Luca Parisi
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View article: Bilateral continuous thoracic paravertebral block for chronic pancreatitis pain management
Bilateral continuous thoracic paravertebral block for chronic pancreatitis pain management Open
Thoracic paravertebral (TPV) block is a technique that has been shown to be effective for both the prevention and treatment of chronic pain. We report the case of a 42-year-old man with persistent chronic postoperative pain due to a pancre…
View article: A Novel Head-Mounted Time-of-Flight Sensor Array for the Visually Impaired to Enhance Real-Time Spatial Awareness
A Novel Head-Mounted Time-of-Flight Sensor Array for the Visually Impaired to Enhance Real-Time Spatial Awareness Open
A novel head-mounted assistive device was designed, developed, and validated to enhance spatial awareness for individuals with visual impairments by integrating Time-of-Flight (ToF) sensors and haptic feedback. The device leverages three V…
View article: A novel integrative multimodal classifier to enhance the diagnosis of Parkinson’s disease
A novel integrative multimodal classifier to enhance the diagnosis of Parkinson’s disease Open
Parkinson’s disease (PD) is a complex, progressive neurodegenerative disorder with high heterogeneity, making early diagnosis difficult. Early detection and intervention are crucial for slowing PD progression. Understanding PD’s diverse pa…
View article: Funnel Random Forest: Inliers-Focused Ensemble Learning for Improved Prognostics of Heart Failure
Funnel Random Forest: Inliers-Focused Ensemble Learning for Improved Prognostics of Heart Failure Open
This study introduces a novel Funnel Random Forest (FRF) methodology to improve the accuracy and reliability of clinical prognostics, particularly for patients with heart failure. FRF identifies outliers using information theory-based metr…
View article: A Review on Explainable Machine Learning-Driven Systems to Detect Parkinson's Disease from Speech Signals
A Review on Explainable Machine Learning-Driven Systems to Detect Parkinson's Disease from Speech Signals Open
View article: 3D physiologically-informed deep learning for drug discovery of a novel vascular endothelial growth factor receptor-2 (VEGFR2)
3D physiologically-informed deep learning for drug discovery of a novel vascular endothelial growth factor receptor-2 (VEGFR2) Open
View article: Optimal evolutionary framework-based activation function for image classification
Optimal evolutionary framework-based activation function for image classification Open
Typically, supervised Machine Learning (ML)-based image classifiers leverage algorithms derived from either Artificial Neural Networks (ANNs) or optimal separating hyperplane (OSH)-based algorithms. However, despite recent progress has bee…
View article: An Activation-Driven K-Nearest Neighbour to Enhance Imbalanced Data Classification
An Activation-Driven K-Nearest Neighbour to Enhance Imbalanced Data Classification Open
View article: Quantum droplets in imbalanced atomic mixtures
Quantum droplets in imbalanced atomic mixtures Open
Quantum droplets are a quantum analog to classical fluid droplets in that they are self-bound and display liquid-like properties—such as incompressibility and surface tension—though their stability is the result of quantum fluctuations. On…
View article: Innovative feature-driven machine learning and deep learning for finance, education, and healthcare
Innovative feature-driven machine learning and deep learning for finance, education, and healthcare Open
View article: Optimal Machine Learning- and Deep Learning- driven algorithms for predicting the future value of investments: A systematic review and meta-analysis
Optimal Machine Learning- and Deep Learning- driven algorithms for predicting the future value of investments: A systematic review and meta-analysis Open
The COVID-19 pandemic and the increasing competitive landscape have led asset management companies to consider investing in applying Artificial Intelligence (AI)-driven technologies to minimise the risk and maximise the profitability of th…
View article: Quantum Monte Carlo-based density functional for one-dimensional Bose-Bose mixtures
Quantum Monte Carlo-based density functional for one-dimensional Bose-Bose mixtures Open
We propose and benchmark a Gross-Pitaevskii-like equation for two-component Bose mixtures with competing interactions in 1D. Our approach follows the density-functional theory with the energy functional based on the exact Quantum Monte Car…
View article: Quantum Droplets in Imbalanced Atomic Mixtures
Quantum Droplets in Imbalanced Atomic Mixtures Open
Quantum droplets are a quantum analogue to classical fluid droplets in that they are self-bound and display liquid-like properties -- such as incompressibility and surface tension -- though their stability is the result of quantum fluctuat…
View article: M-ar-K-PCA and M-ar-K-FastICA: Robust Feature Extraction for Classification of Non-Gaussian and Entropic Data
M-ar-K-PCA and M-ar-K-FastICA: Robust Feature Extraction for Classification of Non-Gaussian and Entropic Data Open
The kernel trick has enabled dimensionality reduction techniques to capture a higher extent of non-linearity in the data; however, reproducible, open-source kernels to aid with feature extraction are still limited and are not reliable when…
View article: Performance Management in the Virtual Workplace During the COVID-19 Pandemic and Beyond
Performance Management in the Virtual Workplace During the COVID-19 Pandemic and Beyond Open
Previous research has either neglected to consider misbehaviour or misconduct in the virtual workplace during the current COVID-19 pandemic or highlighted some challenges encountered with remote working or work from home but in isolation, …
View article: Key Challenges and Strategies Towards a Sustainable Business Environment by 2030
Key Challenges and Strategies Towards a Sustainable Business Environment by 2030 Open
Existing research has focused on discussing various issues in isolation, e.g., climate change or deglobalisation, without capturing the geo-political, legal, socio-economic, and technological implications in a holistic manner, especially i…
View article: Funnel Random Forest: Inliers-Focused Ensemble Learning for Improved Prognostics of Heart Failure
Funnel Random Forest: Inliers-Focused Ensemble Learning for Improved Prognostics of Heart Failure Open
View article: Quantum ReLU activation for Convolutional Neural Networks to improve diagnosis of Parkinson’s disease and COVID-19
Quantum ReLU activation for Convolutional Neural Networks to improve diagnosis of Parkinson’s disease and COVID-19 Open
View article: M-ar-K-Fast Independent Component Analysis
M-ar-K-Fast Independent Component Analysis Open
This study presents the m-arcsinh Kernel ('m-ar-K') Fast Independent Component Analysis ('FastICA') method ('m-ar-K-FastICA') for feature extraction. The kernel trick has enabled dimensionality reduction techniques to capture a higher exte…
View article: m-ark-Support Vector Machine for Early Detection of Parkinson’s Disease from Speech Signals
m-ark-Support Vector Machine for Early Detection of Parkinson’s Disease from Speech Signals Open
Recent advances in the state-of-the-art open-source kernel functions for support vector machines (SVMs) have widened the choices of benchmark kernels for Machine Learning (ML)-based classification. However, it is still challenging to achie…
View article: Ηyper-sinh-Convolutional Neural Network for Early Detection of Parkinson’s Disease from Spiral Drawings
Ηyper-sinh-Convolutional Neural Network for Early Detection of Parkinson’s Disease from Spiral Drawings Open
Modern developments in the state-of-the-art open-source activation functions for Convolutional Neural Networks (CNNs) have broadened the selection of benchmark activations for Deep Learning (DL)-aided classification. Nevertheless, achievin…
View article: Supervised Machine Learning for Aiding Diagnosis of Knee Osteoarthritis: A Systematic Review and Meta-Analysis
Supervised Machine Learning for Aiding Diagnosis of Knee Osteoarthritis: A Systematic Review and Meta-Analysis Open
Background Knee osteoarthritis (OA) remains a leading aetiology of disability worldwide. Clinical assessment of such knee-related conditions has improved with recent advances in gait analysis. Despite being a gold standard method, g…
View article: Supervised Machine Learning for Aiding Diagnosis of Knee Osteoarthritis: A Systematic Review and Meta-Analysis
Supervised Machine Learning for Aiding Diagnosis of Knee Osteoarthritis: A Systematic Review and Meta-Analysis Open
Background Knee osteoarthritis (OA) remains a leading aetiology of disability worldwide. Clinical assessment of such knee-related conditions has improved with recent advances in gait analysis. Despite being a gold standard method, g…
View article: QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnostics
QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnostics Open
The ReLU activation function (AF) has been extensively applied in deep neural networks, in particular Convolutional Neural Networks (CNN), for image classification despite its unresolved dying ReLU problem, which poses challenges to reliab…
View article: m-arcsinh: An Efficient and Reliable Function for SVM and MLP in scikit-learn
m-arcsinh: An Efficient and Reliable Function for SVM and MLP in scikit-learn Open
This paper describes the 'm-arcsinh', a modified ('m-') version of the inverse hyperbolic sine function ('arcsinh'). Kernel and activation functions enable Machine Learning (ML)-based algorithms, such as Support Vector Machine (SVM) and Mu…
View article: Artificial Intelligence for Clinical Gait Diagnostics of Knee Osteoarthritis: An Evidence - based Review and Analysis
Artificial Intelligence for Clinical Gait Diagnostics of Knee Osteoarthritis: An Evidence - based Review and Analysis Open
Background Knee osteoarthritis (OA) remains a leading aetiology of disability worldwide. With recent advances in gait analysis, clinical assessment of such a knee-related condition has been improved. Although motion capture (mocap)…
View article: Artificial Intelligence for Clinical Gait Diagnostics of Knee Osteoarthritis: An Evidence - based Review and Analysis
Artificial Intelligence for Clinical Gait Diagnostics of Knee Osteoarthritis: An Evidence - based Review and Analysis Open
Background Knee osteoarthritis (OA) remains a leading aetiology of disability worldwide. With recent advances in gait analysis, clinical assessment of such a knee-related condition has been improved. Although motion capture (mocap)…
View article: Rehabilitative treatment proposals in pediatric non-verbal syndrome
Rehabilitative treatment proposals in pediatric non-verbal syndrome Open
View article: Towards a Software Product Line for Machine Learning Workflows: Focus on Supporting Evolution
Towards a Software Product Line for Machine Learning Workflows: Focus on Supporting Evolution Open
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View article: A Novel Comparison of Artificial Intelligence Methods for Diagnosing Knee Osteoarthritis
A Novel Comparison of Artificial Intelligence Methods for Diagnosing Knee Osteoarthritis Open