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Journal Articles
- 2024
[j37]Antonio Candelieri
, Andrea Ponti, Francesco Archetti:
Fair and green hyperparameter optimization via multi-objective and multiple information source Bayesian optimization. Mach. Learn. 113(5): 2701-2731 (2024)- 2023
- [j36]Antonio Candelieri, Andrea Ponti, Ilaria Giordani, Francesco Archetti:
On the use of Wasserstein distance in the distributional analysis of human decision making under uncertainty. Ann. Math. Artif. Intell. 91(2-3): 217-238 (2023) - [j35]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Uncertainty quantification and exploration-exploitation trade-off in humans. J. Ambient Intell. Humaniz. Comput. 14(6): 6843-6876 (2023) - [j34]Antonio Candelieri, Andrea Ponti, Ilaria Giordani, Anna Bosio, Francesco Archetti:
Distributional learning in multi-objective optimization of recommender systems. J. Ambient Intell. Humaniz. Comput. 14(8): 10849-10865 (2023) - [j33]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Wasserstein enabled Bayesian optimization of composite functions. J. Ambient Intell. Humaniz. Comput. 14(8): 11263-11271 (2023) - 2022
- [j32]Andrea Ponti, Ilaria Giordani, Matteo Mistri, Antonio Candelieri, Francesco Archetti:
The "Unreasonable" Effectiveness of the Wasserstein Distance in Analyzing Key Performance Indicators of a Network of Stores. Big Data Cogn. Comput. 6(4): 138 (2022) - [j31]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Explaining Exploration-Exploitation in Humans. Big Data Cogn. Comput. 6(4): 155 (2022) - [j30]Riccardo Perego, Antonio Candelieri, Francesco Archetti, Danilo Pau:
AutoTinyML for microcontrollers: Dealing with black-box deployability. Expert Syst. Appl. 207: 117876 (2022) - 2021
- [j29]Andrea Ponti, Antonio Candelieri, Ilaria Giordani, Francesco Archetti:
Probabilistic measures of edge criticality in graphs: a study in water distribution networks. Appl. Netw. Sci. 6(1): 81 (2021) - [j28]Andrea Ponti, Antonio Candelieri, Francesco Archetti:
A Wasserstein distance based multiobjective evolutionary algorithm for the risk aware optimization of sensor placement. Intell. Syst. Appl. 10-11: 200047 (2021) - [j27]Antonio Candelieri, Riccardo Perego, Francesco Archetti:
Green machine learning via augmented Gaussian processes and multi-information source optimization. Soft Comput. 25(19): 12591-12603 (2021) - 2020
- [j26]Bruno G. Galuzzi, Ilaria Giordani, Antonio Candelieri, Riccardo Perego, Francesco Archetti:
Hyperparameter optimization for recommender systems through Bayesian optimization. Comput. Manag. Sci. 17(4): 495-515 (2020) - [j25]Antonio Candelieri, Riccardo Perego, Ilaria Giordani, Andrea Ponti, Francesco Archetti:
Modelling human active search in optimizing black-box functions. Soft Comput. 24(23): 17771-17785 (2020) - 2019
- [j24]Antonio Candelieri, Ilaria Giordani, Francesco Archetti, Konstantin Barkalov, Iosif B. Meyerov, Alexey Polovinkin, Alexander Sysoyev, Nikolai Yu. Zolotykh:
Tuning hyperparameters of a SVM-based water demand forecasting system through parallel global optimization. Comput. Oper. Res. 106: 202-209 (2019) - [j23]Antonio Candelieri, Bruno G. Galuzzi, Ilaria Giordani, Francesco Archetti:
Vulnerability of public transportation networks against directed attacks and cascading failures. Public Transp. 11(1): 27-49 (2019) - [j22]Antonio Candelieri, Francesco Archetti:
Global optimization in machine learning: the design of a predictive analytics application. Soft Comput. 23(9): 2969-2977 (2019) - 2018
- [j21]Antonio Candelieri, Raffaele Perego, Francesco Archetti:
Bayesian optimization of pump operations in water distribution systems. J. Glob. Optim. 71(1): 213-235 (2018) - 2017
- [j20]Ilaria Giordani, Francesco Archetti:
Models and architectures for emergency management. J. Ambient Intell. Humaniz. Comput. 8(1): 1-8 (2017) - [j19]Raul Sormani, Francesco Archetti, Ilaria Giordani:
Criticality assessment of terrorism related events at different time scales. J. Ambient Intell. Humaniz. Comput. 8(1): 9-27 (2017) - 2014
- [j18]Elisabetta Fersini, Enza Messina, Francesco Archetti:
A p-Median approach for predicting drug response in tumour cells. BMC Bioinform. 15: 353 (2014) - 2012
- [j17]Francesco Archetti, Ilaria Giordani, Giancarlo Mauri, Enza Messina:
A new clustering approach for learning transcriptional modules. Int. J. Data Min. Bioinform. 6(3): 304-323 (2012) - [j16]Elisabetta Fersini, Enza Messina, Francesco Archetti:
Emotional states in judicial courtrooms: An experimental investigation. Speech Commun. 54(1): 11-22 (2012) - 2010
- [j15]Francesco Archetti, Ilaria Giordani, Leonardo Vanneschi:
Genetic programming for QSAR investigation of docking energy. Appl. Soft Comput. 10(1): 170-182 (2010) - [j14]Francesco Archetti, Ilaria Giordani, Leonardo Vanneschi:
Genetic programming for anticancer therapeutic response prediction using the NCI-60 dataset. Comput. Oper. Res. 37(8): 1395-1405 (2010) - [j13]Daniele Toscani, Francesco Archetti, Marco Frigerio, Enza Messina:
IKNOS: inference and knowledge in networks of sensors. Int. J. Sens. Networks 8(3/4): 209-221 (2010) - [j12]Elisabetta Fersini, Enza Messina, Francesco Archetti:
A probabilistic relational approach for web document clustering. Inf. Process. Manag. 46(2): 117-130 (2010) - [j11]Guglielmo Lulli, Enza Messina, Francesco Archetti, Stefano Lanzeni:
A Mathematical Model for Optimal Functional Disruption of Biochemical Networks. J. Math. Model. Algorithms 9(1): 19-37 (2010) - [j10]Elisabetta Fersini, Enza Messina, Francesco Archetti, Cristina E. Manfredotti:
Combining Gene Expression Profiles and Drug Activity Patterns Analysis: A Relational Clustering Approach. J. Math. Model. Algorithms 9(3): 275-289 (2010) - 2009
- [j9]Francesco Chiti, Romano Fantacci, Francesco Archetti, Enza Messina, Daniele Toscani:
An integrated communications framework for context aware continuous monitoring with body sensor networks. IEEE J. Sel. Areas Commun. 27(4): 379-386 (2009) - 2008
- [j8]Stefano Lanzeni, Enza Messina, Francesco Archetti:
Graph models and mathematical programming in biochemical network analysis and metabolic engineering design. Comput. Math. Appl. 55(5): 970-983 (2008) - [j7]Elisabetta Fersini, Enza Messina, Francesco Archetti:
Enhancing web page classification through image-block importance analysis. Inf. Process. Manag. 44(4): 1431-1447 (2008) - 2007
- [j6]Stefano Lanzeni, Enza Messina, Francesco Archetti:
Towards metabolic networks phylogeny using Petri Net-based expansional analysis. BMC Syst. Biol. 1(S-1): P17 (2007) - [j5]Francesco Archetti, Stefano Lanzeni, Enza Messina, Leonardo Vanneschi:
Genetic programming for computational pharmacokinetics in drug discovery and development. Genet. Program. Evolvable Mach. 8(4): 413-432 (2007) - 1993
- [j4]Francesco Archetti, Alexei A. Gaivoronski, Anna Sciomachen:
Sensitivity analysis and optimization of stochastic Petri nets. Discret. Event Dyn. Syst. 3(1): 5-37 (1993) - 1990
- [j3]Anna Sciomachen, Stephen J. Grotzinger, Francesco Archetti:
Petri net-based emulation for a highly concurrent pick-and-place machine. IEEE Trans. Robotics Autom. 6(2): 242-247 (1990) - 1987
- [j2]Francesco Archetti, Enrico Fagiuoli, Anna Sciomachen:
Computation of the makespan in a transfer line with station breakdowns using stochastic petri nets. Comput. Oper. Res. 14(5): 409-414 (1987) - 1984
- [j1]Francesco Archetti, Fabio Schoen:
A survey on the global optimization problem: General theory and computational approaches. Ann. Oper. Res. 1(2): 87-110 (1984)
Conference and Workshop Papers
- 2023
- [c46]Andrea Ponti, Ilaria Giordani, Antonio Candelieri, Francesco Archetti:
A Leak Localization Algorithm in Water Distribution Networks Using Probabilistic Leak Representation and Optimal Transport Distance. LION 2023: 31-45 - [c45]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Generative Models via Optimal Transport and Gaussian Processes. LION 2023: 135-149 - 2022
- [c44]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Safe-Exploration of Control Policies from Safe-Experience via Gaussian Processes. LION 2022: 232-247 - [c43]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Bayesian Optimization in Wasserstein Spaces. LION 2022: 248-262 - [c42]Andrea Ponti, Antonio Irpino, Antonio Candelieri, Anna Bosio, Ilaria Giordani, Francesco Archetti:
Network Vulnerability Analysis in Wasserstein Spaces. LION 2022: 263-277 - 2021
- [c41]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Data efficient learning of implicit control strategies in Water Distribution Networks. CASE 2021: 1812-1816 - [c40]Elisabetta Fersini, Luca Rosato, Antonio Candelieri, Francesco Archetti, Enza Messina:
Deep Learning Representations in Automatic Misogyny Identification: What Do We Gain and What Do We Miss? CLiC-it 2021 - [c39]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Risk aware optimization of water sensor placement. GECCO Companion 2021: 295-296 - [c38]Andrea Ponti, Antonio Candelieri, Francesco Archetti:
Optimal Sensor Placement by Distribution Based Multiobjective Evolutionary Optimization. LION 2021: 315-332 - 2020
- [c37]Riccardo Perego, Antonio Candelieri, Francesco Archetti, Danilo Pau:
Tuning Deep Neural Network's Hyperparameters Constrained to Deployability on Tiny Systems. ICANN (2) 2020: 92-103 - [c36]Antonio Candelieri, Bruno G. Galuzzi, Ilaria Giordani, Francesco Archetti:
Learning Optimal Control of Water Distribution Networks Through Sequential Model-Based Optimization. LION 2020: 303-315 - [c35]Antonio Candelieri, Ilaria Giordani, Riccardo Perego, Francesco Archetti:
Composition of Kernel and Acquisition Functions for High Dimensional Bayesian Optimization. LION 2020: 316-323 - [c34]Bruno G. Galuzzi, Enza Messina, Antonio Candelieri, Francesco Archetti:
Optimal Scenario-Tree Selection for Multistage Stochastic Programming. LOD (1) 2020: 335-346 - 2019
- [c33]Antonio Candelieri, Bruno G. Galuzzi, Ilaria Giordani, Riccardo Perego, Francesco Archetti:
Optimizing Partially Defined Black-Box Functions Under Unknown Constraints via Sequential Model Based Optimization: An Application to Pump Scheduling Optimization in Water Distribution Networks. LION 2019: 77-93 - [c32]Antonio Candelieri, Riccardo Perego, Ilaria Giordani, Francesco Archetti:
Are Humans Bayesian in the Optimization of Black-Box Functions? NUMTA (2) 2019: 32-42 - [c31]Bruno Giovanni Galuzzi, Ilaria Giordani, Antonio Candelieri, Riccardo Perego, Francesco Archetti:
Bayesian Optimization for Recommender System. WCGO 2019: 751-760 - 2018
- [c30]Antonio Candelieri, Wenbin Zhang, Enza Messina, Francesco Archetti:
Automated Rehabilitation Exercises Assessment in Wearable Sensor Data Streams. IEEE BigData 2018: 5302-5304 - [c29]Antonio Candelieri, Bruno G. Galuzzi, Ilaria Giordani, Riccardo Perego, Francesco Archetti:
Business Information Systems for the Cost/Energy Management of Water Distribution Networks: A Critical Appraisal of Alternative Optimization Strategies. BIS (Workshops) 2018: 3-13 - [c28]Antonio Candelieri, Riccardo Perego, Francesco Archetti:
Intelligent Pump Scheduling Optimization in Water Distribution Networks. LION 2018: 352-369 - 2017
- [c27]Antonio Candelieri, Ilaria Giordani, Francesco Archetti:
Supporting Resilience Management of Water Distribution Networks through Network Analysis and Hydraulic Simulation. CSCS 2017: 599-605 - [c26]Antonio Candelieri, Ilaria Giordani, Francesco Archetti:
Automatic Configuration of Kernel-Based Clustering: An Optimization Approach. LION 2017: 34-49 - 2015
- [c25]Antonio Candelieri, Francesco Archetti:
Detecting Events and Sentiment on Twitter for Improving Urban Mobility. ESSEM@AAMAS 2015: 106-115 - 2014
- [c24]Francesco Archetti, Divna Djordjevic, Ilaria Giordani, Raul Sormani, Francesco Tisato:
A reasoning approach for modelling and predicting terroristic attacks in urban environments. ICCST 2014: 1-6 - 2013
- [c23]Mauro Castelli, Davide Castaldi, Ilaria Giordani, Sara Silva, Leonardo Vanneschi, Francesco Archetti, Daniele Maccagnola:
An Efficient Implementation of Geometric Semantic Genetic Programming for Anticoagulation Level Prediction in Pharmacogenetics. EPIA 2013: 78-89 - [c22]Davide Castaldi, Daniele Maccagnola, Daniela Mari, Francesco Archetti:
Mining for Variability in the Coagulation Pathway: A Systems Biology Approach. EvoBIO 2013: 153-164 - [c21]Mauro Castelli, Davide Castaldi, Leonardo Vanneschi, Ilaria Giordani, Francesco Archetti, Daniele Maccagnola:
An efficient implementation of geometric semantic genetic programming for anticoagulation level prediction in pharmacogenetics. GECCO (Companion) 2013: 137-138 - 2012
- [c20]Davide Castaldi, Daniele Maccagnola, Daniela Mari, Francesco Archetti:
Stochastic Simulation of the Coagulation Cascade: A Petri Net Based Approach. Euro-Par Workshops 2012: 248-262 - [c19]Davide Castaldi, Francesco Archetti, Daniele Maccagnola, Daniela Mari:
A stochastic Petri net model to simulate the intrinsic variability of tissue factor induced coagulation cascade. WSC 2012: 363:1-363:2 - 2010
- [c18]Elisabetta Fersini, Enza Messina, Daniele Toscani, Francesco Archetti, Mauro Cislaghi:
Semantics and Machine Learning for Building the Next Generation of Judicial Court Management Systems. KMIS 2010: 51-60 - [c17]Ilaria Giordani, Daniele Toscani, Francesco Archetti, Mauro Cislaghi:
Semantic High Level Querying in Sensor Networks. SSW 2010: 72-84 - [c16]Elisabetta Fersini, Enza Messina, Francesco Archetti, Mauro Cislaghi:
Semantics and Machine Learning: A New Generation of Court Management Systems. IC3K 2010: 382-398 - [c15]Daniele Toscani, Federica Bargna, Luigi Quarenghi, Francesco Archetti, Ilaria Giordani:
A Software System for Data Integration and Decision Support for Evaluation of Air Pollution Health Impact. ICEIS (2) 2010: 284-290 - [c14]Elisabetta Fersini, Enza Messina, Francesco Archetti:
Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders. ICDM 2010: 237-247 - [c13]Elisabetta Fersini, Enza Messina, Francesco Archetti:
Web Page Classification: A Probabilistic Model with Relational Uncertainty. IPMU 2010: 109-118 - 2009
- [c12]Elisabetta Fersini, Enza Messina, Francesco Archetti:
Probabilistic Relational Models with Relational Uncertainty: An Early Study in Web Page Classification. Web Intelligence/IAT Workshops 2009: 139-142 - [c11]Elisabetta Fersini, Gaia Arosio, Enza Messina, Francesco Archetti, Daniele Toscani:
Multimedia Summarization in Law Courts: An Environment for Browsing and Consulting. ICT4Justice 2009: 73-80 - [c10]Elisabetta Fersini, Enza Messina, Gaia Arosio, Francesco Archetti:
Audio-Based Emotion Recognition in Judicial Domain: A Multilayer Support Vector Machines Approach. MLDM 2009: 594-602 - 2008
- [c9]Francesco Archetti, Gaia Arosio, Elisabetta Fersini, Enza Messina:
Audio-based Emotion Recognition for Advanced Automatic Retrieval in Judicial Domain. ICT4Justice 2008 - [c8]Elisabetta Fersini, Enza Messina, Francesco Archetti:
Granular modeling of web documents: impact on information retrieval systems. WIDM 2008: 111-118 - 2007
- [c7]Francesco Archetti, Stefano Lanzeni, Enza Messina, Leonardo Vanneschi:
Genetic Programming and Other Machine Learning Approaches to Predict Median Oral Lethal Dose (LD50) and Plasma Protein Binding Levels (%PPB) of Drugs. EvoBIO 2007: 11-23 - 2006
- [c6]Francesco Archetti, Cristina E. Manfredotti, Vincenzina Messina, Domenico G. Sorrenti:
Foreground-to-Ghost Discrimination in Single-Difference Pre-processing. ACIVS 2006: 263-274 - [c5]Francesco Archetti, Enza Messina, Daniele Toscani, Leonardo Vanneschi:
Classifying and Counting Vehicles in Traffic Control Applications. EvoWorkshops 2006: 495-499 - [c4]Francesco Archetti, P. Campanelli, Elisabetta Fersini, Enza Messina:
A Hierarchical Document Clustering Environment Based on the Induced Bisecting k-Means. FQAS 2006: 257-269 - [c3]Francesco Archetti, Stefano Lanzeni, Enza Messina, Leonardo Vanneschi:
Genetic programming for human oral bioavailability of drugs. GECCO 2006: 255-262 - [c2]Enza Messina, Daniele Toscani, Francesco Archetti:
UP-DRES User Profiling for a Dynamic REcommendation System. ICDM 2006: 146-160 - 1991
- [c1]Francesco Archetti, Anna Sciomachen, Alexei A. Gaivoronski:
Optimal Control Policies for Automated Storage/Retrieval System Using P N Model and Stochastic Optimization. PNPM 1991: 258-267
Editorship
- 2022
- [e1]Dimitris E. Simos, Varvara Rasskazova, Francesco Archetti, Ilias S. Kotsireas, Panos M. Pardalos:
Learning and Intelligent Optimization - 16th International Conference, LION 2022, Milos Island, Greece, June 5-10, 2022, Revised Selected Papers. Lecture Notes in Computer Science 13621, Springer 2022, ISBN 978-3-031-24865-8 [contents]
Informal and Other Publications
- 2023
- [i13]Antonio Sabbatella, Andrea Ponti, Antonio Candelieri, Ilaria Giordani, Francesco Archetti:
A Bayesian approach for prompt optimization in pre-trained language models. CoRR abs/2312.00471 (2023) - 2022
- [i12]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization. CoRR abs/2205.08835 (2022) - [i11]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
BORA: Bayesian Optimization for Resource Allocation. CoRR abs/2210.05977 (2022) - [i10]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels. CoRR abs/2212.01310 (2022) - 2021
- [i9]Antonio Candelieri, Francesco Archetti:
MISO-wiLDCosts: Multi Information Source Optimization with Location Dependent Costs. CoRR abs/2102.04951 (2021) - [i8]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Uncertainty quantification and exploration-exploitation trade-off in humans. CoRR abs/2102.07647 (2021) - [i7]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Risk Aware Optimization of Water Sensor Placement. CoRR abs/2103.04862 (2021) - [i6]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Gamifying optimization: a Wasserstein distance-based analysis of human search. CoRR abs/2112.06292 (2021) - 2020
- [i5]Antonio Candelieri, Ilaria Giordani, Riccardo Perego, Francesco Archetti:
Composition of kernel and acquisition functions for High Dimensional Bayesian Optimization. CoRR abs/2003.04207 (2020) - [i4]Antonio Candelieri, Bruno G. Galuzzi, Ilaria Giordani, Francesco Archetti:
Learning Optimal Control of Water Distribution Networks through Sequential Model-based Optimization. CoRR abs/2003.04268 (2020) - [i3]Antonio Candelieri, Riccardo Perego, Ilaria Giordani, Andrea Ponti, Francesco Archetti:
Modelling Human Active Search in Optimizing Black-box Functions. CoRR abs/2003.04275 (2020) - [i2]Antonio Candelieri, Riccardo Perego, Francesco Archetti:
Green Machine Learning via Augmented Gaussian Processes and Multi-Information Source Optimization. CoRR abs/2006.14233 (2020) - [i1]Antonio Candelieri, Ilaria Giordani, Andrea Ponti, Francesco Archetti:
Resilience in urban networked infrastructure: the case of Water Distribution Systems. CoRR abs/2006.14622 (2020)
Coauthor Index
[j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
Enza Messina
aka: Vincenzina Messina
aka: Vincenzina Messina
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