Decision Support and Image & Signal Analysis in Heart Failure - A Comprehensive Use Case. - Sara Colantonio; Massimo Martinelli; Davide Moroni; Ovidio Salvetti; Francesco Perticone; Angela Sciacqua; Franco Chiarugi; Domenico Conforti; Antonio Gualtieri; Vincenzo Lagani (HEALTHINF (1), 2008)

A novel similarity-measure for the analysis of genetic data in complex phenotypes. - Vincenzo Lagani; Alberto Montesanto; Fausta Di Cianni; Víctor Moreno; Stefano Landi; Domenico Conforti; Giuseppina Rose; Giuseppe Passarino (BMC Bioinform., 2009)

Structure-based variable selection for survival data. - Vincenzo Lagani; Ioannis Tsamardinos (Bioinform., 2010)

Use of SMS for Tsunami Early Warnings at a Table Top Exercise. - Vincenzo Lagani; Vasilis Kontogiannis; Panayiotis Argyropaidas; Catherine E. Chronaki (eHealth, 2011)

A constraint-based approach to incorporate prior knowledge in causal models. - Giorgos Borboudakis; Sofia Triantafilou; Vincenzo Lagani; Ioannis Tsamardinos (ESANN, 2011)

Risk Assessment Models for Diabetes Complications: A Survey of Available Online Tools. - Lefteris Koumakis; Franco Chiarugi; Vincenzo Lagani; Angelina Kouroubali; Ioannis Tsamardinos (MobiHealth, 2011)

Prediction of Outcome in the Vegetative State by Machine Learning Algorithms: A Model for Clinicians? - Loris Pignolo; Vincenzo Lagani (J. Softw. Eng. Appl., 2011)

Learning from Mixture of Experimental Data: A Constraint-Based Approach. - Vincenzo Lagani; Ioannis Tsamardinos; Sofia Triantafilou (SETN, 2012)

Towards Integrative Causal Analysis of Heterogeneous Data Sets and Studies. - Ioannis Tsamardinos; Sofia Triantafilou; Vincenzo Lagani (J. Mach. Learn. Res., 2012)

A Coding Support System for the ICD-9-CM Standard. - Maria Teresa Chiaravalloti; Roberto Guarasci; Vincenzo Lagani; Erika Pasceri; Roberto Trunfio (ICHI, 2014)

Performance-Estimation Properties of Cross-Validation-Based Protocols with Simultaneous Hyper-Parameter Optimization. - Ioannis Tsamardinos; Amin Rakhshani; Vincenzo Lagani (Int. J. Artif. Intell. Tools, 2015)

SCENERY: A Web-Based Application for Network Reconstruction and Visualization of Cytometry Data. - Giorgos Athineou; Giorgos Papoutsoglou; Sofia Triantafillou; Ioannis Basdekis; Vincenzo Lagani; Ioannis Tsamardinos (PACBB, 2016)

Erratum to: A comparative evaluation of data-merging and meta-analysis methods for reconstructing gene-gene interactions. - Vincenzo Lagani; Argyro D. Karozou; David Gomez-Cabrero; Gilad Silberberg; Ioannis Tsamardinos (BMC Bioinform., 2016)

A comparative evaluation of data-merging and meta-analysis methods for reconstructing gene-gene interactions. - Vincenzo Lagani; Argyro D. Karozou; David Gomez-Cabrero; Gilad Silberberg; Ioannis Tsamardinos (BMC Bioinform., 2016)

SCENERY: a web application for (causal) network reconstruction from cytometry data. - Giorgos Papoutsoglou; Giorgos Athineou; Vincenzo Lagani; Iordanis Xanthopoulos; Angelika Schmidt; Szabolcs Elias; Jesper Tegnér; Ioannis Tsamardinos (Nucleic Acids Res., 2017)

Mining Free-Text Medical Notes for Suicide Risk Assessment. - Marios Adamou; Grigoris Antoniou; Elissavet Greasidou; Vincenzo Lagani; Paulos Charonyktakis; Ioannis Tsamardinos (SETN, 2018)

Feature selection for high-dimensional temporal data. - Michail Tsagris; Vincenzo Lagani; Ioannis Tsamardinos (BMC Bioinform., 2018)

On scoring Maximal Ancestral Graphs with the Max-Min Hill Climbing algorithm. - Konstantinos Tsirlis; Vincenzo Lagani; Sofia Triantafillou; Ioannis Tsamardinos (Int. J. Approx. Reason., 2018)

Constraint-based causal discovery with mixed data. - Michail Tsagris; Giorgos Borboudakis; Vincenzo Lagani; Ioannis Tsamardinos (Int. J. Data Sci. Anal., 2018)

Correction to: Constraint-based causal discovery with mixed data. - Michail Tsagris; Giorgos Borboudakis; Vincenzo Lagani; Ioannis Tsamardinos (Int. J. Data Sci. Anal., 2018)

Latent Feature Representations for Human Gene Expression Data Improve Phenotypic Predictions. - Yannis Pantazis; Christos Tselas; Kleanthi Lakiotaki; Vincenzo Lagani; Ioannis Tsamardinos (BIBM, 2020)

Automated machine learning for genome wide association studies. - Kleanthi Lakiotaki; Zacharias Papadovasilakis; Vincenzo Lagani; Stefanos Fafalios; Paulos Charonyktakis; Michail Tsagris; Ioannis Tsamardinos (Bioinform., 2023)

Learning biologically-interpretable latent representations for gene expression data. - Ioulia Karagiannaki; Krystallia Gourlia; Vincenzo Lagani; Yannis Pantazis; Ioannis Tsamardinos (Mach. Learn., 2023)

Reusability report: Learning the transcriptional grammar in single-cell RNA-sequencing data using transformers. - Sumeer Ahmad Khan; Alberto Maillo; Vincenzo Lagani; Robert Lehmann 002; Narsis A. Kiani; David Gomez-Cabrero; Jesper Tegnér (Nat. Mac. Intell., 2023)

ClustAll: An R package for patient stratification in complex diseases. - Asier Ortega-Legarreta; Sara Palomino-Echeverria; Estefania Huergo; Vincenzo Lagani; Narsis A. Kiani; Pierre-Emmanuel Rautou; Nuria Planell-Picola; Jesper Tegnér; David Gomez-Cabrero (PLoS Comput. Biol., 2024)

Interpretable Causal Representation Learning for Biological Data in the Pathway Space. - Jesus de la Fuente Cedeño; Robert Lehmann 002; Carlos Ruiz-Arenas; Jan Voges; Irene Marín-Goñi; Xabier Martinez de Morentin; David Gomez-Cabrero; Idoia Ochoa; Jesper Tegnér; Vincenzo Lagani; Mikel Hernaez (ICLR, 2025)