Diego H. Stalder

According to our database, Diego H. Stalder authored at least 12 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

GRU-Based Prediction of Paraguay River Levels using Hydro-meteorological Co-variates and Periodic Retraining.

Nelson Ruiz, Giuliano Gonzalez, Diego P. Pinto-Roa, Diego H. Stalder, Max Pasten

Proceedings of the LI Latin American Computer Conference, 2025

Towards Real-Time Mosquito Counting Using YOLO Models and Knowledge Distillation.

Diego Balbuena, Mathias Barrios, Matteo Martínez, Lucas Pin, Diego H. Stalder, Alejandro Reckziegel, Christian Schaerer, Nilsa González, María Ferreira, Cinthya Rodríguez

Proceedings of the LI Latin American Computer Conference, 2025

Machine Learning Models for Water Level Prediction in Rapid Urban Streams: Case of Mburicaó, Asunción, Paraguay.

Mathias Aguilar, Héctor Velázquez, Diego H. Stalder, Andrés Wehrle, Jazmín Ojeda, Leonardo B. L. Santos

Proceedings of the LI Latin American Computer Conference, 2025

2024

Machine learning for electric energy consumption forecasting: Application to the Paraguayan system.

Felix Morales-Mareco, Miguel García-Torres, Federico Divina, Diego H. Stalder, Carlos Sauer Ayala

Log. J. IGPL, 2024

Intelligent System for the Tracking of Muon Traces in the CONNIE Experiment.

Santiago Ferreyra, Diego H. Stalder, Jorge Molina

Proceedings of the L Latin American Computer Conference, 2024

2023

Comparative Analysis of Statistical and Recurrent Neural Network Models for Short-Term River Level Forecasting in the Paraguay River.

Gustavo A. Amarilla S, Diego H. Stalder, Max Pasten, Diego P. Pinto-Roa

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

A Particle Identification in the CONNIE Experiment using Deep Learning Approach.

Carlos Silva, Karina Aquino, Javier Bernal, Diego H. Stalder, Jorge Molina, Luis Salgueiro

Proceedings of the XLIX Latin American Computer Conference, 2023

Short-Term Electricity Demand Forecasting: Evaluating the Effectiveness of Statistical, Machine Learning, and Deep Learning Models.

Felix Morales-Mareco, Carlos Sauer Ayala, Diego H. Stalder, Luis Salgueiro, Sebastián A. Grillo

Proceedings of the XLIX Latin American Computer Conference, 2023

Air Quality Time Series Forecasting Using Machine Learning Algorithms.

Fernanda Carlés, Carolina Recalde, Carlos Sauer Ayala, Luis Bernal, Diego H. Stalder

Proceedings of the XLIX Latin American Computer Conference, 2023

2021

Time Series Clustering to Improve Dengue Cases Forecasting with Deep Learning.

J. V. Bogado, Diego H. Stalder, Christian E. Schaerer, Santiago Gómez-Guerrero

Proceedings of the XLVII Latin American Computing Conference, 2021

A Recommender System Approach for Predicting Effective Antivirals.

Rafael Adorno, Diego Galeano, Diego H. Stalder, Luca Cernuzzi, Alberto Paccanaro

Proceedings of the XLVII Latin American Computing Conference, 2021

2014

A Strategy to Workload Division for Massively Particle-Particle N-body Simulations on GPUs.

Daniel Madeira, José Ricardo da S. Junior, Diego H. Stalder, Leonardo Rocha, Reinaldo R. Rosa, Otton T. Silveira Filho, Esteban Clua

Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014