Antonio Candelieri

Orcid: 0000-0003-1431-576X

According to our database1, Antonio Candelieri authored at least 68 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

Distributional learning in multi-objective optimization of recommender systems.
J. Ambient Intell. Humaniz. Comput., 2023

Wasserstein enabled Bayesian optimization of composite functions.
J. Ambient Intell. Humaniz. Comput., 2023

Uncertainty quantification and exploration-exploitation trade-off in humans.
J. Ambient Intell. Humaniz. Comput., 2023

The role of hyper-parameters in relational topic models: Prediction capabilities vs topic quality.
Inf. Sci., 2023

A Bayesian approach for prompt optimization in pre-trained language models.
CoRR, 2023

Mastering the exploration-exploitation trade-off in Bayesian Optimization.
CoRR, 2023

On the Generalization of Projection-Based Gender Debiasing in Word Embedding.
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

Generative Models via Optimal Transport and Gaussian Processes.
Proceedings of the Learning and Intelligent Optimization - 17th International Conference, 2023

2022
AutoTinyML for microcontrollers: Dealing with black-box deployability.
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

BORA: Bayesian Optimization for Resource Allocation.
CoRR, 2022

The "Unreasonable" Effectiveness of the Wasserstein Distance in Analyzing Key Performance Indicators of a Network of Stores.
Big Data Cogn. Comput., 2022

Explaining Exploration-Exploitation in Humans.
Big Data Cogn. Comput., 2022

Network Vulnerability Analysis in Wasserstein Spaces.
Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022

Bayesian Optimization in Wasserstein Spaces.
Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022

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

Gamifying optimization: a Wasserstein distance-based analysis of human search.
CoRR, 2021

Bayesian Optimization and Deep Learning forsteering wheel angle prediction.
CoRR, 2021

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

A Gentle Introduction to Bayesian Optimization.
Proceedings of the Winter Simulation Conference, 2021

Deep Autonomous Agents Comparison for Self-driving Cars.
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

Risk aware optimization of water sensor placement.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

OCTIS: Comparing and Optimizing Topic models is Simple!
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

Modelling human active search in optimizing black-box functions.
Soft Comput., 2020

Resilience in urban networked infrastructure: the case of Water Distribution Systems.
CoRR, 2020

Hyperparameter optimization for recommender systems through Bayesian optimization.
Comput. Manag. Sci., 2020

Optimal Scenario-Tree Selection for Multistage Stochastic Programming.
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

Bayesian Optimization for Recommender System.
Proceedings of the Optimization of Complex Systems: Theory, 2019

Are Humans Bayesian in the Optimization of Black-Box Functions?
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
Bayesian optimization of pump operations in water distribution systems.
J. Glob. Optim., 2018

Reachability-based safe learning for optimal control problem.
CoRR, 2018

Stochastic Optimization for Feasibility determination: an Application to water pump Operation in water Distribution Network.
Proceedings of the 2018 Winter Simulation Conference, 2018

Intelligent Pump Scheduling Optimization in Water Distribution Networks.
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

Automated Rehabilitation Exercises Assessment in Wearable Sensor Data Streams.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Automatic Configuration of Kernel-Based Clustering: An Optimization Approach.
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
Detecting Events and Sentiment on Twitter for Improving Urban Mobility.
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.
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
Massively parallel execution of logic programs: A static approach.
J. Syst. Archit., 1997


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