Gianvito Pio
Orcid: 0000-0003-2520-3616
According to our database1,
Gianvito Pio
authored at least 50 papers
between 2012 and 2024.
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Bibliography
2024
Multi-class boosting for the analysis of multiple incomplete views on microbiome data.
BMC Bioinform., December, 2024
Nowcasting of the energy production of wind power plants through spatially-aware model trees.
Proceedings of the 32nd Symposium of Advanced Database Systems, 2024
Exploiting microRNA Expression Data for the Diagnosis of Disease Conditions and the Discovery of Novel Biomarkers.
Proceedings of the Foundations of Intelligent Systems - 27th International Symposium, 2024
Improving the Robustness to Color Perturbations of Classification and Regression Models in the Visual Evaluation of Fruits and Vegetables.
Proceedings of the Foundations of Intelligent Systems - 27th International Symposium, 2024
2023
Variational Bayes estimation of hierarchical Dirichlet-multinomial mixtures for text clustering.
Comput. Stat., December, 2023
World Wide Web (WWW), September, 2023
Forecasting and what-if analysis of new positive COVID-19 cases during the first three waves in Italy.
Medical Biol. Eng. Comput., August, 2023
Multi-view overlapping clustering for the identification of the subject matter of legal judgments.
Inf. Sci., August, 2023
Inf. Fusion, April, 2023
On the exploitation of the blockchain technology in the healthcare sector: A systematic review.
Expert Syst. Appl., 2023
Proceedings of the 31st Symposium of Advanced Database Systems, 2023
2022
Inf. Sci., 2022
Integrating genome-scale metabolic modelling and transfer learning for human gene regulatory network reconstruction.
Bioinform., 2022
PRILJ: an efficient two-step method based on embedding and clustering for the identification of regularities in legal case judgments.
Artif. Intell. Law, 2022
Identification of Paragraph Regularities in Legal Judgements Through Clustering and Textual Embedding.
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022
Leveraging Spatio-Temporal Autocorrelation to Improve the Forecasting of the Energy Consumption in Smart Grids.
Proceedings of the Discovery Science - 25th International Conference, 2022
Distributed Heterogeneous Transfer Learning for Link Prediction in the Positive Unlabeled Setting.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent.
Data Min. Knowl. Discov., 2021
A Two-Step Method based on Embedding and Clustering to Identify Regularities in Legal Case Judgements (Discussion Paper).
Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021
Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data.
Proceedings of the Discovery Science - 24th International Conference, 2021
2020
Mach. Learn., 2020
Prediction of new associations between ncRNAs and diseases exploiting multi-type hierarchical clustering.
BMC Bioinform., 2020
Exploiting transfer learning for the reconstruction of the human gene regulatory network.
Bioinform., 2020
ECHAD: Embedding-Based Change Detection From Multivariate Time Series in Smart Grids.
IEEE Access, 2020
2019
J. Big Data, 2019
Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction (Discussion Paper).
Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019
2018
IEEE Trans. Knowl. Data Eng., 2018
Inf. Sci., 2018
Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction.
Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018
2017
Proceedings of the 25th Italian Symposium on Advanced Database Systems, 2017
Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017
Proceedings of the Discovery Science - 20th International Conference, 2017
2016
Semi-Supervised Multi-View Learning for Gene Network Reconstruction.
Proceedings of the 24th Italian Symposium on Advanced Database Systems, 2016
Multi-Type Classification from Heterogeneous Networks.
Proceedings of the 24th Italian Symposium on Advanced Database Systems, 2016
2015
Non-negative Matrix Tri-Factorization for co-clustering: An analysis of the block matrix.
Inf. Sci., 2015
BMC Bioinform., 2015
Proceedings of the Discovery Science - 18th International Conference, 2015
2014
ACM Journal on Computing and Cultural Heritage, 2014
Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach.
BMC Bioinform., 2014
Learning to Combine miRNA Target Predictions: a Semi-supervised Ensemble Learning Approach.
Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014
2013
A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes.
BMC Bioinform., 2013
HOCCLUS2: A Biclustering Algorithm for the Discovery of miRNA: mRNA regulatory modules.
Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013
Proceedings of the Bridging Between Cultural Heritage Institutions, 2013
2012
Proceedings of the Twentieth Italian Symposium on Advanced Database Systems, 2012
Proceedings of the ECAI 2012, 2012