Choosing k for two-class nearest neighbour classifiers with unbalanced classes. - David J. Hand; Veronica Vinciotti (Pattern Recognit. Lett., 2003)

Consensus Clustering and Functional Interpretation of Gene Expression Data. - Paul Kellam; Stephen Swift; Allan Tucker; Veronica Vinciotti; Nigel J. Martin 001; Christine A. Orengo; Xiaohui Liu 001 (Spanish Bioinformatics Conference, 2004)

Bayesian Network Classifiers for Time-Series Microarray Data. - Allan Tucker; Veronica Vinciotti; Peter A. C. 't Hoen; Xiaohui Liu 001 (IDA, 2005)

A spatio-temporal Bayesian network classifier for understanding visual field deterioration. - Allan Tucker; Veronica Vinciotti; Xiaohui Liu 001; David Garway-Heath (Artif. Intell. Medicine, 2005)

An experimental evaluation of a loop versus a reference design for two-channel microarrays. - Veronica Vinciotti; Raya Khanin; Davide D'Alimonte; Xiaohui Liu 001; N. Cattini; G. Hotchkiss; Giselda Bucca; O. de Jesus; J. Rasaiyaah; Colin P. Smith; Paul Kellam; Ernst Wit (Bioinform., 2005)

Computational inference of regulator activity in a single input motif from gene expression data. - Raya Khanin; Veronica Vinciotti; Vassilis Mersinias; Colin P. Smith; Ernst Wit (BMC Bioinform., 2005)

Exploiting the full power of temporal gene expression profiling through a new statistical test: Application to the analysis of muscular dystrophy data. - Veronica Vinciotti; Xiaohui Liu 001; Rolf Turk; Emile J. de Meijer; Peter A. C. 't Hoen (BMC Bioinform., 2006)

Temporal Bayesian classifiers for modelling muscular dystrophy expression data. - Allan Tucker; Peter A. C. 't Hoen; Veronica Vinciotti; Xiaohui Liu 001 (Intell. Data Anal., 2006)

Computational Modeling of Post-Transcriptional Gene Regulation by MicroRNAs. - Raya Khanin; Veronica Vinciotti (J. Comput. Biol., 2008)

An Extended Kalman Filtering Approach to Modeling Nonlinear Dynamic Gene Regulatory Networks via Short Gene Expression Time Series. - Zidong Wang 001; Xiaohui Liu 001; Yurong Liu; Jinling Liang; Veronica Vinciotti (IEEE ACM Trans. Comput. Biol. Bioinform., 2009)

Interspecies Translation of Disease Networks Increases Robustness and Predictive Accuracy. - Seyed Yahya Anvar; Allan Tucker; Veronica Vinciotti; Andrea Venema; Gert-Jan B. van Ommen; Silvere M. van der Maarel; Vered Raz; Peter A. C. 't Hoen (PLoS Comput. Biol., 2011)

Accounting for immunoprecipitation efficiencies in the statistical analysis of ChIP-seq data. - Yanchun Bao; Veronica Vinciotti; Ernst Wit; Peter A. C. 't Hoen (BMC Bioinform., 2013)

Robust methods for inferring sparse network structures. - Veronica Vinciotti; Hussein Hashem (Comput. Stat. Data Anal., 2013)

Analysis of ChIP-seq Data Via Bayesian Finite Mixture Models with a Non-parametric Component. - Baba B. Alhaji; Hongsheng Dai; Yoshiko Hayashi; Veronica Vinciotti; Andrew Harrison; Berthold Lausen (ECDA, 2014)

Exploring the Link Between Gene Expression and Protein Binding by Integrating mRNA Microarray and ChIP-Seq Data. - Mohsina Mahmuda Ferdous; Veronica Vinciotti; Xiaohui Liu 001; Paul Wilson (SLDS, 2015)

Quantile regression with group lasso for classification. - Hussein Hashem; Veronica Vinciotti; Rahim Alhamzawi; Keming Yu (Adv. Data Anal. Classif., 2016)

NEAT: an efficient network enrichment analysis test. - Mirko Signorelli; Veronica Vinciotti; Ernst C. Wit (BMC Bioinform., 2016)

Consistency of biological networks inferred from microarray and sequencing data. - Veronica Vinciotti; Ernst C. Wit; Rick Jansen; Eco J. C. de Geus; Brenda W. J. H. Penninx; Dorret I. Boomsma; Peter A. C. 't Hoen (BMC Bioinform., 2016)

Multi-objective optimisation for regression testing. - Wei Zheng 006; Robert M. Hierons; Miqing Li; Xiaohui Liu 001; Veronica Vinciotti (Inf. Sci., 2016)

A Simple and Adaptive Dispersion Regression Model for Count Data. - Hadeel S. Klakattawi; Veronica Vinciotti; Keming Yu (Entropy, 2018)

Predicting gene expression from genome wide protein binding profiles. - Mohsina Mahmuda Ferdous; Yanchun Bao; Veronica Vinciotti; Xiaohui Liu 001; Paul Wilson (Neurocomputing, 2018)

Multilevel logistic cluster-weighted model for outcome evaluation in health care. - Paolo Berta; Veronica Vinciotti (Stat. Anal. Data Min., 2019)

The conditional censored graphical lasso estimator. - Luigi Augugliaro; Gianluca Sottile; Veronica Vinciotti (Stat. Comput., 2020)

cglasso: An R Package for Conditional Graphical Lasso Inference with Censored and Missing Values. - Luigi Augugliaro; Gianluca Sottile; Ernst C. Wit; Veronica Vinciotti (J. Stat. Softw., 2023)

Latent event history models for quasi-reaction systems. - Matteo Framba; Veronica Vinciotti; Ernst C. Wit (Comput. Stat. Data Anal., 2024)

Causal drivers of dynamic networks. - Melania Lembo; Ester Riccardi; Veronica Vinciotti; Ernst C. Wit (CLeaR, 2025)

Inferring the dynamics of quasi-reaction systems via nonlinear local mean-field approximations. - Matteo Framba; Veronica Vinciotti; Ernst C. Wit (Comput. Stat. Data Anal., 2026)