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 /: 9th International Conference, held as part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020, Proceedings. (2020)
- Record Type:
- Book
- Title:
- 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 /: 9th International Conference, held as part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020, Proceedings. (2020)
- Main Title:
- 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
- Other Titles:
- AIMS 2020
- Further Information:
- Note: Ruifeng Xu, Wang De, Wei Zhong, Ling Tian, Yongsheng Bai, Liang-Jie Zhang (eds.).
- Other Names:
- Xu, Ruifeng
De, Wang
Zhing, Wei
Tian, Ling
Bai, Yongsheng
Zhang, Liang-Jie
Services Conference Federation., Conference, (2020) (Online)
AIMS (Conference : Artificial Intelligence and Mobile Services), 9th - 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 --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 … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2020
- Extent:
- 1 online resource
- Subjects:
- 006.3
Artificial intelligence -- Congresses
Mobile computing -- Congresses
Information retrieval
Society & social sciences
Expert systems / knowledge-based systems
Image processing
Pattern recognition
Artificial intelligence
Computers -- Information Technology
Computers -- Data Processing
Computers -- Expert Systems
Computers -- Computer Graphics
Computers -- Computer Vision & Pattern Recognition
Computers -- Intelligence (AI) & Semantics
Electronic books
Electronic books - Languages:
- English
- ISBNs:
- 9783030596057
3030596052 - Related ISBNs:
- 3030596044
9783030596040 - Notes:
- Note: Online resource; title from PDF title page (SpringerLink, viewed November 5, 2020).
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- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Physical Locations:
- British Library HMNTS - ELD.DS.554401
- Ingest File:
- 03_175.xml