Gabriella Casalino

According to our database1, Gabriella Casalino authored at least 30 papers between 2011 and 2021.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2021
Enabling Technologies for Urban Smart Mobility: Recent Trends, Opportunities and Challenges.
Sensors, 2021

Deep learning for knowledge tracing in learning analytics: an overview.
Proceedings of the First Workshop on Technology Enhanced Learning Environments for Blended Education, 2021

On the use of FIS inside a Telehealth system for cardiovascular risk monitoring.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

Automatic Clustering of CT Scans of COVID-19 Patients Based on Deep Learning.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2021

Intelligent analysis of data streams about phone calls for bipolar disorder monitoring.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

A Novel Approach for Supporting Italian Satire Detection Through Deep Learning.
Proceedings of the Flexible Query Answering Systems - 14th International Conference, 2021

2020
A mHealth solution for contact-less self-monitoring of blood oxygen saturation.
Proceedings of the IEEE Symposium on Computers and Communications, 2020

Exploiting Time in Adaptive Learning from Educational Data.
Proceedings of the Bridges and Mediation in Higher Distance Education, 2020

Evaluation of Cognitive Impairment in Pediatric Multiple Sclerosis with Machine Learning: An Exploratory Study of miRNA Expressions.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

A Hierarchical Fuzzy System for Risk Assessment of Cardiovascular Disease.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

Incremental Semi-Supervised Fuzzy C-Means for Bipolar Disorder Episode Prediction.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

Dynamic Incremental Semi-supervised Fuzzy Clustering for Bipolar Disorder Episode Prediction.
Proceedings of the Discovery Science - 23rd International Conference, 2020

2019
Contact-Less Real-Time Monitoring of Cardiovascular Risk Using Video Imaging and Fuzzy Inference Rules.
Inf., 2019

Data Stream Classification by Dynamic Incremental Semi-Supervised Fuzzy Clustering.
Int. J. Artif. Intell. Tools, 2019

Evaluating End-User Perception Towards a Cardiac Self-care Monitoring Process.
Proceedings of the Wireless Mobile Communication and Healthcare, 2019

A Predictive Model for MicroRNA Expressions in Pediatric Multiple Sclerosis Detection.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2019

Incremental and Adaptive Fuzzy Clustering for Virtual Learning Environments Data Analysis.
Proceedings of the 23rd International Conference on Information Visualisation, 2019

Explainable Artificial Intelligence for Human-Centric Data Analysis in Virtual Learning Environments.
Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2019

Credit card fraud detection by dynamic incremental semi-supervised fuzzy clustering.
Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, 2019

2018
A framework for intelligent Twitter data analysis with non-negative matrix factorization.
Int. J. Web Inf. Syst., 2018

Enhancing the DISSFCM Algorithm for Data Stream Classification.
Proceedings of the Fuzzy Logic and Applications - 12th International Workshop, 2018

A Fuzzy Rule-Based Decision Support System for Cardiovascular Risk Assessment.
Proceedings of the Fuzzy Logic and Applications - 12th International Workshop, 2018

Incremental adaptive semi-supervised fuzzy clustering for data stream classification.
Proceedings of the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018

2017
Sequential dimensionality reduction for extracting localized features.
Pattern Recognit., 2017

Intelligent Twitter Data Analysis Based on Nonnegative Matrix Factorizations.
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

Q-matrix Extraction from Real Response Data Using Nonnegative Matrix Factorizations.
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

2014
Subtractive clustering for seeding non-negative matrix factorizations.
Inf. Sci., 2014

Part-Based Data Analysis with Masked Non-negative Matrix Factorization.
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014

2012
Nonnegative Matrix Factorizations Performing Object Detection and Localization.
Appl. Comput. Intell. Soft Comput., 2012

2011
Subtractive Initialization of Nonnegative Matrix Factorizations for Document Clustering.
Proceedings of the Fuzzy Logic and Applications - 9th International Workshop, 2011


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