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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.

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