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Antonio Candelieri
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2020 – today
- 2024
- [j24]Danilo Pau, Andrea Pisani, Antonio Candelieri:
Towards Full Forward On-Tiny-Device Learning: A Guided Search for a Randomly Initialized Neural Network. Algorithms 17(1): 22 (2024) - [j23]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
- [j22]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) - [j21]Silvia Terragni, Antonio Candelieri, Elisabetta Fersini:
The role of hyper-parameters in relational topic models: Prediction capabilities vs topic quality. Inf. Sci. 632: 252-268 (2023) - [j20]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) - [j19]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) - [j18]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Wasserstein enabled Bayesian optimization of composite functions. J. Ambient Intell. Humaniz. Comput. 14(8): 11263-11271 (2023) - [c34]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 - [c33]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Generative Models via Optimal Transport and Gaussian Processes. LION 2023: 135-149 - [c32]Elisabetta Fersini, Antonio Candelieri, Lorenzo Pastore:
On the Generalization of Projection-Based Gender Debiasing in Word Embedding. RANLP 2023: 336-343 - [i18]Antonio Candelieri:
Mastering the exploration-exploitation trade-off in Bayesian Optimization. CoRR abs/2305.08624 (2023) - [i17]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
- [j17]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) - [j16]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Explaining Exploration-Exploitation in Humans. Big Data Cogn. Comput. 6(4): 155 (2022) - [j15]Riccardo Perego, Antonio Candelieri, Francesco Archetti, Danilo Pau:
AutoTinyML for microcontrollers: Dealing with black-box deployability. Expert Syst. Appl. 207: 117876 (2022) - [c31]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Safe-Exploration of Control Policies from Safe-Experience via Gaussian Processes. LION 2022: 232-247 - [c30]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Bayesian Optimization in Wasserstein Spaces. LION 2022: 248-262 - [c29]Andrea Ponti, Antonio Irpino, Antonio Candelieri, Anna Bosio, Ilaria Giordani, Francesco Archetti:
Network Vulnerability Analysis in Wasserstein Spaces. LION 2022: 263-277 - [i16]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) - [i15]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
BORA: Bayesian Optimization for Resource Allocation. CoRR abs/2210.05977 (2022) - [i14]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
- [j14]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) - [j13]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) - [j12]Antonio Candelieri:
Sequential model based optimization of partially defined functions under unknown constraints. J. Glob. Optim. 79(2): 281-303 (2021) - [j11]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) - [c28]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Data efficient learning of implicit control strategies in Water Distribution Networks. CASE 2021: 1812-1816 - [c27]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 - [c26]Silvia Terragni, Elisabetta Fersini, Bruno Giovanni Galuzzi, Pietro Tropeano, Antonio Candelieri:
OCTIS: Comparing and Optimizing Topic models is Simple! EACL (System Demonstrations) 2021: 263-270 - [c25]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Risk aware optimization of water sensor placement. GECCO Companion 2021: 295-296 - [c24]Andrea Ponti, Antonio Candelieri, Francesco Archetti:
Optimal Sensor Placement by Distribution Based Multiobjective Evolutionary Optimization. LION 2021: 315-332 - [c23]Alessandro Riboni, Antonio Candelieri, Matteo Borrotti:
Deep Autonomous Agents Comparison for Self-driving Cars. LOD 2021: 201-213 - [c22]Antonio Candelieri:
A Gentle Introduction to Bayesian Optimization. WSC 2021: 1-16 - [c21]Antonio Candelieri, Giulia Pedrielli:
Treed-Gaussian Processes with Support Vector Machines as Nodes For Nonstationary Bayesian Optimization. WSC 2021: 1-12 - [i13]Antonio Candelieri, Francesco Archetti:
MISO-wiLDCosts: Multi Information Source Optimization with Location Dependent Costs. CoRR abs/2102.04951 (2021) - [i12]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Uncertainty quantification and exploration-exploitation trade-off in humans. CoRR abs/2102.07647 (2021) - [i11]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Risk Aware Optimization of Water Sensor Placement. CoRR abs/2103.04862 (2021) - [i10]Alessandro Riboni, Nicolò Ghioldi, Antonio Candelieri, Matteo Borrotti:
Bayesian Optimization and Deep Learning forsteering wheel angle prediction. CoRR abs/2110.13629 (2021) - [i9]Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Gamifying optimization: a Wasserstein distance-based analysis of human search. CoRR abs/2112.06292 (2021) - 2020
- [j10]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) - [j9]Yaroslav D. Sergeyev, Antonio Candelieri, Dmitri E. Kvasov, Riccardo Perego:
Safe global optimization of expensive noisy black-box functions in the δ-Lipschitz framework. Soft Comput. 24(23): 17715-17735 (2020) - [j8]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) - [c20]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 - [c19]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 - [c18]Antonio Candelieri, Ilaria Giordani, Riccardo Perego, Francesco Archetti:
Composition of Kernel and Acquisition Functions for High Dimensional Bayesian Optimization. LION 2020: 316-323 - [c17]Bruno G. Galuzzi, Enza Messina, Antonio Candelieri, Francesco Archetti:
Optimal Scenario-Tree Selection for Multistage Stochastic Programming. LOD (1) 2020: 335-346 - [i8]Antonio Candelieri, Ilaria Giordani, Riccardo Perego, Francesco Archetti:
Composition of kernel and acquisition functions for High Dimensional Bayesian Optimization. CoRR abs/2003.04207 (2020) - [i7]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) - [i6]Antonio Candelieri, Riccardo Perego, Ilaria Giordani, Andrea Ponti, Francesco Archetti:
Modelling Human Active Search in Optimizing Black-box Functions. CoRR abs/2003.04275 (2020) - [i5]Antonio Candelieri, Riccardo Perego, Francesco Archetti:
Green Machine Learning via Augmented Gaussian Processes and Multi-Information Source Optimization. CoRR abs/2006.14233 (2020) - [i4]Antonio Candelieri, Ilaria Giordani, Andrea Ponti, Francesco Archetti:
Resilience in urban networked infrastructure: the case of Water Distribution Systems. CoRR abs/2006.14622 (2020)
2010 – 2019
- 2019
- [j7]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) - [j6]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) - [j5]Antonio Candelieri, Stanislav Fedorov, Enza Messina:
Efficient Kernel-Based Subsequence Search for Enabling Health Monitoring Services in IoT-Based Home Setting. Sensors 19(23): 5192 (2019) - [j4]Antonio Candelieri, Francesco Archetti:
Global optimization in machine learning: the design of a predictive analytics application. Soft Comput. 23(9): 2969-2977 (2019) - [c16]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 - [c15]Antonio Candelieri, Riccardo Perego, Ilaria Giordani, Francesco Archetti:
Are Humans Bayesian in the Optimization of Black-Box Functions? NUMTA (2) 2019: 32-42 - [c14]Bruno Giovanni Galuzzi, Ilaria Giordani, Antonio Candelieri, Riccardo Perego, Francesco Archetti:
Bayesian Optimization for Recommender System. WCGO 2019: 751-760 - [i3]Antonio Candelieri, Stanislav Fedorov, Vincenzina Messina:
Efficient Kernel-based Subsequence Search for User Identification from Walking Activity. CoRR abs/1906.04680 (2019) - [i2]Yaroslav D. Sergeyev, Antonio Candelieri, Dmitri E. Kvasov, Riccardo Perego:
Safe global optimization of expensive noisy black-box functions in the $δ$-Lipschitz framework. CoRR abs/1908.06010 (2019) - 2018
- [j3]Antonio Candelieri, Raffaele Perego, Francesco Archetti:
Bayesian optimization of pump operations in water distribution systems. J. Glob. Optim. 71(1): 213-235 (2018) - [c13]Antonio Candelieri, Wenbin Zhang, Enza Messina, Francesco Archetti:
Automated Rehabilitation Exercises Assessment in Wearable Sensor Data Streams. IEEE BigData 2018: 5302-5304 - [c12]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 - [c11]Alexandru Predescu, Catalin Negru, Mariana Mocanu, Ciprian Lupu, Antonio Candelieri:
A Multiple-Layer Clustering Method for Real-Time Decision Support in a Water Distribution System. BIS (Workshops) 2018: 485-497 - [c10]Antonio Candelieri, Riccardo Perego, Francesco Archetti:
Intelligent Pump Scheduling Optimization in Water Distribution Networks. LION 2018: 352-369 - [c9]Yi-An Tsai, Giulia Pedrielli, Logan Mathesen, Zelda B. Zabinsky, Hao Huang, Antonio Candelieri, Riccardo Perego:
Stochastic Optimization for Feasibility determination: an Application to water pump Operation in water Distribution Network. WSC 2018: 1945-1956 - [i1]Stanislav Fedorov, Antonio Candelieri:
Reachability-based safe learning for optimal control problem. CoRR abs/1811.04006 (2018) - 2017
- [c8]Antonio Candelieri, Ilaria Giordani, Francesco Archetti:
Supporting Resilience Management of Water Distribution Networks through Network Analysis and Hydraulic Simulation. CSCS 2017: 599-605 - [c7]Antonio Candelieri, Ilaria Giordani, Francesco Archetti:
Automatic Configuration of Kernel-Based Clustering: An Optimization Approach. LION 2017: 34-49 - 2015
- [c6]Antonio Candelieri, Francesco Archetti:
Detecting Events and Sentiment on Twitter for Improving Urban Mobility. ESSEM@AAMAS 2015: 106-115 - 2011
- [j2]Antonio Candelieri:
A hyper-solution framework for classification problems via metaheuristic approaches. 4OR 9(4): 425-428 (2011) - [c5]Antonio Candelieri, F. Riganello, D. Cortese, W. G. Sannita:
Functional Status and the Eye-tracking Response - A Data Mining Classification Study in the Vegetative and Minimaly Conscious States. HEALTHINF 2011: 138-141 - 2010
- [c4]F. Riganello, Antonio Candelieri:
Data Mining and the Functional Relationship between Heart Rate Variability and Emotional Processing - Comparative Analyses, Validation and Application. HEALTHINF 2010: 159-165
2000 – 2009
- 2009
- [c3]Antonio Candelieri, Domenico Conforti, Angela Sciacqua, Francesco Perticone:
Knowledge Discovery Approaches for Early Detection of Decompensation Conditions in Heart Failure Patients. ISDA 2009: 357-362 - 2008
- [c2]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:
Medical Knowledge Representation within Heartfaid Platform. HEALTHINF (1) 2008: 307-314 - [c1]Sara Colantonio, Massimo Martinelli, Davide Moroni, Ovidio Salvetti, Antonio Candelieri, Domenico Conforti, Francesco Perticone, Angela Sciacqua, Christos Biniaris, Andy Marsh:
A Decision Support Resource as a Kernel of a Semantic Web Based Platform Oriented to Heart Failure. SWWS 2008: 142-148
1990 – 1999
- 1997
- [j1]Fabrizio Baiardi, Antonio Candelieri, Laura Ricci:
Massively parallel execution of logic programs: A static approach. J. Syst. Archit. 43(6-7): 437-457 (1997)
Coauthor Index
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last updated on 2024-08-05 20:21 CEST by the dblp team
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