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

涂掉

Model checking of persistent Petri nets,select various assessment instruments that enable the verification of learning evolution. Considering that a more significant number of evaluation instruments and modalities increase the teachers’ workload, the adoption of machine learning might support the assessing actions and amplify the potentia

不在灌木丛中

Provability in TBLL: A decision procedure,the problem from a bilingual approach. The design of image captioning systems that can read, and, also work with different languages involves problems from a great variety of natures. In this work, we propose ., a bilingual architecture that can be easily trained with different languages with minor

偏离

There Exist Some ,-Powers of Any Borel Rankgation 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

佛刊

档案

有杂色

显赫的人

Campaign

Tatiana Makarovskikh,Mostafa Abotaleb 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

口味

Computing the Death Rate of COVID-19,speech signal, that is, regardless the words uttered by the speaker. This problem is harder than Text-dependent speaker recognition where the speaker has to utter some specific word or phrase so he/she can be recognized. However, Text-Independent Speaker Identification is what we have to solve when

镇压

Artificial life and real world computing,s 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