33 citations · 72 across the 15 of their papers we have counts for
16 papers
A Bayesian Additive Regression Trees Model for zero and one inflated data for Predicting Individual Treatment Effects in Alcohol Use Disorder Trials
Pamela Solano, M Lee Van Horn, Kyle Walters +4
Alcohol Use Disorder (AUD) treatment presents high individual-level heterogeneity, with outcomes ranging from complete abstinence to persistent heavy drinking. This variability-dri…
Unsupervised anomaly detection in MeV ultrafast electron diffraction
Mariana A. Fazio, Manel Martinez-Ramon, Salvador Sosa Güitron +5
MeV ultrafast electron diffraction (MUED) is a pump-probe technique used to study the dynamic structural evolution of materials. An ultrashort laser pulse triggers structural chang…
Adaptive Sparse Gaussian Process
Vanessa Gómez-Verdejo, Emilio Parrado-Hernández, Manel Martínez-Ramón
Adaptive learning is necessary for non-stationary environments where the learning machine needs to forget past data distribution. Efficient algorithms require a compact model updat…
Radio Resource Management for eICIC, CoMP, Relaying and Back-Hauls Techniques in LTE-Advanced Networks, Concepts and a Literature Survey
Najem N Sirhan, Manel Martinez-Ramon
Frequency reuse in cells is one of the strategies that LTE uses to maximize the spectrum efficiency. However, it leads to an interference among the cells, especially at the cell ed…
QoS-based Packet Scheduling Algorithms for Heterogeneous LTE-Advanced Networks, Concepts and a Literature Survey
Najem N Sirhan, Manel Martinez-Ramon
The number of LTE users and their applications has increased significantly in the last decade, which increased the demand on the mobile network. LTE-Advanced comes with many featur…
Cognitive Radio Resource Scheduling using Multi agent QLearning for LTE
Najem N Sirhan, Manel Martinez-Ramon
In this paper, we propose, implement, and test two novel downlink LTE scheduling algorithms. The implementation and testing of these algorithms were in Matlab, and they are based o…
LTE Cellular Networks Packet Scheduling Algorithms in Downlink and Uplink Transmission, A Survey
Najem N Sirhan, Manel Martinez-Ramon
This survey paper provides a detailed explanation of Long Term Evolution cellular network packet scheduling algorithms in both downlink and uplink directions. It starts by explaini…
Girasol, a Sky Imaging and Global Solar Irradiance Dataset
Guillermo Terrén-Serrano, Adnan Bashir, Trilce Estrada +1
The energy available in Micro Grid (MG) that is powered by solar energy is tightly related to the weather conditions in the moment of generation. Very short-term forecast of solar…
A deep Q-Learning based Path Planning and Navigation System for Firefighting Environments
Manish Bhattarai, Manel Martinez-Ramon
Live fire creates a dynamic, rapidly changing environment that presents a worthy challenge for deep learning and artificial intelligence methodologies to assist firefighters with s…
A Novel Indoor Positioning System for unprepared firefighting scenarios
Vamsi Karthik Vadlamani, Manish Bhattarai, Meenu Ajith +1
Situational awareness and Indoor location tracking for firefighters is one of the tasks with paramount importance in search and rescue operations. For Indoor Positioning systems (I…
A conditional one-output likelihood formulation for multitask Gaussian processes
Óscar García-Hinde, Vanessa Gómez-Verdejo, Manel Martínez-Ramón
Multitask Gaussian processes (MTGP) are the Gaussian process (GP) framework's solution for multioutput regression problems in which the elements of the regressors cannot be con…
Studies in Applying Machine Learning to LLRF and Resonance Control in Superconducting RF Cavities
Jorge Alberto Diaz Cruz, Sandra Biedron, Manel Martinez-Ramon +2
Superconducting Radio-Frequency (SRF) cavities operating in continuous wave (CW) mode and with low beam loading are devices characterized by a high loaded quality factor, in the or…
Data Selection for Short Term load forecasting
Nestor Pereira, Miguel Angel Hombrados Herrera, Vanesssa Gómez-Verdejo +2
Power load forecast with Machine Learning is a fairly mature application of artificial intelligence and it is indispensable in operation, control and planning. Data selection techn…
Unsupervised Segmentation of Fire and Smoke from Infra-Red Videos
Meenu Ajith, Manel Martínez-Ramón
This paper proposes a vision-based fire and smoke segmentation system which use spatial, temporal and motion information to extract the desired regions from the video frames. The f…
Breath Activity Detection Algorithm
Eric E. Hamke, Ramiro Jordan, Manel Ramon-Martinez
This report describes the use of a support vector machines with a novel kernel, to determine the breathing rate and inhalation duration of a fire fighter wearing a Self-Contained B…
A Unified SVM Framework for Signal Estimation
José Luis Rojo-Álvarez, Manel Martínez-Ramón, Jordi Muñoz-Marí +1
This paper presents a unified framework to tackle estimation problems in Digital Signal Processing (DSP) using Support Vector Machines (SVMs). The use of SVMs in estimation problem…