output
20192026
most citedWhat Skills do IT Companies look for in New Developers? A Study with Stack Overflow Jobs

65 citations

researchers with a paper here
collaborating institutions

19 papers

cond-mat.stat-mech2026

Experimental Kuramoto Platform

Leandro Freitas, Victor H. S. Bittencourt, Débora D. Superbi +3

Phase reduction provides a principled relationship between high-dimensional oscillator dynamics and low-dimensional phase models such as the Kuramoto model. However, connecting ana…

cs.LG2026

Modeling Programming Skills with Source Code Embeddings for Context-aware Exercise Recommendation

Carlos Eduardo P. Silva, João Pedro M. Sena, Julio C. S. Reis +2

In this paper, we propose a context-aware recommender system that models students' programming skills using embeddings of the source code they submit throughout a course. These emb…

cs.LG2025

"A 6 or a 9?": Ensemble Learning Through the Multiplicity of Performant Models and Explanations

Gianlucca Zuin, Adriano Veloso

Creating models from past observations and ensuring their effectiveness on new data is the essence of machine learning. However, selecting models that generalize well remains a cha…

cs.NE2025

Enhancing Decision Space Diversity in Multi-Objective Evolutionary Optimization for the Diet Problem

Gustavo V. Nascimento, Ivan R. Meneghini, Valéria Santos +2

Multi-objective evolutionary algorithms (MOEAs) are essential for solving complex optimization problems, such as the diet problem, where balancing conflicting objectives, like cost…

math.DS2025

Almost reducibility, distortion and local perfection for diffeomorphisms of one-manifolds

Hélène Eynard-Bontemps, Emmanuel Militon

In this article, we characterize the distortion elements of the group of smooth diffeomorphisms of the circle and of the group of compactly supported smooth diffeomorphisms of the…

math.OC2025

Maximum Dispersion, Maximum Concentration: Enhancing the Quality of MOP Solutions

Gladston Moreira, Ivan Meneghini, Elizabeth Wanner

Multi-objective optimization problems (MOPs) often require a trade-off between conflicting objectives, maximizing diversity and convergence in the objective space. This study prese…