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ORCIDAraceli Sanchis
Araceli Sanchis de Miguel
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- affiliation: Carlos III University of Madrid, Computer Science and Engineering Department
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Journal Articles
- 2024
[j55]David Yagüe-Cuevas
, Pablo Marín-Plaza, María Paz Sesmero, Araceli Sanchis:
Mission based systems for connected automated mobility. Robotics Auton. Syst. 180: 104772 (2024)- 2023
- [j54]Ziga Strzinar, Araceli Sanchis, Agapito Ledezma, Oscar Sipele, Bostjan Pregelj, Igor Skrjanc:
Stress Detection Using Frequency Spectrum Analysis of Wrist-Measured Electrodermal Activity. Sensors 23(2): 963 (2023) - 2022
- [j53]Angela M. Vargas-Arcila, Juan Carlos Corrales, Araceli Sanchis, Alvaro Rendón:
SOFI dataset: Symptom-fault relationship for IP-network. Comput. Networks 216: 109233 (2022) - [j52]Igor Skrjanc, Goran Andonovski, José Antonio Iglesias, María Paz Sesmero, Araceli Sanchis:
Evolving Gaussian on-line clustering in social network analysis. Expert Syst. Appl. 207: 117881 (2022) - 2021
- [j51]Ascensión López-Vargas, Agapito Ledezma, Jack Bott, Araceli Sanchis:
IoT for Global Development to Achieve the United Nations Sustainable Development Goals: The New Scenario After the COVID-19 Pandemic. IEEE Access 9: 124711-124726 (2021) - [j50]M. Paz Sesmero Lorente, José Antonio Iglesias, Elena Magán, Agapito Ledezma, Araceli Sanchis:
Impact of the learners diversity and combination method on the generation of heterogeneous classifier ensembles. Appl. Soft Comput. 111: 107689 (2021) - [j49]David Griol, Zoraida Callejas, José Manuel Molina, Araceli Sanchis:
Adaptive dialogue management using intent clustering and fuzzy rules. Expert Syst. J. Knowl. Eng. 38(1) (2021) - [j48]Lukás Mateju, David Griol, Zoraida Callejas, José Manuel Molina, Araceli Sanchis:
An empirical assessment of deep learning approaches to task-oriented dialog management. Neurocomputing 439: 327-339 (2021) - [j47]Angela M. Vargas-Arcila, Juan Carlos Corrales, Araceli Sanchis, Álvaro Rendón Gallón:
Peripheral Diagnosis for Propagated Network Faults. J. Netw. Syst. Manag. 29(2): 14 (2021) - 2020
- [j46]David Griol, José Manuel Molina, Araceli Sanchis:
A multimodal conversational coach for active ageing based on sentient computing and m-health. Expert Syst. J. Knowl. Eng. 37(2) (2020) - [j45]David Griol, José Manuel Molina, Araceli Sanchis, Zoraida Callejas:
A data-driven approach to spoken dialog segmentation. Neurocomputing 391: 292-304 (2020) - [j44]María Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Araceli Sanchis:
CCE: An ensemble architecture based on coupled ANN for solving multiclass problems. Inf. Fusion 58: 132-152 (2020) - 2019
- [j43]David Griol, Araceli Sanchis, José Manuel Molina, Zoraida Callejas:
Developing enhanced conversational agents for social virtual worlds. Neurocomputing 354: 27-40 (2019) - [j42]Igor Skrjanc, José Antonio Iglesias, Araceli Sanchis, Daniel F. Leite, Edwin Lughofer, Fernando A. C. Gomide:
Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey. Inf. Sci. 490: 344-368 (2019) - 2018
- [j41]Jesus A. Carino, Miguel Delgado Prieto, José Antonio Iglesias, Araceli Sanchis, Daniel Zurita, Marta Millán, Juan Antonio Ortega Redondo, René de Jesús Romero-Troncoso:
Fault Detection and Identification Methodology Under an Incremental Learning Framework Applied to Industrial Machinery. IEEE Access 6: 49755-49766 (2018) - [j40]Igor Skrjanc, Goran Andonovski, Agapito Ledezma, Oscar Sipele, José Antonio Iglesias, Araceli Sanchis:
Evolving cloud-based system for the recognition of drivers' actions. Expert Syst. Appl. 99: 231-238 (2018) - 2017
- [j39]David Griol, José Manuel Molina, Araceli Sanchis:
Integration of context-aware conversational interfaces to develop practical applications for mobile devices. J. Ambient Intell. Smart Environ. 9(5): 561-577 (2017) - 2016
- [j38]David Griol, José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog Systems. Int. J. Neural Syst. 26(1): 1650002:1-1650002:21 (2016) - [j37]José Antonio Iglesias, Alexandra Tiemblo, Agapito Ledezma, Araceli Sanchis:
Web news mining in an evolving framework. Inf. Fusion 28: 90-98 (2016) - 2015
- [j36]M. Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis:
An ensemble approach of dual base learners for multi-class classification problems. Inf. Fusion 24: 122-136 (2015) - [j35]Francisco Javier Ordóñez, Paula de Toledo, Araceli Sanchis:
Sensor-based Bayesian detection of anomalous living patterns in a home setting. Pers. Ubiquitous Comput. 19(2): 259-270 (2015) - [j34]M. Paz Sesmero Lorente, Agapito Ledezma, Araceli Sanchis:
Generating ensembles of heterogeneous classifiers using Stacked Generalization. WIREs Data Mining Knowl. Discov. 5(1): 21-34 (2015) - 2014
- [j33]Juan Manuel Alonso-Weber, M. Paz Sesmero Lorente, Araceli Sanchis:
Combining additive input noise annealing and pattern transformations for improved handwritten character recognition. Expert Syst. Appl. 41(18): 8180-8188 (2014) - [j32]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Evolving classification of UNIX users' behaviors. Evol. Syst. 5(4): 231-238 (2014) - [j31]David Griol, Araceli Sanchis, José Manuel Molina, Zoraida Callejas:
Utilización de las Tecnologías del Habla y de los Mundos Virtuales para el Desarrollo de Aplicaciones Educativas. Proces. del Leng. Natural 53: 167-170 (2014) - [j30]David Griol, María García-Jiménez, José Manuel Molina, Araceli Sanchis:
Desarrollo de portales de voz municipales interactivos y adaptados al usuario. Proces. del Leng. Natural 53: 185-188 (2014) - [j29]Francisco Javier Ordóñez, Gwenn Englebienne, Paula de Toledo, Tim van Kasteren, Araceli Sanchis, Ben J. A. Kröse:
In-Home Activity Recognition: Bayesian Inference for Hidden Markov Models. IEEE Pervasive Comput. 13(3): 67-75 (2014) - [j28]Beatriz García Jiménez, Tirso Pons, Araceli Sanchis, Alfonso Valencia:
Predicting Protein Relationshipsto Human Pathways througha Relational Learning ApproachBased on Simple Sequence Features. IEEE ACM Trans. Comput. Biol. Bioinform. 11(4): 753-765 (2014) - 2013
- [j27]Francisco Javier Ordóñez, José Antonio Iglesias, Paula de Toledo, Agapito Ledezma, Araceli Sanchis:
Online activity recognition using evolving classifiers. Expert Syst. Appl. 40(4): 1248-1255 (2013) - [j26]Juan Peralta Donate, Paulo Cortez, Germán Gutiérrez Sánchez, Araceli Sanchis de Miguel:
Time series forecasting using a weighted cross-validation evolutionary artificial neural network ensemble. Neurocomputing 109: 27-32 (2013) - [j25]Juan Peralta Donate, Xiaodong Li, Germán Gutiérrez Sánchez, Araceli Sanchis de Miguel:
Time series forecasting by evolving artificial neural networks with genetic algorithms, differential evolution and estimation of distribution algorithm. Neural Comput. Appl. 22(1): 11-20 (2013) - [j24]Fco. Javier Ordóñez, Paula de Toledo, Araceli Sanchis:
Activity Recognition Using Hybrid Generative/Discriminative Models on Home Environments Using Binary Sensors. Sensors 13(5): 5460-5477 (2013) - 2012
- [j23]Juan Peralta Donate, Germán Gutiérrez Sánchez, Araceli Sanchis de Miguel:
Time Series Forecasting. A Comparative Study between an Evolving Artificial Neural Networks System and Statistical Methods. Int. J. Artif. Intell. Tools 21(1) (2012) - [j22]José Antonio Iglesias Martinez, Agapito Ledezma Espino, Araceli Sanchis de Miguel:
Data Mining for User Modeling. Int. J. Organ. Collect. Intell. 3(1): 35-51 (2012) - [j21]David Griol, José Manuel Molina, Araceli Sanchis de Miguel, Zoraida Callejas:
A Proposal to Create Learning Environments in Virtual Worlds Integrating Advanced Educative Resources. J. Univers. Comput. Sci. 18(18): 2516-2541 (2012) - [j20]M. Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis:
A new artificial neural network ensemble based on feature selection and class recoding. Neural Comput. Appl. 21(4): 771-783 (2012) - [j19]José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis:
Creating Evolving User Behavior Profiles Automatically. IEEE Trans. Knowl. Data Eng. 24(5): 854-867 (2012) - 2011
- [j18]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis, Gal A. Kaminka:
A plan classifier based on Chi-square distribution tests. Intell. Data Anal. 15(2): 131-149 (2011) - [j17]Juan Manuel Alonso-Weber, Araceli Sanchis:
A Skeletonizing Reconfigurable Self-Organizing Model: Validation Through Text Recognition. Neural Process. Lett. 34(1): 39-58 (2011) - 2010
- [j16]José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis:
Evolving classification of agents' behaviors: a general approach. Evol. Syst. 1(3): 161-171 (2010) - [j15]Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo:
GA-stacking: Evolutionary stacked generalization. Intell. Data Anal. 14(1): 89-119 (2010) - [j14]José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis:
Human Activity Recognition Based on Evolving Fuzzy Systems. Int. J. Neural Syst. 20(5): 355-364 (2010) - 2009
- [j13]Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo:
OMBO: An opponent modeling approach. AI Commun. 22(1): 21-35 (2009) - [j12]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
CAOS Coach 2006 Simulation Team: An Opponent Modelling Approach. Comput. Informatics 28(1): 57-80 (2009) - [j11]Paula de Toledo, Pablo M. Rios, Agapito Ledezma, Araceli Sanchis, Jose F. Alen, Alfonso Lagares:
Predicting the Outcome of Patients With Subarachnoid Hemorrhage Using Machine Learning Techniques. IEEE Trans. Inf. Technol. Biomed. 13(5): 794-801 (2009) - 2008
- [j10]Raúl Arrabales Moreno, Araceli Sanchis de Miguel:
Applying machine consciousness models in autonomous situated agents. Pattern Recognit. Lett. 29(8): 1033-1038 (2008) - 2005
- [j9]Germán Gutiérrez, Araceli Sanchis, Pedro Isasi Viñuela, José M. Molina, Inés María Galván:
Non-Direct Encoding Method Based on Cellular Automata to Design Neural Network Architectures. Comput. Artif. Intell. 24(3): 225-247 (2005) - 2002
- [j8]M. A. Guinea, Araceli Sanchis, José M. Molina:
Evolución de gramáticas bidimensionales de contexto libre para el diseño de arquitecturas de redes de neuronas artificiales. Inteligencia Artif. 6(17): 33-48 (2002) - [j7]Antonio Berlanga, Araceli Sanchis, Pedro Isasi, José M. Molina:
Generalization capabilities of co-evolution in learning robot behavior. J. Field Robotics 19(10): 455-467 (2002) - [j6]Antonio Berlanga, Araceli Sanchis, Pedro Isasi, José M. Molina López:
Neural Network Controller against Environment: A Coevolutive approach to Generalize Robot Navigation Behavior. J. Intell. Robotic Syst. 33(2): 139-166 (2002) - 2001
- [j5]Araceli Sanchis, Pedro Isasi, José M. Molina López, Javier Segovia:
Applying classifier systems to learn the reactions in mobile robots. Int. J. Syst. Sci. 32(2): 237-258 (2001) - 2000
- [j4]José M. Molina, Araceli Sanchis, Antonio Berlanga, Pedro Isasi:
An Enhanced Classifier System for Autonomous Robot Navigation in Dynamic Environments. Intell. Autom. Soft Comput. 6(2): 113-124 (2000) - [j3]Araceli Sanchis, José M. Molina, Pedro Isasi, Javier Segovia:
RTCS: a Reactive with Tags Classifier System. J. Intell. Robotic Syst. 27(4): 379-405 (2000) - 1999
- [j2]Araceli Sanchis, José M. Molina, Pedro Isasi, Javier Segovia:
Generación Automática de Categorias mediante la Evoluciónde Tags en Sistemas Clasificadores. Inteligencia Artif. 3(7): 77-97 (1999) - [j1]Pedro Isasi, Araceli Sanchis, José M. Molina, Antonio Berlanga:
A Computational Model of Evolution: Haploidy versus Diploidy. Comput. Artif. Intell. 18(6): 575-594 (1999)
Conference and Workshop Papers
- 2024
- [c101]José Antonio Iglesias, José María Monterrubio, María Paz Sesmero, Araceli Sanchis:
Generation and Evaluation of Medical Images Based on Diffusion Models. EAIS 2024: 1-8 - 2023
- [c100]David Yagüe-Cuevas, Pablo Marín-Plaza, María Paz Sesmero, Araceli Sanchis:
Towards a Robust Traffic Scene Representation in Cooperative Connected Automated Mobility. VEHITS 2023: 265-272 - 2020
- [c99]José Antonio Iglesias Martinez, María Paz Sesmero Lorente, Elena Magán López, Agapito Ledezma Espino, Araceli Sanchis de Miguel:
A Novel Evolving Ensemble Approach Based on Bootstrapping and Dynamic Selection of Diverse Learners. EAIS 2020: 1-8 - [c98]Goran Andonovski, Oscar Sipele, José Antonio Iglesias, Araceli Sanchis, Edwin Lughofer, Igor Skrjanc:
Detection of driver maneuvers using evolving fuzzy cloud-based system. SSCI 2020: 700-706 - [c97]Elena Magán, Agapito Ledezma, M. Paz Sesmero Lorente, Araceli Sanchis:
Fuzzy Alarm System based on Human-centered Approach. VEHITS 2020: 448-455 - 2019
- [c96]Paula de Toledo, Rodrigo Pérez-Rodríguez, Pablo de Miguel, Araceli Sanchis, Pablo Serrano:
Prediction of patient evolution in terms of Clinical Risk Groups form routinely collected data using machine learning. EMBC 2019: 1721-1724 - [c95]David Griol, Araceli Sanchis, José Manuel Molina:
A Proposal for the Development of Lifelong Dialog Systems. SOCO 2019: 78-88 - [c94]David Griol, José Manuel Molina, Araceli Sanchis:
An Industrial Application of Soft Computing for the Design of Personalized Call Centers. SOCO 2019: 463-472 - 2018
- [c93]M. Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Alessandro Giuliani, Giuliano Armano, Araceli Sanchis:
Measuring Diversity and Accuracy in ANN Ensembles. CAEPIA 2018: 108-117 - [c92]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Opponent Modeling in RoboCup Soccer Simulation. WAF 2018: 303-316 - 2017
- [c91]Jose Eduardo Gomez, David Camilo Corrales, Juan Carlos Corrales, Araceli Sanchis, Agapito Ledezma, José Antonio Iglesias:
Monitoring of vulcano Puracé through seismic signals: Description of a real dataset. EAIS 2017: 1-6 - [c90]Igor Skrjanc, Araceli Sanchis de Miguel, José Antonio Iglesias, Agapito Ledezma, Dejan Dovzan:
Evolving Cauchy possibilistic clustering based on cosine similarity for monitoring cyber systems. EAIS 2017: 1-5 - [c89]David Griol, Araceli Sanchis de Miguel, José Manuel Molina:
FRB-Dialog: A Toolkit for Automatic Learning of Fuzzy-Rule Based (FRB) Dialog Managers. HAIS 2017: 306-317 - [c88]David Griol, Araceli Sanchis de Miguel, José Manuel Molina:
A Proposal to Enhance Human-Machine Interaction by Means of Multi-agent Conversational Interfaces. HAIS 2017: 565-576 - [c87]Germán Gutiérrez, M. Paz Sesmero Lorente, Araceli Sanchis:
Forecasting Univariate Time Series by Input Transformation and Selection of the Suitable Model. IWANN (2) 2017: 210-221 - [c86]David Griol, Araceli Sanchis, José Manuel Molina:
A Data-Driven Approach to Dialog Structure Modeling. SOCO-CISIS-ICEUTE 2017: 266-275 - [c85]David Griol, Araceli Sanchis, José Manuel Molina:
A Proposal to Integrate Conversational Interfaces in Mobile Learning Applications. SOCO-CISIS-ICEUTE 2017: 695-705 - [c84]V. Zamora, Oscar Sipele, Agapito Ledezma, Araceli Sanchis:
Intelligent Agents for Supporting Driving Tasks: An Ontology-based Alarms System. VEHITS 2017: 165-172 - 2016
- [c83]Plamen P. Angelov, Xiaowei Gu, Germán Gutiérrez, José Antonio Iglesias, Araceli Sanchis:
Autonomous Data Density based clustering method. IJCNN 2016: 2405-2413 - [c82]Xiaowei Gu, Plamen P. Angelov, Germán Gutiérrez, José Antonio Iglesias, Araceli Sanchis:
Parallel Computing TEDA for High Frequency Streaming Data Clustering. INNS Conference on Big Data 2016: 238-253 - [c81]José Antonio Iglesias, Aaron Garcia-Cuerva, Agapito Ledezma, Araceli Sanchis:
Social network analysis: Evolving Twitter mining. SMC 2016: 1809-1814 - [c80]David Camilo Corrales, Juan Carlos Corrales, Araceli Sanchis, Agapito Ledezma:
Sequential classifiers for network intrusion detection based on data selection process. SMC 2016: 1827-1832 - [c79]Germán Gutiérrez, M. Paz Sesmero Lorente, Araceli Sanchis:
Forecasting time series by an ensemble of Artificial Neural Networks based on transforming the time series. SMC 2016: 4769-4774 - 2015
- [c78]David Griol, Araceli Sanchis de Miguel:
An Ensemble-Based Classification Approach to Model Human-Machine Dialogs. CAEPIA 2015: 224-233 - [c77]David Griol, José Manuel Molina, Araceli Sanchis, Zoraida Callejas:
Combining Several User Models to Improve and Adapt the Dialog Management Process in Spoken Dialog Systems. FETLT 2015: 65-76 - [c76]David Griol, José Manuel Molina, Araceli Sanchis, Zoraida Callejas:
An Approach to Sentiment Analysis for Mobile Speech Applications. FETLT 2015: 96-107 - [c75]Dmitry Kangin, Plamen Angelov, José Antonio Iglesias, Araceli Sanchis:
Evolving Classifier TEDAClass for Big Data. INNS Conference on Big Data 2015: 9-18 - 2014
- [c74]David Griol, José Manuel Molina, Araceli Sanchis de Miguel:
The Geranium System: Multimodal Conversational Agents for E-learning. DCAI 2014: 219-226 - [c73]David Griol, José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
A dialog management methodology based on evolving Fuzzy-rule-based (FRB) classifiers. EAIS 2014: 1-8 - [c72]José Antonio Iglesias, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis:
Time series forecasting using Artificial Neural Networks vs. evolving models. EAIS 2014: 1-7 - [c71]José Antonio Iglesias, David Griol, Agapito Ledezma, Araceli Sanchis:
Influence of the data codification when applying evolving classifiers to develop spoken dialog systems. EALS 2014: 58-64 - [c70]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
An ensemble method based on evolving classifiers: eStacking. EALS 2014: 124-131 - [c69]Germán Gutiérrez, José Antonio Iglesias, Francisco Javier Ordóñez, Agapito Ledezma, Araceli Sanchis:
Agent-based framework for Advanced Driver Assistance Systems in urban environments. FUSION 2014: 1-8 - [c68]Ariel Vernaza, Agapito Ledezma, Araceli Sanchis:
Simul-A2: Agent-based simulator for evaluate ADA systems. FUSION 2014: 1-7 - [c67]M. Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Germán Gutiérrez, Araceli Sanchis:
CCE: An Approach to Improve the Accuracy in Ensembles by Using Diverse Base Learners. HAIS 2014: 630-641 - [c66]José Antonio Iglesias, Alexandra Tiemblo, Agapito Ismael Ledezma Espino, Araceli Sanchis:
News Mining Using Evolving Fuzzy Systems. IDEAL 2014: 327-335 - [c65]David Griol, Araceli Sanchis de Miguel, José Manuel Molina:
Giving Voice to the Internet by Means of Conversational Agents. IDEAL 2014: 441-448 - [c64]David Griol, José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
A Practical Application of Evolving Fuzzy-Rule-Based Classifiers for the Development of Spoken Dialog Systems. AIAI 2014: 307-316 - [c63]David Griol, Ismael Baena, José Manuel Molina, Araceli Sanchis de Miguel:
A Multimodal Conversational Agent for Personalized Language Learning. ISAmI 2014: 13-21 - [c62]David Griol, José Manuel Molina, Araceli Sanchis de Miguel:
Domain and Subtask-Adaptive Conversational Agents to Provide an Enhanced Human-Agent Interaction. PAAMS 2014: 134-145 - [c61]David Griol, José Manuel Molina, Araceli Sanchis de Miguel:
Developing Multimodal Conversational Agents: From the Use of VoiceXML to Android-Based Applications. PAAMS 2014: 335-338 - 2013
- [c60]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Ensemble method based on individual evolving classifiers. EAIS 2013: 56-61 - [c59]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Evolving systems for computer user behavior classification. EAIS 2013: 78-83 - [c58]Juan Manuel Alonso-Weber, M. Paz Sesmero Lorente, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis:
Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging. ICANN 2013: 335-342 - 2012
- [c57]Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchis:
Characterizing and Assessing Human-Like Behavior in Cognitive Architectures. BICA 2012: 7-15 - [c56]José Antonio Iglesias, Francisco Javier Ordóñez, Agapito Ledezma, Paula de Toledo, Araceli Sanchis:
Evolving activity recognition from sensor streams. EAIS 2012: 96-101 - [c55]Borja Prior González, Juan Peralta Donate, Paulo Cortez, Germán Gutiérrez Sánchez, Araceli Sanchis de Miguel:
Parallelization of an evolving Artificial Neural Networks system to Forecast Time Series using OPENMP and MPI. EAIS 2012: 186-191 - [c54]Francisco Javier Ordóñez, Andrés Duque, Paula de Toledo, Araceli Sanchis:
A Hybrid HMM/ANN Model for Activity Recognition in the Home Using Binary Sensors. IWAAL 2012: 98-105 - [c53]Andrés Duque, Francisco Javier Ordóñez, Paula de Toledo, Araceli Sanchis:
Offline and Online Activity Recognition on Mobile Devices Using Accelerometer Data. IWAAL 2012: 208-215 - 2011
- [c52]Jorge Muñoz, Georgios N. Yannakakis, Fiona Bríd Mulvey, Dan Witzner Hansen, Germán Gutiérrez, Araceli Sanchis:
Towards gaze-controlled platform games. CIG 2011: 47-54 - [c51]José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis:
Evolving human activity classifier from sensor streams. EAIS 2011: 139-146 - [c50]Juan Peralta Donate, Paulo Cortez, Araceli Sanchis de Miguel, Germán Gutiérrez Sánchez:
Evolving time-lagged feedforward neural networks for time series forecasting. GECCO (Companion) 2011: 163-164 - [c49]Juan Peralta Donate, Paulo Cortez, Araceli Sanchis de Miguel, Germán Gutiérrez Sánchez:
Evolving sparsely connected neural networks for multi-step ahead forecasting. GECCO (Companion) 2011: 219-220 - [c48]Juan Peralta Donate, Paulo Cortez, Germán Gutiérrez Sánchez, Araceli Sanchis de Miguel:
Weighted Cross-Validation Evolving Artificial Neural Networks to Forecast Time Series. SOCO 2011: 147-154 - 2010
- [c47]Jorge Muñoz, Germán Gutiérrez, Araceli Sanchis:
A human-like TORCS controller for the Simulated Car Racing Championship. CIG 2010: 473-480 - [c46]José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis:
Human Activity Recognition in Intelligent Home Environments: An Evolving Approach. ECAI 2010: 1047-1048 - [c45]José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis:
User modeling: Through statistical analysis and an evolving classifier. FUZZ-IEEE 2010: 1-8 - [c44]Juan Peralta, Germán Gutiérrez, Araceli Sanchis:
Time Series Forecasting by Evolving Artificial Neural Networks Using "Shuffle", Cross-Validation and Ensembles. ICANN (1) 2010: 50-53 - [c43]Beatriz García Jiménez, Agapito Ledezma, Araceli Sanchis:
S.cerevisiae Complex Function Prediction with Modular Multi-Relational Framework. IEA/AIE (3) 2010: 82-91 - [c42]Juan Peralta, Germán Gutiérrez, Araceli Sanchis:
Time series forecasting by evolving artificial neural networks using genetic algorithms and estimation of distribution algorithms. IJCNN 2010: 1-8 - [c41]Juan Peralta, Xiaodong Li, Germán Gutiérrez, Araceli Sanchis:
Time series forecasting by evolving artificial neural networks using genetic algorithms and differential evolution. IJCNN 2010: 1-8 - [c40]Beatriz García Jiménez, Agapito Ledezma, Araceli Sanchis:
MMRF for Proteome Annotation Applied to Human Protein Disease Prediction. ILP 2010: 67-75 - 2009
- [c39]Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchis:
Establishing a roadmap and metrics for conscious machines development. IEEE ICCI 2009: 94-101 - [c38]Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchis:
Assessing and Characterizing the Cognitive Power of Machine Consciousness Implementations. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures 2009 - [c37]Juan Peralta, Germán Gutiérrez, Araceli Sanchis:
Shuffle design to improve time series forecasting accuracy. IEEE Congress on Evolutionary Computation 2009: 741-748 - [c36]Jorge Muñoz, Germán Gutiérrez, Araceli Sanchis:
Evolutionary techniques in a constraint satisfaction problem: Puzzle Eternity II. IEEE Congress on Evolutionary Computation 2009: 2985-2991 - [c35]Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchis:
Towards conscious-like behavior in computer game characters. CIG 2009: 217-224 - [c34]Jorge Muñoz, Germán Gutiérrez, Araceli Sanchis:
Controller for TORCS created by imitation. CIG 2009: 271-278 - [c33]José Antonio Iglesias, Juan Antonio Fernández, Ignacio Ramon Villena, Agapito Ledezma, Araceli Sanchis:
The Winning Advantage: Using Opponent Models in Robot Soccer. IDEAL 2009: 485-493 - [c32]Jorge Muñoz, Germán Gutiérrez, Araceli Sanchis:
Evolutionary Genetic Algorithms in a Constraint Satisfaction Problem: Puzzle Eternity II. IWANN (1) 2009: 720-727 - [c31]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Creating User Profiles from a Command-Line Interface: A Statistical Approach. UMAP 2009: 90-101 - 2008
- [c30]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis, Gal A. Kaminka:
An Efficient Behavior Classifier based on Distributions of Relevant Events. ECAI 2008: 825-826 - [c29]Francisco Javier Ordóñez, Agapito Ledezma, Araceli Sanchis:
Genetic Approach for Optimizing Ensembles of Classifiers. FLAIRS 2008: 89-94 - [c28]Beatriz García Jiménez, Ricardo Aler, Agapito Ledezma, Araceli Sanchis:
Protein-protein functional association prediction using genetic programming. GECCO 2008: 347-348 - [c27]Juan Peralta, Germán Gutiérrez, Araceli Sanchis:
ADANN: automatic design of artificial neural networks. GECCO (Companion) 2008: 1863-1870 - [c26]Beatriz García Jiménez, Ricardo Aler, Agapito Ledezma, Araceli Sanchis:
Genetic Programming for Predicting Protein Networks. IBERAMIA 2008: 432-441 - 2007
- [c25]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Sequence Classification Using Statistical Pattern Recognition. IDA 2007: 207-218 - [c24]M. Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis:
Specialized Ensemble of Classifiers for Traffic Sign Recognition. IWANN 2007: 733-740 - [c23]Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchis de Miguel:
Modeling Consciousness for Autonomous Robot Exploration. IWINAC (1) 2007: 51-60 - 2006
- [c22]Valentin Moreno, Agapito Ledezma, Araceli Sanchis:
A Static Images Based-System for Traffic Signs Detection. Artificial Intelligence and Applications 2006: 445-450 - [c21]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
A Comparing Method of Two Team Behaviours in the Simulation Coach Competition. MDAI 2006: 117-128 - 2004
- [c20]Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo:
Empirical Evaluation of Optimized Stacking Configurations. ICTAI 2004: 49-55 - [c19]Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo:
Predicting Opponent Actions by Observation. RoboCup 2004: 286-296 - 2003
- [c18]Juan Manuel Alonso-Weber, Inés María Galván, Araceli Sanchis de Miguel:
Modified Self-organizing Maps for Line Extraction in Digitized Text Documents. Applied Informatics 2003: 281-286 - [c17]Germán Gutiérrez, Beatriz García Jiménez, José M. Molina, Araceli Sanchis:
Studying the Capacity of Grammatical Encoding to Generate FNN Architectures. IWANN (1) 2003: 478-485 - 2002
- [c16]M. A. Guinea, Germán Gutiérrez, Inés María Galván, Araceli Sanchis, José M. Molina:
Generative capacities of grammars codification for evolution of NN architectures. IEEE Congress on Evolutionary Computation 2002: 611-616 - [c15]Germán Gutiérrez, Inés María Galván, José M. Molina, Araceli Sanchis:
Generative Capacities of Cellular Automata Codification for Evolution of NN Codification. ICANN 2002: 314-322 - [c14]Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo:
Predicting opponent actions in the RoboSoccer. SMC (2) 2002: 5 - 2001
- [c13]Germán Gutiérrez, Pedro Isasi, José M. Molina, Araceli Sanchis, Inés María Galván:
Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures. IWANN (1) 2001: 514-521 - 2000
- [c12]Antonio Berlanga, Araceli Sanchis, P. Isasi, J. M. Molina:
A general learning co-evolution method to generalize autonomous robot navigation behavior. CEC 2000: 769-776 - [c11]Antonio Berlanga, Pedro Isasi, Araceli Sanchis de Miguel, José M. Molina:
Uniform Coevolution for solving the density classification problem in Cellular Automata. GECCO 2000: 383 - [c10]José M. Molina, Inés María Galván, Pedro Isasi, Araceli Sanchis:
Grammars and cellular automata for evolving neural networks architectures. SMC 2000: 2497-2502 - [c9]Antonio Berlanga, Pedro Isasi, Araceli Sanchis, José R. Molina:
Coevolutive adaptation of fitness landscape for solving the testing problem. SMC 2000: 3846-3851 - 1999
- [c8]Araceli Sanchis, J. M. Molina, P. Isasi, J. Segovia:
Knowledge acquisition including tags in a classifier system. CEC 1999: 137-144 - [c7]Antonio Berlanga, Pedro Isasi, Araceli Sanchis, José M. Molina:
Neural networks robot controller trained with evolution strategies. CEC 1999: 413-419 - [c6]R. Soria, Araceli Sanchis, José Manuel Molina:
Fuzzy colour distance applied to region growing in image processing. EUSFLAT-ESTYLF Joint Conf. 1999: 259-262 - [c5]Félix Chamorro, Fernando García, Araceli Sanchis, José Manuel Molina:
Decision support system based on fuzzy knowledge applied to a software factory. EUSFLAT-ESTYLF Joint Conf. 1999: 449-452 - [c4]Antonio Berlanga, José M. Molina, Araceli Sanchis, Pedro Isasi:
Applying Evolution Strategies to Neural Networks Robot Controller. IWANN (2) 1999: 516-525 - [c3]Araceli Sanchis, José M. Molina, Pedro Isasi, Javier Segovia:
Learning Symbolic Rules with a Reactive with Tags Classifier System in Robot Navigation. IWANN (2) 1999: 548-557 - 1998
- [c2]José M. Molina, Carlos Sevilla, Pedro Isasi, Araceli Sanchis:
A reactive approach to classifier systems. SMC 1998: 1359-1364 - 1997
- [c1]Pedro Isasi, José M. Molina López, Araceli Sanchis de Miguel:
Unsupervised Neural Network for Forecasting Alarms in Hydroelectric Power Plant. IWANN 1997: 1298-1306
Parts in Books or Collections
- 2012
- [p4]Raúl Arrabales Moreno, Jorge Muñoz, Agapito Ledezma, Germán Gutiérrez, Araceli Sanchis:
A Machine Consciousness Approach to the Design of Human-Like Bots. Believable Bots 2012: 171-191 - [p3]Raúl Arrabales Moreno, Agapito Ledezma, Araceli Sanchis:
ConsScale FPS: Cognitive Integration for Improved Believability in Computer Game Bots. Believable Bots 2012: 193-214 - [p2]Jorge Muñoz, Germán Gutiérrez, Araceli Sanchis:
Towards Imitation of Human Driving Style in Car Racing Games. Believable Bots 2012: 289-313 - 2008
- [p1]Juan Peralta, Germán Gutiérrez, Araceli Sanchis:
Design of Artificial Neural Networks Based on Genetic Algorithms to Forecast Time Series. Innovations in Hybrid Intelligent Systems 2008: 231-238
Reference Works
- 2009
- [r1]M. Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Germán Gutiérrez Sánchez, Agapito Ledezma Espino, Araceli Sanchis de Miguel:
Ensemble of ANN for Traffic Sign Recognition. Encyclopedia of Artificial Intelligence 2009: 554-560
Informal and Other Publications
- 2021
- [i1]Lukás Mateju, David Griol, Zoraida Callejas, José Manuel Molina, Araceli Sanchis:
An empirical assessment of deep learning approaches to task-oriented dialog management. CoRR abs/2108.03478 (2021)
Coauthor Index
Germán Gutiérrez
aka: Germán Gutiérrez Sánchez
aka: Germán Gutiérrez Sánchez
José Antonio Iglesias
aka: José Antonio Iglesias Martinez
aka: José Antonio Iglesias Martinez
[j54] [j51] [j50] [j40] [j38] [j37] [j36] [j34] [j32] [j27] [j22] [j20] [j19] [j18] [j16] [j15] [j14] [j13] [j12] [j11] [c99] [c97] [c92] [c91] [c90] [c84] [c81] [c80] [c73] [c72] [c71] [c70] [c69] [c68] [c66] [c64] [c60] [c59] [c58] [c57] [c56] [c51] [c46] [c45] [c43] [c40] [c39] [c38] [c35] [c33] [c31] [c30] [c29] [c28] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c14] [p4] [p3] [r1]
Juan Peralta
aka: Juan Peralta Donate
aka: Juan Peralta Donate
Pedro Isasi Viñuela
aka: Pedro Isasi
aka: Pedro Isasi
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