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Artificial intelligence and mobile services -- AIMS 2020 : 9th International Conference, held as part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020, Proceedings / Ruifeng Xu, Wang De, Wei Zhong, Ling Tian, Yongsheng Bai, Liang-Jie Zhang (eds.).

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 12401. | LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.Publication details: Cham, Switzerland : Springer, 2020.Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030596057
  • 3030596052
Other title:
  • AIMS 2020
Subject(s): Genre/Form: Additional physical formats: Print version:: Artificial intelligence and mobile services -- AIMS 2020.DDC classification:
  • 006.3 23
LOC classification:
  • Q334
Online resources:
Contents:
Intro -- Preface -- Organization -- Conference Sponsor -- Services Society Services Society (S2) is a nonprofit professional organization that has been created to promote worldwide research and technical collaboration in services innovation among academia and industrial professionals. Its members are volunteers from industry and academia with common interests. S2 is registered in the USA as a "501(c) organization," which means that it is an American tax-exempt nonprofit organization. S2 collaborates with other professional organiza -- About the Services Conference Federation (SCF) -- Contents
Research Track -- Infant Sound Classification on Multi-stage CNNs with Hybrid Features and Prior Knowledge -- 1 Introduction -- 2 Infant Sound Analysis and Hybrid Features -- 2.1 Infant Sound Analysis -- 2.2 Hybrid Features of Infant Sound -- 3 Multi-stage CNNs Model and Prior Knowledge Generation -- 3.1 Hybrid Feature Multi-stage CNNs Model -- 3.2 Prior Knowledge Generation -- 4 Experiments and Results -- 4.1 Datasets -- 4.2 Experimental Results -- 5 Conclusions -- References -- Building Vector Representations for Candidates and Projects in a CV Recommender System -- 1 Introduction
1.1 Recommender Systems -- 1.2 CV Recommender -- 2 Related Work -- 2.1 Job Recommendation -- 2.2 Latent Semantic Indexing -- 2.3 GloVe Representations -- 2.4 Recent NLP Models -- 2.5 Representations Index -- 3 Methods -- 3.1 Skill Extraction -- 3.2 Extracting LSI Features -- 3.3 Extracting GloVe Features -- 4 Evaluation -- 5 Conclusion -- References -- Candidate Classification and Skill Recommendation in a CV Recommender System -- 1 Introduction -- 1.1 Recommender Systems -- 1.2 CV Recommender -- 2 Related Work -- 2.1 Job Recommendation -- 2.2 Numeric Representations -- 2.3 Clustering Algorithms
3 Methods -- 3.1 Skill Extraction -- 3.2 Skill Clustering -- 3.3 Candidate Classification -- 3.4 Skill Recommendation -- 4 Evaluation -- 4.1 Candidate Classification -- 4.2 Skill Recommendation -- 5 Conclusion -- References -- A Novel Method to Estimate Students' Knowledge Assessment -- 1 Introduction -- 2 Related Studies and Background -- 3 Representation -- 4 Problem Definition and Solution -- 4.1 Problem Statement -- 4.2 Solution -- 5 Implementation and Validation -- 5.1 Experiment Overview -- 5.2 Validation Test and Analysis Results -- 6 Conclusion -- References
Answer Selection Based on Mixed Embedding and Composite Features -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Attention Based BiLSTM Model -- 3.2 Mixed Embedding -- 3.3 Composite Features -- 3.4 The Comprehensive Model -- 4 Experiments and Discussion -- 4.1 Dataset -- 4.2 Experimental Setup -- 4.3 Experimental Result -- 4.4 Discussion -- 5 Conclusions -- References -- A Neural Framework for Chinese Medical Named Entity Recognition -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Problem Definition -- 3.2 Model -- 4 Experiment -- 4.1 Experiment Setup -- 4.2 Results
Summary: This book constitutes the proceedings of the 9th International Conference on Artificial Intelligence and Mobile Services, AIMS 2020, held as part of SCF 2020, during September 18-20, 2020. The conference was planned to take place in Honolulu, HI, USA and was changed to a virtual format due to the COVID-19 pandemic. The 11 full and 2 short papers presented were carefully reviewed and selected from 42 submissions. They cover topics in AI Modeling, AI Analysis, AI and Mobile Applications, AI Architecture, AI Management, AI Engineering, Mobile backend as a service (MBaaS), User experience of AI and mobile services.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library eBook LNCS Available
Total holds: 0

International conference proceedings.

"To celebrate its18th birthday, SCF 2020 was held virtually during September 18-20, 2020"--Preface

Includes author index.

Online resource; title from PDF title page (SpringerLink, viewed November 5, 2020).

Intro -- Preface -- Organization -- Conference Sponsor -- Services Society Services Society (S2) is a nonprofit professional organization that has been created to promote worldwide research and technical collaboration in services innovation among academia and industrial professionals. Its members are volunteers from industry and academia with common interests. S2 is registered in the USA as a "501(c) organization," which means that it is an American tax-exempt nonprofit organization. S2 collaborates with other professional organiza -- About the Services Conference Federation (SCF) -- Contents

Research Track -- Infant Sound Classification on Multi-stage CNNs with Hybrid Features and Prior Knowledge -- 1 Introduction -- 2 Infant Sound Analysis and Hybrid Features -- 2.1 Infant Sound Analysis -- 2.2 Hybrid Features of Infant Sound -- 3 Multi-stage CNNs Model and Prior Knowledge Generation -- 3.1 Hybrid Feature Multi-stage CNNs Model -- 3.2 Prior Knowledge Generation -- 4 Experiments and Results -- 4.1 Datasets -- 4.2 Experimental Results -- 5 Conclusions -- References -- Building Vector Representations for Candidates and Projects in a CV Recommender System -- 1 Introduction

1.1 Recommender Systems -- 1.2 CV Recommender -- 2 Related Work -- 2.1 Job Recommendation -- 2.2 Latent Semantic Indexing -- 2.3 GloVe Representations -- 2.4 Recent NLP Models -- 2.5 Representations Index -- 3 Methods -- 3.1 Skill Extraction -- 3.2 Extracting LSI Features -- 3.3 Extracting GloVe Features -- 4 Evaluation -- 5 Conclusion -- References -- Candidate Classification and Skill Recommendation in a CV Recommender System -- 1 Introduction -- 1.1 Recommender Systems -- 1.2 CV Recommender -- 2 Related Work -- 2.1 Job Recommendation -- 2.2 Numeric Representations -- 2.3 Clustering Algorithms

3 Methods -- 3.1 Skill Extraction -- 3.2 Skill Clustering -- 3.3 Candidate Classification -- 3.4 Skill Recommendation -- 4 Evaluation -- 4.1 Candidate Classification -- 4.2 Skill Recommendation -- 5 Conclusion -- References -- A Novel Method to Estimate Students' Knowledge Assessment -- 1 Introduction -- 2 Related Studies and Background -- 3 Representation -- 4 Problem Definition and Solution -- 4.1 Problem Statement -- 4.2 Solution -- 5 Implementation and Validation -- 5.1 Experiment Overview -- 5.2 Validation Test and Analysis Results -- 6 Conclusion -- References

Answer Selection Based on Mixed Embedding and Composite Features -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Attention Based BiLSTM Model -- 3.2 Mixed Embedding -- 3.3 Composite Features -- 3.4 The Comprehensive Model -- 4 Experiments and Discussion -- 4.1 Dataset -- 4.2 Experimental Setup -- 4.3 Experimental Result -- 4.4 Discussion -- 5 Conclusions -- References -- A Neural Framework for Chinese Medical Named Entity Recognition -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Problem Definition -- 3.2 Model -- 4 Experiment -- 4.1 Experiment Setup -- 4.2 Results

This book constitutes the proceedings of the 9th International Conference on Artificial Intelligence and Mobile Services, AIMS 2020, held as part of SCF 2020, during September 18-20, 2020. The conference was planned to take place in Honolulu, HI, USA and was changed to a virtual format due to the COVID-19 pandemic. The 11 full and 2 short papers presented were carefully reviewed and selected from 42 submissions. They cover topics in AI Modeling, AI Analysis, AI and Mobile Applications, AI Architecture, AI Management, AI Engineering, Mobile backend as a service (MBaaS), User experience of AI and mobile services.

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