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

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期刊全称Advances in Soft Computing
期刊简称20th Mexican Interna
影响因子2023Ildar Batyrshin,Alexander Gelbukh,Grigori Sidorov
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学科分类Lecture Notes in Computer Science
图书封面Titlebook: Advances in Soft Computing; 20th Mexican Interna Ildar Batyrshin,Alexander Gelbukh,Grigori Sidorov Conference proceedings 2021 Springer Nat
影响因子The two-volume set LNAI 13067 and 13068 constitutes the proceedings of the 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, held in Mexico City, Mexico, in October 2021..The total of 58 papers presented in these two volumes was carefully reviewed and selected from  129 submissions...The first volume, Advances in Computational Intelligence, contains 30 papers structured..into three sections:..– Machine and Deep Learning.– Image Processing and Pattern Recognition..– Evolutionary and Metaheuristic Algorithms..The second volume, Advances in Soft Computing, contains 28 papers structured into two sections:..– Natural Language Processing..– Intelligent Applications and Robotics.
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Question Answering for Visual Navigation in Human-Centered Environmentsgation in human-centered environments. The dataset consists of images of various room scenes that were captured using the Habitat virtual environment and of questions important for navigation tasks using only visual information. We also propose a baseline for a HISNav VQA dataset, a Vector Semiotic
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Sentiment Analysis on Twitter About COVID-19 Vaccination in Mexico Mexico through several machine learning models such as Logistic Regression, Neuronal Network, Naive Bayes and Support Vector Machine. To prepare data, Natural Language Processing techniques were used such as tokenization, stemming, n-grams and stopwords. The best performance was achieved by Logisti
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Nahuatl Neural Machine Translation Using Attention Based Architectures: A Comparative Analysis for Rs still in research, especially with low-resource languages. The neoteric introduction of attention techniques inside the Natural Language Processing (NLP) field in coalescence with a broader disposal of word-segmentation and Web Scrapping techniques; including the lack of a proper online tool trans
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