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Siham Tabik
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2020 – today
- 2024
- [j46]Rohaifa Khaldi
, Siham Tabik, Sergio Puertas-Ruíz
Individual mapping of large polymorphic shrubs in high mountains using satellite images and deep learning. Int. J. Appl. Earth Obs. Geoinformation 134: 104191 (2024) - [j45]Ana Sofia Cardoso, Eva Malta-Pinto
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: 102602 (2024) - [j44]José Rodríguez-Ortega
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: 4626-4645 (2024) - [j43]A. J. Sanchez-Fernandez
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: 12797-12810 (2024) - [i17]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 abs/2401.17985 (2024) - [i16]Rohaifa Khaldi, Domingo Alcaraz-Segura, Ignacio Sánchez-Herrera, Javier Martínez-López, Carlos Javier Navarro, Siham Tabik:
On Large Uni- and Multi-modal Models for Unsupervised Classification of Social Media Images: Nature's Contribution to People as a case study. CoRR abs/2410.00275 (2024) - 2023
- [j42]Rohaifa Khaldi
What is the best RNN-cell structure to forecast each time series behavior? Expert Syst. Appl. 215: 119140 (2023) - [d1]Yassir Benhammou
AndalUnmixingRGB: A dataset of Sentinel-2 RGB imagery acquired in Andalusia region of Spain, enriched with environmental ancillary data and annotated for blind Spectral Unmixing using Deep Learning (License CC BY 4.0). IEEE DataPort, 2023 - [i15]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 abs/2310.07223 (2023) - 2022
- [j41]Alberto Lamas, Siham Tabik, Antonio Cano Montes
Human pose estimation for mitigating false negatives in weapon detection in video-surveillance. Neurocomputing 489: 488-503 (2022) - [j40]Natalia Díaz Rodríguez
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case. Inf. Fusion 79: 58-83 (2022) - [j39]Andres Jesus Sanchez
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: 944-955 (2022) - [i14]Rohaifa Khaldi, Abdellatif El Afia, Raddouane Chiheb, Siham Tabik:
What is the best RNN-cell structure for forecasting each time series behavior? CoRR abs/2203.07844 (2022) - 2021
- [j38]A. J. Sanchez-Fernandez
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): 1500-1520 (2021) - [j37]Alberto Lamas, Siham Tabik, Policarpo Cruz, Rosana Montes
MonuMAI: Dataset, deep learning pipeline and citizen science based app for monumental heritage taxonomy and classification. Neurocomputing 420: 266-280 (2021) - [j36]Aritz D. Martinez
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges. Inf. Fusion 67: 161-194 (2021) - [j35]Emilio Guirado
Mask R-CNN and OBIA Fusion Improves the Segmentation of Scattered Vegetation in Very High-Resolution Optical Sensors. Sensors 21(1): 320 (2021) - [j34]Anastasiia Safonova
Olive Tree Biovolume from UAV Multi-Resolution Image Segmentation with Mask R-CNN. Sensors 21(5): 1617 (2021) - [j33]Francisco Pérez-Hernández
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: 12149-12162 (2021) - [i13]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 abs/2104.11653 (2021) - [i12]Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case. CoRR abs/2104.11914 (2021) - [i11]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 abs/2105.11844 (2021) - 2020
- [j32]Andres Jesus Sanchez
Asynchronous Processing for Latent Fingerprint Identification on Heterogeneous CPU-GPU Systems. IEEE Access 8: 124236-124253 (2020) - [j31]Yassir Benhammou, Boujemâa Achchab, Francisco Herrera
BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights. Neurocomputing 375: 9-24 (2020) - [j30]Gioele Ciaparrone
Deep learning in video multi-object tracking: A survey. Neurocomputing 381: 61-88 (2020) - [j29]Alejandro Barredo Arrieta, Natalia Díaz Rodríguez
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Inf. Fusion 58: 82-115 (2020) - [j28]Siham Tabik, Ricardo F. Alvear-Sandoval, María M. Ruiz, José-Luis Sancho-Gómez
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: 73-80 (2020) - [j27]Manuel Rey-Area, Emilio Guirado
FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations. Inf. Fusion 63: 188-195 (2020) - [j26]Francisco Luque Sánchez
Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects. Inf. Fusion 64: 318-335 (2020) - [j25]Francisco Pérez-Hernández
Object Detection Binary Classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance. Knowl. Based Syst. 194: 105590 (2020) - [j24]Emilio Guirado
Tree Cover Estimation in Global Drylands from Space Using Deep Learning. Remote. Sens. 12(3): 343 (2020) - [j23]Siham Tabik
COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images. IEEE J. Biomed. Health Informatics 24(12): 3595-3605 (2020) - [i10]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 abs/2001.11486 (2020) - [i9]A. J. Sanchez-Fernandez, 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 abs/2003.02200 (2020) - [i8]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 abs/2005.08235 (2020) - [i7]Siham Tabik, Anabel Gómez-Ríos, J. L. Martín-Rodríguez, I. Sevillano-García
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images. CoRR abs/2006.01409 (2020) - [i6]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 abs/2008.03620 (2020)
2010 – 2019
- 2019
- [j22]Anabel Gómez-Ríos
Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation. Expert Syst. Appl. 118: 315-328 (2019) - [j21]Alberto Castillo
Brightness guided preprocessing for automatic cold steel weapon detection in surveillance videos with deep learning. Neurocomputing 330: 151-161 (2019) - [j20]Roberto Olmos
A binocular image fusion approach for minimizing false positives in handgun detection with deep learning. Inf. Fusion 49: 271-280 (2019) - [j19]Cristina Zuheros, Siham Tabik, Ana Valdivia
Deep recurrent neural network for geographical entities disambiguation on social media data. Knowl. Based Syst. 173: 117-127 (2019) - [j18]Anabel Gómez-Ríos
Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks. Knowl. Based Syst. 184 (2019) - [j17]Anastasiia Safonova
Detection of Fir Trees (Abies sibirica) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning. Remote. Sens. 11(6): 643 (2019) - [i5]Gioele Ciaparrone, Francisco Luque Sánchez, Siham Tabik, Luigi Troiano, Roberto Tagliaferri, Francisco Herrera:
Deep Learning in Video Multi-Object Tracking: A Survey. CoRR abs/1907.12740 (2019) - [i4]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
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI. CoRR abs/1910.10045 (2019) - 2018
- [j16]Roberto Olmos
Automatic handgun detection alarm in videos using deep learning. Neurocomputing 275: 66-72 (2018) - [j15]Siham Tabik
A tuning approach for iterative multiple 3d stencil pipeline on GPUs: Anisotropic Nonlinear Diffusion algorithm as case study. J. Supercomput. 74(4): 1580-1608 (2018) - [c20]Andres Jesus Sanchez
A First Step to Accelerating Fingerprint Matching Based on Deformable Minutiae Clustering. CAEPIA 2018: 361-371 - [c19]Julián Fernando Muñoz-Ordóñez
Framework for the Training of Deep Neural Networks in TensorFlow Using Metaheuristics. IDEAL (1) 2018: 801-811 - [c18]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: 47:1-47:6 - [i3]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 abs/1804.00516 (2018) - 2017
- [j14]Siham Tabik, Daniel Peralta, Andrés Herrera-Poyatos
A snapshot of image pre-processing for convolutional neural networks: case study of MNIST. Int. J. Comput. Intell. Syst. 10(1): 555-568 (2017) - [j13]Emilio Guirado
Deep-learning Versus OBIA for Scattered Shrub Detection with Google Earth Imagery: Ziziphus lotus as Case Study. Remote. Sens. 9(12): 1220 (2017) - [j12]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): 591-607 (2017) - [i2]Roberto Olmos, Siham Tabik, Francisco Herrera:
Automatic Handgun Detection Alarm in Videos Using Deep Learning. CoRR abs/1702.05147 (2017) - [i1]Emilio Guirado
Deep-Learning Convolutional Neural Networks for scattered shrub detection with Google Earth Imagery. CoRR abs/1706.00917 (2017) - 2016
- [c17]Siham Tabik, Gloria Ortega López, Ester M. Garzón, D. Suárez:
A Data Partitioning Model for Highly Heterogeneous Systems. Euro-Par Workshops 2016: 468-479 - 2015
- [j11]Siham Tabik
Demystifying the 16 × 16 thread-block for stencils on the GPU. Concurr. Comput. Pract. Exp. 27(18): 5557-5573 (2015) - [j10]Siham Tabik
Efficient Data Structure and Highly Scalable Algorithm for Total-Viewshed Computation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(1): 304-310 (2015) - [c16]Antonio Rodriguez Cervilla, Siham Tabik, Luis F. Romero:
3D-viewshed map: a measure of landscape deepness. SIGSPATIAL/GIS 2015: 74:1-74:4 - [c15]Antonio Rodriguez Cervilla, Siham Tabik
Siting Multiple Observers for Maximum Coverage: An Accurate Approach. ICCS 2015: 356-365 - 2014
- [j9]Siham Tabik
Performance evaluation of kernel fusion BLAS routines on the GPU: iterative solvers as case study. J. Supercomput. 70(2): 577-587 (2014) - [c14]Siham Tabik
Anisotropic nonlinear diffusion for filtering 3D images on GPUs. CLUSTER 2014: 339-345 - 2013
- [j8]Siham Tabik
Simultaneous computation of total viewshed on large high resolution grids. Int. J. Geogr. Inf. Sci. 27(4): 804-814 (2013) - [j7]Siham Tabik
Optimal tilt and orientation maps: a multi-algorithm approach for heterogeneous multicore-GPU systems. J. Supercomput. 66(1): 135-147 (2013) - 2012
- [j6]Siham Tabik
VLBI-resolution radio-map algorithms: Performance analysis of different levels of data-sharing on multi-socket, multi-core architectures. Comput. Phys. Commun. 183(9): 1937-1946 (2012) - [c13]Gladys Utrera
A Job Scheduling Approach for Multi-core Clusters Based on Virtual Malleability. Euro-Par 2012: 191-203 - [c12]Siham Tabik
A Fast GIS-tool to Compute the Maximum Solar Energy on Very Large Terrains. ICCS 2012: 364-372 - 2011
- [j5]Siham Tabik
High-performance three-horizon composition algorithm for large-scale terrains. Int. J. Geogr. Inf. Sci. 25(4): 541-555 (2011) - [c11]Siham Tabik
Spectral evolution simulation on leading multi-socket, multicore platforms. HiPC 2011: 1-10 - 2010
- [j4]Domingo Alcaraz-Segura, Elisa Liras, Siham Tabik
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): 1291-1314 (2010)
2000 – 2009
- 2009
- [c10]Angeles G. Navarro
Analytical Modeling of Pipeline Parallelism. PACT 2009: 281-290 - [c9]Angeles G. Navarro
Load balancing using work-stealing for pipeline parallelism in emerging applications. ICS 2009: 517-518 - 2008
- [j3]Siham Tabik
On a model of three-dimensional bursting and its parallel implementation. Comput. Phys. Commun. 178(7): 471-485 (2008) - [j2]Luis F. Romero, Siham Tabik
Fast clear-sky solar irradiation computation for very large digital elevation models. Comput. Phys. Commun. 178(11): 800-808 (2008) - 2007
- [j1]Siham Tabik
High performance noise reduction for biomedical multidimensional data. Digit. Signal Process. 17(4): 724-736 (2007) - [c8]Siham Tabik, Jesús M. Vías, Emilio L. Zapata, Luis F. Romero:
Fast Insolation Computation in Large Territories. International Conference on Computational Science (1) 2007: 54-61 - [c7]Siham Tabik, Luis F. Romero, Ester M. Garzón, Inmaculada García, Juan I. Ramos:
Three-Dimensional Bursting Simulation on Two Parallel Systems. ICCSA (3) 2007: 941-949 - 2006
- [c6]Siham Tabik, Ester M. Garzón, Inmaculada García, José-Jesús Fernández:
Evaluation of Parallel Paradigms on Anisotropic Nonlinear Diffusion. Euro-Par 2006: 1159-1168 - [c5]Siham Tabik
Parallel Simulation of Three-Dimensional Bursting with MPI and OpenMP. International Conference on Computational Science (2) 2006: 106-113 - [c4]Siham Tabik
Multiprocessing of Anisotropic Nonlinear Diffusion for Filtering 3D Images. PDP 2006: 21-27 - 2005
- [c3]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: 727-734 - 2004
- [c2]Ester M. Garzón, Siham Tabik, Inmaculada García, Amelia Rubio Bretones:
Multiprocessing of the Time Domain Analysis of Thin-Wire Antennas and Scatterers. PDP 2004: 80-87 - [c1]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: 78-89
Coauthor Index
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last updated on 2024-11-07 20:34 CET by the dblp team
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