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1. Human Acoustic Events Detection as Anomalies in Industrial Environments Using Shallow Unsupervised Techniques

2. A Comparison of Two Speech Emotion Recognition Algorithms: Pepper Humanoid Versus Bag of Models

3. A Preliminary Study of MLSE/ACE-III Stages for Primary Progressive Aphasia Automatic Identification Using Speech Features

4. Multi-objective Optimization for Multi-Robot Path Planning on Warehouse Environments

5. Smartwatch Sleep-Tracking Services Precision Evaluation Using Supervised Domain Adaptation

6. A First Prototype of an Emotional Smart Speaker

7. Low-Cost Deep Learning-Based Prototype for Automatic Identification of Traffic Signs in Vehicles

12. Fall Detection Based on Local Peaks and Machine Learning

13. A Simple Classification Ensemble for ADL and Falls

14. Time Series Data Augmentation and Dropout Roles in Deep Learning Applied to Fall Detection

15. A Preliminary Study for Automatic Activity Labelling on an Elder People ADL Dataset

16. An Autonomous Fallers Monitoring Kit: Release 0.0

17. Simple Meta-optimization of the Feature MFCC for Public Emotional Datasets Classification

18. Transfer Learning Study for Horses Breeds Images Datasets Using Pre-trained ResNet Networks

22. Feature Clustering to Improve Fall Detection: A Preliminary Study

23. DTW as Alignment Function in the Context of Time Series Balancing

26. Evaluation of a Wrist-Based Wearable Fall Detection Method

28. Fall Detection Analysis Using a Real Fall Dataset

29. A Proof of Concept in Multivariate Time Series Clustering Using Recurrent Neural Networks and SP-Lines

34. A SMOTE Extension for Balancing Multivariate Epilepsy-Related Time Series Datasets

36. Learning Fuzzy Models with a SAX-based Partitioning for Simulated Seizure Recognition

37. Spanish Road Fork Traffic Analysis and Modelling

41. Comparing ACO Approaches in Epilepsy Seizures

44. Editorial: Special issue SOCO 2020

45. Editorial: Special issue HAIS20

46. Comparison of Fuzzy Functions for Low Quality Data GAP Algorithms

47. Preface

48. An Study of the Tree Generation Algorithms in Equation Based Model Learning with Low Quality Data

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