A bi-objective coordination setup problem in a two-stage production system. - Michele Ciavotta; Paolo Detti; Carlo Meloni; Marco Pranzo (Eur. J. Oper. Res., 2008)

A Review and Evaluation of Multiobjective Algorithms for the Flowshop Scheduling Problem. - Gerardo Minella; Rubén Ruiz; Michele Ciavotta (INFORMS J. Comput., 2008)

Restarted Iterated Pareto Greedy algorithm for multi-objective flowshop scheduling problems. - Gerardo Minella; Rubén Ruiz; Michele Ciavotta (Comput. Oper. Res., 2011)

SPACE4CLOUD: a tool for system performance and costevaluation of cloud systems. - Davide Franceschelli; Danilo Ardagna; Michele Ciavotta; Elisabetta Di Nitto (MultiCloud@ICPE, 2013)

Multi-objective sequence dependent setup times permutation flowshop: A new algorithm and a comprehensive study. - Michele Ciavotta; Gerardo Minella; Rubén Ruiz (Eur. J. Oper. Res., 2013)

A Multi-model Optimization Framework for the Model Driven Design of Cloud Applications. - Danilo Ardagna; Giovanni Paolo Gibilisco; Michele Ciavotta; Alexander Lavrentev (SSBSE, 2014)

A Receding Horizon Approach for the Runtime Management of IaaS Cloud Systems. - Danilo Ardagna; Michele Ciavotta; Riccardo Lancellotti (SYNASC, 2014)

Optimal Capacity Allocation for Executing MapReduce Jobs in Cloud Systems. - Marzieh Malekimajd; Alessandro Maria Rizzi; Danilo Ardagna; Michele Ciavotta; Mauro Passacantando; Ali Movaghar 001 (SYNASC, 2014)

Issues about the Adoption of Formal Methods for Dependable Composition of Web Services. - Manuel Mazzara; Michele Ciavotta (Int. J. Syst. Serv. Oriented Eng., 2014)

Quality-of-service in cloud computing: modeling techniques and their applications. - Danilo Ardagna; Giuliano Casale; Michele Ciavotta; Juan F. Pérez; Weikun Wang (J. Internet Serv. Appl., 2014)

A Joint Benchmark-Analytic Approach For Design-Time Assessment of Multi-Cloud Applications. - Athanasia Evangelinou; Michele Ciavotta; George Kousiouris; Danilo Ardagna (Cloud Forward, 2015)

SPACE4Cloud: a DevOps environment for multi-cloud applications. - Michele Guerriero; Michele Ciavotta; Giovanni Paolo Gibilisco; Danilo Ardagna (QUDOS@SIGSOFT FSE, 2015)

A Model-Driven DevOps Framework for QoS-Aware Cloud Applications. - Michele Guerriero; Michele Ciavotta; Giovanni Paolo Gibilisco; Danilo Ardagna (SYNASC, 2015)

Optimal Map Reduce Job Capacity Allocation in Cloud Systems. - Marzieh Malekimajd; Danilo Ardagna; Michele Ciavotta; Alessandro Maria Rizzi; Mauro Passacantando (SIGMETRICS Perform. Evaluation Rev., 2015)

D-SPACE4Cloud: A Design Tool for Big Data Applications. - Michele Ciavotta; Eugenio Gianniti; Danilo Ardagna (ICA3PP, 2016)

Palladio Optimization Suite: QoS optimization for component-based Cloud applications. - Michele Ciavotta; Danilo Ardagna; Anne Koziolek (EAI Endorsed Trans. Cloud Syst., 2016)

A Game-Theoretic Approach for Runtime Capacity Allocation in MapReduce. - Eugenio Gianniti; Danilo Ardagna; Michele Ciavotta; Mauro Passacantando (CCGrid, 2017)

Capacity Allocation for Big Data Applications in the Cloud. - Michele Ciavotta; Eugenio Gianniti; Danilo Ardagna (ICPE Companion, 2017)

A mixed integer linear programming optimization approach for multi-cloud capacity allocation. - Michele Ciavotta; Danilo Ardagna; Giovanni Paolo Gibilisco (J. Syst. Softw., 2017)

Generalized Nash Equilibria for the Service Provisioning Problem in Multi-Cloud Systems. - Danilo Ardagna; Michele Ciavotta; Mauro Passacantando (IEEE Trans. Serv. Comput., 2017)

Using historical and weather data for marketing and category management in ecommerce: the experience of EW-shopp. - David Creslovnik; Aljaz Kosmerlj; Michele Ciavotta (ECSA (Companion), 2018)

Data wrangling at scale: the experience of EW-shopp. - Nikolay Nikolov; Michele Ciavotta; Flavio De Paoli (ECSA (Companion), 2018)

EW-Shopp Project: Supporting Event and Weather-Based Data Analytics and Marketing Along the Shopper Journey. - Matteo Palmonari; Michele Ciavotta; Flavio De Paoli; Aljaz Kosmerlj; Nikolay Nikolov (ESOCC Workshops, 2018)

Interoperable meta model for simulation-in-the-loop. - Michele Ciavotta; Andrea Bettoni; Gabriele Izzo (ICPS, 2018)

Enterprise applications cloud rightsizing through a joint benchmarking and optimization approach. - Athanasia Evangelinou; Michele Ciavotta; Danilo Ardagna; Aliki Kopaneli; George Kousiouris; Theodora A. Varvarigou (Future Gener. Comput. Syst., 2018)

An optimization framework for the capacity allocation and admission control of MapReduce jobs in cloud systems. - Marzieh Malekimajd; Danilo Ardagna; Michele Ciavotta; Eugenio Gianniti; Mauro Passacantando; Alessandro Maria Rizzi (J. Supercomput., 2018)

HyperSpark: A Data-Intensive Programming Environment for Parallel Metaheuristics. - Michele Ciavotta; Srdjan Krstic; Damian A. Tamburri; Willem-Jan van den Heuvel (BigData Congress, 2019)

Optimizing on-demand GPUs in the Cloud for Deep Learning Applications Training. - Arezoo Jahani; Marco Lattuada 001; Michele Ciavotta; Danilo Ardagna; Edoardo Amaldi; Li Zhang 002 (ICCCS, 2019)

ASIA: a Tool for Assisted Semantic Interpretation and Annotation of Tabular Data. - Vincenzo Cutrona; Michele Ciavotta; Flavio De Paoli; Matteo Palmonari (ISWC (Satellites), 2019)

On the composition and recommendation of multi-feature paths: a comprehensive approach. - Vincenzo Cutrona; Federico Bianchi 001; Michele Ciavotta; Andrea Maurino (GeoInformatica, 2019)

Towards the Digital Factory: A Microservices-Based Middleware for Real-to-Digital Synchronization. - Michele Ciavotta; Giovanni Dal Maso; Diego Rovere; Radostin Tsvetanov; Silvia Menato (Microservices, Science and Engineering, 2020)

3D-CLoST: A CNN-LSTM Approach for Mobility Dynamics Prediction in Smart Cities. - Stefano Fiorini; Giorgio Pilotti; Michele Ciavotta; Andrea Maurino (IEEE BigData, 2020)

Hierarchical Scheduling in on-demand GPU-as-a-Service Systems. - Federica Filippini; Marco Lattuada 001; Arezoo Jahani; Michele Ciavotta; Danilo Ardagna; Edoardo Amaldi (SYNASC, 2020)

DFaaS: Decentralized Function-as-a-Service for Federated Edge Computing. - Michele Ciavotta; Davide Motterlini; Marco Savi; Alessandro Tundo (CloudNet, 2021)

ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS. - Federica Filippini; Danilo Ardagna; Marco Lattuada 001; Edoardo Amaldi; Maciek Riedl; Katarzyna Materka; Pawel Skrzypek; Michele Ciavotta; Fabrizio Magugliani; Marco Cicala (FiCloud, 2021)

A multi-criteria algorithm for automatic detection of city communities. - Stefano Fiorini; Michele Ciavotta; Andrea Maurino (ITSC, 2021)

BEEO: Semantic Support forEvent-Based Data Analytics. - Michele Ciavotta; Vincenzo Cutrona; Flavio De Paoli; Matteo Palmonari; Blerina Spahiu (ISWC, 2021)

The Multiple Multidimensional Knapsack with Family-Split Penalties. - Simona Mancini; Michele Ciavotta; Carlo Meloni (Eur. J. Oper. Res., 2021)

A Hierarchical Receding Horizon Algorithm for QoS-Driven Control of Multi-IaaS Applications. - Danilo Ardagna; Michele Ciavotta; Riccardo Lancellotti; Michele Guerriero (IEEE Trans. Cloud Comput., 2021)

Optimizing Quality-Aware Big Data Applications in the Cloud. - Eugenio Gianniti; Michele Ciavotta; Danilo Ardagna (IEEE Trans. Cloud Comput., 2021)

Supporting Semantic Data Enrichment at Scale. - Michele Ciavotta; Vincenzo Cutrona; Flavio De Paoli; Nikolay Nikolov; Matteo Palmonari; Dumitru Roman (Technologies and Applications for Big Data Value, 2022)

Serverless Computing for NFV: Is it Worth it? A Performance Comparison Analysis. - Marco Savi; Alessandro Banfi; Alessandro Tundo; Michele Ciavotta (PerCom Workshops, 2022)

Towards Self-Adaptive Peer-to-Peer Monitoring for Fog Environments. - Vera Colombo; Alessandro Tundo; Michele Ciavotta; Leonardo Mariani (SEAMS, 2022)

Listening to the City, Attentively: A Spatio-Temporal Attention-Boosted Autoencoder for the Short-Term Flow Prediction Problem. - Stefano Fiorini; Michele Ciavotta; Andrea Maurino (Algorithms, 2022)

On the adoption of e-moped sharing systems. - Stefano Fiorini; Michele Ciavotta; Sagar Joglekar 001; Sanja Scepanovic; Daniele Quercia (EPJ Data Sci., 2022)

Architectural Design of Cloud Applications: A Performance-Aware Cost Minimization Approach. - Michele Ciavotta; Giovanni Paolo Gibilisco; Danilo Ardagna; Elisabetta Di Nitto; Marco Lattuada 001; Marcos Aurélio Almeida da Silva (IEEE Trans. Cloud Comput., 2022)

ABSTAT-HD: a scalable tool for profiling very large knowledge graphs. - Renzo Arturo Alva Principe; Andrea Maurino; Matteo Palmonari; Michele Ciavotta; Blerina Spahiu (VLDB J., 2022)

SigMaNet: One Laplacian to Rule Them All. - Stefano Fiorini; Stefano Coniglio; Michele Ciavotta; Enza Messina (AAAI, 2023)

Driving into Uncertainty: An Adversarial Generative Approach for Multivariate Scenario Generation. - Michele Carbonera; Michele Ciavotta; Enza Messina (IEEE Big Data, 2023)

On-Street Parking Prediction: A Comparative Study. - Stefano Fiorini; Michele Ciavotta; Carlo Liberto; Gaetano Valenti (IEEE Big Data, 2023)

Geospatial Enrichment of Urban Data for Advanced City Planning: a Pilot Study. - Iva Krasteva; Dessislava Petrova-Antonova; Flavio De Paoli; Emil Popov Hristov; Milena Borukova; Michele Ciavotta; Roberto Avogadro (IEEE Big Data, 2023)

Estimating Link Confidence for Human-in-the-Loop Table Annotation. - Roberto Avogadro; Michele Ciavotta; Flavio De Paoli; Matteo Palmonari; Dumitru Roman (WI/IAT, 2023)

A Path Relinking Method for the Joint Online Scheduling and Capacity Allocation of DL Training Workloads in GPU as a Service Systems. - Federica Filippini; Marco Lattuada 001; Michele Ciavotta; Arezoo Jahani; Danilo Ardagna; Edoardo Amaldi (IEEE Trans. Serv. Comput., 2023)

Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs. - Stefano Fiorini; Stefano Coniglio; Michele Ciavotta; Enza Messina (AAAI, 2024)

LLM-Based DAG Creation for Data Enrichment Pipelines in SemT Framework. - Alidu Abubakari; Michele Ciavotta; Flavio De Paoli (ICSOC Workshops (1), 2024)

WatchEDGE: Smart networking for distributed AI-based environmental control. - Guido Maier; Antonino Albanese; Michele Ciavotta; Nicola Ciulli; Stefano Giordano; Elisa Giusti; Alfredo Salvatore; Giovanni Schembra (Comput. Networks, 2024)

DLGNet: Hyperedge Classification through Directed Line Graphs for Chemical Reactions. - Stefano Fiorini; Giulia M. Bovolenta; Stefano Coniglio; Michele Ciavotta; Pietro Morerio; Michele Parrinello; Alessio Del Bue (CoRR, 2024)

An interactive approach to semantic enrichment with geospatial data. - Flavio De Paoli; Michele Ciavotta; Roberto Avogadro; Emil Hristov 001; Milena Borukova; Dessislava Petrova-Antonova; Iva Krasteva (Data Knowl. Eng., 2024)

Let There be Direction in Hypergraph Neural Networks. - Stefano Fiorini; Stefano Coniglio; Michele Ciavotta; Alessio Del Bue (Trans. Mach. Learn. Res., 2024)

A decomposition approach for multidimensional knapsacks with family-split penalties. - Simona Mancini; Carlo Meloni; Michele Ciavotta (Int. Trans. Oper. Res., 2024)

Prompt2DAG: A Modular Prompting Approach for Democratizing Data Pipeline Generation. - Alidu Abubakari; Michele Ciavotta; Flavio De Paoli (SSE, 2025)

SemT: A Framework for Enhancing Tabular Data Through Enrichment-as-a-Service. - Alidu Abubakari; Michele Ciavotta; Flavio De Paoli (ESOCC, 2025)

ML-Based Performance Modeling in Edge FaaS Systems. - Federica Filippini; Luca Cavenaghi; Nicolas Calmi; Marco Savi; Michele Ciavotta (ESOCC, 2025)

Multi-Agent Reinforcement Learning for Workload Distribution in FaaS-Edge Computing Systems. - Emanuele Petriglia; Federica Filippini; Michele Ciavotta; Marco Savi (IPDPS (Workshops), 2025)

Decentralized Edge Workload Forecasting With Gossip Learning. - Alessandro Tundo; Federica Filippini; Francesco Regonesi; Michele Ciavotta; Marco Savi (IEEE Trans. Netw. Serv. Manag., 2025)