Gabriella Casalino

Joel J. P. C. Rodrigues

IEEE Trans. Comput. Soc. Syst., August, 2023

Evaluating the robustness of a contact-less mHealth solution for personal and remote monitoring of blood oxygen saturation.

[BibT_eX]

[DOI]

J. Ambient Intell. Humaniz. Comput., July, 2023

BAuth-ZKP - A Blockchain-Based Multi-Factor Authentication Mechanism for Securing Smart Cities.

[BibT_eX]

[DOI]

Sensors, March, 2023

Semi-Supervised Fuzzy C-Means for Regression.

[BibT_eX]

[DOI]

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Interpretable Neuro-Fuzzy Models for Stress Prediction.

[BibT_eX]

[DOI]

Proceedings of the Fuzzy Logic and Technology, and Aggregation Operators, 2023

EasyDKT: an Easy-to-use Framework for Deep Knowledge Tracing.

[BibT_eX]

[DOI]

Proceedings of the First International Workshop on High-performance Artificial Intelligence Systems in Education co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023

2022

Effect of fuzziness in fuzzy rule-based classifiers defined by strong fuzzy partitions and winner-takes-all inference.

[BibT_eX]

[DOI]

Soft Comput., 2022

A Novel Memory and Time-Efficient ALPR System Based on YOLOv5.

[BibT_eX]

[DOI]

Sensors, 2022

PLENARY: Explaining black-box models in natural language through fuzzy linguistic summaries.

[BibT_eX]

[DOI]

Natalia Díaz Rodríguez

Inf. Sci., 2022

Explaining smartphone-based acoustic data in bipolar disorder: Semi-supervised fuzzy clustering and relative linguistic summaries.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Fuzzy Hoeffding Decision Trees for Learning Analytics.

[BibT_eX]

[DOI]

Proceedings of the First Workshop on Online Learning from Uncertain Data Streams (OLUD 2022) co-located with IEEE World Congress on Computational Intelligence (WCCI 2022), 2022

A mobile app for contactless measurement of vital signs through remote Photoplethysmography.

[BibT_eX]

[DOI]

Andrea Nisio

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Explainable Fuzzy Models for Learning Analytics.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

Fuzzy Linguistic Summaries for Explaining Online Semi-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022

Incremental and Interpretable Learning Analytics Through Fuzzy Hoeffding Decision Trees.

[BibT_eX]

[DOI]

Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2022

Confidence path regularization for handling label uncertainty in semi-supervised learning: use case in bipolar disorder monitoring.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021

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

[BibT_eX]

[DOI]

Sensors, 2021

Cyber-Physical Systems and Smart Cities in India: Opportunities, Issues, and Challenges.

[BibT_eX]

[DOI]

Sensors, 2021

Using an adaptive neuro-fuzzy inference system for the classification of hypertension.

[BibT_eX]

[DOI]

Proceedings of WILF 2021, 2021

Framing automatic grading techniques for open-ended questionnaires responses. A short survey.

[BibT_eX]

[DOI]

Proceedings of the Second Workshop on Technology Enhanced Learning Environments for Blended Education, 2021

Deep learning for knowledge tracing in learning analytics: an overview.

[BibT_eX]

[DOI]

Proceedings of the First Workshop on Technology Enhanced Learning Environments for Blended Education, 2021

Balancing Accuracy and Interpretability through Neuro-Fuzzy Models for Cardiovascular Risk Assessment.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

On the use of FIS inside a Telehealth system for cardiovascular risk monitoring.

[BibT_eX]

[DOI]

Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

Automatic Clustering of CT Scans of COVID-19 Patients Based on Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Modeling Decisions for Artificial Intelligence, 2021

Neuro-Fuzzy Systems for Learning Analytics.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Systems Design and Applications, 2021

Intelligent analysis of data streams about phone calls for bipolar disorder monitoring.

[BibT_eX]

[DOI]

Olgierd Hryniewicz

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

A Novel Approach for Supporting Italian Satire Detection Through Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Flexible Query Answering Systems - 14th International Conference, 2021

2020

A mHealth solution for contact-less self-monitoring of blood oxygen saturation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computers and Communications, 2020

Exploiting Time in Adaptive Learning from Educational Data.

[BibT_eX]

[DOI]

Gennaro Vessio

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.

[BibT_eX]

[DOI]

Gennaro Vessio

Arianna Consiglio

Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

A Hierarchical Fuzzy System for Risk Assessment of Cardiovascular Disease.

[BibT_eX]

[DOI]

Riccardo Grassi

Marco Iannotta

Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

Incremental Semi-Supervised Fuzzy C-Means for Bipolar Disorder Episode Prediction.

[BibT_eX]

[DOI]

Monika Dominiak

Francesco Galetta

Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

Dynamic Incremental Semi-supervised Fuzzy Clustering for Bipolar Disorder Episode Prediction.

[BibT_eX]

[DOI]

Francesco Galetta

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.

[BibT_eX]

[DOI]

Inf., 2019

Data Stream Classification by Dynamic Incremental Semi-Supervised Fuzzy Clustering.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Tools, 2019

Evaluating End-User Perception Towards a Cardiac Self-care Monitoring Process.

[BibT_eX]

[DOI]

Proceedings of the Wireless Mobile Communication and Healthcare, 2019

A Predictive Model for MicroRNA Expressions in Pediatric Multiple Sclerosis Detection.

[BibT_eX]

[DOI]

Proceedings of the Modeling Decisions for Artificial Intelligence, 2019

Incremental and Adaptive Fuzzy Clustering for Virtual Learning Environments Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Information Visualisation, 2019

Explainable Artificial Intelligence for Human-Centric Data Analysis in Virtual Learning Environments.

[BibT_eX]

[DOI]

José Maria Alonso

Proceedings of the Higher Education Learning Methodologies and Technologies Online, 2019

Credit card fraud detection by dynamic incremental semi-supervised fuzzy clustering.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Int. J. Web Inf. Syst., 2018

Enhancing the DISSFCM Algorithm for Data Stream Classification.

[BibT_eX]

[DOI]

Proceedings of the Fuzzy Logic and Applications - 12th International Workshop, 2018

A Fuzzy Rule-Based Decision Support System for Cardiovascular Risk Assessment.

[BibT_eX]

[DOI]

Ciro Castiello

Proceedings of the Fuzzy Logic and Applications - 12th International Workshop, 2018

Incremental adaptive semi-supervised fuzzy clustering for data stream classification.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018

2017

Sequential dimensionality reduction for extracting localized features.

[BibT_eX]

[DOI]

Nicolas Gillis

Pattern Recognit., 2017

Intelligent Twitter Data Analysis Based on Nonnegative Matrix Factorizations.

[BibT_eX]

[DOI]

Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

Q-matrix Extraction from Real Response Data Using Nonnegative Matrix Factorizations.

[BibT_eX]

[DOI]

Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

2014

Subtractive clustering for seeding non-negative matrix factorizations.

[BibT_eX]

[DOI]

Inf. Sci., 2014

Part-Based Data Analysis with Masked Non-negative Matrix Factorization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Massimo Minervini

Appl. Comput. Intell. Soft Comput., 2012

2011

Subtractive Initialization of Nonnegative Matrix Factorizations for Document Clustering.

[BibT_eX]

[DOI]