Explainable AI-based skin cancer detection using CNN, particle swarm optimization and machine learning
Journal of Imaging, 10(12), 332 · MDPI
Publications
The research behind our tools.
Our research is published in international peer-reviewed scientific journals. Each publication stems from concrete research projects and fuels the development of the technologies and platforms we build.
14
Publications
11
Peer-reviewed journals
2
Research areas
2021–25
Time span
2025
DOI→
Analysing neonatal vocal expression: Methodological approaches to identifying neurological and psychiatric signatures
Journal of Multiscale Neuroscience, 4(2), 158–176 · Neural Press
Artificial intelligence coupled with the Internet of Things targeting neurodevelopmental challenges in preterm neonates
Journal of Multiscale Neuroscience, 4(1), 32–56 · Neural Press
B2-GraftingNet: A Hybrid Deep-Machine Learning Framework with Explainable AI for Automated Grape Leaf Disease Detection
Preprints.org
2024
Predicting multiple taste sensations with a multiobjective machine learning method
npj Science of Food, 8(1), 47 · Nature Publishing Group
VirtuousPocketome: a computational tool for screening protein–ligand complexes to identify similar binding sites
Scientific Reports, 14(1), 6296 · Nature Publishing Group
AI can empower agriculture for global food security: challenges and prospects in developing nations
Frontiers in Artificial Intelligence, 7, 1328530 · Frontiers Media
Exploring TAS2R46 biomechanics through molecular dynamics and network analysis
Frontiers in Molecular Biosciences, 11, 1473675 · Frontiers Media
2023
Molecular Biomechanics of the TAS2R46 Bitter Taste Receptor through Network-based Investigation
bioRxiv
2022
A survey on computational taste predictors
European Food Research and Technology, 248(9), 2215–2235 · Springer
Informed classification of sweeteners/bitterants compounds via explainable machine learning
Current Research in Food Science, 5, 2270–2280 · Elsevier
Fungi, P-solubilization, and plant nutrition
Microorganisms, 10(9), 1716 · MDPI
2021
On the human taste perception: Molecular-level understanding empowered by computational methods
Trends in Food Science & Technology, 116, 445–459 · Elsevier
Machine learning approaches as an alternative to traditional statistical methods in cardiovascular risk prediction
Biomedical Science and Engineering, 2(1)