IEEE

Evaluating Python Static Code Analysis Tools Using FAIR Principles

Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...
Journal of Medical Internet Research

Tensorial Principal Component Analysis in Detecting Temporal Trajectories of Purchase Patterns in Loyalty Card Data: Retrospective Cohort Study

Objective: This study aimed to use the modern tensorial principal component analysis (PCA) method to uncover the characteristics of health-related purchase patterns from loyalty card data. Another aim ...
GitHub

PyPLUTO: a data analysis Python package for the PLUTO code

PyPLUTO is a Python library which loads and plots the data obtain from the PLUTO code simulations. The aim of this package is to simplify some non-trivial python routines in order to quickly recover ...
IEEE

Tensor Robust Principal Component Analysis Based on Tensor Factorization and Total Variation

Abstract: Classical Tensor Robust Principal Component Analysis (TRPCA) usually adopts the Tensor Nuclear Norm (TNN) to characterize the low-rank property of tensors, which is applied to robust ...
The Lancet

Comparative efficacy and acceptability of pharmacological, psychological, and neurostimulatory interventions for ADHD in adults: a systematic review and component network meta ...

iDepartment of Psychiatry, Faculty of Medicine, University of Southampton, Southampton, UK jClinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, ...
GitHub

Python Data Analytics Portfolio Project

This project serves as a complete portfolio demonstrating my journey from Python fundamentals to advanced data analytics techniques. It includes hands-on examples of data cleaning, exploration, ...