Siham Tabik

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 58

Top Topics

Highly Heterogeneous

Top Venues

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

Publications

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 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2023)
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 (2023)
Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera
) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case. Inf. Fusion 79 (2022)
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 (2022)
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 (2022)
Rohaifa Khaldi, Abdellatif El Afia, Raddouane Chiheb, Siham Tabik
What is the best RNN-cell structure for forecasting each time series behavior? CoRR (2022)
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 (2021)
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) (2021)
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 (2021)
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 (2021)
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 (2021)
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) (2021)
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 (2021)
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) (2021)
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 (2021)
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 (2020)
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) (2020)
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, E. Olmedo-Sánchez, Francisco Herrera
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images. CoRR (2020)
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 (2020)
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 (2020)
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 (2020)
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 (2020)
Yassir Benhammou, Boujemâa Achchab, Francisco Herrera, Siham Tabik
BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights. Neurocomputing 375 (2020)
Gioele Ciaparrone, Francisco Luque Sánchez, Siham Tabik, Luigi Troiano, Roberto Tagliaferri, Francisco Herrera
Deep learning in video multi-object tracking: A survey. Neurocomputing 381 (2020)
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 (2020)
A. J. Sanchez, 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 (2020)
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 (2020)
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, E. 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) (2020)
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 (2020)
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 (2020)
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 (2019)
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 (2019)
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)
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 (2019)
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 (2019)
Anastasiia Safonova, Siham Tabik, Domingo Alcaraz-Segura, Alexey Rubtsov, Yuriy Maglinets, Francisco Herrera
) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning. Remote. Sens. 11 (6) (2019)
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 (2019)
Gioele Ciaparrone, Francisco Luque Sánchez, Siham Tabik, Luigi Troiano, Roberto Tagliaferri, Francisco Herrera
Deep Learning in Video Multi-Object Tracking: A Survey. CoRR (2019)
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 (2018)
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) (2018)
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)
Julián 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)
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)
Roberto Olmos, Siham Tabik, Francisco Herrera
Automatic handgun detection alarm in videos using deep learning. Neurocomputing 275 (2018)
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 (2017)
Emilio Guirado, Siham Tabik, Domingo Alcaraz-Segura, Javier Cabello, Francisco Herrera
as Case Study. Remote. Sens. 9 (12) (2017)
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) (2017)
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) (2017)
Roberto Olmos, Siham Tabik, Francisco Herrera
Automatic Handgun Detection Alarm in Videos Using Deep Learning. CoRR (2017)
Siham Tabik, Gloria Ortega López, Ester M. Garzón, D. Suárez
A Data Partitioning Model for Highly Heterogeneous Systems. Euro-Par Workshops (2016)
Antonio Rodriguez Cervilla, Siham Tabik, Luis F. Romero
3D-viewshed map: a measure of landscape deepness. SIGSPATIAL/GIS (2015)
Antonio Rodriguez Cervilla, Siham Tabik, Luis F. Romero
Siting Multiple Observers for Maximum Coverage: An Accurate Approach. ICCS (2015)
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) (2015)
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) (2015)
Siham Tabik, Alin Murarasu, Luis Felipe Romero
Anisotropic nonlinear diffusion for filtering 3D images on GPUs. CLUSTER (2014)
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) (2014)
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) (2013)
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) (2013)
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)
Gladys Utrera, Siham Tabik, Julita Corbalán, Jesús Labarta
A Job Scheduling Approach for Multi-core Clusters Based on Virtual Malleability. Euro-Par (2012)
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) (2012)
Siham Tabik, Petar Mimica, Oscar G. Plata, Emilio L. Zapata, Luis F. Romero
Spectral evolution simulation on leading multi-socket, multicore platforms. HiPC (2011)
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) (2011)
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) (2010)
Angeles G. Navarro, Rafael Asenjo, Siham Tabik, Calin Cascaval
Load balancing using work-stealing for pipeline parallelism in emerging applications. ICS (2009)
Angeles G. Navarro, Rafael Asenjo, Siham Tabik, Calin Cascaval
Analytical Modeling of Pipeline Parallelism. PACT (2009)
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) (2008)
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) (2008)
Siham Tabik, Ester M. Garzón, Inmaculada García, José-Jesús Fernández
High performance noise reduction for biomedical multidimensional data. Digit. Signal Process. 17 (4) (2007)
Siham Tabik, Jesús M. Vías, Emilio L. Zapata, Luis F. Romero
Fast Insolation Computation in Large Territories. International Conference on Computational Science (1) (2007)
Siham Tabik, Luis F. Romero, Ester M. Garzón, Inmaculada García, Juan I. Ramos
Three-Dimensional Bursting Simulation on Two Parallel Systems. ICCSA (3) (2007)
Siham Tabik, Ester M. Garzón, Inmaculada García, José-Jesús Fernández
Evaluation of Parallel Paradigms on Anisotropic Nonlinear Diffusion. Euro-Par (2006)
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)
Siham Tabik, Ester M. Garzón, Inmaculada García, José-Jesús Fernández
Multiprocessing of Anisotropic Nonlinear Diffusion for Filtering 3D Images. PDP (2006)
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)
Ester M. Garzón, Siham Tabik, Inmaculada García, Amelia Rubio Bretones
Multiprocessing of the Time Domain Analysis of Thin-Wire Antennas and Scatterers. PDP (2004)
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)