Siham Tabik
Siham Tabik
Professor, Dpt. Computer Science and Artificial Intelligence, University of Granada
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Cited by
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, 2020
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
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images
S Tabik, A Gómez-Ríos, JL Martín-Rodríguez, I Sevillano-García, ...
IEEE Journal of Biomedical and Health Informatics 26 (12), 3595 - 3605, 2020
Automatic Handgun Detection Alarm in Videos Using Deep Learning
R Olmos, S Tabik, F Herrera
Neurocomputing 275, 66-72, 2018
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
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
Object detection binary classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance
F Pérez-Hernández, S Tabik, A Lamas, R Olmos, H Fujita, F Herrera
Knowledge-Based Systems 194, 105590, 2020
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
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
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), 14259, 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
Brightness guided preprocessing for automatic cold steel weapon detection in surveillance videos with deep learning
A Castillo, S Tabik, F Pérez, R Olmos, F Herrera
Neurocomputing 330, 151-161, 2019
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
Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects
FL Sánchez, I Hupont, S Tabik, F Herrera
Information Fusion 64, 318-335, 2020
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 omics data analysis and precision medicine
J Martorell-Marugán, S Tabik, Y Benhammou, C del Val, I Zwir, F Herrera, ...
Exon Publications, 37-53, 2019
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case
FH Natalia Díaz-Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi ...
Information Fusion 79, 58-83, 2022
Olive tree biovolume from UAV multi-resolution image segmentation with mask R-CNN
A Safonova, E Guirado, Y Maglinets, D Alcaraz-Segura, S Tabik
Sensors 21 (5), 1617, 2021
A first study exploring the performance of the state-of-the art CNN model in the problem of breast cancer
Y Benhammou, S Tabik, B Achchab, F Herrera
Proceedings of the International Conference on Learning and Optimization …, 2018
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