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.
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.
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.
Описание: 6th Workshop on "5G - Putting Intelligence to the Network Edge" (5G-PINE 2021).- 5G Communications as "Enabler" for Smart Power Grids: The Case of the Smart5Grid Project.- 5G-VICTORI: Future Railway Communications Requirements Driving 5G Deployments in Railways.- 5G-VICTORI: Optimizing Media Streaming in Mobile Environments using mmWave, NBMP and 5G Edge Computing.- A Novel Architectural Approach for the Provision of Scalable and Automated Network Slice Management, in 5G and Beyond.- A prototype 5G/IoT implementation for transforming a legacy facility to a Smart Factory.- Advanced first responders' services by using FASTER project Architectural Solution.- High mobility 5G services for vertical industries - network operator's view.- Machine Learning-Based, Networking and Computing Infrastructure Resource Management.- Power Control in 5G Heterogeneous Cells considering User Demands using Deep Reinforcement Learning.- The Challenge of Security Breaches in the Era of 5G Networking.- Top Challenges in 5G Densification.- TYPHON: Hybrid Data Lakes for Real-time Big Data Analytics - An Evaluation Framework in the Telecom Industry.- V2X Communications for the Support of GLOSA and Intelligent Intersection Applications.- Artificial Intelligence in Biomedical Engineering and Informatics Workshop (AI-BIO 2021).- A Machine Learning Approach for Recognition of Elders' Activities using Passive Sensors.- Analyzing Collective Knowledge towards Public Health Policy Making.- Evaluating mental patients utilizing video analysis of facial expressions.- An inception-based architecture for haemodialysis time series classification.- Workshop on Defense Applications of AI (DAAI 2021).- A Lipschitz - Shapley Explainable Defense Methodology Against Adversarial Attacks.- A Multimodal AI-leveraged Counter-UAV Framework for Diverse Environments.- Cyber attack detection and trust management toolkit for defence-related microgrids.- On the potential of SDN enabled network deployment in tactical environments.- Distributed AI for Resource - Constrained Platforms Workshop (DARE 2021).- A first sensitivity study of multi-object multi-camera tracking performance.- An Initial Analysis of the Shortcomings of Conventional AI and the Benefits of Distributed AI Approaches in Industrial Use Cases.- Distributed data compression for edge devices.- PFilter: Privacy-aware and secure data filtering at the edge for distributed edge analytics.- Towards a Distributed Learning Architecture for Securing ISP Home Customers.- Energy Efficiency and Artificial Intelligence Workshop (ΕΕΑΙ 2021).- A Recommendation Specific Human Activity Recognition Dataset with Mobile Device's Sensor Data.- Explainable needn't be (much) less accurate: evaluating an explainable AI dashboard for energy forecasting.- Improving Energy Efficiency in Tertiary Buildings through user-driven Recommendations delivered on optimal Micro-moments.- Semantic modeling of trustworthy IoT entities in energy-efficient cultural spaces.- Short Term Net Imbalance Volume Forecasting through Machine and Deep Learning: A UK case study.- 10th Mining Humanistic Data Workshop (MHDW 2021).- Community Detection Algorithms for Cultural and Natural Heritage Data in Social Networks.- Forecasting Air Flight Delays and Enabling Smart Airport Services in Apache Spark.- Movie Recommendation System based on Character Graph Embeddings.- Privacy-Preserving Text Labelling Through Crowdsourcing.- Recognition of epidemic cases in social web texts.- Active Bagging Ensemble Selection.- Applying Machine Learning to Predict Whether Learners will Start a MOOC after Initial Registration.- Self-supervised approach for Urban Tree Recognition on Aerial Images.- Visitor behavior analysis for an ancient Greek technology exhibition.
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.
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: This book constitutes the refereed proceedings of the 8th IFIP WG 2.14 European Conference on Service-Oriented and Cloud Computing, ESOCC 2020, held in Heraklion, Crete, Greece, in September 2020. The 6 full and 8 short papers presented in this volume were carefully reviewed and selected from 20 submissions.
Описание: This book constitutes the refereed post-conference proceedings of the 4th International Conference on Intelligence Science, ICIS 2020, held in Durgapur, India, in February 2021 (originally November 2020). The 23 full papers and 4 short papers presented were carefully reviewed and selected from 42 submissions.
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