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|a IFIP TC12 WG12.5--IFIP Conference on Artificial Intelligence Applications and Innovations
|n (16th :
|d 2020 :
|c Online)
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|a Artificial intelligence applications and innovations :
|b 16th IFIP WG 12. 5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5-7, 2020, Proceedings.
|n Part I /
|c Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis (eds.).
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|a AIAI 2020.
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|a Cham :
|b Springer,
|c 2020.
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|a 1 online resource (481 pages).
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|a IFIP Advances in Information and Communication Technology Ser. ;
|v v. 583.
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| 500 |
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|a International conference proceedings.
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|a Title page states location as Neos Marmaras, Greece, however, the preface states "The event was held during June 5-7, 2020, as a remote LIVE event with live presentations, a lot of interaction, and live Q & A sessions."
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|a Includes index.
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|a Print version record.
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|a This 2 volume-set of IFIP AICT 583 and 584 constitutes the refereed proceedings of the 16th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2020, held in Neos Marmaras, Greece, in June 2020.* The 70 full papers and 5 short papers presented were carefully reviewed and selected from 149 submissions. They cover a broad range of topics related to technical, legal, and ethical aspects of artificial intelligence systems and their applications and are organized in the following sections: Part I: classification; clustering - unsupervised learning -analytics; image processing; learning algorithms; neural network modeling; object tracking - object detection systems; ontologies - AI; and sentiment analysis - recommender systems. Part II: AI ethics - law; AI constraints; deep learning - LSTM; fuzzy algebra - fuzzy systems; machine learning; medical - health systems; and natural language. *The conference was held virtually due to the COVID-19 pandemic.
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|a Includes bibliographical references and author index.
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|a Google and Wit Automatic Speech Recognition Systems.- Clustering -- Unsupervised Learning -- Analytics.- A two-levels data anonymization approach.- An innovative graph-based approach to advance feature selection from multiple textual documents.- k-means Cluster Shape Implications.- Manifold learning for innovation funding: identification of potential funding recipients.- Network aggregation to enhance results derived from multiple analytics.- PolicyCLOUD: Analytics as a Service facilitating efficient data-driven public policy management.- Demand Forecasting of Short Life Cycle Products using Data Mining Techniques.- Image Processing.- Arbitrary Scale Super-Resolution for Brain MRI Images.- Knowledge-based fusion for image tampering localization.- Transfer Learning using Convolutional Neural Network Architectures for Brain Tumor Classification from MRI Images.- Learning Algorithms.- A Novel Learning Automata-based Strategy to Generate Melodies from Chordal Inputs.- Graph Neural Networks.
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|a To Advance Anticancer Drug Design.- Optimizing Self-Organizing Lists-on-Lists using Transitivity and Pursuit-Enhanced Object Partitioning.- Task-Projected Hyperdimensional Computing for Multi-Task Learning.- Neural Network Modeling.- Cross-domain Authorship Attribution Using Pre-trained Language Models.- Indoor Localization with Multi-Objective selection of Radiomap Models.- STDP Plasticity in TRN within Hierarchical Spike Timing Model of Visual Information Processing.- Tensor-based CUDA Optimization for ANN Inferencing using Parallel Acceleration on Embedded GPU.- The Random Neural Network in Price Predictions.- Object Tracking -- Object Detection Systems.- Joint Multi-Object Detection and Segmentation from an Untrimmed Video.- Robust 3D Detection in Traffic Scenario with Tracking-based Coupling System.- Ontologies -- AI.- Automated MeSH Indexing of Biomedical Literature using Contextualized Word Representations.- Knowledge-based Management and Reasoning on Cultural and Natural.
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|a Touristic Routes.- Ontological Foundations of Modelling Security Policies for Logical Analytics.- RDF reasoning on large ontologies: a study on cultural heritage and Wikidata.- Sentiment Analysis -- Recommender Systems.- A deep learning approach to aspect-based sentiment prediction.- On the reusability of sentiment analysis datasets in real-life applications.- Opinion Mining of Consumer Reviews Using Deep Neural Networks with Word-Sentiment Associations.- Sentiment Analysis on Movie Scripts and Reviews: Utilizing sentiment scores in rating prediction.- The MuseLearn platform: personalized content for museum visitors assisted by vision-based recognition and 3D pose estimation of exhibits.- Promoting Diversity in Content Based Recommendation using Feature Weighting and LSH.
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| 650 |
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|a Artificial intelligence
|v Congresses.
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|a Intelligence artificielle
|v Congrès.
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|a Application software.
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|a Artificial intelligence.
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|a Computer networks.
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|a Data mining.
|2 fast.
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|a Database management.
|2 fast.
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|a Information retrieval.
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|a Conference papers and proceedings.
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|a Actes de congrès.
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|a Maglogiannis, Ilias G.,
|e editor.
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|a Iliadis, Lazaros S.,
|e editor.
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|a Pimenidis, Elias,
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|a SpringerLink (Online service)
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|i Print version:
|a Maglogiannis, Ilias.
|t Artificial Intelligence Applications and Innovations : 16th IFIP WG 12. 5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5-7, 2020, Proceedings, Part I.
|d Cham : Springer International Publishing AG, ©2020
|z 9783030491604.
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