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A Fast and Efficient Method for #2SAT via Graph Transformations.

, , , and . MICAI (1), volume 10632 of Lecture Notes in Computer Science, page 95-106. Springer, (2017)

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Use of Ensemble Based on GA for Imbalance Problem., , , and . ISNN (2), volume 5552 of Lecture Notes in Computer Science, page 547-554. Springer, (2009)Cost-Sensitive Neural Networks and Editing Techniques for Imbalance Problems., , , and . MCPR, volume 6256 of Lecture Notes in Computer Science, page 180-188. Springer, (2010)Comparative study of Genetic Algorithms and resampling methods for ensemble constructing., , and . IEEE Congress on Evolutionary Computation, page 4179-4183. IEEE, (2008)Artificial Neural Networks for COVID-19 Forecasting in Mexico: An Empirical Study., , , , , and . ICIC (1), volume 13393 of Lecture Notes in Computer Science, page 168-179. Springer, (2022)Empirical Analysis of Assessments Metrics for Multi-class Imbalance Learning on the Back-Propagation Context., , , , and . ICSI (2), volume 8795 of Lecture Notes in Computer Science, page 17-23. Springer, (2014)Combining Multiple Classifiers with Dynamic Weighted Voting., and . HAIS, volume 5572 of Lecture Notes in Computer Science, page 510-516. Springer, (2009)A Polynomial Time Algorithm for Counting the Number of Independent Sets of Cactus Graphs., , , and . MICAI (Special Session), page 106-110. IEEE Computer Society, (2016)Addressing the Big Data Multi-class Imbalance Problem with Oversampling and Deep Learning Neural Networks., , , , and . IbPRIA (1), volume 11867 of Lecture Notes in Computer Science, page 216-224. Springer, (2019)Influence of Resampling and Weighting on Diversity and Accuracy of Classifier Ensembles., , and . IbPRIA (2), volume 4478 of Lecture Notes in Computer Science, page 250-257. Springer, (2007)A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios., , , and . Pattern Recognit. Lett., 34 (4): 380-388 (2013)