Innovative Interfaces, Inc.

research

∙ 11/26/2021

Non-IID data and Continual Learning processes in Federated Learning: A long road ahead

Federated Learning is a novel framework that allows multiple devices or ...

Marcos F. Criado, et al. ∙

research

∙ 11/10/2017

Arrhythmia Classification from the Abductive Interpretation of Short Single-Lead ECG Records

In this work we propose a new method for the rhythm classification of sh...

Tomás Teijeiro, et al. ∙

research

∙ 10/27/2017

On modeling vagueness and uncertainty in data-to-text systems through fuzzy sets

Vagueness and uncertainty management is counted among one of the challen...

A. Ramos-Soto, et al. ∙

research

∙ 10/11/2017

Mining Frequent Patterns in Process Models

Process mining has emerged as a way to analyze the behavior of an organi...

David Chapela-Campa, et al. ∙

research

∙ 03/30/2017

An Empirical Approach for Modeling Fuzzy Geographical Descriptors

We present a novel heuristic approach that defines fuzzy geographical de...

Alejandro Ramos-Soto, et al. ∙

research

∙ 04/14/2017

Non-parametric Estimation of Stochastic Differential Equations with Sparse Gaussian Processes

The application of Stochastic Differential Equations (SDEs) to the analy...

Constantino A. García, et al. ∙

research

∙ 09/19/2016

On the adoption of abductive reasoning for time series interpretation

Time series interpretation aims to provide an explanation of what is obs...

Tomás Teijeiro, et al. ∙

research

∙ 09/21/2015

Hybrid Optimization Algorithm for Large-Scale QoS-Aware Service Composition

In this paper we present a hybrid approach for automatic composition of ...

Pablo Rodriguez-Mier, et al. ∙

research

∙ 02/10/2015

An Integrated Semantic Web Service Discovery and Composition Framework

In this paper we present a theoretical analysis of graph-based service c...

Pablo Rodriguez-Mier, et al. ∙

research

∙ 11/27/2014

On the analysis of set-based fuzzy quantified reasoning using classical syllogistics

Syllogism is a type of deductive reasoning involving quantified statemen...

M. Pereira-Fariña, et al. ∙

research

∙ 11/26/2014

A Fuzzy Syllogistic Reasoning Schema for Generalized Quantifiers

In this paper, a new approximate syllogistic reasoning schema is describ...

M. Pereira-Fariña, et al. ∙

research

∙ 11/25/2014

Some Reflections on the Set-based and the Conditional-based Interpretations of Statements in Syllogistic Reasoning

Two interpretations about syllogistic statements are described in this p...

M. Pereira-Fariña, et al. ∙

research

∙ 11/18/2014

Linguistic Descriptions for Automatic Generation of Textual Short-Term Weather Forecasts on Real Prediction Data

We present in this paper an application which automatically generates te...

A. Ramos-Soto, et al. ∙

research

∙ 11/14/2014

Learning Fuzzy Controllers in Mobile Robotics with Embedded Preprocessing

The automatic design of controllers for mobile robots usually requires t...

I. Rodríguez-Fdez, et al. ∙

research

∙ 10/27/2014

A method for context-based adaptive QRS clustering in real-time

Continuous follow-up of heart condition through long-term electrocardiog...

Daniel Castro, et al. ∙

research

∙ 05/17/2016

Fuzzy Sets Across the Natural Language Generation Pipeline

We explore the implications of using fuzzy techniques (mainly those comm...

A. Ramos-Soto, et al. ∙

research

∙ 11/22/2017

Budget Allocation in Binary Opinion Dynamics

In this article we study the allocation of a budget to promote an opinio...

Susana Rey, et al. ∙

research

∙ 11/17/2017

Evolution of Social Power for Opinion Dynamics Networks

This article studies the evolution of opinions and interpersonal influen...

Susana Rey, et al. ∙

research

∙ 01/11/2018

Polypus: a Big Data Self-Deployable Architecture for Microblogging Text Extraction and Real-Time Sentiment Analysis

In this paper we propose a new parallel architecture based on Big Data t...

Rodrigo Martínez-Castaño, et al. ∙

research

∙ 02/16/2018

Abductive reasoning as the basis to reproduce expert criteria in ECG Atrial Fibrillation identification

Objective: This work aims at providing a new method for the automatic de...

Tomás Teijeiro, et al. ∙

research

∙ 07/19/2018

Fuzzy quantification for linguistic data analysis and data mining

Fuzzy quantification is a subtopic of fuzzy logic which deals with the m...

F. Díaz-Hermida, et al. ∙

research

∙ 09/07/2018

Meteorologists and Students: A resource for language grounding of geographical descriptors

We present a data resource which can be useful for research purposes on ...

Alejandro Ramos-Soto, et al. ∙

research

∙ 01/30/2019

Using Score Distributions to Compare Statistical Significance Tests for Information Retrieval Evaluation

Statistical significance tests can provide evidence that the observed di...

Javier Parapar, et al. ∙

research

∙ 05/31/2019

Graduated Fidelity Lattices for Motion Planning under Uncertainty

We present a novel approach for motion planning in mobile robotics under...

Adrián González-Sieira, et al. ∙

research

∙ 01/29/2020

Approximation of Stieltjes ordinary differential equations

This work is devoted to the obtaining of a new numerical scheme based in...

Francisco J. Fernández, et al. ∙

research

∙ 02/02/2020

Uncertainty Weighted Causal Graphs

Causality has traditionally been a scientific way to generate knowledge ...

Eduardo C. Garrido-Merchán, et al. ∙

research

∙ 03/15/2020

Stochastic gradient descent with random learning rate

We propose to optimize neural networks with a uniformly-distributed rand...

Daniele Musso, et al. ∙

research

∙ 06/12/2020

Collaborative and continual learning for classification tasks in a society of devices

Today we live in a context in which devices are increasingly interconnec...

Fernando E. Casado, et al. ∙

research

∙ 12/17/2020

Incremental Learning from Low-labelled Stream Data in Open-Set Video Face Recognition

Deep Learning approaches have brought solutions, with impressive perform...

Eric Lopez-Lopez, et al. ∙

research

∙ 04/09/2021

Assessment of the influence of features on a classification problem: an application to COVID-19 patients

This paper deals with an important subject in classification problems ad...

L. Davila-Pena, et al. ∙

research

∙ 05/27/2021

A review of goodness-of-fit tests for models involving functional data

A sizable amount of goodness-of-fit tests involving functional data have...

Wenceslao González--Manteiga, et al. ∙

research

∙ 07/16/2021

Entropic alternatives to initialization

Local entropic loss functions provide a versatile framework to define ar...

Daniele Musso, et al. ∙

research

∙ 07/28/2021

Contact detection between an ellipsoid and a combination of quadrics

We analyze the characteristic polynomial associated to an ellipsoid and ...

Miguel Brozos-Vázquez, et al. ∙

research

∙ 12/01/2021

A unified framework to improve the interoperability between HPC and Big Data languages and programming models

One of the most important issues in the path to the convergence of HPC a...

César Piñeiro, et al. ∙

Innovative Interfaces, Inc.

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