Nicola Amoroso

Orcid: 0000-0003-0211-0783

According to our database1, Nicola Amoroso authored at least 41 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Climate Change and Soil Health: Explainable Artificial Intelligence Reveals Microbiome Response to Warming.
Mach. Learn. Knowl. Extr., September, 2024

Estimation of Daily Ground Level Air Pollution in Italian Municipalities with Machine Learning Models Using Sentinel-5P and ERA5 Data.
Remote. Sens., April, 2024

Deep convolutional framelets for dose reconstruction in BNCT with Compton camera detector.
CoRR, 2024

The Geores Project: Geospatial Application in Support of Environmental Sustainability and Resilience to Climate Changes in Urban Areas.
Proceedings of the IGARSS 2024, 2024

2023
CIRCE: Web-Based Platform for the Prediction of Cannabinoid Receptor Ligands Using Explainable Machine Learning.
J. Chem. Inf. Model., September, 2023

PSI Spatially Constrained Clustering: The Sibari and Metaponto Coastal Plains.
Remote. Sens., 2023

TIRESIA: An eXplainable Artificial Intelligence Platform for Predicting Developmental Toxicity.
J. Chem. Inf. Model., 2023

An AI-Based Approach for the Improvement of University Technology Transfer Processes in Healthcare.
Proceedings of the Information Systems and Technologies, 2023

Towards a Healthcare 4.0 Vocabulary: A Patent-Based Approach.
Proceedings of the Information Systems and Technologies, 2023

Innovations and Emerging Technologies: A Study of the Italian Intellectual Property Knowledge Database.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

2022
Worldwide impact of lifestyle predictors of dementia prevalence: An eXplainable Artificial Intelligence analysis.
Frontiers Big Data, 2022

A robust framework to investigate the reliability and stability of explainable artificial intelligence markers of Mild Cognitive Impairment and Alzheimer's Disease.
Brain Informatics, 2022

Sustainable development goals: conceptualization, communication and achievement synergies in a complex network framework.
Appl. Netw. Sci., 2022

2021
Predicting brain age with complex networks: From adolescence to adulthood.
NeuroImage, 2021

Economic Interplay Forecasting Business Success.
Complex., 2021

2020
Machine Learning for Cloud Detection of Globally Distributed Sentinel-2 Images.
Remote. Sens., 2020

PSI Clustering for the Assessment of Underground Infrastructure Deterioration.
Remote. Sens., 2020

De Novo Drug Design of Targeted Chemical Libraries Based on Artificial Intelligence and Pair-Based Multiobjective Optimization.
J. Chem. Inf. Model., 2020

Mapping digital governance projects through complex networks.
Proceedings of the ICEGOV 2020: 13th International Conference on Theory and Practice of Electronic Governance, 2020

2019
Modelling cognitive loads in schizophrenia by means of new functional dynamic indexes.
NeuroImage, 2019

Communicability Characterization of Structural DWI Subcortical Networks in Alzheimer's Disease.
Entropy, 2019

Communicability disruption in Alzheimer's disease connectivity networks.
J. Complex Networks, 2019

Multidimensional Neuroimaging Processing in ReCaS Datacenter.
Proceedings of the Internet and Distributed Computing Systems, 2019

2018
Complex networks reveal early MRI markers of Parkinson's disease.
Medical Image Anal., 2018

Applying Big Data Methods to Understanding Human Behavior and Health.
Frontiers Comput. Neurosci., 2018

Age Related Topological Analysis of Synchronization-Based Functional Connectivity.
Proceedings of the Complex Networks and Their Applications VII, 2018

2017
Topological Measurements of DWI Tractography for Alzheimer's Disease Detection.
Comput. Math. Methods Medicine, 2017

Salient Networks: A Novel Application to Study Brain Connectivity.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

Integrating Supervised Classification in Social Participation Systems for Disaster Response. A Pilot Study.
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

2016
Automated hippocampal segmentation in 3D MRI using random undersampling with boosting algorithm.
Pattern Anal. Appl., 2016

Integrating longitudinal information in hippocampal volume measurements for the early detection of Alzheimer's disease.
NeuroImage, 2016

Computer Aided Detection System for Prediction of the Malaise during Hemodialysis.
Comput. Math. Methods Medicine, 2016

Mild Traumatic Brain Injury Outcome Prediction Based on Both Graph and K-nn Methods.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016

MRI analysis for hippocampus segmentation on a distributed infrastructure.
Proceedings of the 2016 IEEE International Symposium on Medical Measurements and Applications, 2016

2015
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge.
NeuroImage, 2015

Complex networks and public funding: the case of the 2007-2013 Italian program.
EPJ Data Sci., 2015

Feature Selection Based on Machine Learning in MRIs for Hippocampal Segmentation.
Comput. Math. Methods Medicine, 2015

An Hippocampal Segmentation Tool Within an Open Cloud Infrastructure.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2015 Workshops, 2015

2013
Active Learning Machines for Automatic Segmentation of Hippocampus in MRI.
Proceedings of the Advances in Data Mining, 13th Industrial Conference, 2013

Random Forest Classification for Hippocampal Segmentation in 3D MR Images.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

2012
Automated Shape Analysis landmarks detection for medical image processing.
Proceedings of the Computational Modelling of Objects Represented in Images, 2012


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