Daniel Peña

Orcid: 0000-0002-9137-1557

According to our database1, Daniel Peña authored at least 22 papers between 2001 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2023
Automated Depression Detection in Text Data: Leveraging Lexical Features, Phonesthemes Embedding, and RoBERTa Transformer Model.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

UTB-NLP at SemEval-2023 Task 3: Weirdness, Lexical Features for Detecting Categorical Framings, and Persuasion in Online News.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

2022
Wavelet estimation for factor models with time-varying loadings.
Int. J. Wavelets Multiresolution Inf. Process., 2022

2019
Empirical Dynamic Quantiles for Visualization of High-Dimensional Time Series.
Technometrics, 2019

Clustering time series by linear dependency.
Stat. Comput., 2019

Understanding complex predictive models with Ghost Variables.
CoRR, 2019

2017
Fast and robust estimators of variance components in the nested error model.
Stat. Comput., 2017

Distance weighted discrimination of face images for gender classification.
CoRR, 2017

2012
Nearest-neighbors medians clustering.
Stat. Anal. Data Min., 2012

2010
Eigenvectors of a kurtosis matrix as interesting directions to reveal cluster structure.
J. Multivar. Anal., 2010

2009
Comparison of Times Series with Unequal Length in the Frequency Domain.
Commun. Stat. Simul. Comput., 2009

2007
Detecting defects with image data.
Comput. Stat. Data Anal., 2007

2006
Bayesian curve estimation by model averaging.
Comput. Stat. Data Anal., 2006

A periodogram-based metric for time series classification.
Comput. Stat. Data Anal., 2006

2005
A New Statistic for Influence in Linear Regression.
Technometrics, 2005

A Bayesian Approach for Predicting With Polynomial Regression of Unknown Degree.
Technometrics, 2005

A fast approach for dimensionality reduction with image data.
Pattern Recognit., 2005

InsPulp-I(c) : An on-line visual inspection system for the pulp industry.
Comput. Ind., 2005

2004
Dimensionality Reduction with Image Data.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

2002
Missing Values Resampling for Time Series.
Proceedings of the COMPSTAT 2002, 2002

2001
Multivariate Outlier Detection and Robust Covariance Matrix Estimation.
Technometrics, 2001

Automatic Generation of Digital Filters by NN Based Learning: An Application on Paper Pulp Inspection.
Proceedings of the Bio-inspired Applications of Connectionism, 2001


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