Artificial Intelligence for Knowledge Management: 8th Ifip Wg 12.6 International Workshop, Ai4km 2021, Held at Ijcai 2020, Yokohama, Japan, January 7-, Mercier-Laurent Eunika, Kayalica M. Цzgьr, Owoc Mieczyslaw Lech
Описание: This book features a selection of extended papers presented at the 5th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2017, held in Melbourne, VIC, Australia, in August 2017, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2017.
Описание: This book constitutes extended, revised and selected papers from the 11th International Symposium of Artificial Intelligence supported by the Japanese Society for Artificial Intelligence, JSAI-isAI 2019.
Описание: This book constitutes the proceedings of the 17th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2020, held in Yokohama, Japan, in January 2021. The 10 full papers and 5 short papers included in this volume were carefully reviewed and selected from 28 initial submissions.
Описание: This book constitutes the refereed proceedings of the Second International Workshop on Human Brain and Artificial Intelligence, HBAI 2020, held in conjunction with IJCAI-PRICAI 2020, Kyoto, Japan, in January 2021.
AI4KM 2019: 7th International Workshop on Artificial Intelligence for Knowledge Management and Innovation.- FinNLP 2019: First International Workshop on Financial Technology and Natural Language Processing.- OR 2019: 32nd International Workshop on Qualitative Reasoning.- SURL 2019: Second International Workshop on Scaling-Up Reinforcement Learning.- First International Workshop on Bringing Semantic Knowledge into Vision and Text Understanding.- EASyHAT 2019: International Workshop on Evaluation of Adaptive Systems for Human-Autonomy Teaming.- ACAN 2019: 12th International Workshop on Agent-based Complex Automated Negotiations.- First International Workshop on Deep Learning for Human Activity Recognition.- HAI 2019: Second International Workshop on Humanizing AI.- Third International Workshop on Language Sense on Computer.- AISafety 2019: International Workshop on Artificial Intelligence Safety.- DeLBP 2019: 4th International Workshop on Declarative Learning Based Programming.
Описание: This book constitutes refereed proceedings of the Second International Workshop on Deep Learning for Human Activity Recognition, DL-HAR 2020, held in conjunction with IJCAI-PRICAI 2020, in Kyoto, Japan, in January 2021.
Описание: This book constitutes the refereed proceedings of the 17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021, held virtually and in Hersonissos, Crete, Greece, in June 2021. The 50 full papers and 11 short papers presented were carefully reviewed and selected from 113 submissions.
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.
5th Workshop on "5G-Putting Intelligence to the Network Edge" (5G-PINE 2020).- A Framework to Support the 5G Densification.- A new approach to 5G and MEC integration.- Business Aspects of the Neutral Host Model: The Immersive Video Services Case.- Combined 5G-based Video Production and Distribution in a Crowded Stadium Event.- Dynamic Network Slicing: Challenges and Opportunities.- Dynamic Resource Allocation and Computation Offloading for Edge Computing System.- Intelligent orchestration of end-to-end network slices for the allocation of mission critical services over NFV architectures.- On the Prediction of Future User Connections Based on Historical Records in Wireless Networks.- Programmable edge-to-cloud virtualization for 5G media industry: The 5G-MEDIA Approach.- Protocol Deployment for Employing Honeypot-as-a-Service.- Threat Landscape of Next Generation IoT-enabled Smart Grids.- Towards a Smart Port: The Role of the Telecom Industry.- 9th Mining Humanistic Data Workshop (MHDW 2020).- A Graph-based Extension for the Set-based Model Implementing Algorithms based on Important Nodes.- A Sentiment-Based Hotel Review Summarization using Machine Learning Techniques.- An advanced deep learning model for short-term forecasting U.S. natural gas price and movement.- Fake News Detection Regarding the Hong Kong Events from Tweets.- Improving Movie Recommendation Systems Filtering by Exploiting User-based Reviews.- The Converging Triangle Of Cultural Content, Cognitive Science, and Behavioral Economics.- Application and Algorithm: Maximal Motif Discovery for Biological Data in a Sliding Window.- Fingerprints Recognition System-Based on Mobile Device Identification using Circular String Pattern Matching Techniques.- Mining and Analysis of Air Quality data to aid Climate Change.
Описание: AI Ethics - Law.- The Ethos of Artificial Intelligence as a Legal Personality in a Globalized Space: Examining the Need to Overhaul the Post-Liberal Order.- Trustworthy AI Needs Unbiased Dictators!.- AI Constraints.- An Introduction of FD-Complete Constraints.- Backward-Forward Sequence Generative Network for Multiple Lexical Constraints.- Deep Learning - LSTM.- Deep Echo State Networks in Industrial Applications.- Deepbots: A Webots-based Deep Reinforcement Learning Framework for Robotics.- Innovative Deep Neural Network Fusion for Pairwise Translation Evaluation.- Introducing an edge-native deep learning platform for exergames.- Investigating the problem of cryptocurrency price prediction - A deep learning approach.- Regularized Evolution for Macro Neural Architecture Search.- Using Multimodal Contextual Process Information for the Supervised Detection of Connector Lock Events.- A machine learning model to detect speech and reading pathologies.- Forecasting Hazard Level Of Air Pollutants Using LSTM's.- Fuzzy Algebra - Fuzzy Systems.- Hypotheses tests using non-asymptotic fuzzy estimators and fuzzy critical values.- Preservation of the Exchange Principle via Lattice Operations on (S, N)- Implications.- Versatile Internet of Things for Agriculture: An eXplainable AI Approach.- Machine Learning.- Acoustic Resonance Testing of Glass IV Bottles.- AI based Real-Time Signal Reconstruction for Wind Farm with SCADA Sensor Failure.- Autonomous Navigation for Drone Swarms in GPS-Denied Environments using Structured Learning.- Chemical Laboratories 4.0: A Two-stage Machine Learning System for Predicting the Arrival of Samples.- Predicting Physical Properties of Woven Fabrics via Automated Machine Learning and Textile Design and Finishing Features.- Real-time Surf Manoeuvres' Detection Using Smartphones' Inertial Sensors.- SDN-enabled IoT Anomaly Detection using Ensemble Learning.- Harnessing Social Interactions on Twitter for Smart Transportation Using Machine Learning.- Medical - Health System.- An intelligent cloud-based platform for effective monitoring of patients with psychotic disorders.- Applying Deep Learning to Predicting Dementia and Mild Cognitive Impairment.- Bridging the Gap between AI and Healthcare Sides: Towards Developing Clinically Relevant AI-Powered Diagnosis Systems.- Know Yourself: An Adaptive Causal Network Model for Therapeutic Intervention for Regaining Cognitive Control.- Multi-omics data and analytics integration in ovarian cancer.- Overlap-based Undersampling Method for Classification of Imbalanced Medical Datasets.- Natural Language.- An Overview of Chatbot Technology.- Applying an Intelligent Personal Agent on a Smart Home using a Novel Dialogue Generator.- Exploring NLP and Information Extraction to jointly address Question Generation and Answering.- Hong Kong Protests: Using Natural Language Processing for Fake News Detection on Twitter.- On the Learnability of Concepts With Applications to Comparing Word EmbeddingAlgorithms.- Towards fashion recommendation: An AI system for clothing data retrieval and analysis.- Greek Lyrics Generation.
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.
Globalization - Understanding the correlations between attitudes towards globalization, time, resources and financial resources.- Integrated System for students' Evaluation Using KM Approach.- ICT Platform Design for SME Collaboration.- Platform for Knowledge Society and Innovation Ecosystems.- Measuring Successful Digital Services by identifying Active Users.- Effective management of information processes with CMS in Smart City. The concept of Crowdsourcing.- A Naming System for "The Internet of Things" adapted to industry - A case study in Electrical Engineering.- Augmented Learning and Data Filtering: Knowledge Management and Discovery.- AI Classification in Collaboration for Innovation of Electric Motors of Household Appliances.- A Note on Knowledge Management Education: Towards Implementing Active Learning Methods.- Intellect Modelling KIT.
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