Hierarchical and Overlapping Co-Clustering of mRNA: miRNA Interactions. - Gianvito Pio; Michelangelo Ceci; Corrado Loglisci; Domenica D'Elia; Donato Malerba (ECAI, 2012)

Mining Temporal Evolution of Criminal Behaviors. - Gianvito Pio; Michelangelo Ceci; Donato Malerba (SEBD, 2012)

EDB: Knowledge Technologies for Ancient Greek and Latin Epigraphy. - Fabio Fumarola; Gianvito Pio; Antonio E. Felle; Donato Malerba; Michelangelo Ceci (IRCDL, 2013)

HOCCLUS2: A Biclustering Algorithm for the Discovery of miRNA: mRNA regulatory modules. - Gianvito Pio; Michelangelo Ceci; Domenica D'Elia; Corrado Loglisci; Donato Malerba (SEBD, 2013)

A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes. - Gianvito Pio; Michelangelo Ceci; Domenica D'Elia; Corrado Loglisci; Donato Malerba (BMC Bioinform., 2013)

Fast Fuzzy Inference in Octave. - Piero Molino; Gianvito Pio; Corrado Mencar (Int. J. Comput. Intell. Syst., 2013)

Mining Temporal Evolution of Entities in a Stream of Textual Documents. - Gianvito Pio; Pasqua Fabiana Lanotte; Michelangelo Ceci; Donato Malerba (ISMIS, 2014)

Network Reconstruction for the Identification of miRNA: mRNA Interaction Networks. - Gianvito Pio; Michelangelo Ceci; Domenica D'Elia; Donato Malerba (ECML/PKDD (3), 2014)

Learning to Combine miRNA Target Predictions: a Semi-supervised Ensemble Learning Approach. - Gianvito Pio; Michelangelo Ceci; Domenica D'Elia; Donato Malerba (SEBD, 2014)

Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach. - Gianvito Pio; Donato Malerba; Domenica D'Elia; Michelangelo Ceci (BMC Bioinform., 2014)

Discovering Novelty Patterns from the Ancient Christian Inscriptions of Rome. - Gianvito Pio; Fabio Fumarola; Antonio E. Felle; Donato Malerba; Michelangelo Ceci (ACM Journal on Computing and Cultural Heritage, 2014)

Hierarchical Multidimensional Classification of Web Documents with MultiWebClass. - Francesco Serafino 002; Gianvito Pio; Michelangelo Ceci; Donato Malerba (Discovery Science, 2015)

ComiRNet: a web-based system for the analysis of miRNA-gene regulatory networks. - Gianvito Pio; Michelangelo Ceci; Donato Malerba; Domenica D'Elia (BMC Bioinform., 2015)

Non-negative Matrix Tri-Factorization for co-clustering: An analysis of the block matrix. - Nicoletta Del Buono; Gianvito Pio (Inf. Sci., 2015)

Multi-Type Classification from Heterogeneous Networks. - Francesco Serafino 002; Gianvito Pio; Donato Malerba; Michelangelo Ceci (SEBD, 2016)

Semi-Supervised Multi-View Learning for Gene Network Reconstruction. - Michelangelo Ceci; Gianvito Pio; Vladimir Kuzmanovski; Saso Dzeroski (SEBD, 2016)

LOCANDA: Exploiting Causality in the Reconstruction of Gene Regulatory Networks. - Gianvito Pio; Michelangelo Ceci; Francesca Prisciandaro; Donato Malerba (DS, 2017)

Identifying lncRNA-Disease Relationships via Heterogeneous Clustering. - Emanuele Pio Barracchia; Gianvito Pio; Donato Malerba; Michelangelo Ceci (NFMCP@PKDD/ECML, 2017)

Forecasting via Distributed Density-Based Clustering. - Roberto Corizzo; Gianvito Pio; Michelangelo Ceci; Donato Malerba (SEBD, 2017)

Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction. - Paolo Mignone; Gianvito Pio (ISMIS, 2018)

Multi-type clustering and classification from heterogeneous networks. - Gianvito Pio; Francesco Serafino 002; Donato Malerba; Michelangelo Ceci (Inf. Sci., 2018)

Ensemble Learning for Multi-Type Classification in Heterogeneous Networks. - Francesco Serafino 002; Gianvito Pio; Michelangelo Ceci (IEEE Trans. Knowl. Data Eng., 2018)

Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction (Discussion Paper). - Paolo Mignone; Gianvito Pio; Michelangelo Ceci (SEBD, 2019)

DENCAST: distributed density-based clustering for multi-target regression. - Roberto Corizzo; Gianvito Pio; Michelangelo Ceci; Donato Malerba (J. Big Data, 2019)

ECHAD: Embedding-Based Change Detection From Multivariate Time Series in Smart Grids. - Michelangelo Ceci; Roberto Corizzo; Nathalie Japkowicz; Paolo Mignone; Gianvito Pio (IEEE Access, 2020)

Exploiting transfer learning for the reconstruction of the human gene regulatory network. - Paolo Mignone; Gianvito Pio; Domenica D'Elia; Michelangelo Ceci (Bioinform., 2020)

Prediction of new associations between ncRNAs and diseases exploiting multi-type hierarchical clustering. - Emanuele Pio Barracchia; Gianvito Pio; Domenica D'Elia; Michelangelo Ceci (BMC Bioinform., 2020)

Exploiting causality in gene network reconstruction based on graph embedding. - Gianvito Pio; Michelangelo Ceci; Francesca Prisciandaro; Donato Malerba (Mach. Learn., 2020)

Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data. - Roberto Corizzo; Michelangelo Ceci; Gianvito Pio; Paolo Mignone; Nathalie Japkowicz (DS, 2021)

A Two-Step Method based on Embedding and Clustering to Identify Regularities in Legal Case Judgements (Discussion Paper). - Graziella De Martino; Gianvito Pio; Michelangelo Ceci (SEBD, 2021)

BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent. - Sibylle Hess; Gianvito Pio; Michiel E. Hochstenbach; Michelangelo Ceci (Data Min. Knowl. Discov., 2021)

Distributed Heterogeneous Transfer Learning for Link Prediction in the Positive Unlabeled Setting. - Paolo Mignone; Gianvito Pio; Michelangelo Ceci (IEEE Big Data, 2022)

Leveraging Spatio-Temporal Autocorrelation to Improve the Forecasting of the Energy Consumption in Smart Grids. - Annunziata D'Aversa; Stefano Polimena; Gianvito Pio; Michelangelo Ceci (DS, 2022)

Identification of Paragraph Regularities in Legal Judgements Through Clustering and Textual Embedding. - Graziella De Martino; Gianvito Pio (ISMIS, 2022)

PRILJ: an efficient two-step method based on embedding and clustering for the identification of regularities in legal case judgments. - Graziella De Martino; Gianvito Pio; Michelangelo Ceci (Artif. Intell. Law, 2022)

Integrating genome-scale metabolic modelling and transfer learning for human gene regulatory network reconstruction. - Gianvito Pio; Paolo Mignone; Giuseppe Magazzù; Guido Zampieri; Michelangelo Ceci; Claudio Angione (Bioinform., 2022)

LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding. - Emanuele Pio Barracchia; Gianvito Pio; Albert Bifet; Heitor Murilo Gomes; Bernhard Pfahringer; Michelangelo Ceci (Inf. Sci., 2022)

Relational tree ensembles and feature rankings. - Matej Petkovic; Michelangelo Ceci; Gianvito Pio; Blaz Skrlj; Kristian Kersting; Saso Dzeroski (Knowl. Based Syst., 2022)

Real-Time Anomaly Prediction from Cryptocurrency Time Series. - Antonio Pellicani; Gianvito Pio; Sao Deroski; Michelangelo Ceci (PKDD/ECML Workshops (3), 2023)

A Multi-Perspective Approach for Risky User Identification in Social Networks. - Antonio Pellicani; Gianvito Pio; Michelangelo Ceci (SEBD, 2023)

On the exploitation of the blockchain technology in the healthcare sector: A systematic review. - Valeria Merlo; Gianvito Pio; Francesco Giusto; Massimo Bilancia (Expert Syst. Appl., 2023)

SAIRUS: Spatially-aware identification of risky users in social networks. - Antonio Pellicani; Gianvito Pio; Domenico Redavid; Michelangelo Ceci (Inf. Fusion, 2023)

Multi-view overlapping clustering for the identification of the subject matter of legal judgments. - Graziella De Martino; Gianvito Pio; Michelangelo Ceci (Inf. Sci., 2023)

Forecasting and what-if analysis of new positive COVID-19 cases during the first three waves in Italy. - Serena De Ruvo; Gianvito Pio; Gennaro Vessio; Vincenzo Volpe (Medical Biol. Eng. Comput., 2023)

HURI: Hybrid user risk identification in social networks. - Roberto Corizzo; Gianvito Pio; Emanuele Pio Barracchia; Antonio Pellicani; Nathalie Japkowicz; Michelangelo Ceci (World Wide Web (WWW), 2023)

Variational Bayes estimation of hierarchical Dirichlet-multinomial mixtures for text clustering. - Massimo Bilancia; Michele Di Nanni; Fabio Manca; Gianvito Pio (Comput. Stat., 2023)

Leveraging Spatio-Temporal Locality in Linear Model Trees for Multi-Step Time Series Forecasting. - Annunziata D'Aversa; Gianvito Pio; Michelangelo Ceci (IEEE Big Data, 2024)

Handling the Challenges of Microbiome Data through Supervised Autoencoders for the Non-invasive Disease Diagnosis. - Veronica Buttaro; Michelangelo Ceci; Gianvito Pio (DS (LB), 2024)

COCOWEARS: A framework for COntinuum COmputing WEARable Systems. - Gianluca Aloi; Fabio Frustaci; Raffaele Gravina; Antonio Guerrieri; Gianvito Pio; Claudio Savaglio (ISM, 2024)

Improving the Robustness to Color Perturbations of Classification and Regression Models in the Visual Evaluation of Fruits and Vegetables. - Stefano Polimena; Gianvito Pio; Giovanni Attolico; Michelangelo Ceci (ISMIS, 2024)

Exploiting microRNA Expression Data for the Diagnosis of Disease Conditions and the Discovery of Novel Biomarkers. - Daniele Rosa; Antonio Pellicani; Gianvito Pio; Domenica D'Elia; Michelangelo Ceci (ISMIS, 2024)

Nowcasting of the energy production of wind power plants through spatially-aware model trees. - Annunziata D'Aversa; Gianvito Pio (SEBD, 2024)

Distributed Heterogeneous Transfer Learning. - Paolo Mignone; Gianvito Pio; Michelangelo Ceci (Big Data Res., 2024)

Multi-class boosting for the analysis of multiple incomplete views on microbiome data. - Andrea Simeon; Milos Radovanovic 001; Tatjana Loncar-Turukalo; Michelangelo Ceci; Sanja Brdar; Gianvito Pio (BMC Bioinform., 2024)

CARROT: Simultaneous prediction of anomalies from groups of correlated cryptocurrency trends. - Antonio Pellicani; Gianvito Pio; Michelangelo Ceci (Expert Syst. Appl., 2025)

Multi-view Learning for the Identification of Risky Users in Dynamic Social Networks. - Francesco Benedetti; Antonio Pellicani; Gianvito Pio; Michelangelo Ceci (CoRR, 2025)