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A New Model for Brain Tumor Detection Using Ensemble Transfer Learning and Quantum Variational Classifier

Computational intelligence and neuroscience, 2022, Vol.2022, p.3236305-13

2022

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Classification of Multiclass Histopathological Breast Images Using Residual Deep Learning

Computational intelligence and neuroscience, 2022-10, Vol.2022, p.1-10

2022

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A Multimodel-Based Deep Learning Framework for Short Text Multiclass Classification with the Imbalanced and Extremely Small Data Set

Computational intelligence and neuroscience, 2022-10, Vol.2022, p.1-12

2022

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Multi-Class Skin Problem Classification Using Deep Generative Adversarial Network (DGAN)

Computational intelligence and neuroscience, 2022, Vol.2022, p.1797471-13

2022

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Investigation of the Differential Power of Young’s Internet Addiction Questionnaire Using the Decision Stump Tree

Computational intelligence and neuroscience, 2022-10, Vol.2022, p.1-7

2022

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Diagnosis of COVID-19 Disease in Chest CT-Scan Images Based on Combination of Low-Level Texture Analysis and MobileNetV2 Features

Computational intelligence and neuroscience, 2022, Vol.2022, p.1658615-13

2022

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Deep Learning for COVID-19 Diagnosis from CT Images

Applied sciences, 2021-09, Vol.11 (17), p.8227

2021

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On the Effectiveness of Leukocytes Classification Methods in a Real Application Scenario

AI (Basel), 2021-09, Vol.2 (3), p.394-412

2021

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On the Efficacy of Handcrafted and Deep Features for Seed Image Classification

Journal of imaging, 2021-08, Vol.7 (9), p.171

2021

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An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis

Journal of imaging, 2022-03, Vol.8 (3), p.66

2022

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Using Artificial Intelligence for COVID-19 Detection in Blood Exams: A Comparative Analysis

IEEE access, 2022, Vol.10, p.1-1

2022

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Gastric Cancer Image Classification: A Comparative Analysis and Feature Fusion Strategies

Journal of imaging, 2024-08, Vol.10 (8), p.195

2024

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Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence

IEEE access, 2022, Vol.10, p.122612-122626

2022

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YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection

Journal of imaging, 2023-11, Vol.9 (12), p.266

2023

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On The Potential of Image Moments for Medical Diagnosis

Journal of imaging, 2023-03, Vol.9 (3), p.70

2023

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An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation

Information (Basel), 2024-06, Vol.15 (6), p.360

2024

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A novel deep learning based approach for seed image classification and retrieval

Computers and electronics in agriculture, 2021-08, Vol.187, p.106269, Article 106269

2021

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Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method

Computers in biology and medicine, 2022-02, Vol.141, p.105032-105032, Article 105032

2022

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Detecting coagulation time in cheese making by means of computer vision and machine learning techniques

Computers in industry, 2025-01, Vol.164, p.104173, Article 104173

2025

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Understanding cheese ripeness: An artificial intelligence-based approach for hierarchical classification

Knowledge-based systems, 2024-07, Vol.295, p.111833, Article 111833

2024

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A leucocytes count system from blood smear images: Segmentation and counting of white blood cells based on learning by sampling

Machine vision and applications, 2016-11, Vol.27 (8), p.1151-1160

2016

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Feature Selection in Mobile Activity Recognition: A Comparative Study

2021 22nd IEEE International Conference on Mobile Data Management (MDM), 2021, p.181-186

2021

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TECD: A Transformer Encoder Convolutional Decoder for High-Dimensional Biomedical Data

Computational Science and Its Applications – ICCSA 2023 Workshops, p.225-240

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Learning by Sampling for White Blood Cells Segmentation

Image Analysis and Processing — ICIAP 2015, p.557-567

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A Multiple Classifier Learning by Sampling System for White Blood Cells Segmentation

Computer Analysis of Images and Patterns, 2015, Vol.9257, p.415-425

2015

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A New Model for Brain Tumor Detection Using Ensemble Transfer Learning and Quantum Variational Classifier

Classification of Multiclass Histopathological Breast Images Using Residual Deep Learning

A Multimodel-Based Deep Learning Framework for Short Text Multiclass Classification with the Imbalanced and Extremely Small Data Set

Multi-Class Skin Problem Classification Using Deep Generative Adversarial Network (DGAN)

Investigation of the Differential Power of Young’s Internet Addiction Questionnaire Using the Decision Stump Tree

Diagnosis of COVID-19 Disease in Chest CT-Scan Images Based on Combination of Low-Level Texture Analysis and MobileNetV2 Features

Deep Learning for COVID-19 Diagnosis from CT Images

On the Effectiveness of Leukocytes Classification Methods in a Real Application Scenario

On the Efficacy of Handcrafted and Deep Features for Seed Image Classification

An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis

Using Artificial Intelligence for COVID-19 Detection in Blood Exams: A Comparative Analysis

Gastric Cancer Image Classification: A Comparative Analysis and Feature Fusion Strategies

Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence

YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection

On The Potential of Image Moments for Medical Diagnosis

An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation

A novel deep learning based approach for seed image classification and retrieval

Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method

Detecting coagulation time in cheese making by means of computer vision and machine learning techniques

Understanding cheese ripeness: An artificial intelligence-based approach for hierarchical classification

A leucocytes count system from blood smear images: Segmentation and counting of white blood cells based on learning by sampling

Feature Selection in Mobile Activity Recognition: A Comparative Study

TECD: A Transformer Encoder Convolutional Decoder for High-Dimensional Biomedical Data

Learning by Sampling for White Blood Cells Segmentation

A Multiple Classifier Learning by Sampling System for White Blood Cells Segmentation

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