GIORDANI, ILARIA

GIORDANI, ILARIA  

DIPARTIMENTO DI INFORMATICA, SISTEMISTICA E COMUNICAZIONE  

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Titolo Tipologia Data di pubblicazione Autori File
Wasserstein-Enabled Leaks Localization in Water Distribution Networks 01 - Articolo su rivista 2024 Ponti, AGiordani, ICandelieri, AArchetti, F
Distributional learning in multi-objective optimization of recommender systems 01 - Articolo su rivista 2023 Candelieri A.Ponti A.Giordani I.Bosio A.Archetti F.
Intrusion Detection in Networks by Wasserstein Enabled Many-Objective Evolutionary Algorithms 01 - Articolo su rivista 2023 Andrea PontiAntonio CandelieriIlaria GiordaniFrancesco Archetti
On the use of Wasserstein distance in the distributional analysis of human decision making under uncertainty 01 - Articolo su rivista 2023 Candelieri A.Ponti A.Giordani I.Archetti F.
Lost in Optimization of Water Distribution Systems: Better Call Bayes 01 - Articolo su rivista 2022 Candelieri A.Ponti A.Giordani I.Archetti F.
Network Vulnerability Analysis in Wasserstein Spaces 02 - Intervento a convegno 2022 Ponti, ACandelieri, ABosio, AGiordani, IArchetti, F +
The “Unreasonable” Effectiveness of the Wasserstein Distance in Analyzing Key Performance Indicators of a Network of Stores 01 - Articolo su rivista 2022 Ponti A.Giordani I.Candelieri A.Archetti F. +
A novel graph‐based vulnerability metric in urban network infrastructures: The case of water distribution networks 01 - Articolo su rivista 2021 Ponti, ACandelieri, AGiordani, IArchetti, F
Probabilistic measures of edge criticality in graphs: a study in water distribution networks 01 - Articolo su rivista 2021 Ponti A.Candelieri A.Giordani I.Archetti F.
Are Humans Bayesian in the Optimization of Black-Box Functions? 02 - Intervento a convegno 2020 Candelieri, APerego, RGiordani, IArchetti, F
Bayesian Optimization for Recommender System 03 - Contributo in libro 2020 Galuzzi, BGGiordani, ICandelieri, APerego, RArchetti, F
Composition of kernel and acquisition functions for high dimensional bayesian optimization 02 - Intervento a convegno 2020 Candelieri, AGiordani, IPerego, RArchetti, F
Graph data base: An enabling technology for drug prescription patterns analysis 01 - Articolo su rivista 2020 Giordani I.Archetti F.Candelieri A.Arosio G. +
Hyperparameter optimization for recommender systems through Bayesian optimization 01 - Articolo su rivista 2020 Galuzzi B. G.Giordani I.Candelieri A.Perego R.Archetti F.
Learning optimal control of water distribution networks through sequential model-based optimization 03 - Contributo in libro 2020 Candelieri, AGaluzzi, BGiordani, IArchetti, F
Modelling human active search in optimizing black-box functions 01 - Articolo su rivista 2020 Candelieri A.Perego R.Giordani I.Ponti A.Archetti F.
Optimizing Partially Defined Black-Box Functions Under Unknown Constraints via Sequential Model Based Optimization: An Application to Pump Scheduling Optimization in Water Distribution Networks 03 - Contributo in libro 2020 Candelieri, AGaluzzi, BGiordani, IPerego, RArchetti, F
Business information systems for the cost/energy management of water distribution networks: a critical appraisal of alternative optimization strategies 03 - Contributo in libro 2019 Candelieri, AGaluzzi, BG.Giordani, IPerego, RArchetti, F
Efficiency and resilience assessment under cascading failures in transit networks 03 - Contributo in libro 2019 Candelieri, AGiordani, IGaluzzi, BGArchetti, F
Graph analysis and similarity detection: an application on Italian medical prescriptions 02 - Intervento a convegno 2019 Mariani, PGiordani, IMarletta, AMussini, MZenga, M