PIO, GIANVITO
PIO, GIANVITO
DIPARTIMENTO DI INFORMATICA
A Brief Review on Compositional Inference of Microbiome Data
2021-01-01 Bilancia, Massimo; Manca, Fabio; Pio, Gianvito
A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes
2013-01-01 Pio, Gianvito; Ceci, Michelangelo; D'Elia, D; Loglisci, Corrado; Malerba, Donato
A novel biclustering algorithm for the discovery of meaningful biological correlations between miRNAs and mRNAs
2012-01-01 Pio, Gianvito; Ceci, Michelangelo; D'Elia, D; Loglisci, Corrado; Malerba, Donato
A novel random forest-based approach for the non-destructive and explainable estimation of ammonia and chlorophyll in fresh-cut rocket leaves
2024-01-01 Polimena, S.; Pio, G.; Cefola, M.; Palumbo, M.; Ceci, M.; Attolico, G.
A toolbox of machine learning software to support microbiome analysis
2023-01-01 Marcos-Zambrano, L. J.; Lopez-Molina, V. M.; Bakir-Gungor, B.; Frohme, M.; Karaduzovic-Hadziabdic, K.; Klammsteiner, T.; Ibrahimi, E.; Lahti, L.; Loncar-Turukalo, T.; Dhamo, X.; Simeon, A.; Nechyporenko, A.; Pio, G.; Przymus, P.; Sampri, A.; Trajkovik, V.; Lacruz-Pleguezuelos, B.; Aasmets, O.; Araujo, R.; Anagnostopoulos, I.; Aydemir, O.; Berland, M.; Calle, M. L.; Ceci, M.; Duman, H.; Gundogdu, A.; Havulinna, A. S.; Kaka Bra, K. H. N.; Kalluci, E.; Karav, S.; Lode, D.; Lopes, M. B.; May, P.; Nap, B.; Nedyalkova, M.; Paciencia, I.; Pasic, L.; Pujolassos, M.; Shigdel, R.; Susin, A.; Thiele, I.; Truica, C. -O.; Wilmes, P.; Yilmaz, E.; Yousef, M.; Claesson, M. J.; Truu, J.; Carrillo de Santa Pau, E.
Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action
2023-01-01 D'Elia, D.; Truu, J.; Lahti, L.; Berland, M.; Papoutsoglou, G.; Ceci, M.; Zomer, A.; Lopes, M. B.; Ibrahimi, E.; Gruca, A.; Nechyporenko, A.; Frohme, M.; Klammsteiner, T.; Pau, E. C. -D. S.; Marcos-Zambrano, L. J.; Hron, K.; Pio, G.; Simeon, A.; Suharoschi, R.; Moreno-Indias, I.; Temko, A.; Nedyalkova, M.; Apostol, E. -S.; Truica, C. -O.; Shigdel, R.; Telalovic, J. H.; Bongcam-Rudloff, E.; Przymus, P.; Jordamovic, N. B.; Falquet, L.; Tarazona, S.; Sampri, A.; Isola, G.; Perez-Serrano, D.; Trajkovik, V.; Klucar, L.; Loncar-Turukalo, T.; Havulinna, A. S.; Jansen, C.; Bertelsen, R. J.; Claesson, M. J.
Big Data analytics for knowledge transfer among organisms while reconstructing Gene Regulatory Networks
2021-01-01 Mignone, Paolo; Pio, Gianvito; D'Elia, Domenica; Ceci, Michelangelo
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent
2021-01-01 Hess, S.; Pio, G.; Hochstenbach, M.; Ceci, M.
CARROT: Simultaneous prediction of anomalies from groups of correlated cryptocurrency trends
2025-01-01 Pellicani, Antonio; Pio, Gianvito; Ceci, Michelangelo
ComiRNet: A web-based system for the analysis of miRNA-gene regulatory networks
2015-01-01 Pio, Gianvito; Ceci, Michelangelo; Malerba, Donato; D'Elia, Domenica
DENCAST: distributed density-based clustering for multi-target regression
2019-01-01 Corizzo, R.; Pio, G.; Ceci, M.; Malerba, D.
Discovering Novelty Patterns from the Ancient Christian Inscriptions of Rome
2014-01-01 Pio, Gianvito; Fumarola, F; Felle, Antonio; Malerba, Donato; Ceci, Michelangelo
Distributed Heterogeneous Transfer Learning
2022-01-01 Mignone, P.; Pio, G.; Ceci, M.
Distributed Heterogeneous Transfer Learning
2024-01-01 Mignone, Paolo; Pio, Gianvito; Ceci, Michelangelo
Distributed Heterogeneous Transfer Learning for Link Prediction in the Positive Unlabeled Setting
2022-01-01 Mignone, Paolo; Pio, Gianvito; Ceci, Michelangelo
ECHAD: Embedding-Based Change Detection from Multivariate Time Series in Smart Grids
2020-01-01 Ceci, M.; Corizzo, R.; Japkowicz, N.; Mignone, P.; Pio, G.
EDB: Knowledge Technologies for Ancient Greek and Latin Epigraphy
2014-01-01 Fumarola, F; Pio, Gianvito; Felle, Antonio; Malerba, Donato; Ceci, Michelangelo
Ensemble Learning for Multi-Type Classification in Heterogeneous Networks
2018-01-01 Serafino, Francesco; Pio, Gianvito; Ceci, Michelangelo
Exploiting causality in gene network reconstruction based on graph embedding
2019-01-01 Pio, Gianvito; Ceci, Michelangelo; Prisciandaro, Francesca; Malerba, Donato
Exploiting causality in gene network reconstruction based on graph embedding
2020-01-01 Pio, G.; Ceci, M.; Prisciandaro, F.; Malerba, D.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Brief Review on Compositional Inference of Microbiome Data | 1-gen-2021 | Bilancia, Massimo; Manca, Fabio; Pio, Gianvito | |
| A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes | 1-gen-2013 | Pio, Gianvito; Ceci, Michelangelo; D'Elia, D; Loglisci, Corrado; Malerba, Donato | |
| A novel biclustering algorithm for the discovery of meaningful biological correlations between miRNAs and mRNAs | 1-gen-2012 | Pio, Gianvito; Ceci, Michelangelo; D'Elia, D; Loglisci, Corrado; Malerba, Donato | |
| A novel random forest-based approach for the non-destructive and explainable estimation of ammonia and chlorophyll in fresh-cut rocket leaves | 1-gen-2024 | Polimena, S.; Pio, G.; Cefola, M.; Palumbo, M.; Ceci, M.; Attolico, G. | |
| A toolbox of machine learning software to support microbiome analysis | 1-gen-2023 | Marcos-Zambrano, L. J.; Lopez-Molina, V. M.; Bakir-Gungor, B.; Frohme, M.; Karaduzovic-Hadziabdic, K.; Klammsteiner, T.; Ibrahimi, E.; Lahti, L.; Loncar-Turukalo, T.; Dhamo, X.; Simeon, A.; Nechyporenko, A.; Pio, G.; Przymus, P.; Sampri, A.; Trajkovik, V.; Lacruz-Pleguezuelos, B.; Aasmets, O.; Araujo, R.; Anagnostopoulos, I.; Aydemir, O.; Berland, M.; Calle, M. L.; Ceci, M.; Duman, H.; Gundogdu, A.; Havulinna, A. S.; Kaka Bra, K. H. N.; Kalluci, E.; Karav, S.; Lode, D.; Lopes, M. B.; May, P.; Nap, B.; Nedyalkova, M.; Paciencia, I.; Pasic, L.; Pujolassos, M.; Shigdel, R.; Susin, A.; Thiele, I.; Truica, C. -O.; Wilmes, P.; Yilmaz, E.; Yousef, M.; Claesson, M. J.; Truu, J.; Carrillo de Santa Pau, E. | |
| Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action | 1-gen-2023 | D'Elia, D.; Truu, J.; Lahti, L.; Berland, M.; Papoutsoglou, G.; Ceci, M.; Zomer, A.; Lopes, M. B.; Ibrahimi, E.; Gruca, A.; Nechyporenko, A.; Frohme, M.; Klammsteiner, T.; Pau, E. C. -D. S.; Marcos-Zambrano, L. J.; Hron, K.; Pio, G.; Simeon, A.; Suharoschi, R.; Moreno-Indias, I.; Temko, A.; Nedyalkova, M.; Apostol, E. -S.; Truica, C. -O.; Shigdel, R.; Telalovic, J. H.; Bongcam-Rudloff, E.; Przymus, P.; Jordamovic, N. B.; Falquet, L.; Tarazona, S.; Sampri, A.; Isola, G.; Perez-Serrano, D.; Trajkovik, V.; Klucar, L.; Loncar-Turukalo, T.; Havulinna, A. S.; Jansen, C.; Bertelsen, R. J.; Claesson, M. J. | |
| Big Data analytics for knowledge transfer among organisms while reconstructing Gene Regulatory Networks | 1-gen-2021 | Mignone, Paolo; Pio, Gianvito; D'Elia, Domenica; Ceci, Michelangelo | |
| BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent | 1-gen-2021 | Hess, S.; Pio, G.; Hochstenbach, M.; Ceci, M. | |
| CARROT: Simultaneous prediction of anomalies from groups of correlated cryptocurrency trends | 1-gen-2025 | Pellicani, Antonio; Pio, Gianvito; Ceci, Michelangelo | |
| ComiRNet: A web-based system for the analysis of miRNA-gene regulatory networks | 1-gen-2015 | Pio, Gianvito; Ceci, Michelangelo; Malerba, Donato; D'Elia, Domenica | |
| DENCAST: distributed density-based clustering for multi-target regression | 1-gen-2019 | Corizzo, R.; Pio, G.; Ceci, M.; Malerba, D. | |
| Discovering Novelty Patterns from the Ancient Christian Inscriptions of Rome | 1-gen-2014 | Pio, Gianvito; Fumarola, F; Felle, Antonio; Malerba, Donato; Ceci, Michelangelo | |
| Distributed Heterogeneous Transfer Learning | 1-gen-2022 | Mignone, P.; Pio, G.; Ceci, M. | |
| Distributed Heterogeneous Transfer Learning | 1-gen-2024 | Mignone, Paolo; Pio, Gianvito; Ceci, Michelangelo | |
| Distributed Heterogeneous Transfer Learning for Link Prediction in the Positive Unlabeled Setting | 1-gen-2022 | Mignone, Paolo; Pio, Gianvito; Ceci, Michelangelo | |
| ECHAD: Embedding-Based Change Detection from Multivariate Time Series in Smart Grids | 1-gen-2020 | Ceci, M.; Corizzo, R.; Japkowicz, N.; Mignone, P.; Pio, G. | |
| EDB: Knowledge Technologies for Ancient Greek and Latin Epigraphy | 1-gen-2014 | Fumarola, F; Pio, Gianvito; Felle, Antonio; Malerba, Donato; Ceci, Michelangelo | |
| Ensemble Learning for Multi-Type Classification in Heterogeneous Networks | 1-gen-2018 | Serafino, Francesco; Pio, Gianvito; Ceci, Michelangelo | |
| Exploiting causality in gene network reconstruction based on graph embedding | 1-gen-2019 | Pio, Gianvito; Ceci, Michelangelo; Prisciandaro, Francesca; Malerba, Donato | |
| Exploiting causality in gene network reconstruction based on graph embedding | 1-gen-2020 | Pio, G.; Ceci, M.; Prisciandaro, F.; Malerba, D. |