Rosa E. Lillo

Orcid: 0000-0003-0802-4691

According to our database1, Rosa E. Lillo authored at least 36 papers between 2000 and 2024.

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Bibliography

2024
Error Bounds for the Network Scale-Up Method.
CoRR, 2024

nn2poly: An R Package for Converting Neural Networks into Interpretable Polynomials.
CoRR, 2024

Nowcasting Temporal Trends Using Indirect Surveys.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Consistent comparison of symptom-based methods for COVID-19 infection detection.
Int. J. Medical Informatics, September, 2023

A fast epigraph and hypograph-based approach for clustering functional data.
Stat. Comput., April, 2023

2022
Detecting and classifying outliers in big functional data.
Adv. Data Anal. Classif., 2022

2021
A bivariate two-state Markov modulated Poisson process for failure modeling.
Reliab. Eng. Syst. Saf., 2021

Towards a mathematical framework to inform neural network modelling via polynomial regression.
Neural Networks, 2021

A twist in Intimate Partner Violence Risk Assessment Tools: Gauging the contribution of exogenous and historical variables.
Knowl. Based Syst., 2021

Accurate Prediction of Children's ADHD Severity Using Family Burden Information: A Neural Lasso Approach.
Frontiers Comput. Neurosci., 2021

NN2Poly: A polynomial representation for deep feed-forward artificial neural networks.
CoRR, 2021

Estimating Active Cases of COVID-19.
CoRR, 2021

Analysis of an aggregate loss model in a Markov renewal regime.
Appl. Math. Comput., 2021

Adaptive sparse group LASSO in quantile regression.
Adv. Data Anal. Classif., 2021

2020
Automatic elimination of the pectoral muscle in mammograms based on anatomical features.
CoRR, 2020

CoronaSurveys: Using Surveys with Indirect Reporting to Estimate the Incidence and Evolution of Epidemics.
CoRR, 2020

Rank tests for functional data based on the epigraph, the hypograph and associated graphical representations.
Adv. Data Anal. Classif., 2020

2019
Fitting procedure for the two-state Batch Markov modulated Poisson process.
Eur. J. Oper. Res., 2019

A Kendall correlation coefficient between functional data.
Adv. Data Anal. Classif., 2019

2016
Dependence patterns for modeling simultaneous events.
Reliab. Eng. Syst. Saf., 2016

Analytical issues regarding the lack of identifiability of the non-stationary MAP<sub>2</sub>.
Perform. Evaluation, 2016

2015
The Mahalanobis Distance for Functional Data With Applications to Classification.
Technometrics, 2015

Failure modeling of an electrical N-component framework by the non-stationary Markovian arrival process.
Reliab. Eng. Syst. Saf., 2015

2014
Allocation Policies of Redundancies in Two-Parallel-Series and Two-Series-Parallel Systems.
IEEE Trans. Reliab., 2014

Interpretable support vector machines for functional data.
Eur. J. Oper. Res., 2014

2013
Software Reliability Modeling with Software Metrics Data via Gaussian Processes.
IEEE Trans. Software Eng., 2013

Likelihood ratio order of spacings from two heterogeneous samples.
J. Multivar. Anal., 2013

2010
On the conjecture of Kochar and Korwar.
J. Multivar. Anal., 2010

2008
Bayesian Analysis of a Queueing System with a Long-Tailed Arrival Process.
Commun. Stat. Simul. Comput., 2008

Bayesian prediction of the transient behaviour and busy period in short- and long-tailed GI/G/1 queueing systems.
Comput. Stat. Data Anal., 2008

2005
Ergodicity and analysis of the process describing the system state in polling systems with two queues.
Eur. J. Oper. Res., 2005

2002
Preservation of association in multivariate shock and claim models.
Oper. Res. Lett., 2002

2001
Characterization Results Based On A Functional Derivative Approach.
Comb. Probab. Comput., 2001

2000
Note on relations between criteria for ageing.
Reliab. Eng. Syst. Saf., 2000

Stability and irreducibility of queueing systems with finite capacity.
Queueing Syst. Theory Appl., 2000

On optimal exhaustive policies for the M/G/1-queue.
Oper. Res. Lett., 2000


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