Archivio Istituzionale della RicercaFADDA, EDOARDO
FADDA, EDOARDO
Dipartimento di Scienze Matematiche
032649
A chance-constraint approach for optimizing social engagement-based services
2022 Bierlaire, Michel; FOTIO TIOTSOP, Lohic; Manerba, Daniele; Fadda, Edoardo
Effective and Efficient Heuristic Approaches for Solving the Capacitated P-Median Clustering Problem
2022 Cuzzocrea, Alfredo; Fadda, Edoardo; Leonardi, Emilio
Machine Learning for Variable Cost and Size Bin Packing Problem
2022 Fedorov, Stanislav; Fadda, Edoardo; Perboli, Guido
Machine Learning heuristic for Variable Cost and Size Bin Packing Problem with Stochastic Items
2022 Fedorov, Stanislav; Fadda, Edoardo; Perboli, Guido
Scaling Posterior Distributions over Differently-Curated Datasets: A Bayesian-Neural-Networks Methodology
2022 Cuzzocrea, Alfredo; Soufargi, Selim; Baldo, Alessandro; Fadda, Edoardo
Towards a Bayesian-Neural-Networks Framework for Scaling Posterior Distributions over Different-Curation Datasets
2022 Baldo, Alessandro; Cuzzocrea, Alfredo; Fadda, Edoardo
Virus Spread Modeling and Simulation: A Behavioral Parameters Approach and Its Application to Covid-19
2022 Cuzzocrea, Alfredo; Fadda, Edoardo
Adaptive Complex Data-Intensive Web Systems via Object-oriented Paradigms: A Real-life Case Study
2021 Cuzzocrea, A.; Fadda, E.
Financial Forecasting via Deep-Learning and Machine-Learning Tools over Two-Dimensional Objects Transformed from Time Series
2021 Baldo, A.; Cuzzocrea, A.; Fadda, E.; Bringas, P. G.
From low-level-event-logs to high-level-business-process-model-activities: An advanced framework based on machine learning and flexible BPMN model translation
2021 Cuzzocrea, A.; Damiani, E.; Al-Ali, H.; Mizouni, R.; Tello, G.; Fadda, E.
Lyapunov Central Limit Theorem: Theoretical Properties and Applications in Big-Data-Populated Smart City Settings
2021 Cuzzocrea, A.; Fadda, E.; Baldo, A.
Mixing machine learning and optimization for the tactical capacity planning in last-mile delivery
2021 Fadda, Edoardo; Fedorov, Stanislav; Perboli, Guido; Cardenas Barbosa, Ivan Dario
Non-linear analytic prediction of IP addresses for supporting cyber attack detection and analysis
2021 Cuzzocrea, A.; Mumolo, E.; Fadda, E.; Soufargi, S.; Leung, C. K.
Solving assignment problems via Quantum Computing: A case-study in train seating arrangement
2021 Gioda, I.; Caputo, D.; Fadda, E.; Manerba, D.; Silva Fernandez, B.; Tadei, R.
Supporting Privacy-Preserving Big Data Analytics on Temporal Open Big Data
2021 Cuzzocrea, Alfredo; Leung, Carson K.; Olawoyin, Anifat M.; Fadda, Edoardo
A combined deep-learning and transfer-learning approach for supporting social influence prediction
2020 Cuzzocrea, A.; Leung, C. K.; Deng, D.; Mai, J. J.; Jiang, F.; Fadda, E.
A Novel Big Data Analytics Approach for Supporting Cyber Attack Detection via Non-linear Analytic Prediction of IP Addresses
2020 Cuzzocrea, Alfredo; Mumolo, Enzo; Fadda, Edoardo; Tessarotto, Marco
An effective and efficient technique for supporting privacy-preserving keyword-based search over encrypted data in clouds
2020 Cuzzocrea, A.; Leung, C. K.; Wodi, B. H.; Sourav, S.; Fadda, E.
Data-Intensive Object-Oriented Adaptive Web Systems: Implementing and Experimenting the OO-XAHM Framework
2020 Cuzzocrea, A.; Fadda, E.
Experimenting and Assessing a Distributed Privacy-Preserving OLAP over Big Data Framework: Principles, Practice, and Experiences
2020 Cuzzocrea, A.; De Maio, V.; Fadda, E.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| A chance-constraint approach for optimizing social engagement-based services / Bierlaire, Michel; FOTIO TIOTSOP, Lohic; Manerba, Daniele; Fadda, Edoardo. - 30:(2022), pp. 301-304. (Intervento presentato al convegno FedCSIS tenutosi a Sofia nel 4-7 settembre 2022) [10.15439/2022F235]. | 1-gen-2022 | Lohic Fotio TiotsopDaniele ManerbaEdoardo Fadda + | FedCsis_2022_Social_Engagement.pdf; A chance-constraint approach for optimizing Social Engagement-based services.pdf |
| Effective and Efficient Heuristic Approaches for Solving the Capacitated P-Median Clustering Problem / Cuzzocrea, Alfredo; Fadda, Edoardo; Leonardi, Emilio. - (2022), pp. 12-18. (Intervento presentato al convegno 6th International Conference on Cloud and Big Data Computing, ICCBDC 2022 tenutosi a Birmingham (UK) nel 18-20 August 2022) [10.1145/3555962.3555965]. | 1-gen-2022 | Fadda, Edoardo + | 3555962.3555965.pdf |
| Machine Learning for Variable Cost and Size Bin Packing Problem / Fedorov, Stanislav; Fadda, Edoardo; Perboli, Guido. - ELETTRONICO. - (2022). (Intervento presentato al convegno 6th AIROYoung Workshop tenutosi a Roma nel 23rd to 25th February 2022). | 1-gen-2022 | Fedorov,StanislavFadda,EdoardoPerboli,Guido | FEDOROV_STANISLAV_6AYW.pdf |
| Machine Learning heuristic for Variable Cost and Size Bin Packing Problem with Stochastic Items / Fedorov, Stanislav; Fadda, Edoardo; Perboli, Guido. - ELETTRONICO. - (2022), pp. 287-287. (Intervento presentato al convegno The International Conference on Optimization and Decision Science 2022 tenutosi a Florence, Italy nel August 30th - September 2nd 2022). | 1-gen-2022 | Fedorov,StanislavFadda,EdoardoPerboli,Guido | Contribution_Title (3).pdf |
| Scaling Posterior Distributions over Differently-Curated Datasets: A Bayesian-Neural-Networks Methodology / Cuzzocrea, Alfredo; Soufargi, Selim; Baldo, Alessandro; Fadda, Edoardo. - 13515:(2022), pp. 198-208. (Intervento presentato al convegno 26th International Symposium on Methodologies for Intelligent Systems, ISMIS 2022 tenutosi a Cosenza (Ita) nel October 3–5, 2022) [10.1007/978-3-031-16564-1_19]. | 1-gen-2022 | Fadda, Edoardo + | 978-3-031-16564-1.pdf |
| Towards a Bayesian-Neural-Networks Framework for Scaling Posterior Distributions over Different-Curation Datasets / Baldo, Alessandro; Cuzzocrea, Alfredo; Fadda, Edoardo. - (2022), pp. 71-77. (Intervento presentato al convegno 6th International Conference on Cloud and Big Data Computing tenutosi a Birmingham (UK) nel August 18 - 20, 2022) [10.1145/3555962.3555974]. | 1-gen-2022 | Fadda, Edoardo + | 3555962.3555974.pdf |
| Virus Spread Modeling and Simulation: A Behavioral Parameters Approach and Its Application to Covid-19 / Cuzzocrea, Alfredo; Fadda, Edoardo. - 1:(2022), pp. 187-193. (Intervento presentato al convegno 24th International Conference on Enterprise Information Systems, ICEIS 2022 tenutosi a online nel April 25-27, 2022) [10.5220/0011055900003179]. | 1-gen-2022 | Fadda, Edoardo + | 110559.pdf |
| Adaptive Complex Data-Intensive Web Systems via Object-oriented Paradigms: A Real-life Case Study / Cuzzocrea, A.; Fadda, E.. - 2:(2021), pp. 565-572. (Intervento presentato al convegno 23rd International Conference on Enterprise Information Systems, ICEIS 2021 tenutosi a online nel 26 April 2021 through 28 April 2021) [10.5220/0010481705650572]. | 1-gen-2021 | Fadda E. + | 7073759551ddf836f52c70998d593137e0f2.pdf |
| Financial Forecasting via Deep-Learning and Machine-Learning Tools over Two-Dimensional Objects Transformed from Time Series / Baldo, A.; Cuzzocrea, A.; Fadda, E.; Bringas, P. G.. - 12886:(2021), pp. 550-563. (Intervento presentato al convegno 16th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2021 tenutosi a Bilbao (Esp) nel September 22–24, 2021) [10.1007/978-3-030-86271-8_46]. | 1-gen-2021 | Fadda E. + | 978-3-030-86271-8.pdf |
| From low-level-event-logs to high-level-business-process-model-activities: An advanced framework based on machine learning and flexible BPMN model translation / Cuzzocrea, A.; Damiani, E.; Al-Ali, H.; Mizouni, R.; Tello, G.; Fadda, E.. - 2994:(2021). (Intervento presentato al convegno 29th Italian Symposium on Advanced Database Systems, SEBD 2021 tenutosi a Pizzo Calabro (Ita) nel September 5-9, 2021). | 1-gen-2021 | Fadda E. + | paper9.pdf |
| Lyapunov Central Limit Theorem: Theoretical Properties and Applications in Big-Data-Populated Smart City Settings / Cuzzocrea, A.; Fadda, E.; Baldo, A.. - (2021), pp. 34-38. (Intervento presentato al convegno 5th International Conference on Cloud and Big Data Computing tenutosi a Online nel 13 August 2021to 15 August 2021) [10.1145/3481646.3481652]. | 1-gen-2021 | Fadda E. + | Lyapunov Central Limit Theorem_ Theoretical Properties and Applications in Big-Data-Populated Smart City Settings.pdf |
| Mixing machine learning and optimization for the tactical capacity planning in last-mile delivery / Fadda, Edoardo; Fedorov, Stanislav; Perboli, Guido; Cardenas Barbosa, Ivan Dario. - ELETTRONICO. - (2021), pp. 1-6. (Intervento presentato al convegno 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC) tenutosi a Virtual nel July, 12-16, 2021) [10.1109/COMPSAC51774.2021.00180]. | 1-gen-2021 | Fadda, EdoardoFedorov, StanislavPerboli, Guido + | PaperWriteup.pdf; 2021-compsac-Mixing_machine_learning_and_optimization.pdf |
| Non-linear analytic prediction of IP addresses for supporting cyber attack detection and analysis / Cuzzocrea, A.; Mumolo, E.; Fadda, E.; Soufargi, S.; Leung, C. K.. - 2994:(2021). (Intervento presentato al convegno 29th Italian Symposium on Advanced Database Systems, SEBD 2021 tenutosi a Pizzo Calabro (Ita) nel 5 September 2021 through 9 September 2021). | 1-gen-2021 | Fadda E. + | paper2.pdf |
| Solving assignment problems via Quantum Computing: A case-study in train seating arrangement / Gioda, I.; Caputo, D.; Fadda, E.; Manerba, D.; Silva Fernandez, B.; Tadei, R.. - 25:(2021), pp. 217-220. (Intervento presentato al convegno 16th Conference on Computer Science and Intelligence Systems, FedCSIS 2021 tenutosi a bgr nel 2021) [10.15439/2021F74]. | 1-gen-2021 | Fadda E. + | 2021 Fedcsis Train arrangement.pdf; Solving assignment problems via Quantum Computing_ a case-study in train seating arrangement.pdf |
| Supporting Privacy-Preserving Big Data Analytics on Temporal Open Big Data / Cuzzocrea, Alfredo; Leung, Carson K.; Olawoyin, Anifat M.; Fadda, Edoardo. - In: PROCEDIA COMPUTER SCIENCE. - ISSN 1877-0509. - 198:(2021), pp. 112-121. (Intervento presentato al convegno 12th International Conference on Emerging Ubiquitous Systems and Pervasive Networks / 11th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare tenutosi a Leuven (Belgium) nel 1 November 2021 through 4 November 2021) [10.1016/j.procs.2021.12.217]. | 1-gen-2021 | Fadda, Edoardo + | 1-s2.0-S187705092102456X-main.pdf |
| A combined deep-learning and transfer-learning approach for supporting social influence prediction / Cuzzocrea, A.; Leung, C. K.; Deng, D.; Mai, J. J.; Jiang, F.; Fadda, E.. - In: PROCEDIA COMPUTER SCIENCE. - ISSN 1877-0509. - 177:(2020), pp. 170-177. (Intervento presentato al convegno 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2020 tenutosi a Madeira (Portugal) nel November 2-5, 2020) [10.1016/j.procs.2020.10.025]. | 1-gen-2020 | Fadda E. + | main.pdf |
| A Novel Big Data Analytics Approach for Supporting Cyber Attack Detection via Non-linear Analytic Prediction of IP Addresses / Cuzzocrea, Alfredo; Mumolo, Enzo; Fadda, Edoardo; Tessarotto, Marco. - 12249 LNCS:(2020), pp. 978-991. (Intervento presentato al convegno 20th International Conference on Computational Science and Its Applications tenutosi a Cagliari (Ita) nel 1 July 2020 through 4 July 2020) [10.1007/978-3-030-58799-4_70]. | 1-gen-2020 | Fadda, Edoardo + | 978-3-030-58799-4.pdf |
| An effective and efficient technique for supporting privacy-preserving keyword-based search over encrypted data in clouds / Cuzzocrea, A.; Leung, C. K.; Wodi, B. H.; Sourav, S.; Fadda, E.. - In: PROCEDIA COMPUTER SCIENCE. - ISSN 1877-0509. - 177:(2020), pp. 509-515. (Intervento presentato al convegno 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2020 tenutosi a Madeira (Portugal) nel 2 November 2020 through 5 November 2020) [10.1016/j.procs.2020.10.070]. | 1-gen-2020 | Fadda E. + | 1-s2.0-S1877050920323401-main.pdf |
| Data-Intensive Object-Oriented Adaptive Web Systems: Implementing and Experimenting the OO-XAHM Framework / Cuzzocrea, A.; Fadda, E.. - (2020), pp. 115-123. (Intervento presentato al convegno 12th International Conference on Management of Digital EcoSystems, MEDES 2020 tenutosi a online nel 2 November 2020 through 4 November 2020) [10.1145/3415958.3433051]. | 1-gen-2020 | Fadda E. + | 3415958.3433051.pdf |
| Experimenting and Assessing a Distributed Privacy-Preserving OLAP over Big Data Framework: Principles, Practice, and Experiences / Cuzzocrea, A.; De Maio, V.; Fadda, E.. - (2020), pp. 1344-1350. (Intervento presentato al convegno 44th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2020 tenutosi a Virtual - Madrid (Esp) nel 13 July 2020 through 17 July 2020) [10.1109/COMPSAC48688.2020.00-69]. | 1-gen-2020 | Fadda E. + | Experimenting_and_Assessing_a_Distributed_Privacy-Preserving_OLAP_over_Big_Data_Framework_Principles_Practice_and_Experiences.pdf |