发布求助
文献互助 智能选刊 最新文献

Brazilian Conference on Intelligent Systems最新文献

筛选
英文 中文
An Incremental MaxSAT-Based Model to Learn Interpretable and Balanced Classification Rules 基于 MaxSAT 的增量模型学习可解释且平衡的分类规则
Brazilian Conference on Intelligent Systems Pub Date : 2024-03-25 DOI: 10.1007/978-3-031-45368-7_15
Antônio Carlos Souza Ferreira Júnior, Thiago Alves Rocha
{"title":"An Incremental MaxSAT-Based Model to Learn Interpretable and Balanced Classification Rules","authors":"Antônio Carlos Souza Ferreira Júnior, Thiago Alves Rocha","doi":"10.1007/978-3-031-45368-7_15","DOIUrl":"https://doi.org/10.1007/978-3-031-45368-7_15","url":null,"abstract":"","PeriodicalId":335206,"journal":{"name":"Brazilian Conference on Intelligent Systems","volume":" 52","pages":"227-242"},"PeriodicalIF":0.0,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140384944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Event Detection in Therapy Sessions for Children with Autism 自闭症儿童治疗过程中的事件检测
Brazilian Conference on Intelligent Systems Pub Date : 2023-05-03 DOI: 10.1007/978-3-031-21689-3_17
Guilherme O. Ribeiro, Alexandre Soli Soares, J. T. Carvalho, M. Grellert
{"title":"Event Detection in Therapy Sessions for Children with Autism","authors":"Guilherme O. Ribeiro, Alexandre Soli Soares, J. T. Carvalho, M. Grellert","doi":"10.1007/978-3-031-21689-3_17","DOIUrl":"https://doi.org/10.1007/978-3-031-21689-3_17","url":null,"abstract":"","PeriodicalId":335206,"journal":{"name":"Brazilian Conference on Intelligent Systems","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132936379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Augmenting a Physics-Informed Neural Network for the 2D Burgers Equation by Addition of Solution Data Points 通过增加解数据点来增强二维Burgers方程的物理信息神经网络
Brazilian Conference on Intelligent Systems Pub Date : 2023-01-18 DOI: 10.1007/978-3-031-21689-3_28
M. Mathias, Wesley P. de Almeida, Jefferson F. Coelho, L. P. Freitas, F. M. Moreno, Caio F. D. Netto, F. G. Cozman, A. H. R. Costa, E. Tannuri, E. Gomi, M. Dottori
{"title":"Augmenting a Physics-Informed Neural Network for the 2D Burgers Equation by Addition of Solution Data Points","authors":"M. Mathias, Wesley P. de Almeida, Jefferson F. Coelho, L. P. Freitas, F. M. Moreno, Caio F. D. Netto, F. G. Cozman, A. H. R. Costa, E. Tannuri, E. Gomi, M. Dottori","doi":"10.1007/978-3-031-21689-3_28","DOIUrl":"https://doi.org/10.1007/978-3-031-21689-3_28","url":null,"abstract":"","PeriodicalId":335206,"journal":{"name":"Brazilian Conference on Intelligent Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128847343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Single Image Super-Resolution Based on Capsule Neural Networks 基于胶囊神经网络的单幅图像超分辨率
Brazilian Conference on Intelligent Systems Pub Date : 2022-10-06 DOI: 10.48550/arXiv.2210.03743
George Correa de Ara'ujo, H. Pedrini
{"title":"Single Image Super-Resolution Based on Capsule Neural Networks","authors":"George Correa de Ara'ujo, H. Pedrini","doi":"10.48550/arXiv.2210.03743","DOIUrl":"https://doi.org/10.48550/arXiv.2210.03743","url":null,"abstract":"Single image super-resolution (SISR) is the process of obtaining one high-resolution version of a low-resolution image by increasing the number of pixels per unit area. This method has been actively investigated by the research community, due to the wide variety of real-world problems where it can be applied, from aerial and satellite imaging to compressed image and video enhancement. Despite the improvements achieved by deep learning in the field, the vast majority of the used networks are based on traditional convolutions, with the solutions focusing on going deeper and/or wider, and innovations coming from jointly employing successful concepts from other fields. In this work, we decided to step up from the traditional convolutions and adopt the concept of capsules. Since their overwhelming results both in image classification and segmentation problems, we question how suitable they are for SISR. We also verify that different solutions share most of their configurations, and argue that this trend leads to fewer explorations of network varieties. During our experiments, we check various strategies to improve results, ranging from new and different loss functions to changes in the capsule layers. Our network achieved good results with fewer convolutional-based layers, showing that capsules might be a concept worth applying in the image super-resolution problem.","PeriodicalId":335206,"journal":{"name":"Brazilian Conference on Intelligent Systems","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115162109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Extending the Universal Approximation Theorem for a Broad Class of Hypercomplex-Valued Neural Networks 推广一类广义超复值神经网络的普遍逼近定理
Brazilian Conference on Intelligent Systems Pub Date : 2022-09-06 DOI: 10.48550/arXiv.2209.02456
Wington L. Vital, Guilherme Vieira, M. E. Valle
{"title":"Extending the Universal Approximation Theorem for a Broad Class of Hypercomplex-Valued Neural Networks","authors":"Wington L. Vital, Guilherme Vieira, M. E. Valle","doi":"10.48550/arXiv.2209.02456","DOIUrl":"https://doi.org/10.48550/arXiv.2209.02456","url":null,"abstract":"The universal approximation theorem asserts that a single hidden layer neural network approximates continuous functions with any desired precision on compact sets. As an existential result, the universal approximation theorem supports the use of neural networks for various applications, including regression and classification tasks. The universal approximation theorem is not limited to real-valued neural networks but also holds for complex, quaternion, tessarines, and Clifford-valued neural networks. This paper extends the universal approximation theorem for a broad class of hypercomplex-valued neural networks. Precisely, we first introduce the concept of non-degenerate hypercomplex algebra. Complex numbers, quaternions, and tessarines are examples of non-degenerate hypercomplex algebras. Then, we state the universal approximation theorem for hypercomplex-valued neural networks defined on a non-degenerate algebra.","PeriodicalId":335206,"journal":{"name":"Brazilian Conference on Intelligent Systems","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114085104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network 基于深度神经网络的武器交战区最大发射距离估计
Brazilian Conference on Intelligent Systems Pub Date : 2021-11-04 DOI: 10.1007/978-3-030-91699-2_14
Joao P. A. Dantas, André N. Costa, Diego Geraldo, M. Maximo, T. Yoneyama
{"title":"Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network","authors":"Joao P. A. Dantas, André N. Costa, Diego Geraldo, M. Maximo, T. Yoneyama","doi":"10.1007/978-3-030-91699-2_14","DOIUrl":"https://doi.org/10.1007/978-3-030-91699-2_14","url":null,"abstract":"","PeriodicalId":335206,"journal":{"name":"Brazilian Conference on Intelligent Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131784462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
mRAT-SQL+GAP: A Portuguese Text-to-SQL Transformer mRAT-SQL+GAP:一个葡萄牙语文本到sql的转换器
Brazilian Conference on Intelligent Systems Pub Date : 2021-10-07 DOI: 10.1007/978-3-030-91699-2_35
M. A. Jos'e, Fabio Gagliardi Cozman
{"title":"mRAT-SQL+GAP: A Portuguese Text-to-SQL Transformer","authors":"M. A. Jos'e, Fabio Gagliardi Cozman","doi":"10.1007/978-3-030-91699-2_35","DOIUrl":"https://doi.org/10.1007/978-3-030-91699-2_35","url":null,"abstract":"","PeriodicalId":335206,"journal":{"name":"Brazilian Conference on Intelligent Systems","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125454131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Lackadaisical Quantum Walk in the Hypercube to Search for Multiple Marked Vertices 在超立方体中寻找多个标记点的非均匀量子行走
Brazilian Conference on Intelligent Systems Pub Date : 2021-08-20 DOI: 10.1007/978-3-030-91702-9_17
L. Souza, J. Carvalho, T. Ferreira
{"title":"Lackadaisical Quantum Walk in the Hypercube to Search for Multiple Marked Vertices","authors":"L. Souza, J. Carvalho, T. Ferreira","doi":"10.1007/978-3-030-91702-9_17","DOIUrl":"https://doi.org/10.1007/978-3-030-91702-9_17","url":null,"abstract":"","PeriodicalId":335206,"journal":{"name":"Brazilian Conference on Intelligent Systems","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115803889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Measuring Ethics in AI with AI: A Methodology and Dataset Construction 用人工智能衡量人工智能伦理:一种方法论和数据集构建
Brazilian Conference on Intelligent Systems Pub Date : 2021-07-26 DOI: 10.1007/978-3-031-21686-2_26
Pedro H. C. Avelar, Rafael B. Audibert, A. Tavares, L. Lamb
{"title":"Measuring Ethics in AI with AI: A Methodology and Dataset Construction","authors":"Pedro H. C. Avelar, Rafael B. Audibert, A. Tavares, L. Lamb","doi":"10.1007/978-3-031-21686-2_26","DOIUrl":"https://doi.org/10.1007/978-3-031-21686-2_26","url":null,"abstract":"","PeriodicalId":335206,"journal":{"name":"Brazilian Conference on Intelligent Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123461191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Least-Squares Linear Dilation-Erosion Regressor Trained Using a Convex-Concave Procedure 用凸凹法训练的最小二乘线性膨胀-侵蚀回归量
Brazilian Conference on Intelligent Systems Pub Date : 2021-07-12 DOI: 10.1007/978-3-031-21689-3_2
Angelica Lourencco Oliveira, M. E. Valle
{"title":"Least-Squares Linear Dilation-Erosion Regressor Trained Using a Convex-Concave Procedure","authors":"Angelica Lourencco Oliveira, M. E. Valle","doi":"10.1007/978-3-031-21689-3_2","DOIUrl":"https://doi.org/10.1007/978-3-031-21689-3_2","url":null,"abstract":"","PeriodicalId":335206,"journal":{"name":"Brazilian Conference on Intelligent Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132576453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信