Intelligent Data Engineering and Automated Learning - IDEAL 2023 [E-Book] : 24th International Conference, Évora, Portugal, November 22-24, 2023, Proceedings / edited by Paulo Quaresma, David Camacho, Hujun Yin, Teresa Gonçalves, Vicente Julian, Antonio J. Tallón-Ballesteros.
This book constitutes the proceedings of the 24th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2023, held in Évora, Portugal, during November 22-24, 2023. The 45 full papers and 4 short papers presented in this book were carefully reviewed and selected from...
Saved in:
Full text |
|
Personal Name(s): | Camacho, David, editor |
Gonçalves, Teresa, editor / Julian, Vicente, editor / Quaresma, Paulo, editor / Tallón-Ballesteros, Antonio J., editor / Yin, Hujun, editor | |
Edition: |
1st edition 2023. |
Imprint: |
Cham :
Springer,
2023
|
Physical Description: |
XVII, 549 pages 173 illustrations, 152 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783031482328 |
DOI: |
10.1007/978-3-031-48232-8 |
Series Title: |
/* Depending on the record driver, $field may either be an array with
"name" and "number" keys or a flat string containing only the series
name. We should account for both cases to maximize compatibility. */?>
Lecture Notes in Computer Science ;
14404 |
Subject (LOC): |
- 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 ε-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.