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Breaking barriers in Candida spp. detection with Electronic Noses and artificial intelligence

Scientific reports, 2024-01, Vol.14 (1), p.956-956, Article 956

2024

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Quantifying the impact of uninformative features on the performance of supervised classification and dimensionality reduction algorithms

APL machine learning, 2023-12, Vol.1 (4), p.046118-046118-10

2023

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Convolution Optimization in Fire Classification

IEEE access, 2022, Vol.10, p.23642-23658

2022

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Morphological Skip-Gram: Replacing FastText characters n-gram with morphological knowledge

Inteligencia artificial, 2021-06, Vol.24 (67), p.1-17

2021

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HU-PageScan: a fully convolutional neural network for document page crop

IET image processing, 2020-12, Vol.14 (15), p.3890-3898

2020

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Multi-center Integrating Radiomics, Structured Reports, and Machine Learning Algorithms for Assisted Classification of COVID-19 in Lung Computed Tomography

Journal of medical and biological engineering, 2023, Vol.43 (2), p.156-162

2023

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Detecting abnormal logins by discovering anomalous links via graph transformers

Computers & security, 2024-09, Vol.144, p.103944, Article 103944

2024

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Gesture recognition: A review focusing on sign language in a mobile context

Expert systems with applications, 2018-08, Vol.103, p.159-183

2018

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PrAACT: Predictive Augmentative and Alternative Communication with Transformers

Expert systems with applications, 2024-04, Vol.240, p.122417, Article 122417

2024

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Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples

IEEE transaction on neural networks and learning systems, 2022-06, Vol.33 (6), p.2350-2364

2022

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QRNN: q -Generalized Random Neural Network

IEEE transaction on neural networks and learning systems, 2017-02, Vol.28 (2), p.383-390

2017

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Optimization Strategies for BERT-Based Named Entity Recognition

Intelligent Systems, p.80-94

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On machine learning and visual analysis for quality prediction of film metallization process

International journal of advanced manufacturing technology, 2023, Vol.124 (1-2), p.315-327

2023

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Enhancing batch normalized convolutional networks using displaced rectifier linear units: A systematic comparative study

Expert systems with applications, 2019-06, Vol.124, p.271-281

2019

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On the improvement of handwritten text line recognition with octave convolutional recurrent neural networks

International journal on document analysis and recognition, 2024-02

2024

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Multi-human Fall Detection and Localization in Videos

Computer vision and image understanding, 2022-07, Vol.220, p.103442, Article 103442

2022

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Intrusion Detection for Cyber-Physical Systems Using Generative Adversarial Networks in Fog Environment

IEEE internet of things journal, 2021-04, Vol.8 (8), p.6247-6256

2021

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PictoBERT: Transformers for next pictogram prediction

Expert systems with applications, 2022-09, Vol.202, p.117231, Article 117231

2022

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Hierarchical Attentional Hybrid Neural Networks for Document Classification

Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions, p.396-402

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Computational experiments with cellular-automata generated images reveal intrinsic limitations of convolutional neural networks on pattern recognition tasks

APL machine learning, 2024-09, Vol.2 (3)

2024

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A multi-protocol energy optimization method for an adaptable wireless MAC system through machine learning

Annales des télécommunications, 2023-12

2023

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Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition

Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions, p.646-657

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On the Impact of Interpretability Methods in Active Image Augmentation Method

Logic journal of the IGPL, 2022-07, Vol.30 (4), p.611-621

2022

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Exploring the Impact of Synthetic Data on Human Activity Recognition Tasks

Procedia computer science, 2023, Vol.222, p.656-665

2023

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Improving Deep Image Clustering with Spatial Transformer Layers

Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series, p.641-654

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Breaking barriers in Candida spp. detection with Electronic Noses and artificial intelligence

Quantifying the impact of uninformative features on the performance of supervised classification and dimensionality reduction algorithms

Convolution Optimization in Fire Classification

Morphological Skip-Gram: Replacing FastText characters n-gram with morphological knowledge

HU-PageScan: a fully convolutional neural network for document page crop

Multi-center Integrating Radiomics, Structured Reports, and Machine Learning Algorithms for Assisted Classification of COVID-19 in Lung Computed Tomography

Detecting abnormal logins by discovering anomalous links via graph transformers

Gesture recognition: A review focusing on sign language in a mobile context

PrAACT: Predictive Augmentative and Alternative Communication with Transformers

Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples

QRNN: q -Generalized Random Neural Network

Optimization Strategies for BERT-Based Named Entity Recognition

On machine learning and visual analysis for quality prediction of film metallization process

Enhancing batch normalized convolutional networks using displaced rectifier linear units: A systematic comparative study

On the improvement of handwritten text line recognition with octave convolutional recurrent neural networks

Multi-human Fall Detection and Localization in Videos

Intrusion Detection for Cyber-Physical Systems Using Generative Adversarial Networks in Fog Environment

PictoBERT: Transformers for next pictogram prediction

Hierarchical Attentional Hybrid Neural Networks for Document Classification

Computational experiments with cellular-automata generated images reveal intrinsic limitations of convolutional neural networks on pattern recognition tasks

A multi-protocol energy optimization method for an adaptable wireless MAC system through machine learning

Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition

On the Impact of Interpretability Methods in Active Image Augmentation Method

Exploring the Impact of Synthetic Data on Human Activity Recognition Tasks

Improving Deep Image Clustering with Spatial Transformer Layers

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