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Journal Articles
- 2024
[j46]Rohaifa Khaldi
, Siham Tabik, Sergio Puertas-Ruíz, Julio Peñas de Giles, José Antonio Hódar Correa, Regino Zamora, Domingo Alcaraz-Segura:
Individual mapping of large polymorphic shrubs in high mountains using satellite images and deep learning. Int. J. Appl. Earth Obs. Geoinformation 134: 104191 (2024)- [j45]Ana Sofia Cardoso, Eva Malta-Pinto, Siham Tabik, Tom August, Helen E. Roy, Ricardo Correia, Joana R. Vicente, Ana Sofia Vaz:
Can citizen science and social media images support the detection of new invasion sites? A deep learning test case with Cortaderia selloana. Ecol. Informatics 81: 102602 (2024) - [j44]José Rodríguez-Ortega, Rohaifa Khaldi, Domingo Alcaraz-Segura, Siham Tabik:
Bidirectional Recurrent Imputation and Abundance Estimation of LULC Classes With MODIS Multispectral Time-Series and Geo-Topographic and Climatic Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 4626-4645 (2024) - [j43]A. J. Sanchez-Fernandez, Sergio Moreno-Álvarez, Juan-Antonio Rico-Gallego, Siham Tabik:
Self-Supervised Learning on Small In-Domain Datasets Can Overcome Supervised Learning in Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 12797-12810 (2024) - 2023
- [j42]Rohaifa Khaldi, Abdellatif El Afia, Raddouane Chiheb, Siham Tabik:
What is the best RNN-cell structure to forecast each time series behavior? Expert Syst. Appl. 215: 119140 (2023) - 2022
- [j41]Alberto Lamas, Siham Tabik, Antonio Cano Montes, Francisco Pérez-Hernández, Jorge García-Torres Fernández, Roberto Olmos, Francisco Herrera:
Human pose estimation for mitigating false negatives in weapon detection in video-surveillance. Neurocomputing 489: 488-503 (2022) - [j40]Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera:
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case. Inf. Fusion 79: 58-83 (2022) - [j39]Andres Jesus Sanchez, Luis F. Romero, Gerardo Bandera, Siham Tabik:
VPP: Visibility-Based Path Planning Heuristic for Monitoring Large Regions of Complex Terrain Using a UAV Onboard Camera. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 944-955 (2022) - 2021
- [j38]A. J. Sanchez-Fernandez, Luis F. Romero, Gerardo Bandera, Siham Tabik:
A data relocation approach for terrain surface analysis on multi-GPU systems: a case study on the total viewshed problem. Int. J. Geogr. Inf. Sci. 35(8): 1500-1520 (2021) - [j37]Alberto Lamas, Siham Tabik, Policarpo Cruz, Rosana Montes, Álvaro Martínez-Sevilla, Teresa Cruz, Francisco Herrera:
MonuMAI: Dataset, deep learning pipeline and citizen science based app for monumental heritage taxonomy and classification. Neurocomputing 420: 266-280 (2021) - [j36]Aritz D. Martinez, Javier Del Ser, Esther Villar-Rodriguez, Eneko Osaba, Javier Poyatos, Siham Tabik, Daniel Molina, Francisco Herrera:
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges. Inf. Fusion 67: 161-194 (2021) - [j35]Emilio Guirado, Javier Blanco-Sacristán, Emilio Rodríguez-Caballero, Siham Tabik, Domingo Alcaraz-Segura, Jaime Martínez Valderrama, Javier Cabello:
Mask R-CNN and OBIA Fusion Improves the Segmentation of Scattered Vegetation in Very High-Resolution Optical Sensors. Sensors 21(1): 320 (2021) - [j34]Anastasiia Safonova, Emilio Guirado, Yuriy Maglinets, Domingo Alcaraz-Segura, Siham Tabik:
Olive Tree Biovolume from UAV Multi-Resolution Image Segmentation with Mask R-CNN. Sensors 21(5): 1617 (2021) - [j33]Francisco Pérez-Hernández, José Rodríguez-Ortega, Yassir Benhammou, Francisco Herrera, Siham Tabik:
CI-Dataset and DetDSCI Methodology for Detecting Too Small and Too Large Critical Infrastructures in Satellite Images: Airports and Electrical Substations as Case Study. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 12149-12162 (2021) - 2020
- [j32]Andres Jesus Sanchez, Luis F. Romero, Daniel Peralta, Miguel Angel Medina-Pérez, Yvan Saeys, Francisco Herrera, Siham Tabik:
Asynchronous Processing for Latent Fingerprint Identification on Heterogeneous CPU-GPU Systems. IEEE Access 8: 124236-124253 (2020) - [j31]Yassir Benhammou, Boujemâa Achchab, Francisco Herrera, Siham Tabik:
BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights. Neurocomputing 375: 9-24 (2020) - [j30]Gioele Ciaparrone, Francisco Luque Sánchez, Siham Tabik, Luigi Troiano, Roberto Tagliaferri, Francisco Herrera:
Deep learning in video multi-object tracking: A survey. Neurocomputing 381: 61-88 (2020) - [j29]Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera:
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Inf. Fusion 58: 82-115 (2020) - [j28]Siham Tabik, Ricardo F. Alvear-Sandoval, María M. Ruiz, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Francisco Herrera:
MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1% error rate. Ensembles overview and proposal. Inf. Fusion 62: 73-80 (2020) - [j27]Manuel Rey-Area, Emilio Guirado, Siham Tabik, Javier Ruiz Hidalgo:
FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations. Inf. Fusion 63: 188-195 (2020) - [j26]Francisco Luque Sánchez, Isabelle Hupont, Siham Tabik, Francisco Herrera:
Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects. Inf. Fusion 64: 318-335 (2020) - [j25]Francisco Pérez-Hernández, Siham Tabik, Alberto Castillo Lamas, Roberto Olmos, Hamido Fujita, Francisco Herrera:
Object Detection Binary Classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance. Knowl. Based Syst. 194: 105590 (2020) - [j24]Emilio Guirado, Domingo Alcaraz-Segura, Javier Cabello, Sergio Puertas-Ruíz, Francisco Herrera, Siham Tabik:
Tree Cover Estimation in Global Drylands from Space Using Deep Learning. Remote. Sens. 12(3): 343 (2020) - [j23]Siham Tabik, Anabel Gómez-Ríos, J. L. Martín-Rodríguez, I. Sevillano-García, Manuel Rey-Area, David Charte, Emilio Guirado, Juan-Luis Suárez, Julián Luengo, M. A. Valero-González, P. García-Villanova, Eulalia Olmedo-Sánchez, Francisco Herrera:
COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images. IEEE J. Biomed. Health Informatics 24(12): 3595-3605 (2020) - 2019
- [j22]Anabel Gómez-Ríos, Siham Tabik, Julián Luengo, A. S. M. Shihavuddin, Bartosz Krawczyk, Francisco Herrera:
Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation. Expert Syst. Appl. 118: 315-328 (2019) - [j21]Alberto Castillo, Siham Tabik, Francisco Pérez, Roberto Olmos, Francisco Herrera:
Brightness guided preprocessing for automatic cold steel weapon detection in surveillance videos with deep learning. Neurocomputing 330: 151-161 (2019) - [j20]Roberto Olmos, Siham Tabik, Alberto Castillo Lamas, Francisco Pérez-Hernández, Francisco Herrera:
A binocular image fusion approach for minimizing false positives in handgun detection with deep learning. Inf. Fusion 49: 271-280 (2019) - [j19]Cristina Zuheros, Siham Tabik, Ana Valdivia, Eugenio Martínez-Cámara, Francisco Herrera:
Deep recurrent neural network for geographical entities disambiguation on social media data. Knowl. Based Syst. 173: 117-127 (2019) - [j18]Anabel Gómez-Ríos, Siham Tabik, Julián Luengo, A. S. M. Shihavuddin, Francisco Herrera:
Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks. Knowl. Based Syst. 184 (2019) - [j17]Anastasiia Safonova, Siham Tabik, Domingo Alcaraz-Segura, Alexey Rubtsov, Yuriy Maglinets, Francisco Herrera:
Detection of Fir Trees (Abies sibirica) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning. Remote. Sens. 11(6): 643 (2019) - 2018
- [j16]Roberto Olmos, Siham Tabik, Francisco Herrera:
Automatic handgun detection alarm in videos using deep learning. Neurocomputing 275: 66-72 (2018) - [j15]Siham Tabik, Maurice Peemen, Luis F. Romero:
A tuning approach for iterative multiple 3d stencil pipeline on GPUs: Anisotropic Nonlinear Diffusion algorithm as case study. J. Supercomput. 74(4): 1580-1608 (2018) - 2017
- [j14]Siham Tabik, Daniel Peralta, Andrés Herrera-Poyatos, Francisco Herrera:
A snapshot of image pre-processing for convolutional neural networks: case study of MNIST. Int. J. Comput. Intell. Syst. 10(1): 555-568 (2017) - [j13]Emilio Guirado, Siham Tabik, Domingo Alcaraz-Segura, Javier Cabello, Francisco Herrera:
Deep-learning Versus OBIA for Scattered Shrub Detection with Google Earth Imagery: Ziziphus lotus as Case Study. Remote. Sens. 9(12): 1220 (2017) - [j12]Antonio Rodriguez Cervilla, Siham Tabik, Jesús M. Vías, Matías Mérida, Luis F. Romero:
Total 3D-viewshed Map: Quantifying the Visible Volume in Digital Elevation Models. Trans. GIS 21(3): 591-607 (2017) - 2015
- [j11]Siham Tabik, Maurice Peemen, Nicolás Guil, Henk Corporaal:
Demystifying the 16 × 16 thread-block for stencils on the GPU. Concurr. Comput. Pract. Exp. 27(18): 5557-5573 (2015) - [j10]Siham Tabik, Antonio Rodriguez Cervilla, Emilio L. Zapata, Luis F. Romero:
Efficient Data Structure and Highly Scalable Algorithm for Total-Viewshed Computation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(1): 304-310 (2015) - 2014
- [j9]Siham Tabik, Gloria Ortega López, Ester M. Garzón:
Performance evaluation of kernel fusion BLAS routines on the GPU: iterative solvers as case study. J. Supercomput. 70(2): 577-587 (2014) - 2013
- [j8]Siham Tabik, Emilio L. Zapata, Luis F. Romero:
Simultaneous computation of total viewshed on large high resolution grids. Int. J. Geogr. Inf. Sci. 27(4): 804-814 (2013) - [j7]Siham Tabik, Alejandro Villegas, Emilio L. Zapata, Luis F. Romero:
Optimal tilt and orientation maps: a multi-algorithm approach for heterogeneous multicore-GPU systems. J. Supercomput. 66(1): 135-147 (2013) - 2012
- [j6]Siham Tabik, Luis F. Romero, Petar Mimica, Oscar G. Plata, Emilio L. Zapata:
VLBI-resolution radio-map algorithms: Performance analysis of different levels of data-sharing on multi-socket, multi-core architectures. Comput. Phys. Commun. 183(9): 1937-1946 (2012) - 2011
- [j5]Siham Tabik, Luis F. Romero, Emilio L. Zapata:
High-performance three-horizon composition algorithm for large-scale terrains. Int. J. Geogr. Inf. Sci. 25(4): 541-555 (2011) - 2010
- [j4]Domingo Alcaraz-Segura, Elisa Liras, Siham Tabik, José M. Paruelo, Javier Cabello:
Evaluating the Consistency of the 1982-1999 NDVI Trends in the Iberian Peninsula across Four Time-series Derived from the AVHRR Sensor: LTDR, GIMMS, FASIR, and PAL-II. Sensors 10(2): 1291-1314 (2010) - 2008
- [j3]Siham Tabik, Luis F. Romero, Ester M. Garzón, Juan I. Ramos:
On a model of three-dimensional bursting and its parallel implementation. Comput. Phys. Commun. 178(7): 471-485 (2008) - [j2]Luis F. Romero, Siham Tabik, Jesús M. Vías, Emilio L. Zapata:
Fast clear-sky solar irradiation computation for very large digital elevation models. Comput. Phys. Commun. 178(11): 800-808 (2008) - 2007
- [j1]Siham Tabik, Ester M. Garzón, Inmaculada García, José-Jesús Fernández:
High performance noise reduction for biomedical multidimensional data. Digit. Signal Process. 17(4): 724-736 (2007)
Conference and Workshop Papers
- 2018
- [c20]Andres Jesus Sanchez, Luis Felipe Romero, Siham Tabik, Miguel Angel Medina-Pérez, Francisco Herrera:
A First Step to Accelerating Fingerprint Matching Based on Deformable Minutiae Clustering. CAEPIA 2018: 361-371 - [c19]Julián Fernando Muñoz-Ordóñez, Carlos Cobos, Martha Mendoza, Enrique Herrera-Viedma, Francisco Herrera, Siham Tabik:
Framework for the Training of Deep Neural Networks in TensorFlow Using Metaheuristics. IDEAL (1) 2018: 801-811 - [c18]Yassir Benhammou, Siham Tabik, Boujemâa Achchab, Francisco Herrera:
A first study exploring the performance of the state-of-the art CNN model in the problem of breast cancer. LOPAL 2018: 47:1-47:6 - 2016
- [c17]Siham Tabik, Gloria Ortega López, Ester M. Garzón, D. Suárez:
A Data Partitioning Model for Highly Heterogeneous Systems. Euro-Par Workshops 2016: 468-479 - 2015
- [c16]Antonio Rodriguez Cervilla, Siham Tabik, Luis F. Romero:
3D-viewshed map: a measure of landscape deepness. SIGSPATIAL/GIS 2015: 74:1-74:4 - [c15]Antonio Rodriguez Cervilla, Siham Tabik, Luis F. Romero:
Siting Multiple Observers for Maximum Coverage: An Accurate Approach. ICCS 2015: 356-365 - 2014
- [c14]Siham Tabik, Alin Murarasu, Luis Felipe Romero:
Anisotropic nonlinear diffusion for filtering 3D images on GPUs. CLUSTER 2014: 339-345 - 2012
- [c13]Gladys Utrera, Siham Tabik, Julita Corbalán, Jesús Labarta:
A Job Scheduling Approach for Multi-core Clusters Based on Virtual Malleability. Euro-Par 2012: 191-203 - [c12]Siham Tabik, Alejandro Villegas, Emilio L. Zapata, Luis F. Romero:
A Fast GIS-tool to Compute the Maximum Solar Energy on Very Large Terrains. ICCS 2012: 364-372 - 2011
- [c11]Siham Tabik, Petar Mimica, Oscar G. Plata, Emilio L. Zapata, Luis F. Romero:
Spectral evolution simulation on leading multi-socket, multicore platforms. HiPC 2011: 1-10 - 2009
- [c10]Angeles G. Navarro, Rafael Asenjo, Siham Tabik, Calin Cascaval:
Analytical Modeling of Pipeline Parallelism. PACT 2009: 281-290 - [c9]Angeles G. Navarro, Rafael Asenjo, Siham Tabik, Calin Cascaval:
Load balancing using work-stealing for pipeline parallelism in emerging applications. ICS 2009: 517-518 - 2007
- [c8]Siham Tabik, Jesús M. Vías, Emilio L. Zapata, Luis F. Romero:
Fast Insolation Computation in Large Territories. International Conference on Computational Science (1) 2007: 54-61 - [c7]Siham Tabik, Luis F. Romero, Ester M. Garzón, Inmaculada García, Juan I. Ramos:
Three-Dimensional Bursting Simulation on Two Parallel Systems. ICCSA (3) 2007: 941-949 - 2006
- [c6]Siham Tabik, Ester M. Garzón, Inmaculada García, José-Jesús Fernández:
Evaluation of Parallel Paradigms on Anisotropic Nonlinear Diffusion. Euro-Par 2006: 1159-1168 - [c5]Siham Tabik, Luis F. Romero, Ester M. Garzón, Juan I. Ramos:
Parallel Simulation of Three-Dimensional Bursting with MPI and OpenMP. International Conference on Computational Science (2) 2006: 106-113 - [c4]Siham Tabik, Ester M. Garzón, Inmaculada García, José-Jesús Fernández:
Multiprocessing of Anisotropic Nonlinear Diffusion for Filtering 3D Images. PDP 2006: 21-27 - 2005
- [c3]Siham Tabik, Ester M. Garzón, Inmaculada García, José-Jesús Fernández:
Filtering 3D images in Structural Biology with Anisotropic Nonlinear Diffusion on SMP Clusters. PARCO 2005: 727-734 - 2004
- [c2]Ester M. Garzón, Siham Tabik, Inmaculada García, Amelia Rubio Bretones:
Multiprocessing of the Time Domain Analysis of Thin-Wire Antennas and Scatterers. PDP 2004: 80-87 - [c1]Ester M. Garzón, Siham Tabik, Amelia Rubio Bretones, Inmaculada García:
Analysis of the Interaction of Electromagnetic Signals with Thin-Wires Structures. Multiprocessing Issues for an Iterative Method. VECPAR 2004: 78-89
Data and Artifacts
- 2023
- [d1]Yassir Benhammou, José Rodríguez-Ortega, Domingo Alcaraz-Segura, Siham Tabik:
AndalUnmixingRGB: A dataset of Sentinel-2 RGB imagery acquired in Andalusia region of Spain, enriched with environmental ancillary data and annotated for blind Spectral Unmixing using Deep Learning (License CC BY 4.0). IEEE DataPort, 2023
Informal and Other Publications
- 2024
- [i17]Rohaifa Khaldi, Siham Tabik, Sergio Puertas-Ruíz, Julio Peñas de Giles, José Antonio Hódar Correa, Regino Zamora, Domingo Alcaraz-Segura:
Shrub of a thousand faces: an individual segmentation from satellite images using deep learning. CoRR abs/2401.17985 (2024) - [i16]Rohaifa Khaldi, Domingo Alcaraz-Segura, Ignacio Sánchez-Herrera, Javier Martínez-López, Carlos Javier Navarro, Siham Tabik:
On Large Uni- and Multi-modal Models for Unsupervised Classification of Social Media Images: Nature's Contribution to People as a case study. CoRR abs/2410.00275 (2024) - 2023
- [i15]José Rodríguez-Ortega, Rohaifa Khaldi, Domingo Alcaraz-Segura, Siham Tabik:
Deep Learning for blind spectral unmixing of LULC classes with MODIS multispectral time series and ancillary data. CoRR abs/2310.07223 (2023) - 2022
- [i14]Rohaifa Khaldi, Abdellatif El Afia, Raddouane Chiheb, Siham Tabik:
What is the best RNN-cell structure for forecasting each time series behavior? CoRR abs/2203.07844 (2022) - 2021
- [i13]Roberto Olmos, Siham Tabik, Francisco Pérez-Hernández, Alberto Lamas, Francisco Herrera:
MULTICAST: MULTI Confirmation-level Alarm SysTem based on CNN and LSTM to mitigate false alarms for handgun detection in video-surveillance. CoRR abs/2104.11653 (2021) - [i12]Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera:
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case. CoRR abs/2104.11914 (2021) - [i11]Francisco Pérez-Hernández, José Rodríguez-Ortega, Yassir Benhammou, Francisco Herrera, Siham Tabik:
Small and large scale critical infrastructures detection based on deep learning using high resolution orthogonal images. CoRR abs/2105.11844 (2021) - 2020
- [i10]Siham Tabik, Ricardo F. Alvear-Sandoval, María M. Ruiz, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Francisco Herrera:
A tutorial on ensembles and deep learning fusion with MNIST as guiding thread: A complex heterogeneous fusion scheme reaching 10 digits error. CoRR abs/2001.11486 (2020) - [i9]A. J. Sanchez-Fernandez, Luis F. Romero, Gerardo Bandera, Siham Tabik:
Array relocation approach for radial scanning algorithms on multi-GPU systems: total viewshed problem as a case study. CoRR abs/2003.02200 (2020) - [i8]Manuel Rey-Area, Emilio Guirado, Siham Tabik, Javier Ruiz Hidalgo:
FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations. CoRR abs/2005.08235 (2020) - [i7]Siham Tabik, Anabel Gómez-Ríos, J. L. Martín-Rodríguez, I. Sevillano-García, Manuel Rey-Area, David Charte, Emilio Guirado, Juan-Luis Suárez, Julián Luengo, M. A. Valero-González, P. García-Villanova, Eulalia Olmedo-Sánchez, Francisco Herrera:
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images. CoRR abs/2006.01409 (2020) - [i6]Aritz D. Martinez, Javier Del Ser, Esther Villar-Rodriguez, Eneko Osaba, Javier Poyatos, Siham Tabik, Daniel Molina, Francisco Herrera:
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges. CoRR abs/2008.03620 (2020) - 2019
- [i5]Gioele Ciaparrone, Francisco Luque Sánchez, Siham Tabik, Luigi Troiano, Roberto Tagliaferri, Francisco Herrera:
Deep Learning in Video Multi-Object Tracking: A Survey. CoRR abs/1907.12740 (2019) - [i4]Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera:
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI. CoRR abs/1910.10045 (2019) - 2018
- [i3]Anabel Gómez-Ríos, Siham Tabik, Julián Luengo, A. S. M. Shihavuddin, Bartosz Krawczyk, Francisco Herrera:
Towards Highly Accurate Coral Texture Images Classification Using Deep Convolutional Neural Networks and Data Augmentation. CoRR abs/1804.00516 (2018) - 2017
- [i2]Roberto Olmos, Siham Tabik, Francisco Herrera:
Automatic Handgun Detection Alarm in Videos Using Deep Learning. CoRR abs/1702.05147 (2017) - [i1]Emilio Guirado, Siham Tabik, Domingo Alcaraz-Segura, Javier Cabello, Francisco Herrera:
Deep-Learning Convolutional Neural Networks for scattered shrub detection with Google Earth Imagery. CoRR abs/1706.00917 (2017)
Coauthor Index
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