Massively parallel execution of logic programs: A static approach. - Fabrizio Baiardi; Antonio Candelieri; Laura Ricci (J. Syst. Archit., 1997)

Medical Knowledge Representation within Heartfaid Platform. - Dragan Gamberger; Marin Prcela; Alan Jovic; Tomislav Smuc; Gianfranco Parati; Mariaconsuelo Valentini; Kalina Kawecka-Jaszcz; Katarzyna Styczkiewicz; Andrzej A. Kononowicz; Antonio Candelieri; Domenico Conforti; Rosita Guido (HEALTHINF (1), 2008)

A Decision Support Resource as a Kernel of a Semantic Web Based Platform Oriented to Heart Failure. - Sara Colantonio; Massimo Martinelli; Davide Moroni; Ovidio Salvetti; Antonio Candelieri; Domenico Conforti; Francesco Perticone; Angela Sciacqua; Christos Biniaris; Andy Marsh (SWWS, 2008)

Knowledge Discovery Approaches for Early Detection of Decompensation Conditions in Heart Failure Patients. - Antonio Candelieri; Domenico Conforti; Angela Sciacqua; Francesco Perticone (ISDA, 2009)

Data Mining and the Functional Relationship between Heart Rate Variability and Emotional Processing - Comparative Analyses, Validation and Application. - F. Riganello; Antonio Candelieri (HEALTHINF, 2010)

Functional Status and the Eye-tracking Response - A Data Mining Classification Study in the Vegetative and Minimaly Conscious States. - Antonio Candelieri; F. Riganello; D. Cortese; W. G. Sannita (HEALTHINF, 2011)

A hyper-solution framework for classification problems via metaheuristic approaches. - Antonio Candelieri (4OR, 2011)

Detecting Events and Sentiment on Twitter for Improving Urban Mobility. - Antonio Candelieri; Francesco Archetti (ESSEM@AAMAS, 2015)

Supporting Resilience Management of Water Distribution Networks through Network Analysis and Hydraulic Simulation. - Antonio Candelieri; Ilaria Giordani; Francesco Archetti (CSCS, 2017)

Automatic Configuration of Kernel-Based Clustering: An Optimization Approach. - Antonio Candelieri; Ilaria Giordani; Francesco Archetti (LION, 2017)

Automated Rehabilitation Exercises Assessment in Wearable Sensor Data Streams. - Antonio Candelieri; Wenbin Zhang 002; Enza Messina; Francesco Archetti (IEEE BigData, 2018)

Business Information Systems for the Cost/Energy Management of Water Distribution Networks: A Critical Appraisal of Alternative Optimization Strategies. - Antonio Candelieri; Bruno G. Galuzzi; Ilaria Giordani; Riccardo Perego; Francesco Archetti (BIS (Workshops), 2018)

A Multiple-Layer Clustering Method for Real-Time Decision Support in a Water Distribution System. - Alexandru Predescu; Catalin Negru; Mariana Mocanu; Ciprian Lupu; Antonio Candelieri (BIS (Workshops), 2018)

Intelligent Pump Scheduling Optimization in Water Distribution Networks. - Antonio Candelieri; Riccardo Perego; Francesco Archetti (LION, 2018)

Stochastic Optimization for Feasibility determination: an Application to water pump Operation in water Distribution Network. - Yi-An Tsai; Giulia Pedrielli; Logan Mathesen; Zelda B. Zabinsky; Hao Huang 012; Antonio Candelieri; Riccardo Perego (WSC, 2018)

Reachability-based safe learning for optimal control problem. - Stanislav Fedorov; Antonio Candelieri (CoRR, 2018)

Bayesian optimization of pump operations in water distribution systems. - Antonio Candelieri; Raffaele Perego 002; Francesco Archetti (J. Glob. Optim., 2018)

Optimizing Partially Defined Black-Box Functions Under Unknown Constraints via Sequential Model Based Optimization: An Application to Pump Scheduling Optimization in Water Distribution Networks. - Antonio Candelieri; Bruno G. Galuzzi; Ilaria Giordani; Riccardo Perego; Francesco Archetti (LION, 2019)

Are Humans Bayesian in the Optimization of Black-Box Functions? - Antonio Candelieri; Riccardo Perego; Ilaria Giordani; Francesco Archetti (NUMTA (2), 2019)

Bayesian Optimization for Recommender System. - Bruno Giovanni Galuzzi; Ilaria Giordani; Antonio Candelieri; Riccardo Perego; Francesco Archetti (WCGO, 2019)

Tuning hyperparameters of a SVM-based water demand forecasting system through parallel global optimization. - Antonio Candelieri; Ilaria Giordani; Francesco Archetti; Konstantin Barkalov; Iosif B. Meyerov; Alexey Polovinkin; Alexander Sysoyev; Nikolai Yu. Zolotykh (Comput. Oper. Res., 2019)

Efficient Kernel-based Subsequence Search for User Identification from Walking Activity. - Antonio Candelieri; Stanislav Fedorov; Vincenzina Messina (CoRR, 2019)

Vulnerability of public transportation networks against directed attacks and cascading failures. - Antonio Candelieri; Bruno G. Galuzzi; Ilaria Giordani; Francesco Archetti (Public Transp., 2019)

Efficient Kernel-Based Subsequence Search for Enabling Health Monitoring Services in IoT-Based Home Setting. - Antonio Candelieri; Stanislav Fedorov; Enza Messina (Sensors, 2019)

Global optimization in machine learning: the design of a predictive analytics application. - Antonio Candelieri; Francesco Archetti (Soft Comput., 2019)

Tuning Deep Neural Network's Hyperparameters Constrained to Deployability on Tiny Systems. - Riccardo Perego; Antonio Candelieri; Francesco Archetti; Danilo Pau (ICANN (2), 2020)

Learning Optimal Control of Water Distribution Networks Through Sequential Model-Based Optimization. - Antonio Candelieri; Bruno G. Galuzzi; Ilaria Giordani; Francesco Archetti (LION, 2020)

Composition of Kernel and Acquisition Functions for High Dimensional Bayesian Optimization. - Antonio Candelieri; Ilaria Giordani; Riccardo Perego; Francesco Archetti (LION, 2020)

Optimal Scenario-Tree Selection for Multistage Stochastic Programming. - Bruno G. Galuzzi; Enza Messina; Antonio Candelieri; Francesco Archetti (LOD (1), 2020)

Hyperparameter optimization for recommender systems through Bayesian optimization. - Bruno G. Galuzzi; Ilaria Giordani; Antonio Candelieri; Riccardo Perego; Francesco Archetti (Comput. Manag. Sci., 2020)

Resilience in urban networked infrastructure: the case of Water Distribution Systems. - Antonio Candelieri; Ilaria Giordani; Andrea Ponti; Francesco Archetti (CoRR, 2020)

Modelling human active search in optimizing black-box functions. - Antonio Candelieri; Riccardo Perego; Ilaria Giordani; Andrea Ponti; Francesco Archetti (Soft Comput., 2020)

Safe global optimization of expensive noisy black-box functions in the δ-Lipschitz framework. - Yaroslav D. Sergeyev; Antonio Candelieri; Dmitri E. Kvasov; Riccardo Perego (Soft Comput., 2020)

Data efficient learning of implicit control strategies in Water Distribution Networks. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (CASE, 2021)

Deep Learning Representations in Automatic Misogyny Identification: What Do We Gain and What Do We Miss? - Elisabetta Fersini; Luca Rosato; Antonio Candelieri; Francesco Archetti; Enza Messina (CLiC-it, 2021)

OCTIS: Comparing and Optimizing Topic models is Simple! - Silvia Terragni; Elisabetta Fersini; Bruno Giovanni Galuzzi; Pietro Tropeano; Antonio Candelieri (EACL (System Demonstrations), 2021)

Risk aware optimization of water sensor placement. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (GECCO Companion, 2021)

Optimal Sensor Placement by Distribution Based Multiobjective Evolutionary Optimization. - Andrea Ponti; Antonio Candelieri; Francesco Archetti (LION, 2021)

Deep Autonomous Agents Comparison for Self-driving Cars. - Alessandro Riboni; Antonio Candelieri; Matteo Borrotti (LOD, 2021)

A Gentle Introduction to Bayesian Optimization. - Antonio Candelieri (WSC, 2021)

Treed-Gaussian Processes with Support Vector Machines as Nodes For Nonstationary Bayesian Optimization. - Antonio Candelieri; Giulia Pedrielli (WSC, 2021)

Probabilistic measures of edge criticality in graphs: a study in water distribution networks. - Andrea Ponti; Antonio Candelieri; Ilaria Giordani; Francesco Archetti (Appl. Netw. Sci., 2021)

MISO-wiLDCosts: Multi Information Source Optimization with Location Dependent Costs. - Antonio Candelieri; Francesco Archetti (CoRR, 2021)

Bayesian Optimization and Deep Learning forsteering wheel angle prediction. - Alessandro Riboni; Nicolò Ghioldi; Antonio Candelieri; Matteo Borrotti (CoRR, 2021)

Gamifying optimization: a Wasserstein distance-based analysis of human search. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (CoRR, 2021)

A Wasserstein distance based multiobjective evolutionary algorithm for the risk aware optimization of sensor placement. - Andrea Ponti; Antonio Candelieri; Francesco Archetti (Intell. Syst. Appl., 2021)

Sequential model based optimization of partially defined functions under unknown constraints. - Antonio Candelieri (J. Glob. Optim., 2021)

Green machine learning via augmented Gaussian processes and multi-information source optimization. - Antonio Candelieri; Riccardo Perego; Francesco Archetti (Soft Comput., 2021)

Safe-Exploration of Control Policies from Safe-Experience via Gaussian Processes. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (LION, 2022)

Bayesian Optimization in Wasserstein Spaces. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (LION, 2022)

Network Vulnerability Analysis in Wasserstein Spaces. - Andrea Ponti; Antonio Irpino; Antonio Candelieri; Anna Bosio; Ilaria Giordani; Francesco Archetti (LION, 2022)

Explaining Exploration-Exploitation in Humans. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (Big Data Cogn. Comput., 2022)

The "Unreasonable" Effectiveness of the Wasserstein Distance in Analyzing Key Performance Indicators of a Network of Stores. - Andrea Ponti; Ilaria Giordani; Matteo Mistri; Antonio Candelieri; Francesco Archetti (Big Data Cogn. Comput., 2022)

BORA: Bayesian Optimization for Resource Allocation. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (CoRR, 2022)

AutoTinyML for microcontrollers: Dealing with black-box deployability. - Riccardo Perego; Antonio Candelieri; Francesco Archetti; Danilo Pau (Expert Syst. Appl., 2022)

Generative Models via Optimal Transport and Gaussian Processes. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (LION, 2023)

A Leak Localization Algorithm in Water Distribution Networks Using Probabilistic Leak Representation and Optimal Transport Distance. - Andrea Ponti; Ilaria Giordani; Antonio Candelieri; Francesco Archetti (LION, 2023)

Resource Allocation via Bayesian Optimization: an Efficient Alternative to Semi-Bandit Feedback. - Antonio Candelieri (NUMTA (1), 2023)

Multi-Objective and Multiple Information Source Optimization for Fair & Green Machine Learning. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (NUMTA (1), 2023)

On the Generalization of Projection-Based Gender Debiasing in Word Embedding. - Elisabetta Fersini; Antonio Candelieri; Lorenzo Pastore (RANLP, 2023)

Mastering the exploration-exploitation trade-off in Bayesian Optimization. - Antonio Candelieri (CoRR, 2023)

A Bayesian approach for prompt optimization in pre-trained language models. - Antonio Sabbatella; Andrea Ponti; Antonio Candelieri; Ilaria Giordani; Francesco Archetti (CoRR, 2023)

The role of hyper-parameters in relational topic models: Prediction capabilities vs topic quality. - Silvia Terragni; Antonio Candelieri; Elisabetta Fersini (Inf. Sci., 2023)

Uncertainty quantification and exploration-exploitation trade-off in humans. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (J. Ambient Intell. Humaniz. Comput., 2023)

Wasserstein enabled Bayesian optimization of composite functions. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (J. Ambient Intell. Humaniz. Comput., 2023)

Distributional learning in multi-objective optimization of recommender systems. - Antonio Candelieri; Andrea Ponti; Ilaria Giordani; Anna Bosio; Francesco Archetti (J. Ambient Intell. Humaniz. Comput., 2023)

On the use of Wasserstein distance in the distributional analysis of human decision making under uncertainty. - Antonio Candelieri; Andrea Ponti; Ilaria Giordani; Francesco Archetti (Ann. Math. Artif. Intell., 2023)

A Constrained-JKO Scheme for Effective and Efficient Wasserstein Gradient Flows. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (LION, 2024)

MLE-Free Gaussian Process Based Bayesian Optimization. - Antonio Candelieri; Elena Signori (LION, 2024)

Towards Full Forward On-Tiny-Device Learning: A Guided Search for a Randomly Initialized Neural Network. - Danilo Pau; Andrea Pisani; Antonio Candelieri (Algorithms, 2024)

Bayesian Optimization Using Simulation-Based Multiple Information Sources over Combinatorial Structures. - Antonio Sabbatella; Andrea Ponti; Antonio Candelieri; Francesco Archetti (Mach. Learn. Knowl. Extr., 2024)

Fair and green hyperparameter optimization via multi-objective and multiple information source Bayesian optimization. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (Mach. Learn., 2024)

Bayesian optimization over the probability simplex. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (Ann. Math. Artif. Intell., 2025)

Wasserstein Barycenter Gaussian Process based Bayesian Optimization. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (CoRR, 2025)

Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels. - Antonio Candelieri; Andrea Ponti; Francesco Archetti (J. Glob. Optim., 2025)