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571 results on '"Casalino, Gabriella"'

1. EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams

Author

Leite, Daniel, Silva, Alisson, Casalino, Gabriella, Sharma, Arnab, Fortunato, Danielle, and Ngomo, Axel-Cyrille

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing
Abstract

We introduce a modified incremental learning algorithm for evolving Granular Neural Network Classifiers (eGNN-C+). We use double-boundary hyper-boxes to represent granules, and customize the adaptation procedures to enhance the robustness of outer boxes for data coverage and noise suppression, while ensuring that inner boxes remain flexible to capture drifts. The classifier evolves from scratch, incorporates new classes on the fly, and performs local incremental feature weighting. As an application, we focus on the classification of emotion-related patterns within electroencephalogram (EEG) signals. Emotion recognition is crucial for enhancing the realism and interactivity of computer systems. We extract features from the Fourier spectrum of EEG signals obtained from 28 individuals engaged in playing computer games -- a public dataset. Each game elicits a different predominant emotion: boredom, calmness, horror, or joy. We analyze individual electrodes, time window lengths, and frequency bands to assess the accuracy and interpretability of resulting user-independent neural models. The findings indicate that both brain hemispheres assist classification, especially electrodes on the temporal (T8) and parietal (P7) areas, alongside contributions from frontal and occipital electrodes. While patterns may manifest in any band, the Alpha (8-13Hz), Delta (1-4Hz), and Theta (4-8Hz) bands, in this order, exhibited higher correspondence with the emotion classes. The eGNN-C+ demonstrates effectiveness in learning EEG data. It achieves an accuracy of 81.7% and a 0.0029 II interpretability using 10-second time windows, even in face of a highly-stochastic time-varying 4-class classification problem., Comment: 10 pages, IEEE International Conference on Evolving and Adaptive Intelligent Systems 2024 (IEEE EAIS 2024)

Published
2024

2. Leveraging Explainable AI Methods and Tools for Educational Data

Author

Casalino, Gabriella, Castellano, Giovanna, Ducange, Pietro, Fazzolari, Michela, Pecori, Riccardo, Zaza, Gianluca, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Casalino, Gabriella, editor, Di Fuccio, Raffaele, editor, Fulantelli, Giovanni, editor, Raviolo, Paolo, editor, Rivoltella, Pier Cesare, editor, Taibi, Davide, editor, and Toto, Giusi Antonia, editor

Published
2024
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6. Explainable Fuzzy Models for Learning Analytics

Author

Casalino, Gabriella, Castellano, Giovanna, Zaza, Gianluca, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Abraham, Ajith, editor, Pllana, Sabri, editor, Casalino, Gabriella, editor, Ma, Kun, editor, and Bajaj, Anu, editor

Published
2023
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7. Incremental and Interpretable Learning Analytics Through Fuzzy Hoeffding Decision Trees

Author

Casalino, Gabriella, Ducange, Pietro, Fazzolari, Michela, Pecori, Riccardo, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Fulantelli, Giovanni, editor, Burgos, Daniel, editor, Casalino, Gabriella, editor, Cimitile, Marta, editor, Lo Bosco, Giosuè, editor, and Taibi, Davide, editor

Published
2023
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8. Interpretable Neuro-Fuzzy Models for Stress Prediction

Author

Casalino, Gabriella, Castellano, Giovanna, Zaza, Gianluca, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Massanet, Sebastia, editor, Montes, Susana, editor, Ruiz-Aguilera, Daniel, editor, and González-Hidalgo, Manuel, editor

Published
2023
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9. Semi–Supervised vs. Supervised Learning for Mental Health Monitoring: A Case Study on Bipolar Disorder

Author

Casalino Gabriella, Castellano Giovanna, Hryniewicz Olgierd, Leite Daniel, Opara Karol, Radziszewska Weronika, and Kaczmarek-Majer Katarzyna

Subjects
semi-supervised learning, mental health monitoring, acoustic features, pattern recognition, ai in medicine, Mathematics, QA1-939, Electronic computers. Computer science, QA75.5-76.95
Abstract

Acoustic features of speech are promising as objective markers for mental health monitoring. Specialized smartphone apps can gather such acoustic data without disrupting the daily activities of patients. Nonetheless, the psychiatric assessment of the patient’s mental state is typically a sporadic occurrence that takes place every few months. Consequently, only a slight fraction of the acoustic data is labeled and applicable for supervised learning. The majority of the related work on mental health monitoring limits the considerations only to labeled data using a predefined ground-truth period. On the other hand, semi-supervised methods make it possible to utilize the entire dataset, exploiting the regularities in the unlabeled portion of the data to improve the predictive power of a model. To assess the applicability of semi-supervised learning approaches, we discuss selected state-of-the-art semi-supervised classifiers, namely, label spreading, label propagation, a semi-supervised support vector machine, and the self training classifier. We use real-world data obtained from a bipolar disorder patient to compare the performance of the different methods with that of baseline supervised learning methods. The experiment shows that semi-supervised learning algorithms can outperform supervised algorithms in predicting bipolar disorder episodes.

Published
2023
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10. Intelligent Knowledge Understanding from Students Questionnaires: A Case Study

Author

Casalino, Gabriella, Grilli, Luca, Guarino, Alfonso, Schicchi, Daniele, Taibi, Davide, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Casalino, Gabriella, editor, Cimitile, Marta, editor, Ducange, Pietro, editor, Padilla Zea, Natalia, editor, Pecori, Riccardo, editor, Picerno, Pietro, editor, and Raviolo, Paolo, editor

Published
2022
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14. Neuro-Fuzzy Systems for Learning Analytics

Author

Casalino, Gabriella, Castellano, Giovanna, Zaza, Gianluca, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Abraham, Ajith, editor, Gandhi, Niketa, editor, Hanne, Thomas, editor, Hong, Tzung-Pei, editor, Nogueira Rios, Tatiane, editor, and Ding, Weiping, editor

Published
2022
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18. Exploiting Time in Adaptive Learning from Educational Data

Author

Casalino, Gabriella, Castellano, Giovanna, Vessio, Gennaro, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Agrati, Laura Sara, editor, Burgos, Daniel, editor, Ducange, Pietro, editor, Limone, Pierpaolo, editor, Perla, Loredana, editor, Picerno, Pietro, editor, Raviolo, Paolo, editor, and Stracke, Christian M., editor

Published
2021
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19. A Novel Approach for Supporting Italian Satire Detection Through Deep Learning

Author

Casalino, Gabriella, Cuzzocrea, Alfredo, Bosco, Giosué Lo, Maiorana, Mariano, Pilato, Giovanni, Schicchi, Daniele, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Andreasen, Troels, editor, De Tré, Guy, editor, Kacprzyk, Janusz, editor, Legind Larsen, Henrik, editor, Bordogna, Gloria, editor, and Zadrożny, Sławomir, editor

Published
2021
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20. Automatic Clustering of CT Scans of COVID-19 Patients Based on Deep Learning

Author

Bemportato, Pierluigi, Casalino, Gabriella, Castellano, Giovanna, Vessio, Gennaro, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Torra, Vicenç, editor, and Narukawa, Yasuo, editor

Published
2021
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22. Evaluating End-User Perception Towards a Cardiac Self-care Monitoring Process

Author

Casalino, Gabriella, Castellano, Giovanna, Pasquadibisceglie, Vincenzo, Zaza, Gianluca, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, O'Hare, Gregory M.P., editor, O'Grady, Michael J., editor, O’Donoghue, John, editor, and Henn, Patrick, editor

Published
2020
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23. Dynamic Incremental Semi-supervised Fuzzy Clustering for Bipolar Disorder Episode Prediction

Author

Casalino, Gabriella, Castellano, Giovanna, Galetta, Francesco, Kaczmarek-Majer, Katarzyna, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Appice, Annalisa, editor, Tsoumakas, Grigorios, editor, Manolopoulos, Yannis, editor, and Matwin, Stan, editor

Published
2020
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26. Sequential Dimensionality Reduction for Extracting Localized Features

Author

Casalino, Gabriella and Gillis, Nicolas

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Learning, Computer Science - Numerical Analysis, Mathematics - Numerical Analysis, Statistics - Machine Learning
Abstract

Linear dimensionality reduction techniques are powerful tools for image analysis as they allow the identification of important features in a data set. In particular, nonnegative matrix factorization (NMF) has become very popular as it is able to extract sparse, localized and easily interpretable features by imposing an additive combination of nonnegative basis elements. Nonnegative matrix underapproximation (NMU) is a closely related technique that has the advantage to identify features sequentially. In this paper, we propose a variant of NMU that is particularly well suited for image analysis as it incorporates the spatial information, that is, it takes into account the fact that neighboring pixels are more likely to be contained in the same features, and favors the extraction of localized features by looking for sparse basis elements. We show that our new approach competes favorably with comparable state-of-the-art techniques on synthetic, facial and hyperspectral image data sets., Comment: 24 pages, 12 figures. New numerical experiments on synthetic data sets, discussion about the convergence

Published
2015
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27. Explainable Artificial Intelligence for Human-Centric Data Analysis in Virtual Learning Environments

Author

Alonso, José M., Casalino, Gabriella, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Yuan, Junsong, Founding Editor, Burgos, Daniel, editor, Cimitile, Marta, editor, Ducange, Pietro, editor, Pecori, Riccardo, editor, Picerno, Pietro, editor, Raviolo, Paolo, editor, and Stracke, Christian M., editor

Published
2019
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28. A Predictive Model for MicroRNA Expressions in Pediatric Multiple Sclerosis Detection

Author

Casalino, Gabriella, Castellano, Giovanna, Consiglio, Arianna, Liguori, Maria, Nuzziello, Nicoletta, Primiceri, Davide, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Torra, Vicenç, editor, Narukawa, Yasuo, editor, Pasi, Gabriella, editor, and Viviani, Marco, editor

Published
2019
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29. A Fuzzy Rule-Based Decision Support System for Cardiovascular Risk Assessment

Author

Casalino, Gabriella, Castellano, Giovanna, Castiello, Ciro, Pasquadibisceglie, Vincenzo, Zaza, Gianluca, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Fullér, Robert, editor, Giove, Silvio, editor, and Masulli, Francesco, editor

Published
2019
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30. Enhancing the DISSFCM Algorithm for Data Stream Classification

Author

Casalino, Gabriella, Castellano, Giovanna, Fanelli, Anna Maria, Mencar, Corrado, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Fullér, Robert, editor, Giove, Silvio, editor, and Masulli, Francesco, editor

Published
2019
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35. Intelligent Twitter Data Analysis Based on Nonnegative Matrix Factorizations

Author

Casalino, Gabriella, Castiello, Ciro, Del Buono, Nicoletta, Mencar, Corrado, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Gervasi, Osvaldo, editor, Murgante, Beniamino, editor, Misra, Sanjay, editor, Borruso, Giuseppe, editor, Torre, Carmelo M., editor, Rocha, Ana Maria A.C., editor, Taniar, David, editor, Apduhan, Bernady O., editor, Stankova, Elena, editor, and Cuzzocrea, Alfredo, editor

Published
2017
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36. Q-matrix Extraction from Real Response Data Using Nonnegative Matrix Factorizations

Author

Casalino, Gabriella, Castiello, Ciro, Del Buono, Nicoletta, Esposito, Flavia, Mencar, Corrado, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Gervasi, Osvaldo, editor, Murgante, Beniamino, editor, Misra, Sanjay, editor, Borruso, Giuseppe, editor, Torre, Carmelo M., editor, Rocha, Ana Maria A.C., editor, Taniar, David, editor, Apduhan, Bernady O., editor, Stankova, Elena, editor, and Cuzzocrea, Alfredo, editor

Published
2017
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45. Guest Editorial: Modeling and simulation based intelligent embedded computing systems in industrial internet of things.

Author

Chakraborty, Chinmay, Zaitsev, Dmitry A., and Casalino, Gabriella

Subjects
COMPUTER systems, INDUSTRIALISM, INTERNET of things, ARTIFICIAL intelligence, ENGINEERING management
Abstract

An introduction is presented in which the editor discusses articles in the issue on topics including breast cancer image classification, intelligent engineering management with data mining, and identifying optimal methods for power grid error parameters.

Published
2024
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46. Part-Based Data Analysis with Masked Non-negative Matrix Factorization

Author

Casalino, Gabriella, Del Buono, Nicoletta, Mencar, Corrado, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Kobsa, Alfred, editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Weikum, Gerhard, editor, Murgante, Beniamino, editor, Misra, Sanjay, editor, Rocha, Ana Maria A. C., editor, Torre, Carmelo, editor, Rocha, Jorge Gustavo, editor, Falcão, Maria Irene, editor, Taniar, David, editor, Apduhan, Bernady O., editor, and Gervasi, Osvaldo, editor

Published
2014
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49. Subtractive Initialization of Nonnegative Matrix Factorizations for Document Clustering

Author

Casalino, Gabriella, Del Buono, Nicoletta, Mencar, Corrado, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Fanelli, Anna Maria, editor, Pedrycz, Witold, editor, and Petrosino, Alfredo, editor

Published
2011
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