Intelligent Data Engineering and Automated Learning - IDEAL 2024

.- Quantitative Estimation of Reputation Risk.

.- Dissecting Data Practices in Android Apps: A Comparative Study of Data Collection and Sharing Behaviors.

.- Model-Based Meta-Reinforcement Learning for Hyperparameter Optimization.

.- Towards Sustainable Precision: Machine Learning for Laser Micromachining Optimization.

.- Association Rules Mining with Auto-Encoders.

.- Using Contrastive Learning to Map Stylistic Similarities in Narrative Writers.

.- Automatic classification of signal and noise in functional magnetic resonance imaging scans using convolutional neural networks.

.- How Resilient are Language Models to Text Perturbations?.

.- Emotional Sequential Influence Modeling on False Information.

.- CSSDH: An Ontology for Social Determinants of Health to Operational Continuity of Care Data Interoperability.

.- Padel two-dimensional tracking extraction from monocular video recordings.

.- Drowsiness Detection Using Vital Sign Sensors and Deep Learning on Smartwatches.

.- Benchmarking out of the box Open-Source LLMs for Malware Detection based on API Calls sequences.

.- Multimodal Visio-lingual Content Analysis to Detect Fake Content on Reddit.

.- MetaLIRS: Meta-learning for Imputation and Regression Selection.

.- Pipeline for Semantic Segmentation of Large Railway Point Clouds.

.- Preliminary Investigation on Machine Learning and Deep Learning Models for Change of Direction Classification in Running.

.- Efficient Radar Scheduling Using Genetic Algorithms and Stochastic Heuristic Initialization.

.- Towards a Communication Specification Language for Heterogeneous Service Orchestration based on Process Calculus and Holonic Multi-agent Systems.

.- Counterfactual Explanations for Sustainable Tourism Indicators.

.- Tracking Healthy Organs in Medical Scans to Improve Cancer Treatment by Using UW-Madison GI Tract Image Segmentation.

.- Low consumption models for disease diagnosis in isolated farms.

.- Fast and Scalable Recommendation Retrieval Model with Mixed Attention and Knowledge Distillation.

.- Federated Learning for Vietnamese SMS Spam Detection using Pre-Trained PhoBERT.

.- Deep Learning Inference on Edge: A Preliminary Device Comparison.

.- Causal Explanation of Graph Neural Networks.

.- The contribution of social sciences driven user studies to the development of human-centered artificial intelligence.

.- Towards Reliable Drift Detection and Explanation in Text Data.

.- Using Diffusion Models for Data Augmentation on Limited Rodent OCT Datasets.

.- Employing Explainable AI techniques for Air Pollution: An ante-hoc and post-hoc approach in dioxide nitrogen forecasting.

.- Predicting employee attrition in a multi-company setting.

.- A deep-learning approach for the identification of new subtypes of lung cancer .

.- Loss Function Role in Processing Sequences with Heavy-Tailed Distributions.

.- Cooperative-Competitive Decision-Making in Resource Management: A Reinforcement Learning Perspective.

.- Improving Speech Emotion Recognition: Novel Aggregation Strategies for Self-Supervised Features.

.- Refining Multiple Instance Learning with Attention Regularization for Whole Slide Image Classification.

.- Evaluating performance and trustworthiness of RAG systems for generating administrative text.

.- Blueprint of Tomorrow: Contrasting Off-line and On-line Drawing Tasks for Alzheimer's Disease Screening.

.- Digital Mental Health Apps: Key Features and User Engagement for Better Wellness.

.- Automatic PDF Document Classification with Machine Learning.

.- Contributions on Mixtures of Polynomials for Hybrid Bayesian Networks.

.- Age-unbiased Facial Emotion Recognition with Regularizing Self-attention Value Vector.

.- Assessing the Impact of Temporal Data Aggregation on the Reliability of Predictive Machine Learning Models.

.- Topic modeling in Telegram channels during the Russia-Ukraine conflict.

.- Structural and Semantic Data Layers in Time Series Analyses.