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245 1 0 _aIntelligent Systems
_h[electronic resource] :
_b10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 - December 3, 2021, Proceedings, Part II /
_cedited by André Britto, Karina Valdivia Delgado.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXXIV, 632 p. 17 illus.
_bonline resource.
336 _atext
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337 _acomputer
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338 _aonline resource
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v13074
505 0 _a Multidisciplinary Artificial and Computational Intelligence and Applications -- A Heterogeneous Network-based Positive and Unlabeled Learning Approach to Detect Fake News -- Anomaly Detection in Brazilian Federal Government Purchase Cards Through Unsupervised Learning Techniques -- De-identification of Clinical Notes Using Contextualized Language Models and a Token Classifier -- Detecting Early Signs of Insufficiency in COVID-19 Patients from CBC Tests Through a Supervised Learning Approach -- Encoding Physical Conditioning from Inertial Sensors for Multi-step Heart Rate Estimation -- Ensemble of Protein Stability Upon Point Mutation Predictors -- Ethics of AI: Do the face detection models act with prejudice? -- Evaluating Topic Models in Portuguese Political Comments about Bills from Brazil's Chamber of Deputies -- Evaluation of Convolutional Neural Networks for COVID-19 Classification on Chest X-Rays -- Experiments on Portuguese Clinical QuestionAnswering -- Long-term Map Maintenance in Complex Environments -- Supervised Training of a Simple DIgital Assistant for a Free Crop Clinic -- The future of AI: neat or scruffy? -- Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network -- Neural Networks, Deep Learning and Computer Vision -- Code autocomplete using Transformers -- Deep Convolutional Features for Fingerprint Indexing -- How to Generate Synthetic Paintings to Improve Art Style Classification -- Iris-CV: Classifying Iris Flowers Is Not as Easy as You Thought -- Performance analysis of YOLOv3 for real-time detection of pests in soybeans -- Quaternion-Valued Convolutional Neural Network Applied for Acute Lymphoblastic Leukemia Diagnosis -- Sea State Estimation with Neural Networks based on the Motion of a Moored FPSO subjected to Campos Basin Metocean Conditions -- Time-Dependent Item Embeddings for Collaborative Filtering -- Transfer Learning of Shapelets for Time Series Classification Using Convolutional Neural Network -- Text Mining and Natural Language Processing -- A Deep Learning approach for Aspect Sentiment Triplet Extraction in Portuguese -- Aggressive Language Detection using VGCN-BERT for Spanish Texts -- An Empirical Study of Text Features for Identifying Subjective Sentences in Portuguese -- Comparing contextual embeddings for semantic textual similarity in Portuguese -- Deep Active-Self Learning Applied to Named Entity Recognition -- DEEPAGÉ: Answering Questions in Portuguese about the Brazilian Environment -- Enriching Portuguese Word Embeddings with Visual Information -- Entity Relation Extraction from News Articles in Portuguese for Competitive Intelligence based on BERT -- Experiments on Kaldi-based Forced Phonetic Alignment for Brazilian Portuguese -- Incorporating Text Specificity into a Convolutional Neural Network for the Classification of Review Perceived Helpfulness -- Joint Event Extraction with Contextualized Word Embeddings for the Portuguese Language -- mRAT-SQL+GAP: A Portuguese Text-to-SQL Transformer -- Named Entity Recognition for Brazilian Portuguese Product Titles -- Portuguese Neural Text Simplification using Machine Translation -- Rhetorical Role Identification for Portuguese Legal Documents -- Speech2Phone: A Novel and Efficient Method for Training Speaker Recognition Models -- Text Classification in Legal Documents Extracted from Lawsuits in Brazilian Courts -- Universal Dependencies-based PoS Tagging Refinement through Linguistic Resources -- When external knowledge does not aggregate in Named Entity Recognition. .
520 _aThe two-volume set LNAI 13073 and 13074 constitutes the proceedings of the 10th Brazilian Conference on Intelligent Systems, BRACIS 2021, held in São Paolo, Brazil, in November-December 2021. The total of 77 papers presented in these two volumes was carefully reviewed and selected from 192 submissions.The contributions are organized in the following topical sections: Part I: Agent and Multi-Agent Systems, Planning and Reinforcement Learning; Evolutionary Computation, Metaheuristics, Constrains and Search, Combinatorial and Numerical Optimization, Knowledge Representation, Logic and Fuzzy Systems; Machine Learning and Data Mining. Part II: Multidisciplinary Artificial and Computational Intelligence and Applications; Neural Networks, Deep Learning and Computer Vision; Text Mining and Natural Language Processing. Due to the COVID-2019 pandemic, BRACIS 2021 was held as a virtual event.
650 0 _aArtificial intelligence.
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650 0 _aImage processing
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650 0 _aComputer vision.
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650 0 _aComputer engineering.
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650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
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650 2 4 _aComputer Application in Social and Behavioral Sciences.
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650 2 4 _aComputers and Education.
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700 1 _aBritto, André.
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700 1 _aValdivia Delgado, Karina.
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