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PSO-PARSIMONY: A method for finding parsimonious and accurate machine learning models with particle swarm optimization. Application for predicting force-displacement curves in T-stub steel connections.

, , , , and . Neurocomputing, (2023)

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A Formal Proof of the Computation of Hermite Normal Form in a General Setting., and . AISC, volume 11110 of Lecture Notes in Computer Science, page 37-53. Springer, (2018)Formalizing the LLL Basis Reduction Algorithm and the LLL Factorization Algorithm in Isabelle/HOL., , , , , and . J. Autom. Reason., 64 (5): 827-856 (2020)Applications of the Gauss-Jordan algorithm, done right., and . CoRR, (2014)Artificial Intelligence Models for Assessing the Evaluation Process of Complex Student Projects., , , and . IEEE Trans. Learn. Technol., 16 (5): 694-707 (October 2023)Sensitivity analysis of discrete preference functions using Koszul simplicial complexes., , , and . ISSAC, page 227-235. ACM, (2023)Correction to: A Formalization of the Smith Normal Form in Higher-Order Logic., and . J. Autom. Reason., 66 (4): 1097 (2022)Zigzag persistence for image processing: New software and applications., , , and . Pattern Recognit. Lett., (2024)Effective Homology of Universal Covers., , and . ACM Commun. Comput. Algebra, 57 (2): 47-50 (June 2023)Computing invariants for multipersistence via spectral systems and effective homology., , , and . J. Symb. Comput., (2021)Using Krakatoa for Teaching Formal Verification of Java Programs., and . FMTea, volume 11758 of Lecture Notes in Computer Science, page 37-51. Springer, (2019)