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2020 – today
- 2024
[c6]Anderson Morillo, Daniel Peña, Juan Carlos Martínez Santos, Edwin Puertas:
VerbaNexAI Lab at SemEval-2024 Task 1: A Multilayer Artificial Intelligence Model for Semantic Relationship Detection. SemEval@NAACL 2024: 1344-1350- 2023
- [c5]Juan Cuadrado, Elizabeth Martinez, Anderson Morillo
, Daniel Peña, Kevin Sossa, Juan Carlos Martínez Santos, Edwin Puertas:
UTB-NLP at SemEval-2023 Task 3: Weirdness, Lexical Features for Detecting Categorical Framings, and Persuasion in Online News. SemEval@ACL 2023: 1551-1557 - [c4]Elizabeth Martinez, Juan Cuadrado, Daniel Peña, Juan Carlos Martínez Santos, Edwin Puertas:
Automated Depression Detection in Text Data: Leveraging Lexical Features, Phonesthemes Embedding, and RoBERTa Transformer Model. IberLEF@SEPLN 2023 - 2022
- [j15]Duván Humberto Cataño, C. Vladimir Rodríguez-Caballero, Daniel Peña, Chang Chiann:
Wavelet estimation for factor models with time-varying loadings. Int. J. Wavelets Multiresolution Inf. Process. 20(1): 2150033:1-2150033:27 (2022)
2010 – 2019
- 2019
- [j14]Andrés M. Alonso, Daniel Peña:
Clustering time series by linear dependency. Stat. Comput. 29(4): 655-676 (2019) - [j13]Daniel Peña, Ruey S. Tsay, Ruben H. Zamar:
Empirical Dynamic Quantiles for Visualization of High-Dimensional Time Series. Technometrics 61(4): 429-444 (2019) - [i2]Pedro Delicado, Daniel Peña:
Understanding complex predictive models with Ghost Variables. CoRR abs/1912.06407 (2019) - 2017
- [j12]Betsabé Pérez, Isabel Molina, Anita Thieler, Roland Fried, Daniel Peña:
Fast and robust estimators of variance components in the nested error model. Stat. Comput. 27(6): 1655-1675 (2017) - [i1]Mónica Benito, Eduardo García-Portugués, J. S. Marron, Daniel Peña:
Distance weighted discrimination of face images for gender classification. CoRR abs/1706.05029 (2017) - 2012
- [j11]Daniel Peña, Júlia Viladomat, Ruben H. Zamar:
Nearest-neighbors medians clustering. Stat. Anal. Data Min. 5(4): 349-362 (2012) - 2010
- [j10]Daniel Peña, Francisco J. Prieto, Júlia Viladomat:
Eigenvectors of a kurtosis matrix as interesting directions to reveal cluster structure. J. Multivar. Anal. 101(9): 1995-2007 (2010)
2000 – 2009
- 2009
- [j9]Jorge Caiado, Nuno Crato, Daniel Peña:
Comparison of Times Series with Unequal Length in the Frequency Domain. Commun. Stat. Simul. Comput. 38(3): 527-540 (2009) - 2007
- [j8]Mónica Benito, Daniel Peña:
Detecting defects with image data. Comput. Stat. Data Anal. 51(12): 6395-6403 (2007) - 2006
- [j7]Daniel Peña, Dolores Redondas:
Bayesian curve estimation by model averaging. Comput. Stat. Data Anal. 50(3): 688-709 (2006) - [j6]Jorge Caiado, Nuno Crato, Daniel Peña:
A periodogram-based metric for time series classification. Comput. Stat. Data Anal. 50(10): 2668-2684 (2006) - 2005
- [j5]Pascual Campoy Cervera, Javier Canaval-Cervera, Daniel Peña:
InsPulp-I(c) : An on-line visual inspection system for the pulp industry. Comput. Ind. 56(8-9): 935-942 (2005) - [j4]Mónica Benito, Daniel Peña:
A fast approach for dimensionality reduction with image data. Pattern Recognit. 38(12): 2400-2408 (2005) - [j3]Daniel Peña:
A New Statistic for Influence in Linear Regression. Technometrics 47(1): 1-12 (2005) - [j2]Irwin Guttman, Daniel Peña, Dolores Redondas:
A Bayesian Approach for Predicting With Polynomial Regression of Unknown Degree. Technometrics 47(1): 23-33 (2005) - 2004
- [c3]Mónica Benito, Daniel Peña:
Dimensionality Reduction with Image Data. IDEAL 2004: 326-332 - 2002
- [c2]Andrés M. Alonso, Daniel Peña, Juan Romo:
Missing Values Resampling for Time Series. COMPSTAT 2002: 461-466 - 2001
- [j1]Daniel Peña, Francisco J. Prieto:
Multivariate Outlier Detection and Robust Covariance Matrix Estimation. Technometrics 43(3): 286-310 (2001) - [c1]Pascual Campoy Cervera, David F. Muñoz-García, Daniel Peña, José A. Calderón-Martínez:
Automatic Generation of Digital Filters by NN Based Learning: An Application on Paper Pulp Inspection. IWANN (2) 2001: 235-245
Coauthor Index
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