Lucas Marcondes Pavelski

11 papers A* 1A 1B 4Journal 1Unranked 4
YearRankTypeTitle / Venue / Authors
2023 B conf
Hidden Design Principles in Zero-Cost Performance Predictors for Neural Architecture Search.
IJCNN
André Ramos Fernandes Da Silva, Lucas Marcondes Pavelski, Luiz Alberto Queiroz Cordovil Júnior
2022 — conf
A Novel Multi-objective Decomposition Formulation for Per-Instance Configuration.
BRACIS (1)
Lucas Marcondes Pavelski, Myriam Regattieri Delgado, Marie-Eléonore Kessaci
2022 A* conf
A real-world case study for automated ticket team assignment using natural language processing and explainable models.
ASE
Lucas Marcondes Pavelski, Rodrigo de Souza Braga
2022 B conf
An evolutionary search algorithm for efficient ResNet-based architectures: a case study on gender recognition.
CEC
André Ramos Fernandes Da Silva, Lucas Marcondes Pavelski, Luiz Alberto Queiroz Cordovil Júnior, Paulo Henrique De Oliveira Gomes, Layane Menezes Azevedo, Francisco Erivaldo Fernandes Junior
2022 — conf
An experience report on how remote device access tools helped mobile developers during the COVID-19 pandemic.
ICSSP/ICGSE
Hadassa Munguba Rabelo, Lucas Marcondes Pavelski, Eberth Felipe Castro da Cruz, Francisco Erivaldo Fernandes Junior
2021 J jnl
An empirical analysis of constraint handling on evolutionary multi-objective algorithms for the Environmental/Economic Load Dispatch problem.
Expert Syst. Appl.
Josiel Neumann Kuk, Richard Aderbal Gonçalves, Lucas Marcondes Pavelski, Sandra Mara Guse Scós Venske, Carolina Paula de Almeida, Aurora Trinidad Ramirez Pozo
2021 — conf
Dynamic Learning in Hyper-Heuristics to Solve Flowshop Problems.
BRACIS (1)
Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam Regattieri Delgado
2021 B conf
Flowshop NEH-Based Heuristic Recommendation.
EvoCOP
Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam Regattieri Delgado
2021 B conf
Local Optima Network Sampling for Permutation Flowshop.
CEC
Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam R. B. S. Delgado
2019 A conf
Meta-learning on flowshop using fitness landscape analysis.
GECCO
Lucas Marcondes Pavelski, Myriam Regattieri Delgado, Marie-Eléonore Kessaci
2018 — conf
Recommending Meta-Heuristics and Configurations for the Flowshop Problem via Meta-Learning: Analysis and Design.
BRACIS
Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam Regattieri Delgado