Virginia Yannibelli

27 papers C 3Misc 1Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2025 — conf
A Novel Metaheuristic Approach to Monolith Decomposition into Microservices.
GECCO Companion
Ana C. Martínez Saucedo, Guillermo Rodríguez, Virginia Yannibelli
2025 J jnl
Reinforcement Learning initialization by evolutionary formulation: Application for workflow autoscaling in the Cloud.
Eng. Appl. Artif. Intell.
Luciano Robino, Yisel Gari, Elina Pacini, Cristian Mateos, Virginia Yannibelli, David A. Monge
2025 — conf
Reinforcement Learning-based Cloud Autoscaler Initialization via Evolutionary Algorithms.
GECCO Companion
Luciano Robino, Elina Pacini, Yisel Gari, Cristian Mateos, Virginia Yannibelli, David A. Monge
2024 J jnl
BAGESS: A Software Module Based on a Genetic Algorithm to Sequentially Order Load-Balancing Evaluation Scenarios Over Smartphone-Based Clusters at the Edge.
IEEE Access
Virginia Yannibelli, Matías Hirsch, Juan Toloza, Tim A. Majchrzak, Tor-Morten Grønli, Alejandro Zunino, Cristian Mateos
2023 J jnl
Speeding up Smartphone-Based Dew Computing: In Vivo Experiments Setup Via an Evolutionary Algorithm.
Sensors
Virginia Yannibelli, Matías Hirsch, Juan Toloza, Tim A. Majchrzak, Alejandro Zunino, Cristian Mateos
2021 — conf
Endowing the MIA Cloud Autoscaler with Adaptive Evolutionary and Particle Swarm Multi-Objective Optimization Algorithms.
MICAI (1)
Virginia Yannibelli, Elina Pacini, David A. Monge, Cristian Mateos, Guillermo Rodríguez
2020 J jnl
A Comparative Analysis of NSGA-II and NSGA-III for Autoscaling Parameter Sweep Experiments in the Cloud.
Sci. Program.
Virginia Yannibelli, Elina Pacini, David A. Monge, Cristian Mateos, Guillermo Rodríguez
2020 — conf
An NSGA-III-Based Multi-objective Intelligent Autoscaler for Executing Engineering Applications in Cloud Infrastructures.
MICAI (1)
Virginia Yannibelli, Elina Pacini, David A. Monge, Cristian Mateos, Guillermo Rodríguez
2020 J jnl
Foreword to the special issue on mining actionable insights from social networks.
Inf. Process. Manag.
Marcelo Gabriel Armentano, Ebrahim Bagheri, Frank W. Takes, Virginia Yannibelli
2018 — conf
An Adaptive Hybrid Evolutionary Approach for a Project Scheduling Problem that Maximizes the Effectiveness of Human Resources.
MICAI (1)
Virginia Yannibelli
2018 J jnl
Collaborative Learning Team Formation Considering Team Roles: An Evolutionary Approach based on Adaptive Crossover, Mutation and Simulated Annealing.
Res. Comput. Sci.
Virginia Yannibelli, Analía Amandi
2017 C conf
A Hybrid Evolutionary Algorithm based on Adaptive Mutation and Crossover for Collaborative Learning Team Formation in Higher Education.
IDEAL
Virginia Yannibelli, Analía Amandi
2017 — ed.
Proceedings of the 3rd International Workshop on Social Influence Analysis co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, August 19, 2017.
SocInf@IJCAI
Marcelo Gabriel Armentano, Jie Tang, Virginia Yannibelli
2016 J jnl
A Steady-State Evolutionary Algorithm for Building Collaborative Learning Teams in Educational Environments Considering the Understanding Levels and Interest Levels of the Students.
J. Univers. Comput. Sci.
Virginia Yannibelli, Marcelo Gabriel Armentano, Franco Daniel Berdun, Analía Amandi
2016 — ed.
Proceedings of the 2nd International Workshop on Social Influence Analysis co-located with 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), New York City, New York, USA, July 9, 2016.
SocInf@IJCAI
Marcelo Gabriel Armentano, Ariel Monteserin, Jie Tang, Virginia Yannibelli
2015 C conf
Hybrid Evolutionary Algorithm with Adaptive Crossover, Mutation and Simulated Annealing Processes to Project Scheduling.
IDEAL
Virginia Yannibelli, Analía Amandi
2015 — ed.
Proceedings of the 1st International Workshop on Social Influence Analysis, SocInf 2015, co-located with 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 27, 2015.
SocInf@IJCAI
Marcelo Gabriel Armentano, Ariel Monteserin, Jie Tang, Virginia Yannibelli
2015 J jnl
Project Scheduling: A Memetic Algorithm with Diversity-Adaptive Components that Optimizes the Effectiveness of Human Resources.
Polibits
Virginia Yannibelli, Analía Amandi
2015 — conf
Scheduling Projects by a Hybrid Evolutionary Algorithm with Self-Adaptive Processes.
MICAI (1)
Virginia Yannibelli, Analía Amandi
2014 C conf
A Diversity-Adaptive Hybrid Evolutionary Algorithm to Solve a Project Scheduling Problem.
IDEAL
Virginia Yannibelli, Analía Amandi
2013 Misc conf
A Hybrid Algorithm Combining an Evolutionary Algorithm and a Simulated Annealing Algorithm to Solve a Collaborative Learning Team Building Problem.
HAIS
Virginia Yannibelli, Analía Amandi
2013 J jnl
Hybridizing a multi-objective simulated annealing algorithm with a multi-objective evolutionary algorithm to solve a multi-objective project scheduling problem.
Expert Syst. Appl.
Virginia Yannibelli, Analía Amandi
2012 — conf
A Memetic Approach to Project Scheduling that Maximizes the Effectiveness of the Human Resources Assigned to Project Activities.
HAIS (1)
Virginia Yannibelli, Analía Amandi
2012 J jnl
A deterministic crowding evolutionary algorithm to form learning teams in a collaborative learning context.
Expert Syst. Appl.
Virginia Yannibelli, Analía Amandi
2011 — conf
A Memetic Algorithm for Collaborative Learning Team Formation in the Context of Software Engineering Courses.
ADNTIIC
Virginia Yannibelli, Analía Amandi
2011 J jnl
A knowledge-based evolutionary assistant to software development project scheduling.
Expert Syst. Appl.
Virginia Yannibelli, Analía Amandi
2006 J jnl
A genetic algorithm approach to recognise students' learning styles.
Interact. Learn. Environ.
Virginia Yannibelli, Daniela Godoy, Analía Amandi