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Conference and Workshop Papers
- 2024
[c8]Santiago Ferreyra, Diego H. Stalder, Jorge Molina:
Intelligent System for the Tracking of Muon Traces in the CONNIE Experiment. CLEI 2024: 1-10- 2023
- [c7]Fernanda Carlés, Carolina Recalde, Carlos Sauer Ayala, Luis Bernal, Diego H. Stalder:
Air Quality Time Series Forecasting Using Machine Learning Algorithms. CLEI 2023: 1-9 - [c6]Felix Morales-Mareco, Carlos Sauer Ayala, Diego H. Stalder, Luis Salgueiro, Sebastián A. Grillo:
Short-Term Electricity Demand Forecasting: Evaluating the Effectiveness of Statistical, Machine Learning, and Deep Learning Models. CLEI 2023: 1-10 - [c5]Carlos Silva, Karina Aquino, Javier Bernal, Diego H. Stalder, Jorge Molina, Luis Salgueiro:
A Particle Identification in the CONNIE Experiment using Deep Learning Approach. CLEI 2023: 1-8 - [c4]Gustavo A. Amarilla S, Diego H. Stalder, Max Pasten, Diego P. Pinto-Roa:
Comparative Analysis of Statistical and Recurrent Neural Network Models for Short-Term River Level Forecasting in the Paraguay River. LA-CCI 2023: 1-6 - 2021
- [c3]Rafael Adorno, Diego Galeano
, Diego H. Stalder, Luca Cernuzzi, Alberto Paccanaro:
A Recommender System Approach for Predicting Effective Antivirals. CLEI 2021: 1-10 - [c2]J. V. Bogado, Diego H. Stalder, Christian E. Schaerer, Santiago Gómez-Guerrero:
Time Series Clustering to Improve Dengue Cases Forecasting with Deep Learning. CLEI 2021: 1-10 - 2014
- [c1]Daniel Madeira, José Ricardo da S. Junior, Diego H. Stalder, Leonardo Rocha, Reinaldo R. Rosa, Otton T. Silveira Filho, Esteban Clua:
A Strategy to Workload Division for Massively Particle-Particle N-body Simulations on GPUs. ICCSA (6) 2014: 455-465
Coauthor Index
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