Carlos Henrique Cardonha
Assistant Professor/Operations and Info Management

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Scholarly Contributions

13 Scholarly Contributions

12
Journal Articles
1
Conference Proceedings
A Two-Phases Exact Algorithm for Optimization of Neural Network Ensemble
David Bergman, Carlos Cardonha, Keliang Wang, Leonardo Lozano
Research Type: Conference Proceedings
Algorithms for the Bin Packing Problem with Minimum Color Fragmentation
David Bergman, Carlos Cardonha, Saharnaz Mehrani
Research Type: Journal Article
Cardinality-Constrained Knapsack Problem with Concave Piecewise-Linear Utilities
Miao Bai
Research Type: Journal Article
Consistent assortment optimization under uncertainty
Aritanan Gruber, Carlos Cardonha
Research Type: Journal Article
Maximizing student opportunities for in-person classes under pandemic capacity reductions
Carlos Cardonha, David Bergman, Carlos Cardonha
Research Type: Journal Article
Network Models for Multiobjective Discrete Optimization
Merve Bodur, Andre Cire, David Bergman, Carlos Cardonha
Research Type: Journal Article
Network-based Approaches for Two-Stage Stochastic Discrete Optimization Problems
Adam Diamant, Andre A Cire, Carlos Cardonha
Research Type: Journal Article
On Approximate Sequencing Policies for Linear Storage Devices
Carlos Cardonha, Andre Cire, Lucas Villa Real
Research Type: Journal Article
Online Seat Reservation for Groups Requests with Fairness Constraints
Arvind Raghunathan, Carlos Cardonha
Research Type: Journal Article
Optimizing over an ensemble of trained neural networks
Keliang Wang, Leonardo Lozano, Carlos Cardonha, David Bergman
2023
Research Type: Journal Article
Optimizing the expected maximum of two linear functions defined on a multivariate Gaussian distribution
Jason Imbrogno, Leonardo Lozano, Carlos Cardonha, David Bergman
2022
Research Type: Journal Article
Recursive McCormick Linearization of Multilinear Programs
Carlos Cardonha, Carlos Nohra, Arvind Raghunathan, David Bergman
Research Type: Journal Article
The Madness of Multiple Entries in March Madness
Andrea Lodi, Carlos Cardonha, David Bergman, Jeff Sylvestre-Decary, Jason Imbrogno
Research Type: Journal Article