Sfoglia per Autore
Generating and comparing knowledge graphs of medical processes using pMineR
2017-01-01 Gatta, R.; Vallati, M.; Lenkowicz, J.; Rojas, E.; Damiani, A.; Sacchi, L.; De Bari, B.; Dagliati, A.; Fernandez-Llatas, C.; Montesi, M.; Marchetti, A.; Castellano, M.; Valentini, V.
PRODIGE: PRediction models in prOstate cancer for personalized meDIcine challenGE
2017-01-01 Alitto, A.; Gatta, R.; Vanneste, B.; Vallati, M.; Meldolesi, E.; Damiani, A.; Lanzotti, V.; Mattiucci, G.; Frascino, V.; Masciocchi, C.; Catucci, F.; Dekker, A.; Lambin, P.; Valentini, V.; Mantini, G.
Development and validation of a machine learning-based predictive model to improve the prediction of inguinal status of anal cancer patients: A preliminary report
2017-01-01 De Bari, B.; Vallati, M.; Gatta, R.; Lestrade, L.; Manfrida, S.; Carrie, C.; Valentini, V.
Performance robustness of AI planners in the 2014 International Planning Competition
2018-01-01 Bocchese, Andrea f.; Fawcett, Chris; Vallati, Mauro; Gerevini, Alfonso e.; Hoos, Holger h.
Enumerating preferred extensions using ASP domain heuristics: The ASPrMin solver
2018-01-01 Faber, Wolfgang; Vallati, Mauro; Cerutti, Federico; Giacomin, Massimiliano
A framework for event log generation and knowledge representation for process mining in healthcare
2018-01-01 Gatta, R.; Vallati, M.; Lenkowicz, J.; Casa, C.; Cellini, F.; Damiani, A.; Valentini, V.
A general approach for configuring PDDL problem models
2018-01-01 Vallati, Mauro; Serina, Ivan
How we designed winning algorithms for abstract argumentation and which insight we attained
2019-01-01 Cerutti, F.; Giacomin, M.; Vallati, M.
MEvo: a framework for effective macro sets evolution
2019-01-01 Vallati, M.; Chrpa, L.; Serina, I.
On the feasibility of distributed process mining in healthcare
2019-01-01 Gatta, R.; Vallati, M.; Lenkowicz, J.; Masciocchi, C.; Cellini, F.; Boldrini, L.; Llatas, C. F.; Valentini, V.; Damiani, A.
Clinical Guidelines: A Crossroad of Many Research Areas. Challenges and Opportunities in Process Mining for Healthcare
2019-01-01 Gatta, R.; Vallati, M.; Fernandez-Llatas, C.; Martinez-Millana, A.; Orini, S.; Sacchi, L.; Lenkowicz, J.; Marcos, M.; Munoz-Gama, J.; Cuendet, M.; de Bari, B.; Marco-Ruiz, L.; Stefanini, A.; Castellano, M.
Predictive models and abstract argumentation: the case of high-complexity semantics
2019-01-01 Vallati, Mauro; Cerutti, Federico; Giacomin, Massimiliano
Configurable Heuristic Adaptation for Improving Best First Search in AI Planning
2020-01-01 Serina, I.; Vallati, M.
On computing the set of acceptable arguments in abstract argumentation
2020-01-01 Thimm, M.; Cerutti, F.; Vallati, M.
An empirical analysis of predictors for workload estimation in healthcare
2020-01-01 Gatta, R.; Vallati, M.; Pirola, I.; Lenkowicz, J.; Tagliaferri, L.; Cappelli, C.; Castellano, M.
Generating and exploiting cost predictions in heuristic state-space planning
2020-01-01 Percassi, F.; Gerevini, A. E.; Scala, E.; Serina, I.; Vallati, M.
An experimental analysis on the similarity of argumentation semantics
2020-01-01 Cerutti, F.; Thimm, M.; Vallati, M.
An efficient algorithm for admissible argumentation stages
2020-01-01 Zanetti, T.; Giacomin, M.; Vallati, M.; Cerutti, F.
What role can process mining play in recurrent clinical guidelines issues? A position paper
2020-01-01 Gatta, R.; Vallati, M.; Fernandez-Llatas, C.; Martinez-Millana, A.; Orini, S.; Sacchi, L.; Lenkowicz, J.; Marcos, M.; Munoz-Gama, J.; Cuendet, M. A.; de Bari, B.; Marco-Ruiz, L.; Stefanini, A.; Valero-Ramon, Z.; Michielin, O.; Lapinskas, T.; Montvila, A.; Martin, N.; Tavazzi, E.; Castellano, M.
An Efficient Algorithm for Semi-stable Extensions
2021-01-01 Cerutti, F.; Giacomin, M.; Vallati, M.; Zanetti, T.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Generating and comparing knowledge graphs of medical processes using pMineR | 1-gen-2017 | Gatta, R.; Vallati, M.; Lenkowicz, J.; Rojas, E.; Damiani, A.; Sacchi, L.; De Bari, B.; Dagliati, A.; Fernandez-Llatas, C.; Montesi, M.; Marchetti, A.; Castellano, M.; Valentini, V. | |
| PRODIGE: PRediction models in prOstate cancer for personalized meDIcine challenGE | 1-gen-2017 | Alitto, A.; Gatta, R.; Vanneste, B.; Vallati, M.; Meldolesi, E.; Damiani, A.; Lanzotti, V.; Mattiucci, G.; Frascino, V.; Masciocchi, C.; Catucci, F.; Dekker, A.; Lambin, P.; Valentini, V.; Mantini, G. | |
| Development and validation of a machine learning-based predictive model to improve the prediction of inguinal status of anal cancer patients: A preliminary report | 1-gen-2017 | De Bari, B.; Vallati, M.; Gatta, R.; Lestrade, L.; Manfrida, S.; Carrie, C.; Valentini, V. | |
| Performance robustness of AI planners in the 2014 International Planning Competition | 1-gen-2018 | Bocchese, Andrea f.; Fawcett, Chris; Vallati, Mauro; Gerevini, Alfonso e.; Hoos, Holger h. | |
| Enumerating preferred extensions using ASP domain heuristics: The ASPrMin solver | 1-gen-2018 | Faber, Wolfgang; Vallati, Mauro; Cerutti, Federico; Giacomin, Massimiliano | |
| A framework for event log generation and knowledge representation for process mining in healthcare | 1-gen-2018 | Gatta, R.; Vallati, M.; Lenkowicz, J.; Casa, C.; Cellini, F.; Damiani, A.; Valentini, V. | |
| A general approach for configuring PDDL problem models | 1-gen-2018 | Vallati, Mauro; Serina, Ivan | |
| How we designed winning algorithms for abstract argumentation and which insight we attained | 1-gen-2019 | Cerutti, F.; Giacomin, M.; Vallati, M. | |
| MEvo: a framework for effective macro sets evolution | 1-gen-2019 | Vallati, M.; Chrpa, L.; Serina, I. | |
| On the feasibility of distributed process mining in healthcare | 1-gen-2019 | Gatta, R.; Vallati, M.; Lenkowicz, J.; Masciocchi, C.; Cellini, F.; Boldrini, L.; Llatas, C. F.; Valentini, V.; Damiani, A. | |
| Clinical Guidelines: A Crossroad of Many Research Areas. Challenges and Opportunities in Process Mining for Healthcare | 1-gen-2019 | Gatta, R.; Vallati, M.; Fernandez-Llatas, C.; Martinez-Millana, A.; Orini, S.; Sacchi, L.; Lenkowicz, J.; Marcos, M.; Munoz-Gama, J.; Cuendet, M.; de Bari, B.; Marco-Ruiz, L.; Stefanini, A.; Castellano, M. | |
| Predictive models and abstract argumentation: the case of high-complexity semantics | 1-gen-2019 | Vallati, Mauro; Cerutti, Federico; Giacomin, Massimiliano | |
| Configurable Heuristic Adaptation for Improving Best First Search in AI Planning | 1-gen-2020 | Serina, I.; Vallati, M. | |
| On computing the set of acceptable arguments in abstract argumentation | 1-gen-2020 | Thimm, M.; Cerutti, F.; Vallati, M. | |
| An empirical analysis of predictors for workload estimation in healthcare | 1-gen-2020 | Gatta, R.; Vallati, M.; Pirola, I.; Lenkowicz, J.; Tagliaferri, L.; Cappelli, C.; Castellano, M. | |
| Generating and exploiting cost predictions in heuristic state-space planning | 1-gen-2020 | Percassi, F.; Gerevini, A. E.; Scala, E.; Serina, I.; Vallati, M. | |
| An experimental analysis on the similarity of argumentation semantics | 1-gen-2020 | Cerutti, F.; Thimm, M.; Vallati, M. | |
| An efficient algorithm for admissible argumentation stages | 1-gen-2020 | Zanetti, T.; Giacomin, M.; Vallati, M.; Cerutti, F. | |
| What role can process mining play in recurrent clinical guidelines issues? A position paper | 1-gen-2020 | Gatta, R.; Vallati, M.; Fernandez-Llatas, C.; Martinez-Millana, A.; Orini, S.; Sacchi, L.; Lenkowicz, J.; Marcos, M.; Munoz-Gama, J.; Cuendet, M. A.; de Bari, B.; Marco-Ruiz, L.; Stefanini, A.; Valero-Ramon, Z.; Michielin, O.; Lapinskas, T.; Montvila, A.; Martin, N.; Tavazzi, E.; Castellano, M. | |
| An Efficient Algorithm for Semi-stable Extensions | 1-gen-2021 | Cerutti, F.; Giacomin, M.; Vallati, M.; Zanetti, T. |
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