Stefania Tomasiello

Orcid: 0000-0003-2830-7525

According to our database1, Stefania Tomasiello authored at least 59 papers between 2010 and 2024.

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Bibliography

2024
Using fuzzy transforms for neural networks-based wireless localization in outdoor environments.
Neural Comput. Appl., November, 2024

Performance assessment of the main metaheuristics for sustainable supply chains.
Evol. Intell., June, 2024

Using fuzzy transform for sustainable fake news detection.
Appl. Soft Comput., January, 2024

Special issue on "Towards robust explainable and interpretable artificial intelligence".
Evol. Intell., 2024

Detecting Fake Images Using Neuro-Fuzzy Inference Systems: A Brief Comparative Analysis.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

2023
Using Hamiltonian Neural Networks to Model Two Coupled Duffing Oscillators.
Neural Process. Lett., December, 2023

Data-driven approaches for sustainable agri-food: coping with sustainability and interpretability.
J. Ambient Intell. Humaniz. Comput., December, 2023

An alternative formulation of the differential quadrature method with a neural network perspective.
Int. J. Comput. Math., June, 2023

2022
On Fractional Tikhonov Regularization: Application to the Adaptive Network-Based Fuzzy Inference System for Regression Problems.
IEEE Trans. Fuzzy Syst., 2022

Binary cross-entropy with dynamical clipping.
Neural Comput. Appl., 2022

Improved determination of the weights in a clustering approach based on a weighted dissimilarity measure between fuzzy data.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

An Explainable Mental Health Fuzzy Deep Active Learning Technique.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Predicting the soil organic carbon by recent machine learning algorithms.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

2021
Least-Squares Fuzzy Transforms and Autoencoders: Some Remarks and Application.
IEEE Trans. Fuzzy Syst., 2021

Fuzzy-based approaches for agri-food supply chains: a mini-review.
Soft Comput., 2021

A granular recurrent neural network for multiple time series prediction.
Neural Comput. Appl., 2021

Numerical schemes and genetic algorithms for the optimal control of a continuous model of supply chains.
Appl. Math. Comput., 2021

ANFIS with fractional regularization for supply chains cost and return evaluation.
Proceedings of WILF 2021, 2021

Research perspective: the role of automated machine learning in fuzzy logic.
Proceedings of WILF 2021, 2021

Some Remarks on ANFIS for Forest Fires Prediction.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020
Finite-time stability for uncertain differential equations: a first investigation on a new class of multi-agent systems.
Soft Comput., 2020

On a granular functional link network for classification.
Neurocomputing, 2020

Using local learning with fuzzy transform: application to short term forecasting problems.
Fuzzy Optim. Decis. Mak., 2020

Special issue on "Intelligent and fuzzy systems in data science and big data".
Evol. Intell., 2020

A granular functional network classifier for brain diseases analysis.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020

Link Prediction in Social Networks by Variational Graph Autoencoder and Similarity-Based Methods: A Brief Comparative Analysis.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
A review on the application of fuzzy transform in data and image compression.
Soft Comput., 2019

New sinusoidal basis functions and a neural network approach to solve nonlinear Volterra-Fredholm integral equations.
Neural Comput. Appl., 2019

Revising recurrent neural networks from a granular perspective.
Appl. Soft Comput., 2019

2018
Self-regulated learning with approximate reasoning and situation awareness.
J. Ambient Intell. Humaniz. Comput., 2018

A Granular Functional Network with delay: Some dynamical properties and application to the sign prediction in social networks.
Neurocomputing, 2018

2017
Fuzzy Transform Based Compression of Electric Signal Waveforms for Smart Grids.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Fitted Q-iteration and functional networks for ubiquitous recommender systems.
Soft Comput., 2017

Using fuzzy transform in multi-agent based monitoring of smart grids.
Inf. Sci., 2017

An alternative use of fuzzy transform with application to a class of delay differential equations.
Int. J. Comput. Math., 2017

Joining fuzzy transform and local learning for wind power forecasting.
Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

A First Investigation on the Dynamics of Two Delayed Neurons through Fuzzy Transform Approximation.
Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

Revising Antimirov's Partial Derivatives for Fuzzy Regular Expressions.
Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

Fuzzy Transform to Approximate Solution of Boundary Value Problems via Optimal Coefficients.
Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

Granularity into Functional Networks.
Proceedings of the 3rd IEEE International Conference on Cybernetics, 2017

2016
A differential quadrature-based approach à la Picard for systems of partial differential equations associated with fuzzy differential equations.
J. Comput. Appl. Math., 2016

Cubic B-spline fuzzy transforms for an efficient and secure compression in wireless sensor networks.
Inf. Sci., 2016

Enhancing augmented reality with cognitive and knowledge perspectives: a case study in museum exhibitions.
Behav. Inf. Technol., 2016

A Differential Quadrature based procedure for parameter identification.
Appl. Math. Comput., 2016

Improving Approximation Properties of Fuzzy Transform Through Non-uniform Partitions.
Proceedings of the Fuzzy Logic and Soft Computing Applications, 2016

A fuzzy consensus approach for Group Decision Making with variable importance of experts.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
Multisignal 1-D compression by F-transform for wireless sensor networks applications.
Appl. Soft Comput., 2015

Corrigendum to "Some remarks on a new DQ-based method for solving a class of Volterra integro-differential equations" [Appl. Math. Comput. 219(2012) 399-407].
Appl. Math. Comput., 2015

Handling Continuity in Seamless Learning via Opportunistic Recognition and Evaluation of Activity Cohesion.
Proceedings of the 2015 International Conference on Intelligent Networking and Collaborative Systems, 2015

2014
A fuzzy functional network for nonlinear regression problems.
Int. J. Knowl. Eng. Soft Data Paradigms, 2014

A new DQ-based method and its application to the stability of columns.
Appl. Math. Comput., 2014

A Dialogue-Based Approach Enhanced with Situation Awareness and Reinforcement Learning for Ubiquitous Access to Linked Data.
Proceedings of the 2014 International Conference on Intelligent Networking and Collaborative Systems, 2014

2013
An extended functional network model and its application for a gas sensing system.
Soft Comput., 2013

A Generalized Functional Network for a Classifier-Quantifiers Scheme in a Gas-Sensing System.
Int. J. Intell. Syst., 2013

2012
Some remarks on a new DQ-based method for solving a class of Volterra integro-differential equations.
Appl. Math. Comput., 2012

2011
Numerical stability of DQ solutions of wave problems.
Numer. Algorithms, 2011

Solving 2D-wave problems by the iterative differential quadrature method.
Int. J. Comput. Math., 2011

A note on three numerical procedures to solve Volterra integro-differential equations in structural analysis.
Comput. Math. Appl., 2011

2010
Numerical solutions of the Burgers-Huxley equation by the IDQ method.
Int. J. Comput. Math., 2010


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