Daniel Peña

24 papers C 1Journal 18Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dimension reduction for outlier detection in high-dimensional data.
J. Multivar. Anal.
Santiago Ortiz, Henry Laniado, Daniel Peña, Francisco J. Prieto
2024 — conf
VerbaNexAI Lab at SemEval-2024 Task 1: A Multilayer Artificial Intelligence Model for Semantic Relationship Detection.
SemEval@NAACL
Anderson Morillo, Daniel Peña, Juan Carlos Martínez Santos, Edwin Puertas
2023 — conf
Automated Depression Detection in Text Data: Leveraging Lexical Features, Phonesthemes Embedding, and RoBERTa Transformer Model.
IberLEF@SEPLN
Elizabeth Martinez, Juan Cuadrado, Daniel Peña, Juan Carlos Martínez Santos, Edwin Puertas
2023 — conf
UTB-NLP at SemEval-2023 Task 3: Weirdness, Lexical Features for Detecting Categorical Framings, and Persuasion in Online News.
SemEval@ACL
Juan Cuadrado, Elizabeth Martinez, Anderson Morillo, Daniel Peña, Kevin Sossa, Juan Carlos Martínez Santos, Edwin Puertas
2022 J jnl
Wavelet estimation for factor models with time-varying loadings.
Int. J. Wavelets Multiresolution Inf. Process.
Duván Humberto Cataño, C. Vladimir Rodríguez-Caballero, Daniel Peña, Chang Chiann
2019 J jnl
Clustering time series by linear dependency.
Stat. Comput.
Andrés M. Alonso, Daniel Peña
2019 J jnl
Empirical Dynamic Quantiles for Visualization of High-Dimensional Time Series.
Technometrics
Daniel Peña, Ruey S. Tsay, Ruben H. Zamar
2019 J jnl
Understanding complex predictive models with Ghost Variables.
CoRR
Pedro Delicado, Daniel Peña
2017 J jnl
Distance weighted discrimination of face images for gender classification.
CoRR
Mónica Benito, Eduardo García-Portugués, J. S. Marron, Daniel Peña
2017 J jnl
Fast and robust estimators of variance components in the nested error model.
Stat. Comput.
Betsabé Pérez, Isabel Molina, Anita Thieler, Roland Fried, Daniel Peña
2012 J jnl
Nearest-neighbors medians clustering.
Stat. Anal. Data Min.
Daniel Peña, Júlia Viladomat, Ruben H. Zamar
2010 J jnl
Eigenvectors of a kurtosis matrix as interesting directions to reveal cluster structure.
J. Multivar. Anal.
Daniel Peña, Francisco J. Prieto, Júlia Viladomat
2009 J jnl
Comparison of Times Series with Unequal Length in the Frequency Domain.
Commun. Stat. Simul. Comput.
Jorge Caiado, Nuno Crato, Daniel Peña
2007 J jnl
Detecting defects with image data.
Comput. Stat. Data Anal.
Mónica Benito, Daniel Peña
2006 J jnl
A periodogram-based metric for time series classification.
Comput. Stat. Data Anal.
Jorge Caiado, Nuno Crato, Daniel Peña
2006 J jnl
Bayesian curve estimation by model averaging.
Comput. Stat. Data Anal.
Daniel Peña, Dolores Redondas
2005 J jnl
A Bayesian Approach for Predicting With Polynomial Regression of Unknown Degree.
Technometrics
Irwin Guttman, Daniel Peña, Dolores Redondas
2005 J jnl
A New Statistic for Influence in Linear Regression.
Technometrics
Daniel Peña
2005 J jnl
A fast approach for dimensionality reduction with image data.
Pattern Recognit.
Mónica Benito, Daniel Peña
2005 J jnl
InsPulp-I(c) : An on-line visual inspection system for the pulp industry.
Comput. Ind.
Pascual Campoy Cervera, Javier Canaval-Cervera, Daniel Peña
2004 C conf
Dimensionality Reduction with Image Data.
IDEAL
Mónica Benito, Daniel Peña
2002 — conf
Missing Values Resampling for Time Series.
COMPSTAT
Andrés M. Alonso, Daniel Peña, Juan Romo
2001 — conf
Automatic Generation of Digital Filters by NN Based Learning: An Application on Paper Pulp Inspection.
IWANN (2)
Pascual Campoy Cervera, David F. Muñoz-García, Daniel Peña, José A. Calderón-Martínez
2001 J jnl
Multivariate Outlier Detection and Robust Covariance Matrix Estimation.
Technometrics
Daniel Peña, Francisco J. Prieto