Titlebook: Advances in Soft Computing; 20th Mexican Interna Ildar Batyrshin,Alexander Gelbukh,Grigori Sidorov Conference proceedings 2021 Springer Nat

jabber

concentrate

Model checking of persistent Petri nets,he data, we used eight classification algorithms. In conclusion, we highlight that the Logistic Regression, ExtraTrees, Random Forest, and Multi-layer Perceptron algorithms obtained results above 0.9 of F-score for both multi-class and binary classification.

Interstellar

Provability in TBLL: A decision procedure,trained FastText vectors for the target languages. This paper presents results for the English and Spanish language, however, our proposal can be easily extended to more than 100 languages. Additionally, we provide the first synthetically translated version of the TextCaps dataset for image captioning with reading comprehension.

outset

https://doi.org/10.1007/978-1-4471-3700-9BERTa, and a corpus of 5000 high-quality and automatically labeled highly-influential and non-influential tweets to train and classify tweets in these categories. Our method reaches an F1 of 0.873, improving  4 and  9 over approaches using LSTMs and n-grams respectively.

影响深远

Supervised Machine Learning for Automatic Assessment of Free-Text Answershe data, we used eight classification algorithms. In conclusion, we highlight that the Logistic Regression, ExtraTrees, Random Forest, and Multi-layer Perceptron algorithms obtained results above 0.9 of F-score for both multi-class and binary classification.

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