Prediction of chronic damage in systemic lupus erythematosus by using machine-learning models von Ceccarelli, Fulvia, Sciandrone, Marco, Perricone, Carlo, Galvan, Giulio, Morelli, Francesco, Vicente, Luis Nunes, Leccese, Ilaria, Massaro, Laura, Cipriano, Enrica, Spinelli, Francesca Romana, Alessandri, Cristiano, Valesini, Guido, Conti, Fabrizio

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Match score dataset for team ball sports von Alleck, Thaksheel, Giovannelli, Tommaso, Vicente, Luis Nunes, Mitchell, Roman, Remen, Ori

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Convergence Rates of the Stochastic Alternating Algorithm for Bi-Objective Optimization von Liu, Suyun, Vicente, Luis Nunes

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Accuracy and fairness trade-offs in machine learning: a stochastic multi-objective approach von Liu, Suyun, Vicente, Luis Nunes

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Trust-Region Methods for the Derivative-Free Optimization of Nonsmooth Black-Box Functions von Liuzzi, Giampaolo, Lucidi, Stefano, Rinaldi, Francesco, Vicente, Luis Nunes

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COAP 2019 Best Paper Prize: Paper of S. Gratton, C. W. Royer, L. N. Vicente, and Z. Zhang

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Full-low evaluation methods for bound and linearly constrained derivative-free optimization von Royer, C. W., Sohab, O., Vicente, L. N.

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A Stochastic Alternating Balance k-Means Algorithm for Fair Clustering von Liu, Suyun, Vicente, Luis Nunes

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Optimal 3D printing of complex objects in a 5–axis printer von Ramos, B., Pinho, D., Martins, D., Vaz, A. I. F., Vicente, L. N.

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Optimization in Medicine von Alves, Carlos J. S, Pardalos, Panos M, Vicente, Luis Nunes

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An integrated assignment, routing, and speed model for roadway mobility and transportation with environmental, efficiency, and service goals von Giovannelli, Tommaso, Vicente, Luis Nunes

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The limitation of neural nets for approximation and optimization von Giovannelli, Tommaso, Sohab, Oumaima, Vicente, Luis Nunes

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Convergence rates of the stochastic alternating algorithm for bi-objective optimization von Liu, Suyun, Vicente, Luis Nunes

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The Sharpe predictor for fairness in machine learning von Liu, Suyun, Vicente, Luis Nunes

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A Stochastic Alternating Balance $k$-Means Algorithm for Fair Clustering von Liu, Suyun, Vicente, Luis Nunes

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Implicitly and densely discrete black-box optimization problems von Vicente, Luis Nunes

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Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach von Liu, Suyun, Vicente, Luis Nunes

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Stochastic trust-region and direct-search methods: A weak tail bound condition and reduced sample sizing von Rinaldi, Francesco, Vicente, Luis Nunes, Zeffiro, Damiano

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Full-Low Evaluation Methods For Bound and Linearly Constrained Derivative-Free Optimization von Royer, Clément W, Sohab, Oumaima, Vicente, Luis Nunes

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Modeling Hessian-vector products in nonlinear optimization: New Hessian-free methods von Song, Lili, Vicente, Luis Nunes

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