A survey on the global optimization problem: General theory and computational approaches. - Francesco Archetti; Fabio Schoen (Ann. Oper. Res., 1984)

Computation of the makespan in a transfer line with station breakdowns using stochastic petri nets. - Francesco Archetti; Enrico Fagiuoli; Anna Sciomachen (Comput. Oper. Res., 1987)

Petri net-based emulation for a highly concurrent pick-and-place machine. - Anna Sciomachen; Stephen J. Grotzinger; Francesco Archetti (IEEE Trans. Robotics Autom., 1990)

Optimal Control Policies for Automated Storage/Retrieval System Using P N Model and Stochastic Optimization. - Francesco Archetti; Anna Sciomachen; Alexei A. Gaivoronski (PNPM, 1991)

Sensitivity analysis and optimization of stochastic Petri nets. - Francesco Archetti; Alexei A. Gaivoronski; Anna Sciomachen (Discret. Event Dyn. Syst., 1993)

Foreground-to-Ghost Discrimination in Single-Difference Pre-processing. - Francesco Archetti; Cristina E. Manfredotti; Vincenzina Messina; Domenico G. Sorrenti (ACIVS, 2006)

Classifying and Counting Vehicles in Traffic Control Applications. - Francesco Archetti; Enza Messina; Daniele Toscani; Leonardo Vanneschi (EvoWorkshops, 2006)

A Hierarchical Document Clustering Environment Based on the Induced Bisecting k-Means. - Francesco Archetti; P. Campanelli; Elisabetta Fersini; Enza Messina (FQAS, 2006)

Genetic programming for human oral bioavailability of drugs. - Francesco Archetti; Stefano Lanzeni; Enza Messina; Leonardo Vanneschi (GECCO, 2006)

UP-DRES User Profiling for a Dynamic REcommendation System. - Enza Messina; Daniele Toscani; Francesco Archetti (ICDM, 2006)

Genetic Programming and Other Machine Learning Approaches to Predict Median Oral Lethal Dose (LD50) and Plasma Protein Binding Levels (%PPB) of Drugs. - Francesco Archetti; Stefano Lanzeni; Enza Messina; Leonardo Vanneschi (EvoBIO, 2007)

Towards metabolic networks phylogeny using Petri Net-based expansional analysis. - Stefano Lanzeni; Enza Messina; Francesco Archetti (BMC Syst. Biol., 2007)

Genetic programming for computational pharmacokinetics in drug discovery and development. - Francesco Archetti; Stefano Lanzeni; Enza Messina; Leonardo Vanneschi (Genet. Program. Evolvable Mach., 2007)

Audio-based Emotion Recognition for Advanced Automatic Retrieval in Judicial Domain. - Francesco Archetti; Gaia Arosio; Elisabetta Fersini; Enza Messina (ICT4Justice, 2008)

Granular modeling of web documents: impact on information retrieval systems. - Elisabetta Fersini; Enza Messina; Francesco Archetti (WIDM, 2008)

Graph models and mathematical programming in biochemical network analysis and metabolic engineering design. - Stefano Lanzeni; Enza Messina; Francesco Archetti (Comput. Math. Appl., 2008)

Enhancing web page classification through image-block importance analysis. - Elisabetta Fersini; Enza Messina; Francesco Archetti (Inf. Process. Manag., 2008)

Probabilistic Relational Models with Relational Uncertainty: An Early Study in Web Page Classification. - Elisabetta Fersini; Enza Messina; Francesco Archetti (Web Intelligence/IAT Workshops, 2009)

Multimedia Summarization in Law Courts: An Environment for Browsing and Consulting. - Elisabetta Fersini; Gaia Arosio; Enza Messina; Francesco Archetti; Daniele Toscani (ICT4Justice, 2009)

Audio-Based Emotion Recognition in Judicial Domain: A Multilayer Support Vector Machines Approach. - Elisabetta Fersini; Enza Messina; Gaia Arosio; Francesco Archetti (MLDM, 2009)

An integrated communications framework for context aware continuous monitoring with body sensor networks. - Francesco Chiti; Romano Fantacci; Francesco Archetti; Enza Messina; Daniele Toscani (IEEE J. Sel. Areas Commun., 2009)

Semantics and Machine Learning: A New Generation of Court Management Systems. - Elisabetta Fersini; Enza Messina; Francesco Archetti; Mauro Cislaghi (IC3K, 2010)

Semantics and Machine Learning for Building the Next Generation of Judicial Court Management Systems. - Elisabetta Fersini; Enza Messina; Daniele Toscani; Francesco Archetti; Mauro Cislaghi (KMIS, 2010)

Semantic High Level Querying in Sensor Networks. - Ilaria Giordani; Daniele Toscani; Francesco Archetti; Mauro Cislaghi (SSW, 2010)

A Software System for Data Integration and Decision Support for Evaluation of Air Pollution Health Impact. - Daniele Toscani; Federica Bargna; Luigi Quarenghi; Francesco Archetti; Ilaria Giordani (ICEIS (2), 2010)

Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders. - Elisabetta Fersini; Enza Messina; Francesco Archetti (ICDM, 2010)

Web Page Classification: A Probabilistic Model with Relational Uncertainty. - Elisabetta Fersini; Enza Messina; Francesco Archetti (IPMU, 2010)

Genetic programming for QSAR investigation of docking energy. - Francesco Archetti; Ilaria Giordani; Leonardo Vanneschi (Appl. Soft Comput., 2010)

Genetic programming for anticancer therapeutic response prediction using the NCI-60 dataset. - Francesco Archetti; Ilaria Giordani; Leonardo Vanneschi (Comput. Oper. Res., 2010)

IKNOS: inference and knowledge in networks of sensors. - Daniele Toscani; Francesco Archetti; Marco Frigerio; Enza Messina (Int. J. Sens. Networks, 2010)

A probabilistic relational approach for web document clustering. - Elisabetta Fersini; Enza Messina; Francesco Archetti (Inf. Process. Manag., 2010)

Combining Gene Expression Profiles and Drug Activity Patterns Analysis: A Relational Clustering Approach. - Elisabetta Fersini; Enza Messina; Francesco Archetti; Cristina E. Manfredotti (J. Math. Model. Algorithms, 2010)

A Mathematical Model for Optimal Functional Disruption of Biochemical Networks. - Guglielmo Lulli 001; Enza Messina; Francesco Archetti; Stefano Lanzeni (J. Math. Model. Algorithms, 2010)

Stochastic Simulation of the Coagulation Cascade: A Petri Net Based Approach. - Davide Castaldi; Daniele Maccagnola; Daniela Mari; Francesco Archetti (Euro-Par Workshops, 2012)

A stochastic Petri net model to simulate the intrinsic variability of tissue factor induced coagulation cascade. - Davide Castaldi; Francesco Archetti; Daniele Maccagnola; Daniela Mari (WSC, 2012)

A new clustering approach for learning transcriptional modules. - Francesco Archetti; Ilaria Giordani; Giancarlo Mauri; Enza Messina (Int. J. Data Min. Bioinform., 2012)

Emotional states in judicial courtrooms: An experimental investigation. - Elisabetta Fersini; Enza Messina; Francesco Archetti (Speech Commun., 2012)

An Efficient Implementation of Geometric Semantic Genetic Programming for Anticoagulation Level Prediction in Pharmacogenetics. - Mauro Castelli; Davide Castaldi; Ilaria Giordani; Sara Silva; Leonardo Vanneschi; Francesco Archetti; Daniele Maccagnola (EPIA, 2013)

Mining for Variability in the Coagulation Pathway: A Systems Biology Approach. - Davide Castaldi; Daniele Maccagnola; Daniela Mari; Francesco Archetti (EvoBIO, 2013)

An efficient implementation of geometric semantic genetic programming for anticoagulation level prediction in pharmacogenetics. - Mauro Castelli; Davide Castaldi; Leonardo Vanneschi; Ilaria Giordani; Francesco Archetti; Daniele Maccagnola (GECCO (Companion), 2013)

A reasoning approach for modelling and predicting terroristic attacks in urban environments. - Francesco Archetti; Divna Djordjevic; Ilaria Giordani; Raul Sormani; Francesco Tisato (ICCST, 2014)

A p-Median approach for predicting drug response in tumour cells. - Elisabetta Fersini; Enza Messina; Francesco Archetti (BMC Bioinform., 2014)

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)

Models and architectures for emergency management. - Ilaria Giordani; Francesco Archetti (J. Ambient Intell. Humaniz. Comput., 2017)

Criticality assessment of terrorism related events at different time scales. - Raul Sormani; Francesco Archetti; Ilaria Giordani (J. Ambient Intell. Humaniz. Comput., 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)

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

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

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)

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)

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)

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)

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)

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

The Unreasonable Effectiveness of Optimal Transport Distance in the Design of Multi-Objective Evolutionary Optimization Algorithms. - Andrea Ponti; Francesco Archetti (NUMTA (1), 2023)

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

A Bayesian Approach for Prompt Optimization in LLMs. - Antonio Sabbatella; Andrea Ponti; Ilaria Giordani; Francesco Archetti (LION, 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)