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Alejandro Pazos Sierra
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2020 – today
- 2024
[j49]Shumin Ren, Jiakun Li, Julián Dorado, Alejandro Pazos Sierra, Humberto González Díaz
, Aliuska Duardo-Sánchez, Bairong Shen:
From molecular mechanisms of prostate cancer to translational applications: based on multi-omics fusion analysis and intelligent medicine. Health Inf. Sci. Syst. 12(1): 6 (2024)- [j48]Karina Beatriz Jimenes Vargas, Alejandro Pazos, Cristian R. Munteanu, Yunierkis Pérez-Castillo, Eduardo Tejera:
Prediction of compound-target interaction using several artificial intelligence algorithms and comparison with a consensus-based strategy. J. Cheminformatics 16(1): 27 (2024) - [i12]Andres Molares-Ulloa, Enrique Fernández-Blanco, Alejandro Pazos, Daniel Rivero:
Machine Learning in management of precautionary closures caused by lipophilic biotoxins. CoRR abs/2402.09266 (2024) - [i11]Martiño Rivera-Dourado, Marcos Gestal, Alejandro Pazos, José Manuel Vázquez-Naya:
A Novel Protocol Using Captive Portals for FIDO2 Network Authentication. CoRR abs/2402.12864 (2024) - 2023
- [j47]Sara Álvarez González, Francisco Cedrón, Alejandro Pazos, Ana Porto Pazos:
Artificial glial cells in artificial neuronal networks: a systematic review. Artif. Intell. Rev. 56(S2): 2651-2666 (2023) - [c49]João Rafael Almeida, Alejandro Pazos, José Luís Oliveira:
Clinical Data Integration Strategies for Multicenter Studies. DoCEIS 2023: 175-190 - 2022
- [j46]Alejandro Puente-Castro, Daniel Rivero, Alejandro Pazos, Enrique Fernández-Blanco:
UAV swarm path planning with reinforcement learning for field prospecting. Appl. Intell. 52(12): 14101-14118 (2022) - [j45]Andres Molares-Ulloa, Enrique Fernández-Blanco, Alejandro Pazos, Daniel Rivero:
Machine learning in management of precautionary closures caused by lipophilic biotoxins. Comput. Electron. Agric. 197: 106956 (2022) - [j44]Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos:
DoME: A deterministic technique for equation development and Symbolic Regression. Expert Syst. Appl. 198: 116712 (2022) - [j43]Alejandro Puente-Castro, Daniel Rivero, Alejandro Pazos, Enrique Fernández-Blanco:
A review of artificial intelligence applied to path planning in UAV swarms. Neural Comput. Appl. 34(1): 153-170 (2022) - [c48]João Rafael Almeida, Luís Bastião Silva, Alejandro Pazos, José Luís Oliveira:
Combining heterogeneous patient-level data into tranSMART to support multicentre studies. CBMS 2022: 62-65 - [c47]Arnaldo Pereira, João Rafael Almeida, Rui Pedro Lopes, Alejandro Pazos, José Luís Oliveira:
Discovery of Biomedical Databases Through Semantic Questioning. MIE 2022: 585-586 - 2021
- [j42]Jose Liñares-Blanco, Alejandro Pazos, Carlos Fernandez-Lozano:
Machine learning analysis of TCGA cancer data. PeerJ Comput. Sci. 7: e584 (2021) - [j41]Alvaro Rodríguez, Juan R. Rabuñal, Alejandro Pazos, Antonio Rodríguez Sotillo, Norberto Ezquerra:
Wearable Postural Control System for Low Back Pain Therapy. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [c46]João Rafael Almeida, João Figueira Silva, Sérgio Matos, Alejandro Pazos, José Luís Oliveira:
A Recommender System to Help Refining Clinical Research Studies. MIE 2021: 327-331 - [i10]Enrique Fernández-Blanco, Daniel Rivero, Alejandro Pazos:
Convolutional Neural Networks for Sleep Stage Scoring on a Two-Channel EEG Signal. CoRR abs/2103.16215 (2021) - [i9]Alejandro Puente-Castro, Enrique Fernández-Blanco, Alejandro Pazos, Cristian R. Munteanu:
Automatic Assessment of Alzheimer's Disease Diagnosis Based on Deep Learning Techniques. CoRR abs/2105.08446 (2021) - [i8]Alejandro Puente-Castro, Daniel Rivero, Alejandro Pazos, Enrique Fernández-Blanco:
UAV Swarm Path Planning with Reinforcement Learning for Field prospecting. CoRR abs/2106.02322 (2021) - [i7]Enrique Fernández-Blanco, Carlos Fernandez-Lozano, Alejandro Pazos, Daniel Rivero:
Ensemble of Convolution Neural Networks on Heterogeneous Signals for Sleep Stage Scoring. CoRR abs/2107.11045 (2021) - 2020
- [j40]Alejandro Puente-Castro, Enrique Fernández-Blanco, Alejandro Pazos, Cristian R. Munteanu:
Automatic assessment of Alzheimer's disease diagnosis based on deep learning techniques. Comput. Biol. Medicine 120: 103764 (2020) - [j39]Enrique Fernández-Blanco, Daniel Rivero, Alejandro Pazos:
EEG signal processing with separable convolutional neural network for automatic scoring of sleeping stage. Neurocomputing 410: 220-228 (2020) - [j38]Daniel Rivero, Enrique Fernández-Blanco, Carlos Fernandez-Lozano, Alejandro Pazos:
Population subset selection for the use of a validation dataset for overfitting control in genetic programming. J. Exp. Theor. Artif. Intell. 32(2): 243-271 (2020) - [j37]Alba Arceo-Vilas, Carlos Fernandez-Lozano, Salvador Pita, Sonia Pértega Díaz, Alejandro Pazos:
Identification of predictive factors of the degree of adherence to the Mediterranean diet through machine-learning techniques. PeerJ Comput. Sci. 6: e287 (2020) - [j36]Enrique Fernández-Blanco, Daniel Rivero Cebrián, Alejandro Pazos:
Convolutional neural networks for sleep stage scoring on a two-channel EEG signal. Soft Comput. 24(6): 4067-4079 (2020) - [c45]João Rafael Almeida, João Figueira Silva, Alejandro Pazos Sierra, Sérgio Matos, José Luís Oliveira:
Enhancing Decision-making Systems with Relevant Patient Information by Leveraging Clinical Notes. HEALTHINF 2020: 254-262 - [c44]João Rafael Almeida, João Figueira Silva, Alejandro Pazos Sierra, Sérgio Matos, José Luís Oliveira:
Leveraging Clinical Notes for Enhancing Decision-Making Systems with Relevant Patient Information. BIOSTEC (Selected Papers) 2020: 521-540 - [c43]João Rafael Almeida, Eriksson J. Melicio Monteiro, Luís A. Bastião Silva, Alejandro Pazos Sierra, José Luís Oliveira:
A Recommender System to Help Discovering Cohorts in Rare Diseases. CBMS 2020: 25-28 - [c42]João Rafael Almeida, Eriksson J. Melicio Monteiro, Luís A. Bastião Silva, Alejandro Pazos, José Luís Oliveira:
A Recommender System Based on Cohorts' Similarity. MIE 2020: 1183-1184 - [i6]Julian Coronel-Reyes, Iván Ramírez Morales, Enrique Fernández-Blanco, Daniel Rivero, Alejandro Pazos:
Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques. CoRR abs/2011.13185 (2020)
2010 – 2019
- 2019
- [i5]Iván Ramírez Morales, Daniel Rivero Cebrián, Enrique Fernández-Blanco, Alejandro Pazos Sierra:
Early warning in egg production curves from commercial hens: A SVM approach. CoRR abs/1904.03987 (2019) - [i4]Daniel Rivero, Enrique Fernández-Blanco, Julián Dorado, Alejandro Pazos:
Classification of Two-channel Signals by Means of Genetic Programming. CoRR abs/1904.05027 (2019) - [i3]Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos:
Classical Music Prediction and Composition by means of Variational Autoencoders. CoRR abs/1906.09972 (2019) - [i2]Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos:
A New Deterministic Technique for Symbolic Regression. CoRR abs/1908.06754 (2019) - 2018
- [j35]Adrián Carballal, Francisco Javier Nóvoa, Carlos Fernandez-Lozano, Marcos García-Guimaraes, Guillermo López-Campos, Ramón Calviño-Santos, José Manuel Vázquez-Naya, Alejandro Pazos:
Automatic multiscale vascular image segmentation algorithm for coronary angiography. Biomed. Signal Process. Control. 46: 1-9 (2018) - [j34]Julian Coronel-Reyes, Iván Ramírez Morales, Enrique Fernández-Blanco, Daniel Rivero Cebrián, Alejandro Pazos:
Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques. Comput. Electron. Agric. 145: 1-10 (2018) - [c41]Carlos Fernandez-Lozano, Rafael Alonso Valente, Manuel Fidalgo Díaz, Alejandro Pazos:
A generalized linear model for cardiovascular complications prediction in PD patients. DATA 2018: 43:1-43:3 - [c40]Carlos Fernandez-Lozano, Jose Liñares-Blanco, Marcos Gestal, Julián Dorado, Alejandro Pazos:
Integrative multi-omics data-driven approach for metastasis prediction in cancer. DATA 2018: 44:1-44:4 - 2017
- [j33]Marcos Martínez Romero, Clément Jonquet, Martin J. O'Connor, John Graybeal, Alejandro Pazos, Mark A. Musen:
NCBO Ontology Recommender 2.0: an enhanced approach for biomedical ontology recommendation. J. Biomed. Semant. 8(1): 21:1-21:22 (2017) - [j32]Raúl Alonso-Calvo, Sergio Paraiso-Medina, David Pérez-Rey, Enrique Alonso-Oset, Ruud van Stiphout, Sheng Yu, Marian Taylor, Francesca Buffa, Carlos Fernandez-Lozano, Alejandro Pazos, Victor Maojo:
A semantic interoperability approach to support integration of gene expression and clinical data in breast cancer. Comput. Biol. Medicine 87: 179-186 (2017) - [j31]Yong Liu, Shaoxun Tang, Carlos Fernandez-Lozano, Cristian R. Munteanu, Alejandro Pazos, Yi-zun Yu, Zhiliang Tan, Humberto González Díaz:
Experimental study and Random Forest prediction model of microbiome cell surface hydrophobicity. Expert Syst. Appl. 72: 306-316 (2017) - 2016
- [j30]Iván Ramírez Morales, Daniel Rivero Cebrián, Enrique Fernández-Blanco, Alejandro Pazos Sierra:
Early warning in egg production curves from commercial hens: A SVM approach. Comput. Electron. Agric. 121: 169-179 (2016) - [i1]Marcos Martínez Romero, Clément Jonquet, Martin J. O'Connor, John Graybeal, Alejandro Pazos, Mark A. Musen:
NCBO Ontology Recommender 2.0: An Enhanced Approach for Biomedical Ontology Recommendation. CoRR abs/1611.05973 (2016) - 2015
- [j29]Diana María Herrera-Ibatá, Alejandro Pazos, Ricardo Alfredo Orbegozo-Medina, Francisco Javier Romero-Durán, Humberto González Díaz:
Mapping chemical structure-activity information of HAART-drug cocktails over complex networks of AIDS epidemiology and socioeconomic data of U.S. counties. Biosyst. 132-133: 20-34 (2015) - [j28]Cristian R. Munteanu, Carlos Fernandez-Lozano, Virginia Mato Abad, Salvador Pita Fernández, Juan Alvarez-Linera, Juan Antonio Hernández Tamames, Alejandro Pazos:
Classification of mild cognitive impairment and Alzheimer's Disease with machine-learning techniques using 1H Magnetic Resonance Spectroscopy data. Expert Syst. Appl. 42(15-16): 6205-6214 (2015) - [j27]Pablo Mesejo, Óscar Ibáñez, Enrique Fernández-Blanco, Francisco Cedrón, Alejandro Pazos, Ana Porto Pazos:
Artificial Neuron-Glia Networks Learning Approach Based on Cooperative Coevolution. Int. J. Neural Syst. 25(4): 1550012:1-1550012:19 (2015) - [c39]Daniel Rivero, Enrique Fernández-Blanco, Julián Dorado, Alejandro Pazos:
Classification of Two-channel Signals by Means of Genetic Programming. GECCO (Companion) 2015: 1319-1325 - 2014
- [j26]Noelia Vállez, Gloria Bueno García, Oscar Déniz, Julián Dorado, José Antonio Seoane Fernández, Alejandro Pazos, Carlos Pastor:
Breast density classification to reduce false positives in CADe systems. Comput. Methods Programs Biomed. 113(2): 569-584 (2014) - [j25]Marcos Martínez Romero, José Manuel Vázquez-Naya, Javier Pereira, Alejandro Pazos:
BiOSS: A system for biomedical ontology selection. Comput. Methods Programs Biomed. 114(1): 125-140 (2014) - [j24]Aliuska Duardo-Sánchez, Cristian R. Munteanu, Pablo Riera-Fernández, Antonio López-Díaz, Alejandro Pazos, Humberto González Díaz:
Modeling Complex Metabolic Reactions, Ecological Systems, and Financial and Legal Networks with MIANN Models Based on Markov-Wiener Node Descriptors. J. Chem. Inf. Model. 54(1): 16-29 (2014) - [j23]Humberto González Díaz, Diana María Herrera-Ibatá, Aliuska Duardo-Sánchez, Cristian R. Munteanu, Ricardo Alfredo Orbegozo-Medina, Alejandro Pazos:
ANN Multiscale Model of Anti-HIV Drugs Activity vs AIDS Prevalence in the US at County Level Based on Information Indices of Molecular Graphs and Social Networks. J. Chem. Inf. Model. 54(3): 744-755 (2014) - 2013
- [j22]Humberto González Díaz, Pablo Riera-Fernández, Alejandro Pazos, Cristian R. Munteanu:
The Rücker-Markov invariants of complex Bio-Systems: Applications in Parasitology and Neuroinformatics. Biosyst. 111(3): 199-207 (2013) - [j21]Marcos Martínez Romero, José Manuel Vázquez-Naya, Javier Pereira, Miguel Pereira Loureiro, Alejandro Pazos, Gerardo Baños:
The iOSC3 System: Using Ontologies and SWRL Rules for Intelligent Supervision and Care of Patients with Acute Cardiac Disorders. Comput. Math. Methods Medicine 2013: 650671:1-650671:13 (2013) - [j20]Marcos Martínez Romero, José Manuel Vázquez-Naya, Javier Pereira, Miguel Pereira Loureiro, Alejandro Pazos, Gerardo Baños:
Developing a system for advanced monitoring and intelligent drug administration in critical care units using ontologies. Int. J. Knowl. Based Intell. Eng. Syst. 17(1): 45-53 (2013) - [c38]Alvaro Rodríguez, Juan R. Rabuñal, María Bermúdez-Edo, Alejandro Pazos:
Automatic Fish Segmentation on Vertical Slot Fishways Using SOM Neural Networks. IWANN (1) 2013: 445-452 - [c37]Carlos Fernandez-Lozano, Guillermo López-Campos, José A. Seoane, Victoria López-Alonso, Julián Dorado, Fernando Martín-Sánchez, Alejandro Pazos:
Anonymizing Patient Genomic Data for Public Sharing Association Studies. MedInfo 2013: 979 - [c36]Carlos Fernandez-Lozano, José A. Seoane, Marcos Gestal, Daniel Rivero, Julián Dorado, Alejandro Pazos:
A Texture-based Classification Method for Proteins in Two-Dimensional Electrophoresis Gel Images - A Feature Selection Method using Support Vector Machines and Genetic Algorithms. VISAPP (1) 2013: 401-404 - 2012
- [j19]Alberto Alvarellos González, Alejandro Pazos, Ana Porto Pazos:
Computational Models of Neuron-Astrocyte Interactions Lead to Improved Efficacy in the Performance of Neural Networks. Comput. Math. Methods Medicine 2012: 476324:1-476324:10 (2012) - [j18]Victor Maojo, Martin Fritts, Fernando Martín-Sánchez, Diana de la Iglesia, Raul E. Cachau, Miguel García-Remesal, José Crespo, Joyce A. Mitchell, Alberto Anguita, Nathan A. Baker, José María Barreiro, Sonia E. Benitez, Guillermo de la Calle, Julio C. Facelli, Peter Ghazal, Antoine Geissbühler, Fernando D. González Nilo, Norbert M. Graf, Pierre Grangeat, Isabel Hermosilla, Rada Hussein, Josipa Kern, Sabine Koch, Yannick Legré, Victoria López-Alonso, Guillermo López-Campos, Luciano Milanesi, Vassilis Moustakis, Cristian R. Munteanu, Paula Otero, Alejandro Pazos, David Pérez-Rey, George Potamias, Ferran Sanz, Casimir A. Kulikowski:
Nanoinformatics: developing new computing applications for nanomedicine. Computing 94(6): 521-539 (2012) - [j17]Antonino Santos, Juan Jesús Romero, Adrián Carballal, Alejandro Pazos:
Framework of fully integrated hybrid systems. Neural Comput. Appl. 21(1): 45-53 (2012) - [c35]Marcos Gestal, Daniel Rivero, Juan Ramón Rabuñal, Julián Dorado, Alejandro Pazos:
Introduction to Informatics for Future Documentalists in the European Higher Education Area. CSEDU (1) 2012: 301-304 - [c34]Marcos Martínez Romero, José Manuel Vázquez-Naya, Javier Pereira, Alejandro Pazos, Miguel Pereira Loureiro, Gerardo Baños:
An Ontology-based Expert System for Decision Support in Cardiac Intensive Care Environments. KES 2012: 1360-1369 - [p2]Marcos Martínez Romero, José Manuel Vázquez-Naya, Javier Pereira, Alejandro Pazos:
A Multi-criteria Approach for Automatic Ontology Recommendation Using Collective Knowledge. Recommender Systems for the Social Web 2012: 89-103 - 2011
- [j16]Ling Guo, Daniel Rivero, Julián Dorado, Cristian R. Munteanu, Alejandro Pazos:
Automatic feature extraction using genetic programming: An application to epileptic EEG classification. Expert Syst. Appl. 38(8): 10425-10436 (2011) - [c33]Daniel Rivero, Enrique Fernández-Blanco, Julián Dorado, Alejandro Pazos:
A new signal classification technique by means of Genetic Algorithms and kNN. IEEE Congress on Evolutionary Computation 2011: 581-586 - [c32]Daniel Rivero, Enrique Fernández-Blanco, Julián Dorado, Alejandro Pazos:
Using recurrent ANNs for the detection of epileptic seizures in EEG signals. IEEE Congress on Evolutionary Computation 2011: 587-592 - [c31]Noelia Vállez, Gloria Bueno García, Oscar Déniz-Suárez, José A. Seoane, Julián Dorado, Alejandro Pazos:
A Tree Classifier for Automatic Breast Tissue Classification Based on BIRADS Categories. IbPRIA 2011: 580-587 - [c30]Vanessa Aguiar-Pulido, José A. Seoane, Cristian R. Munteanu, Alejandro Pazos:
SNP-Schizo: A Web Tool for Schizophrenia SNP Sequence Classification. IWANN (2) 2011: 252-259 - [p1]Cristian R. Munteanu, Julián Dorado, Alejandro Pazos Sierra, Francisco J. Prado-Prado, L. G. Pérez-Montoto, Santiago Vilar, Florencio M. Ubeira, Angeles Sánchez-Gonzaléz, Maykel Cruz-Monteagudo, Sonia Arrasate, Nuria Sotomayor, Esther Lete, Aliuska Duardo-Sánchez, Antonio Díaz-López, Grace Patlewicz, Humberto González Díaz:
Markov Entropy Centrality: Chemical, Biological, Crime, and Legislative Networks. Towards an Information Theory of Complex Networks 2011: 199-258 - 2010
- [j15]Alba Cabarcos, Tamara Sanchez, José A. Seoane, Vanessa Aguiar-Pulido, Ana Freire, Julián Dorado, Alejandro Pazos:
Retrieval and management of medical information from heterogeneous sources, for its integration in a medical record visualisation tool. Int. J. Electron. Heal. 5(4): 371-385 (2010) - [j14]Daniel Rivero, Julián Dorado, Juan R. Rabuñal, Alejandro Pazos:
Generation and simplification of Artificial Neural Networks by means of Genetic Programming. Neurocomputing 73(16-18): 3200-3223 (2010) - [c29]Marcos Gestal, Daniel Rivero, Juan R. Rabuñal, Julián Dorado, Alejandro Pazos:
Basics of Web Application Design - An Example-based Learning Approach. CSEDU (1) 2010: 481-484 - [c28]Alejandro Pazos Sierra, Vicente Ponsoda:
Shorter, more reliable and valid tests by means of a genetic algorithm. GECCO 2010: 1307-1308 - [c27]Marcos Martínez Romero, José Manuel Vázquez-Naya, Cristian R. Munteanu, Javier Pereira, Alejandro Pazos:
An Approach for the Automatic Recommendation of Ontologies Using Collaborative Knowledge. KES (2) 2010: 74-81
2000 – 2009
- 2009
- [j13]Daniel Rivero, Julián Dorado, Juan R. Rabuñal, Alejandro Pazos:
Modifying genetic programming for artificial neural network development for data mining. Soft Comput. 13(3): 291-305 (2009) - [c26]Ana Porto Pazos, Guillermo Rodríguez, Julián Dorado, Alejandro Pazos:
Software Tool to Build Brain Computational Models through Internet. BIOCOMP 2009: 347-352 - [c25]Marcos Gestal, Juan R. Rabuñal, Julián Dorado, Daniel Rivero, Alejandro Pazos:
Building the European Higher Education Area - A Subject in Information Systems Security. CSEDU (1) 2009: 398-401 - [c24]Ling Guo, Daniel Rivero, José A. Seoane, Alejandro Pazos:
Classification of EEG signals using relative wavelet energy and artificial neural networks. GEC Summit 2009: 177-184 - [c23]Daniel Rivero, Julián Dorado, Juan R. Rabuñal, Alejandro Pazos:
Evolving simple feed-forward and recurrent ANNs for signal classification: A comparison. IJCNN 2009: 2685-2692 - [c22]Daniel Rivero, Julián Dorado, Enrique Fernández-Blanco, Alejandro Pazos:
A Genetic Algorithm for ANN Design, Training and Simplification. IWANN (1) 2009: 391-398 - [e1]Juan R. Rabuñal, Julián Dorado, Alejandro Pazos:
Encyclopedia of Artificial Intelligence (3 Volumes). IGI Global 2009, ISBN 9781599048499 [contents] - [r1]José Manuel Vázquez-Naya, Marcos Martínez Romero, Javier Pereira Loureiro, Alejandro Pazos Sierra:
Ontology Alignment Overview. Encyclopedia of Artificial Intelligence 2009: 1283-1289 - 2008
- [c21]José Manuel Vázquez-Naya, Marcos Martínez Romero, Maria Gloria López Cabana, B. González-Conde, F. M. Arnal, Javier Pereira Loureiro, Alejandro Pazos:
An Ontology-Based Information System for Multicenter Epidemiologic Studies on Cancer. HEALTHINF (2) 2008: 133-139 - [c20]Daniel Rivero, Julián Dorado, Juan R. Rabuñal, Alejandro Pazos:
Automatic Recurrent ANN development for signal classification: detection of seizures in EEGs. ECAI 2008: 142-146 - [c19]Marcos Martínez, José M. Vázquez, Javier Pereira, Alejandro Pazos:
Annotation of Colorectal Cancer Data Using the UMLS Metathesaurus. KES (2) 2008: 58-65 - 2007
- [j12]Penousal Machado, Juan Romero, Antonino Santos, Amílcar Cardoso, Alejandro Pazos:
On the development of evolutionary artificial artists. Comput. Graph. 31(6): 818-826 (2007) - [j11]Ana Porto Pazos, Alfonso Araque, Juan R. Rabuñal, Julián Dorado, Alejandro Pazos:
A new hybrid evolutionary mechanism based on unsupervised learning for Connectionist Systems. Neurocomputing 70(16-18): 2799-2808 (2007) - [j10]Antonino Santos, Ana Porto Pazos, Juan Romero, A. Albó, Alejandro Pazos:
Study of classical conditioning in Aplysia through the implementation of computational models of its learning circuit. J. Exp. Theor. Artif. Intell. 19(2): 119-158 (2007) - [c18]Daniel Rivero, Juan R. Rabuñal, Julián Dorado, Alejandro Pazos:
Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem. ICANNGA (1) 2007: 276-285 - 2006
- [j9]Alejandro Pazos Sierra, Alejandro Echeverría:
Evolutionary discriminant analysis. IEEE Trans. Evol. Comput. 10(1): 81-92 (2006) - 2005
- [j8]Marcos Gestal, María Paz Gómez-Carracedo, José Manuel Andrade, Julián Dorado, Esther Fernández, Darío Prada, Alejandro Pazos:
Selection Of Variables By Genetic Algorithms To Classify Apple Beverages By Artificial Neural Networks. Appl. Artif. Intell. 19(2): 181-198 (2005) - [c17]Ana Porto Pazos, Alejandro Pazos, Alfonso Araque:
Artificial Neural Networks Based on Brain Circuits Behaviour and Genetic Algorithms. IWANN 2005: 99-106 - [c16]Daniel Rivero, Juan R. Rabuñal, Julián Dorado, Alejandro Pazos:
Time Series Forecast with Anticipation Using Genetic Programming. IWANN 2005: 968-975 - 2004
- [j7]Juan R. Rabuñal, Julián Dorado, Alejandro Pazos, Javier Pereira, Daniel Rivero:
A New Approach to the Extraction of ANN Rules and to Their Generalization Capacity Through GP. Neural Comput. 16(7): 1483-1523 (2004) - [c15]José Manuel Vázquez-Naya, A. F. Castro Blanco, Javier Pereira Loureiro, Juan Luis Pérez Ordóñez, Jorge Teijeiro Vidal, Alejandro Pazos:
The impact of design on the implementation of medical imaging information systems. CARS 2004: 1267 - [c14]Nieves Pedreira, Julián Dorado, Juan R. Rabuñal, Alejandro Pazos, Andrés Silva:
Knowledge Management and Interactive Learning. EKAW 2004: 481-482 - [c13]Daniel Rivero, Juan R. Rabuñal, Julián Dorado, Alejandro Pazos:
Using Genetic Programming for Character Discrimination in Damaged Documents. EvoWorkshops 2004: 349-358 - [c12]Nieves Pedreira, Julián Dorado, Juan R. Rabuñal, Alejandro Pazos, Andrés Silva:
A Model of Virtual 'Learning to Learn'. ICALT 2004 - 2003
- [j6]Julián Dorado, Juan R. Rabuñal, Alejandro Pazos, Daniel Rivero, Antonino Santos, Jerónimo Puertas:
Prediction and Modeling of the Rainfall-Runoff Transformation of a Typical Urban Basin Using ANN and GP. Appl. Artif. Intell. 17(4): 329-343 (2003) - [c11]Daniel Rivero, Rafael Vidal, Julián Dorado, Juan R. Rabuñal, Alejandro Pazos:
Restoration of Old Documents with Genetic Algorithms. EvoWorkshops 2003: 432-443 - [c10]Juan R. Rabuñal, Julián Dorado, Alejandro Pazos, Daniel Rivero:
Rules and Generalization Capacity Extraction from ANN with GP. IWANN (1) 2003: 606-613 - 2002
- [j5]Antonino Santos, Bernardino Arcay Varela, Julián Dorado, A. B. Rodríguez, Alejandro Pazos:
Artificial Neural Networks Manipulation Server: Research on the Integration of Databases and Artificial Neural Networks. Neural Comput. Appl. 11(1): 3-16 (2002) - [j4]Alejandro Pazos Sierra:
High-order Fisher's discriminant analysis. Pattern Recognit. 35(6): 1291-1302 (2002) - [c9]Javier Pereira, Alfonso Castro Martínez, Dismer Ronda, Bernardino Arcay Varela, Alejandro Pazos:
Development of a System for Access to and Exploitation of Medical Images. CBMS 2002: 309-314 - [c8]Julián Dorado, Juan R. Rabuñal, Antonino Santos, Alejandro Pazos, Daniel Rivero:
Automatic Recurrent and Feed-Forward ANN Rule and Expression Extraction with Genetic Programming. PPSN 2002: 485-494 - 2001
- [c7]Julián Dorado, Antonino Santos, Juan R. Rabuñal, Nieves Pedreira, Alejandro Pazos:
Hybrid Two-Population Genetic Algorithm. Fuzzy Days 2001: 464-470 - [c6]