Ruxandra Stoean

Performance of a Novel Chaotic Firefly Algorithm with Enhanced Exploration for Tackling Global Optimization Problems: Application for Dropout Regularization

Nebojša Bačanin, Ruxandra Stoean, Miodrag Živković et al. · Mathematics · 2021 · 175 citations · Full text

Artificial Intelligence, Convolutional Neural Network, Global Optimization Problems +22

Multimodal Optimization by Means of a Topological Species Conservation Algorithm

Cătălin Stoean, Ruxandra Stoean, D. Dumitrescu · IEEE Transactions on Evolutionary Computation · 2010 · 135 citations

Engineering, Fitness, Evolutionary Algorithms +16

On the Benefits of Using Metaheuristics in the Hyperparameter Tuning of Deep Learning Models for Energy Load Forecasting

Nebojša Bačanin, Cătălin Stoean, Miodrag Živković et al. · Energies · 2023 · 111 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +22

Modeling medical decision making by support vector machines, explaining by rules of evolutionary algorithms with feature selection

Ruxandra Stoean, Cătălin Stoean · Expert Systems with Applications · 2012 · 96 citations

Evolutionary Data Mining, Support Vector Machine, Engineering +13

Metaheuristic-Based Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation

Cătălin Stoean, Miodrag Živković, Aleksandra Bozovic et al. · Axioms · 2023 · 84 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +17