Search Results - "Fujita, Hamido"

Computer Aided detection for fibrillations and flutters using deep convolutional neural network by Fujita, Hamido, Cimr, Dalibor

“…Fibrillations and flutters are serious diseases influence the normal functioning of the heart. Among the most frequently occurring heart disorders belong…”
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A study of graph-based system for multi-view clustering by Wang, Hao, Yang, Yan, Liu, Bing, Fujita, Hamido

“…This paper studies clustering of multi-view data, known as multi-view clustering. Among existing multi-view clustering methods, one representative category of…”
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Multilingual evaluation of pre-processing for BERT-based sentiment analysis of tweets by Pota, Marco, Ventura, Mirko, Fujita, Hamido, Esposito, Massimo

“…•Sentiment analysis of tweets by a state-of-the-art classification model (BERT).•Evaluation of tweet pre-processing, to avoid noise and exploit hidden…”
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Forecasting of COVID19 per regions using ARIMA models and polynomial functions by Hernandez-Matamoros, Andres, Fujita, Hamido, Hayashi, Toshitaka, Perez-Meana, Hector

“…COVID-2019 is a global threat, for this reason around the world, researches have been focused on topics such as to detect it, prevent it, cure it, and predict…”
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Picture fuzzy interactional partitioned Heronian mean aggregation operators: an application to MADM process by Lin, Mingwei, Li, Xinmei, Chen, Riqing, Fujita, Hamido, Lin, Jian

“…The picture fuzzy sets (PFSs) state or model the voting information accurately without information loss. However, their existing operational laws usually…”
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A hybrid approach to the sentiment analysis problem at the sentence level by Appel, Orestes, Chiclana, Francisco, Carter, Jenny, Fujita, Hamido

“…The objective of this article is to present a hybrid approach to the Sentiment Analysis problem at the sentence level. This new method uses natural language…”
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A novel approach to create synthetic biomedical signals using BiRNN by Hernandez-Matamoros, Andres, Fujita, Hamido, Perez-Meana, Hector

“…Human health is threatened by several diseases for this reason automated medical diagnosis systems has been developed several years ago. These systems need…”
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Less complexity one-class classification approach using construction error of convolutional image transformation network by Hayashi, Toshitaka, Fujita, Hamido, Hernandez-Matamoros, Andres

“…One-class classification is a machine learning problem, where training data has only one class. The objective is to determine if the input data is seen class…”
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Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals by Acharya, U. Rajendra, Fujita, Hamido, Oh, Shu Lih, Hagiwara, Yuki, Tan, Jen Hong, Adam, Muhammad

“…•Classification of normal and MI ECG beats.•With and without noise ECG beats are considered.•Convolutional neural network is employed.•R peak detection is not…”
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Consensus reaching in social network group decision making: Research paradigms and challenges by Dong, Yucheng, Zha, Quanbo, Zhang, Hengjie, Kou, Gang, Fujita, Hamido, Chiclana, Francisco, Herrera-Viedma, Enrique

“…•A review of the consensus processes in social network group decision making is presented.•Two approaches are identified: consensus based on trust…”
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Parallel attribute reduction in dominance-based neighborhood rough set by Chen, Hongmei, Li, Tianrui, Cai, Yong, Luo, Chuan, Fujita, Hamido

“…The amount of data collected from different real-world applications is increasing rapidly. When the volume of data is too large to be loaded to memory, it may…”
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A sparse graph wavelet convolution neural network for video-based person re-identification by Yao, Yingmao, Jiang, Xiaoyan, Fujita, Hamido, Fang, Zhijun

“…•We propose an adaptive graph generation module to capture the semantic relationship between different patches across frames to solve the short time occlusion…”
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Directional correlation coefficient measures for Pythagorean fuzzy sets: their applications to medical diagnosis and cluster analysis by Lin, Mingwei, Huang, Chao, Chen, Riqing, Fujita, Hamido, Wang, Xing

“…Compared to the intuitionistic fuzzy sets, the Pythagorean fuzzy sets (PFSs) can provide the decision makers with more freedom to express their evaluation…”
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Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images by Raghavendra, U, Fujita, Hamido, Bhandary, Sulatha V, Gudigar, Anjan, Tan, Jen Hong, Acharya, U Rajendra

“…•An eighteen layer CNN framework is proposed for glaucoma diagnosis.•Used 1426 fundus images (normal: 589 and glaucoma: 837).•Attained accuracy of 98.13%,…”
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An evolutionary gravitational search-based feature selection by Taradeh, Mohammad, Mafarja, Majdi, Heidari, Ali Asghar, Faris, Hossam, Aljarah, Ibrahim, Mirjalili, Seyedali, Fujita, Hamido

“…•Gravitational Search Algorithm (GSA) was used as a search strategy in a Feature Selection approach.•Crossover and Mutation evolutionary operators were used to…”
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An efficient selector for multi-granularity attribute reduction by Liu, Keyu, Yang, Xibei, Fujita, Hamido, Liu, Dun, Yang, Xin, Qian, Yuhua

“…•Multi-granularity is considered in the attribute reduction for improving classification performances.•Multi-granularity attribute selector is proposed to…”
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Decision support system for arrhythmia prediction using convolutional neural network structure without preprocessing by Fujita, Hamido, Cimr, Dalibor

“…Arrhythmia is a disease-influencing heart and is manifested by an irregular heartbeat. Atrial fibrillation (A f i b ), atrial flutter (A f l ), and ventricular…”
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Learning reinforced attentional representation for end-to-end visual tracking by Gao, Peng, Zhang, Qiquan, Wang, Fei, Xiao, Liyi, Fujita, Hamido, Zhang, Yan

“…Although numerous recent tracking approaches have made tremendous advances in the last decade, achieving high-performance visual tracking remains a challenge…”
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Posterior probability based ensemble strategy using optimizing decision directed acyclic graph for multi-class classification by Zhou, Ligang, Fujita, Hamido

“…Ensemble strategy is important to develop a decomposition and ensemble method for multi-class classification problems. Most existing ensemble strategies use…”
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Using artificial intelligence techniques for COVID-19 genome analysis by Nawaz, M. Saqib, Fournier-Viger, Philippe, Shojaee, Abbas, Fujita, Hamido

“…The genome of the novel coronavirus (COVID-19) disease was first sequenced in January 2020, approximately a month after its emergence in Wuhan, capital of…”
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