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Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals.

, , , , , , , and . Artif. Intell. Res., 6 (1): 37-51 (2017)

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Thyroid Nodule Segmentation and Classification Using Deep Convolutional Neural Network and Rule-based Classifiers., , , , , , , , and . EMBC, page 3118-3121. IEEE, (2021)Sample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels., , , , , , , and . CoRR, (2021)Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals., , , , , , , and . Artif. Intell. Res., 6 (1): 37-51 (2017)SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting., , and . CoRR, (2021)Integrating User-Input into Deep Convolutional Neural Networks for Thyroid Nodule Segmentation., , , , , and . EMBC, page 2637-2640. IEEE, (2021)Soft Computing Techniques for Skills Assessment of Highly Qualified Personnel., , , , , , and . SOCO-CISIS-ICEUTE, volume 239 of Advances in Intelligent Systems and Computing, page 669-678. Springer, (2013)Semi-Counterfactual Risk Minimization Via Neural Networks., , , , and . CoRR, (2022)Finding Effective Ways to (Machine) Learn fMRI-Based Classifiers from Multi-site Data., and . MLCN/DLF/iMIMIC@MICCAI, volume 11038 of Lecture Notes in Computer Science, page 32-39. Springer, (2018)Sample efficient learning of image-based diagnostic classifiers via probabilistic labels., , , , , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 739-747. PMLR, (2021)Modeling and Forecasting COVID-19 Cases using Latent Subpopulations., , , and . CoRR, (2023)