Recent Submissions

  • U-healthcare system for pre-diagnosis of Parkinson's disease from voice signal

    Junior, Sylvio Barbon; Turrisi da Costa, Victor G.; Chen, Shi-Huang; Guido, Rodrigo Capobianco Autor UNESP (Proceedings - 2018 IEEE International Symposium on Multimedia, ISM 2018, 2019) [Trabalho apresentado em evento]
    With the ageing and growth of the population, some chronic diseases, such as Parkinson's disease (PD), urge the society to a health-conscious looking for better health system designs. Some recent research endeavour has ...
  • Enhancing teager energy operator based on a novel and appealing concept: Signal mass

    Guido, Rodrigo Capobianco Autor UNESP (Journal of the Franklin Institute, 2019) [Artigo]
    In analogy with a spring-mass system, the original Teager Energy Operator (T) approximately models the energy of a discrete-time signal (x[·]) as the squared product of its amplitude (A) by its instantaneous frequency (Ω). ...
  • A user-driven association rule mining based on templates for multi-relational data

    Valêncio, Carlos Roberto Autor UNESP; Morais, Guilherme Henrique Autor UNESP; Fortes, Márcio Zamboti; Colombini, Angelo Cesar; Neves, Leandro Alves Autor UNESP; Tronco, Mario Luiz; Tenório, William Autor UNESP (Journal of Computer Science, 2018) [Artigo]
    Data mining algorithms to find association rules are an important tool to extract knowledge from databases. However, these algorithms produce an enormous amount of rules, many of which could be redundant or irrelevant for ...
  • Neurogenetic algorithm applied to Route Planning for Autonomous Mobile Robots

    Bruno, Diego Renan; Marranghello, Norian Autor UNESP; Osório, Fernando Santos; Pereira, Aledir Silveira Autor UNESP (Proceedings of the International Joint Conference on Neural Networks, 2018) [Trabalho apresentado em evento]
    We developed a bioinspired algorithm to assist in the navigation of an autonomous mobile robot in dynamic environments. The robotic controller uses both an Artificial Neural Network (ANN) and a Genetic Algorithm (GA), aided ...
  • Analysis of the Influence of Color Normalization in the Classification of Non-Hodgkin Lymphoma Images

    Goncalves Ribeiro, Matheus Autor UNESP; Alves Neves, Leandro Autor UNESP; Freire Roberto, Guilherme; Tosta, Thaina A. A.; Martins, Alessandro S.; Do Nascimento, Marcelo Z. (Proceedings - 31st Conference on Graphics, Patterns and Images, SIBGRAPI 2018, 2019) [Trabalho apresentado em evento]
    In this work, a method is proposed to analyze the influence of color normalization in the classification lymphoma images. The approach combines multidimensional fractal techniques, curvelet transforms and Haralick features. ...
  • Performance improvement of SNP Search using multithread programming

    Zafalon, Geraldo Francisco Donegá Autor UNESP; da Cruz, Álvaro Magri Nogueira Autor UNESP; Amorim, Anderson Rici Autor UNESP; Andrade, Matheus Carreira Autor UNESP; Contessoto, Allan de Godoi Autor UNESP; Neves, Laendro Alves Autor UNESP; Souza, Rogéria Cristiane Gratãode Autor UNESP; Valêncio, Carlos Roberto Autor UNESP; Sato, Liria Matsumoto (Journal of Computer Science, 2018) [Artigo]
    Pattern recognition is an important field in Bioinformatics and a well-known task is the search for Single Nucleotide Polymorphism (SNP). It is possible to search for a known SNP position and analyze it using patterns of ...
  • Classification of colorectal cancer based on the association of multidimensional and multiresolution features

    Ribeiro, Matheus Gonçalves Autor UNESP; Neves, Leandro Alves Autor UNESP; do Nascimento, Marcelo Zanchetta; Roberto, Guilherme Freire; Martins, Alessandro Santana; Azevedo Tosta, Thaína Aparecida (Expert Systems with Applications, 2019) [Artigo]
    Colorectal cancer is one of the most common types of cancer according to worldwide incidences statistics. The correct diagnosis of this lesion leads to the indication of the most adequate treatments for cancer-affected ...
  • Face recognition using local mapped pattern and genetic algorithms

    Silva, E. M. Autor UNESP; Boaventura, M. Autor UNESP; Boaventura, I. A.G. Autor UNESP; Contreras, R. C. (ACM International Conference Proceeding Series, 2018) [Trabalho apresentado em evento]
    Facial recognition is one of the most used biometric technologies in automated systems which ensure a person’s identity for authorizes access and monitoring. The acceptance of face use has several advantages over other ...
  • Effects of temperature and pectin edible coatings with guava by-products on the drying kinetics and quality of dried red guava

    Todisco, Katieli Martins Autor UNESP; Janzantti, Natália Soares Autor UNESP; Santos, Adriana Barbosa Autor UNESP; Galli, Felipe Sestari Autor UNESP; Mauro, Maria Aparecida Autor UNESP (Journal of Food Science and Technology, 2018) [Artigo]
    With the objective of utilizing agro-industrial by-products and enhancing the quality attributes of dehydrated fruits, this study evaluated the effects of edible pectin-based coatings containing disintegrated guava by-products ...
  • Multidimensional and fuzzy sample entropy (SampEnMF) for quantifying H&E histological images of colorectal cancer

    Segato dos Santos, Luiz Fernando Autor UNESP; Neves, Leandro Alves Autor UNESP; Rozendo, Guilherme Botazzo Autor UNESP; Ribeiro, Matheus Gonçalves Autor UNESP; Zanchetta do Nascimento, Marcelo; Azevedo Tosta, Thaína Aparecida (Computers in Biology and Medicine, 2018) [Artigo]
    In this study, we propose to use a method based on the combination of sample entropy with multiscale and multidimensional approaches, along with a fuzzy function. The model was applied to quantify and classify H&E histological ...
  • Computational normalization of H&E-stained histological images: Progress, challenges and future potential

    Azevedo Tosta, Thaina A.; Faria, Paulo Rogerio de; Neves, Leandro Alves Autor UNESP; Nascimento, Marcelo Zanchetta do (Artificial Intelligence In Medicine, 2019) [Resenha]
    Different types of cancer can be diagnosed with the analysis of histological samples stained with hematoxylin-eosin (H&E). Through this stain, it is possible to identify the architecture of tissue components and analyze ...
  • Paraconsistent Feature Engineering

    Guido, Rodrigo Capobianco Autor UNESP (Ieee Signal Processing Magazine, 2019) [Artigo]
  • Prediction of Spatial and Temporal Data: A Web Tool based on Georeferenced Resources

    Valencio, Carlos Roberto Autor UNESP; El Hetti Laurenti, Carlos Henrique Autor UNESP; Baida, Luiz Carlos Autor UNESP; Ferrari, Fernando Autor UNESP; Kawabata, Thatiane Autor UNESP; Colombini, Angelo Cesar; IEEE (2014 15th International Conference On Parallel And Distributed Computing, Applications And Technologies (pdcat 2014), 2014) [Trabalho apresentado em evento]
    Spatiotemporal data stored in geographic databases provide an evolutionary panorama about the characteristics of a specific region. With integration of prediction concepts and statistical functions to that data, it is ...
  • Endemicity of the High-Risk Clone Klebsiella pneumoniae ST340 Coproducing QnrB, CTX-M-15, and KPC-2 in a Brazilian Hospital

    Tolentino, Fernanda Modesto Autor UNESP; Campagnari Bueno, Maria Fernanda; Franscisco, Gabriela Rodrigues; Paula Barcelos, Diego Diniz de; Lobo, Suzana Margareth; Moreira Batista Tomaz, Francieli Maira; Silva, Natal Santos da; Andrade, Leonardo Neves de; Casella, Tiago; Costa Darini, Ana Lucia da et al. (Microbial Drug Resistance, 2018) [Artigo]
    The dissemination of multiresistant Klebsiella pneumoniae carbapenemase (KPC)-2-producing Klebsiella pneumoniae isolates belonging to international high-risk clones poses a major health care threat. In this study, 48 ...
  • Unusual effect of chemical communication on social aggression in juvenile cichlid fish Cichlasoma paranaense (Cichliformes: Cichlidae)

    Santos Gauy, Ana Carolina dos Autor UNESP; Bolognesi, Marcela Cesar Autor UNESP; Goncalves-de-Freitas, Eliane Autor UNESP (Neotropical Ichthyology, 2019) [Artigo]
    Some fish species are socially organized and show a social rank order which is achieved through aggressive interactions. After hierarchy is settled, such species communicate their ranks through several sensorial cues; this ...
  • A new Solution to perform Data Dissemination in Vehicular Networks

    Meneguette, Rodolfo I.; Maia, Guilherme; Madeira, Edmundo R. M.; Pinto Antonio, Alex R. Autor UNESP; Loureiro, A. F.; Villas, Leandro A.; IEEE (2014 Brazilian Symposium On Computer Networks And Distributed Systems (sbrc), 2014) [Trabalho apresentado em evento]
    Vehicular Ad Hoc Networks (VANET) provide safety, traffic efficiency and user comfort for drivers and passengers. To reach these goals many envisaged applications for VANETs will rely on data dissemination, turning this ...
  • Use of a webcam for movement detection

    Silva, W. R. S.; Pereti, N. C.; Rogeri, J. G.; Pereira, A. S. Autor UNESP; Marranghello, N. Autor UNESP; Araujo, A. F.; Tavares, Joao Manuel R. S.; Tavares, JMRS; Jorge, RMN (Computational Vision And Medical Image Processing Iv, 2014) [Trabalho apresentado em evento]
    Accessibility evolving as a major concern nowadays, the suppression the utilization of a mouse while the user interacts via an interface becomes relevant as well. The work described herein aims at creating a method to ...
  • Virtual laboratories development using 3D environments

    Oliveira, Toni Amorim; Marranghello, Norian Autor UNESP; Silva, Alexandre César Rodrigues Autor UNESP; Pereira, Aledir Silveira Autor UNESP (Virtual and Augmented Reality: Concepts, Methodologies, Tools, and Applications, 2018) [Capítulo de livro]
    3D virtual worlds or metaverses are immersion environments that allow the simulation of some real environment characteristics such as sound and gravity. In this chapter we describe the development of a 3D virtual environment ...
  • Multi-Output Tree Chaining: An Interpretative Modelling and Lightweight Multi-Target Approach

    Mastelini, Saulo Martiello; da Costa, Victor Guilherme Turrisi; Santana, Everton Jose; Nakano, Felipe Kenji; Guido, Rodrigo Capobianco Autor UNESP; Cerri, Ricardo; Barbon, Sylvio (Journal of Signal Processing Systems, 2018) [Artigo]
    Multi-target regression (MTR) regards predictive problems with multiple numerical targets. To solve this, machine learning techniques can model solutions treating each target as a separated problem based only on the input ...
  • Detection of human, legitimate bot, and malicious bot in online social networks based on wavelets

    Barbon, Sylvio; Campos, Gabriel F.C.; Tavares, Gabriel M.; Igawa, Rodrigo A.; Proença, Mario L.; Guido, Rodrigo Capobianco Autor UNESP (ACM Transactions on Multimedia Computing, Communications and Applications, 2018) [Artigo]
    Social interactions take place in environments that influence people's behaviours and perceptions. Nowadays, the users of Online Social Network (OSN) generate a massive amount of content based on social interactions. ...

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