RSS 1.0Artigos - Ciência da Computação e Estatística - IBILCE
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Corpus-based Methodology for an Online Multilingual Collocations Dictionary: First Steps
Orenha-Ottaiano, Adriane
; ; ; ; ; Valêncio, Carlos Roberto ; Tenório, William (Proceedings of Electronic Lexicography in the 21st Century Conference, 2021) [Trabalho apresentado em evento]
This paper describes the first steps of a corpus-based methodology for the development of an online Platform for Multilingual Collocations Dictionaries (PLATCOL). The platform is aimed to be customized for different target ... -
Wavelets behind the scenes: Practical aspects, insights, and perspectives
Guido, Rodrigo Capobianco (Physics Reports, 2022) [Resenha]
Over the years, wavelet-based analyses have been responsible for remarkable achievements in physics and related sciences. Nevertheless, a deep inspection on wavelet-based strategies described in recent scientific papers, ... -
Interpretability, Reproducibility, and Replicability
; Guido, Rodrigo Capobianco; ; ; (IEEE Signal Processing Magazine, 2022) [Editorial]
Most of the work we do in signal processing these days is data driven. The shift from the more traditional and model-driven approaches to those that are data driven has also underlined the importance of explainability of ... -
Empirical mode decomposition applied to acoustic detection of a cicadid pest
; ; ; ; Guido, Rodrigo Capobianco (Computers and Electronics in Agriculture, 2022) [Artigo]
The sounds emitted by various insect species are highly specific and, thus, can be used as a way to acoustically characterize them. Consequently, acoustic insect detection has been widely studied by the scientific community ... -
Multidimensional shannon entropy (HM) as an approach to classify H&E colorectal images
Santos, Luiz Fernando Segato Dos; Rozendo, Guilherme Botazzo ; ; ; Longo, Leonardo Henrique Da Costa ; Neves, Leandro Alves (International Conference on Systems, Signals, and Image Processing, 2022) [Trabalho apresentado em evento]
In this work, we have proposed a method that combines multiscale and multidimensional approaches with Shannon entropy, named HM. The method was combined with other fractal and sample entropy techniques and tested on H&E ... -
Ensembles of fractal descriptors with multiple deep learned features for classification of histological images
Da Costa Longo, Leonardo Henrique; ; ; ; Dos Santos, Luiz Fernando Segato ; Neves, Leandro Alves (International Conference on Systems, Signals, and Image Processing, 2022) [Trabalho apresentado em evento]
In this paper, we propose an approach to study the ensemble of handcrafted and deep learned features, as well as possible templates for associating them for the classification of histological images. The handcrafted features ... -
Classification of H&E images exploring ensemble learning with two-stage feature selection
Tenguam, Jaqueline Junko; Da Costa Longo, Leonardo Henrique ; ; ; ; Neves, Leandro Alves (International Conference on Systems, Signals, and Image Processing, 2022) [Trabalho apresentado em evento]
In this work, an investigation based on ensemble learning is presented for the recognition of patterns in histological tissues stained with Hematoxylin and Eosin, representative of breast cancer, colorectal cancer, liver ... -
Percolation Features: An approach for evaluating fractal properties in colour images[Formula presented]
; Neves, Leandro Alves; da Costa Longo, Leonardo Henrique ; Rozendo, Guilherme Botazzo ; ; ; ; (Software Impacts, 2022) [Artigo]
Percolation is a physical phenomenon that describes the transport of fluids through porous media. We present a new approach for extracting local and global percolation features from RGB images. The proposed method is based ... -
Studies about Snake Peptides: A Review about Brazilian Contribution
Assis, Rhayane Alves; ; ; ; ; ; (Brazilian Archives of Biology and Technology, 2022) [Artigo]
The peptides present in snake venoms are studied because of their properties, constitutions, mechanisms of action and pharmacological potential. Recognizing this potential, the present study reports the contributions of ... -
Apriori-roaring: frequent pattern mining method based on compressed bitmaps
Colombo, Alexandre; Spolon, Roberta ; Junior, Aleardo Manacero ; Lobato, Renata Spolon ; (International Journal of Business Intelligence and Data Mining, 2022) [Artigo]
Association rule mining is one of the most common tasks in data analysis. It has a descriptive feature used to discover patterns in sets of data. Most existing approaches to data analysis have a constraint related to ... -
Sample Entropy Signatures: A new way to interpret SampEn values[Formula presented]
Rozendo, Guilherme Botazzo; ; ; ; ; ; Neves, Leandro Alves (Software Impacts, 2022) [Artigo]
We present the Sample Entropy Signatures method, which provides a new way to represent images via Sample entropy (SampEn). The proposed method defines texture signatures from multiple SampEn values obtained from combinations ... -
Classification of non-Hodgkin lymphomas based on sample entropy signatures[Formula presented]
Rozendo, Guilherme Botazzo; ; ; ; ; ; Neves, Leandro Alves (Expert Systems with Applications, 2022) [Resenha]
Computational systems to provide studies and diagnoses of non-Hodgkin's lymphomas have been increasingly developed to assist specialists in their decision-making. On the other hand, the approaches have not yet fully explored ... -
Early Identification of Abused Domains in TLD through Passive DNS Applying Machine Learning Techniques
Silva, Leandro Marcos da; Silveira, Marcos Rogério ; Cansian, Adriano Mauro ; (International Journal of Communication Networks and Information Security, 2022) [Artigo]
DNS is vital for the proper functioning of the Internet. However, users use this structure for domain registration and abuse. These domains are used as tools for these users to carry out the most varied attacks. Thus, early ... -
Faults in Cloud Environment
Lobato, Renata Spolon; Silva, Fabio Amorim da ; Spolon, Roberta ; Manacero Jr, Aleardo ; ; ; ; ; ; (Proceedings Of 2021 16th Iberian Conference On Information Systems And Technologies (cisti'2021), 2021) [Trabalho apresentado em evento]
Cloud computing is an area in great expansion in the recently years and have begin to be indispensable for greatest majority of world population, even for those who do not work directly on technical areas. One of the ... -
Explainability of Methods for Critical Information Extraction From Clinical Documents A survey of representative works
; ; Guido, Rodrigo Capobianco (Ieee Signal Processing Magazine, 2022) [Artigo]
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Feature Selection with Hybrid Bio-inspired Approach for Classifying Multi-idiom Social Media Sentiment Analysis
Silva, Luis Marcello Moraes; Valencio, Carlos Roberto ; Zafalon, Geraldo Francisco Donega ; ; ; ; ; (Iceis: Proceedings Of The 24th International Conference On Enterprise Information Systems - Vol 1, 2022) [Trabalho apresentado em evento]
Social media sentiment analysis consists on extracting information from users' comments. It can assist the decision-making process of companies, aid public health and security and even identify intentions and opinions about ... -
Detection of Newly Registered Malicious Domains through Passive DNS
Silveira, Marcos Rogerio; Silva, Leandro Marcos da ; Cansian, Adriano Mauro ; ; ; ; ; ; ; et al. (2021 Ieee International Conference On Big Data (big Data), 2021) [Trabalho apresentado em evento]
Due to the importance of DNS for the good functioning of the Internet, malicious users register domains for malicious purposes, such as the spreading of malware and the practice of phishing. In this work, an approach capable ... -
TRIAD: Whale Optimization Algorithm for 5G-IoT Resource Allocation Decision in Edge Computing
Lieira, Douglas Dias; Quessada, Matheus Sanches ; ; ; ; ; ; ; (Proceedings Of 2021 16th Iberian Conference On Information Systems And Technologies (cisti'2021), 2021) [Trabalho apresentado em evento]
The massive growth in the number of 5G-IoT devices circulating in the world has increased the demand for computing resources in recent years. That way, it is necessary to search for the development of new solutions or ... -
Mining negative rules: a literature review focusing on performance
Colombo, Alexandre; Spolon, Roberta ; Lobato, Renata Spolon ; Manacero Junior, Aleardo ; ; ; ; ; (Proceedings Of 2021 16th Iberian Conference On Information Systems And Technologies (cisti'2021), 2021) [Trabalho apresentado em evento]
Mining of frequent patterns and association rules is a Data Mining task that aims to determine consistent relationships among elements in a transaction database. Algorithms that consider the absence of elements perform the ... -
Modeling and simulation of tasks interactions using graphical interface
Peronaglio, Fernando F.; Manacero, Aleardo ; Lobato, Renata S. ; Spolon, Roberta ; ; ; ; ; (Proceedings Of 2021 16th Iberian Conference On Information Systems And Technologies (cisti'2021), 2021) [Trabalho apresentado em evento]
Concurrent processes are very important to the development of modern applications, where several tasks are performed in order to accomplish a certain activity. Unfortunately, many concurrent applications, including hard ...