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Produktbild: Artificial Intelligence Applications and Innovations

Artificial Intelligence Applications and Innovations 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part I

Aus der Reihe IFIP Advances in Information and Communication Technology

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.05.2021

Herausgeber

Ilias Maglogiannis + weitere

Verlag

Springer

Seitenzahl

466

Maße (L/B/H)

23,5/15,5/2,6 cm

Auflage

1st ed. 2020

Sprache

Englisch

ISBN

978-3-030-49163-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.05.2021

Herausgeber

Verlag

Springer

Seitenzahl

466

Maße (L/B/H)

23,5/15,5/2,6 cm

Auflage

1st ed. 2020

Sprache

Englisch

ISBN

978-3-030-49163-5

Herstelleradresse

Springer Nature Customer Service Center GmbH
Europaplatz 3
69115 Heidelberg
DE
ProductSafety@springernature.com

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  • Produktbild: Artificial Intelligence Applications and Innovations

  • Classification.- An Adaptive Approach on Credit Card Fraud Detection using Transaction Aggregation and Word Embeddings.- Boosted Ensemble Learning for Anomaly Detection in 5G RAN.- Machine Learning for Cognitive Load Classification – a Case Study on Contact-free Approach.- Real-time prediction of online shoppers' purchasing intention using random forest.- Using Classification for Traffic Prediction in Smart Cities.- Using Twitter to Predict Chart Position for Songs.- Α Benchmarking of IBM, 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 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 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.