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ORCIDGabriella Casalino
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2020 – today
- 2024
[j19]Chinmay Chakraborty, Dmitry A. Zaitsev, Gabriella Casalino:
Guest Editorial: Modeling and simulation based intelligent embedded computing systems in industrial internet of things. Int. J. Model. Simul. Sci. Comput. 15(2): 2402001:1-2402001:3 (2024)- [j18]Hichame Kabiri, Youssef Ghanou, Hamid Khalifi
, Gabriella Casalino:
AMAdam: adaptive modifier of Adam method. Knowl. Inf. Syst. 66(6): 3427-3458 (2024) - [c42]Gabriella Casalino, Giovanna Castellano, Daniele Di Mitri, Katarzyna Kaczmarek-Majer, Gianluca Zaza:
A Human-centric Approach to Explain Evolving Data: A Case Study on Education. EAIS 2024: 1-8 - [c41]Daniel F. Leite, Alisson Silva, Gabriella Casalino, Arnab Sharma, Danielle Fortunato, Axel-Cyrille Ngonga Ngomo:
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams. EAIS 2024: 1-10 - [c40]Gabriella Casalino, Giovanna Castellano, Katarzyna Kaczmarek-Majer, Gianluca Zaza:
Prototype-Based Explanations to Improve Understanding of Unsupervised Datasets. FUZZ 2024: 1-8 - [c39]Gabriella Casalino, Giovanna Castellano, Gennaro Vessio, Gianluca Zaza:
Advancing e-health with AI: Insights from our research experience in neuroimaging, acoustic signals, and vital parameter monitoring. Ital-IA 2024: 295-300 - [e10]Gabriella Casalino, Raffaele Di Fuccio, Giovanni Fulantelli, Paolo Raviolo, Pier Cesare Rivoltella, Davide Taibi, Giusi Antonia Toto:
Higher Education Learning Methodologies and Technologies Online - 5th International Conference, HELMeTO 2023, Foggia, Italy, September 13-15, 2023, Revised Selected Papers. Communications in Computer and Information Science 2076, Springer 2024, ISBN 978-3-031-67350-4 [contents] - [i2]Daniel Leite, Alisson Silva, Gabriella Casalino, Arnab Sharma, Danielle Fortunato, Axel-Cyrille Ngonga Ngomo:
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams. CoRR abs/2402.17792 (2024) - 2023
- [j17]Gabriella Casalino, Giovanna Castellano, Olgierd Hryniewicz, Daniel Leite, Karol R. Opara, Weronika Radziszewska, Katarzyna Kaczmarek-Majer:
Semi-supervised vs. supervised learning for mental health monitoring: A case study on bipolar disorder. Int. J. Appl. Math. Comput. Sci. 33(3) (2023) - [j16]Gabriella Casalino, Giovanna Castellano, Gianluca Zaza:
Evaluating the robustness of a contact-less mHealth solution for personal and remote monitoring of blood oxygen saturation. J. Ambient Intell. Humaniz. Comput. 14(7): 8871-8880 (2023) - [j15]Gabriella Casalino, Giovanna Castellano, Arianna Consiglio, Nicoletta Nuzziello, Gennaro Vessio:
MicroRNA expression classification for pediatric multiple sclerosis identification. J. Ambient Intell. Humaniz. Comput. 14(12): 15851-15860 (2023) - [j14]Md. Onais Ahmad, Gautami Tripathi, Farheen Siddiqui, Mohd. Afshar Alam, Mohd Abdul Ahad, Mohd Majid Akhtar, Gabriella Casalino:
BAuth-ZKP - A Blockchain-Based Multi-Factor Authentication Mechanism for Securing Smart Cities. Sensors 23(5): 2757 (2023) - [j13]Chinmay Chakraborty, Mohammad Reza Khosravi, Gabriella Casalino, Joel J. P. C. Rodrigues:
Guest Editorial Special Issue on AIoMT-Enabled Federated Learning-Based Computing for Socially Implemented IoMT Systems: How Will Healthcare Systems Change? IEEE Trans. Comput. Soc. Syst. 10(4): 1537-1539 (2023) - [c38]Gabriella Casalino, Mattia Di Gangi, Francesco Ranieri, Daniele Schicchi, Davide Taibi:
EasyDKT: an Easy-to-use Framework for Deep Knowledge Tracing. AIxEDU@AI*IA 2023 - [c37]Gabriella Casalino, Giovanna Castellano, Gianluca Zaza:
Interpretable Neuro-Fuzzy Models for Stress Prediction. EUSFLAT/AGOP 2023: 630-641 - [c36]Gabriella Casalino, Giovanna Castellano, Pietro Ducange, Michela Fazzolari, Riccardo Pecori, Gianluca Zaza:
Leveraging Explainable AI Methods and Tools for Educational Data. HELMeTO 2023: 95-111 - [c35]Gabriella Casalino, Giovanna Castellano, Corrado Mencar:
Semi-Supervised Fuzzy C-Means for Regression. IJCCI 2023: 369-375 - [e9]Giovanni Fulantelli, Daniel Burgos, Gabriella Casalino, Marta Cimitile, Giosuè Lo Bosco, Davide Taibi:
Higher Education Learning Methodologies and Technologies Online - 4th International Conference, HELMeTO 2022, Palermo, Italy, September 21-23, 2022, Revised Selected Papers. Communications in Computer and Information Science 1779, Springer 2023, ISBN 978-3-031-29799-1 [contents] - [e8]Ajith Abraham, Sabri Pllana, Gabriella Casalino, Kun Ma, Anu Bajaj:
Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022 - Volume 1. Lecture Notes in Networks and Systems 646, Springer 2023, ISBN 978-3-031-27439-8 [contents] - [e7]Ajith Abraham, Sabri Pllana, Gabriella Casalino, Kun Ma, Anu Bajaj:
Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022 - Volume 2. Lecture Notes in Networks and Systems 715, Springer 2023, ISBN 978-3-031-35506-6 [contents] - [e6]Ajith Abraham, Sabri Pllana, Gabriella Casalino, Kun Ma, Anu Bajaj:
Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022 - Volume 3. Lecture Notes in Networks and Systems 716, Springer 2023, ISBN 978-3-031-35500-4 [contents] - [e5]Ajith Abraham, Sabri Pllana, Gabriella Casalino, Kun Ma, Anu Bajaj:
Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022 - Volume 4. Lecture Notes in Networks and Systems 717, Springer 2023, ISBN 978-3-031-35509-7 [contents] - [e4]Gabriella Casalino, Giovanna Castellano, Katarzyna Kaczmarek-Majer, Daniel Leite:
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), Padova, Italy, July 18, 2022. CEUR Workshop Proceedings 3380, CEUR-WS.org 2023 [contents] - 2022
- [j12]Katarzyna Kaczmarek-Majer, Gabriella Casalino, Giovanna Castellano, Olgierd Hryniewicz, Monika Dominiak:
Explaining smartphone-based acoustic data in bipolar disorder: Semi-supervised fuzzy clustering and relative linguistic summaries. Inf. Sci. 588: 174-195 (2022) - [j11]Katarzyna Kaczmarek-Majer, Gabriella Casalino, Giovanna Castellano, Monika Dominiak, Olgierd Hryniewicz, Olga Kaminska, Gennaro Vessio, Natalia Díaz Rodríguez:
PLENARY: Explaining black-box models in natural language through fuzzy linguistic summaries. Inf. Sci. 614: 374-399 (2022) - [j10]Piyush Batra, Imran Hussain, Mohd Abdul Ahad, Gabriella Casalino, Mohd. Afshar Alam, Aqeel Khalique, Syed Imtiyaz Hassan:
A Novel Memory and Time-Efficient ALPR System Based on YOLOv5. Sensors 22(14): 5283 (2022) - [j9]Gabriella Casalino, Giovanna Castellano, Ciro Castiello, Corrado Mencar:
Effect of fuzziness in fuzzy rule-based classifiers defined by strong fuzzy partitions and winner-takes-all inference. Soft Comput. 26(14): 6519-6527 (2022) - [c34]Kamil Kmita, Gabriella Casalino, Giovanna Castellano, Olgierd Hryniewicz, Katarzyna Kaczmarek-Majer:
Confidence path regularization for handling label uncertainty in semi-supervised learning: use case in bipolar disorder monitoring. FUZZ-IEEE 2022: 1-8 - [c33]Gabriella Casalino, Pietro Ducange, Michela Fazzolari, Riccardo Pecori:
Incremental and Interpretable Learning Analytics Through Fuzzy Hoeffding Decision Trees. HELMeTO 2022: 674-690 - [c32]Katarzyna Kaczmarek-Majer, Gabriella Casalino, Giovanna Castellano, Daniel F. Leite, Olgierd Hryniewicz:
Fuzzy Linguistic Summaries for Explaining Online Semi-Supervised Learning. IS 2022: 1-8 - [c31]Gabriella Casalino, Giovanna Castellano, Gianluca Zaza:
Explainable Fuzzy Models for Learning Analytics. ISDA (3) 2022: 394-403 - [c30]Gabriella Casalino, Giovanna Castellano, Andrea Nisio, Vincenzo Pasquadibisceglie, Gianluca Zaza:
A mobile app for contactless measurement of vital signs through remote Photoplethysmography. SMC 2022: 2675-2680 - [c29]Gabriella Casalino, Pietro Ducange, Michela Fazzolari, Riccardo Pecori:
Fuzzy Hoeffding Decision Trees for Learning Analytics. OLUD@WCCI 2022 - [e3]Plamen Angelov, George A. Papadopoulos, Giovanna Castellano, José A. Iglesias, Gabriella Casalino, Edwin Lughofer, Daniel Leite:
IEEE International Conference on Evolving and Adaptive Intelligent System, EAIS 2022, Larnaca, Cyprus, May 25-26, 2022. IEEE 2022, ISBN 978-1-6654-3706-6 [contents] - [e2]Gabriella Casalino, Marta Cimitile, Pietro Ducange, Natalia Padilla Zea, Riccardo Pecori, Pietro Picerno, Paolo Raviolo:
Higher Education Learning Methodologies and Technologies Online - Third International Workshop, HELMeTO 2021, Pisa, Italy, September 9-10, 2021, Revised Selected Papers. Communications in Computer and Information Science 1542, Springer 2022, ISBN 978-3-030-96059-9 [contents] - [e1]Ajith Abraham, Patrick Siarry, Vincenzo Piuri, Niketa Gandhi, Gabriella Casalino, Oscar Castillo, Patrick Hung:
Hybrid Intelligent Systems - 21st International Conference on Hybrid Intelligent Systems (HIS 2021), December 14-16, 2021. Lecture Notes in Networks and Systems 420, Springer 2022, ISBN 978-3-030-96304-0 [contents] - 2021
- [j8]Sara Paiva, Mohd Abdul Ahad, Gautami Tripathi, Noushaba Feroz, Gabriella Casalino:
Enabling Technologies for Urban Smart Mobility: Recent Trends, Opportunities and Challenges. Sensors 21(6): 2143 (2021) - [j7]Md. Onais Ahmad, Mohd Abdul Ahad, Mohd. Afshar Alam, Farheen Siddiqui, Gabriella Casalino:
Cyber-Physical Systems and Smart Cities in India: Opportunities, Issues, and Challenges. Sensors 21(22): 7714 (2021) - [c28]Gabriella Casalino, Alfredo Cuzzocrea, Giosuè Lo Bosco, Mariano Maiorana, Giovanni Pilato, Daniele Schicchi:
A Novel Approach for Supporting Italian Satire Detection Through Deep Learning. FQAS 2021: 170-181 - [c27]Gabriella Casalino, Giovanna Castellano, Katarzyna Kaczmarek-Majer, Olgierd Hryniewicz:
Intelligent analysis of data streams about phone calls for bipolar disorder monitoring. FUZZ-IEEE 2021: 1-6 - [c26]Gabriella Casalino, Luca Grilli, Alfonso Guarino, Daniele Schicchi, Davide Taibi:
Intelligent Knowledge Understanding from Students Questionnaires: A Case Study. HELMeTO 2021: 74-86 - [c25]Gabriella Casalino, Giovanna Castellano, Gianluca Zaza:
Neuro-Fuzzy Systems for Learning Analytics. ISDA 2021: 1341-1350 - [c24]Pierluigi Bemportato, Gabriella Casalino, Giovanna Castellano, Gennaro Vessio:
Automatic Clustering of CT Scans of COVID-19 Patients Based on Deep Learning. MDAI 2021: 231-242 - [c23]Gabriella Casalino, Giovanna Castellano, Gianluca Zaza:
On the use of FIS inside a Telehealth system for cardiovascular risk monitoring. MED 2021: 173-178 - [c22]Gabriella Casalino, Giovanna Castellano, Uzay Kaymak, Gianluca Zaza:
Balancing Accuracy and Interpretability through Neuro-Fuzzy Models for Cardiovascular Risk Assessment. SSCI 2021: 1-8 - [c21]Gabriella Casalino, Luca Grilli, Pierpaolo Limone, Domenico Santoro, Daniele Schicchi:
Deep learning for knowledge tracing in learning analytics: an overview. teleXbe 2021 - [c20]Gabriella Casalino, Barbara Cafarelli, Emiliano del Gobbo, Lara Fontanella, Luca Grilli, Alfonso Guarino, Pierpaolo Limone, Daniele Schicchi, Davide Taibi:
Framing automatic grading techniques for open-ended questionnaires responses. A short survey. teleXbe (2) 2021 - [c19]Gabriella Casalino, Giovanna Castellano, Gianluca Zaza:
Using an adaptive neuro-fuzzy inference system for the classification of hypertension. WILF 2021 - 2020
- [c18]Gabriella Casalino, Giovanna Castellano, Francesco Galetta, Katarzyna Kaczmarek-Majer:
Dynamic Incremental Semi-supervised Fuzzy Clustering for Bipolar Disorder Episode Prediction. DS 2020: 79-93 - [c17]Gabriella Casalino, Monika Dominiak, Francesco Galetta, Katarzyna Kaczmarek-Majer:
Incremental Semi-Supervised Fuzzy C-Means for Bipolar Disorder Episode Prediction. EAIS 2020: 1-8 - [c16]Gabriella Casalino, Riccardo Grassi, Marco Iannotta, Vincenzo Pasquadibisceglie, Gianluca Zaza:
A Hierarchical Fuzzy System for Risk Assessment of Cardiovascular Disease. EAIS 2020: 1-7 - [c15]Gabriella Casalino, Gennaro Vessio, Arianna Consiglio:
Evaluation of Cognitive Impairment in Pediatric Multiple Sclerosis with Machine Learning: An Exploratory Study of miRNA Expressions. EAIS 2020: 1-6 - [c14]Gabriella Casalino, Giovanna Castellano, Gennaro Vessio:
Exploiting Time in Adaptive Learning from Educational Data. HELMeTO 2020: 3-16 - [c13]Gabriella Casalino, Giovanna Castellano, Gianluca Zaza:
A mHealth solution for contact-less self-monitoring of blood oxygen saturation. ISCC 2020: 1-7
2010 – 2019
- 2019
- [j6]Gabriella Casalino, Giovanna Castellano, Corrado Mencar:
Data Stream Classification by Dynamic Incremental Semi-Supervised Fuzzy Clustering. Int. J. Artif. Intell. Tools 28(8): 1960009:1-1960009:26 (2019) - [j5]Gabriella Casalino, Giovanna Castellano, Vincenzo Pasquadibisceglie, Gianluca Zaza:
Contact-Less Real-Time Monitoring of Cardiovascular Risk Using Video Imaging and Fuzzy Inference Rules. Inf. 10(1): 9 (2019) - [c12]Gabriella Casalino, Giovanna Castellano, Corrado Mencar:
Credit card fraud detection by dynamic incremental semi-supervised fuzzy clustering. EUSFLAT Conf. 2019 - [c11]José Maria Alonso, Gabriella Casalino:
Explainable Artificial Intelligence for Human-Centric Data Analysis in Virtual Learning Environments. HELMeTO 2019: 125-138 - [c10]Gabriella Casalino, Giovanna Castellano, Corrado Mencar:
Incremental and Adaptive Fuzzy Clustering for Virtual Learning Environments Data Analysis. IV (1) 2019: 382-387 - [c9]Gabriella Casalino, Giovanna Castellano, Arianna Consiglio, Maria Liguori, Nicoletta Nuzziello, Davide Primiceri:
A Predictive Model for MicroRNA Expressions in Pediatric Multiple Sclerosis Detection. MDAI 2019: 177-188 - [c8]Gabriella Casalino, Giovanna Castellano, Vincenzo Pasquadibisceglie, Gianluca Zaza:
Evaluating End-User Perception Towards a Cardiac Self-care Monitoring Process. MobiHealth 2019: 43-59 - 2018
- [j4]Gabriella Casalino, Ciro Castiello, Nicoletta Del Buono, Corrado Mencar:
A framework for intelligent Twitter data analysis with non-negative matrix factorization. Int. J. Web Inf. Syst. 14(3): 334-356 (2018) - [c7]Gabriella Casalino, Giovanna Castellano, Corrado Mencar:
Incremental adaptive semi-supervised fuzzy clustering for data stream classification. EAIS 2018: 1-7 - [c6]Gabriella Casalino, Giovanna Castellano, Ciro Castiello, Vincenzo Pasquadibisceglie, Gianluca Zaza:
A Fuzzy Rule-Based Decision Support System for Cardiovascular Risk Assessment. WILF 2018: 97-108 - [c5]Gabriella Casalino, Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar:
Enhancing the DISSFCM Algorithm for Data Stream Classification. WILF 2018: 109-122 - 2017
- [j3]Gabriella Casalino, Nicolas Gillis:
Sequential dimensionality reduction for extracting localized features. Pattern Recognit. 63: 15-29 (2017) - [c4]Gabriella Casalino, Ciro Castiello, Nicoletta Del Buono, Corrado Mencar:
Intelligent Twitter Data Analysis Based on Nonnegative Matrix Factorizations. ICCSA (1) 2017: 188-202 - [c3]Gabriella Casalino, Ciro Castiello, Nicoletta Del Buono, Flavia Esposito, Corrado Mencar:
Q-matrix Extraction from Real Response Data Using Nonnegative Matrix Factorizations. ICCSA (1) 2017: 203-216 - 2015
- [i1]Gabriella Casalino, Nicolas Gillis:
Sequential Dimensionality Reduction for Extracting Localized Features. CoRR abs/1505.06957 (2015) - 2014
- [j2]Gabriella Casalino, Nicoletta Del Buono, Corrado Mencar:
Subtractive clustering for seeding non-negative matrix factorizations. Inf. Sci. 257: 369-387 (2014) - [c2]Gabriella Casalino, Nicoletta Del Buono, Corrado Mencar:
Part-Based Data Analysis with Masked Non-negative Matrix Factorization. ICCSA (6) 2014: 440-454 - 2012
- [j1]Gabriella Casalino, Nicoletta Del Buono, Massimo Minervini:
Nonnegative Matrix Factorizations Performing Object Detection and Localization. Appl. Comput. Intell. Soft Comput. 2012: 781987:1-781987:19 (2012) - 2011
- [c1]Gabriella Casalino, Nicoletta Del Buono, Corrado Mencar:
Subtractive Initialization of Nonnegative Matrix Factorizations for Document Clustering. WILF 2011: 188-195
Coauthor Index
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