Format:
1 Online-Ressource(XXIV, 632 p. 17 illus.)
Edition:
1st ed. 2021.
ISBN:
9783030916992
Series Statement:
Lecture Notes in Artificial Intelligence 13074
Content:
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 Question Answering -- 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. .
Content:
The 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.
Additional Edition:
ISBN 9783030916985
Additional Edition:
ISBN 9783030917005
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9783030916985
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9783030917005
Language:
English
DOI:
10.1007/978-3-030-91699-2
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