Cantitate/Preț
Produs
Total produse
Vezi coșul
Intelligent Systems de André Britto

Intelligent Systems: Lecture Notes in Computer Science, cartea 13074

Editat de André Britto, Karina Valdivia Delgado
en Limba Engleză Paperback – 28 noi 2021
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.

Citește tot Restrânge

Din seria Lecture Notes in Computer Science

Preț: 64210 lei

Preț vechi: 80263 lei
-20%

Puncte Express: 963
Paperback (2) de la 58295 lei

Carte tipărită la comandă

Livrare economică 13-27 iulie

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit pentru acest produs Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9783030916985
ISBN-10: 3030916987
Pagini: 656
Ilustrații: XXIV, 632 p. 17 illus.
Dimensiuni: 155 x 235 x 36 mm
Greutate: 0.98 kg
Ediția:1st edition 2021
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

 
 
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.