Teresa B. Ludermir

Universidade Federal de Pernambuco — Brazil

Computer Science · Physical Sciences

42h-index6.9kcitations409works1.02yr avg
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Research Topics

Neural Networks and Applications(164), Metaheuristic Optimization Algorithms Research(77), Fuzzy Logic and Control Systems(57), Evolutionary Algorithms and Applications(43), Machine Learning and Data Classification(42)

Publications409 total

Grammar-based Evolutionary Approaches for Software Effort Estimation
2025· 2 cited
Data Balancing for Mitigating Sampling Bias in Machine Learning
2025
Network-based instance hardness measures for classification problems
2025
A Hybrid COMTE-LEFTIST Time-Series Explanation Method For a Time-series Classification Bitcoin Recommendation System
2024Open Access
Explainable AI For the Brazilian Stock Market Index: A Post-Hoc Approach to Deep Learning Models in Time-Series Forecasting
2024· 1 citedOpen Access
Sigmoidal learning rate optimizer for deep neural network training using a two-phase adaptation approach
Applied Soft Computing·2024· 2 cited
A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations
2024· 2 cited
Sigmoidal Learning Rate Optimizer for Deep Neural Network Training Using a Two-Phase Adaptation Approach
SSRN Electronic Journal·2024· 1 citedOpen Access
Previsão de Utilidade de Avaliações de Produtos Online na Língua Portuguesa Brasileira
2023Open Access
A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations
arXiv (Cornell University)·2023· 1 citedOpen Access
Configurable sublinear circuits for quantum state preparation
Quantum Information Processing·2023· 39 citedOpen Access
Out-of-the-box parameter control for evolutionary and swarm-based algorithms with distributed reinforcement learning
Swarm Intelligence·2023· 11 cited
Embarrassingly Parallel Independent Training of Multi-Layer Perceptrons with Heterogeneous Architectures
AI·2022· 1 citedOpen Access
Improving Group Search Optimization Through Local Search Heuristics for Automatic Data Clustering
2022Open Access
Automatic Recipe Ingredient Substitution Based on Text Mining and Data Clustering Approaches
2022Open Access
Combining PPO and incremental conductance for MPPT under dynamic shading and temperature
Applied Soft Computing·2022· 15 cited
Have we been Naive to Select Machine Learning Models? Noisy Data are here to Stay!
arXiv (Cornell University)·2022Open Access
Embarrassingly Parallel Independent Training of Multi-Layer Perceptrons with Heterogeneous Architectures
arXiv (Cornell University)·2022Open Access
Distinction Maximization Loss: Efficiently Improving Out-of-Distribution Detection and Uncertainty Estimation by Replacing the Loss and Calibrating
arXiv (Cornell University)·2022· 2 citedOpen Access
Towards a parameterless out-of-the-box population size control for evolutionary and swarm-based algorithms for single objective bound constrained real-parameter numerical optimization
Applied Soft Computing·2022· 2 cited
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Frequent Co-authors

Thália Velho Barreto de Araújo(7), Dušan Stošić(6), Sandra Valongueiro Alves(5), Darko Stošić(4), Tatijana Stošić(4), W. Oliveira(4), Ivan G. Costa(3), Alexander Schliep(3), Glyn Lewis(3), Cleber Zanchettin(3), Ricardo B. C. Prudêncio(3), Adenilton J. da Silva(3), Sandra Alves Valongueiro(2), Lília Blima Schraiber(2), Ana Flávia Pires Lucas d’Oliveira(2), Ivan França(2), Akio Yamazaki(2), Francisco de A.T. de Carvalho(2), Antônio P. Braga(2), André C. P. L. F. de Carvalho(2)