Forecasting Cash Demand in ATM Using Neural Networks and Least Square Support Vector Machine. - Cristián Ramírez; Gonzalo Acuña (CIARP, 2011)

Comparing NARX and NARMAX models using ANN and SVM for cash demand forecasting for ATM. - Gonzalo Acuña; Cristián Ramírez; Millaray Curilem (IJCNN, 2012)

SHREC 2020: 3D point cloud semantic segmentation for street scenes. - Tao Ku; Remco C. Veltkamp; Bas Boom; David Duque-Arias; Santiago Velasco-Forero; Jean-Emmanuel Deschaud; François Goulette; Beatriz Marcotegui; Sebastián Ortega; Agustín Trujillo; José Pablo Suárez; José Miguel Santana; et al. (Comput. Graph., 2020)

Performance Analysis of Convolution Algorithms for Deep Learning on Edge Processors. - Pedro Alonso-Jordá; Héctor Martínez 002; Enrique S. Quintana-Ortí; Cristián Ramírez (PPAM (2), 2022)

Performance Analysis of Matrix Multiplication for Deep Learning on the Edge. - Cristián Ramírez; Adrián Castelló 001; Héctor Martínez 002; Enrique S. Quintana-Ortí (ISC Workshops, 2022)

A BLIS-like matrix multiplication for machine learning in the RISC-V ISA-based GAP8 processor. - Cristián Ramírez; Adrián Castelló 001; Enrique S. Quintana-Ortí (J. Supercomput., 2022)

Parallel GEMM-based convolution for deep learning on multicore RISC-V processors. - Cristián Ramírez; Adrián Castelló 001; Héctor Martínez 002; Enrique S. Quintana-Ortí (J. Supercomput., 2024)

Communication-Avoiding Fusion of GEMM-Based Convolutions for Deep Learning in the RISC-V GAP8 MCU. - Cristián Ramírez; Adrián Castelló 001; Héctor Martínez 002; Enrique S. Quintana-Ortí (IEEE Internet Things J., 2024)