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001440719 020__ $$a9783030898175$$q(electronic bk.)
001440719 020__ $$a3030898172$$q(electronic bk.)
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001440719 0247_ $$a10.1007/978-3-030-89817-5$$2doi
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001440719 049__ $$aISEA
001440719 050_4 $$aQ334
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001440719 1112_ $$aMexican International Conference on Artificial Intelligence$$n(20th :$$d2021 :$$cMexico City, Mexico)
001440719 24510 $$aAdvances in computational intelligence :$$b20th Mexican International Conference on Artificial Intelligence, MICAI 2021, Mexico City, Mexico, October 25-30, 2021, Proceedings.$$nPart I /$$cIldar Batyrshin, Alexander Gelbukh, Grigori Sidorov (eds.).
001440719 2463_ $$aMICAI 2021
001440719 260__ $$aCham :$$bSpringer,$$c2021.
001440719 300__ $$a1 online resource (433 pages)
001440719 336__ $$atext$$btxt$$2rdacontent
001440719 337__ $$acomputer$$bc$$2rdamedia
001440719 338__ $$aonline resource$$bcr$$2rdacarrier
001440719 347__ $$atext file
001440719 347__ $$bPDF
001440719 4901_ $$aLecture notes in artificial intelligence
001440719 4901_ $$aLecture notes in computer science ;$$v13067
001440719 4901_ $$aLNCS sublibrary: SL 7, Artificial intelligence
001440719 500__ $$a6.1 Experimental Setup.
001440719 500__ $$aIncludes author index.
001440719 504__ $$aReferences-RiskIPN: Pavement Risk Database for Segmentation with Deep Learning-1 Introduction-2 Databases-2.1 Previous Datasets-2.2 RisksIPN-3 Segmentation Deep Model-4 Experiments and Results-4.1 Preprocessing-4.2 Training-5 Conclusion-References-A Comparative Study on Approaches to Acoustic Scene Classification Using CNNs-1 Introduction-2 Related Work-3 Methodology-3.1 Data Organization and Collection-3.2 Data Augmentation-3.3 Feature Representations-3.4 Development of CNNs-4 Results and Evaluation-5 Conclusion-References.
001440719 5050_ $$aIntro -- Preface -- Conference Organization -- Contents -- Part I -- Contents -- Part II -- Machine and Deep Learning -- Identifying Optimal Clusters in Purchase Transaction Data -- 1 Introduction -- 2 Clustering Taxonomies -- 3 Cluster Validity Indices -- 4 Data Complexity Measures -- 5 Data Sets and Experimental Methodology -- 6 Results and Discussions -- 7 Conclusions -- A Appendix -- References -- Artificial Organic Networks Approach Applied to the Index Tracking Problem -- 1 Introduction -- 1.1 Objectives and Limitations -- 2 The Proposed Approach -- 2.1 AON Properties
001440719 5058_ $$a2.2 Artificial Hydrocarbon Networks Algorithm -- 3 Implementation Considerations -- 3.1 System Identification -- 3.2 Target Function Mathematical Formulation -- 3.3 Financial Analysis and Strategy -- 4 Preliminary Results -- 4.1 Experiment 1: Establishing a Regression -- 4.2 Experiment 2: Comparing MNLR Performance Vs. Other ML Techniques. -- 4.3 Experiment Three: Buy-and-Hold Strategy -- 4.4 Experiment 4: A Hybrid K-Means with AHN Algorithm -- 5 Conclusions and Future Work -- References -- Supervised Learning Approach for Section Title Detection in PDF Scientific Articles -- 1 Introduction
001440719 5058_ $$a2 Related Works -- 3 Methodology -- 3.1 Dataset Creation -- 3.2 Classifiers Training and Testing -- 4 Results -- 5 Conclusion -- References -- Real-Time Mexican Sign Language Interpretation Using CNN and HMM -- 1 Introduction -- 2 Related Work -- 2.1 Methods -- 2.2 Techniques -- 2.3 Works About MSL in Mexico -- 3 Proposal -- 4 Dataset -- 4.1 Description -- 4.2 Participants -- 4.3 Data Acquisition -- 4.4 Dataset Standardization -- 5 Experiments and Results -- 5.1 Training -- 5.2 Results Experiment 1: Focus on Isolated Words -- 5.3 Results Experiment 2: Focus on Sentences -- 6 Conclusions
001440719 5058_ $$aMeasuring the Effect of Categorical Encoders in Machine Learning Tasks Using Synthetic Data -- 1 Introduction -- 2 General Methodology -- 2.1 Real-World Datasets -- 2.2 Synthetic Datasets -- 3 Experimental Results -- 3.1 Real-World Dataset -- 3.2 Synthetic-Datasets -- 4 Conclusions -- Appendix -- References -- Long-Term Exploration in Persistent MDPs -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Markov Decision Processes -- 3.2 Persistent MDPs -- 4 Exploration via State Space Clustering -- 4.1 Similarity Model -- 4.2 Graph of Clusters -- 5 The Prince of Persia Domain -- 6 Experiments
001440719 506__ $$aAccess limited to authorized users.
001440719 520__ $$aThe two-volume set LNAI 13067 and 13068 constitutes the proceedings of the 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, held in Mexico City, Mexico, in October 2021. The total of 58 papers presented in these two volumes was carefully reviewed and selected from 129 submissions. The first volume, Advances in Computational Intelligence, contains 30 papers structured into three sections: Machine and Deep Learning Image Processing and Pattern Recognition Evolutionary and Metaheuristic Algorithms The second volume, Advances in Soft Computing, contains 28 papers structured into two sections: Natural Language Processing Intelligent Applications and Robotics.
001440719 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 3, 2021).
001440719 650_0 $$aArtificial intelligence$$vCongresses.
001440719 650_6 $$aIntelligence artificielle$$vCongrès.
001440719 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001440719 655_7 $$aConference papers and proceedings.$$2lcgft
001440719 655_7 $$aActes de congrès.$$2rvmgf
001440719 655_0 $$aElectronic books.
001440719 7001_ $$aBatyrshin, Ildar.
001440719 7001_ $$aGelbukh, Alexander,$$d1962-
001440719 7001_ $$aSidorov, Grigori.
001440719 77608 $$iPrint version:$$aBatyrshin, Ildar.$$tAdvances in Computational Intelligence.$$dCham : Springer International Publishing AG, ©2021$$z9783030898168
001440719 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
001440719 830_0 $$aLecture notes in computer science ;$$v13067.
001440719 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001440719 852__ $$bebk
001440719 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-89817-5$$zOnline Access$$91397441.1
001440719 909CO $$ooai:library.usi.edu:1440719$$pGLOBAL_SET
001440719 980__ $$aBIB
001440719 980__ $$aEBOOK
001440719 982__ $$aEbook
001440719 983__ $$aOnline
001440719 994__ $$a92$$bISE