Buch, Englisch, Band 583, 466 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 904 g
Reihe: IFIP Advances in Information and Communication Technology
16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5¿7, 2020, Proceedings, Part I
Buch, Englisch, Band 583, 466 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 904 g
Reihe: IFIP Advances in Information and Communication Technology
ISBN: 978-3-030-49160-4
Verlag: Springer International Publishing
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.- ? 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.