Siham Tabik
Siham Tabik
Dpt. Computer Science and Artificial Intelligence, University of Granada
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Explainable artificial intelligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai
A Barredo Arrieta, N Díaz-Rodríguez, J Del Ser, A Bennetot, S Tabik, ...
Information Fusion 58, 82-115, 2019
Analytical modeling of pipeline parallelism
A Navarro, R Asenjo, S Tabik, C Cascaval
2009 18th International Conference on Parallel Architectures and Compilation …, 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
D Alcaraz-Segura, E Liras, S Tabik, J Paruelo, J Cabello
Sensors 10 (2), 1291-1314, 2010
Deep-learning versus OBIA for scattered shrub detection with Google Earth imagery: Ziziphus lotus as case study
E Guirado, S Tabik, D Alcaraz-Segura, J Cabello, F Herrera
Remote Sensing 9 (12), 2017
Automatic Handgun Detection Alarm in Videos Using Deep Learning
R Olmos, S Tabik, F Herrera
Neurocomputing 275, 66-72, 2018
Simultaneous computation of total viewshed on large high resolution grids
S Tabik, EL Zapata, LF Romero
International Journal of Geographical Information Science 27 (4), 804-814, 2013
Deep learning in video multi-object tracking: A survey
G Ciaparrone, FL Sánchez, S Tabik, L Troiano, R Tagliaferri, F Herrera
Neurocomputing 381, 61-88, 2020
A snapshot of image pre-processing for convolutional neural networks: case study of MNIST
S Tabik, D Peralta, A Herrera-Poyatos, F Herrera
International Journal of Computational Intelligence Systems 10, 555–568, 2017
Towards Highly Accurate Coral Texture Images Classification Using Deep Convolutional Neural Networks and Data Augmentation
A Gómez-Ríos, S Tabik, J Luengo, ASM Shihavuddin, B Krawczyk, ...
Expert Systems with Applications 118, 315-328, 2019
Load balancing using work-stealing for pipeline parallelism in emerging applications
A Navarro, R Asenjo, S Tabik, C Caşcaval
Proceedings of the 23rd international conference on Supercomputing, 517-518, 2009
Detection of fir trees (Abies sibirica) damaged by the bark beetle in unmanned aerial vehicle images with deep learning
A Safonova, S Tabik, D Alcaraz-Segura, A Rubtsov, Y Maglinets, ...
Remote Sensing 11 (6), 643, 2019
Efficient data structure and highly scalable algorithm for total-viewshed computation
S Tabik, AR Cervilla, E Zapata, LF Romero
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
High-performance three-horizon composition algorithm for large-scale terrains
S Tabik, LF Romero, EL Zapata
International Journal of Geographical Information Science 25 (4), 541-555, 2011
Fast clear-sky solar irradiation computation for very large digital elevation models
LF Romero, S Tabik, JM Vías, EL Zapata
Computer Physics Communications 178 (11), 800-808, 2008
Whale counting in satellite and aerial images with deep learning
E Guirado, S Tabik, ML Rivas, D Alcaraz-Segura, F Herrera
Scientific reports 9 (1), 1-12, 2019
Performance evaluation of kernel fusion BLAS routines on the GPU: iterative solvers as case study
S Tabik, G Ortega, EM Garzón
The Journal of Supercomputing 70 (2), 577-587, 2014
High performance noise reduction for biomedical multidimensional data
S Tabik, EM Garzón, I García, JJ Fernández
Digital Signal Processing 17 (4), 724-736, 2007
A fast GIS-tool to compute the maximum solar energy on very large terrains
S Tabik, A Villegas, EL Zapata, LF Romero
Procedia Computer Science 9, 364-372, 2012
BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights
Y Benhammou, B Achchab, F Herrera, S Tabik
Neurocomputing 375, 9-24, 2020
A job scheduling approach for multi-core clusters based on virtual malleability
G Utrera, S Tabik, J Corbalan, J Labarta
European Conference on Parallel Processing, 191-203, 2012
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