Applications of Computational Intelligence: Third IEEE Colombian Conference, ColCACI 2020, Cali, Colombia, August 7-8, 2020, Revised Selected Papers ... in Computer and Information Science, 1346)

Preface
Organizers
Contents
Earth Sciences Applications
Understanding the Cotopaxi Volcano Activity with Clustering-Based Approaches
	1 Introduction
	2 Materials and Methods
		2.1 Volcano Seismic Event Dataset
		2.2 Clustering-Based Classifiers
		2.3 Experimental Setup
	3 Results and Discussion
		3.1 Performance of Explored Models
		3.2 State of Art-Based Comparison
	4 Conclusions and Future Work
	References
Seismic Event Classification Using Spectrograms and Deep Neural Nets
	1 Introduction
	2 Materials and Methods
		2.1 Spectrogram Images Dataset
		2.2 Deep-Learning Networks
		2.3 Proposed Method
		2.4 Experimental Setup
	3 Results and Discussion
		3.1 Performance Evaluation of the Proposed Method
		3.2 State of the Art Based Comparison
	4 Conclusions and Future Work
	References
An Android App to Classify Culicoides Pusillus and Obsoletus Species
	1 Introduction
	2 Materials and Methods
		2.1 Automatic Culicoides Species Classification
		2.2 Development Environment
		2.3 Proposed MosCla App
		2.4 Experimental Setup
	3 Results and Discussion
		3.1 Classification Performance
		3.2 MosCla App Feasibility
	4 Conclusions and Future Work
	References
Hammerhead Shark Species Monitoring with Deep Learning
	1 Introduction
	2 Materials and Methods
		2.1 YOLOv3 Framework
		2.2 Mask-RCNN Framework
		2.3 Proposed Method
		2.4 Shark Database
		2.5 Experimental Setup
	3 Results and Discussion
		3.1 Performance of Proposed Method
		3.2 Deep-Learning Models Comparison
	4 Conclusions and Future Work
	References
Towards Automatic Comparison of Online Campaign Versus Electoral Manifestos
	1 Introduction
	2 Materials and Methods
		2.1 Architecture
		2.2 Case Study
	3 Results and Discussion
	4 Conclusions and Future Work
	References
Biomedical and Power Applications
Time and Frequency Domain Features Extraction Comparison for Motor Imagery Detection
	1 Introduction
	2 Methodology
		2.1 Database
		2.2 Feature Extraction
		2.3 Machine Learning Techniques
	3 Results
	4 Discussion
	5 Conclusions
	References
Automatic Classification of Diagnosis-Related Groups Using ANN and XGBoost Models
	1 Introduction
	2 Related Works
		2.1 Diagnosis-Related Groups - DRG
		2.2 Traditional Method of DRG Classification
		2.3 Classification of Patients in DRG Using ML
	3 Methods
	4 Dataset
		4.1 Cohort of Study
	5 Experiments and Results
		5.1 Experimental Setup
		5.2 Results
	6 Conclusions
	References
Power Management Strategies for Hybrid Vehicles: A Comparative Study
	1 Introduction
	2 Vehicle Longitudinal Dynamic
		2.1 Engine Model
		2.2 Electric Motor Model
		2.3 Battery Model
	3 Power Management Strategy
		3.1 PMS Rule-Based
		3.2 PMS Based Fuzzy
	4 Simulation Results
	5 Conclusion
	References
Alternative Proposals and Its Applications
FCM Algorithm: Analysis of the Membership Function Influence and Its Consequences for Fuzzy Clustering
	1 Introduction
	2 Clustering and Fuzzy Clustering
	3 Fuzzy C-Means Method
		3.1 Fuzzy C-Means Algorithm
		3.2 Analysis of FCM Algorithm
	4 Proposal
	5 Experiments and Results
		5.1 Dataset and Parameter Setting
		5.2 Experimental Results and Discussions
	6 Conclusions
	References
Echo State Network Performance Analysis Using Non-random Topologies
	1 Introduction
	2 Literature Review
	3 Echo State Network Model
	4 Experiments and Results
		4.1 Problem Statement
		4.2 Dataset Preparation
		4.3 Implementation Setup
		4.4 Methodology
	5 Results
	6 Conclusion
	References
Deep Learning-Based Object Classification for Spectral Images
	1 Introduction
	2 Method
		2.1 Data Acquisition
		2.2 Pre-processing of the Data
		2.3 CNN Architecture
	3 Results
		3.1 Simulation with 29 Spectral Bands
		3.2 Dimensinality Reduction
		3.3 Simulation Applying Different Levels of Gaussian Noise
	4 Conclusions
	References
Transfer Learning for Spectral Image Reconstruction from RGB Images
	1 Introduction
	2 RGB Acquisition
	3 Transfer Learning Strategy
	4 Simulations and Results
		4.1 Datasets
		4.2 Models
		4.3 Metrics and Configurations
		4.4 Results
	5 Conclusions
	References
Author Index