Progress in Artificial Intelligence and Pattern Recognition - Info and Reading Options
7th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2021, Havana, Cuba, October 5-7, 2021, Proceedings
By Yanio Hernández Heredia, Vladimir Milián Núñez and José Ruiz Shulcloper
"Progress in Artificial Intelligence and Pattern Recognition" was published by Springer International Publishing AG in 2021 - Cham, it has 1 pages and the language of the book is English.
“Progress in Artificial Intelligence and Pattern Recognition” Metadata:
- Title: ➤ Progress in Artificial Intelligence and Pattern Recognition
- Authors: Yanio Hernández HerediaVladimir Milián NúñezJosé Ruiz Shulcloper
- Language: English
- Number of Pages: 1
- Publisher: ➤ Springer International Publishing AG
- Publish Date: 2021
- Publish Location: Cham
“Progress in Artificial Intelligence and Pattern Recognition” Subjects and Themes:
- Subjects: Artificial intelligence - Pattern recognition systems
Edition Specifications:
- Pagination: xvi, 437
Edition Identifiers:
- The Open Library ID: OL35581547M - OL20813045W
- ISBN-13: 9783030896904 - 9783030896911
- All ISBNs: 9783030896904 - 9783030896911
AI-generated Review of “Progress in Artificial Intelligence and Pattern Recognition”:
"Progress in Artificial Intelligence and Pattern Recognition" Description:
Open Data:
Intro -- Preface -- Organization -- Contents -- Artificial Intelligence, Data Mining and Applications -- Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections -- 1 Introduction -- 2 LRP to Explain Multi-label Neural Networks -- 2.1 LRP -- 2.2 LRP in Multi-label Scenarios -- 3 Identifying COVID-19 Associated Coinfections -- 3.1 Dataset Under Consideration -- 3.2 Solution Based on Multi-label Neural Networks -- 3.3 Applying the LRPml Algorithm to the Proposed Neural Network -- 4 Concluding Remarks -- References -- A Machine Learning Based Approach for Estimation of the Lung Affectation Degree in CXR Images of COVID-19 Patients -- 1 Introduction -- 2 Related Works -- 3 Method for Automatic Estimation of Lung Affectation Degree by COVID-19 in CXR Images -- 3.1 Supervised Classification of the Lung Image and Calculation of the Index of Affectation -- 4 Experimental Results and Discussion -- 5 Conclusions and Future Work -- References -- Deep Neural Network to Detect Gender Violence on Mexican Tweets -- 1 Introduction -- 2 Related Work -- 3 Theoretical Framework -- 4 Methodology -- 5 Experimental Results and Discussion -- 6 Conclusions and Future Work -- References -- Consumer Price Index Forecasting Based on Univariate Time Series and a Deep Neural Network -- 1 Introduction -- 2 General Notation and State of the Art -- 2.1 LSTM in Time Series Forecasting -- 2.2 Conventional LSTM Architectures -- 3 Results and Discussion -- 4 Concluding Remarks and Further Work -- References -- Application of a Generalized Regression Neural Network to the Estimation of Average Gait Speed -- 1 Introduction -- 1.1 Inertial Measurement Unit (IMU) -- 2 Generalized Regression Neural Networks (GRNN) -- 2.1 Route Optimization Algorithm -- 3 Materials and Methods -- 4 Results and Discussion -- 5 Conclusions -- References
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