Performability Modeling of Exceptions-Aware Systems in Multiformalism Tools. - Enrico Barbierato; Marco Gribaudo; Mauro Iacono; Stefano Marrone 001 (ASMTA, 2011)

A Tool Suite for Modelling Spatial Interdependencies of Distributed Systems with Markovian Agents. - Davide Cerotti; Enrico Barbierato; Marco Gribaudo (EPEW, 2011)

Exploiting multiformalism models for testing and performance evaluation in SIMTHESys. - Enrico Barbierato; Marco Gribaudo; Mauro Iacono (VALUETOOLS, 2011)

Defining Formalisms for Performance Evaluation With SIMTHESys. - Enrico Barbierato; Marco Gribaudo; Mauro Iacono (PASM@ICPE, 2011)

Multiformalism to Support Software Rejuvenation Modeling. - Enrico Barbierato; Andrea Bobbio; Marco Gribaudo; Mauro Iacono (ISSRE Workshops, 2012)

PerfBPEL: A graph-based approach for the performance analysis of BPEL SOA applications. - Enrico Barbierato; Mauro Iacono; Stefano Marrone 001 (VALUETOOLS, 2012)

The SIMTHESys multiformalism modeling framework. - Mauro Iacono; Enrico Barbierato; Marco Gribaudo (Comput. Math. Appl., 2012)

Exploiting product forms solution techniques in multiformalism modeling. - Enrico Barbierato; Gian-Luca Dei Rossi; Marco Gribaudo; Mauro Iacono; Andrea Marin (PASM/PDMC, 2012)

A Performance Modeling Language For Big Data Architectures. - Enrico Barbierato; Marco Gribaudo; Mauro Iacono (ECMS, 2013)

Modeling apache hive based applications in big data architectures. - Enrico Barbierato; Marco Gribaudo; Mauro Iacono (VALUETOOLS, 2013)

Performance evaluation of NoSQL big-data applications using multi-formalism models. - Enrico Barbierato; Marco Gribaudo; Mauro Iacono (Future Gener. Comput. Syst., 2014)

Fluid Approximation of Pool Depletion Systems. - Enrico Barbierato; Marco Gribaudo; Daniele Manini (ASMTA, 2016)

Simulating Hybrid Systems Within SIMTHESys Multi-formalism Models. - Enrico Barbierato; Marco Gribaudo; Mauro Iacono (EPEW, 2016)

Fluid Petri Nets for the Performance Evaluation of MapReduce Applications. - Eugenio Gianniti; Alessandro Maria Rizzi; Enrico Barbierato; Marco Gribaudo; Danilo Ardagna (VALUETOOLS, 2016)

Modeling Hybrid Systems in SIMTHESys. - Enrico Barbierato; Marco Gribaudo; Mauro Iacono (PASM, 2016)

Modeling and Evaluating the Effects of Big Data Storage Resource Allocation in Global Scale Cloud Architectures. - Enrico Barbierato; Marco Gribaudo; Mauro Iacono (Int. J. Data Warehous. Min., 2016)

Modeling Crowd Behavior in a Theater. - Enrico Barbierato; Marco Gribaudo; Mauro Iacono; Alexander H. Levis (InfQ@VALUETOOLS, 2017)

Fluid Petri Nets for the Performance Evaluation of MapReduce and Spark Applications. - Eugenio Gianniti; Alessandro Maria Rizzi; Enrico Barbierato; Marco Gribaudo; Danilo Ardagna (SIGMETRICS Perform. Evaluation Rev., 2017)

Second Order Fluid Performance Evaluation Models for Interactive 3D Multimedia Streaming. - Enrico Barbierato; Marco Gribaudo; Mauro Iacono; Pietro Piazzolla (EPEW, 2018)

Performance Prediction of Cloud-Based Big Data Applications. - Danilo Ardagna; Enrico Barbierato; Athanasia Evangelinou; Eugenio Gianniti; Marco Gribaudo; Túlio B. M. Pinto; Anna Guimarães; Ana Paula Couto da Silva; Jussara M. Almeida (ICPE, 2018)

Map-Reduce Process Algebra: A Formalism to Describe Directed Acyclic Graph Task-Based Jobs in Parallel Environments. - Enrico Barbierato; Marco Gribaudo; Mauro Iacono (ASMTA, 2019)

Evaluating the Safety of Crowds in Enclosed Spaces by Markovian Agents. - Enrico Barbierato; Marco Gribaudo; Mauro Iacono; Alexander H. Levis (PASM, 2019)

Exploiting CloudSim in a multiformalism modeling approach for cloud based systems. - Enrico Barbierato; Marco Gribaudo; Mauro Iacono; Agnieszka Jakobik (Simul. Model. Pract. Theory, 2019)

Multi-formalism Models for Performance Engineering. - Enrico Barbierato; Marco Gribaudo; Giuseppe Serazzi (Future Internet, 2020)

Performance Evaluation of a Data Lake Architecture via Modeling Techniques. - Enrico Barbierato; Marco Gribaudo; Giuseppe Serazzi; Letizia Tanca (EPEW, 2021)

Performance evaluation for the design of a hybrid cloud based distance synchronous and asynchronous learning architecture. - Enrico Barbierato; Lelio Campanile; Marco Gribaudo; Mauro Iacono; Michele Mastroianni; Stefania Nacchia (Simul. Model. Pract. Theory, 2021)

Predicting the performance of big data applications on the cloud. - Danilo Ardagna; Enrico Barbierato; Eugenio Gianniti; Marco Gribaudo; Túlio B. M. Pinto; Ana Paula Couto da Silva; Jussara M. Almeida (J. Supercomput., 2021)

FGDB: a comprehensive graph database of ligand fragments from the Protein Data Bank. - Daniele Toti; Gabriele Macari; Enrico Barbierato; Fabio Polticelli (Database J. Biol. Databases Curation, 2022)

Optimal Resource Allocation of Cloud-Based Spark Applications. - Marco Lattuada 001; Enrico Barbierato; Eugenio Gianniti; Danilo Ardagna (IEEE Trans. Cloud Comput., 2022)

Cost- And Performance-Based Evaluation Of Cloud-Based Disaster Recovery. - Enrico Barbierato; Mauro Iacono; Marco Gribaudo; Michele Mastroianni (ECMS, 2023)

HEALER: A Data Lake Architecture for Healthcare. - Carlo Manco; Tommaso Dolci; Fabio Azzalini; Enrico Barbierato; Marco Gribaudo; Letizia Tanca (EDBT/ICDT Workshops, 2023)

Workflow Characterization of a Big Data System Model for Healthcare Through Multiformalism. - Tancredi Covioli; Tommaso Dolci; Fabio Azzalini; Davide Piantella; Enrico Barbierato; Marco Gribaudo (EPEW, 2023)

Controlling Bias Between Categorical Attributes in Datasets: A Two-Step Optimization Algorithm Leveraging Structural Equation Modeling. - Enrico Barbierato; Andrea Pozzi; Daniele Tessera (IEEE Access, 2023)

Optimizing Battery Charging Using Neural Networks in the Presence of Unknown States and Parameters. - Andrea Pozzi; Enrico Barbierato; Daniele Toti (Sensors, 2023)

Cryptoblend: An AI-Powered Tool for Aggregation and Summarization of Cryptocurrency News. - Andrea Pozzi; Enrico Barbierato; Daniele Toti (Informatics, 2023)

Methodologies for the Parallelization, Performance Evaluation and Scheduling of Applications for the Cloud-Edge Continuum. - Antonio Esposito 001; Rocco Aversa; Enrico Barbierato; Maria Carla Calzarossa; Beniamino Di Martino; Luisa Massari; Ivan Giuseppe Mongiardo; Daniele Tessera; Salvatore Venticinque; Luca Zanussi; Rasha Zieni (AINA (5), 2024)

Performance Evaluation of Smart Bin Systems Using Markovian Agents for Efficient Garbage Collection. - Enrico Barbierato; Alice Gatti; Marco Gribaudo; Mauro Iacono (EPEW, 2024)

Toward Green AI: A Methodological Survey of the Scientific Literature. - Enrico Barbierato; Alice Gatti (IEEE Access, 2024)

Decoding Urban Intelligence: Clustering and Feature Importance in Smart Cities. - Enrico Barbierato; Alice Gatti (Future Internet, 2024)

Modeling Cyber Threats In Autonomous Guided Vehicles Using Mean Field Models. - Enrico Barbierato; Serena Curzel; Alice Gatti; Marco Gribaudo; Mauro Iacono (ECMS, 2025)

Breaking Away From AI: The Ontological and Ethical Evolution of Machine Learning. - Enrico Barbierato; Alice Gatti; Alessandro Incremona; Andrea Pozzi; Daniele Toti (IEEE Access, 2025)

Green AI's Role in Cultural Heritage and Sustainability. - Enrico Barbierato; Alice Gatti (ERCIM News, 2025)

Data-Driven Diagnostics for Pediatric Appendicitis: Machine Learning to Minimize Misdiagnoses and Unnecessary Surgeries. - Deborah Maffezzoni; Enrico Barbierato; Alice Gatti (Future Internet, 2025)

Robust Synthetic Data Generation for Sequential Financial Models Using Hybrid Variational Autoencoder-Markov Chain Monte Carlo Architectures. - Francesco Bruni Prenestino; Enrico Barbierato; Alice Gatti (Future Internet, 2025)