- Knowledge Representation and NLP.- DELA: Dual Embedding Using LSTM and Attention for Asset Tag Inference in Industrial Automation Systems.- Combined Change Operators for Trust and Belief.- Highlighting Case Studies in LLM Literature Review of Interdisciplinary System Science.- Legal Judgment Prediction through Argument Analysis.- Conditional Prototypical Optimal Transport for Enhanced Clue Identification in Multiple Choice Question Answering.- REFINE on Scarce Data: Retrieval Enhancement through Fine-Tuning via Model Fusion of Embedding Models.- Leveraging LLM in Genetic Programming Hyper-Heuristics for Dynamic Microservice Deployment.

- Bidirectional Dependency Representation Disentanglement for Time Series Classification.- SCODA - A Framework for Software Capability Representation and Inspection.- Some Considerations for the Preservation of Endangered Languages Using Low-Resource Machine Translation.- Trustworthy and Explainable AI.- Improving Intersectional Group Fairness Using Conditional Generative Adversarial Network and Transfer Learning.- GPT-4 Attempting to Attack AI-Text Detectors.- Charting a Fair Path: FaGGM Fairness-aware Generative Graphical Models.- Shedding Light on Greenwashing: Explainable Machine Learning for Green Ad Detection.

- Beyond Factualism: A Study of LLM Calibration through the Lens of Conversational Emotion Recognition.- Ensuring Fairness in Stochastic Multi-Armed Bandit Problems for Effective Group Recommendations.- Human Decision-Making Concepts with Goal-Oriented Reasoning for Explainable Deep Reinforcement Learning.- Towards Explainable Deep Learning for Non-melanoma Skin Cancer Diagnosis.- Machine Learning and Data Mining.- Localization System Enhanced with CDLPE: A Low-Cost, Resilient Map-Matching Algorithm.- FocDepthFormer: Transformer with latent LSTM for Depth Estimation from Focal Stack.- TSI: A Multi-View Representation Learning Approach for Time Series Forecasting.

- Climate Downscaling Monthly Coastal Sea Surface Temperature Using Convolutional Neural Network and Composite Loss.- DBSSM: Deep BERT-based Semantic Skill Matching from Resumes to a Public Skill Taxonomy.- Designing an Adaptive AI System for Operation on Board the SpIRIT Nano-satellite.- LSTM Autoencoder-based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction.- An Improved Prescriptive Tree-based Model for Stochastic Parallel Machine Scheduling.- Economic Graph Lottery Ticket: A GNN based Economic Forecasting Model.- Pattern-based Trading by Continual Learning of Price and Volume Patterns.- An Experimental Study on Decomposition-Based Deep Ensemble Learning for Traffic Flow Forecasting.