Daniel Peña - researchr alias

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Viewing Publication 1 - 19 from 19

2024

VerbaNexAI Lab at SemEval-2024 Task 1: A Multilayer Artificial Intelligence Model for Semantic Relationship DetectionAnderson Morillo, Daniel Peña, Juan Carlos Martínez Santos, Edwin Puertas. semeval 2024: 1344-1350 [doi]

2023

UTB-NLP at SemEval-2023 Task 3: Weirdness, Lexical Features for Detecting Categorical Framings, and Persuasion in Online NewsJuan Cuadrado, Elizabeth Martinez, Anderson Morillo, Daniel Peña, Kevin Sossa, Juan Carlos Martínez Santos, Edwin Puertas. semeval 2023: 1551-1557 [doi]

Automated Depression Detection in Text Data: Leveraging Lexical Features, Phonesthemes Embedding, and RoBERTa Transformer ModelElizabeth Martinez, Juan Cuadrado, Daniel Peña, Juan Carlos Martínez Santos, Edwin Puertas. sepln 2023: [doi]

2022

Wavelet estimation for factor models with time-varying loadingsDuván Humberto Cataño, C. Vladimir Rodríguez-Caballero, Daniel Peña, Chang Chiann. ijwmip, 20(1), 2022. [doi]

2019

Clustering time series by linear dependencyAndrés M. Alonso, Daniel Peña. sac, 29(4):655-676, 2019. [doi]

Empirical Dynamic Quantiles for Visualization of High-Dimensional Time SeriesDaniel Peña, Ruey S. Tsay, Ruben H. Zamar. technometrics, 61(4):429-444, 2019. [doi]

2012

Nearest-neighbors medians clusteringDaniel Peña, Júlia Viladomat, Ruben H. Zamar. sadm, 5(4):349-362, 2012. [doi]

2010

Eigenvectors of a kurtosis matrix as interesting directions to reveal cluster structureDaniel Peña, Francisco J. Prieto, Júlia Viladomat. ma, 101(9):1995-2007, 2010. [doi]

2009

Comparison of Times Series with Unequal Length in the Frequency DomainJorge Caiado, Nuno Crato, Daniel Peña. cssc, 38(3):527-540, 2009. [doi]

2007

Detecting defects with image dataMónica Benito, Daniel Peña. csda, 51(12):6395-6403, 2007. [doi]

2006

A periodogram-based metric for time series classificationJorge Caiado, Nuno Crato, Daniel Peña. csda, 50(10):2668-2684, 2006. [doi]

Bayesian curve estimation by model averagingDaniel Peña, Dolores Redondas. csda, 50(3):688-709, 2006. [doi]

2005

A fast approach for dimensionality reduction with image dataMónica Benito, Daniel Peña. PR, 38(12):2400-2408, 2005. [doi]

A Bayesian Approach for Predicting With Polynomial Regression of Unknown DegreeIrwin Guttman, Daniel Peña, Dolores Redondas. technometrics, 47(1):23-33, 2005. [doi]

A New Statistic for Influence in Linear RegressionDaniel Peña. technometrics, 47(1):1-12, 2005. [doi]

2004

Dimensionality Reduction with Image DataMónica Benito, Daniel Peña. ideal 2004: 326-332 [doi]

2002

Missing Values Resampling for Time SeriesAndrés M. Alonso, Daniel Peña, Juan Romo. compstat 2002: 461-466 [doi]

2001

Automatic Generation of Digital Filters by NN Based Learning: An Application on Paper Pulp InspectionPascual Campoy-Cervera, David F. Muñoz-García, Daniel Peña, José A. Calderón-Martínez. iwann 2001: 235-245 [doi]

Multivariate Outlier Detection and Robust Covariance Matrix EstimationDaniel Peña, Francisco J. Prieto. technometrics, 43(3):286-310, 2001. [doi]

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