CASA, Alessandro Statistiche
CASA, Alessandro
Dipartimento di Scienze Economiche
Classification of cow diet based on milk Mid Infrared Spectra: A data analysis competition at the “International Workshop on Spectroscopy and Chemometrics 2022”
2023-01-01 Frizzarin, M.; Visentin, G.; Ferragina, A.; Hayes, E.; Bevilacqua, A.; Dhariyal, B.; Domijan, K.; Khan, H.; Ifrim, G.; Le Nguyen, T.; Meagher, J.; Menchetti, L.; Singh, A.; Whoriskey, S.; Williamson, R.; Zappaterra, M.; Casa, Alessandro
Penalized Model-Based Clustering with Group-Dependent Shrinkage Estimation
2023-01-01 Casa, Alessandro; Cappozzo, Andrea; Fop, Michael
Group-wise penalized estimation schemes in model-based clustering = Strategie di stima penalizzata a livello di gruppo nel clustering basato su modello
2022-01-01 Casa, Alessandro; Cappozzo, Andrea; Fop, Michael
Group‐Wise Shrinkage Estimation in Penalized Model‐Based Clustering
2022-01-01 Casa, Alessandro; Cappozzo, Andrea; Fop, Michael
Model ensemble in density-based clustering
2022-01-01 Casa, Alessandro; Scrucca, Luca; Menardi, Giovanna
Nonparametric semi-supervised classification with application to signal detection in high energy physics
2022-01-01 Casa, Alessandro; Menardi, Giovanna
Parsimonious Bayesian factor analysis for modelling latent structures in spectroscopy data
2022-01-01 Casa, Alessandro; O'Callaghan, Tom F.; Murphy, Thomas Brendan
Trend filtering for functional regression = Trend filtering per regressione funzionale
2022-01-01 Ferraccioli, Federico; Casa, Alessandro; Stefanucci, Marco
Unveiling patterns in spectroscopy data via a Bayesian latent variables approach
2022-01-01 Casa, Alessandro; O'Callaghan, Tom; Murphy, Thomas Brendan
[Contributed discussion to:] Sally Paganin, Amy H. Herring, Andrew F. Olshan, David B. Dunson, Centered partition processes: Informative priors for clustering
2021-01-01 Casa, Alessandro; Fop, Michael; Murphy, Thomas Brendan
Advances in Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider
2021-01-01 Stakia, A.; Dorigo, T.; Banelli, G.; Bortoletto, D.; Casa, Alessandro; de Castro, P.; Delaere, C.; Donini, J.; Finos, L.; Gallinaro, M.; Giammanco, A.; Held, A.; Morales, F. J.; Kotkowski, G.; Liew, S. P.; Maltoni, F.; Menardi, G.; Papavergou, I.; Saggio, A.; Scarpa, B.; Strong, G. C.; Tosciri, C.; Varela, J.; Vischia, P.; Weiler, A.
Application of machine-learning methods to milk mid-infrared spectra for discrimination of cow milk from pasture or total mixed ration diets
2021-01-01 Frizzarin, M.; O'Callaghan, T. F.; Murphy, T. B.; Hennessy, D.; Casa, Alessandro
Better than the best? Answers via model ensemble in density-based clustering
2021-01-01 Casa, Alessandro; Scrucca, Luca; Menardi, Giovanna
Co-clustering of Time-Dependent Data via the Shape Invariant Model
2021-01-01 Casa, Alessandro; Bouveyron, Charles; Erosheva, Elena; Menardi, Giovanna
Mid infrared spectroscopy and milk quality traits: A data analysis competition at the "International Workshop on Spectroscopy and Chemometrics 2021"
2021-10-23 Frizzarin, M.; Bevilacqua, A.; Dhariyal, B.; Domijan, K.; Ferraccioli, F.; Hayes, E.; Ifrim, G.; Konkolewska, A.; Le Nguyen, T.; Mbaka, U.; Ranzato, G.; Singh, A.; Stefanucci, M.; Casa, Alessandro
Model-based clustering with sparse matrix mixture models
2021-01-01 Cappozzo, Andrea; Casa, Alessandro; Fop, Michael
Model-based co-clustering of multivariate time-dependent data
2021-01-01 Casa, Alessandro; Bouveyron, Charles; Erosheva, Elena; Menardi, Giovanna
Parsimonious modelling of spectroscopy data via a Bayesian latent variables approach = Modellazione parsimoniosa di dati spettroscopici mediante un approccio Bayesiano a variabili latenti
2021-01-01 Casa, Alessandro; O'Callaghan, Tom F.; Murphy, Thomas Brendan
Penalized model-based clustering for three-way data structures = Clustering penalizzato basato su un modello per dati con struttura tridimensionale
2021-01-01 Cappozzo, Andrea; Casa, Alessandro; Fop, Michael
Predicting cow milk quality traits from routinely available milk spectra using statistical machine learning methods
2021-01-01 Frizzarin, M.; Gormley, I. C.; Berry, D. P.; Murph, y. T. B.; Casa, Alessandro; Lynch, A.; Mcparland, S.
Data di pubblicazione | Titolo | Autore/i | Tipologia | Documento allegato |
---|---|---|---|---|
1-gen-2023 | Classification of cow diet based on milk Mid Infrared Spectra: A data analysis competition at the “International Workshop on Spectroscopy and Chemometrics 2022” | Frizzarin, M.; Visentin, G.; Ferragina, A.; Hayes, E.; Bevilacqua, A.; Dhariyal, B.; Domijan, K.; Khan, H.; Ifrim, G.; Le Nguyen, T.; Meagher, J.; Menchetti, L.; Singh, A.; Whoriskey, S.; Williamson, R.; Zappaterra, M.; Casa, Alessandro | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
1-gen-2023 | Penalized Model-Based Clustering with Group-Dependent Shrinkage Estimation | Casa, Alessandro; Cappozzo, Andrea; Fop, Michael | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
1-gen-2022 | Group-wise penalized estimation schemes in model-based clustering = Strategie di stima penalizzata a livello di gruppo nel clustering basato su modello | Casa, Alessandro; Cappozzo, Andrea; Fop, Michael | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
1-gen-2022 | Group‐Wise Shrinkage Estimation in Penalized Model‐Based Clustering | Casa, Alessandro; Cappozzo, Andrea; Fop, Michael | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
1-gen-2022 | Model ensemble in density-based clustering | Casa, Alessandro; Scrucca, Luca; Menardi, Giovanna | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.02 Abstract in atti di convegno - Conference abstracts | |
1-gen-2022 | Nonparametric semi-supervised classification with application to signal detection in high energy physics | Casa, Alessandro; Menardi, Giovanna | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
1-gen-2022 | Parsimonious Bayesian factor analysis for modelling latent structures in spectroscopy data | Casa, Alessandro; O'Callaghan, Tom F.; Murphy, Thomas Brendan | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
1-gen-2022 | Trend filtering for functional regression = Trend filtering per regressione funzionale | Ferraccioli, Federico; Casa, Alessandro; Stefanucci, Marco | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
1-gen-2022 | Unveiling patterns in spectroscopy data via a Bayesian latent variables approach | Casa, Alessandro; O'Callaghan, Tom; Murphy, Thomas Brendan | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.02 Abstract in atti di convegno - Conference abstracts | |
1-gen-2021 | [Contributed discussion to:] Sally Paganin, Amy H. Herring, Andrew F. Olshan, David B. Dunson, Centered partition processes: Informative priors for clustering | Casa, Alessandro; Fop, Michael; Murphy, Thomas Brendan | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
1-gen-2021 | Advances in Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider | Stakia, A.; Dorigo, T.; Banelli, G.; Bortoletto, D.; Casa, Alessandro; de Castro, P.; Delaere, C.; Donini, J.; Finos, L.; Gallinaro, M.; Giammanco, A.; Held, A.; Morales, F. J.; Kotkowski, G.; Liew, S. P.; Maltoni, F.; Menardi, G.; Papavergou, I.; Saggio, A.; Scarpa, B.; Strong, G. C.; Tosciri, C.; Varela, J.; Vischia, P.; Weiler, A. | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
1-gen-2021 | Application of machine-learning methods to milk mid-infrared spectra for discrimination of cow milk from pasture or total mixed ration diets | Frizzarin, M.; O'Callaghan, T. F.; Murphy, T. B.; Hennessy, D.; Casa, Alessandro | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
1-gen-2021 | Better than the best? Answers via model ensemble in density-based clustering | Casa, Alessandro; Scrucca, Luca; Menardi, Giovanna | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
1-gen-2021 | Co-clustering of Time-Dependent Data via the Shape Invariant Model | Casa, Alessandro; Bouveyron, Charles; Erosheva, Elena; Menardi, Giovanna | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
23-ott-2021 | Mid infrared spectroscopy and milk quality traits: A data analysis competition at the "International Workshop on Spectroscopy and Chemometrics 2021" | Frizzarin, M.; Bevilacqua, A.; Dhariyal, B.; Domijan, K.; Ferraccioli, F.; Hayes, E.; Ifrim, G.; Konkolewska, A.; Le Nguyen, T.; Mbaka, U.; Ranzato, G.; Singh, A.; Stefanucci, M.; Casa, Alessandro | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
1-gen-2021 | Model-based clustering with sparse matrix mixture models | Cappozzo, Andrea; Casa, Alessandro; Fop, Michael | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
1-gen-2021 | Model-based co-clustering of multivariate time-dependent data | Casa, Alessandro; Bouveyron, Charles; Erosheva, Elena; Menardi, Giovanna | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.02 Abstract in atti di convegno - Conference abstracts | |
1-gen-2021 | Parsimonious modelling of spectroscopy data via a Bayesian latent variables approach = Modellazione parsimoniosa di dati spettroscopici mediante un approccio Bayesiano a variabili latenti | Casa, Alessandro; O'Callaghan, Tom F.; Murphy, Thomas Brendan | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
1-gen-2021 | Penalized model-based clustering for three-way data structures = Clustering penalizzato basato su un modello per dati con struttura tridimensionale | Cappozzo, Andrea; Casa, Alessandro; Fop, Michael | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
1-gen-2021 | Predicting cow milk quality traits from routinely available milk spectra using statistical machine learning methods | Frizzarin, M.; Gormley, I. C.; Berry, D. P.; Murph, y. T. B.; Casa, Alessandro; Lynch, A.; Mcparland, S. | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays |