Optimum Network/Framework Selection from High-Level Specifications in Embedded Deep Learning Vision Applications. - Delia Velasco-Montero; Jorge Fernández-Berni; Ricardo Carmona-Galán; Ángel Rodríguez-Vázquez (ACIVS, 2018)

On-The-Fly Deployment of Deep Neural Networks on Heterogeneous Hardware in a Low-Cost Smart Camera. - Delia Velasco-Montero; Jorge Fernández-Berni; Ricardo Carmona-Galán; Ángel Rodríguez-Vázquez (ICDSC, 2018)

Optimum Selection of DNN Model and Framework for Edge Inference. - Delia Velasco-Montero; Jorge Fernández-Berni; Ricardo Carmona-Galán; Ángel Rodríguez-Vázquez (IEEE Access, 2018)

CNN Performance Prediction on a CPU-based Edge Platform. - Delia Velasco-Montero; Jorge Fernández-Berni; Ricardo Carmona-Galán; Ángel Rodríguez-Vázquez (ICDSC, 2019)

On the Correlation of CNN Performance and Hardware Metrics for Visual Inference on a Low-Cost CPU-based Platform. - Delia Velasco-Montero; Jorge Femández-Bemi; Ricardo Carmona-Galán; Ángel Rodríguez-Vázquez (IWSSIP, 2019)

Impact of Thermal Throttling on Long-Term Visual Inference in a CPU-based Edge Device. - Théo Benoit-Cattin; Delia Velasco-Montero; Jorge Fernández-Berni (CoRR, 2020)

PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices. - Delia Velasco-Montero; Jorge Fernández-Berni; Ricardo Carmona-Galán; Ángel Rodríguez-Vázquez (IEEE Internet Things J., 2020)

A Pipelining-Based Heterogeneous Scheduling and Energy-Throughput Optimization Scheme for CNNs Leveraging Apache TVM. - Delia Velasco-Montero; Bart Goossens; Jorge Fernández-Berni; Ángel Rodríguez-Vázquez; Wilfried Philips (IEEE Access, 2023)

Reliable and efficient integration of AI into camera traps for smart wildlife monitoring based on continual learning. - Delia Velasco-Montero; Jorge Fernández-Berni; Ricardo Carmona-Galán; Ariadna Sanglas; Francisco Palomares (Ecol. Informatics, 2024)