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Siham Tabik

University of Granada
University of Málaga

103

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EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case

2022 Information Fusion
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What is the best RNN-cell structure for forecasting each time series behavior?

2022 CoRR
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VPP: Visibility-Based Path Planning Heuristic for Monitoring Large Regions of Complex Terrain Using a UAV Onboard Camera.

2022 IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
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Small and large scale critical infrastructures detection based on deep learning using high resolution orthogonal images.

2021 arXiv: Computer Vision and Pattern Recognition
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A data relocation approach for terrain surface analysis on multi-GPU systems: a case study on the total viewshed problem.

2021 arXiv: Data Structures and Algorithms
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CI-dataset and DetDSCI methodology for detecting too small and too large critical infrastructures in satellite images: Airports and electrical substations as case study.

2021 arXiv: Computer Vision and Pattern Recognition
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CI-dataset and DetDSCI methodology for detecting too small and too large critical infrastructures in satellite images: Airports and electrical substations as case study

2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case.

2021 arXiv: Learning
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Mask R-CNN and OBIA Fusion Improves the Segmentation of Scattered Vegetation in Very High-Resolution Optical Sensors.

2021 Sensors
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FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations

2020 Information Fusion
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