A Novel Approach to QSPR/QSAR Based on Neural Networks for Structures
AbstractWe present a novel approach based on neural networks for structures to QSPR (quantitative structure-property relationships) and QSAR (quantitative structure-activity relationships) analysis. We...
View ArticleFormal Determination of Context in Contextual Recursive Cascade Correlation...
AbstractWe consider the Contextual Recursive Cascade Correlation model (CRCC), a model able to learn contextual mappings in structured domains. We propose a formal characterization of the “context...
View ArticleQSAR/QSPR Studies by Kernel Machines, Recursive Neural Networks and Their...
AbstractWe present preliminary results on a comparison between Recurrent Neural Networks (RecNN) and an SVM using a string kernel on QSPR/QSAR problems. In addition to this comparison, we report on a...
View ArticleA Preliminary Investigation on Connecting Genotype to Oral Cancer Development...
AbstractHead and neck squamous cell carcinoma (HNSCC) has already been proved to be linked with smoking and alcohol drinking habits. However the individual risk could be modified by genetic...
View ArticleA New Neural Network Model for Contextual Processing of Graphs
AbstractWe propose a novel simple approach to deal with fairly general graph structures by neural networks. Using a constructive approach, the model Neural Network for Graphs (NN4G) exploits the...
View ArticleAdaptive Contextual Processing of Structured Data by Recursive Neural...
In this section, the capacity of statistical machine learning techniques for recursive structure processing is investigated. While the universal approximation capability of recurrent and recursive...
View ArticleGenerative Kernels for Gene Function Prediction Through Probabilistic Tree...
AbstractIn this paper we extend kernel functions defined on generative models to embed phylogenetic information into a discriminative learning approach. We describe three generative tree kernels, a...
View ArticleRecursive Principal Component Analysis of Graphs
AbstractTreatment of general structured information by neural networks is an emerging research topic. Here we show how representations for graphs preserving all the information can be devised by...
View ArticleRecursive neural networks prediction of glass transition temperature from...
AbstractWe propose a new method based on a Recursive Neural Network (RecNN) for predicting polymer properties from their structured molecular representations. RecNN allows for a completely novel...
View ArticleBottom-Up Generative Modeling of Tree-Structured Data
AbstractWe introduce a compositional probabilistic model for tree-structured data that defines a bottom-up generative process from the leaves to the root of a tree. Contextual state transitions are...
View ArticleUser Movements Forecasting by Reservoir Computing Using Signal Streams...
AbstractReal-time, indoor user localization, although limited to the current user position, is of great practical importance in many Ambient Assisted Living (AAL) applications. Moreover, an accurate...
View ArticleA Generative Multiset Kernel for Structured Data
AbstractThe paper introduces a novel approach for defining efficient generative kernels for structured-data based on the concept of multisets and Jaccard similarity. The multiset feature-space allows...
View ArticleRobotic UBIquitous COgnitive Network
AbstractRobotic ecologies are networks of heterogeneous robotic devices pervasively embedded in everyday environments, where they cooperate to perform complex tasks. While their potential makes them...
View ArticleMultisensor Data Fusion for Activity Recognition Based on Reservoir Computing
AbstractAmbient Assisted Living facilities provide assistance and care for the elderly, where it is useful to infer their daily activity for ensuring their safety and successful ageing. In this work,...
View ArticleDistributed Neural Computation over WSN in Ambient Intelligence
AbstractAmbient Intelligence (AmI) applications need information about the surrounding environment. This can be collected by means of Wireless Sensor Networks (WSN) that also analyze and build...
View ArticleAn Experimental Evaluation of Reservoir Computation for Ambient Assisted Living
AbstractIn this paper we investigate the introduction of Reservoir Computing (RC) neural network models in the context of AAL (Ambient Assisted Living) and self-learning robot ecologies, with a focus...
View ArticleRobot Localization by Echo State Networks Using RSS
AbstractIn this paper we present an application of Reservoir Computing to indoor robot localization, based on input received signal strength signals from a wireless sensor network. The proposed...
View ArticleModeling Bi-directional Tree Contexts by Generative Transductions
AbstractWe introduce an approach to integrate bi-directional contexts in a generative tree model by means of structured transductions. We show how this can be efficiently realized as the composition of...
View ArticleAn experimental characterization of reservoir computing in ambient assisted...
AbstractIn this paper, we present an introduction and critical experimental evaluation of a reservoir computing (RC) approach for ambient assisted living (AAL) applications. Such an empirical analysis...
View ArticleSmart Environments and Context-Awareness for Lifestyle Management in a...
AbstractHealth trends of elderly in Europe motivate the need for technological solutions aimed at preventing the main causes of morbidity and premature mortality. In this framework, the DOREMI project...
View Article
