43 results on '"Walid Barhoumi"'
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2. An Explainable Method for Cost-Efficient Multi-View Fall Detection.
3. ACCP-MC-U-Net: Automatic Corpus Callosum Parcellation from brain MRI scans using MultiClass U-Net.
4. Unraveling the Black Box: Interpreting CNNs for Leaf Disease Detection through Model Analysis and Feature Importance.
5. Four-layer Architecture for IoT Security in Fog Network.
6. Towards a Better Understanding of Human Emotions: Challenges of Dataset Labeling.
7. Hierarchical Convolutional Neural Networks for Leaf Disease Detection.
8. Multi-View-Based Apple Maturity Classification Using Similarity Network Fusion Versus Classical Machine Learning Classifiers.
9. ResNet Classifier Using Shearlet-Based Features for Detecting Change in Satellite Images.
10. YCbCr Color Space as an Effective Solution to the Problem of Low Emotion Recognition Rate of Facial Expressions In-The-Wild.
11. Enhancing Change Detection in Spectral Images: Integration of UNet and ResNet Classifiers.
12. Glioma Tumor's Detection and Classification Using Joint YOLOv7 and Active Contour Model.
13. Dealing with Unbalanced Data in Leaf Disease Detection: A Comparative Study of Hierarchical Classification, Clustering-based Undersampling and Reweighting-based Approaches.
14. Brain Tumor Segmentation of Lower-Grade Glioma Across MRI Images Using Hybrid Convolutional Neural Networks.
15. Segmented Glioma Classification Using Radiomics-Based Machine Learning: A Comparative Analysis of Feature Selection Techniques.
16. An Accurate Random Forest-Based Action Recognition Technique Using only Velocity and Landmarks' Distances.
17. Automated Late Fusion of Low Level Descriptors for Feature Extraction and Texture Classification Using Data Augmentation.
18. Shared Information-Based Late Fusion for Four Mammogram Views Retrieval using Data-driven Distance Selection.
19. Efficient Face Verification Under Makeup Changes Using Few Salient Regions.
20. Change detection in optical remote sensing images using shearlet transform and convolutional neural networks.
21. A comparative study on the importance of each face part in facial gender recognition via convolutional neural networks.
22. Towards a deep neural method based on freezing layers for in-the-wild facial emotion recognition.
23. Driver Drowsiness Detection Based on Joint Monitoring of Yawning, Blinking and Nodding.
24. Comparative Study of Relevant Methods for MRI/X Brain Image Registration.
25. Unsupervised Method Based on Superpixel Segmentation for Corpus Callosum Parcellation in MRI Scans.
26. A Genetic Programming Method for Scale-Invariant Texture Classification.
27. Weighted Linear Combination of Distances within Two Manifolds for 3D Human Action Recognition.
28. Unsupervised Method based on Probabilistic Neural Network for the Segmentation of Corpus Callosum in MRI Scans.
29. Modeling Trajectories for 3D Motion Analysis.
30. Towards semantic visual features for malignancy description within medical images.
31. Fully Automated Facial Expression Recognition Using 3D Morphable Model and Mesh-Local Binary Pattern.
32. Analysis of Skeletal Shape Trajectories for Person Re-Identification.
33. Optical-Flow-Based Approach for the Detection of Shoreline Changes Using Remote Sensing Data.
34. Multimodal Registration of PET/MR Brain Images Based on Adaptive Mutual Information.
35. Content-Based Mammogram Retrieval Using Mixed Kernel PCA and Curvelet Transform.
36. Multi-scale Kernel PCA and Its Application to Curvelet-Based Feature Extraction for Mammographic Mass Characterization.
37. Retinal blood vessel segmentation in fundus images based on morphological operators within entropy information.
38. Curvelet-based locality sensitive hashing for mammogram retrieval in large-scale datasets.
39. Negative Relevance Feedback for Improving Retrieval in Large-Scale Image Collections.
40. Image retrieval based on wavelet sub-bands and fuzzy weighted regions.
41. Effective Region-based Relevance Feedback for Interactive Content-based Image Retrieval.
42. Multi-view score fusion for content-based mammogram retrieval.
43. Towards a standard approach for medical images segmentation.
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