Artificial intelligence and mobile s...
AIMS (Conference : Artificial Intelligence and Mobile Services) (2020 :)

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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 /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Artificial intelligence and mobile services - AIMS 2020/ edited by Ruifeng Xu ... [et al.].
    Reminder of title: 9th International Conference, held as part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020 : proceedings /
    remainder title: AIMS 2020
    other author: Xu, Ruifeng.
    corporate name: AIMS (Conference : Artificial Intelligence and Mobile Services)
    Published: Cham :Springer International Publishing : : 2020.,
    Description: xiv, 177 p. :ill., digital ;24 cm.
    [NT 15003449]: Research Track -- Infant Sound Classification on Multi-stage CNNs with Hybrid Features and Prior Knowledge -- Building Vector Representations for Candidates and Projects in a CV Recommender System -- Candidate Classification and Skill Recommendation in a CV Recommender System -- A Novel Method to Estimate Students' Knowledge Assessment -- Answer Selection Based on Mixed Embedding and Composite Features -- A Neural Framework for Chinese Medical Named Entity Recognition -- An Annotated Chinese Corpus for Rumor Veracity Detection -- Attention-based Asymmetric Fusion Network for Saliency Prediction in 3D Images -- Review Spam Detection Based on Multidimensional -- Application Track -- Rehabilitation XAI to Predict Outcome with Optimal Therapies -- A Mobile Application using Deep Learning to Automatically Classify Adult-only Images -- Short Paper Track -- OSAF_e: One-Stage Anchor Free Object Detection Method Considering Effective Area -- Attention-based Interaction Trajectory Prediction.
    Contained By: Springer Nature eBook
    Subject: Artificial intelligence - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-030-59605-7
    ISBN: 9783030596057
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