Gabriella Casalino

According to our database, Gabriella Casalino authored at least 42 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

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

Gabriella Casalino, Giovanna Castellano, Ciro Castiello, Corrado Mencar

Soft Comput., 2022

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

Piyush Batra, Imran Hussain, Mohd Abdul Ahad, Gabriella Casalino, Mohd. Afshar Alam, Aqeel Khalique, Syed Imtiyaz Hassan

Sensors, 2022

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

Katarzyna Kaczmarek-Majer, Gabriella Casalino, Giovanna Castellano, Monika Dominiak, Olgierd Hryniewicz, Olga Kaminska, Gennaro Vessio, Natalia Díaz Rodríguez

Inf. Sci., 2022

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

Katarzyna Kaczmarek-Majer, Gabriella Casalino, Giovanna Castellano, Olgierd Hryniewicz, Monika Dominiak

Inf. Sci., 2022

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

Gabriella Casalino, Giovanna Castellano, Andrea Nisio, Vincenzo Pasquadibisceglie, Gianluca Zaza

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

Fuzzy Linguistic Summaries for Explaining Online Semi-Supervised Learning.

Katarzyna Kaczmarek-Majer, Gabriella Casalino, Giovanna Castellano, Daniel Leite, Olgierd Hryniewicz

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

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

Kamil Kmita, Gabriella Casalino, Giovanna Castellano, Olgierd Hryniewicz, Katarzyna Kaczmarek-Majer

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021

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

Sara Paiva, Mohd Abdul Ahad, Gautami Tripathi, Noushaba Feroz, Gabriella Casalino

Sensors, 2021

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

Md. Onais Ahmad, Mohd Abdul Ahad, Mohd. Afshar Alam, Farheen Siddiqui, Gabriella Casalino

Sensors, 2021

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

Gabriella Casalino, Giovanna Castellano, Gianluca Zaza

Proceedings of WILF 2021, 2021

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

Gabriella Casalino, Barbara Cafarelli, Emiliano del Gobbo, Lara Fontanella, Luca Grilli, Alfonso Guarino, Pierpaolo Limone, Daniele Schicchi, Davide Taibi

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

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

Gabriella Casalino, Luca Grilli, Pierpaolo Limone, Domenico Santoro, Daniele Schicchi

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.

Gabriella Casalino, Giovanna Castellano, Uzay Kaymak, Gianluca Zaza

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

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

Gabriella Casalino, Giovanna Castellano, Gianluca Zaza

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

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

Pierluigi Bemportato, Gabriella Casalino, Giovanna Castellano, Gennaro Vessio

Proceedings of the Modeling Decisions for Artificial Intelligence, 2021

Neuro-Fuzzy Systems for Learning Analytics.

Gabriella Casalino, Giovanna Castellano, Gianluca Zaza

Proceedings of the Intelligent Systems Design and Applications, 2021

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

Gabriella Casalino, Giovanna Castellano, Katarzyna Kaczmarek-Majer, Olgierd Hryniewicz

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

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

Gabriella Casalino, Alfredo Cuzzocrea, Giosuè Lo Bosco, Mariano Maiorana, Giovanni Pilato, Daniele Schicchi

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

2020

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

Gabriella Casalino, Giovanna Castellano, Gianluca Zaza

Proceedings of the IEEE Symposium on Computers and Communications, 2020

Exploiting Time in Adaptive Learning from Educational Data.

Gabriella Casalino, Giovanna Castellano, 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.

Gabriella Casalino, 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.

Gabriella Casalino, Riccardo Grassi, Marco Iannotta, Vincenzo Pasquadibisceglie, Gianluca Zaza

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

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

Gabriella Casalino, Monika Dominiak, Francesco Galetta, Katarzyna Kaczmarek-Majer

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

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

Gabriella Casalino, Giovanna Castellano, Francesco Galetta, Katarzyna Kaczmarek-Majer

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.

Gabriella Casalino, Giovanna Castellano, Vincenzo Pasquadibisceglie, Gianluca Zaza

Inf., 2019

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

Gabriella Casalino, Giovanna Castellano, Corrado Mencar

Int. J. Artif. Intell. Tools, 2019

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

Gabriella Casalino, Giovanna Castellano, Vincenzo Pasquadibisceglie, Gianluca Zaza

Proceedings of the Wireless Mobile Communication and Healthcare, 2019

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

Gabriella Casalino, Giovanna Castellano, Arianna Consiglio, Maria Liguori, Nicoletta Nuzziello, Davide Primiceri

Proceedings of the Modeling Decisions for Artificial Intelligence, 2019

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

Gabriella Casalino, Giovanna Castellano, Corrado Mencar

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

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

José Maria Alonso, Gabriella Casalino

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

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

Gabriella Casalino, Giovanna Castellano, Corrado Mencar

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.

Gabriella Casalino, Ciro Castiello, Nicoletta Del Buono, Corrado Mencar

Int. J. Web Inf. Syst., 2018

Enhancing the DISSFCM Algorithm for Data Stream Classification.

Gabriella Casalino, Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar

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

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

Gabriella Casalino, Giovanna Castellano, Ciro Castiello, Vincenzo Pasquadibisceglie, Gianluca Zaza

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

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

Gabriella Casalino, Giovanna Castellano, Corrado Mencar

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

2017

Sequential dimensionality reduction for extracting localized features.

Gabriella Casalino, Nicolas Gillis

Pattern Recognit., 2017

Intelligent Twitter Data Analysis Based on Nonnegative Matrix Factorizations.

Gabriella Casalino, Ciro Castiello, Nicoletta Del Buono, Corrado Mencar

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

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

Gabriella Casalino, Ciro Castiello, Nicoletta Del Buono, Flavia Esposito, Corrado Mencar

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

2014

Subtractive clustering for seeding non-negative matrix factorizations.

Gabriella Casalino, Nicoletta Del Buono, Corrado Mencar

Inf. Sci., 2014

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

Gabriella Casalino, Nicoletta Del Buono, Corrado Mencar

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.

Gabriella Casalino, Nicoletta Del Buono, Massimo Minervini

Appl. Comput. Intell. Soft Comput., 2012

2011

Subtractive Initialization of Nonnegative Matrix Factorizations for Document Clustering.

Gabriella Casalino, Nicoletta Del Buono, Corrado Mencar

Proceedings of the Fuzzy Logic and Applications - 9th International Workshop, 2011