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Progress in Artificial Intelligence 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5–8, 2023, Proceedings, Part I

Aus der Reihe Lecture Notes in Computer Science

78,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

15.12.2023

Herausgeber

Nuno Moniz + weitere

Verlag

Springer

Seitenzahl

526

Maße (L/B/H)

23,5/15,5/3,1 cm

Gewicht

855 g

Auflage

1st ed. 2023

Sprache

Englisch

ISBN

978-3-031-49007-1

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

15.12.2023

Herausgeber

Verlag

Springer

Seitenzahl

526

Maße (L/B/H)

23,5/15,5/3,1 cm

Gewicht

855 g

Auflage

1st ed. 2023

Sprache

Englisch

ISBN

978-3-031-49007-1

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Progress in Artificial Intelligence
  • Produktbild: Progress in Artificial Intelligence
  • Ambient Intelligence and Affective Environments:   Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School.- Gamified CollectiveEyes: A Gamified Distributed Infrastructure for Collectively Sharing People’s Eyes.- Design and Development of Ontology for AI-based Software Systems to Manage the Food Intake and Energy Consumption of Obesity, Diabetes and Tube Feeding Patients.- A System for Animal Health Monitoring and Emotions Detection.-  Ethics and Responsibility in Artificial Intelligence:  A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics.- A Maturity Model for industries and organizations of all types to better adopt Responsible AI – preliminary results.-  Completeness of Datasets Documentation on ML/AI repositories: an Empirical Investigation.-  Navigating the landscape of AI ethics and responsibility.- Towards Interpretability in Fintech Applications via Knowledge Augmentation.-  General Artificial Intelligence:  Revisiting Deep Attention Recurrent Networks.- Pre-training with Augmentations for Efficient Transfer in Model-based Reinforcement Learning.- DyPrune: Dynamic pruning rates for neural networks.- Robustness Analysis of Machine Learning Models using Domain-Specific Test Data Perturbation.- Vocalization Features to Recognize Small Dolphin Species for Limited Datasets.- Covariance Kernel Learning Schemes for Gaussian Process Based Prediction using Markov Chain Monte Carlo.-  Intelligent Robotics:  A Review on Quadruped Manipulators.-  Knowledge Discovery and Business Intelligence:  Pollution Emission Patterns of Transportation in Porto, Portugal through Network Analysis.- Analysis of Dam Natural Frequencies Using a Convolutional Neural Network.- Imbalanced Regression Evaluation under Uncertain Domain Preferences.- Studying the impact of sampling in highly frequent time series.- Mining Causal Links Between TV Sports Content and Real-World Data.- Hybrid SkipAwareRec: A Streaming Music Recommendation System.- Interpreting What Is Important: An Explainability Approach And Study On Feature Selection.- Time-series pattern verification in CNC machining data.- Time-series pattern verification in CNC machining data.- Time-series pattern verification in CNC machining data.- Measuring latency-accuracy trade-offs in Convolutional Neural Networks.-  MultiAgent Systems: Theory and Applications:  Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance.- Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance.-  Natural Language Processing, Text Mining and Applications:  Topic Model with Contextual Outlier Handling: a Study on Electronic Invoice Product Descriptions.- Tweet2Story: Extracting Narratives From Twitter.- Argumentation Mining from Textual Documents Combining Deep Learning and Reasoning.- Event Extraction for Portuguese: A QA-driven Approach using ACE-2005.- Symbolic vs Deep Learning Techniques for Explainable Sentiment Analysis.- Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks.- Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks.-  OSPT: European Portuguese Paraphrastic Dataset with Machine Translation.- Task Conditioned BERT for Joint Intent Detection and Slot-filling.-  Planning, Scheduling and Decision-Making in AI:  Data-driven Single Machine Scheduling Minimizing Weighted Number of Tardy Jobs.- Heuristic Search Optimisation using Planning and Curriculum Learning Techniques.-  Social Simulation and Modelling:  Review of Agent-Based Evacuation Models in Python.