Listar por autor "Constantinescu, Denisa-Andreea"
Mostrando ítems 1-7 de 7
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Efficiency and Productivity for Decision Making on Low-Power Heterogeneous CPU+GPU SoCs.
Constantinescu, Denisa-Andreea; González-Navarro, María Ángeles
; Corbera-Peña, Francisco Javier; Fernández-Madrigal, Juan Antonio; Asenjo-Plaza, Rafael (Springer Nature, 2021-01)
Markov decision processes provide a formal framework for a computer to make decisions autonomously and intelligently when the effects of its actions are not deterministic. This formalism has had tremendous success in many ... -
Enabling Easier Programming of Machine Learning Algorithms on Robots with oneAPI Toolkits.
Constantinescu, Denisa-Andreea; González-Navarro, María Ángeles; Asenjo-Plaza, Rafael; Fernández-Madrigal, Juan Antonio; Cruz-Martín, Ana María (SCV Chapter, IEEE Computer Society, 2022)
This work shows that it is feasible to solve large-scale decision-making problems for robot navigation in real-time onboard low-power heterogeneous CPU+iGPU platforms. We can achieve both performance and productivity by ... -
FADE: Forecasting for anomaly detection on ECG
Ruiz Barroso, Paula; Castro, Francisco M.; Miranda-Calero, José Ángel; Constantinescu, Denisa-Andreea; Atienza, David A.; Guil-Mata, Nicolás[et al.] (Elsevier, 2025-04-22)
Background and Objective: Cardiovascular diseases, a leading cause of noncommunicable disease-related deaths, require early and accurate detection to improve patient outcomes. Taking advantage of advances in machine learning ... -
Path planning for socially-aware humanoid robots
(2019-04-11)Designing efficient autonomous navigation systems for mobile robots involves consideration of the robotís environment while arriving at a systems architecture that trades off multiple constraints. We have architected a ... -
Solving Large-Scale Markov Decision Processes on Low-Power Heterogeneous Platforms
Constantinescu, Denisa-Andreea; González-Navarro, María Ángeles; Corbera-Peña, Francisco Javier; Fernández-Madrigal, Juan Antonio; Asenjo-Plaza, Rafael (2019-07-11)
Markov Decision Processes (MDPs) provide a framework for a machine to act autonomously and intelligently in environments where the effects of its actions are not deterministic. MDPs have numerous applications. We focus ... -
Three is not a crowd: ACPU-GPU-FPGA K-means implementation
(2017-06-15)Clustering is the task of assigning a set of objects into groups (clusters) so that objects in the same group are more similar to each other than to those in other groups. In particular, K-means is a clustering algorithm ... -
Towards energy efficiency and productivity for decision making in mobile robot navigation
(UMA Editorial, 2022-11)Our goal in this work is to make it easy and feasible to implement solutions for autonomous decision-making and planning under uncertainty on low-power mobile platforms. We focus on practical applications, such as autonomous ...