Multiprocessing of the Time Domain Analysis of Thin-Wire Antennas and Scatterers. - Ester M. Garzón; Siham Tabik; Inmaculada García; Amelia Rubio Bretones (PDP, 2004)

Analysis of the Interaction of Electromagnetic Signals with Thin-Wires Structures. Multiprocessing Issues for an Iterative Method. - Ester M. Garzón; Siham Tabik; Amelia Rubio Bretones; Inmaculada García (VECPAR, 2004)

Filtering 3D images in Structural Biology with Anisotropic Nonlinear Diffusion on SMP Clusters. - Siham Tabik; Ester M. Garzón; Inmaculada García; José-Jesús Fernández (PARCO, 2005)

Evaluation of Parallel Paradigms on Anisotropic Nonlinear Diffusion. - Siham Tabik; Ester M. Garzón; Inmaculada García; José-Jesús Fernández (Euro-Par, 2006)

Parallel Simulation of Three-Dimensional Bursting with MPI and OpenMP. - Siham Tabik; Luis F. Romero; Ester M. Garzón; Juan I. Ramos 001 (International Conference on Computational Science (2), 2006)

Multiprocessing of Anisotropic Nonlinear Diffusion for Filtering 3D Images. - Siham Tabik; Ester M. Garzón; Inmaculada García; José-Jesús Fernández (PDP, 2006)

Fast Insolation Computation in Large Territories. - Siham Tabik; Jesús M. Vías; Emilio L. Zapata; Luis F. Romero (International Conference on Computational Science (1), 2007)

Three-Dimensional Bursting Simulation on Two Parallel Systems. - Siham Tabik; Luis F. Romero; Ester M. Garzón; Inmaculada García; Juan I. Ramos 001 (ICCSA (3), 2007)

High performance noise reduction for biomedical multidimensional data. - Siham Tabik; Ester M. Garzón; Inmaculada García; José-Jesús Fernández (Digit. Signal Process., 2007)

Fast clear-sky solar irradiation computation for very large digital elevation models. - Luis F. Romero; Siham Tabik; Jesús M. Vías; Emilio L. Zapata (Comput. Phys. Commun., 2008)

On a model of three-dimensional bursting and its parallel implementation. - Siham Tabik; Luis F. Romero; Ester M. Garzón; Juan I. Ramos 001 (Comput. Phys. Commun., 2008)

Analytical Modeling of Pipeline Parallelism. - Angeles G. Navarro; Rafael Asenjo; Siham Tabik; Calin Cascaval (PACT, 2009)

Load balancing using work-stealing for pipeline parallelism in emerging applications. - Angeles G. Navarro; Rafael Asenjo; Siham Tabik; Calin Cascaval (ICS, 2009)

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. - Domingo Alcaraz-Segura; Elisa Liras; Siham Tabik; José M. Paruelo; Javier Cabello (Sensors, 2010)

Spectral evolution simulation on leading multi-socket, multicore platforms. - Siham Tabik; Petar Mimica; Oscar G. Plata; Emilio L. Zapata; Luis F. Romero (HiPC, 2011)

High-performance three-horizon composition algorithm for large-scale terrains. - Siham Tabik; Luis F. Romero; Emilio L. Zapata (Int. J. Geogr. Inf. Sci., 2011)

A Job Scheduling Approach for Multi-core Clusters Based on Virtual Malleability. - Gladys Utrera; Siham Tabik; Julita Corbalán; Jesús Labarta (Euro-Par, 2012)

VLBI-resolution radio-map algorithms: Performance analysis of different levels of data-sharing on multi-socket, multi-core architectures. - Siham Tabik; Luis F. Romero; Petar Mimica; Oscar G. Plata; Emilio L. Zapata (Comput. Phys. Commun., 2012)

A Fast GIS-tool to Compute the Maximum Solar Energy on Very Large Terrains. - Siham Tabik; Alejandro Villegas; Emilio L. Zapata; Luis F. Romero (ICCS, 2012)

Simultaneous computation of total viewshed on large high resolution grids. - Siham Tabik; Emilio L. Zapata; Luis F. Romero (Int. J. Geogr. Inf. Sci., 2013)

Optimal tilt and orientation maps: a multi-algorithm approach for heterogeneous multicore-GPU systems. - Siham Tabik; Alejandro Villegas; Emilio L. Zapata; Luis F. Romero (J. Supercomput., 2013)

Anisotropic nonlinear diffusion for filtering 3D images on GPUs. - Siham Tabik; Alin Murarasu; Luis Felipe Romero (CLUSTER, 2014)

Performance evaluation of kernel fusion BLAS routines on the GPU: iterative solvers as case study. - Siham Tabik; Gloria Ortega; Ester M. Garzón (J. Supercomput., 2014)

3D-viewshed map: a measure of landscape deepness. - Antonio Rodriguez Cervilla; Siham Tabik; Luis F. Romero (SIGSPATIAL/GIS, 2015)

Siting Multiple Observers for Maximum Coverage: An Accurate Approach. - Antonio Rodriguez Cervilla; Siham Tabik; Luis F. Romero (ICCS, 2015)

Demystifying the 16 × 16 thread-block for stencils on the GPU. - Siham Tabik; Maurice Peemen; Nicolás Guil; Henk Corporaal (Concurr. Comput. Pract. Exp., 2015)

Efficient Data Structure and Highly Scalable Algorithm for Total-Viewshed Computation. - Siham Tabik; Antonio Rodriguez Cervilla; Emilio L. Zapata; Luis F. Romero (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

A Data Partitioning Model for Highly Heterogeneous Systems. - Siham Tabik; Gloria Ortega; Ester M. Garzón; D. Suárez (Euro-Par Workshops, 2016)

Deep-Learning Convolutional Neural Networks for scattered shrub detection with Google Earth Imagery. - Emilio Guirado; Siham Tabik; Domingo Alcaraz-Segura; Javier Cabello; Francisco Herrera (CoRR, 2017)

A snapshot of image pre-processing for convolutional neural networks: case study of MNIST. - Siham Tabik; Daniel Peralta; Andrés Herrera-Poyatos; Francisco Herrera (Int. J. Comput. Intell. Syst., 2017)

Deep-learning Versus OBIA for Scattered Shrub Detection with Google Earth Imagery: Ziziphus lotus as Case Study. - Emilio Guirado; Siham Tabik; Domingo Alcaraz-Segura; Javier Cabello; Francisco Herrera (Remote. Sens., 2017)

Total 3D-viewshed Map: Quantifying the Visible Volume in Digital Elevation Models. - Antonio Rodriguez Cervilla; Siham Tabik; Jesús M. Vías; Matías Mérida; Luis F. Romero (Trans. GIS, 2017)

A First Step to Accelerating Fingerprint Matching Based on Deformable Minutiae Clustering. - Andres Jesus Sanchez; Luis Felipe Romero; Siham Tabik; Miguel Angel Medina-Pérez; Francisco Herrera (CAEPIA, 2018)

Framework for the Training of Deep Neural Networks in TensorFlow Using Metaheuristics. - Julián Fernando Muñoz-Ordóñez; Carlos Cobos; Martha Mendoza; Enrique Herrera-Viedma; Francisco Herrera; Siham Tabik (IDEAL (1), 2018)

A first study exploring the performance of the state-of-the art CNN model in the problem of breast cancer. - Yassir Benhammou; Siham Tabik; Boujemâa Achchab; Francisco Herrera (LOPAL, 2018)

Automatic handgun detection alarm in videos using deep learning. - Roberto Olmos; Siham Tabik; Francisco Herrera (Neurocomputing, 2018)

A tuning approach for iterative multiple 3d stencil pipeline on GPUs: Anisotropic Nonlinear Diffusion algorithm as case study. - Siham Tabik; Maurice Peemen; Luis F. Romero (J. Supercomput., 2018)

Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation. - Anabel Gómez-Ríos; Siham Tabik; Julián Luengo; A. S. M. Shihavuddin; Bartosz Krawczyk; Francisco Herrera (Expert Syst. Appl., 2019)

Brightness guided preprocessing for automatic cold steel weapon detection in surveillance videos with deep learning. - Alberto Castillo 001; Siham Tabik; Francisco Pérez 002; Roberto Olmos; Francisco Herrera (Neurocomputing, 2019)

A binocular image fusion approach for minimizing false positives in handgun detection with deep learning. - Roberto Olmos; Siham Tabik; Alberto Castillo Lamas; Francisco Pérez-Hernández; Francisco Herrera (Inf. Fusion, 2019)

Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks. - Anabel Gómez-Ríos; Siham Tabik; Julián Luengo; A. S. M. Shihavuddin; Francisco Herrera (Knowl. Based Syst., 2019)

Deep recurrent neural network for geographical entities disambiguation on social media data. - Cristina Zuheros; Siham Tabik; Ana Valdivia; Eugenio Martínez-Cámara; Francisco Herrera (Knowl. Based Syst., 2019)

Detection of Fir Trees (Abies sibirica) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning. - Anastasiia Safonova; Siham Tabik; Domingo Alcaraz-Segura; Alexey Rubtsov; Yuriy Maglinets; Francisco Herrera (Remote. Sens., 2019)

Asynchronous Processing for Latent Fingerprint Identification on Heterogeneous CPU-GPU Systems. - Andres Jesus Sanchez; Luis F. Romero; Daniel Peralta; Miguel Angel Medina-Pérez; Yvan Saeys; Francisco Herrera; Siham Tabik (IEEE Access, 2020)

A tutorial on ensembles and deep learning fusion with MNIST as guiding thread: A complex heterogeneous fusion scheme reaching 10 digits error. - Siham Tabik; Ricardo F. Alvear-Sandoval; María M. Ruiz; José-Luis Sancho-Gómez; Aníbal R. Figueiras-Vidal; Francisco Herrera (CoRR, 2020)

Array relocation approach for radial scanning algorithms on multi-GPU systems: total viewshed problem as a case study. - A. J. Sanchez-Fernandez; Luis F. Romero; Gerardo Bandera; Siham Tabik (CoRR, 2020)

BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights. - Yassir Benhammou; Boujemâa Achchab; Francisco Herrera; Siham Tabik (Neurocomputing, 2020)

Deep learning in video multi-object tracking: A survey. - Gioele Ciaparrone; Francisco Luque Sánchez; Siham Tabik; Luigi Troiano; Roberto Tagliaferri; Francisco Herrera (Neurocomputing, 2020)

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. - Alejandro Barredo Arrieta; Natalia Díaz Rodríguez; Javier Del Ser; Adrien Bennetot; Siham Tabik; Alberto Barbado; Salvador García 001; Sergio Gil-Lopez; Daniel Molina; Richard Benjamins; Raja Chatila 001; Francisco Herrera (Inf. Fusion, 2020)

FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations. - Manuel Rey-Area; Emilio Guirado; Siham Tabik; Javier Ruiz Hidalgo (Inf. Fusion, 2020)

Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects. - Francisco Luque Sánchez; Isabelle Hupont; Siham Tabik; Francisco Herrera (Inf. Fusion, 2020)

MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1% error rate. Ensembles overview and proposal. - Siham Tabik; Ricardo F. Alvear-Sandoval; María M. Ruiz; José-Luis Sancho-Gómez; Aníbal R. Figueiras-Vidal; Francisco Herrera (Inf. Fusion, 2020)

Object Detection Binary Classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance. - Francisco Pérez-Hernández; Siham Tabik; Alberto Castillo Lamas; Roberto Olmos; Hamido Fujita; Francisco Herrera (Knowl. Based Syst., 2020)

Tree Cover Estimation in Global Drylands from Space Using Deep Learning. - Emilio Guirado; Domingo Alcaraz-Segura; Javier Cabello; Sergio Puertas-Ruíz; Francisco Herrera; Siham Tabik (Remote. Sens., 2020)

COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images. - 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; et al. (IEEE J. Biomed. Health Informatics, 2020)

MULTICAST: MULTI Confirmation-level Alarm SysTem based on CNN and LSTM to mitigate false alarms for handgun detection in video-surveillance. - Roberto Olmos; Siham Tabik; Francisco Pérez-Hernández; Alberto Lamas 001; Francisco Herrera (CoRR, 2021)

EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case. - Natalia Díaz Rodríguez; Alberto Lamas 001; Jules Sanchez; Gianni Franchi; Ivan Donadello; Siham Tabik; David Filliat; Policarpo Cruz; Rosana Montes; Francisco Herrera (CoRR, 2021)

Small and large scale critical infrastructures detection based on deep learning using high resolution orthogonal images. - Francisco Pérez-Hernández; José Rodríguez-Ortega; Yassir Benhammou; Francisco Herrera; Siham Tabik (CoRR, 2021)

A data relocation approach for terrain surface analysis on multi-GPU systems: a case study on the total viewshed problem. - A. J. Sanchez-Fernandez; Luis F. Romero; Gerardo Bandera; Siham Tabik (Int. J. Geogr. Inf. Sci., 2021)

MonuMAI: Dataset, deep learning pipeline and citizen science based app for monumental heritage taxonomy and classification. - Alberto Lamas 001; Siham Tabik; Policarpo Cruz; Rosana Montes; Álvaro Martínez-Sevilla; Teresa Cruz; Francisco Herrera (Neurocomputing, 2021)

Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges. - Aritz D. Martinez; Javier Del Ser; Esther Villar-Rodriguez; Eneko Osaba; Javier Poyatos; Siham Tabik; Daniel Molina; Francisco Herrera (Inf. Fusion, 2021)

Mask R-CNN and OBIA Fusion Improves the Segmentation of Scattered Vegetation in Very High-Resolution Optical Sensors. - Emilio Guirado; Javier Blanco-Sacristán; Emilio Rodríguez-Caballero; Siham Tabik; Domingo Alcaraz-Segura; Jaime Martínez Valderrama; Javier Cabello (Sensors, 2021)

Olive Tree Biovolume from UAV Multi-Resolution Image Segmentation with Mask R-CNN. - Anastasiia Safonova; Emilio Guirado; Yuriy Maglinets; Domingo Alcaraz-Segura; Siham Tabik (Sensors, 2021)

CI-Dataset and DetDSCI Methodology for Detecting Too Small and Too Large Critical Infrastructures in Satellite Images: Airports and Electrical Substations as Case Study. - Francisco Pérez-Hernández; José Rodríguez-Ortega; Yassir Benhammou; Francisco Herrera; Siham Tabik (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

What is the best RNN-cell structure for forecasting each time series behavior? - Rohaifa Khaldi; Abdellatif El Afia; Raddouane Chiheb; Siham Tabik (CoRR, 2022)

Human pose estimation for mitigating false negatives in weapon detection in video-surveillance. - Alberto Lamas 001; Siham Tabik; Antonio Cano Montes; Francisco Pérez-Hernández; Jorge García-Torres Fernández; Roberto Olmos; Francisco Herrera (Neurocomputing, 2022)

EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case. - Natalia Díaz Rodríguez; Alberto Lamas 001; Jules Sanchez; Gianni Franchi; Ivan Donadello; Siham Tabik; David Filliat; Policarpo Cruz; Rosana Montes; Francisco Herrera (Inf. Fusion, 2022)

VPP: Visibility-Based Path Planning Heuristic for Monitoring Large Regions of Complex Terrain Using a UAV Onboard Camera. - Andres Jesus Sanchez; Luis F. Romero; Gerardo Bandera; Siham Tabik (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Deep Learning for blind spectral unmixing of LULC classes with MODIS multispectral time series and ancillary data. - José Rodríguez-Ortega; Rohaifa Khaldi; Domingo Alcaraz-Segura; Siham Tabik (CoRR, 2023)

What is the best RNN-cell structure to forecast each time series behavior? - Rohaifa Khaldi; Abdellatif El Afia; Raddouane Chiheb; Siham Tabik (Expert Syst. Appl., 2023)

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). - Yassir Benhammou; José Rodríguez-Ortega; Domingo Alcaraz-Segura; Siham Tabik (IEEE DataPort, 2023)

Individual mapping of large polymorphic shrubs in high mountains using satellite images and deep learning. - Rohaifa Khaldi; Siham Tabik; Sergio Puertas-Ruíz; Julio Peñas de Giles; José Antonio Hódar Correa; Regino Zamora; Domingo Alcaraz-Segura (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Shrub of a thousand faces: an individual segmentation from satellite images using deep learning. - Rohaifa Khaldi; Siham Tabik; Sergio Puertas-Ruíz; Julio Peñas de Giles; José Antonio Hódar Correa; Regino Zamora; Domingo Alcaraz-Segura (CoRR, 2024)

On Large Uni- and Multi-modal Models for Unsupervised Classification of Social Media Images: Nature's Contribution to People as a case study. - Rohaifa Khaldi; Domingo Alcaraz-Segura; Ignacio Sánchez-Herrera; Javier Martínez-López; Carlos Javier Navarro; Siham Tabik (CoRR, 2024)

Can citizen science and social media images support the detection of new invasion sites? A deep learning test case with Cortaderia selloana. - Ana Sofia Cardoso; Eva Malta-Pinto; Siham Tabik; Tom August; Helen E. Roy; Ricardo Correia 008; Joana R. Vicente; Ana Sofia Vaz (Ecol. Informatics, 2024)

Bidirectional Recurrent Imputation and Abundance Estimation of LULC Classes With MODIS Multispectral Time-Series and Geo-Topographic and Climatic Data. - José Rodríguez-Ortega; Rohaifa Khaldi; Domingo Alcaraz-Segura; Siham Tabik (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Self-Supervised Learning on Small In-Domain Datasets Can Overcome Supervised Learning in Remote Sensing. - A. J. Sanchez-Fernandez; Sergio Moreno-Álvarez; Juan-Antonio Rico-Gallego; Siham Tabik (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

CHaRNet: Conditioned Heatmap Regression for Robust Dental Landmark Localization. - José Rodríguez-Ortega; Francisco Pérez-Hernández; Siham Tabik (CoRR, 2025)