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ORCID11th BRACIS 2022: Campinas, Brazil - Part II
- João Carlos Xavier Junior
, Ricardo Araújo Rios:
Intelligent Systems - 11th Brazilian Conference, BRACIS 2022, Campinas, Brazil, November 28 - December 1, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13654, Springer 2022, ISBN 978-3-031-21688-6 - Anderson Bottega da Silva, Eduardo Jaques Spinosa:
A Sequential Recommender System with Embeddings Based on GraphSage Aggregators. 1-15 - Angelica Lourenço Oliveira, Marcos Eduardo Valle:
Least-Squares Linear Dilation-Erosion Regressor Trained Using a Convex-Concave Procedure. 16-29 - Ângelo Gregório Lovatto, Leliane Nunes de Barros, Denis Deratani Mauá:
Exploration Versus Exploitation in Model-Based Reinforcement Learning: An Empirical Study. 30-44 - Arnaldo Vitor Barros da Silva, Luis Filipe Alves Pereira:
BoVW-CAM: Visual Explanation from Bag of Visual Words. 45-55 - Arthur Emanuel de Oliveira Carosia, Ana Estela Antunes da Silva, Guilherme Palermo Coelho:
Using BERT to Predict the Brazilian Stock Market. 56-70 - Bruno Belluzzo, Aparecido Nilceu Marana:
Human Action Recognition Based on 2D Poses and Skeleton Joints. 71-83 - Claudio Dornelles Mello Jr., Bryan Umpierre Moreira, Paulo Jefferson Dias de Oliveira Evald, Paulo Lilles Jorge Drews Junior, Silvia Silva da Costa Botelho:
Self-learning Methodology Based on Degradation Estimation for Underwater Image Enhancement. 84-95 - Daniel Eugênio Neves, Lucila Ishitani, Zenilton Kleber Gonçalves do Patrocínio Jr.:
When Less May Be More: Exploring Similarity to Improve Experience Replay. 96-110 - Daniel Ricardo dos Santos Jangua, Aparecido Nilceu Marana:
Human Identification Based on Gait and Soft Biometrics. 111-122 - David Macêdo, Pedro Dreyer, Teresa Bernarda Ludermir, Cleber Zanchettin:
Training Aware Sigmoidal Optimization. 123-138 - Davi Magalhães Pereira, Marcelo Bernardes Vieira, Saulo Moraes Villela:
Combining Neural Networks and a Color Classifier for Fire Detection. 139-153 - Davi Francisco Caetano dos Santos, Levy Boccato:
A Study of Emergency Siren Recognition on Resource-Constrained Devices. 154-168 - Diego Marques de Azevedo, Guilherme Souza Rodrigues, Marcelo Ladeira:
A Probabilistically-Oriented Analysis of the Performance of ASR Systems for Brazilian Radios and TVs. 169-180 - Felipe Rafael de Souza, Thiago Silva Miranda, Heder Soares Bernardino:
A Reward Function Using Image Processing for a Deep Reinforcement Learning Approach Applied to the Sonic the Hedgehog Game. 181-195 - Francisco Lucas Falcao Pereira, Raif C. B. Bucar, Felipe T. Brito, João Paulo Pordeus Gomes, Javam C. Machado:
Predicting Failures in HDDs with Deep NN and Irregularly-Sampled Data. 196-209 - Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias:
Protein Molecular Function Annotation Based on Transformer Embeddings. 210-220 - Guilherme Ocker Ribeiro, Alexandre Soli Soares, Jônata Tyska Carvalho, Mateus Grellert:
Event Detection in Therapy Sessions for Children with Autism. 221-235 - Igor Felipe de Camargo, Rodolfo Stoffel Antunes, Gabriel de Oliveira Ramos:
On Social Consensus Mechanisms for Federated Learning Aggregation. 236-250 - Igor Morgado, Luis-Gil Moreno-Jiménez, Juan-Manuel Torres-Moreno, Roseli Suzi Wedemann:
MegaLitePT: A Corpus of Literature in Portuguese for NLP. 251-265 - João Renato Ribeiro Manesco, Aparecido Nilceu Marana:
A Survey of Recent Advances on Two-Step 3D Human Pose Estimation. 266-281 - Leandro M. de Lima, Renato A. Krohling:
Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasets. 282-296 - Lia Sucupira Furtado, Leonardo Ferreira da Costa, Paulo Henrique Gonçalves Rocha, Paulo Antonio Leal Rego:
A Comparative Study of Federated Versus Centralized Learning for Time Series Prediction in IoT. 297-311 - Leonardo de Leon Dias, Emerson Alexandre de Oliveira Lima, João Fausto Lorenzato de Oliveira:
A Hybrid System with Nonlinear Combination for Wind Speed Forecasting. 312-327 - Levi S. Ramos Júnior, David Macêdo, Adriano L. I. Oliveira, Cleber Zanchettin:
Detecting Malicious HTTP Requests Without Log Parser Using RequestBERT-BiLSTM. 328-342 - Lucas M. Ceschini, Lucas Micol Policarpo, Rodrigo da Rosa Righi, Gabriel de Oliveira Ramos:
Aiding Glaucoma Diagnosis from the Automated Classification and Segmentation of Fundus Images. 343-356 - Lucas V. S. De Mamann, Daniel Fernando Pigatto, Myriam Regattieri Delgado:
Offline and Online Neural Network Learning in the Context of Smart Homes and Fog Computing. 357-372 - Luciano D. S. Pacífico, Larissa F. S. Britto, Teresa Bernarda Ludermir:
Improved Alternative Average Support Value for Automatic Ingredient Substitute Recommendation in Cooking Recipes. 373-387 - Marlon S. Mathias, Wesley P. de Almeida, Jefferson F. Coelho, Lucas P. de Freitas, Felipe M. Moreno, Caio F. D. Netto, Fábio Gagliardi Cozman, Anna Helena Reali Costa, Eduardo Aoun Tannuri, Edson S. Gomi, Marcelo Dottori:
Augmenting a Physics-Informed Neural Network for the 2D Burgers Equation by Addition of Solution Data Points. 388-401 - Matheus Westhelle, Luciana Bencke, Viviane P. Moreira:
Impact of Morphological Segmentation on Pre-trained Language Models. 402-416 - Moésio Wenceslau da Silva Filho, Gabriel A. Barbosa, Péricles B. C. de Miranda:
Learning Global Optimization by Deep Reinforcement Learning. 417-433 - Natalia Gil Canto, José Augusto Stuchi, Levy Boccato:
A Frequency Learning Approach Based on the Hartley Transform for Texture Classification. 434-448 - Nathan Gavenski, Juarez Monteiro, Adilson Medronha, Rodrigo C. Barros:
How Resilient Are Imitation Learning Methods to Sub-optimal Experts? 449-463 - Paulo Pirozelli, Anarosa A. F. Brandão, Sarajane M. Peres, Fábio Gagliardi Cozman:
To Answer or Not to Answer? Filtering Questions for QA Systems. 464-478 - Pedro H. Paiola, Gustavo H. de Rosa, João P. Papa:
Deep Learning-Based Abstractive Summarization for Brazilian Portuguese Texts. 479-493 - Pedro R. Pires, Tiago A. Almeida:
Interact2Vec: Neural Item and User Embedding for Collaborative Filtering. 494-509 - Pedro Silva, Eduardo Luz, Larissa Silva, Caio Gonçalves, Dênis Oliveira, Rodrigo Silva, Gladston Moreira:
Deep Learning-Based COVID-19 Screening Using Photographs of Chest X-Rays Displayed in Computer Monitors. 510-522 - Renato S. Maximiano, Valdivino Alexandre de Santiago Júnior, Elcio Hideiti Shiguemori:
Artificial Neural Networks to Analyze Energy Consumption and Temperature of UAV On-Board Computers Executing Algorithms for Object Detection. 523-538 - Renato Moraes Silva, Johannes V. Lochter, Tiago A. Almeida, Akebo Yamakami:
FastContext: Handling Out-of-Vocabulary Words Using the Word Structure and Context. 539-557 - Silas Santiago Lopes Pereira, José Everardo Bessa Maia:
A Wrapper Approach for Video Anomaly Detection Applying Light Gradient Boosting Machine in a Multiple Instance Learning Setting. 558-573 - Starch Melo de Souza, Kelly Pereira de Lima, Anthony José da Cunha Carneiro Lins, Adriano Fabio Querino de Brito, Paulo J. L. Adeodato:
PAN RAM Bootstrapping Regressor - A New RAM-Based Architecture for Regression Problems. 574-587 - Tamara A. Pereira, Erik Jhones F. do Nascimento, Diego Mesquita, Amauri H. Souza:
ConveXplainer for Graph Neural Networks. 588-600 - Thales Gonçalves, Luis Gustavo Nonato:
Extreme Learning Machine to Graph Convolutional Networks. 601-615 - Tiago Barbosa de Lima, Péricles B. C. de Miranda, Rafael Ferreira Mello, Moésio Wenceslau, Ig Ibert Bittencourt, Thiago Damasceno Cordeiro, Jário José:
Sequence Labeling Algorithms for Punctuation Restoration in Brazilian Portuguese Texts. 616-630 - Victor Alexandre Gomes Weil, João Batista Florindo:
Neural Architecture Search Applied to Hybrid Morphological Neural Networks. 631-645 - Wington L. Vital, Guilherme Vieira, Marcos Eduardo Valle:
Extending the Universal Approximation Theorem for a Broad Class of Hypercomplex-Valued Neural Networks. 646-660
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