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Computational methods for pigmented skin lesion classification in images: review and future trends

Neural computing & applications, 2018-02, Vol.29 (3), p.613-636

2018

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Internet of Things: A survey on machine learning-based intrusion detection approaches

Computer networks (Amsterdam, Netherlands : 1999), 2019-03, Vol.151, p.147-157

2019

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Computational methods for the image segmentation of pigmented skin lesions: a review

Computer methods and programs in biomedicine, 2016-07, Vol.131, p.127-141

2016

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EEG-based person identification through Binary Flower Pollination Algorithm

Expert systems with applications, 2016-11, Vol.62, p.81-90

2016

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Machine Learning Algorithms for Automatic Classification of Marmoset Vocalizations

PloS one, 2016-09, Vol.11 (9), p.e0163041-e0163041

2016

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A new computer vision-based approach to aid the diagnosis of parkinson's disease

Computer methods and programs in biomedicine, 2016-11, Vol.136, p.79-88

2016

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Meta‐heuristic multi‐ and many‐objective optimization techniques for solution of machine learning problems

Expert systems, 2017-12, Vol.34 (6), p.n/a

2017

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ECG arrhythmia classification based on optimum-path forest

Expert systems with applications, 2013-07, Vol.40 (9), p.3561-3573

2013

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Robust automated cardiac arrhythmia detection in ECG beat signals

Neural computing & applications, 2018-02, Vol.29 (3), p.679-693

2018

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EEG Channel Selection Based User Identification via Improved Flower Pollination Algorithm

Sensors (Basel, Switzerland), 2022-03, Vol.22 (6), p.2092

2022

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A survey on computer-assisted Parkinson's Disease diagnosis

Artificial intelligence in medicine, 2019-04, Vol.95, p.48-63

2019

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Explaining COVID-19 diagnosis with Taylor decompositions

Neural computing & applications, 2023-10, Vol.35 (30), p.22087-22100

2023

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Handling dropout probability estimation in convolution neural networks using meta-heuristics

Soft computing (Berlin, Germany), 2018-09, Vol.22 (18), p.6147-6156

2018

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Efficient supervised optimum-path forest classification for large datasets

Pattern recognition, 2012, Vol.45 (1), p.512-520

2012

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TITAN: A LighTweIght Temporal Attention Network for Remote Sensing Image Change Detection

IEEE geoscience and remote sensing letters, 2023, Vol.20, p.1-5

2023

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EEG signal classification for epilepsy diagnosis via optimum path forest – A systematic assessment

Neurocomputing (Amsterdam), 2014-07, Vol.136, p.103-123

2014

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Convolutional Neural Networks for the evaluation of cancer in Barrett's esophagus: Explainable AI to lighten up the black-box

Computers in biology and medicine, 2021-08, Vol.135, p.104578-104578, Article 104578

2021

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Tabular data augmentation for video-based detection of hypomimia in Parkinson’s disease

Computer methods and programs in biomedicine, 2023-10, Vol.240, p.107713-107713, Article 107713

2023

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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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Error-Correcting Mean-Teacher: Corrections instead of consistency-targets applied to semi-supervised medical image segmentation

Computers in biology and medicine, 2023-03, Vol.154, p.106585-106585, Article 106585

2023

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Bag of Samplings for computer-assisted Parkinson's disease diagnosis based on Recurrent Neural Networks

Computers in biology and medicine, 2019-12, Vol.115, p.103477-103477, Article 103477

2019

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A survey on Barrett's esophagus analysis using machine learning

Computers in biology and medicine, 2018-05, Vol.96, p.203-213

2018

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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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Artificial intelligence for oral cancer diagnosis: What are the possibilities?

Oral oncology, 2022-11, Vol.134, p.106117-106117, Article 106117

2022

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A survey on text generation using generative adversarial networks

Pattern recognition, 2021-11, Vol.119, p.108098, Article 108098

2021

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Computational methods for pigmented skin lesion classification in images: review and future trends

Internet of Things: A survey on machine learning-based intrusion detection approaches

Computational methods for the image segmentation of pigmented skin lesions: a review

EEG-based person identification through Binary Flower Pollination Algorithm

Machine Learning Algorithms for Automatic Classification of Marmoset Vocalizations

A new computer vision-based approach to aid the diagnosis of parkinson's disease

Meta‐heuristic multi‐ and many‐objective optimization techniques for solution of machine learning problems

ECG arrhythmia classification based on optimum-path forest

Robust automated cardiac arrhythmia detection in ECG beat signals

EEG Channel Selection Based User Identification via Improved Flower Pollination Algorithm

A survey on computer-assisted Parkinson's Disease diagnosis

Explaining COVID-19 diagnosis with Taylor decompositions

Handling dropout probability estimation in convolution neural networks using meta-heuristics

Efficient supervised optimum-path forest classification for large datasets

TITAN: A LighTweIght Temporal Attention Network for Remote Sensing Image Change Detection

EEG signal classification for epilepsy diagnosis via optimum path forest – A systematic assessment

Convolutional Neural Networks for the evaluation of cancer in Barrett's esophagus: Explainable AI to lighten up the black-box

Tabular data augmentation for video-based detection of hypomimia in Parkinson’s disease

Facial expressions to identify post-stroke: A pilot study

Error-Correcting Mean-Teacher: Corrections instead of consistency-targets applied to semi-supervised medical image segmentation

Bag of Samplings for computer-assisted Parkinson's disease diagnosis based on Recurrent Neural Networks

A survey on Barrett's esophagus analysis using machine learning

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

Artificial intelligence for oral cancer diagnosis: What are the possibilities?

A survey on text generation using generative adversarial networks

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