Siham Tabik

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Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, SpainVerified email at decsai.ugr.es
Domingo Alcaraz-SeguraBotany Dept., University of Granada. IISTA - CAESCGVerified email at ugr.es
Emilio Guirado (ORCID: 0000-0001-5...Universidad de AlicanteVerified email at ua.es
Luis F. RomeroProfesor Titular, Universidad de MálagaVerified email at uma.es
Natalia Díaz-Rodríguez, PhD (ORCID:...Professor, University of Granada, Spain, DaSCI Andalusian Institute on Data Science (RoR:04njjy449)Verified email at ugr.es
Roberto Olmos PimentelDoctor por la Universidad de GranadaVerified email at correo.ugr.es
Yassir BenhammouPhD, University of GranadaVerified email at correo.ugr.es
E M GARZONFull Professor. Almeria UniversityVerified email at ual.es
Alberto LamasPhD student, Computer Science and Artificial Intelligence Department, Granada UniversityVerified email at ugr.es
Rohaifa KhaldiDept of Computer Science and Artificial Intelligence, DaSCI, University of GranadaVerified email at ugr.es
ASM ShihavuddinProfessor, EEE, Presidency University (PU)Verified email at pu.edu.bd
Andres Jesus Sanchez FernandezAndres J. Sanchez-Fernandez. PhD scientific and research staff at the University of Extremadura.Verified email at unex.es
Bartosz KrawczykAssistant Professor, Center for Imaging Science, Rochester Institute of Technology, USAVerified email at rit.edu
Daniel PeraltaPostdoctoral researcher - Doctor Assistant, Department of Information Technology. Ghent UniversityVerified email at ugent.be
Ana Sofia VazNBI - Natural Business IntelligenceVerified email at nbi.pt
Isabelle HupontEuropean Commission - Joint Research CentreVerified email at ec.europa.eu
José Rodríguez-OrtegaPhD student in Deep Learning at the University of GranadaVerified email at go.ugr.es
Anastasiia SafonovaLeibniz-Centre for Agricultural Landscape Research (ZALF)

Siham Tabik

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

Verified email at ugr.es

Machine Learning Computer Vision Remote Sensing


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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	7991	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	711	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	402	2020
Automatic Handgun Detection Alarm in Videos Using Deep Learning R Olmos, S Tabik, F Herrera Neurocomputing 275, 66-72, 2018	282	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	212*	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	183	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	179	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	160	2019
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	159	2020
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	141	2019
Analytical modeling of pipeline parallelism A Navarro, R Asenjo, S Tabik, C Cascaval 2009 18th international conference on parallel architectures and compilation …, 2009	122	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	111	2019
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	109	2010
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	100	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	94	2020
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	85	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	84	2021
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	84	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	82	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	59	2018

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