Diego H. Stalder

12 papers C 9Journal 1Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	GRU-Based Prediction of Paraguay River Levels using Hydro-meteorological Co-variates and Periodic Retraining. CLEI Nelson Ruiz, Giuliano Gonzalez, Diego P. Pinto-Roa, Diego H. Stalder, Max Pasten
2025	C	`conf`	Machine Learning Models for Water Level Prediction in Rapid Urban Streams: Case of Mburicaó, Asunción, Paraguay. CLEI Mathias Aguilar, Héctor Velázquez, Diego H. Stalder, Andrés Wehrle, Jazmín Ojeda, Leonardo B. L. Santos
2025	C	`conf`	Towards Real-Time Mosquito Counting Using YOLO Models and Knowledge Distillation. CLEI Diego Balbuena, Mathias Barrios, Matteo Martínez, Lucas Pin, Diego H. Stalder, Alejandro Reckziegel, Christian Schaerer, Nilsa González, María Ferreira, Cinthya Rodríguez
2024	C	`conf`	Intelligent System for the Tracking of Muon Traces in the CONNIE Experiment. CLEI Santiago Ferreyra, Diego H. Stalder, Jorge Molina
2024	J	`jnl`	Machine learning for electric energy consumption forecasting: Application to the Paraguayan system. Log. J. IGPL Felix Morales-Mareco, Miguel García-Torres, Federico Divina, Diego H. Stalder, Carlos Sauer Ayala
2023	C	`conf`	A Particle Identification in the CONNIE Experiment using Deep Learning Approach. CLEI Carlos Silva, Karina Aquino, Javier Bernal, Diego H. Stalder, Jorge Molina, Luis Salgueiro
2023	C	`conf`	Air Quality Time Series Forecasting Using Machine Learning Algorithms. CLEI Fernanda Carlés, Carolina Recalde, Carlos Sauer Ayala, Luis Bernal, Diego H. Stalder
2023	—	`conf`	Comparative Analysis of Statistical and Recurrent Neural Network Models for Short-Term River Level Forecasting in the Paraguay River. LA-CCI Gustavo A. Amarilla S, Diego H. Stalder, Max Pasten, Diego P. Pinto-Roa
2023	C	`conf`	Short-Term Electricity Demand Forecasting: Evaluating the Effectiveness of Statistical, Machine Learning, and Deep Learning Models. CLEI Felix Morales-Mareco, Carlos Sauer Ayala, Diego H. Stalder, Luis Salgueiro, Sebastián A. Grillo
2021	C	`conf`	A Recommender System Approach for Predicting Effective Antivirals. CLEI Rafael Adorno, Diego Galeano, Diego H. Stalder, Luca Cernuzzi, Alberto Paccanaro
2021	C	`conf`	Time Series Clustering to Improve Dengue Cases Forecasting with Deep Learning. CLEI J. V. Bogado, Diego H. Stalder, Christian E. Schaerer, Santiago Gómez-Guerrero
2014	—	`conf`	A Strategy to Workload Division for Massively Particle-Particle N-body Simulations on GPUs. ICCSA (6) Daniel Madeira, José Ricardo da S. Junior, Diego H. Stalder, Leonardo Rocha, Reinaldo R. Rosa, Otton T. Silveira Filho, Esteban Clua