Publications: DR Nicolas Hernandez
Hernandez N, Choi Y, Fearn T
(
2025
)
.
Bayesian optimisation for interval selection in PLS models
.
Chemometrics and Intelligent Laboratory Systems
Hernández N, Nagy S
(
2025
)
.
The Common Support Function with Applications
.
New Trends in Functional Statistics and Related Fields
,
Springer Nature
Hernández N, Martos G
(
2024
)
.
Domain Selection for Gaussian Process Data: An Application to Electrocardiogram Signals
.
Biometrical Journal
vol.
66
,
(
8
)
Hernández N, Cugliari J, Jacques J
(
2024
)
.
Simultaneous predictive bands for functional time series using minimum entropy sets
.
Communications in Statistics - Simulation and Computation
vol.
55
,
(
1
)
103
-
127
.
Hernández N, Muñoz A, Martos G
(
2023
)
.
Density kernel depth for outlier detection in functional data
.
International Journal of Data Science and Analytics
vol.
16
,
(
4
)
481
-
488
.
Hernández N, Soenksen J, Newcombe P, Sandhu M, Barroso I, Wallace C, Asimit JL
(
2021
)
.
The flashfm approach for fine-mapping multiple quantitative traits
.
Nature Communications
vol.
12
,
(
1
)
Muñoz A, Hernández N, Moguerza JM, Martos G
(
2018
)
.
Combining Entropy Measures for Anomaly Detection
.
Entropy
vol.
20
,
(
9
)
Martos G, Hernández N, Muñoz A, Moguerza JM
(
2018
)
.
Entropy Measures for Stochastic Processes with Applications in Functional Anomaly Detection
.
Entropy
vol.
20
,
(
1
)
Hernandez N, Muñoz A
(
2016
)
.
Kernel Depth Measures for Functional Data with Application to Outlier Detection
.
Artificial Neural Networks and Machine Learning – ICANN 2016 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II
,
Springer