LOMBARDI, MICHELE
LOMBARDI, MICHELE
DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA
Docenti di ruolo di IIa fascia
M. Lombardi; M. Lombard; Lombardi M.; Michele Lombardi
Ai-driven morphoclimatic regional frequency modelling of sub-daily rainfall-extremes
2024 Magnini, A.; Lombardi, M.; Ouarda, T. B. M. J.; Castellarin, A.
Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method
2024 Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano
GUMBLE: Uncertainty-Aware Conditional Mobile Data Generation using Bayesian Learning
2024 Skocaj, Marco; Amorosa, Lorenzo Mario; Lombardi, Michele; Verdone, Roberto
Long-Term Fairness Strategies in Ranking with Continuous Sensitive Attributes
2024 Giuliani, L.; Misino, E.; Calegari, R.; Lombardi, M.
On-line strategy selection for reducing overcrowding in an Emergency Department
2024 Fabbri, C.; Lombardi, M.; Malaguti, E.; Monaci, M.
QAL-BP: an augmented Lagrangian quantum approach for bin packing
2024 Cellini, L.; Macaluso, A.; Lombardi, M.
Swarm Intelligence: A Novel and Unconventional Approach to Dance Choreography Creation
2024 Braccini, M.; De Filippo, A.; Lombardi, M.; Milano, M.
UNIFY: A unified policy designing framework for solving integrated Constrained Optimization and Machine Learning problems
2024 Silvestri, Mattia; De Filippo, Allegra; Lombardi, Michele; Milano, Michela
A geometric framework for fairness
2023 Maggio A.; Giuliani L.; Calegari R.; Lombardi M.; Milano M.
An Analysis of Universal Differential Equations for Data-Driven Discovery of Ordinary Differential Equations
2023 Silvestri, Mattia; Baldo, Federico; Misino, Eleonora; Lombardi, Michele
Computational Asymmetries in Robust Classification
2023 Marro Samuele, Lombardi Michele
FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System
2023 Misino E.; Calegari R.; Lombardi M.; Milano M.
Generalized Disparate Impact for Configurable Fairness Solutions in ML
2023 Giuliani L.; Misino E.; Lombardi M.
Geomorphic flood hazard mapping: from floodplain delineation to flood hazard characterization
2023 Magnini, Andrea; Lombardi, Michele; Bujari, Armir; Mattivi, Pietro; Shustikova, Iuliia; Persiano, Simone; Patella, Marco; Bitelli, Gabriele; Bellavista, Paolo; Lo Conti, Francesco; Tirri, Antonio; Bagli, Stefano; Mazzoli, Paolo; Castellarin, Attilio
Knowledge Integration in Neural Networks for E-Maintenance: Application to an Oil & Gas Plant
2023 Silvestri Mattia, Lombardi Michele, Mucchi Emiliano, Piantanida Marco, Cadei Luca, Magnago Giovanna, D'Ottavio Valentina, Tu Nguyen Van, Duma Simona, Taddei Silvia, Tiozzo Annagiulia, Corneo Andrea, Rocchi Laura, Di Gilferraro Pietro Coffari
Machine learning based analysis for intellectual disability in Down syndrome
2023 Baldo, Federico; Piovesan, Allison; Rakvin, Marijana; Ramacieri, Giuseppe; Locatelli, Chiara; Lanfranchi, Silvia; Onnivello, Sara; Pulina, Francesca; Caracausi, Maria; Antonaros, Francesca; Lombardi, Michele; Pelleri, Maria Chiara
Hybrid Offline/Online Optimization for Energy Management via Reinforcement Learning
2022 Silvestri M.; De Filippo A.; Ruggeri F.; Lombardi M.
Informed Deep Learning for Epidemics Forecasting
2022 Federico Baldo, Michele Iannello, Michele Lombardi, Michela Milano
Machine-learning blends of geomorphic descriptors: value and limitations for flood hazard assessment across large floodplains
2022 Magnini A.; Lombardi M.; Persiano S.; Tirri A.; Lo Conti F.; Castellarin A.
Strategies for Improving the Error Robustness of Convolutional Neural Networks
2022 Morais A.; Barbosa R.; Lourenco N.; Cerveira F.; Lombardi M.; Madeira H.
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| Ai-driven morphoclimatic regional frequency modelling of sub-daily rainfall-extremes | Magnini, A.; Lombardi, M.; Ouarda, T. B. M. J.; Castellarin, A. | 2024-01-01 | JOURNAL OF HYDROLOGY | - | 1.01 Articolo in rivista | Magnini et al JHYDROL AI-driven rainfall extremes 1-s2.0-S0022169424002543-main.pdf |
| Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method | Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano | 2024-01-01 | - | IJCAI | 4.01 Contributo in Atti di convegno | 0820.pdf |
| GUMBLE: Uncertainty-Aware Conditional Mobile Data Generation using Bayesian Learning | Skocaj, Marco; Amorosa, Lorenzo Mario; Lombardi, Michele; Verdone, Roberto | 2024-01-01 | IEEE TRANSACTIONS ON MOBILE COMPUTING | - | 1.01 Articolo in rivista | 2024_GUMBLE_Uncertainty_Aware_Conditional_Mobile_Data_Generation.pdf |
| Long-Term Fairness Strategies in Ranking with Continuous Sensitive Attributes | Giuliani, L.; Misino, E.; Calegari, R.; Lombardi, M. | 2024-01-01 | - | CEUR-WS | 4.01 Contributo in Atti di convegno | - |
| On-line strategy selection for reducing overcrowding in an Emergency Department | Fabbri, C.; Lombardi, M.; Malaguti, E.; Monaci, M. | 2024-01-01 | OMEGA | - | 1.01 Articolo in rivista | Fabbri_Lombardi_Malaguti_Monaci-ED-Omega.pdf |
| QAL-BP: an augmented Lagrangian quantum approach for bin packing | Cellini, L.; Macaluso, A.; Lombardi, M. | 2024-01-01 | SCIENTIFIC REPORTS | - | 1.01 Articolo in rivista | s41598-023-50540-3.pdf |
| Swarm Intelligence: A Novel and Unconventional Approach to Dance Choreography Creation | Braccini, M.; De Filippo, A.; Lombardi, M.; Milano, M. | 2024-01-01 | - | CEUR-WS | 4.01 Contributo in Atti di convegno | - |
| UNIFY: A unified policy designing framework for solving integrated Constrained Optimization and Machine Learning problems | Silvestri, Mattia; De Filippo, Allegra; Lombardi, Michele; Milano, Michela | 2024-01-01 | KNOWLEDGE-BASED SYSTEMS | - | 1.01 Articolo in rivista | 1-s2.0-S0950705124010177-main.pdf |
| A geometric framework for fairness | Maggio A.; Giuliani L.; Calegari R.; Lombardi M.; Milano M. | 2023-01-01 | - | CEUR-WS | 4.01 Contributo in Atti di convegno | paper9.pdf |
| An Analysis of Universal Differential Equations for Data-Driven Discovery of Ordinary Differential Equations | Silvestri, Mattia; Baldo, Federico; Misino, Eleonora; Lombardi, Michele | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Computational Asymmetries in Robust Classification | Marro Samuele, Lombardi Michele | 2023-01-01 | - | PMLR | 4.01 Contributo in Atti di convegno | - |
| FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System | Misino E.; Calegari R.; Lombardi M.; Milano M. | 2023-01-01 | - | CEUR-WS | 4.01 Contributo in Atti di convegno | paper5.pdf |
| Generalized Disparate Impact for Configurable Fairness Solutions in ML | Giuliani L.; Misino E.; Lombardi M. | 2023-01-01 | - | ML Research Press | 4.01 Contributo in Atti di convegno | giuliani23a.pdf |
| Geomorphic flood hazard mapping: from floodplain delineation to flood hazard characterization | Magnini, Andrea; Lombardi, Michele; Bujari, Armir; Mattivi, Pietro; Shustikova, Iuliia; Persiano,... Simone; Patella, Marco; Bitelli, Gabriele; Bellavista, Paolo; Lo Conti, Francesco; Tirri, Antonio; Bagli, Stefano; Mazzoli, Paolo; Castellarin, Attilio | 2023-01-01 | HYDROLOGICAL SCIENCES JOURNAL | - | 1.01 Articolo in rivista | Geomorphic flood hazard mapping from floodplain delineation to flood hazard characterization.pdf |
| Knowledge Integration in Neural Networks for E-Maintenance: Application to an Oil & Gas Plant | Silvestri Mattia, Lombardi Michele, Mucchi Emiliano, Piantanida Marco, Cadei Luca, Magnago Giovan...na, D'Ottavio Valentina, Tu Nguyen Van, Duma Simona, Taddei Silvia, Tiozzo Annagiulia, Corneo Andrea, Rocchi Laura, Di Gilferraro Pietro Coffari | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Machine learning based analysis for intellectual disability in Down syndrome | Baldo, Federico; Piovesan, Allison; Rakvin, Marijana; Ramacieri, Giuseppe; Locatelli, Chiara; Lan...franchi, Silvia; Onnivello, Sara; Pulina, Francesca; Caracausi, Maria; Antonaros, Francesca; Lombardi, Michele; Pelleri, Maria Chiara | 2023-01-01 | HELIYON | - | 1.01 Articolo in rivista | Baldo 2023 ML DS.pdf; ScienceDirect_files_26Feb2024_14-48-17.874.zip |
| Hybrid Offline/Online Optimization for Energy Management via Reinforcement Learning | Silvestri M.; De Filippo A.; Ruggeri F.; Lombardi M. | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | CPAIOR_2022___DRL_for_hybrid_offline_online_optimization.pdf |
| Informed Deep Learning for Epidemics Forecasting | Federico Baldo, Michele Iannello, Michele Lombardi, Michela Milano | 2022-01-01 | - | IOS Press BV | 4.01 Contributo in Atti di convegno | FAIA-351-FAIA220067.pdf |
| Machine-learning blends of geomorphic descriptors: value and limitations for flood hazard assessment across large floodplains | Magnini A.; Lombardi M.; Persiano S.; Tirri A.; Lo Conti F.; Castellarin A. | 2022-01-01 | NATURAL HAZARDS AND EARTH SYSTEM SCIENCES | - | 1.01 Articolo in rivista | nhess-22-1469-2022_compressed.pdf |
| Strategies for Improving the Error Robustness of Convolutional Neural Networks | Morais A.; Barbosa R.; Lourenco N.; Cerveira F.; Lombardi M.; Madeira H. | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |