Antonio Candelieri

CoRR, 2022

BORA: Bayesian Optimization for Resource Allocation.

[BibT_eX]

[DOI]

CoRR, 2022

Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization.

[BibT_eX]

[DOI]

CoRR, 2022

The "Unreasonable" Effectiveness of the Wasserstein Distance in Analyzing Key Performance Indicators of a Network of Stores.

[BibT_eX]

[DOI]

Big Data Cogn. Comput., 2022

Explaining Exploration-Exploitation in Humans.

[BibT_eX]

[DOI]

Big Data Cogn. Comput., 2022

Network Vulnerability Analysis in Wasserstein Spaces.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022

Bayesian Optimization in Wasserstein Spaces.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022

Safe-Exploration of Control Policies from Safe-Experience via Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022

2021

Green machine learning via augmented Gaussian processes and multi-information source optimization.

[BibT_eX]

[DOI]

Riccardo Perego

Soft Comput., 2021

Sequential model based optimization of partially defined functions under unknown constraints.

[BibT_eX]

[DOI]

J. Glob. Optim., 2021

A Wasserstein distance based multiobjective evolutionary algorithm for the risk aware optimization of sensor placement.

[BibT_eX]

[DOI]

Intell. Syst. Appl., 2021

Gamifying optimization: a Wasserstein distance-based analysis of human search.

[BibT_eX]

[DOI]

CoRR, 2021

Bayesian Optimization and Deep Learning forsteering wheel angle prediction.

[BibT_eX]

[DOI]

CoRR, 2021

MISO-wiLDCosts: Multi Information Source Optimization with Location Dependent Costs.

[BibT_eX]

[DOI]

CoRR, 2021

Probabilistic measures of edge criticality in graphs: a study in water distribution networks.

[BibT_eX]

[DOI]

Appl. Netw. Sci., 2021

Treed-Gaussian Processes with Support Vector Machines as Nodes For Nonstationary Bayesian Optimization.

[BibT_eX]

[DOI]

Giulia Pedrielli

Proceedings of the Winter Simulation Conference, 2021

A Gentle Introduction to Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the Winter Simulation Conference, 2021

Deep Autonomous Agents Comparison for Self-driving Cars.

[BibT_eX]

[DOI]

Alessandro Riboni

Matteo Borrotti

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

Optimal Sensor Placement by Distribution Based Multiobjective Evolutionary Optimization.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021

Risk aware optimization of water sensor placement.

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

OCTIS: Comparing and Optimizing Topic models is Simple!

[BibT_eX]

[DOI]

Silvia Terragni

Elisabetta Fersini

Bruno Giovanni Galuzzi

Pietro Tropeano

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

Deep Learning Representations in Automatic Misogyny Identification: What Do We Gain and What Do We Miss?

[BibT_eX]

[DOI]

Proceedings of the Eighth Italian Conference on Computational Linguistics, 2021

Data efficient learning of implicit control strategies in Water Distribution Networks.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020

Safe global optimization of expensive noisy black-box functions in the δ-Lipschitz framework.

[BibT_eX]

[DOI]

Soft Comput., 2020

Modelling human active search in optimizing black-box functions.

[BibT_eX]

[DOI]

Soft Comput., 2020

Resilience in urban networked infrastructure: the case of Water Distribution Systems.

[BibT_eX]

[DOI]

CoRR, 2020

Hyperparameter optimization for recommender systems through Bayesian optimization.

[BibT_eX]

[DOI]

Comput. Manag. Sci., 2020

Optimal Scenario-Tree Selection for Multistage Stochastic Programming.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Composition of Kernel and Acquisition Functions for High Dimensional Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020

Learning Optimal Control of Water Distribution Networks Through Sequential Model-Based Optimization.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020

Tuning Deep Neural Network's Hyperparameters Constrained to Deployability on Tiny Systems.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

Global optimization in machine learning: the design of a predictive analytics application.

[BibT_eX]

[DOI]

Soft Comput., 2019

Efficient Kernel-Based Subsequence Search for Enabling Health Monitoring Services in IoT-Based Home Setting.

[BibT_eX]

[DOI]

Stanislav Fedorov

Enza Messina

Sensors, 2019

Vulnerability of public transportation networks against directed attacks and cascading failures.

[BibT_eX]

[DOI]

Public Transp., 2019

Efficient Kernel-based Subsequence Search for User Identification from Walking Activity.

[BibT_eX]

[DOI]

Stanislav Fedorov

Vincenzina Messina

CoRR, 2019

Tuning hyperparameters of a SVM-based water demand forecasting system through parallel global optimization.

[BibT_eX]

[DOI]

Comput. Oper. Res., 2019

Bayesian Optimization for Recommender System.

[BibT_eX]

[DOI]

Bruno Giovanni Galuzzi

Proceedings of the Optimization of Complex Systems: Theory, 2019

Are Humans Bayesian in the Optimization of Black-Box Functions?

[BibT_eX]

[DOI]

Proceedings of the Numerical Computations: Theory and Algorithms, 2019

Optimizing Partially Defined Black-Box Functions Under Unknown Constraints via Sequential Model Based Optimization: An Application to Pump Scheduling Optimization in Water Distribution Networks.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization - 13th International Conference, 2019

2018

Bayesian optimization of pump operations in water distribution systems.

[BibT_eX]

[DOI]

Raffaele Perego

J. Glob. Optim., 2018

Reachability-based safe learning for optimal control problem.

[BibT_eX]

[DOI]

Stanislav Fedorov

CoRR, 2018

Stochastic Optimization for Feasibility determination: an Application to water pump Operation in water Distribution Network.

[BibT_eX]

[DOI]

Proceedings of the 2018 Winter Simulation Conference, 2018

Intelligent Pump Scheduling Optimization in Water Distribution Networks.

[BibT_eX]

[DOI]

Riccardo Perego

Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018

A Multiple-Layer Clustering Method for Real-Time Decision Support in a Water Distribution System.

[BibT_eX]

[DOI]

Proceedings of the Business Information Systems Workshops, 2018

Business Information Systems for the Cost/Energy Management of Water Distribution Networks: A Critical Appraisal of Alternative Optimization Strategies.

[BibT_eX]

[DOI]

Proceedings of the Business Information Systems Workshops, 2018

Automated Rehabilitation Exercises Assessment in Wearable Sensor Data Streams.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Automatic Configuration of Kernel-Based Clustering: An Optimization Approach.

[BibT_eX]

[DOI]

Ilaria Giordani

Proceedings of the Learning and Intelligent Optimization - 11th International Conference, 2017

Supporting Resilience Management of Water Distribution Networks through Network Analysis and Hydraulic Simulation.

[BibT_eX]

[DOI]

Ilaria Giordani

Proceedings of the 21st International Conference on Control Systems and Computer Science, 2017

2015

Detecting Events and Sentiment on Twitter for Improving Urban Mobility.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on Emotion and Sentiment in Social and Expressive Media: Opportunities and Challenges for Emotion-aware Multiagent Systems co-located with 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), 2015

2011

A hyper-solution framework for classification problems via metaheuristic approaches.

[BibT_eX]

[DOI]

4OR, 2011

Functional Status and the Eye-tracking Response - A Data Mining Classification Study in the Vegetative and Minimaly Conscious States.

[BibT_eX]

Proceedings of the HEALTHINF 2011, 2011

2010

Data Mining and the Functional Relationship between Heart Rate Variability and Emotional Processing - Comparative Analyses, Validation and Application.

[BibT_eX]

F. Riganello