Artificial Intelligence XL

43rd SGAI International Conference on Artificial Intelligence, AI 2023, Cambridge, UK, December 12¿14, 2023, Proceedings
Herausgegeben:Bramer, Max; Stahl, Frederic

• Broschiertes Buch

Produktbeschreibung

This book constitutes the refereed proceedings of the 43rd SGAI International Conference on Artificial Intelligence, AI 2023, held in Cambridge, UK, during December 12-14, 2023.

The 27 full papers and 20 short papers included in this book are carefully reviewed and selected from 67 submissions. They were organized in topical sections as follows: Technical Papers: Speech and Natural Language Analysis, Image Analysis, Neural Nets, Case Based Reasoning and Short Technical Papers. Application Papers: Machine Learning Applications, Machine Vision Applications, Knowledge Discovery and Data Mining Applications, other AI Applications and Short Application Papers.

Produktdetails

• Lecture Notes in Computer Science 14381
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-47993-9
• 1st ed. 2023
• Seitenzahl: 548
• Erscheinungstermin: 8. November 2023
• Englisch
• Abmessung: 235mm x 155mm x 30mm
• Gewicht: 820g
• ISBN-13: 9783031479939
• ISBN-10: 3031479939
• Artikelnr.: 69104276

Inhaltsangabe

Technical Papers.- On Explanations for Hybrid Artificial Intelligence (Best Technical Paper).- Speech and Natural Language Analysis.- Intermediate Task Ensembling for Sarcasm Detection.- Clinical Dialogue Transcription Error Correction with Self-supervision.- Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian.- Confidence Preservation Property in Knowledge Distillation Abstractions.- Image Analysis.- Exploring Optimal Configurations in Active Learning for Medical Imaging.- CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric.- A Contrastive Learning Scheme with Transformer Innate Patches.- Deep Despeckling of SAR Images to Improve Change Detection Performance.- Neural Nets.- Profiling Power Consumption for Deep Learning on Resource Limited Devices.- Towards Goal-Oriented Agents for Evolving Problems Observed via Conversation.- Case Based Reasoning.- Semi-Supervised Similarity Learning in Process-Oriented Case-Based Reasoning.- PertCF: A Perturbation-Based Counterfactual Generation Approach.- Short Technical Papers.- Speech Emotion Recognition using Deep Learning.- Distinct Sequential Models for Inference Boosting.- On Reproducible Implementations in Unsupervised Concept Drift Detection Algorithms Research.- Unveiling the Relationship between News Recommendation Algorithms and Media Bias: A Simulation-Based Analysis of the Evolution of Bias Prevalence.- A Novel State Space Exploration Method for the Sparse-Reward Reinforcement Learning Environment.- Optimal Manufacturing Controller Synthesis using Situation Calculus.- Predicting social Trust from Implicit Feedback.- A Neural Network Approach to Dragon Boat Partition Problem (Abstract).- Auditing AI Systems: A Metadata Approach.- Prospective Responsibility for Multi-Agent Systems.- Fighting Lies with Intelligence: Using Large Language Models and Chain of Thoughts Technique to Combat Fake News.- A Knowledge Rich Task Planning Framework for Human-Robot Collaboration.- Q-Learning: Solutions for Grid World Problem with Forward and Backward Reward Propagations.- Application Papers.- Explaining A Staff Rostering Problem By Mining Trajectory Variance Structures (Best Application Paper).- Machine Learning Applications.- Quantitative Approach of Geospatial Sentiment Analysis to Reveal Opinions on the War in Ukraine.- Solar Flare Forecasting Using Individual and Ensemble RNN Models.- Deep Reinforcement Learning for Continuous Control of Material Thickness.- SANTA: Semi-supervised Adversarial Network Threat and Anomaly Detection System.- Hybrid Dual-Resampling and Cost-Sensitive Classification for Credit Risk Prediction.- Machine Vision Applications.- ReFrogID: Pattern Recognition for Pool Frog Identification using Deep Learning and Feature Matching.- Cropline and Weed Detection in Corn Using Weak Supervision.- Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer`s Disease from MRI Images.- Knowledge Discovery and Data Mining Applications.- Heuristic Search of Heuristics.- Bias in Recommender Systems: Item Price Perspective.- Other AI Applications.- Automating Question Generation From Educational Text.- Comparison of Simulated Annealing and Evolution Strategies for Optimising Cyclical Rosters with Uneven Demand and Flexible Trainee Placement.- Interpreting NMR Spectra By Constraint Solving.- Short Application Papers.- On The Application of Feed-Forward Artificial Neural Networks to the Maritime Target Motion Analysis Problem.- Detecting Bias in University News Articles: A Comparative Study using BERT, GPT-3.5 and Google Bard Annotations.- Hybrid System for Prostate MR Image Segmentation Using Expert Knowledge and Machine Learning.- COVID-19 Liquor Sales Forecasting Model.- On The Development of a Candidate Selection System for Automated Plastic Waste Detection using Airborne Based Remote Sensing.- Estimations of Professional Experience with Panel Data to Improve Salary Predictions.- Goals and Stakeholder Involvement in XAI for Remote Sensing: A Structured Literature Review.