Intelligent Data Engineering and Automated Learning - IDEAL 2023

Networks.- Language Models for Automatic Distribution of Review Notes in Movie Production.- Extracting Knowledge from Incompletely Known Models.- Threshold-based Classification to Enhance Confidence in Open Set of Legal Texts.- Comparing ranking learning algorithms for information retrieval systems.- Analyzing the influence of market event correction for forecasting stock prices using Recurrent Neural Networks.- Measuring the relationship between the use of typical Manosphere discourse and the engagement of a user with the pick-up artist community .- Uniform Design of Experiments for Equality Constraints.- Globular Cluster Detection in M33 Using Multiple Views Representation Learning.- Segmentation of Brachial Plexus Ultrasound Images Based on Modified SegNet Model.- Unsupervised Online Event Ranking for IT Operations .- A Subgraph Embedded GIN with Attention for Graph Classification.- A Machine Learning Approach to Predict Cyclists' Functional Threshold Power.- Combining Regular Expressions and Supervised Algorithms for Clinical Text Classification.- MODELING THE INK TUNING PROCESS USING MACHINE LEARNING.- Depth and Width Adaption of DNN for Data Stream Classification with Concept Drifts*.- FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification.- Enhanced SVM-SMOTE with Cluster Consistency for Imbalanced Data Classification.- Preliminary Study on Unexploded Ordnance Classification in Underwater Environment Based on the Raw Magnetometry Data..- Efficient Model For Probabilistic Web resources under uncertainty.- Unlocking the Black Box: Towards Interactive Explainable Automated Machine Learning.- Machine Learning for Time Series Forecasting Using State Space Models.- Causal graph discovery for explainable insights on marine biotoxin shellfish contamination.- Special Session on Federated Learning and (pre) Aggregation in Machine Learning: Adaptative fuzzy measure for edge detection.- Special Session on Intelligent Techniques for Real-world Applications of Renewable Energy and Green Transport: Prediction and Uncertainty Estimation in Power Curves of Wind Turbines Using -SVR.- Glide Ratio Optimization for Wind Turbine Airfoils based on Genetic Algorithms.- Special Session on Data Selection in Machine Learning: Detecting Image Forgery Using Support Vector Machine and Texture Features.- Instance selection techniques for large volumes of data.