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Product details:
- ISBN-10 : 303061705X
- ISBN-13 : 9783030617059
- Author: Javier De Cos Juez
This book constitutes the refereed proceedings of the 15th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2020, held in Gijón, Spain, in November 2020. The 65 regular papers presented in this book were carefully reviewed and selected from 106 submissions. The papers are grouped into these topics: advanced data processing and visualization techniques; bio-inspired models and optimization; learning algorithms; data mining, knowledge discovery and big data; and hybrid artificial intelligence applications.
Table of contents:
- Generative Adversarial Network with Guided Generator for Non-stationary Noise Cancelation
- Fake News Detection by Means of Uncertainty Weighted Causal Graphs
- An Hybrid Registration Method for SLAM with the M8 Quanergy LiDAR
- An Adaptive Neighborhood Retrieval Visualizer
- A Fast SSVEP-Based Brain-Computer Interface
- Visual Analytics for Production Line Failure Detection
- Missing Data Imputation for Continuous Variables Based on Multivariate Adaptive Regression Splines
- Clustering and Regression to Impute Missing Values of Robot Performance
- A Simple Classification Ensemble for ADL and Falls
- Joint Entity Summary and Attribute Embeddings for Entity Alignment Between Knowledge Graphs
- Employing Decision Templates to Imbalanced Data Classification
- Comparison of Labeling Methods for Behavioral Activity Classification Based on Gaze Ethograms
- Bio-inspired Models and Optimization
- PBIL for Optimizing Hyperparameters of Convolutional Neural Networks and STL Decomposition
- An Evolutionary Approach to Automatic Keyword Selection for Twitter Data Analysis
- PreCLAS: An Evolutionary Tool for Unsupervised Feature Selection
- RADSSo: An Automated Tool for the multi-CASH Machine Learning Problem
- A Metaheuristic Algorithm to Face the Graph Coloring Problem
- Tardiness Minimisation for Job Shop Scheduling with Interval Uncertainty
- Modified Grid Searches for Hyper-Parameter Optimization
- Supervised Hyperparameter Estimation for Anomaly Detection
- Using the Variational-Quantum-Eigensolver (VQE) to Create an Intelligent Social Workers Schedule Problem Solver
- Fully Fuzzy Multi-objective Berth Allocation Problem
- Analysis of the Genetic Algorithm Operators for the Node Location Problem in Local Positioning Systems
- Optimization of Learning Strategies for ARTM-Based Topic Models
- Learning Algorithms
- A Cluster-Based Under-Sampling Algorithm for Class-Imbalanced Data
- Comparing Knowledge-Based Reinforcement Learning to Neural Networks in a Strategy Game
- Clustering Techniques Performance Analysis for a Solar Thermal Collector Hybrid Model Implementation
- A Hybrid One-Class Topology for Non-convex Sets
- A Machine Consciousness Architecture Based on Deep Learning and Gaussian Processes
- Some Experiments on the Influence of Problem Hardness in Morphological Development Based Learning of Neural Controllers
- Importance Weighted Adversarial Variational Bayes
- Global and Saturated Probabilistic Approximations Based on Generalized Maximal Consistent Blocks
- Evaluation of Error Metrics for Meta-learning Label Definition in the Forecasting Task
- Averaging-Based Ensemble Methods for the Partial Label Ranking Problem
- Agglomerative Constrained Clustering Through Similarity and Distance Recalculation
- Multi-expert Methods Evaluation on Financial and Economic Data: Introducing Bag of Experts
- The Borda Count as a Tool for Reducing the Influence of the Distance Function on kmeans
- Data Mining, Knowledge Discovery and Big Data
- Opinion Mining System for Twitter Sentiment Analysis
- An Expert System for Building Energy Management Through the Web of Things
- Simulating Users in a Social Media Platform Using Multi-agent Systems
- First Steps Towards State Representation Learning for Cognitive Robotics
- Hybridized White Learning in Cloud-Based Picture Archiving and Communication System for Predictability and Interpretability
- A New Forecasting Algorithm Based on Neighbors for Streaming Electricity Time Series
- Effective Bin Picking Approach by Combining Deep Learning and Point Cloud Processing Techniques
- Forecasting Security Alerts Based on Time Series
- Hybrid Artificial Intelligence Applications
- A Real Time Vision System Based on Deep Learning for Gesture Based Human Machine Interaction
- Tourists Movement Analysis Based on Entropies of Markov Process
- Clustering Imputation for Air Pollution Data
- Identifying and Counting Vehicles in Multiple Lanes by Using a Low-Cost Vehicle-Mounted Sensor for Intelligent Traffic Management Systems
- Minimizing Attributes for Prediction of Cardiovascular Diseases
- A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia
- Fall Detection Based on Local Peaks and Machine Learning
- Neural Networks for Background Rejection in DEAP-3600 Detector
- Dyslexia Detection from EEG Signals Using SSA Component Correlation and Convolutional Neural Networks
- Local Binary Pattern Features to Detect Anomalies in Machined Workpiece
- Early Fully-Convolutional Approach to Wavefront Imaging on Solar Adaptive Optics Simulations
- Modeling a Specific Commercial Single Proton Exchange Membrane Fuel Cell
- Deep Learning for House Categorisation, a Proposal Towards Automation in Land Registry
- On the Identification of Critical Questions in the PISA for Schools Program
- Exploratory Analysis of Radiomics Features on a Head and Neck Cancer Public Dataset
- Stroke Rehabilitation: Detection of Finger Movements
- A Hybrid Bio-inspired Clustering Approach for Diagnosing Children with Primary Headache Disorder
- Artificial Neural Networks for Tours of Multiple Asteroids
- Deep Learning for Scene Recognition from Visual Data: A Survey
- Cost-Efficiency of Convolutional Neural Networks for High-Dimensional EEG C
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