José Luís Espinosa-Aranda

Fight Recognition in Video Using Hough Forests and 2D Convolutional Neural Network

Ismael Serrano, Óscar Déniz, José Luís Espinosa-Aranda et al. · IEEE Transactions on Image Processing · 2018 · 145 citations

Convolutional Neural Network, Engineering, Machine Learning +16

High-speed railway scheduling based on user preferences

José Luís Espinosa-Aranda, Ricardo Garćıa-Ródenas, María del Carmen Ramírez-Flores et al. · European Journal of Operational Research · 2015 · 41 citations

Mathematical Programming, Railway Traffic, Engineering +11

Benchmarking Deep Learning Inference of Remote Sensing Imagery on the Qualcomm Snapdragon And Intel Movidius Myriad X Processors Onboard the International Space Station

Emily Dunkel, Jason Swope, Zaid J. Towfic et al. · IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium · 2022 · 38 citations

Convolutional Neural Network, Image Analysis, Machine Learning +15

A demand-based weighted train delay approach for rescheduling railway networks in real time

José Luís Espinosa-Aranda, Ricardo Garćıa-Ródenas · Journal of Rail Transport Planning & Management · 2013 · 37 citations

Railway Traffic, Engineering, Rail Transport +9

A Discrete Event-Based Simulation Model for Real-Time Traffic Management in Railways

José Luís Espinosa-Aranda, Ricardo Garćıa-Ródenas · Journal of Intelligent Transportation Systems · 2012 · 27 citations

Railway Traffic, Transport Network Analysis, Engineering +19