Siham Tabik
Category
PhDContact
siham@VoBHLhxweXIugr.es
Organization
UGR
Highly Cited Researcher 2022
| Total | From 2019: | |
|---|---|---|
| Citas | Total: 12815 | From 2019: 12278 |
| Índice H | Total: 30 | From 2019: 29 |
| Índice i10 | Total: 55 | From 2019: 46 |
Papers (124)
| Title | Authors | Year |
|---|---|---|
| Shrub of a thousand faces: an individual segmentation from satellite images using deep learning | R Khaldi, S Tabik, S Puertas-Ruiz, JP de Giles, JAH Correa, R Zamora, .... | 2024 |
| Can citizen science and social media images support the detection of new invasion sites? A deep learning test case with Cortaderia selloana | AS Cardoso, E Malta-Pinto, S Tabik, T August, HE Roy, R Correia, .... | 2024 |
| Automated precise seeding with drones and artificial intelligence: a workflow | J Castro, D Alcaraz‐Segura, JL Baltzer, L Amorós, F Morales‐Rueda, .... | 2024 |
| Self-Supervised Learning on Small In-Domain Datasets Can Overcome Supervised Learning in Remote Sensing | AJ Sanchez-Fernandez, S Moreno-Álvarez, JA Rico-Gallego, S Tabik. | 2024 |
| On Large Uni-and Multi-modal Models for Unsupervised Classification of Social Media Images: Nature's Contribution to People as case study | R Khaldi, D Alcaraz-Segura, I Sánchez-Herrera, J Martinez-Lopez, .... | 2024 |
| Individual mapping of large polymorphic shrubs in high mountains using satellite images and deep learning | R Khaldi, S Tabik, S Puertas-Ruiz, JP de Giles, JAH Correa, R Zamora, .... | 2024 |
| On Large Uni-and Multi-modal Models for Unsupervised Classification of Social Media Images: Nature's Contribution to People as case study | R Khaldi, D Alcaraz-Segura, I Sánchez-Herrera, J Martinez-Lopez, .... | 2024 |
| On Large Uni-and Multi-modal Models for Unsupervised Classification of Social Media Images: Nature's Contribution to People as case study | R Khaldi, D Alcaraz-Segura, I Sánchez-Herrera, J Martinez-Lopez, .... | 2024 |
| On Large Uni-and Multi-modal Models for Unsupervised Classification of Social Media Images: Nature's Contribution to People as case study | R Khaldi, D Alcaraz-Segura, I Sánchez-Herrera, J Martinez-Lopez, .... | 2024 |
| On Large Uni-and Multi-modal Models for Unsupervised Classification of Social Media Images: Nature's Contribution to People as case study | R Khaldi, D Alcaraz-Segura, I Sánchez-Herrera, J Martinez-Lopez, .... | 2024 |
| On Large Uni-and Multi-modal Models for Unsupervised Classification of Social Media Images: Nature's Contribution to People as case study | R Khaldi, D Alcaraz-Segura, I Sánchez-Herrera, J Martinez-Lopez, .... | 2024 |
| On Large Uni-and Multi-modal Models for Unsupervised Classification of Social Media Images: Nature's Contribution to People as case study | R Khaldi, D Alcaraz-Segura, I Sánchez-Herrera, J Martinez-Lopez, .... | 2024 |
| On Large Uni-and Multi-modal Models for Unsupervised Classification of Social Media Images: Nature's Contribution to People as case study | R Khaldi, D Alcaraz-Segura, I Sánchez-Herrera, J Martinez-Lopez, .... | 2024 |
| On Large Uni-and Multi-modal Models for Unsupervised Classification of Social Media Images: Nature's Contribution to People as case study | R Khaldi, D Alcaraz-Segura, I Sánchez-Herrera, J Martinez-Lopez, .... | 2024 |
| On Large Uni-and Multi-modal Models for Unsupervised Classification of Social Media Images: Nature's Contribution to People as case study | R Khaldi, D Alcaraz-Segura, I Sánchez-Herrera, J Martinez-Lopez, .... | 2024 |
| Deep Learning for blind spectral unmixing of LULC classes with MODIS multispectral time series and ancillary data | J Rodríguez-Ortega, R Khaldi, D Alcaraz-Segura, S Tabik. | 2023 |
| Bidirectional recurrent imputation and abundance estimation of LULC classes with MODIS multispectral time series and geo-topographic and climatic data | J Rodríguez-Ortega, R Khaldi, D Alcaraz-Segura, S Tabik. | 2023 |
| Andalusia-MSMTU | J Rodríguez-Ortega, R Khaldi, D Alcaraz-Segura, S Tabik. | 2023 |
| Human pose estimation for mitigating false negatives in weapon detection in video-surveillance | A Lamas, S Tabik, AC Montes, F Pérez-Hernández, J García, R Olmos, .... | 2022 |
| Action Recognition for Anomaly Detection Using Transfer Learning and Deep Architectures | FL Sánchez, S Tabik, F Herrera. | 2022 |
| Classifying the content of social media images to support cultural ecosystem service assessments using deep learning models | AS Cardoso, F Renna, R Moreno-Llorca, D Alcaraz-Segura, S Tabik, .... | 2022 |
| What is the best RNN-cell structure for forecasting each time series behavior? | R Khaldi, AE Afia, R Chiheb, S Tabik. | 2022 |
| TimeSpec4LULC: a global multispectral time series database for training LULC mapping models with machine learning | R Khaldi, D Alcaraz-Segura, E Guirado, Y Benhammou, A El Afia, .... | 2022 |
| Climate legacies drive the distribution and future restoration potential of dryland forests | E Guirado, M Delgado-Baquerizo, J Martínez-Valderrama, S Tabik, .... | 2022 |
| Sentinel2GlobalLULC: A Sentinel-2 RGB image tile dataset for global land use/cover mapping with deep learning | Y Benhammou, D Alcaraz-Segura, E Guirado, R Khaldi, B Achchab, .... | 2022 |
| What is the best RNN-cell structure to forecast each time series behavior? | R Khaldi, A El Afia, R Chiheb, S Tabik. | 2022 |
| TimeSpec4LULC: A Smart-Global Dataset of Multi-Spectral Time Series of MODIS Terra-Aqua from 2000 to 2021 for Training Machine Learning models to perform LULC Mapping | R Khaldi, D Alcaraz-Segura, E Guirado, Y Benhammou, S Tabik. | 2022 |
| Sentinel2GlobalLULC: A dataset of Sentinel-2 georeferenced RGB imagery annotated for global land use/land cover mapping with deep learning (License CC BY 4.0) | Y Benhammou, D Alcaraz-Segura, E Guirado, R Khaldi, S Tabik. | 2022 |
| Dataset of very-high-resolution satellite RGB images to train deep learning models to recognize high-mountain juniper shrubs from Sierra Nevada (Spain) | R Khaldi, S Puertas, S Tabik, D Alcaraz-Segura. | 2022 |
| Dataset of very-high-resolution satellite RGB images to train deep learning models to detect and segment high-mountain juniper shrubs in Sierra Nevada (Spain) | R Khaldi, S Puertas, S Tabik, D Alcaraz-Segura. | 2022 |
| EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case | N Díaz-Rodríguez, A Lamas, J Sanchez, G Franchi, I Donadello, S Tabik, .... | 2021 |
| CI-dataset and DetDSCI methodology for detecting too small and too large critical infrastructures in satellite images: Airports and electrical substations as case study | F Pérez-Hernández, J Rodríguez-Ortega, Y Benhammou, F Herrera, .... | 2021 |
| MULTICAST: MULTI Confirmation-level Alarm SysTem based on CNN and LSTM to mitigate false alarms for handgun detection in video-surveillance | R Olmos, S Tabik, F Perez-Hernandez, A Lamas, F Herrera. | 2021 |
| Mask R-CNN and OBIA Fusion Improves the Segmentation of Scattered Vegetation in Very High-Resolution Optical Sensors | E Guirado, J Blanco-Sacristán, E Rodríguez-Caballero, S Tabik, .... | 2021 |
| Olive Tree Biovolume from UAV Multi-Resolution Image Segmentation with Mask R-CNN | A Safonova, E Guirado, Y Maglinets, D Alcaraz-Segura, S Tabik. | 2021 |
| A data relocation approach for terrain surface analysis on multi-GPU systems: a case study on the total viewshed problem | AJ Sanchez-Fernandez, LF Romero, G Bandera, S Tabik. | 2021 |
| Deep learning assessment of cultural ecosystem services from social media images | AS Cardoso, F Renna, R Moreno-Llorca, D Alcaraz-Segura, S Tabik, .... | 2021 |
| TimeSpec4LULC: A Global Deep Learning-driven Dataset of MODIS Terra-Aqua Multi-Spectral Time Series for LULC Mapping and Change Detection | R Khaldi, D Alcaraz-Segura, E Guirado, Y Benhammou, A El Afia, .... | 2021 |
| Sentinel2GlobalLULC: A deep-learning-ready Sentinel-2 RGB image dataset for global land use/cover mapping | DA Segura, E Guirado, R Khaldi, B Achchab, F Herrera, S Tabik. | 2021 |
| VPP: Visibility-based Path Planning Heuristic for Monitoring Large Regions of Complex Terrain using a UAV Onboard Camera | AJ Sanchezfernandez, LF Romero, GB Burgueno, S Tabik. | 2021 |
| TimeSpec4LULC: A deep learning-oriented global dataset of MODIS Terra-Aqua multi-spectral time series measured from 2002 to 2021 for LULC mapping and change detection. | R Khaldi, D Alcaraz-Segura, E Guirado, Y Benhammou, S Tabik. | 2021 |
| Sentinel2GlobalLULC: A dataset of Sentinel-2 georeferenced RGB imagery acquired between June 2015 and October 2020 annotated for global land use/land cover mapping with deep … | Y Benhammou, D Alcaraz-Segura, R Khaldi, E Guirado, S Tabik. | 2021 |
| Tree Cover Estimation in Global Drylands from Space Using Deep Learning | E Guirado, D Alcaraz-Segura, J Cabello, S Puertas-Ruíz, F Herrera, .... | 2020 |
| A tutorial on ensembles and deep learning fusion with MNIST as guiding thread: A complex heterogeneous fusion scheme reaching 10 digits error | S Tabik, RF Alvear-Sandoval, MM Ruiz, JL Sancho-Gómez, .... | 2020 |
| 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. | 2020 |
| Array relocation approach for radial scanning algorithms on multi-GPU systems: total viewshed problem as a case study | AJ Sanchez, LF Romero, G Bandera, S Tabik. | 2020 |
| MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1 error rate. Ensembles overview and proposal | S Tabik, RF Alvear-Sandoval, MM Ruiz, JL Sancho-Gómez, .... | 2020 |
| FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations | M Rey-Area, E Guirado, S Tabik, J Ruiz-Hidalgo. | 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, .... | 2020 |
| Asynchronous Processing for Latent Fingerprint Identification on Heterogeneous CPU-GPU Systems | AJ Sanchez, LF Romero, D Peralta, MA Medina-Pérez, Y Saeys, .... | 2020 |
| Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects | FL Sánchez, I Hupont, S Tabik, F Herrera. | 2020 |
| Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges | AD Martinez, J Del Ser, E Villar-Rodriguez, E Osaba, J Poyatos, S Tabik, .... | 2020 |
| MonuMAI: Dataset, deep learning pipeline and citizen science based app for monumental heritage taxonomy and classification | A Lamas, S Tabik, P Cruz, R Montes, Á Martínez-Sevilla, T Cruz, .... | 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, .... | 2019 |
| 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. | 2019 |
| 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, .... | 2019 |
| Deep recurrent neural network for geographical entities disambiguation on social media data | C Zuheros, S Tabik, A Valdivia, E Martínez-Cámara, F Herrera. | 2019 |
| Redes Neuronales Convolucionales para Una Clasificacion Precisa de Imágenes de Corales | A Gómez-Rıos, S Tabik, J Luengo, F Herrera, ASM Shihavuddin, .... | 2019 |
| Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks | A Gómez-Ríos, S Tabik, J Luengo, ASM Shihavuddin, F Herrera. | 2019 |
| Deep Learning in Video Multi-Object Tracking: A Survey | G Ciaparrone, FL Sánchez, S Tabik, L Troiano, R Tagliaferri, F Herrera. | 2019 |
| Reorganización de matrices en algoritmos de barrido radial sobre Modelos Digitales del Terreno | LF Romero-Gomez, S Tabik, G Bandera-Burgueño. | 2019 |
| BreakHis based Breast Cancer Automatic Diagnosis using Deep Learning: Taxonomy, Survey and Insights | Y Benhammou, B Achchab, F Herrera, S Tabik. | 2019 |
| Whale counting in satellite and aerial images with deep learning | E Guirado, S Tabik, ML Rivas, D Alcaraz-Segura, F Herrera. | 2019 |
| MASK R-CNN FOR SEGMENTATION OF OLIVE TREES | AN Safonova, E Guirado, S Tabik, D Alcaraz-Segura, YA Maglinets. | 2019 |
| Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI | AB Arrieta, N Díaz-Rodríguez, J Del Ser, A Bennetot, S Tabik, A Barbado, .... | 2019 |
| Deep Learning in Omics Data Analysis and Precision Medicine | J Martorell-Marugán, S Tabik, Y Benhammou, C del Val, I Zwir, F Herrera, .... | 2019 |
| Segmentation of Olive Trees Using Mask R-CNN Architecture | AN Safonova, YA Maglinets, S Tabik. | 2019 |
| Gil-L opez | AB Arrieta, N Díaz-Rodríguez, J Del Ser, A Bennetot, S Tabik, A Barbado, .... | 2019 |
| Automatic Handgun Detection Alarm in Videos Using Deep Learning | R Olmos, S Tabik, F Herrera. | 2018 |
| 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. | 2018 |
| 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. | 2018 |
| Framework for the Training of Deep Neural Networks in TensorFlow Using Metaheuristics | J Muñoz-Ordóñez, C Cobos, M Mendoza, E Herrera-Viedma, F Herrera, .... | 2018 |
| A First Step to Accelerating Fingerprint Matching Based on Deformable Minutiae Clustering | AJ Sanchez, LF Romero, S Tabik, MA Medina-Pérez, F Herrera. | 2018 |
| Acelerando la comparación de huellas dactilares basadas en agrupaciones deformables de minucias | LF Romero, AJ Sánchez, S Tabik. | 2018 |
| XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018) | JDELSER FRANCISCO HERRERA, SERGIO DAMAS, ROSANA MONTES, SERGIO ALONSO .... | 2018 |
| APPLICATION OF CONVOLUTIONAL NEURAL NETWORKS IN DETECTION OF FOREST DAMAGE CAUSED BY THE POLYGRAPHUS PROXIMUS BEETLE | A Safonova, A Rubtsov, S Tabik, D Alcaraz-Segura. | 2018 |
| Automatic whale counting in satellite images with deep learning | E Guirado, S Tabik, ML Rivas, D Alcaraz-Segura, F Herrera. | 2018 |
| A tuning approach for iterative multiple 3d stencil pipeline on GPUs: Anisotropic Nonlinear Diffusion algorithm as case study | S Tabik, M Peemen, LF Romero. | 2018 |
| Red Neural Recurrente para la Desambiguacion de Entidades en Datos de Medios Sociales | C Zuheros, S Tabik, A Valdivia, E Martınez-Cámara, F Herrera. | 2018 |
| Evaluacion de estrategias de binarizacion en la clasificacion de imágenes usando deep learning | F Pérez, S Tabik, A Castillo, H Fujita, F Herrera. | 2018 |
| Competicion CAEPIA-App: MonuMAI, una app para incrementar el valor social del patrimonio-arquitectonico andaluz | F Herrera, A Martinez-Sevilla, S Tabik, R Montes, A Castillo, TC Sánchez, .... | 2018 |
| Preprocesamiento guiado por luminosidad para la deteccion automática de armas blancas en video vigilancia con Deep Learning | A Castillo, S Tabik, F Pérez, R Olmos, F Herrera. | 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. | 2017 |
| A snapshot of image pre-processing for convolutional neural networks: case study of MNIST | S Tabik, D Peralta, A Herrera-Poyatos, F Herrera. | 2017 |
| Total 3D‐viewshed Map: Quantifying the Visible Volume in Digital Elevation Models | AR Cervilla, S Tabik, J Vías, M Mérida, LF Romero. | 2017 |
| Descubriendo al pistolero: La inteligencia artificial aplicada a la detección de armas en tiempo real | S Tabik, R Olmos, F Herrera. | 2017 |
| A Data Partitioning Model for Highly Heterogeneous Systems | S Tabik, G Ortega, EM Garzón, D Suárez. | 2016 |
| Siting multiple observers for maximum coverage: An accurate approach | AR Cervilla, S Tabik, LF Romero. | 2015 |
| Demystifying the 16× 16 thread‐block for stencils on the GPU | S Tabik, M Peemen, N Guil, H Corporaal. | 2015 |
| 3D-viewshed map: a measure of landscape deepness | AR Cervilla, S Tabik, LF Romero. | 2015 |
| Siting Multiple Observers for Maximum Coverage: An Accurate Approach. | AR Cervilla, S Tabik, LF Romero. | 2015 |
| Performance evaluation of kernel fusion BLAS routines on the GPU: iterative solvers as case study | S Tabik, G Ortega, EM Garzón. | 2014 |
| Efficient data structure and highly scalable algorithm for total-viewshed computation | S Tabik, AR Cervilla, E Zapata, LF Romero. | 2014 |
| Evaluating the Fission/fusion Transformation of an Iterative Multiple 3D-stencil on GPUs | S Tabik, A Murarasu, LF Romero. | 2014 |
| Anisotropic nonlinear diffusion for filtering 3D images on GPUs | S Tabik, A Murarasu, LF Romero. | 2014 |
| 16 Cards to Get Into Computer Organization | S Tabik, LF Romero. | 2014 |
| Simultaneous computation of total viewshed on large high resolution grids | S Tabik, EL Zapata, LF Romero. | 2013 |
| Optimal tilt and orientation maps: a multi-algorithm approach for heterogeneous multicore-GPU systems | S Tabik, A Villegas, EL Zapata, LF Romero. | 2013 |
| Numerical simulations of dynamics and emission from relativistic astrophysical jets | P Mimica, MA Aloy, JM Rueda-Becerril, S Tabik, C Aloy. | 2013 |
| Performance Analysis of the Multi-pass Transformation for Complex 3D-Stencils on GPUs | E López-Zapata, LF Romero, S Tabik. | 2013 |
| A job scheduling approach for multi-core clusters based on virtual malleability | G Utrera, S Tabik, J Corbalan, J Labarta. | 2012 |
| A fast GIS-tool to compute the maximum solar energy on very large terrains | S Tabik, A Villegas, EL Zapata, LF Romero. | 2012 |
| VLBI-resolution radio-map algorithms: Performance analysis of different levels of data-sharing on multi-socket, multi-core architectures | S Tabik, LF Romero, P Mimica, O Plata, EL Zapata. | 2012 |
| Visibilidad total para observadores desligados del terreno | AR Cervilla, S Tabik, EL Zapata, LF Romero. | 2012 |
| High-performance three-horizon composition algorithm for large-scale terrains | S Tabik, LF Romero, EL Zapata. | 2011 |
| Spectral evolution simulation on leading multi-socket, multicore platforms | S Tabik, P Mimica, O Plata, E Zapata, LF Romero. | 2011 |
| Determination of traffic control tables by HPC | EMT Hendrix, S Tabik, R Haijema. | 2011 |
| 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. | 2010 |
| Mapping parallel loops on multicore systems | S Tabik, F Romero, GM Utrera Iglesias, O Plata. | 2010 |
| Analytical modeling of pipeline parallelism | A Navarro, R Asenjo, S Tabik, C Cascaval. | 2009 |
| Load balancing using work-stealing for pipeline parallelism in emerging applications | A Navarro, R Asenjo, S Tabik, C Caşcaval. | 2009 |
| Fast clear-sky solar irradiation computation for very large digital elevation models | LF Romero, S Tabik, JM Vías, EL Zapata. | 2008 |
| Parallel computing of partial differential equations-based applications | S Tabik. | 2008 |
| On a model of three-dimensional bursting and its parallel implementation | S Tabik, LF Romero, EM Garzón, JI Ramos. | 2008 |
| High performance noise reduction for biomedical multidimensional data | S Tabik, EM Garzón, I García, JJ Fernández. | 2007 |
| Fast insolation computation in large territories | S Tabik, JM Vías, EL Zapata, LF Romero. | 2007 |
| Three–Dimensional Bursting Simulation on Two Parallel Systems | S Tabik, LF Romero, EM Garzón, I García, JI Ramos. | 2007 |
| Three-dimensional bursting and parallel computing | S Tabik, LF Romero, EM Garzon, JI Ramos. | 2007 |
| Evaluation of parallel paradigms on Anisotropic Nonlinear Diffusion | S Tabik, EM Garzón, I García, JJ Fernández. | 2006 |
| Multiprocessing of Anisotropic Nonlinear Diffusion for filtering 3D images | S Tabik, EM Garzon, I García, JJ Fernandez. | 2006 |
| Parallel simulation of three–dimensional bursting with MPI and OpenMP | S Tabik, LF Romero, EM Garzón, JI Ramos. | 2006 |
| Implementation of anisotropic nonlinear diffusion for filtering 3D images in structural biology on SMP clusters | S Tabik, EM Garzón, G Inmaculada, F José-Jesús. | 2005 |
| Filtering 3D images in Structural Biology with Anisotropic Nonlinear Diffusion on SMP Clusters. | S Tabik, EM Garzón, I García, JJ Fernández. | 2005 |
| Chapter 1-Large Scale Computations-Analysis of the Interaction of Electromagnetic Signals with Thin-Wire Structures. Multiprocessing Issues for an Iterative Method | E Martin Garzon, S Tabik, AR Bretones, I Garcia. | 2005 |
| Multiprocessing of the time domain analysis of thin-wire antennas and scatterers | EM Garzon, S Tabik, I García, A Bretones. | 2004 |
| Analysis of the interaction of electromagnetic signals with thin-wires structures. multiprocessing issues for an iterative method | EM Garzón, S Tabik, AR Bretones, I García. | 2004 |
| Multiprocessing issues for an iterative method. | EM Garzón, S Tabik, AR Bretones, I García. | 2004 |
| Analysis of the Interaction of Electromagnetic Signals with Thin-Wires Structures. | S Tabik, AR Bretones, I García. | 2004 |
| Analysis of the interaction of electromagnetic signals with thin-wires structures. Multiprocessing issues for an iterative method. | EM Garzón, S Tabik, AR Bretones, I García. | 2004 |
| Distribuciones de datos basadas en valores para matrices dispersas: dos soluciones basadas en permutaciones | IG Fernández, S Tabik, EM Garzón. | 2002 |
| Computational physics | J Qiang, RD Ryne, FD Colavecchia, G Gasaneo, JE Miraglia, .... | 2001 |
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