro A.; Pereira, Clayton R. Autor UNESP; Rezende, Edmar R.S.; Carvalho, Tiago J.; Weber, Silke A.T. Autor UNESP; Hook, Christian; Papa, Joao P. Autor UNESP (SACI 2018 - IEEE 12th International Symposium on Applied Computational Intelligence and Informatics, Proceedings, 2018) [Trabalho apresentado em evento]
    Known as one of the most significant neurodegenerative diseases of the central nervous system, Parkinson's disease (PD) has a combination of several symptoms, such as tremor, postural instability, loss of movements, ...
  • Fine tuning deep boltzmann machines through meta-heuristic approaches

    Passos, Leandro A.; Rodrigues, Douglas R.; Papa, Joao P. Autor UNESP (SACI 2018 - IEEE 12th International Symposium on Applied Computational Intelligence and Informatics, Proceedings, 2018) [Trabalho apresentado em evento]
    The Deep learning framework has been widely used in different applications from medicine to engineering. However, there is a lack of works that manage to deal with the issue of hyperparameter fine-tuning, since machine ...
  • A restricted boltzmann machine-based approach for robust dimensionality reduction

    Botelho De Souza, Gustavo; Da Silva Santos, Daniel Felipe Autor UNESP; Gonalves Pires, Rafael; Marana, Aparecido Nilceu Autor UNESP; Papa, Joo Paulo Autor UNESP (Proceedings - 13th Workshop of Computer Vision, WVC 2017, 2018) [Trabalho apresentado em evento]
    Data dimensionality is an important issue to be adressed by pattern recognition systems. Despite of storage and processing, working with high-dimensional feature vectors also requires complex optimization methods. A proper ...
  • A fast approach for unsupervised karst feature identification using GPU

    Afonso, Luis C.S.; Basso, Mateus; Kuroda, Michelle C.; Vidal, Alexandre C.; Papa, João P. Autor UNESP (Computers and Geosciences, 2018) [Artigo]
    Among the geological features, karst is the one that has received special attention in oil and gas exploration for being a strong indicator of the potential existence of hydrocarbon reservoirs. The integration of automatic ...
  • Aspects of user profiles that can improve mobile augmented reality usage

    Sanches, Silvio Ricardo Rodrigues; Oizumi, Marcio; Oliveira, Claiton; Damasceno, Eduardo Filgueiras; Sementille, Antonio Carlos Autor UNESP (Proceedings - 19th Symposium on Virtual and Augmented Reality, SVR 2017, 2017) [Trabalho apresentado em evento]
    Augmented Reality (AR) applications running on mobile devices have become more popular in recent years. As with digital games, many developers have begun to direct their applications to mobile platforms, although the ...
  • Development of a method for capturing human motion using a RGB-D camera

    Da Motta, Everton Simoes Autor UNESP; Sementille, Antonio Carlos Autor UNESP; Aguilar, Ivan Abdo Autor UNESP (Proceedings - 19th Symposium on Virtual and Augmented Reality, SVR 2017, 2017) [Trabalho apresentado em evento]
    Human motion capture systems are being increasingly studied in the area of computer vision and also by major entertainment industries. These systems are able to track the position and orientation of joints of the body and ...
  • The development of a facial animation system based on performance and the use of an RGB-D camera

    Da Silva, Carlos Eduardo Rossi Cubas Autor UNESP; Sementille, Antonio Carlos Autor UNESP (Proceedings - 19th Symposium on Virtual and Augmented Reality, SVR 2017, 2017) [Trabalho apresentado em evento]
    In recent decades, interest in capturing human face movements and identifying expressions for the purpose of generating realistic facial animations has increased in both the scientific community and the entertainment ...
  • An approach to value creation in open data for small and medium-sized enterprises using 'R' ecosystem

    Albino, Joao Pedro Autor UNESP (Proceedings of Computing Conference 2017, 2018) [Trabalho apresentado em evento]
    With the technologies proliferation for Internet, such as cloud computing, mobile devices, social media and the internet of things, small and medium enterprises, despite their smaller size, less revenue and small number ...
  • Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification

    Pereira, Clayton R.; Pereira, Danilo R.; Rosa, Gustavo H. Autor UNESP; Albuquerque, Victor H.C.; Weber, Silke A.T. Autor UNESP; Hook, Christian; Papa, João P. Autor UNESP (Artificial Intelligence in Medicine, 2018) [Artigo]
    Background and objective: Parkinson's disease (PD) is considered a degenerative disorder that affects the motor system, which may cause tremors, micrography, and the freezing of gait. Although PD is related to the lack of ...
  • A survey on Barrett's esophagus analysis using machine learning

    de Souza, Luis A. Autor UNESP; Palm, Christoph; Mendel, Robert; Hook, Christian; Ebigbo, Alanna; Probst, Andreas; Messmann, Helmut; Weber, Silke Autor UNESP; Papa, João P. Autor UNESP (Computers in Biology and Medicine, 2018) [Resenha]
    This work presents a systematic review concerning recent studies and technologies of machine learning for Barrett's esophagus (BE) diagnosis and treatment. The use of artificial intelligence is a brand new and promising ...
  • Efficient transfer learning for robust face spoofing detection

    Souza, Gustavo B.; Santos, Daniel F. S. Autor UNESP; Pires, Rafael G.; Marana, Aparecido N. Autor UNESP; Papa, João P. Autor UNESP (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018) [Trabalho apresentado em evento]
    Biometric systems are synonym of security. However, nowadays, criminals are violating them by presenting forged traits, such as facial photographs, to fool their capture sensors (spoofing attacks). In order to detect such ...
  • A Deep Boltzmann machine-based approach for robust image denoising

    Pires, Rafael G.; Santos, Daniel S. Autor UNESP; Souza, Gustavo B.; Marana, Aparecido N. Autor UNESP; Levada, Alexandre L. M.; Papa, João Paulo Autor UNESP (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018) [Trabalho apresentado em evento]
    A Deep Boltzmann Machine (DBM) is composed of a stack of learners called Restricted Boltzmann Machines (RBMs), which correspond to a specific kind of stochastic energy-based networks. In this work, a DBM is applied to a ...
  • A scale-space approach for multiscale shape analysis

    Ramos, Lucas Alexandre Autor UNESP; Marana, Aparecido Nilceu Autor UNESP; de Souza Junior, Luis Antônio (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018) [Trabalho apresentado em evento]
    Currently, given the widespread of computers through society, the task of recognizing visual patterns is being more and more automated, in particular to treat the large and growing amount of digital images available. Two ...
  • Utilizing deep learning and 3DLBP for 3D Face recognition

    Cardia Neto, João Baptista; Marana, Aparecido Nilceu Autor UNESP (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018) [Trabalho apresentado em evento]
    Methods based on biometrics can help prevent frauds and do personal identification in day-to-day activities. Automated Face Recognition is one of the most popular research subjects since it has several important properties, ...
  • A kernel-based optimum-path forest classifier

    Afonso, Luis C. S.; Pereira, Danillo R.; Papa, João P. Autor UNESP (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018) [Trabalho apresentado em evento]
    The modeling of real-world problems as graphs along with the problem of non-linear distributions comes up with the idea of applying kernel functions in feature spaces. Roughly speaking, the idea is to seek for well-behaved ...
  • Parkinson's Disease Identification through Deep Optimum-Path Forest Clustering

    Afonso, Luis Claudio Sugi; Pereira, Clayton Reginaldo; Weber, Silke Anna Theresa Autor UNESP; Hook, Christian; Papa, Joao Paulo Autor UNESP (Proceedings - 30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017, 2017) [Trabalho apresentado em evento]
    Approximately 50,000 to 60,000 new cases of Parkinson's disease (PD) are diagnosed yearly. Despite being non-lethal, PD shortens life expectancy of the ones affected with such disease. As such, researchers from different ...
  • A 2D Deep Boltzmann Machine for Robust and Fast Vehicle Classification

    Santos, Daniel Felipe Silva Autor UNESP; Souza, Gustavo Botelho De; Marana, Aparecido Nilceu Autor UNESP (Proceedings - 30th Conference on Graphics, Patterns and Images, SIBGRAPI 2017, 2017) [Trabalho apresentado em evento]
    The visual and automatic classification of vehicles plays an important role in the Transport Area. Besides of security issues, the monitoring of the type of traffic in streets and highways, as well the traffic dynamics ...
  • Improving optimum-path forest learning using bag-of-classifiers and confidence measures

    Fernandes, Silas Evandro Nachif; Papa, João Paulo Autor UNESP (Pattern Analysis and Applications, 2017) [Artigo]
    Machine learning techniques have been actively pursued in the last years, mainly due to the great number of applications that make use of some sort of intelligent mechanism for decision-making processes. In this work, we ...
  • Deep Texture Features for Robust Face Spoofing Detection

    De Souza, Gustavo Botelho; Da Silva Santos, Daniel Felipe Autor UNESP; Pires, Rafael Goncalves; Marana, Aparecido Nilceu Autor UNESP; Papa, Joao Paulo Autor UNESP (IEEE Transactions on Circuits and Systems II: Express Briefs, 2017) [Artigo]
    Biometric systems are quite common in our everyday life. Despite the higher difficulty to circumvent them, nowadays criminals are developing techniques to accurately simulate physical, physiological, and behavioral traits ...

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