Siham Tabik

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Francisco HerreraProfessor Computer Science and AI, Granada University, Senior Research Advisor in DL&ML at Sherpa.aiVerified email at decsai.ugr.es
Luis F. RomeroProfesor Titular, Universidad de MálagaVerified email at uma.es
Domingo Alcaraz-SeguraBotany Dept., University of Granada. IISTA - CAESCGVerified email at ugr.es
Emilio GuiradoUniversidad de AlicanteVerified email at ua.es
E M GARZONFull Professor. Almeria UniversityVerified email at ual.es
Natalia Díaz-Rodríguez, PhDUniversity of Granada, Spain, DaSCI.es Andalusian Institute in Data Science and ArtificialVerified email at ugr.es
Roberto Olmos PimentelDoctor por la Universidad de GranadaVerified email at correo.ugr.es
Francisco Pérez-HernándezPhD student at the University of GranadaVerified email at ugr.es
Julián Luengo MartínAssociate Professor at University of GranadaVerified email at decsai.ugr.es
Alberto LamasPhD student, Computer Science and Artificial Intelligence Department, Granada UniversityVerified email at ugr.es
Francisco Luque SánchezInvestigador contratado, Universidad de GranadaVerified email at ugr.es
Anastasiia SafonovaSiberian Federal UniversityVerified email at sfu-kras.ru
ASM ShihavuddinAssociate Professor, EEE, Green University of BangladeshVerified email at eee.green.edu.bd
BOUJEMAA ACHCHABProfesseur de mathématiques et applications, Université Hassan 1er SettatVerified email at uhp.ac.ma
Bartosz KrawczykAssistant Professor of Computer Science, Virginia Commonwealth University, USAVerified email at vcu.edu
Roberto TAGLIAFERRINeurone Lab - Disa Mis - University of SalernoVerified email at unisa.it
Daniel PeraltaDoctor Assistant, Department of Information Technology. Ghent UniversityVerified email at ugent.be
Isabelle HupontEuropean Commission - Joint Research CentreVerified email at ec.europa.eu
Rohaifa KhaldiDept of Computer Science and Artificial Intelligence, DaSCI, University of GranadaVerified email at ugr.es

Siham Tabik

Associate Professor, Dpt. Computer Science and Artificial Intelligence, University of Granada

Verified email at ugr.es

Deep Neural Networks Computer Vision Remote Sensing Video Surveillance High Performance Computing


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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, 2020	1629	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	251	2020
Automatic Handgun Detection Alarm in Videos Using Deep Learning R Olmos, S Tabik, F Herrera Neurocomputing 275, 66-72, 2018	133	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	117*	2017
Analytical modeling of pipeline parallelism A Navarro, R Asenjo, S Tabik, C Cascaval 2009 18th International Conference on Parallel Architectures and Compilation …, 2009	116	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	98	2010
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	97	2020
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	79	2019
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	71	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), 1-12, 2019	69*	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	67	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	64	2013
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	57	2017
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	47	2020
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	37	2009
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	35	2019
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	26	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	22	2014
A Binocular Image Fusion Approach for Minimizing False Positives in Handgun Detection with Deep Learning R Olmos, S Tabik, A Castillo, F Pérez, F Herrera Information Fusion 49, 271-280, 2019	21	2019
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	20	2018

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