E-raamat: Intelligent Data Engineering and Automated Learning - IDEAL 2023: 24th International Conference, Evora, Portugal, November 22-24, 2023, Proceedings

Main Track: Optimization of Image Acquisition for Earth Observation
Satellites via Quantum Computing.-  Complexity-driven sampling for
Bagging.- A pseudo-label guided hybrid approach for unsupervised domain
adaptation.- Combining of Markov Random Field and Convolutional Neural
Networks for Hyper/Multispectral Image Classification.- Plant Disease
Detection and Classification using a Deep learning-based
framework.- Evaluating Text Classification in the Legal Domain Using BERT
Embeddings.- Rapid and Low-Cost Evaluation of Multi-Fidelity Scheduling
Algorithms for Hyperparameter Optimization.- The Applicability of Federated
Learning to Official Statistics.- Generating Wildfire Heat Maps with Twitter
and BERT.- An urban simulator integrated with a genetic algorithm for
efficient traffic light coordination.- GPU-Based Acceleration of the Rao
Optimization Algorithms: Application to the Solution of Large Systems of
Nonlinear Equations.- Direct determination of Operational Value-at-Risk using
Descriptive Statistics.- Using Deep Learning models to Predict the Electrical
Conductivity of the influent in a Wastewater Treatment Plant. -Unsupervised
Defect Detection for Infrastructure Inspection.- Generating Adversarial
Examples using LAD.- Emotion extraction from Likert-Scale questionnaires an
additional dimension to Psychology Instruments.- Recent applications of
pre-aggregation functions.- A Probabilistic Approach: Querying Web Resources
In The Presence Of Uncertainty.- Domain Adaptation in Transformer models:
Question Answering of Dutch Government Policies.- Sustainable On-Street
Parking Mapping with Deep Learning and Airborne Imagery.- Hebbian
Learning-Guided Random Walks for Enhanced Community Detection in
Correlation-Based Brain Networks.- Hebbian Learning-Guided Random Walks for
Enhanced Community Detection in Correlation-Based Brain 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.