Daniel Mateos García

@inproceedings{prisma286616,

title = {Counterfactual Simulation for Estimating Performance Loss in PV Systems: A Machine Learning Approach},

author = {José E. Sánchez-López and José María Luna-Romera and Daniel Mateos-García and F. Javier Galán-Sales},

url = {https://prisma.us.es/publicacion/286616},

doi = {10.1007/978-3-032-19763-4_16},

year  = {2026},

date = {2026-01-01},

booktitle = {Communications in Computer and Information Science},

volume = {2806 CCIS},

pages = {171–181},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{prisma276958,

title = {Improving Liver Graft Decision-Making Through AI: Validation with Internal and National Datasets},

author = {Miguel Cuende and Beatriz Pontes and Juan M. Castillo Tuñón and Daniel Mateos García and Luis M. Marín Gómez and José C. Riquelme Santos and Gloria Rosa Rodríguez},

url = {https://prisma.us.es/publicacion/276958},

doi = {10.1007/978-3-032-10661-2_12},

year  = {2026},

date = {2026-01-01},

booktitle = {Lecture Notes in Computer Science},

volume = {16148 LNBI},

pages = {149–162},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{prisma82661,

title = {A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation},

author = {Jorge García-Gutiérrez and Eduardo González-Ferreiro and Daniel Mateos-García and José C. Riquelme-Santos},

url = {https://prisma.us.es/publicacion/82661},

doi = {10.1007/978-3-319-32034-2_49},

year  = {2016},

date = {2016-01-01},

booktitle = {HYBRID ARTIFICIAL INTELLIGENT SYSTEMS},

volume = {9648},

pages = {588–596},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{prisma82670,

title = {Improving the k-nearest neighbour rule by an evolutionary voting approach},

author = {Jorge García-Gutiérrez and Daniel Mateos-García and José C. Riquelme-Santos},

url = {https://prisma.us.es/publicacion/82670},

doi = {10.1007/978-3-319-07617-1_27},

year  = {2014},

date = {2014-01-01},

booktitle = {HYBRID ARTIFICIAL INTELLIGENCE SYSTEMS, HAIS 2014},

volume = {8480 LNAI},

pages = {296–305},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{prisma82672,

title = {A non-parametric approach for accurate contextual classification of LIDAR and imagery data fusion},

author = {Jorge Garcia-Gutierrez and Daniel Mateos-Garcia and Jose C. Riquelme-Santos},

url = {https://prisma.us.es/publicacion/82672},

doi = {10.1007/978-3-642-28931-6_44},

year  = {2012},

date = {2012-01-01},

booktitle = {HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, PT II},

volume = {7209 LNAI},

number = {PART 2},

pages = {455–466},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{prisma84391,

title = {A comparative study between two regression methods on LiDAR data: A case study},

author = {Jorge García-Gutiérrez and Eduardo González-Ferreiro and Daniel Mateos-García and Jose C. Riquelme-Santos and David Miranda},

url = {https://prisma.us.es/publicacion/84391},

doi = {10.1007/978-3-642-21222-2_38},

year  = {2011},

date = {2011-01-01},

booktitle = {Hybrid Artificial Intelligent Systems: 6th International Conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011, Proceedings, Part II},

volume = {6679 LNAI},

number = {PART 2},

pages = {311–318},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{prisma84392,

title = {A SVM and k-NN restricted stacking to improve land use and land cover classification},

author = {Jorge Garcia-Gutierrez and Daniel Mateos-Garcia and Jose C. Riquelme-Santos},

url = {https://prisma.us.es/publicacion/84392},

doi = {10.1007/978-3-642-13803-4_61},

year  = {2010},

date = {2010-01-01},

booktitle = {HYBRID ARTIFICIAL INTELLIGENCE SYSTEMS, PT 2},

volume = {6077 LNAI},

number = {PART 2},

pages = {493–500},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{prisma84393,

title = {Label dependent evolutionary feature weighting for remote sensing data},

author = {Daniel Mateos-García and Jorge García-Gutiérrez and José C. Riquelme-Santos},

url = {https://prisma.us.es/publicacion/84393},

doi = {10.1007/978-3-642-13803-4_34},

year  = {2010},

date = {2010-01-01},

booktitle = {HYBRID ARTIFICIAL INTELLIGENCE SYSTEMS, PT 2},

volume = {6077 LNAI},

number = {PART 2},

pages = {272–279},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{prisma148786,

title = {Evolutionary segmentation of yeast genome},

author = {Daniel Mateos and José C. Riquelme and Jesús S. Aguilar-Ruiz},

url = {https://prisma.us.es/publicacion/148786},

doi = {10.1145/967900.968108},

year  = {2004},

date = {2004-01-01},

booktitle = {Proceedings of the ACM Symposium on Applied Computing},

volume = {2},

pages = {1026–1027},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}