Artificial intelligence XL : 43rd SGAI International Conference on Artificial Intelligence, AI 2023, Cambridge, UK, December 12-14, 2023, proceedings / Max Bramer, Frederic Stahl, editors.
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...
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Full Text (via Springer) |
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| Other Authors: | , |
| Other title: | AI 2023 |
| Format: | Electronic Conference Proceeding eBook |
| Language: | English |
| Published: |
Cham :
Springer,
[2023]
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| Series: | Lecture notes in computer science ;
14381. Lecture notes in computer science. Lecture notes in artificial intelligence. LNCS sublibrary. Artificial intelligence. |
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Table of Contents:
- 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.