Barbara Di Camillo
Orcid: 0000-0001-8415-4688
According to our database1,
Barbara Di Camillo
authored at least 72 papers
between 2003 and 2024.
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Bibliography
2024
Proceedings of the Advances in Information Retrieval, 2024
2023
A model to forecast the two-year variation of subjective wellbeing in the elderly population.
BMC Medical Informatics Decis. Mak., December, 2023
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.
Artif. Intell. Medicine, August, 2023
Proceedings of the Advances in Information Retrieval, 2023
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023
Baseline Machine Learning Approaches To Predict Multiple Sclerosis Disease Progression.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023
Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis.
Proceedings of the Artificial Intelligence in Medicine, 2023
2022
Leveraging process mining for modeling progression trajectories in amyotrophic lateral sclerosis.
BMC Medical Informatics Decis. Mak., November, 2022
PLoS Comput. Biol., September, 2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
From translational bioinformatics computational methodologies to personalized medicine.
J. Biomed. Informatics, 2022
Time-series analysis of multidimensional clinical-laboratory data by dynamic Bayesian networks reveals trajectories of COVID-19 outcomes.
Comput. Methods Programs Biomed., 2022
Identify, quantify and characterize cellular communication from single-cell RNA sequencing data with <i>scSeqComm</i>.
Bioinform., 2022
Explainable Deep-Learning Model Reveals Past Cardiovascular Disease in Patients with Diabetes Using Free-Form Visit Reports.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022
Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022
2021
A Deep Learning Approach to Predict Diabetes' Cardiovascular Complications From Administrative Claims.
IEEE J. Biomed. Health Informatics, 2021
Mathematical modelling of SigE regulatory network reveals new insights into bistability of mycobacterial stress response.
BMC Bioinform., 2021
Beware to ignore the rare: how imputing zero-values can improve the quality of 16S rRNA gene studies results.
BMC Bioinform., 2021
Briefings Bioinform., 2021
Comparing the Predictive Power of Heart Failure Hospitalisation Risk Scores in the Diabetic Outpatient Clinic and Primary Care Settings.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Predicting hypertension onset using logistic regression models with labs and/or easily accessible variables: the role of blood pressure measurements.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
A Dynamic Bayesian Network model for simulating the progression to diabetes onset in the ageing population.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
Recurrent Neural Network to Predict Renal Function Impairment in Diabetic Patients via Longitudinal Routine Check-up Data.
Proceedings of the Artificial Intelligence in Medicine, 2021
2020
IEEE J. Biomed. Health Informatics, 2020
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., 2020
A Combined Interpolation and Weighted K-Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory Data.
J. Heal. Informatics Res., 2020
A practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event models.
J. Biomed. Informatics, 2020
2019
IEEE Control. Syst. Lett., 2019
A Dynamic Bayesian Network model for the simulation of Amyotrophic Lateral Sclerosis progression.
BMC Bioinform., 2019
How to design a single-cell RNA-sequencing experiment: pitfalls, challenges and perspectives.
Briefings Bioinform., 2019
Interpolation and K-Nearest Neighbours Combined Imputation for Longitudinal ICU Laboratory Data.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019
Deep convolutional neural network for survival estimation of Amyotrophic Lateral Sclerosis patients.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
Detecting Undiagnosed Diabetes: Proof-of-Concept Based on the Health-Information Exchange System of the Veneto Region (North-East Italy).
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
BMC Bioinform., 2018
Measuring the diversity of the human microbiota with targeted next-generation sequencing.
Briefings Bioinform., 2018
Importance of Recalibrating Models for Type 2 Diabetes Onset Prediction: Application of the Diabetes Population Risk Tool on the Health and Retirement Study.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
A Dynamic Bayesian Network model for simulation of disease progression in Amyotrophic Lateral Sclerosis patients.
PeerJ Prepr., 2017
bnstruct: an R package for Bayesian Network structure learning in the presence of missing data.
Bioinform., 2017
2016
2015
A Dynamic Bayesian Network model for long-term simulation of clinical complications in type 1 diabetes.
J. Biomed. Informatics, 2015
A Bayesian Network analysis of the probabilistic relations between risk factors in the predisposition to type 2 diabetes.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
A Bayesian Network for Probabilistic Reasoning and Imputation of Missing Risk Factors in Type 2 Diabetes.
Proceedings of the Artificial Intelligence in Medicine, 2015
2014
BMC Bioinform., 2014
ABACUS: an entropy-based cumulative bivariate statistic robust to rare variants and different direction of genotype effect.
Bioinform., 2014
2013
Knowledge Driven Variable Selection (KDVS) - a new approach to enrichment analysis of gene signatures obtained from high-throughput data.
Source Code Biol. Medicine, 2013
2012
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., 2012
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
Qualitative Reasoning for Biological Network Inference from Systematic Perturbation Experiments.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
Improving biomarker list stability by integration of biological knowledge in the learning process.
BMC Bioinform., 2012
Bag of Naïve Bayes: biomarker selection and classification from genome-wide SNP data.
BMC Bioinform., 2012
Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms.
BMC Bioinform., 2012
Bioinform., 2012
Briefings Bioinform., 2012
Minimizing Time When Applying Bootstrap to Contingency Tables Analysis of Genome-Wide Data.
Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012
Discriminant functional gene groups identification with machine learning and prior knowledge.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
2011
2010
CoRR, 2010
Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2010
2009
On the Difficulty of Inferring Gene Regulatory Networks: A Study of the Fitness Landscape Generated by Relative Squared Error.
Proceedings of the Artifical Evolution, 2009
2007
BMC Bioinform., 2007
2005
A quantization method based on threshold optimization for microarray short time series.
BMC Bioinform., 2005
2003