Titlebook: Intelligent Systems; 10th Brazilian Confe André Britto,Karina Valdivia Delgado Conference proceedings 2021 Springer Nature Switzerland AG 2

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書(shū)目名稱(chēng)Intelligent Systems影響因子(影響力)




書(shū)目名稱(chēng)Intelligent Systems影響因子(影響力)學(xué)科排名




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書(shū)目名稱(chēng)Intelligent Systems讀者反饋學(xué)科排名

lipids

腐蝕

De-Identification of Clinical Notes Using Contextualized Language Models and a Token Classifieral language models provide a great improvement in Natural Language Processing (NLP) tasks, such as NER, when they are integrated with neural network methods. This paper evaluates the use of current state-of-the-art deep learning methods (Bi-LSTM-CRF) in the task of identifying patient names in clini

Neuralgia

Detecting Early Signs of Insufficiency in COVID-19 Patients from CBC Tests Through a Supervised Lear eventually rapidly progress to hepatic, renal or respiratory failures. Hence, a prompt and correct clinical decision not only is critical for patients prognosis, but also can help when making collective decisions regarding hospital resource management. In this work, we present a network-based high-

Affection

FLAX

讓步

Ethics of AI: Do the Face Detection Models Act with Prejudice?nalyses were performed on a real-world system designed to detect fraud in public transportation in Salvador (Brazil). Our experiments were conducted by taking into account three steps. Firstly, we individually analyzed a sample of images and added specific labels related to the users’ gender and rac

HACK

Evaluating Topic Models in Portuguese Political Comments About Bills from Brazil’s Chamber of Deputients produced within the past decade has risen dramatically, making it difficult for law practitioners to attend to legislation and still listen to the opinion of the citizens. This work focuses on the use of topic models for summarizing and visualizing Brazilian comments about legislation (bills).

intolerance

Locale