Artificial Intelligence Applications and Innovations
portes grátis
Artificial Intelligence Applications and Innovations
20th IFIP WG 12.5 International Conference, AIAI 2024, Corfu, Greece, June 27-30, 2024, Proceedings, Part IV
Avlonitis, Markos; Iliadis, Lazaros; Maglogiannis, Ilias; Papaleonidas, Antonios; Macintyre, John
Springer International Publishing AG
07/2024
390
Dura
9783031632228
Pré-lançamento - envio 15 a 20 dias após a sua edição
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.- Deep Sleep Recognition Based on CNNs and Data Augmentation.
.- Gamified Crowd Management Utilizing AR and Computer Vision on the Edge.
.- KeepOriginalAugment: Single Image-based Better Information-Preserving Data Augmentation Approach.
.- Using DCGANs and HOG+Patch-based CNN for Face Spoofing Mitigation.
.- Vertical Federated Image Segmentation.
.- A Machine Learning Approach for Points of Interest Extraction and Event Classification.
.- An Empirical Analysis of Data Reduction Techniques for k-NN Classification.
.- Controlling Popularity Bias in Sequential Recommendation Models.
.- Enhanced Item Recommendation via Graph Properties in Sparse Data.
.- Modeling the Air Conditioner Performance Tests using Artificial Neural Network Simulator (ANNS-AC).
.- Pattern Matching in Polyphonic Musical Sequences.
.- A Voting Approach for Explainable Classification with Rule Learning.
.- Dynamic Stacking Optimization in Unpredictable Environments : A Focus on Crane Scheduling.
.- FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations.
.- Optimizations for Learning from Linear Feedback Shift Register Variations with Artificial Neural Networks.
.- Path planning optimisation for multiple drones: Repositioning the Starting Point.
.- The Faculty Assignment Problem in Higher Education: A Shapley Value-based Approach.
.- A Multi-Scale Parallel Unsupervised Model For Multivariate Time Series Anomaly Detection.
.- Active Learning with Unfiltered Informativeness Technique for Object Detection.
.- Assist of AI in a Smart Learning Environment.
.- Finding Logical Vulnerability in Policies Using Three-Level Semantic Framework.
.- From Tweets to Reddit: Leveraging Semi-Supervised Domain Adaptation for Improving Data Filtering.
.- Retail store customer behavior analysis system: Design and Implementation.
.- A MARL-based Approach for Easing MAS Organization Engineering.
.- EVO: An Ontology for the Field of Electric Vehicles.
.- Incremental Conflict-based Search for Multi-agent Path Finding in Dynamic Environment.
.- Integrating LLMs in the engineering of a SAR ontology.
.- LFENav: LLM-based frontiers exploration for visual semantic navigation.
.- Gamified Crowd Management Utilizing AR and Computer Vision on the Edge.
.- KeepOriginalAugment: Single Image-based Better Information-Preserving Data Augmentation Approach.
.- Using DCGANs and HOG+Patch-based CNN for Face Spoofing Mitigation.
.- Vertical Federated Image Segmentation.
.- A Machine Learning Approach for Points of Interest Extraction and Event Classification.
.- An Empirical Analysis of Data Reduction Techniques for k-NN Classification.
.- Controlling Popularity Bias in Sequential Recommendation Models.
.- Enhanced Item Recommendation via Graph Properties in Sparse Data.
.- Modeling the Air Conditioner Performance Tests using Artificial Neural Network Simulator (ANNS-AC).
.- Pattern Matching in Polyphonic Musical Sequences.
.- A Voting Approach for Explainable Classification with Rule Learning.
.- Dynamic Stacking Optimization in Unpredictable Environments : A Focus on Crane Scheduling.
.- FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations.
.- Optimizations for Learning from Linear Feedback Shift Register Variations with Artificial Neural Networks.
.- Path planning optimisation for multiple drones: Repositioning the Starting Point.
.- The Faculty Assignment Problem in Higher Education: A Shapley Value-based Approach.
.- A Multi-Scale Parallel Unsupervised Model For Multivariate Time Series Anomaly Detection.
.- Active Learning with Unfiltered Informativeness Technique for Object Detection.
.- Assist of AI in a Smart Learning Environment.
.- Finding Logical Vulnerability in Policies Using Three-Level Semantic Framework.
.- From Tweets to Reddit: Leveraging Semi-Supervised Domain Adaptation for Improving Data Filtering.
.- Retail store customer behavior analysis system: Design and Implementation.
.- A MARL-based Approach for Easing MAS Organization Engineering.
.- EVO: An Ontology for the Field of Electric Vehicles.
.- Incremental Conflict-based Search for Multi-agent Path Finding in Dynamic Environment.
.- Integrating LLMs in the engineering of a SAR ontology.
.- LFENav: LLM-based frontiers exploration for visual semantic navigation.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Machine Learning;Anomaly Detection;Generative/Adversarial Neural Networks;Sentiment Analysis;Convolutional Neural Networks;Deep Learning;Biomedical;Fuzzy;Fuzzy Neural Networks;5G technologies;Recommendation systems;Bioinformatics;Big Data/AI;AI_Music composition;Semantic modeling;Image Analysis;Text Mining;Autoencoders;Robotics;Natural Language
.- Deep Sleep Recognition Based on CNNs and Data Augmentation.
.- Gamified Crowd Management Utilizing AR and Computer Vision on the Edge.
.- KeepOriginalAugment: Single Image-based Better Information-Preserving Data Augmentation Approach.
.- Using DCGANs and HOG+Patch-based CNN for Face Spoofing Mitigation.
.- Vertical Federated Image Segmentation.
.- A Machine Learning Approach for Points of Interest Extraction and Event Classification.
.- An Empirical Analysis of Data Reduction Techniques for k-NN Classification.
.- Controlling Popularity Bias in Sequential Recommendation Models.
.- Enhanced Item Recommendation via Graph Properties in Sparse Data.
.- Modeling the Air Conditioner Performance Tests using Artificial Neural Network Simulator (ANNS-AC).
.- Pattern Matching in Polyphonic Musical Sequences.
.- A Voting Approach for Explainable Classification with Rule Learning.
.- Dynamic Stacking Optimization in Unpredictable Environments : A Focus on Crane Scheduling.
.- FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations.
.- Optimizations for Learning from Linear Feedback Shift Register Variations with Artificial Neural Networks.
.- Path planning optimisation for multiple drones: Repositioning the Starting Point.
.- The Faculty Assignment Problem in Higher Education: A Shapley Value-based Approach.
.- A Multi-Scale Parallel Unsupervised Model For Multivariate Time Series Anomaly Detection.
.- Active Learning with Unfiltered Informativeness Technique for Object Detection.
.- Assist of AI in a Smart Learning Environment.
.- Finding Logical Vulnerability in Policies Using Three-Level Semantic Framework.
.- From Tweets to Reddit: Leveraging Semi-Supervised Domain Adaptation for Improving Data Filtering.
.- Retail store customer behavior analysis system: Design and Implementation.
.- A MARL-based Approach for Easing MAS Organization Engineering.
.- EVO: An Ontology for the Field of Electric Vehicles.
.- Incremental Conflict-based Search for Multi-agent Path Finding in Dynamic Environment.
.- Integrating LLMs in the engineering of a SAR ontology.
.- LFENav: LLM-based frontiers exploration for visual semantic navigation.
.- Gamified Crowd Management Utilizing AR and Computer Vision on the Edge.
.- KeepOriginalAugment: Single Image-based Better Information-Preserving Data Augmentation Approach.
.- Using DCGANs and HOG+Patch-based CNN for Face Spoofing Mitigation.
.- Vertical Federated Image Segmentation.
.- A Machine Learning Approach for Points of Interest Extraction and Event Classification.
.- An Empirical Analysis of Data Reduction Techniques for k-NN Classification.
.- Controlling Popularity Bias in Sequential Recommendation Models.
.- Enhanced Item Recommendation via Graph Properties in Sparse Data.
.- Modeling the Air Conditioner Performance Tests using Artificial Neural Network Simulator (ANNS-AC).
.- Pattern Matching in Polyphonic Musical Sequences.
.- A Voting Approach for Explainable Classification with Rule Learning.
.- Dynamic Stacking Optimization in Unpredictable Environments : A Focus on Crane Scheduling.
.- FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations.
.- Optimizations for Learning from Linear Feedback Shift Register Variations with Artificial Neural Networks.
.- Path planning optimisation for multiple drones: Repositioning the Starting Point.
.- The Faculty Assignment Problem in Higher Education: A Shapley Value-based Approach.
.- A Multi-Scale Parallel Unsupervised Model For Multivariate Time Series Anomaly Detection.
.- Active Learning with Unfiltered Informativeness Technique for Object Detection.
.- Assist of AI in a Smart Learning Environment.
.- Finding Logical Vulnerability in Policies Using Three-Level Semantic Framework.
.- From Tweets to Reddit: Leveraging Semi-Supervised Domain Adaptation for Improving Data Filtering.
.- Retail store customer behavior analysis system: Design and Implementation.
.- A MARL-based Approach for Easing MAS Organization Engineering.
.- EVO: An Ontology for the Field of Electric Vehicles.
.- Incremental Conflict-based Search for Multi-agent Path Finding in Dynamic Environment.
.- Integrating LLMs in the engineering of a SAR ontology.
.- LFENav: LLM-based frontiers exploration for visual semantic navigation.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Machine Learning;Anomaly Detection;Generative/Adversarial Neural Networks;Sentiment Analysis;Convolutional Neural Networks;Deep Learning;Biomedical;Fuzzy;Fuzzy Neural Networks;5G technologies;Recommendation systems;Bioinformatics;Big Data/AI;AI_Music composition;Semantic modeling;Image Analysis;Text Mining;Autoencoders;Robotics;Natural Language
