Lynne Billard

27 papers C 1Journal 20Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Faithful-Patchscopes: Understanding and Mitigating Model Bias in Hidden Representations Explanation of Large Language Models.
CoRR
Xilin Gong, Shu Yang, Zehua Cao, Lynne Billard, Di Wang
2024 J jnl
MLE for the parameters of bivariate interval-valued model.
Adv. Data Anal. Classif.
Seyed Yaser Samadi, Lynne Billard, Jiin-Huarng Guo, Wei Xu
2023 J jnl
Copulas and Histogram-Valued Data.
J. Comput. Graph. Stat.
Honghe Jin, Lynne Billard
2023 J jnl
Exploring Dynamic Structures in Matrix-Valued Time Series via Principal Component Analysis.
Axioms
Lynne Billard, Ahlame Douzal Chouakria, Seyed Yaser Samadi
2022 J jnl
Partition of Interval-Valued Observations Using Regression.
J. Classif.
Fei Liu, Lynne Billard
2021 J jnl
Analysis of dependent data aggregated into intervals.
J. Multivar. Anal.
Seyed Yaser Samadi, Lynne Billard
2019 J jnl
A study of divisive clustering with Hausdorff distances for interval data.
Pattern Recognit.
Yi Chen, Lynne Billard
2017 J jnl
Canonical correlation for principal components of time series.
Comput. Stat.
Seyed Yaser Samadi, Lynne Billard, Mohammad Reza Meshkani, Ahmad Khodadadi
2017 J jnl
Principal component analysis for histogram-valued data.
Adv. Data Anal. Classif.
Jennifer Le-Rademacher, Lynne Billard
2015 — conf
An Exploratory Analysis of Multiple Multivariate Time Series.
AALTD@PKDD/ECML
Lynne Billard, Ahlame Douzal Chouakria, Seyed Yaser Samadi
2015 — conf
Generalization Method when Manipulating Relational Databases.
Symbolic Data Analysis and Visualization
Véronique Cariou, Lynne Billard
2015 J jnl
Principal component analysis for compositional data vectors.
Comput. Stat.
Huiwen Wang, Liying Shangguan, Rong Guan, Lynne Billard
2013 J jnl
Principal component histograms from interval-valued observations.
Comput. Stat.
Jennifer Le-Rademacher, Lynne Billard
2012 J jnl
Copula analysis of mixture models.
Comput. Stat.
Mathieu Vrac, Lynne Billard, Edwin Diday, Alain Chédin
2012 J jnl
Dissimilarity measures and divisive clustering for symbolic multimodal-valued data.
Comput. Stat. Data Anal.
Jaejik Kim, Lynne Billard
2011 J jnl
A polythetic clustering process and cluster validity indexes for histogram-valued objects.
Comput. Stat. Data Anal.
Jaejik Kim, Lynne Billard
2011 J jnl
Brief overview of symbolic data and analytic issues.
Stat. Anal. Data Min.
Lynne Billard
2011 J jnl
In this issue.
Stat. Anal. Data Min.
Lynne Billard
2011 J jnl
Principal component analysis for interval-valued observations.
Stat. Anal. Data Min.
Ahlame Douzal Chouakria, Lynne Billard, Edwin Diday
2011 — conf
Symbolic Principal Components for Interval-Valued Data.
HDSDA
Lynne Billard, Jennifer Le-Rademacher
2008 J jnl
Some Analyses of Interval Data.
J. Comput. Inf. Technol.
Lynne Billard
2008 — conf
Some analyses of interval data.
ITI
Lynne Billard
2007 C conf
Modeling Spatial-Temporal Epidemics Using STBL Model.
ICMLA
Lynne Billard, Duck-Ki Kim, Chan-Hee Lee, Sung Duck Lee, Keon-Myung Lee, Sung-Soo Kim
2006 J jnl
Descriptive statistics for interval-valued observations in the presence of rules.
Comput. Stat.
Lynne Billard, Edwin Diday
2004 — conf
Régression linéaire symbolique avec variables taxonomiques.
EGC
Filipe Afonso, Lynne Billard, Edwin Diday
2001 J jnl
Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data, edited by H.-H. Bock and E. Diday.
J. Classif.
Lynne Billard
2000 — ch.
3 Modeling infectious diseases - AIDS.
Bioenvironmental and public health statistics
Lynne Billard