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Ensemble Learning for Multi-Type Classification in Heterogeneous Networks

IEEE transactions on knowledge and data engineering, 2018-12, Vol.30 (12), p.2326-2339

2018

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Multi-task learning for the simultaneous reconstruction of the human and mouse gene regulatory networks

Scientific reports, 2020-12, Vol.10 (1), p.22295-22295, Article 22295

2020

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Exploiting causality in gene network reconstruction based on graph embedding

Machine learning, 2020-06, Vol.109 (6), p.1231-1279

2020

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Prediction of new associations between ncRNAs and diseases exploiting multi-type hierarchical clustering

BMC bioinformatics, 2020-02, Vol.21 (1), p.70-70, Article 70

2020

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BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent

Data mining and knowledge discovery, 2021-11, Vol.35 (6), p.2542-2576

2021

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Semi-Supervised Multi-View Learning for Gene Network Reconstruction

PloS one, 2015-12, Vol.10 (12), p.e0144031-e0144031

2015

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DENCAST: distributed density-based clustering for multi-target regression

Journal of big data, 2019-06, Vol.6 (1), p.1-27, Article 43

2019

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Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach

BMC bioinformatics, 2014, Vol.15 Suppl 1 (S1), p.S4-S4, Article S4

2014

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Multi-class boosting for the analysis of multiple incomplete views on microbiome data

BMC bioinformatics, 2024-05, Vol.25 (1), p.188-188, Article 188

2024

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ECHAD: embedding-based change detection from multivariate time series in smart grids

IEEE access, 2020-01, Vol.8, p.1-1

2020

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Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions

Frontiers in microbiology, 2021-02, Vol.12, p.635781-635781

2021

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CARROT: Simultaneous prediction of anomalies from groups of correlated cryptocurrency trends

Expert systems with applications, 2025-01, Vol.260, p.125457, Article 125457

2025

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Multi-view overlapping clustering for the identification of the subject matter of legal judgments

Information sciences, 2023-08, Vol.638, p.118956, Article 118956

2023

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On the exploitation of the blockchain technology in the healthcare sector: A systematic review

Expert systems with applications, 2023-03, Vol.213, p.118897, Article 118897

2023

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Exploiting transfer learning for the reconstruction of the human gene regulatory network

Bioinformatics, 2020-03, Vol.36 (5), p.1553-1561

2020

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Integrating genome-scale metabolic modelling and transfer learning for human gene regulatory network reconstruction

Bioinformatics, 2022-01, Vol.38 (2), p.487-493

2022

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Multi-type clustering and classification from heterogeneous networks

Information sciences, 2018-01, Vol.425, p.107-126

2018

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SAIRUS: Spatially-aware identification of risky users in social networks

Information fusion, 2023-04, Vol.92, p.435-449

2023

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Distributed Heterogeneous Transfer Learning

Big data research, 2024-08, Vol.37, p.100456, Article 100456

2024

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LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding

Information sciences, 2022-08, Vol.606, p.702-721

2022

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Forecasting and what-if analysis of new positive COVID-19 cases during the first three waves in Italy

Medical & biological engineering & computing, 2023-08, Vol.61 (8), p.2051-2066

2023

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Fast Fuzzy Inference in Octave

International journal of computational intelligence systems, 2013-04, Vol.6 (2), p.307-317

2013

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ComiRNet: a web-based system for the analysis of miRNA-gene regulatory networks

BMC bioinformatics, 2015-06, Vol.16 Suppl 9 (S9), p.S7-S7, Article S7

2015

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PRILJ: an efficient two-step method based on embedding and clustering for the identification of regularities in legal case judgments

Artificial intelligence and law, 2022-09, Vol.30 (3), p.359-390

2022

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Distributed Heterogeneous Transfer Learning for Link Prediction in the Positive Unlabeled Setting

2022 IEEE International Conference on Big Data (Big Data), 2022, p.5536-5541

2022

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Ensemble Learning for Multi-Type Classification in Heterogeneous Networks

Multi-task learning for the simultaneous reconstruction of the human and mouse gene regulatory networks

Exploiting causality in gene network reconstruction based on graph embedding

Prediction of new associations between ncRNAs and diseases exploiting multi-type hierarchical clustering

BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent

Semi-Supervised Multi-View Learning for Gene Network Reconstruction

DENCAST: distributed density-based clustering for multi-target regression

Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach

Multi-class boosting for the analysis of multiple incomplete views on microbiome data

ECHAD: embedding-based change detection from multivariate time series in smart grids

Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions

CARROT: Simultaneous prediction of anomalies from groups of correlated cryptocurrency trends

Multi-view overlapping clustering for the identification of the subject matter of legal judgments

On the exploitation of the blockchain technology in the healthcare sector: A systematic review

Exploiting transfer learning for the reconstruction of the human gene regulatory network

Integrating genome-scale metabolic modelling and transfer learning for human gene regulatory network reconstruction

Multi-type clustering and classification from heterogeneous networks

SAIRUS: Spatially-aware identification of risky users in social networks

Distributed Heterogeneous Transfer Learning

LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding

Forecasting and what-if analysis of new positive COVID-19 cases during the first three waves in Italy

Fast Fuzzy Inference in Octave

ComiRNet: a web-based system for the analysis of miRNA-gene regulatory networks

PRILJ: an efficient two-step method based on embedding and clustering for the identification of regularities in legal case judgments

Distributed Heterogeneous Transfer Learning for Link Prediction in the Positive Unlabeled Setting

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