9 documents found, page 1 of 1

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Intestinal Parasites Classification Using Deep Belief Networks

Roder, Mateus [UNESP]; Passos, Leandro A. [UNESP]; Ribeiro, Luiz Carlos Felix [UNESP]; Benato, Barbara Caroline; Falcão, Alexandre Xavier

Made available in DSpace on 2022-05-01T01:25:44Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-01-01; Currently, approximately 4 billion people are infected by intestinal parasites worldwide. Diseases caused by such infections constitute a public health problem in most tropical countries, leading to physical and mental disorders, and even death to children and immunodeficient individuals. Although subje...

Date: 2022   |   Origin: Oasisbr

Enhancing Hyper-to-Real Space Projections Through Euclidean Norm Meta-heuristic...

Ribeiro, Luiz Carlos Felix [UNESP]; Roder, Mateus [UNESP]; de Rosa, Gustavo H. [UNESP]; Passos, Leandro A. [UNESP]; Papa, João P. [UNESP]

Made available in DSpace on 2022-05-01T13:41:31Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01; The continuous computational power growth in the last decades has made solving several optimization problems significant to humankind a tractable task; however, tackling some of them remains a challenge due to the overwhelming amount of candidate solutions to be evaluated, even by using sophisticated al...

Date: 2022   |   Origin: Oasisbr

From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief...

Roder, Mateus [UNESP]; Almeida, Jurandy; De Rosa, Gustavo H. [UNESP]; Passos, Leandro A. [UNESP]; Rossi, Andre L.D. [UNESP]; Papa, Joao P. [UNESP]

Made available in DSpace on 2022-05-01T15:13:34Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01; In the last decade, exponential data growth supplied machine learning-based algorithms' capacity and enabled their usage in daily-life activities. Additionally, such an improvement is partially explained due to the advent of deep learning techniques, i.e., stacks of simple architectures that end up in m...

Date: 2022   |   Origin: Oasisbr

A critical literature survey and prospects on tampering and anomaly detection i...

da Costa, Kelton A.P. [UNESP]; Papa, João P. [UNESP]; Passos, Leandro A. [UNESP]; Colombo, Danilo; Ser, Javier Del; Muhammad, Khan

Made available in DSpace on 2021-06-25T10:34:40Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-12-01; Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq); Petrobras; Eusko Jaurlaritza; Concernings related to image security have increased in the last years. One of the main reasons relies on the replacement of conventional photography to digital images, once the development of new technol...

Date: 2021   |   Origin: Oasisbr

Assisting Barrett's esophagus identification using endoscopic data augmentation...

de Souza, Luis A.; Passos, Leandro A. [UNESP]; Mendel, Robert; Ebigbo, Alanna; Probst, Andreas; Messmann, Helmut; Palm, Christoph; Papa, João P. [UNESP]

Made available in DSpace on 2021-06-25T11:05:20Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-11-01; Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq); Alexander von Humboldt-Stiftung; Barrett's esophagus figured a swift rise in the number of cases in the past years. Although traditional diagnosis methods offered a vital ...

Date: 2021   |   Origin: Oasisbr

A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Bel...

Roder, Mateus [UNESP]; Passos, Leandro A. [UNESP]; Ribeiro, Luiz Carlos Felix [UNESP]; Pereira, Clayton [UNESP]; Papa, João Paulo [UNESP]

Made available in DSpace on 2021-06-25T11:07:37Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-01-01; With the advent of deep learning, the number of works proposing new methods or improving existent ones has grown exponentially in the last years. In this scenario, “very deep” models were emerging, once they were expected to extract more intrinsic and abstract features while supporting a better performa...

Date: 2021   |   Origin: Oasisbr

Fine-tuning Generative Adversarial Networks using Metaheuristics: A Case Study ...

Souza, Luis A.; Passos, Leandro A. [UNESP]; Mendel, Robert; Ebigbo, Alanna; Probst, Andreas; Messmann, Helmut; Palm, Christoph; Papa, João Paulo [UNESP]

Made available in DSpace on 2021-06-25T11:13:46Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01; Department of Computing São Carlos Federal University - UFSCar; Regensburg Medical Image Computing (ReMIC) Ostbayerische Technische Hochschule Regensburg (OTH Regensburg) – Germany; Department of Computing São Paulo State University - UNESP; Department of Gastroenterology University Hospital Augsburg – ...

Date: 2021   |   Origin: Oasisbr

Computer-assisted Parkinson's disease diagnosis using fuzzy optimum- path fores...

Souza, Renato W. R. de; Silva, Daniel S.; Passos, Leandro A. [UNESP]; Roder, Mateus [UNESP]; Santana, Marcos C. [UNESP]; Pinheiro, Placido R.

Made available in DSpace on 2021-06-25T12:41:59Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-04-01; Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq); Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); Parkinson's disease (PD) is a progressive neurodegenerative illness associated with motor skill disorders, affecting thousands of people, mainly elderly, worldwide. Since ...

Date: 2021   |   Origin: Oasisbr

A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic

Souza, Renato William R. de; Oliveira, Joao Vitor Chaves de; Passos, Leandro A. [UNESP]; Ding, Weiping; Papa, Joao P. [UNESP]

Made available in DSpace on 2021-06-25T22:04:47Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-12-01; Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq); Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); National Natural Science Foundation of China; Natural Science Foundation of Jiangsu Province; Six Talent Peaks Project of Jiangsu Province; Qing Lan Project of Jiangsu Pro...

Date: 2021   |   Origin: Oasisbr

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