Explainable multi-layer COSFIRE filters robust to corruptions and boundary attack with application to retina and palmprint biometrics.

Manuel Castejón Limas Manuel Castejón https://scholar.google.com/citations?user=PN1_DF0AAAAJ https://scholar.google.com/citations?user=Fy8MnV8AAAAJ https://orcid.org/0000-0002-5152-4555 https://www.wikidata.org/entity/Q59213121 Universidad de León, Spain

Adrian Apap Amey Bhole Laura Fernández-Robles Manuel Castejón Limas George Azzopardi Explainable multi-layer COSFIRE filters robust to corruptions and boundary attack with application to retina and palmprint biometrics. 19231-19245 2024 October 36 Neural Comput. Appl. 30 https://doi.org/10.1007/s00521-024-10164-8 db/journals/nca/nca36.html#ApapBFLA24 streams/journals/nca

Manuel Castejón Limas Gabriel Medina Virginia Riego-Del Castillo Laura Fernández-Robles The formula for the completion time of project networks. 2024 abs/2410.10252 CoRR https://doi.org/10.48550/arXiv.2410.10252 db/journals/corr/corr2410.html#abs-2410-10252 streams/journals/corr

Hilde Pérez García Lidia Sánchez-González Manuel Castejón Limas Héctor Quintián Emilio Corchado Editorial: Special issue HAIS19-IGPL. 563-565 2022 30 Log. J. IGPL 4 https://doi.org/10.1093/jigpal/jzab002 db/journals/igpl/igpl30.html#GarciaSLQC22

Manuel Castejón Limas Laura Fernández-Robles Héctor Alaiz-Moretón Jaime Cifuentes-Rodriguez Camino Fernández Llamas A Framework for the Optimization of Complex Cyber-Physical Systems via Directed Acyclic Graph. 1490 2022 22 Sensors 4 https://doi.org/10.3390/s22041490 db/journals/sensors/sensors22.html#LimasFACL22

Virginia Riego-Del Castillo Lidia Sánchez-González Laura Fernández-Robles Manuel Castejón Limas Rubén Rebollar Estimation of Lamb Weight Using Transfer Learning and Regression. 23-30 2022 SOCO https://doi.org/10.1007/978-3-031-18050-7_3 conf/softcomp/2022 db/conf/softcomp/soco2022.html#CastilloSFLR22

Laura Fernández-Robles Lidia Sánchez-González Javier Díez-González Manuel Castejón Limas Hilde Pérez 0001 Use of image processing to monitor tool wear in micro milling. 333-340 2021 452 Neurocomputing https://doi.org/10.1016/j.neucom.2019.12.146 db/journals/ijon/ijon452.html#Fernandez-Robles21

Virginia Riego Manuel Castejón Limas Lidia Sánchez-González Laura Fernández-Robles Hilde Pérez 0001 Javier Díez-González Ángel Manuel Guerrero-Higueras Strong classification system for wear identification on milling processes using computer vision and ensemble learning. 678-684 2021 456 Neurocomputing https://doi.org/10.1016/j.neucom.2020.07.131 db/journals/ijon/ijon456.html#RiegoLSFPDH21

Ángel Manuel Guerrero-Higueras Lidia Sánchez-González Miguel Ángel Conde González Manuel Castejón Limas Facilitating the learning process in parallel computing by using instant messaging. 3899-3913 2021 77 J. Supercomput. 4 https://doi.org/10.1007/s11227-020-03416-6 db/journals/tjs/tjs77.html#HiguerasSGL21

Manuel Castejón Limas Héctor Alaiz-Moretón Laura Fernández-Robles Javier Alfonso-Cendón Camino Fernández Llamas Lidia Sánchez-González Hilde Pérez 0001 Non-removal strategy for outliers in predictive models: The PAELLA algorithm case. 418-429 2020 28 Log. J. IGPL 4 https://doi.org/10.1093/jigpal/jzz052 https://www.wikidata.org/entity/Q127147662 db/journals/igpl/igpl28.html#LimasAFALSP20

Manuel Castejón Limas Héctor Alaiz-Moretón Laura Fernández-Robles Javier Alfonso-Cendón Camino Fernández 0001 Lidia Sánchez-González Hilde Pérez 0001 Robust weighted regression via PAELLA sample weights. 325-333 2020 391 Neurocomputing https://doi.org/10.1016/j.neucom.2019.03.108 db/journals/ijon/ijon391.html#LimasAFAFSP20

Lidia Sánchez-González Virginia Riego Manuel Castejón Limas Laura Fernández-Robles Local Binary Pattern Features to Detect Anomalies in Machined Workpiece. 665-673 2020 HAIS https://doi.org/10.1007/978-3-030-61705-9_55 conf/hais/2020 db/conf/hais/hais2020.html#Sanchez-Gonzalez20 Virginia Riego-Del Castillo Lidia Sánchez-González Laura Fernández-Robles Manuel Castejón Limas Burr Detection Using Image Processing in Milling Workpieces. 751-759 2020 SOCO https://doi.org/10.1007/978-3-030-57802-2_72 conf/softcomp/2020 db/conf/softcomp/soco2020.html#CastilloSFL20 Miguel Á. Conde Francisco Jesús Rodríguez-Sedano Camino Fernández 0001 Alexis Gutiérrez-Fernández Laura Fernández-Robles Manuel Castejón Limas A Learning Analytics tool for the analysis of students' Telegram messages in the context of teamwork virtual activities. 719-724 2020 TEEM https://doi.org/10.1145/3434780.3436601 conf/teem/2020 db/conf/teem/teem2020.html#CondeRFGFL20

Héctor Alaiz-Moretón Laura Fernández-Robles Javier Alfonso-Cendón Manuel Castejón Limas Lidia Sánchez-González Hilde Pérez García Ground-level ozone predictions using outlier identification leveraged sample weighted regressors. 829-840 2019 31 J. Exp. Theor. Artif. Intell. 6 https://doi.org/10.1080/0952813X.2018.1509898 https://www.wikidata.org/entity/Q57549536 db/journals/jetai/jetai31.html#Alaiz-MoretonFA19

Oscar García-Olalla Laura Fernández-Robles Enrique Alegre Manuel Castejón Limas Eduardo Fidalgo Boosting Texture-Based Classification by Describing Statistical Information of Gray-Levels Differences. 1048 2019 19 Sensors 5 https://doi.org/10.3390/s19051048 https://www.wikidata.org/entity/Q64084872 db/journals/sensors/sensors19.html#Garcia-OlallaFA19

Héctor Alaiz-Moretón Manuel Castejón Limas José Luís Casteleiro-Roca Esteban Jove Laura Fernández-Robles José Luís Calvo-Rolle A Fault Detection System for a Geothermal Heat Exchanger Sensor Based on Intelligent Techniques. 2740 2019 19 Sensors 12 https://doi.org/10.3390/s19122740 https://www.wikidata.org/entity/Q92879693 db/journals/sensors/sensors19.html#Alaiz-MoretonLC19

Javier Díez-González Rubén Álvarez Lidia Sánchez-González Laura Fernández-Robles Hilde Pérez 0001 Manuel Castejón Limas 3D Tdoa Problem Solution with Four Receiving Nodes. 2892 2019 19 Sensors 13 https://doi.org/10.3390/s19132892 https://www.wikidata.org/entity/Q91520104 db/journals/sensors/sensors19.html#Diez-GonzalezAS19

Rubén Álvarez Javier Díez-González Efrén Alonso Laura Fernández-Robles Manuel Castejón Limas Hilde Pérez 0001 Accuracy Analysis in Sensor Networks for Asynchronous Positioning Methods. 3024 2019 19 Sensors 13 https://doi.org/10.3390/s19133024 https://www.wikidata.org/entity/Q92028490 db/journals/sensors/sensors19.html#AlvarezDAFLP19

Javier Díez-González Rubén Álvarez David González-Bárcena Lidia Sánchez-González Manuel Castejón Limas Hilde Pérez 0001 Genetic Algorithm Approach to the 3D Node Localization in TDOA Systems. 3880 2019 19 Sensors 18 https://doi.org/10.3390/s19183880 https://www.wikidata.org/entity/Q90040535 db/journals/sensors/sensors19.html#Diez-GonzalezAG19

Manuel Castejón Limas Lidia Sánchez-González Javier Díez-González Laura Fernández-Robles Virginia Riego Hilde Pérez 0001 Texture Descriptors for Automatic Estimation of Workpiece Quality in Milling. 734-744 2019 HAIS https://doi.org/10.1007/978-3-030-29859-3_62 conf/hais/2019 db/conf/hais/hais2019.html#LimasSDFRP19 Rashid Mijumbi Abhaya Asthana Carlos Bernal Manuel Castejón MAYOR: Machine Learning and Analytics for Automated Operations and Recovery. 1-9 2019 ICCCN https://doi.org/10.1109/ICCCN.2019.8847092 conf/icccn/2019 db/conf/icccn/icccn2019.html#MijumbiABC19 Ángel Manuel Guerrero-Higueras Lidia Sánchez-González Miguel Ángel Conde Francisco J. Rodríguez-Lera Manuel Castejón Limas Nicolai Petkov Facilitating the learning process in parallel computing by using instant messaging. 558-563 2019 TEEM https://doi.org/10.1145/3362789.3362877 https://www.wikidata.org/entity/Q130991435 conf/teem/2019 db/conf/teem/teem2019.html#HiguerasSCLLP19 Hilde Pérez García Lidia Sánchez-González Manuel Castejón Limas Héctor Quintián-Pardo Emilio S. Corchado Rodríguez Hybrid Artificial Intelligent Systems - 14th International Conference, HAIS 2019, León, Spain, September 4-6, 2019, Proceedings HAIS Springer 2019 Lecture Notes in Computer Science 11734 978-3-030-29858-6 978-3-030-29859-3 https://doi.org/10.1007/978-3-030-29859-3 db/conf/hais/hais2019.html

Lidia Sánchez-González Laura Fernández-Robles Manuel Castejón Limas Javier Alfonso-Cendón Hilde Pérez 0001 Héctor Quintián Emilio Corchado Use of classifiers and recursive feature elimination to assess boar sperm viability. 629-637 2018 26 Log. J. IGPL 6 https://doi.org/10.1093/jigpal/jzy027 https://www.wikidata.org/entity/Q62040567 db/journals/igpl/igpl26.html#Sanchez-Gonzalez18

Héctor Alaiz-Moretón José Luís Casteleiro-Roca Laura Fernández-Robles Esteban Jove Manuel Castejón Limas José Luís Calvo-Rolle Sensor Fault Detection and Recovery Methodology for a Geothermal Heat Exchanger. 171-184 2018 HAIS https://doi.org/10.1007/978-3-319-92639-1_15 https://www.wikidata.org/entity/Q57549540 conf/hais/2018 db/conf/hais/hais2018.html#Alaiz-MoretonCF18 Laura Fernández-Robles Noelia Charro Lidia Sánchez-González Hilde Pérez 0001 Manuel Castejón Limas Javier Alfonso-Cendón Tool Wear Estimation and Visualization Using Image Sensors in Micro Milling Manufacturing. 399-410 2018 HAIS https://doi.org/10.1007/978-3-319-92639-1_33 conf/hais/2018 db/conf/hais/hais2018.html#Fernandez-Robles18

Lidia Sánchez Javier Alfonso-Cendón Tiago Oliveira 0002 Joaquín B. Ordieres Meré Manuel Castejón Limas Paulo Novais Information system for image classification based on frequency curve proximity. 12-21 2017 64 Inf. Syst. https://doi.org/10.1016/j.is.2016.08.001 https://www.wikidata.org/entity/Q58427388 db/journals/is/is64.html#SanchezAOMLN17

Manuel Castejón Limas Héctor Alaiz-Moretón Laura Fernández-Robles Javier Alfonso-Cendón Camino Fernández Llamas Lidia Sánchez-González Hilde Pérez 0001 PAELLA as a Booster in Weighted Regression. 259-265 2017 SOCO-CISIS-ICEUTE https://doi.org/10.1007/978-3-319-67180-2_25 https://www.wikidata.org/entity/Q57549554 conf/softcomp/2017 db/conf/softcomp/soco2017.html#LimasAFALSP17 Héctor Alaiz-Moretón Laura Fernández-Robles Javier Alfonso-Cendón Manuel Castejón Limas Lidia Sánchez-González Hilde Pérez 0001 Data Mining Techniques for the Estimation of Variables in Health-Related Noisy Data. 482-491 2017 SOCO-CISIS-ICEUTE https://doi.org/10.1007/978-3-319-67180-2_47 https://www.wikidata.org/entity/Q57549549 conf/softcomp/2017 db/conf/softcomp/soco2017.html#Alaiz-MoretonFA17 Manuel Castejón Limas Héctor Alaiz-Moretón Laura Fernández-Robles Javier Alfonso-Cendón Camino Fernández Llamas Lidia Sánchez-González Hilde Pérez 0001 Coupling the PAELLA Algorithm to Predictive Models. 505-512 2017 SOCO-CISIS-ICEUTE https://doi.org/10.1007/978-3-319-67180-2_49 https://www.wikidata.org/entity/Q57549545 conf/softcomp/2017 db/conf/softcomp/soco2017.html#LimasAFALSP17a Laura Fernández-Robles Manuel Castejón Limas Javier Alfonso-Cendón Gabriel Medina Teaching Project Management to Multicultural Students: A Case Study at Universities of León and Xiangtan. 736-742 2017 SOCO-CISIS-ICEUTE https://doi.org/10.1007/978-3-319-67180-2_72 conf/softcomp/2017 db/conf/softcomp/soco2017.html#Fernandez-Robles17 Ana González-Marcos Rubén Olarte-Valentín Elisa Sainz-García Rodolfo Múgica-Vidal Manuel Castejón Limas A Virtual Learning Environment to Support Project Management Teaching. 751-759 2017 SOCO-CISIS-ICEUTE https://doi.org/10.1007/978-3-319-67180-2_74 conf/softcomp/2017 db/conf/softcomp/soco2017.html#Gonzalez-Marcos17 Laura Fernández-Robles Héctor Alaiz-Moretón Javier Alfonso-Cendón Manuel Castejón Limas Luis Panizo-Alonso Machine learning insights on the learning process. 349-353 2016 TEEM https://doi.org/10.1145/3012430.3012539 https://www.wikidata.org/entity/Q57549575 conf/teem/2016 db/conf/teem/teem2016.html#Fernandez-Robles16 Javier Alfonso Manuel Castejón Limas Lidia Sánchez Raquel González José Vallepuga Development of Projects as a Collaborative Tool for Competence Acquisition in the European Space for Higher Education Framework. 651-658 2013 SOCO-CISIS-ICEUTE https://doi.org/10.1007/978-3-319-01854-6_66 conf/softcomp/2013 db/conf/softcomp/soco2013.html#AlfonsoLSGV13

Manuel Castejón Limas Joaquín B. Ordieres Meré Ana González-Marcos Víctor González-Castro Effort estimates through project complexity. 395-406 2011 186 Ann. Oper. Res. 1 https://doi.org/10.1007/s10479-010-0776-0 https://www.wikidata.org/entity/Q58427506 db/journals/anor/anor186.html#LimasMGG11

Ana González-Marcos Fernando Alba-Elías Manuel Castejón Limas Joaquín B. Ordieres Meré Development of neural network-based models to predict mechanical properties of hot dip galvanised steel coils. 389-405 2011 3 Int. J. Data Min. Model. Manag. 4 https://doi.org/10.1504/IJDMMM.2011.042936 https://www.wikidata.org/entity/Q58427502 db/journals/ijdmmm/ijdmmm3.html#Gonzalez-MarcosALM11

Enrique Crespo Fernando Alba-Elías Ana González-Marcos Joaquín B. Ordieres Meré Manuel Castejón Limas Project Management Learning in a Collaborative Distant Learning Context - An Actual On-going Experience. 105-110 2011 CSEDU (2) conf/csedu/2011-2 db/conf/csedu/csedu2011-2.html#CrespoAGOL11 Enrique Crespo Ana González-Marcos Fernando Alba-Elías Manuel Castejón Limas Joaquín B. Ordieres Meré An improved way for evaluating competences: A different approach to project management learning. 1-4 2011 EUROCON https://doi.org/10.1109/EUROCON.2011.5929219 https://www.wikidata.org/entity/Q58427495 conf/eurocon/2011 db/conf/eurocon/eurocon2011.html#CrespoGELM11 Javier Alfonso-Cendón Ana González-Marcos Manuel Castejón Limas Joaquín B. Ordieres Meré A Multi-agent Data Mining System for Defect Forecasting in a Decentralized Manufacturing Environment. 43-50 2010 CISIS https://doi.org/10.1007/978-3-642-16626-6_5 conf/cisis-spain/2010 db/conf/cisis-spain/cisis2010.html#Alfonso-CendonGLM10 Joaquín B. Ordieres Meré Manuel Castejón Limas Ana González-Marcos Data Mining Applications in Steel Industry. 400-405 2009 Encyclopedia of Data Warehousing and Mining http://www.igi-global.com/Bookstore/Chapter.aspx?TitleId=10851 reference/dataware/2009 db/reference/dataware/dataware2009.html#MereLG09

Antonio Ciampi Yves Lechevallier Manuel Castejón Limas Ana González-Marcos Hierarchical clustering of subpopulations with a dissimilarity based on the likelihood ratio statistic: application to clustering massive data sets. 199-220 2008 11 Pattern Anal. Appl. 2 https://doi.org/10.1007/s10044-007-0088-4 db/journals/paa/paa11.html#CiampiLLG08

Enrique Alegre Joaquín Barreiro Manuel Castejón Sir Suarez Computer Vision and Classification Techniques on the Surface Finish Control in Machining Processes. 1101-1110 2008 ICIAR https://doi.org/10.1007/978-3-540-69812-8_110 conf/iciar/2008 db/conf/iciar/iciar2008.html#AlegreBCS08

Manuel Castejón Limas Joaquín B. Ordieres Meré Francisco J. Martínez de Pisón Ascacibar Eliseo P. Vergara González Outlier Detection and Data Cleaning in Multivariate Non-Normal Samples: The <i>PAELLA</i> Algorithm. 171-187 2004 9 Data Min. Knowl. Discov. 2 https://doi.org/10.1023/B:DAMI.0000031630.50685.7c https://www.wikidata.org/entity/Q58427583 db/journals/datamine/datamine9.html#LimasMAG04

Héctor Alaiz-Moretón Fernando Alba-Elías Enrique Alegre Javier Alfonso-CendónJavier Alfonso Efrén Alonso Rubén Álvarez Adrian Apap Francisco J. Martínez de Pisón Ascacibar Abhaya Asthana George Azzopardi Joaquín Barreiro Carlos Bernal Amey Bhole José Luís Calvo-Rolle José Luís Casteleiro-Roca Virginia Riego-Del CastilloVirginia Riego Noelia Charro Antonio Ciampi Jaime Cifuentes-Rodriguez Emilio CorchadoEmilio S. Corchado Rodríguez Enrique Crespo Javier Díez-González Camino Fernández 0001Camino Fernández Llamas Laura Fernández-Robles Eduardo Fidalgo Oscar García-Olalla Eliseo P. Vergara González Miguel Ángel Conde GonzálezMiguel Ángel CondeMiguel Á. Conde Raquel González David González-Bárcena Víctor González-Castro Ana González-Marcos Ángel Manuel Guerrero-Higueras Alexis GutiérrezAlexis Gutiérrez-Fernández Esteban Jove Yves Lechevallier Gabriel Medina Joaquín B. Ordieres Meré Rashid Mijumbi Rodolfo Múgica-Vidal Paulo Novais Rubén Olarte-Valentín Tiago Oliveira 0002 Luis Panizo-Alonso Hilde Pérez 0001Hilde Pérez García Nicolai Petkov Héctor QuintiánHéctor Quintián-Pardo Rubén Rebollar Francisco J. Rodríguez-Lera Francisco Jesús Rodríguez-Sedano Elisa Sainz-García Lidia Sánchez-GonzálezLidia Sánchez Sir Suarez José Vallepuga