SIHAM TABIK OULED HROUR-rekin lankidetzan egindako argitalpenak (38)

2022

  1. Action Recognition for Anomaly Detection Using Transfer Learning and Deep Architectures

    Lecture Notes in Networks and Systems

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

    Information Fusion, Vol. 79, pp. 58-83

  3. Human pose estimation for mitigating false negatives in weapon detection in video-surveillance

    Neurocomputing, Vol. 489, pp. 488-503

  4. Sentinel2GlobalLULC: A Sentinel-2 RGB image tile dataset for global land use/cover mapping with deep learning

    Scientific Data

  5. TimeSpec4LULC: a global multispectral time series database for training LULC mapping models with machine learning

    Earth System Science Data

2021

  1. 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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 14, pp. 12149-12162

  2. Inteligencia artificial y tecnologías digitales para los ODS

    Real Academia de Ingeniería

  3. Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges

    Information Fusion, Vol. 67, pp. 161-194

  4. MonuMAI: Dataset, deep learning pipeline and citizen science based app for monumental heritage taxonomy and classification

    Neurocomputing, Vol. 420, pp. 266-280

2020

  1. Asynchronous Processing for Latent Fingerprint Identification on Heterogeneous CPU-GPU Systems

    IEEE Access, Vol. 8, pp. 124236-124253

  2. BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights

    Neurocomputing, Vol. 375, pp. 9-24

  3. COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images

    IEEE Journal of Biomedical and Health Informatics, Vol. 24, Núm. 12, pp. 3595-3605

  4. Deep learning in video multi-object tracking: A survey

    Neurocomputing, Vol. 381, pp. 61-88

  5. Explainable Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

    Information Fusion, Vol. 58, pp. 82-115

  6. MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1% error rate. ensembles overview and proposal

    Information Fusion, Vol. 62, pp. 73-80

  7. Object Detection Binary Classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance

    Knowledge-Based Systems, Vol. 194

  8. Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects

    Information Fusion, Vol. 64, pp. 318-335

  9. Tree cover estimation in global drylands from space using deep learning

    Remote Sensing, Vol. 12, Núm. 3

2019

  1. A binocular image fusion approach for minimizing false positives in handgun detection with deep learning

    Information Fusion, Vol. 49, pp. 271-280

  2. Brightness guided preprocessing for automatic cold steel weapon detection in surveillance videos with deep learning

    Neurocomputing, Vol. 330, pp. 151-161