Haikel Salem Alhichri
Orcid: 0000-0003-2164-043XAffiliations:
- King Saud University, Department of Computer Engineering, Riyadh, Saudi Arabia
According to our database1,
Haikel Salem Alhichri
authored at least 52 papers
between 2001 and 2023.
Collaborative distances:
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Bibliography
2023
Ann. GIS, January, 2023
Cross-dataset domain adaptation for the classification COVID-19 using chest computed tomography images.
CoRR, 2023
Prototypical Networks for Remote Sensing Scene Classification : Episodic Versus Classical Training.
Proceedings of the Signal Processing: Algorithms, 2023
2022
IEEE Geosci. Remote. Sens. Lett., 2022
Heartprint: A Dataset of Multisession ECG Signal with Long Interval Captured from Fingers for Biometric Recognition.
Data, 2022
2021
SSDAN: Multi-Source Semi-Supervised Domain Adaptation Network for Remote Sensing Scene Classification.
Remote. Sens., 2021
IEEE Geosci. Remote. Sens. Lett., 2021
Unified Generative Adversarial Networks for Multidomain Fingerprint Presentation Attack Detection.
Entropy, 2021
LwF-ECG: Learning-without-forgetting approach for electrocardiogram heartbeat classification based on memory with task selector.
Comput. Biol. Medicine, 2021
Classification of Remote Sensing Images Using EfficientNet-B3 CNN Model With Attention.
IEEE Access, 2021
A Deep Learning Model based on MobileNetV3 and UNet for Spinal Cord Gray Matter Segmentation.
Proceedings of the 44th International Conference on Telecommunications and Signal Processing, 2021
Classification of Remote Sensing scenes using Semi-Supervised Domain Adaptation based on Entropy Adversarial Optimization.
Proceedings of the NISS2021: The 4th International Conference on Networking, Information Systems & Security, KENITRA, Morocco, April 1, 2021
2020
Deep Open-Set Domain Adaptation for Cross-Scene Classification based on Adversarial Learning and Pareto Ranking.
Remote. Sens., 2020
Real-Time Mobile-Based Electrocardiogram System for Remote Monitoring of Patients with Cardiac Arrhythmias.
Int. J. Pattern Recognit. Artif. Intell., 2020
Electrocardiogram heartbeat classification based on a deep convolutional neural network and focal loss.
Comput. Biol. Medicine, 2020
2019
Simple Yet Effective Fine-Tuning of Deep CNNs Using an Auxiliary Classification Loss for Remote Sensing Scene Classification.
Remote. Sens., 2019
2018
Learning a Multi-Branch Neural Network from Multiple Sources for Knowledge Adaptation in Remote Sensing Imagery.
Remote. Sens., 2018
Siamese-GAN: Learning Invariant Representations for Aerial Vehicle Image Categorization.
Remote. Sens., 2018
J. Sensors, 2018
Generative Adversarial Networks for Cross-Scene Classification in Remote Sensing Images.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Automatic Premature Ventricular Contractions Detection for Multi-Lead Electrocardiogram Signal.
Proceedings of the 2018 IEEE International Conference on Electro/Information Technology, 2018
Proceedings of the 2018 IEEE International Conference on Electro/Information Technology, 2018
2017
IEEE Trans. Geosci. Remote. Sens., 2017
2016
IEEE Geosci. Remote. Sens. Lett., 2016
Inf. Sci., 2016
Multiple Object Scene Description for the Visually Impaired Using Pre-trained Convolutional Neural Networks.
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016
2015
Fusion of Extreme Learning Machine and Graph-Based Optimization Methods for Active Classification of Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2015
Classification of AAMI heartbeat classes with an interactive ELM ensemble learning approach.
Biomed. Signal Process. Control., 2015
A deep learning approach for unsupervised domain adaptation in multitemporal remote sensing images.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
A hierarchical learning paradigm for semi-supervised classification of remote sensing images.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
Robust Estimation of Water Chlorophyll Concentrations With Gaussian Process Regression and IOWA Aggregation Operators.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
Differential Evolution Extreme Learning Machine for the Classification of Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett., 2014
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2013
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013
Interactive Segmentation for Change Detection in Multispectral Remote-Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2013
Premature Ventricular Contraction Arrhythmia Detection and Classification with Gaussian Process and S Transform.
Proceedings of the Fifth International Conference on Computational Intelligence, 2013
2012
IEEE Trans. Inf. Technol. Biomed., 2012
Interactive change detection techniques in multitemporal multispectral remote sensing images.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Robust classification of hyperspectral images based on the combination of supervised and unsupervised learning paradigms.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
Int. J. Image Graph., 2011
A cluster ensemble method for robust unsupervised classification of VHR remote sensing images.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
2008
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008
2004
2003
Pattern Recognit. Lett., 2003
Proceedings of the 2003 International Conference on Image Processing, 2003
2002
Pattern Recognit. Lett., 2002
Proceedings of the 16th International Conference on Pattern Recognition, 2002
2001
Proceedings of the 2001 International Conference on Image Processing, 2001