19 citations · 21 across the 2 of their papers we have counts for
5 papers
Combining Constructive and Perturbative Deep Learning Algorithms for the Capacitated Vehicle Routing Problem
Roberto García-Torres, Alitzel Adriana Macias-Infante, Santiago Enrique Conant-Pablos +2
The Capacitated Vehicle Routing Problem is a well-known NP-hard problem that poses the challenge of finding the optimal route of a vehicle delivering products to multiple locations…
A Straightforward Framework For Video Retrieval Using CLIP
Jesús Andrés Portillo-Quintero, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín
Video Retrieval is a challenging task where a text query is matched to a video or vice versa. Most of the existing approaches for addressing such a problem rely on annotations made…
Detecting Suspicious Behavior: How to Deal with Visual Similarity through Neural Networks
Guillermo A. Martínez-Mascorro, José C. Ortiz-Bayliss, Hugo Terashima-Marín
Suspicious behavior is likely to threaten security, assets, life, or freedom. This behavior has no particular pattern, which complicates the tasks to detect it and define it. Even…
Suspicious Behavior Detection on Shoplifting Cases for Crime Prevention by Using 3D Convolutional Neural Networks
Guillermo A. Martínez-Mascorro, José R. Abreu-Pederzini, José C. Ortiz-Bayliss +1
Crime generates significant losses, both human and economic. Every year, billions of dollars are lost due to attacks, crimes, and scams. Surveillance video camera networks are gene…
Enhancing Selection Hyper-heuristics via Feature Transformations
I. Amaya, J. C. Ortiz-Bayliss, A. Rosales-Pérez +4
Hyper-heuristics are a novel tool. They deal with complex optimization problems where standalone solvers exhibit varied performance. Among such a tool reside selection hyper-heuris…