An Approach for Creating KDM2PSM Transformation Engines in ADM Context: The RUTE-K2J Case. - Guisella Angulo; Daniel San Martín; Bruno Marinho Santos; Fabiano Cutigi Ferrari; Valter Vieira de Camargo (SBCARS, 2018)

Ngen-Kütral: Toward an Open Source Framework for Chilean Wildfire Spreading. - Daniel San Martín; Claudio E. Torres (SCCC, 2018)

Concern Metrics for Modularity-Oriented Modernizations. - Bruno Marinho Santos; Daniel San Martín; Raphael Rodrigues Honda; Valter Vieira de Camargo (QUATIC, 2019)

Exploring a Spectral Numerical Algorithm for Solving a Wildfire Mathematical Model. - Daniel San Martín; Claudio E. Torres (SCCC, 2019)

A Deep Learning Model for Chilean Bills Classification. - Daniel San Martín; Daniel Manzano (CoRR, 2019)

Characterizing Architectural Drifts of Adaptive Systems. - Daniel San Martín; Bento R. Siqueira; Valter Vieira de Camargo; Fabiano Cutigi Ferrari (SANER, 2020)

Specification and use of concern metrics for supporting modularity-oriented modernizations. - Daniel San Martín; Guisella Angulo; Bruno Marinho Santos; Raphael Rodrigues Honda; Valter Vieira de Camargo (Softw. Qual. J., 2020)

A Domain-Specific Language to Specify Planned Architectures of Adaptive Systems. - Daniel San Martín; Valter Vieira de Camargo (SBCARS, 2021)

Quality Management Framework for Climate Datasets. - Carlo Lacagnina; Francisco Doblas-Reyes; Gilles Larnicol; Carlo Buontempo; André Obregón; Montserrat Costa-Surós; Daniel San Martín; Pierre-Antoine Bretonnière; Suraj D. Polade; Vanya Romanova; Davide Putero; Federico Serva; et al. (Data Sci. J., 2022)

Architectural conformance checking for KDM-represented systems. - André de S. Landi; Daniel San Martín; Bruno Marinho Santos; Warteruzannan Soyer Cunha; Rafael S. Durelli; Valter Vieira de Camargo (J. Syst. Softw., 2022)

A GPU Numerical Implementation of a 2D Simplified Wildfire Spreading Model. - Daniel San Martín; Claudio E. Torres (CARLA, 2023)

Improving awareness of natural disasters through a web platform for past and present views. - Roberto Aldunate; Daniel San Martín; Oriel A. Herrera (SCCC, 2023)

Software Architecture Evaluation of a Machine Learning Enabled System: A Case Study. - Pablo Cruz; Gustavo Ulloa; Daniel San Martín; Alejandro Veloz (SCCC, 2023)

Exploring a Deep Learning Approach for Video Analysis Applied to Older Adults Fall Risk. - Roberto Aldunate; Daniel San Martín; Daniel Manzano (WorldCIST (3), 2023)

2D Simplified Wildfire Spreading Model in Python: From NumPy to CuPy. - Daniel San Martín; Claudio E. Torres (CLEI Electron. J., 2023)

A Reflective Architecture for Agent-Based Models Applied to Social Network Sites. - Diego Nuñez; Tomás Vélez; Paul Leger; Daniel San Martín (ICEIS (1), 2024)

Validation of a Bebras-Based Test to Assess Computational Thinking Abilities in First-Year College Students. - Federico Meza; Andrea Vásquez; Daniel San Martín (SIGCSE (2), 2024)

Exploring a Self-Replication Algorithm to Flexibly Match Patterns. - Paul Leger; Hiroaki Fukuda; Nicolás Cardozo; Daniel San Martín (IEEE Access, 2024)

A KDM-Based Approach for Architecture Conformance Checking in Adaptive Systems. - Daniel San Martín; Guisella Angulo; Valter Vieira de Camargo (CoRR, 2024)

Transformer based super-resolution downscaling for regional reanalysis: Full domain vs tiling approaches. - Antonio Pérez; Mario Santa Cruz; Daniel San Martín; José Manuel Gutiérrez (CoRR, 2024)

A process for creating KDM2PSM transformation engines. - Guisella Angulo; Daniel San Martín; Fabiano Ferrari 001; Ignacio García Rodríguez de Guzmán; Ricardo Pérez-Castillo; Valter Vieira de Camargo (Int. J. Softw. Tools Technol. Transf., 2024)

Simplified coupled atmosphere-fire model for simulation of 2D wildland fires. - Daniel San Martín; Claudio E. Torres (Comput. Phys. Commun., 2025)