Araceli Sanchis

Orcid: 0000-0002-1429-4092

Affiliations:
  • Carlos III University of Madrid, Computer Science and Engineering Department


According to our database1, Araceli Sanchis authored at least 159 papers between 1997 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Stress Detection Using Frequency Spectrum Analysis of Wrist-Measured Electrodermal Activity.
Sensors, January, 2023

Towards a Robust Traffic Scene Representation in Cooperative Connected Automated Mobility.
Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems, 2023

2022
Evolving Gaussian on-line clustering in social network analysis.
Expert Syst. Appl., 2022

SOFI dataset: Symptom-fault relationship for IP-network.
Comput. Networks, 2022

2021
Peripheral Diagnosis for Propagated Network Faults.
J. Netw. Syst. Manag., 2021

An empirical assessment of deep learning approaches to task-oriented dialog management.
Neurocomputing, 2021

Adaptive dialogue management using intent clustering and fuzzy rules.
Expert Syst. J. Knowl. Eng., 2021

Impact of the learners diversity and combination method on the generation of heterogeneous classifier ensembles.
Appl. Soft Comput., 2021

IoT for Global Development to Achieve the United Nations Sustainable Development Goals: The New Scenario After the COVID-19 Pandemic.
IEEE Access, 2021

2020
CCE: An ensemble architecture based on coupled ANN for solving multiclass problems.
Inf. Fusion, 2020

A data-driven approach to spoken dialog segmentation.
Neurocomputing, 2020

A multimodal conversational coach for active ageing based on sentient computing and m-health.
Expert Syst. J. Knowl. Eng., 2020

Fuzzy Alarm System based on Human-centered Approach.
Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020

Detection of driver maneuvers using evolving fuzzy cloud-based system.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Novel Evolving Ensemble Approach Based on Bootstrapping and Dynamic Selection of Diverse Learners.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

2019
Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey.
Inf. Sci., 2019

Developing enhanced conversational agents for social virtual worlds.
Neurocomputing, 2019

A Proposal for the Development of Lifelong Dialog Systems.
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

An Industrial Application of Soft Computing for the Design of Personalized Call Centers.
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

Prediction of patient evolution in terms of Clinical Risk Groups form routinely collected data using machine learning.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Evolving cloud-based system for the recognition of drivers' actions.
Expert Syst. Appl., 2018

Fault Detection and Identification Methodology Under an Incremental Learning Framework Applied to Industrial Machinery.
IEEE Access, 2018

Opponent Modeling in RoboCup Soccer Simulation.
Proceedings of the Advances in Physical Agents, 2018

Measuring Diversity and Accuracy in ANN Ensembles.
Proceedings of the Advances in Artificial Intelligence, 2018

2017
Integration of context-aware conversational interfaces to develop practical applications for mobile devices.
J. Ambient Intell. Smart Environ., 2017

Intelligent Agents for Supporting Driving Tasks: An Ontology-based Alarms System.
Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems, 2017

A Proposal to Integrate Conversational Interfaces in Mobile Learning Applications.
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017

A Data-Driven Approach to Dialog Structure Modeling.
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017

Forecasting Univariate Time Series by Input Transformation and Selection of the Suitable Model.
Proceedings of the Advances in Computational Intelligence, 2017

A Proposal to Enhance Human-Machine Interaction by Means of Multi-agent Conversational Interfaces.
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017

FRB-Dialog: A Toolkit for Automatic Learning of Fuzzy-Rule Based (FRB) Dialog Managers.
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017

Evolving Cauchy possibilistic clustering based on cosine similarity for monitoring cyber systems.
Proceedings of the 2017 Evolving and Adaptive Intelligent Systems, 2017

Monitoring of vulcano Puracé through seismic signals: Description of a real dataset.
Proceedings of the 2017 Evolving and Adaptive Intelligent Systems, 2017

2016
Web news mining in an evolving framework.
Inf. Fusion, 2016

A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog Systems.
Int. J. Neural Syst., 2016

Social network analysis: Evolving Twitter mining.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Forecasting time series by an ensemble of Artificial Neural Networks based on transforming the time series.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Sequential classifiers for network intrusion detection based on data selection process.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Parallel Computing TEDA for High Frequency Streaming Data Clustering.
Proceedings of the Advances in Big Data, 2016

Autonomous Data Density based clustering method.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Generating ensembles of heterogeneous classifiers using Stacked Generalization.
WIREs Data Mining Knowl. Discov., 2015

Sensor-based Bayesian detection of anomalous living patterns in a home setting.
Pers. Ubiquitous Comput., 2015

An ensemble approach of dual base learners for multi-class classification problems.
Inf. Fusion, 2015

Evolving Classifier TEDAClass for Big Data.
Proceedings of the INNS Conference on Big Data 2015, 2015

An Approach to Sentiment Analysis for Mobile Speech Applications.
Proceedings of the Future and Emergent Trends in Language Technology, 2015

Combining Several User Models to Improve and Adapt the Dialog Management Process in Spoken Dialog Systems.
Proceedings of the Future and Emergent Trends in Language Technology, 2015

An Ensemble-Based Classification Approach to Model Human-Machine Dialogs.
Proceedings of the Advances in Artificial Intelligence, 2015

2014
Predicting Protein Relationshipsto Human Pathways througha Relational Learning ApproachBased on Simple Sequence Features.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

In-Home Activity Recognition: Bayesian Inference for Hidden Markov Models.
IEEE Pervasive Comput., 2014

Utilización de las Tecnologías del Habla y de los Mundos Virtuales para el Desarrollo de Aplicaciones Educativas.
Proces. del Leng. Natural, 2014

Desarrollo de portales de voz municipales interactivos y adaptados al usuario.
Proces. del Leng. Natural, 2014

Evolving classification of UNIX users' behaviors.
Evol. Syst., 2014

Combining additive input noise annealing and pattern transformations for improved handwritten character recognition.
Expert Syst. Appl., 2014

Developing Multimodal Conversational Agents: From the Use of VoiceXML to Android-Based Applications.
Proceedings of the Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection, 2014

Domain and Subtask-Adaptive Conversational Agents to Provide an Enhanced Human-Agent Interaction.
Proceedings of the Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection, 2014

A Multimodal Conversational Agent for Personalized Language Learning.
Proceedings of the Ambient Intelligence - Software and Applications, 2014

A Practical Application of Evolving Fuzzy-Rule-Based Classifiers for the Development of Spoken Dialog Systems.
Proceedings of the Artificial Intelligence Applications and Innovations, 2014

News Mining Using Evolving Fuzzy Systems.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Giving Voice to the Internet by Means of Conversational Agents.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

CCE: An Approach to Improve the Accuracy in Ensembles by Using Diverse Base Learners.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

Simul-A2: Agent-based simulator for evaluate ADA systems.
Proceedings of the 17th International Conference on Information Fusion, 2014

Agent-based framework for Advanced Driver Assistance Systems in urban environments.
Proceedings of the 17th International Conference on Information Fusion, 2014

An ensemble method based on evolving classifiers: eStacking.
Proceedings of the IEEE Symposium on Evolving and Autonomous Learning Systems, 2014

Influence of the data codification when applying evolving classifiers to develop spoken dialog systems.
Proceedings of the IEEE Symposium on Evolving and Autonomous Learning Systems, 2014

Time series forecasting using Artificial Neural Networks vs. evolving models.
Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2014

A dialog management methodology based on evolving Fuzzy-rule-based (FRB) classifiers.
Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2014

The Geranium System: Multimodal Conversational Agents for E-learning.
Proceedings of the Distributed Computing and Artificial Intelligence, 2014

2013
Activity Recognition Using Hybrid Generative/Discriminative Models on Home Environments Using Binary Sensors.
Sensors, 2013

Time series forecasting by evolving artificial neural networks with genetic algorithms, differential evolution and estimation of distribution algorithm.
Neural Comput. Appl., 2013

Time series forecasting using a weighted cross-validation evolutionary artificial neural network ensemble.
Neurocomputing, 2013

Online activity recognition using evolving classifiers.
Expert Syst. Appl., 2013

Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Evolving systems for computer user behavior classification.
Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013

Ensemble method based on individual evolving classifiers.
Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013

2012
Creating Evolving User Behavior Profiles Automatically.
IEEE Trans. Knowl. Data Eng., 2012

A new artificial neural network ensemble based on feature selection and class recoding.
Neural Comput. Appl., 2012

A Proposal to Create Learning Environments in Virtual Worlds Integrating Advanced Educative Resources.
J. Univers. Comput. Sci., 2012

Data Mining for User Modeling.
Int. J. Organ. Collect. Intell., 2012

Time Series Forecasting. A Comparative Study between an Evolving Artificial Neural Networks System and Statistical Methods.
Int. J. Artif. Intell. Tools, 2012

A Hybrid HMM/ANN Model for Activity Recognition in the Home Using Binary Sensors.
Proceedings of the Ambient Assisted Living and Home Care - 4th International Workshop, 2012

Offline and Online Activity Recognition on Mobile Devices Using Accelerometer Data.
Proceedings of the Ambient Assisted Living and Home Care - 4th International Workshop, 2012

Evolving activity recognition from sensor streams.
Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

Parallelization of an evolving Artificial Neural Networks system to Forecast Time Series using OPENMP and MPI.
Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

Characterizing and Assessing Human-Like Behavior in Cognitive Architectures.
Proceedings of the Biologically Inspired Cognitive Architectures 2012 - Proceedings of the Third Annual Meeting of the BICA Society, Palermo, Sicily, Italy, October 31, 2012

Towards Imitation of Human Driving Style in Car Racing Games.
Proceedings of the Believable Bots, 2012

A Machine Consciousness Approach to the Design of Human-Like Bots.
Proceedings of the Believable Bots, 2012

ConsScale FPS: Cognitive Integration for Improved Believability in Computer Game Bots.
Proceedings of the Believable Bots, 2012

2011
A Skeletonizing Reconfigurable Self-Organizing Model: Validation Through Text Recognition.
Neural Process. Lett., 2011

A plan classifier based on Chi-square distribution tests.
Intell. Data Anal., 2011

Weighted Cross-Validation Evolving Artificial Neural Networks to Forecast Time Series.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2011

Evolving sparsely connected neural networks for multi-step ahead forecasting.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Evolving time-lagged feedforward neural networks for time series forecasting.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Evolving human activity classifier from sensor streams.
Proceedings of the 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems, 2011

Towards gaze-controlled platform games.
Proceedings of the 2011 IEEE Conference on Computational Intelligence and Games, 2011

2010
Human Activity Recognition Based on Evolving Fuzzy Systems.
Int. J. Neural Syst., 2010

GA-stacking: Evolutionary stacked generalization.
Intell. Data Anal., 2010

Evolving classification of agents' behaviors: a general approach.
Evol. Syst., 2010

MMRF for Proteome Annotation Applied to Human Protein Disease Prediction.
Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

Time series forecasting by evolving artificial neural networks using genetic algorithms and differential evolution.
Proceedings of the International Joint Conference on Neural Networks, 2010

Time series forecasting by evolving artificial neural networks using genetic algorithms and estimation of distribution algorithms.
Proceedings of the International Joint Conference on Neural Networks, 2010

S.cerevisiae Complex Function Prediction with Modular Multi-Relational Framework.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Time Series Forecasting by Evolving Artificial Neural Networks Using "Shuffle", Cross-Validation and Ensembles.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

User modeling: Through statistical analysis and an evolving classifier.
Proceedings of the FUZZ-IEEE 2010, 2010

Human Activity Recognition in Intelligent Home Environments: An Evolving Approach.
Proceedings of the ECAI 2010, 2010

A human-like TORCS controller for the Simulated Car Racing Championship.
Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, 2010

2009
Ensemble of ANN for Traffic Sign Recognition.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Predicting the Outcome of Patients With Subarachnoid Hemorrhage Using Machine Learning Techniques.
IEEE Trans. Inf. Technol. Biomed., 2009

CAOS Coach 2006 Simulation Team: An Opponent Modelling Approach.
Comput. Informatics, 2009

OMBO: An opponent modeling approach.
AI Commun., 2009

Creating User Profiles from a Command-Line Interface: A Statistical Approach.
Proceedings of the User Modeling, 2009

Evolutionary Genetic Algorithms in a Constraint Satisfaction Problem: Puzzle Eternity II.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

The Winning Advantage: Using Opponent Models in Robot Soccer.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

Controller for TORCS created by imitation.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence and Games, 2009

Towards conscious-like behavior in computer game characters.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence and Games, 2009

Shuffle design to improve time series forecasting accuracy.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Evolutionary techniques in a constraint satisfaction problem: Puzzle Eternity II.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Assessing and Characterizing the Cognitive Power of Machine Consciousness Implementations.
Proceedings of the Biologically Inspired Cognitive Architectures, 2009

Establishing a roadmap and metrics for conscious machines development.
Proceedings of the 8th IEEE International Conference on Cognitive Informatics, 2009

2008
Design of Artificial Neural Networks Based on Genetic Algorithms to Forecast Time Series.
Proceedings of the Innovations in Hybrid Intelligent Systems, 2008

Applying machine consciousness models in autonomous situated agents.
Pattern Recognit. Lett., 2008

Genetic Programming for Predicting Protein Networks.
Proceedings of the Advances in Artificial Intelligence, 2008

ADANN: automatic design of artificial neural networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Protein-protein functional association prediction using genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Genetic Approach for Optimizing Ensembles of Classifiers.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

An Efficient Behavior Classifier based on Distributions of Relevant Events.
Proceedings of the ECAI 2008, 2008

2007
Modeling Consciousness for Autonomous Robot Exploration.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

Specialized Ensemble of Classifiers for Traffic Sign Recognition.
Proceedings of the Computational and Ambient Intelligence, 2007

Sequence Classification Using Statistical Pattern Recognition.
Proceedings of the Advances in Intelligent Data Analysis VII, 2007

2006
A Comparing Method of Two Team Behaviours in the Simulation Coach Competition.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2006

A Static Images Based-System for Traffic Signs Detection.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2006

2005
Non-Direct Encoding Method Based on Cellular Automata to Design Neural Network Architectures.
Comput. Artif. Intell., 2005

2004
Predicting Opponent Actions by Observation.
Proceedings of the RoboCup 2004: Robot Soccer World Cup VIII, 2004

Empirical Evaluation of Optimized Stacking Configurations.
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

2003
Studying the Capacity of Grammatical Encoding to Generate FNN Architectures.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Modified Self-organizing Maps for Line Extraction in Digitized Text Documents.
Proceedings of the 21st IASTED International Multi-Conference on Applied Informatics (AI 2003), 2003

2002
Neural Network Controller against Environment: A Coevolutive approach to Generalize Robot Navigation Behavior.
J. Intell. Robotic Syst., 2002

Generalization capabilities of co-evolution in learning robot behavior.
J. Field Robotics, 2002

Evolución de gramáticas bidimensionales de contexto libre para el diseño de arquitecturas de redes de neuronas artificiales.
Inteligencia Artif., 2002

Predicting opponent actions in the RoboSoccer.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Yasmine Hammamet, Tunisia, October 6-9, 2002, 2002

Generative Capacities of Cellular Automata Codification for Evolution of NN Codification.
Proceedings of the Artificial Neural Networks, 2002

Generative capacities of grammars codification for evolution of NN architectures.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
Applying classifier systems to learn the reactions in mobile robots.
Int. J. Syst. Sci., 2001

Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures.
Proceedings of the Connectionist Models of Neurons, 2001

2000
RTCS: a Reactive with Tags Classifier System.
J. Intell. Robotic Syst., 2000

An Enhanced Classifier System for Autonomous Robot Navigation in Dynamic Environments.
Intell. Autom. Soft Comput., 2000

Grammars and cellular automata for evolving neural networks architectures.
Proceedings of the IEEE International Conference on Systems, 2000

Coevolutive adaptation of fitness landscape for solving the testing problem.
Proceedings of the IEEE International Conference on Systems, 2000

Uniform Coevolution for solving the density classification problem in Cellular Automata.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

A general learning co-evolution method to generalize autonomous robot navigation behavior.
Proceedings of the 2000 Congress on Evolutionary Computation, 2000

1999
A Computational Model of Evolution: Haploidy versus Diploidy.
Comput. Artif. Intell., 1999

Generación Automática de Categorias mediante la Evoluciónde Tags en Sistemas Clasificadores.
Inteligencia Artif., 1999

Learning Symbolic Rules with a Reactive with Tags Classifier System in Robot Navigation.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

Applying Evolution Strategies to Neural Networks Robot Controller.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

Fuzzy colour distance applied to region growing in image processing.
Proceedings of the EUSFLAT-ESTYLF Joint Conference, 1999

Decision support system based on fuzzy knowledge applied to a software factory.
Proceedings of the EUSFLAT-ESTYLF Joint Conference, 1999

Knowledge acquisition including tags in a classifier system.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

Neural networks robot controller trained with evolution strategies.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998
A reactive approach to classifier systems.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

1997
Unsupervised Neural Network for Forecasting Alarms in Hydroelectric Power Plant.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997


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