Theoretical Evaluation of Anisotropic Reflectance Correction Approaches for Addressing Multi-Scale Topographic Effects on the Radiation-Transfer Cascade in Mountain Environments. - Michael P. Bishop; Brennan W. Young; Jeffrey D. Colby; Roberto Furfaro; Enrico Schiassi; Zhaohui Chi (Remote. Sens., 2019)

Fuel-Efficient Powered Descent Guidance on Large Planetary Bodies via Theory of Functional Connections. - Hunter Johnston; Enrico Schiassi; Roberto Furfaro; Daniele Mortari (CoRR, 2020)

Extreme Theory of Functional Connections: A Physics-Informed Neural Network Method for Solving Parametric Differential Equations. - Enrico Schiassi; Carl Leake; Mario De Florio; Hunter Johnston; Roberto Furfaro; Daniele Mortari (CoRR, 2020)

Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations. - Enrico Schiassi; Roberto Furfaro; Carl Leake; Mario De Florio; Hunter Johnston; Daniele Mortari (Neurocomputing, 2021)

Extreme Theory of Functional Connections for Problems Involving Differential Equations with Applications to Optimal Control Problems. - Enrico Schiassi (2022)

Physics-Informed Neural Networks for 2nd order ODEs with sharp gradients. - Mario De Florio; Enrico Schiassi; Francesco Calabrò; Roberto Furfaro (J. Comput. Appl. Math., 2024)

Bellman Neural Networks for the Class of Optimal Control Problems With Integral Quadratic Cost. - Enrico Schiassi; Andrea D'Ambrosio; Roberto Furfaro (IEEE Trans. Artif. Intell., 2024)

Least Squares with Equality constraints Extreme Learning Machines for the resolution of PDEs. - Davide Elia De Falco; Enrico Schiassi; Francesco Calabrò (CoRR, 2025)