Barbara Di Camillo

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 52

Top Topics

Disease Progression

Top Venues

CLEF (Working Notes)

J. Biomed. Informatics

Publications

Giovanni Birolo, Pietro Bosoni, Guglielmo Faggioli, Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Alessandro Guazzo, Enrico Longato, Sara C. Madeira, Umberto Manera, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) (2024)
Elena Marinello, Alessandro Guazzo, Enrico Longato, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo
Using Wearable and Environmental Data to Improve the Prediction of Amyotrophic Lateral Sclerosis and Multiple Sclerosis Progression: an Explorative Study. CLEF (Working Notes) (2024)
Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Barbara Di Camillo, Mamede de Carvalho, Nicola Ferro, Piero Fariselli, Jose Manuel García Dominguez, Sara C. Madeira, Eleonora Tavazzi
iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. ECIR (6) (2024)
Barbara Di Camillo, Rosalba Giugno
From translational bioinformatics computational methodologies to personalized medicine. J. Biomed. Informatics 151 (2024)
Alessandro Guazzo, Isotta Trescato, Enrico Longato, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo
Baseline Machine Learning Approaches To Predict Multiple Sclerosis Disease Progression. CLEF (Working Notes) (2023)
Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Barbara Di Camillo, Mamede de Carvalho, Nicola Ferro, Piero Fariselli, Jose Manuel García Dominguez, Sara C. Madeira, Eleonora Tavazzi
iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. ECIR (3) (2023)
Erica Tavazzi, Enrico Longato, Martina Vettoretti, Helena Aidos, Isotta Trescato, Chiara Roversi, Andreia S. Martins, Eduardo N. Castanho, Ruben Branco, Diogo F. Soares, Alessandro Guazzo, Giovanni Birolo, Daniele Pala, Pietro Bosoni, Adriano Chiò, Umberto Manera, Mamede de Carvalho, Bruno Miranda, Marta Gromicho, Inês Alves, Riccardo Bellazzi, Arianna Dagliati, Piero Fariselli, Sara C. Madeira, Barbara Di Camillo
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review. Artif. Intell. Medicine 142 (2023)
Enrico Longato, Erica Tavazzi, Adriano Chiò, Gabriele Mora, Giovanni Sparacino, Barbara Di Camillo
Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis. AIME (2023)
Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) (2023)
Francesca Longhin, Alessandro Guazzo, Enrico Longato, Nicola Ferro, Barbara Di Camillo
DAVI: A Dataset for Automatic Variant Interpretation. CLEF (2023)
Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023. CLEF (2023)
Isotta Trescato, Chiara Roversi, Martina Vettoretti, Barbara Di Camillo, Andrea Facchinetti
A model to forecast the two-year variation of subjective wellbeing in the elderly population. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
Alessandro Guazzo, Enrico Longato, Gian Paolo Fadini, Mario Luca Morieri, Giovanni Sparacino, Barbara Di Camillo
Explainable Deep-Learning Model Reveals Past Cardiovascular Disease in Patients with Diabetes Using Free-Form Visit Reports. LOD (1) (2022)
Barbara Di Camillo, Rosalba Giugno
From translational bioinformatics computational methodologies to personalized medicine. J. Biomed. Informatics 133 (2022)
Enrico Longato, Mario Luca Morieri, Giovanni Sparacino, Barbara Di Camillo, Annamaria Cattelan, Sara Lo Menzo, Marco Trevenzoli, Andrea Vianello, Gabriella Guarnieri, Federico Lionello, Angelo Avogaro, Paola Fioretto, Roberto Vettor, Gian Paolo Fadini
Time-series analysis of multidimensional clinical-laboratory data by dynamic Bayesian networks reveals trajectories of COVID-19 outcomes. Comput. Methods Programs Biomed. 221 (2022)
Giacomo Baruzzo, Giulia Cesaro, Barbara Di Camillo
. Bioinform. 38 (7) (2022)
Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Piero Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022. CLEF (2022)
Erica Tavazzi, Roberto Gatta, Mauro Vallati, Stefano Cotti Piccinelli, Massimiliano Filosto, Alessandro Padovani, Maurizio Castellano, Barbara Di Camillo
Leveraging process mining for modeling progression trajectories in amyotrophic lateral sclerosis. BMC Medical Informatics Decis. Mak. (6) (2022)
Isotta Trescato, Alessandro Guazzo, Enrico Longato, Enidia Hazizaj, Chiara Roversi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo
Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression. CLEF (Working Notes) (2022)
Barbara Di Camillo, Giuseppe Nicosia
Guest Editorial: Deep Learning For Genomics. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (1) (2022)
Marco Cappellato, Giacomo Baruzzo, Barbara Di Camillo
Investigating differential abundance methods in microbiome data: A benchmark study. PLoS Comput. Biol. 18 (9) (2022)
Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Piero Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) (2022)
Giacomo Baruzzo, Ilaria Patuzzi, Barbara Di Camillo
Beware to ignore the rare: how imputing zero-values can improve the quality of 16S rRNA gene studies results. BMC Bioinform. (15) (2021)
Chiara Roversi, Martina Vettoretti, Barbara Di Camillo, Andrea Facchinetti
Predicting hypertension onset using logistic regression models with labs and/or easily accessible variables: the role of blood pressure measurements. BHI (2021)
Enrico Longato, Gian Paolo Fadini, Giovanni Sparacino, Angelo Avogaro, Barbara Di Camillo
Recurrent Neural Network to Predict Renal Function Impairment in Diabetic Patients via Longitudinal Routine Check-up Data. AIME (2021)
Enrico Longato, Gian Paolo Fadini, Giovanni Sparacino, Angelo Avogaro, Lara Tramontan, Barbara Di Camillo
A Deep Learning Approach to Predict Diabetes' Cardiovascular Complications From Administrative Claims. IEEE J. Biomed. Health Informatics 25 (9) (2021)
Irene Zorzan, Simone Del Favero, Alberto Giaretta, Riccardo Manganelli, Barbara Di Camillo, Luca Schenato
Mathematical modelling of SigE regulatory network reveals new insights into bistability of mycobacterial stress response. BMC Bioinform. 22 (1) (2021)
Alessandro Guazzo, Alessandro Battaggia, Enrico Longato, Bruno Franco-Novelletto, Angelo Avogaro, Gian Paolo Fadini, Maurizio Cancian, Barbara Di Camillo, Giovanni Sparacino, Massimo Fusello
Comparing the Predictive Power of Heart Failure Hospitalisation Risk Scores in the Diabetic Outpatient Clinic and Primary Care Settings. BIBM (2021)
Matteo Comin, Barbara Di Camillo, Cinzia Pizzi, Fabio Vandin
Comparison of microbiome samples: methods and computational challenges. Briefings Bioinform. 22 (1) (2021)
Chiara Roversi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo
A Dynamic Bayesian Network model for simulating the progression to diabetes onset in the ageing population. BHI (2021)
Barbara Di Camillo, Giuseppe Nicosia, Francesca Buffa, Benny Lo
Guest Editorial Data Science in Smart Healthcare: Challenges and Opportunities. IEEE J. Biomed. Health Informatics 24 (11) (2020)
Giacomo Baruzzo, Ilaria Patuzzi, Barbara Di Camillo
SPARSim single cell: a count data simulator for scRNA-seq data. Bioinform. 36 (5) (2020)
Sebastian Daberdaku, Erica Tavazzi, Barbara Di Camillo
A Combined Interpolation and Weighted K-Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory Data. J. Heal. Informatics Res. 4 (2) (2020)
Enrico Longato, Martina Vettoretti, Barbara Di Camillo
A practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event models. J. Biomed. Informatics 108 (2020)
Erica Tavazzi, Sebastian Daberdaku, Rosario Vasta, Andrea Calvo, Adriano Chiò, Barbara Di Camillo
Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach. BMC Medical Informatics Decis. Mak. (5) (2020)
Irene Zorzan, Simone Del Favero, Barbara Di Camillo, Luca Schenato
Analysis of a Minimal Gene Regulatory Network for Cell Differentiation. IEEE Control. Syst. Lett. 3 (2) (2019)
Sebastian Daberdaku, Erica Tavazzi, Barbara Di Camillo
Interpolation and K-Nearest Neighbours Combined Imputation for Longitudinal ICU Laboratory Data. ICHI (2019)
Alessandra Dal Molin, Barbara Di Camillo
How to design a single-cell RNA-sequencing experiment: pitfalls, challenges and perspectives. Briefings Bioinform. 20 (4) (2019)
Alessandro Zandonà, Rosario Vasta, Adriano Chiò, Barbara Di Camillo
A Dynamic Bayesian Network model for the simulation of Amyotrophic Lateral Sclerosis progression. BMC Bioinform. (4) (2019)
Enrico Longato, Barbara Di Camillo, Giovanni Sparacino, Claudio Saccavini, Arianna Cocchiglia, Lara Tramontan, Gian Paolo Fadini
Detecting Undiagnosed Diabetes: Proof-of-Concept Based on the Health-Information Exchange System of the Veneto Region (North-East Italy). EMBC (2019)
Ilaria Patuzzi, Giacomo Baruzzo, Carmen Losasso, Antonia Ricci, Barbara Di Camillo
metaSPARSim: a 16S rRNA gene sequencing count data simulator. BMC Bioinform. (9) (2019)
Enrico Grisan, Alessandro Zandonà, Barbara Di Camillo
Deep convolutional neural network for survival estimation of Amyotrophic Lateral Sclerosis patients. ESANN (2019)
Francesco Sambo, Francesca Finotello, Enrico Lavezzo, Giacomo Baruzzo, Giulia Masi, Elektra Peta, Marco Falda, Stefano Toppo, Luisa Barzon, Barbara Di Camillo
Optimizing PCR primers targeting the bacterial 16S ribosomal RNA gene. BMC Bioinform. 19 (1) (2018)
Francesca Finotello, Eleonora Mastrorilli, Barbara Di Camillo
Measuring the diversity of the human microbiota with targeted next-generation sequencing. Briefings Bioinform. 19 (4) (2018)
Martina Vettoretti, Enrico Longato, Barbara Di Camillo, Andrea Facchinetti
Importance of Recalibrating Models for Type 2 Diabetes Onset Prediction: Application of the Diabetes Population Risk Tool on the Health and Retirement Study. EMBC (2018)
Alessandro Zandonà, Matilde Francescon, Maya Bronfeld, Andrea Calvo, Adriano Chiò, Barbara Di Camillo
A Dynamic Bayesian Network model for simulation of disease progression in Amyotrophic Lateral Sclerosis patients. PeerJ Prepr. 5 (2017)
Alberto Franzin, Francesco Sambo, Barbara Di Camillo
bnstruct: an R package for Bayesian Network structure learning in the presence of missing data. Bioinform. 33 (8) (2017)
Barbara Di Camillo, Azzurra Carlon, Federica Eduati, Gianna Maria Toffolo
A rule-based model of insulin signalling pathway. BMC Syst. Biol. 10 (2016)
Francesco Sambo, Barbara Di Camillo, Alberto Franzin, Andrea Facchinetti, Liisa Hakaste, Jasmina Kravic, Giuseppe Fico, Jaakko Tuomilehto, Leif Groop, Rafael Gabriel, Tuomi Tiinamaija, Claudio Cobelli
A Bayesian Network analysis of the probabilistic relations between risk factors in the predisposition to type 2 diabetes. EMBC (2015)
Francesco Sambo, Andrea Facchinetti, Liisa Hakaste, Jasmina Kravic, Barbara Di Camillo, Giuseppe Fico, Jaakko Tuomilehto, Leif Groop, Rafael Gabriel, Tuomi Tiinamaija, Claudio Cobelli
A Bayesian Network for Probabilistic Reasoning and Imputation of Missing Risk Factors in Type 2 Diabetes. AIME (2015)
Simone Marini, Emanuele Trifoglio, Nicola Barbarini, Francesco Sambo, Barbara Di Camillo, Alberto Malovini, Marco Manfrini, Claudio Cobelli, Riccardo Bellazzi
A Dynamic Bayesian Network model for long-term simulation of clinical complications in type 1 diabetes. J. Biomed. Informatics 57 (2015)
Alberto Giaretta, Barbara Di Camillo, Luisa Barzon, Gianna Maria Toffolo
Modeling HPV early promoter regulation. EMBC (2015)
Francesco Sambo, Barbara Di Camillo, Gianna Toffolo, Claudio Cobelli
Compression and fast retrieval of SNP data. Bioinform. 30 (21) (2014)
Barbara Di Camillo, Francesco Sambo, Gianna Toffolo, Claudio Cobelli
ABACUS: an entropy-based cumulative bivariate statistic robust to rare variants and different direction of genotype effect. Bioinform. 30 (3) (2014)
Francesca Finotello, Enrico Lavezzo, Luca Bianco, Luisa Barzon, Paolo Mazzon, Paolo Fontana, Stefano Toppo, Barbara Di Camillo
Reducing bias in RNA sequencing data: a novel approach to compute counts. BMC Bioinform. 15 (S-1) (2014)
Grzegorz Zycinski, Annalisa Barla, Margherita Squillario, Tiziana Sanavia, Barbara Di Camillo, Alessandro Verri
Knowledge Driven Variable Selection (KDVS) - a new approach to enrichment analysis of gene signatures obtained from high-throughput data. Source Code Biol. Medicine 8 (2013)
Tiziana Sanavia, Fabio Aiolli, Giovanni Da San Martino, Andrea Bisognin, Barbara Di Camillo
Improving biomarker list stability by integration of biological knowledge in the learning process. BMC Bioinform. 13 (S-4) (2012)
Federica Eduati, Javier De Las Rivas, Barbara Di Camillo, Gianna Toffolo, Julio Saez-Rodriguez
Integrating literature-constrained and data-driven inference of signalling networks. Bioinform. 28 (18) (2012)
Grzegorz Zycinski, Margherita Squillario, Annalisa Barla, Tiziana Sanavia, Alessandro Verri, Barbara Di Camillo
Discriminant functional gene groups identification with machine learning and prior knowledge. ESANN (2012)
Marco Falda, Stefano Toppo, Alessandro Pescarolo, Enrico Lavezzo, Barbara Di Camillo, Andrea Facchinetti, Elisa Cilia, Riccardo Velasco, Paolo Fontana
Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms. BMC Bioinform. 13 (S-4) (2012)
Francesco Sambo, Barbara Di Camillo
Minimizing Time When Applying Bootstrap to Contingency Tables Analysis of Genome-Wide Data. LION (2012)
Silvana Badaloni, Barbara Di Camillo, Francesco Sambo
Qualitative Reasoning for Biological Network Inference from Systematic Perturbation Experiments. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (5) (2012)
Federica Eduati, Barbara Di Camillo, Michael Karbiener, Marcel Scheideler, Davide Corà, Michele Caselle, Gianna Toffolo
Dynamic Modeling of miRNA-mediated Feed-Forward Loops. J. Comput. Biol. 19 (2) (2012)
Francesca Finotello, Enrico Lavezzo, Paolo Fontana, Denis Peruzzo, Alessandro Albiero, Luisa Barzon, Marco Falda, Barbara Di Camillo, Stefano Toppo
Comparative analysis of algorithms for whole-genome assembly of pyrosequencing data. Briefings Bioinform. 13 (3) (2012)
Barbara Di Camillo, Marco Falda, Gianna Toffolo, Claudio Cobelli
SimBioNeT: A Simulator of Biological Network Topology. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (2) (2012)
Francesco Sambo, Marco Antonio Montes de Oca, Barbara Di Camillo, Gianna Toffolo, Thomas Stützle
MORE: Mixed Optimization for Reverse Engineering - An Application to Modeling Biological Networks Response via Sparse Systems of Nonlinear Differential Equations. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (5) (2012)
Francesco Sambo, Emanuele Trifoglio, Barbara Di Camillo, Gianna Maria Toffolo, Claudio Cobelli
Bag of Naïve Bayes: biomarker selection and classification from genome-wide SNP data. BMC Bioinform. 13 (S-14) (2012)
Alberto Corradin, Barbara Di Camillo, Vincenzo Ciminale, Gianna Toffolo, Claudio Cobelli
Sensitivity Analysis of Retrovirus HTLV-1 Transactivation. J. Comput. Biol. 18 (2) (2011)
Sara Nasso, Francesco Silvestri, Francesco Tisiot, Barbara Di Camillo, Andrea Pietracaprina, Gianna Maria Toffolo
An Optimized Data Structure for High Throughput 3D Proteomics Data: mzRTree CoRR (2010)
Alberto Corradin, Barbara Di Camillo, Francesca Rende, Vincenzo Ciminale, Gianna Toffolo, Claudio Cobelli
Retrovirus HTLV-1 Gene Circuit: A Potential Oscillator for Eukaryotes. Pacific Symposium on Biocomputing (2010)
Francesco Sambo, Barbara Di Camillo
Qualitative Reasoning on Systematic Gene Perturbation Experiments. CIBB (2010)
Francesco Sambo, Marco Antonio Montes de Oca, Barbara Di Camillo, Thomas Stützle
On the Difficulty of Inferring Gene Regulatory Networks: A Study of the Fitness Landscape Generated by Relative Squared Error. Artificial Evolution (2009)
Barbara Di Camillo, Gianna Toffolo, Sreekumaran K. Nair, Laura J. Greenlund, Claudio Cobelli
Significance analysis of microarray transcript levels in time series experiments. BMC Bioinform. 8 (S-1) (2007)
Barbara Di Camillo, Fátima Sánchez-Cabo, Gianna Toffolo, Sreekumaran K. Nair, Zlatko Trajanoski, Claudio Cobelli
A quantization method based on threshold optimization for microarray short time series. BMC Bioinform. 6 (S-4) (2005)