Francesco Archetti

According to our database1, Francesco Archetti authored at least 74 papers between 1984 and 2022.

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



In proceedings 
PhD thesis 


Online presence:



Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization.
CoRR, 2022

Green machine learning via augmented Gaussian processes and multi-information source optimization.
Soft Comput., 2021

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

Uncertainty quantification and exploration-exploitation trade-off in humans.
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

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

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

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

Global optimization in machine learning: the design of a predictive analytics application.
Soft Comput., 2019

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

Bayesian optimization of pump operations in water distribution systems.
J. Glob. Optim., 2018

Intelligent Pump Scheduling Optimization in Water Distribution Networks.
Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 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

Criticality assessment of terrorism related events at different time scales.
J. Ambient Intell. Humaniz. Comput., 2017

Models and architectures for emergency management.
J. Ambient Intell. Humaniz. Comput., 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

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

A p-Median approach for predicting drug response in tumour cells.
BMC Bioinform., 2014

A reasoning approach for modelling and predicting terroristic attacks in urban environments.
Proceedings of the International Carnahan Conference on Security Technology, 2014

An efficient implementation of geometric semantic genetic programming for anticoagulation level prediction in pharmacogenetics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Mining for Variability in the Coagulation Pathway: A Systems Biology Approach.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2013

An Efficient Implementation of Geometric Semantic Genetic Programming for Anticoagulation Level Prediction in Pharmacogenetics.
Proceedings of the Progress in Artificial Intelligence, 2013

Emotional states in judicial courtrooms: An experimental investigation.
Speech Commun., 2012

A new clustering approach for learning transcriptional modules.
Int. J. Data Min. Bioinform., 2012

A stochastic Petri net model to simulate the intrinsic variability of tissue factor induced coagulation cascade.
Proceedings of the Winter Simulation Conference, 2012

Stochastic Simulation of the Coagulation Cascade: A Petri Net Based Approach.
Proceedings of the Euro-Par 2012: Parallel Processing Workshops, 2012

A Mathematical Model for Optimal Functional Disruption of Biochemical Networks.
J. Math. Model. Algorithms, 2010

Combining Gene Expression Profiles and Drug Activity Patterns Analysis: A Relational Clustering Approach.
J. Math. Model. Algorithms, 2010

A probabilistic relational approach for web document clustering.
Inf. Process. Manag., 2010

IKNOS: inference and knowledge in networks of sensors.
Int. J. Sens. Networks, 2010

Genetic programming for anticancer therapeutic response prediction using the NCI-60 dataset.
Comput. Oper. Res., 2010

Genetic programming for QSAR investigation of docking energy.
Appl. Soft Comput., 2010

Web Page Classification: A Probabilistic Model with Relational Uncertainty.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

A Software System for Data Integration and Decision Support for Evaluation of Air Pollution Health Impact.
Proceedings of the ICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems, Volume 2, AIDSS, Funchal, Madeira, Portugal, June 8, 2010

Semantic High Level Querying in Sensor Networks.
Proceedings of the SSW 2010, 2010

Semantics and Machine Learning for Building the Next Generation of Judicial Court Management Systems.
Proceedings of the KMIS 2010, 2010

Semantics and Machine Learning: A New Generation of Court Management Systems.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2010

An integrated communications framework for context aware continuous monitoring with body sensor networks.
IEEE J. Sel. Areas Commun., 2009

Audio-Based Emotion Recognition in Judicial Domain: A Multilayer Support Vector Machines Approach.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

Multimedia Summarization in Law Courts: An Environment for Browsing and Consulting.
Proceedings of the 2<sup>nd</sup> International Conference on ICT Solutions for Justice, 2009

Probabilistic Relational Models with Relational Uncertainty: An Early Study in Web Page Classification.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2009

Enhancing web page classification through image-block importance analysis.
Inf. Process. Manag., 2008

Graph models and mathematical programming in biochemical network analysis and metabolic engineering design.
Comput. Math. Appl., 2008

Granular modeling of web documents: impact on information retrieval systems.
Proceedings of the 10th ACM International Workshop on Web Information and Data Management (WIDM 2008), 2008

Audio-based Emotion Recognition for Advanced Automatic Retrieval in Judicial Domain.
Proceedings of the 1<sup>st</sup> International Conference on ICT Solutions for Justice, 2008

Genetic programming for computational pharmacokinetics in drug discovery and development.
Genet. Program. Evolvable Mach., 2007

Towards metabolic networks phylogeny using Petri Net-based expansional analysis.
BMC Syst. Biol., 2007

Genetic Programming and Other Machine Learning Approaches to Predict Median Oral Lethal Dose (LD<sub>50</sub>) and Plasma Protein Binding Levels (%PPB) of Drugs.
Proceedings of the Evolutionary Computation, 2007

UP-DRES User Profiling for a Dynamic REcommendation System.
Proceedings of the Advances in Data Mining, 2006

Genetic programming for human oral bioavailability of drugs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

A Hierarchical Document Clustering Environment Based on the Induced Bisecting k-Means.
Proceedings of the Flexible Query Answering Systems, 7th International Conference, 2006

Classifying and Counting Vehicles in Traffic Control Applications.
Proceedings of the Applications of Evolutionary Computing, 2006

Foreground-to-Ghost Discrimination in Single-Difference Pre-processing.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2006

Sensitivity analysis and optimization of stochastic Petri nets.
Discret. Event Dyn. Syst., 1993

Optimal Control Policies for Automated Storage/Retrieval System Using P N Model and Stochastic Optimization.
Proceedings of the Fourth International Workshop on Petri Nets and Performance Models, 1991

Petri net-based emulation for a highly concurrent pick-and-place machine.
IEEE Trans. Robotics Autom., 1990

Computation of the makespan in a transfer line with station breakdowns using stochastic petri nets.
Comput. Oper. Res., 1987

A survey on the global optimization problem: General theory and computational approaches.
Ann. Oper. Res., 1984