33 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of ChileCL6 papers
- Universidad de Los Andes, ChileCL3 papers
- Georgia Institute of TechnologyUS2 papers
- Clínica Las CondesCL1 paper
- ESE Business SchoolCL1 paper
- European Telecommunications Standards InstituteFR1 paper
- Hospital Clínico de la Universidad de ChileCL1 paper
- IIT@MITUS1 paper
- Imperial College LondonGB1 paper
- Ingeniería y Soluciones Informáticas (Spain)ES1 paper
- Institute for Cross-Disciplinary Physics and Complex SystemsES1 paper
- KU LeuvenBE1 paper
10 papers
Emergent Complexity in Nuclear Reaction Networks: A Study of Stellar Nucleosynthesis through Chemical Organization Theory
Pedro Maldonado-Lang, Clément Vidal
We explore the emergence of complex structures within reaction networks, focusing on nuclear reaction networks relevant to stellar nucleosynthesis. The work presents a theoretical…
Data-driven joint optimization of maintenance and spare parts provisioning: A distributionally robust approach
Heraldo Rozas, Weijun Xie, Nagi Gebraeel +1
This paper investigates the joint optimization of condition-based maintenance and spare provisioning, incorporating insights obtained from sensor data. Prognostic models estimate c…
Cost Allocation for Inertia and Frequency Response Ancillary Services
Carlos Matamala, Luis Badesa, Rodrigo Moreno +1
The reduction in system inertia is creating an important market for frequency-containment Ancillary Services (AS) such as enhanced frequency response (e.g.,~provided by battery sto…
OWAdapt: An adaptive loss function for deep learning using OWA operators
Sebastián Maldonado, Carla Vairetti, Katherine Jara +2
In this paper, we propose a fuzzy adaptive loss function for enhancing deep learning performance in classification tasks. Specifically, we redefine the cross-entropy loss to effect…
One-step learning algorithm selection for classification via convolutional neural networks
Sebastian Maldonado, Carla Vairetti, Ignacio Figueroa
As with any task, the process of building machine learning models can benefit from prior experience. Meta-learning for classifier selection leverages knowledge about the characteri…
Predicting student performance using sequence classification with time-based windows
Galina Deeva, Johannes De Smedt, Cecilia Saint-Pierre +2
A growing number of universities worldwide use various forms of online and blended learning as part of their academic curricula. Furthermore, the recent changes caused by the COVID…
Non-Hermitian topological mobility edges and transport in photonic quantum walks
Stefano Longhi
In non-Hermitian quasicrystals, mobility edges (ME) separating localized and extended states in complex energy plane can arise as a result of non-Hermitian terms in the Hamiltonian…
Colorectal cancer trends in Chile: a Latin-American country with marked socioeconomic inequities
Susana Mondschein, Felipe Subiabre, Natalia Yankovic +3
Colorectal cancer (CRC) is the third most frequent malignant disease in the world. In some countries with established screening programs, its incidence and mortality have decreased…
Replacing quarantine of COVID-19 contacts with periodic testing is also effective in mitigating the risk of transmission
Patricio Foncea, Susana Mondschein, Marcelo Olivares
The quarantine of identified close contacts has been vital to reducing transmission rates and averting secondary infection risk before symptom onset and by asymptomatic cases. The…
Network Congestion Control with Markovian Multipath Routing
Roberto Cominetti, Cristobal Guzman
In this paper we consider an integrated model for TCP/IP protocols with multipath routing. The model combines a Network Utility Maximization for rate control based on end-to-end qu…