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Chapter and Conference Paper
Learning Image Segmentation from Few Annotations
How to build machine learning models from few annotations is an open research question. This article shows an application of a meta-learning algorithm (REPTILE) to solve the problem of object segmentation. We ...
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Chapter and Conference Paper
DCGAN Model Used to Generate Body Gestures on a Human-Humanoid Interaction System
The current availability of the humanoid robots opens up a wide range of applications, for instance, in the domain of hospitality the humanoids can be programmed to behave autonomous ways to provide help to p...
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Chapter and Conference Paper
A Wireless Sensor-Based System for Self-tracking Activity Levels Among Manual Wheelchair Users
ActiDote —activity as an antidote— is a system for manual wheelchair users that uses wireless sensors to recognize activities of various intensity levels in order to allow self-tracking while providing motivat...
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Article
Unsupervised template discovery in activity recognition using the Gamma Growing Neural Gas algorithm
Activity recognition is gaining a lot of interest given its direct use in applications like ambient assisted living and has been empowered by the increasing ubiquity of sensors (e.g., clothes, smartphones, wat...
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Chapter and Conference Paper
Indoor Activity Recognition by Combining One-vs.-All Neural Network Classifiers Exploiting Wearable and Depth Sensors
Activity recognition has recently gained a lot of interest and appears to be a promising approach to help the elderly population pursue an independent living. There already exist several methods to detect huma...
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Chapter
Enhancing Decision-Making Processes of Small Farmers in Tropical Crops by Means of Machine Learning Models
Small farmers in develo** countries face the problem of deciding where to cultivate and how to manage their crops. In under researched crops, they base many of their decisions on traditional knowledge and pe...
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Chapter and Conference Paper
Artificial Neural Networks and Data Compression Statistics for the Discrimination of Cultured Neuronal Activity
The Multi-electrode Array (MEA) technology allows the in-vitro culture of neuronal networks that can be used as a simplified and accessible model of the central nervous system, given that they exhibit activity...
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Article
A social approach for target localization: simulation and implementation in the marXbot robot
Foraging is a common benchmark problem in collective robotics in which a robot (the forager) explores a given environment while collecting items for further deposition at specific locations. A typical real-wor...
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Chapter
Social Target Localization in a Population of Foragers
Foraging has been identified as a benchmark for collective robotics. It consists on exploring an area and gathering prespecified objects from the environment. In addition to efficiently exploring an area, fora...
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Chapter and Conference Paper
Ubichip, Ubidule, and MarXbot: A Hardware Platform for the Simulation of Complex Systems
This paper presents the final hardware platform developed in the Perplexus project. This platform is composed of a reconfigurable device called the ubichip, which is embedded on a pervasive platform called the ub...
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Chapter
Avoiding Prototype Proliferation in Incremental Vector Quantization of Large Heterogeneous Datasets
Vector quantization of large datasets can be carried out by means of an incremental modelling approach where the modelling task is transformed into an incremental task by partitioning or sampling the data, and...
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Chapter
Tuning Parameters in Fuzzy Growing Hierarchical Self-Organizing Networks
Hierarchical Self-Organizing Networks are used to reveal the topology and structure of datasets. These methodologies create crisp partitions of the dataset producing tree structures composed of prototype vecto...
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Chapter and Conference Paper
Neural Development on the Ubichip by Means of Dynamic Routing Mechanisms
The ubichip is a bio-inspired reconfigurable circuit developed in the framework of the european project Perplexus. The ubichip offers special reconfigurability capabilities as self-replication and dynamic rout...
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Chapter and Conference Paper
Fuzzy Growing Hierarchical Self-Organizing Networks
Hierarchical Self-Organizing Networks are used to reveal the topology and structure of datasets. Those structures create crisp partitions of the dataset producing branches or prototype vectors that represent g...
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Chapter and Conference Paper
Prototype Proliferation in the Growing Neural Gas Algorithm
Growing Neural Gas is an incremental vector quantization algorithm with the capabilities of topology-preserving and distribution-matching. Distribution matching can produce overpopulation of prototypes in zone...
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Chapter
Evolution of Altruistic Robots
In this document we examine the evolutionary methods that may lead to the emergence of altruistic cooperation in robot collectives. We present four evolutionary algorithms that derive from biological theories ...
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Chapter and Conference Paper
Consequences of Data Uncertainty and Data Precision in Artificial Neural Network Sugar Cane Yield Prediction
Data incompleteness and data scarcity are common problems in agroecological modelling. Moreover, agroecological processes depend on historical data that could be fed into a model in a vast number of ways. This...
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Chapter and Conference Paper
Improving the Correlation Hunting in a Large Quantity of SOM Component Planes
A technique called component planes is commonly used to visualize variables behavior with Self-Organizing Maps (SOMs). Nevertheless, when the component planes are too many the visualization becomes difficult. ...
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Chapter and Conference Paper
Relevance Metrics to Reduce Input Dimensions in Artificial Neural Networks
The reduction of input dimensionality is an important subject in modelling, knowledge discovery and data mining. Indeed, an appropriate combination of inputs is desirable in order to obtain better generalisati...
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Chapter
Evolution of Embodied Intelligence
We provide an overview of the evolutionary approach to the emergence of artificial intelligence in embodied behavioral agents. This approach, also known as Evolutionary Robotics, builds and capitalizes upon th...
