Antonio Candelieri
Orcid: 0000-0003-1431-576X
According to our database1,
Antonio Candelieri
authored at least 68 papers
between 1997 and 2024.
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Bibliography
2024
Fair and green hyperparameter optimization via multi-objective and multiple information source Bayesian optimization.
Mach. Learn., May, 2024
Towards Full Forward On-Tiny-Device Learning: A Guided Search for a Randomly Initialized Neural Network.
Algorithms, 2024
2023
On the use of Wasserstein distance in the distributional analysis of human decision making under uncertainty.
Ann. Math. Artif. Intell., June, 2023
J. Ambient Intell. Humaniz. Comput., 2023
J. Ambient Intell. Humaniz. Comput., 2023
J. Ambient Intell. Humaniz. Comput., 2023
The role of hyper-parameters in relational topic models: Prediction capabilities vs topic quality.
Inf. Sci., 2023
CoRR, 2023
CoRR, 2023
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023
A Leak Localization Algorithm in Water Distribution Networks Using Probabilistic Leak Representation and Optimal Transport Distance.
Proceedings of the Learning and Intelligent Optimization - 17th International Conference, 2023
Proceedings of the Learning and Intelligent Optimization - 17th International Conference, 2023
2022
Expert Syst. Appl., 2022
Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels.
CoRR, 2022
The "Unreasonable" Effectiveness of the Wasserstein Distance in Analyzing Key Performance Indicators of a Network of Stores.
Big Data Cogn. Comput., 2022
Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022
Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022
Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022
2021
Green machine learning via augmented Gaussian processes and multi-information source optimization.
Soft Comput., 2021
Sequential model based optimization of partially defined functions under unknown constraints.
J. Glob. Optim., 2021
A Wasserstein distance based multiobjective evolutionary algorithm for the risk aware optimization of sensor placement.
Intell. Syst. Appl., 2021
CoRR, 2021
CoRR, 2021
CoRR, 2021
Probabilistic measures of edge criticality in graphs: a study in water distribution networks.
Appl. Netw. Sci., 2021
Treed-Gaussian Processes with Support Vector Machines as Nodes For Nonstationary Bayesian Optimization.
Proceedings of the Winter Simulation Conference, 2021
Proceedings of the Winter Simulation Conference, 2021
Proceedings of the Machine Learning, Optimization, and Data Science, 2021
Optimal Sensor Placement by Distribution Based Multiobjective Evolutionary Optimization.
Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
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?
Proceedings of the Eighth Italian Conference on Computational Linguistics, 2021
Data efficient learning of implicit control strategies in Water Distribution Networks.
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.
Soft Comput., 2020
Resilience in urban networked infrastructure: the case of Water Distribution Systems.
CoRR, 2020
Comput. Manag. Sci., 2020
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
Composition of Kernel and Acquisition Functions for High Dimensional Bayesian Optimization.
Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020
Learning Optimal Control of Water Distribution Networks Through Sequential Model-Based Optimization.
Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020
Tuning Deep Neural Network's Hyperparameters Constrained to Deployability on Tiny Systems.
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.
Soft Comput., 2019
Efficient Kernel-Based Subsequence Search for Enabling Health Monitoring Services in IoT-Based Home Setting.
Sensors, 2019
Vulnerability of public transportation networks against directed attacks and cascading failures.
Public Transp., 2019
Efficient Kernel-based Subsequence Search for User Identification from Walking Activity.
CoRR, 2019
Tuning hyperparameters of a SVM-based water demand forecasting system through parallel global optimization.
Comput. Oper. Res., 2019
Proceedings of the Optimization of Complex Systems: Theory, 2019
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.
Proceedings of the Learning and Intelligent Optimization - 13th International Conference, 2019
2018
J. Glob. Optim., 2018
Stochastic Optimization for Feasibility determination: an Application to water pump Operation in water Distribution Network.
Proceedings of the 2018 Winter Simulation Conference, 2018
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.
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.
Proceedings of the Business Information Systems Workshops, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Proceedings of the Learning and Intelligent Optimization - 11th International Conference, 2017
Supporting Resilience Management of Water Distribution Networks through Network Analysis and Hydraulic Simulation.
Proceedings of the 21st International Conference on Control Systems and Computer Science, 2017
2015
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
4OR, 2011
Functional Status and the Eye-tracking Response - A Data Mining Classification Study in the Vegetative and Minimaly Conscious States.
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.
Proceedings of the HEALTHINF 2010, 2010
2009
Knowledge Discovery Approaches for Early Detection of Decompensation Conditions in Heart Failure Patients.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
2008
A Decision Support Resource as a Kernel of a Semantic Web Based Platform Oriented to Heart Failure.
Proceedings of the 2008 International Conference on Semantic Web & Web Services, 2008
Medical Knowledge Representation within Heartfaid Platform.
Proceedings of the First International Conference on Health Informatics, 2008
1997
J. Syst. Archit., 1997