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Gait Recognition Based on Deep Learning: A Survey

ACM computing surveys, 2023-03, Vol.55 (2), p.1-34

2023

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Intelligent Network Security Monitoring Based on Optimum-Path Forest Clustering

IEEE network, 2019-03, Vol.33 (2), p.126-131

2019

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Layer-selective deep representation to improve esophageal cancer classification

Medical & biological engineering & computing, 2024-06

2024

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Facial expressions to identify post-stroke: A pilot study

Computer methods and programs in biomedicine, 2024-06, Vol.250, p.108195-108195, Article 108195

2024

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Computer-assisted Parkinson's disease diagnosis using fuzzy optimum- path forest and Restricted Boltzmann Machines

Computers in biology and medicine, 2021-04, Vol.131, p.104260-104260, Article 104260

2021

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Assisting Barrett's esophagus identification using endoscopic data augmentation based on Generative Adversarial Networks

Computers in biology and medicine, 2020-11, Vol.126, p.104029-104029, Article 104029

2020

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DeepCraftFuse: visual and deeply-learnable features work better together for esophageal cancer detection in patients with Barrett’s esophagus

Neural computing & applications, 2024-06, Vol.36 (18), p.10445-10459

2024

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Barrett’s esophagus analysis using infinity Restricted Boltzmann Machines

Journal of visual communication and image representation, 2019-02, Vol.59, p.475-485

2019

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A review of deep learning‐based approaches for deepfake content detection

Expert systems, 2024-08, Vol.41 (8), p.n/a

2024

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FEMa-FS: Finite Element Machines for Feature Selection

2022 26th International Conference on Pattern Recognition (ICPR), 2022, p.1784-1791

2022

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Parkinson’s Disease Identification Using Restricted Boltzmann Machines

Computer Analysis of Images and Patterns, p.70-80

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Unsupervised Breast Masses Classification through Optimum-Path Forest

2015 IEEE 28th International Symposium on Computer-Based Medical Systems, 2015, p.238-243

2015

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Multimodal audio-visual information fusion using canonical-correlated Graph Neural Network for energy-efficient speech enhancement

Information fusion, 2023-02, Vol.90, p.1-11

2023

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A comprehensive study among distance measures on supervised optimum-path forest classification

Applied soft computing, 2024-10, Vol.164, p.112021, Article 112021

2024

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A binary particle swarm optimization-based pruning approach for environmentally sustainable and robust CNNs

Neurocomputing (Amsterdam), 2024-12, Vol.608, p.128378, Article 128378

2024

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

IEEE transactions on fuzzy systems, 2020-12, Vol.28 (12), p.3076-3086

2020

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DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, p.2843-2846

2021

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Deep Boltzmann Machines Using Adaptive Temperatures

Computer Analysis of Images and Patterns, p.172-183

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Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization

Biomedical signal processing and control, 2024-08, Vol.94, p.106263, Article 106263

2024

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A critical literature survey and prospects on tampering and anomaly detection in image data

Applied soft computing, 2020-12, Vol.97, p.106727, Article 106727

2020

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Intelligent IoT security monitoring based on fuzzy optimum-path forest classifier

Soft computing (Berlin, Germany), 2023-04, Vol.27 (7), p.4279-4288

2023

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ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization

2022 29th International Conference on Systems, Signals and Image Processing (IWSSIP), 2022, Vol.CFP2255E-ART, p.1-4

2022

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

2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021, p.01-08

2021

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An End-to-End Approach for Seam Carving Detection Using Deep Neural Networks

Pattern Recognition and Image Analysis, p.447-457

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

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, p.109-118

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Gait Recognition Based on Deep Learning: A Survey

Intelligent Network Security Monitoring Based on Optimum-Path Forest Clustering

Layer-selective deep representation to improve esophageal cancer classification

Facial expressions to identify post-stroke: A pilot study

Computer-assisted Parkinson's disease diagnosis using fuzzy optimum- path forest and Restricted Boltzmann Machines

Assisting Barrett's esophagus identification using endoscopic data augmentation based on Generative Adversarial Networks

DeepCraftFuse: visual and deeply-learnable features work better together for esophageal cancer detection in patients with Barrett’s esophagus

Barrett’s esophagus analysis using infinity Restricted Boltzmann Machines

A review of deep learning‐based approaches for deepfake content detection

FEMa-FS: Finite Element Machines for Feature Selection

Parkinson’s Disease Identification Using Restricted Boltzmann Machines

Unsupervised Breast Masses Classification through Optimum-Path Forest

Multimodal audio-visual information fusion using canonical-correlated Graph Neural Network for energy-efficient speech enhancement

A comprehensive study among distance measures on supervised optimum-path forest classification

A binary particle swarm optimization-based pruning approach for environmentally sustainable and robust CNNs

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

DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification

Deep Boltzmann Machines Using Adaptive Temperatures

Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization

A critical literature survey and prospects on tampering and anomaly detection in image data

Intelligent IoT security monitoring based on fuzzy optimum-path forest classifier

ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization

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

An End-to-End Approach for Seam Carving Detection Using Deep Neural Networks

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

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