Saved in:
| Main Authors: | Mustafa, Yasmine, Elmahallawy, Mohamed, Luo, Tie |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.03230 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations
by: Mustafa, Yasmine, et al.
Published: (2024)
by: Mustafa, Yasmine, et al.
Published: (2024)
Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision
by: Mustafa, Yasmine, et al.
Published: (2024)
by: Mustafa, Yasmine, et al.
Published: (2024)
FisherMask: Enhancing Neural Network Labeling Efficiency in Image Classification Using Fisher Information
by: Gul, Shreen, et al.
Published: (2024)
by: Gul, Shreen, et al.
Published: (2024)
LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training
by: Gul, Shreen, et al.
Published: (2024)
by: Gul, Shreen, et al.
Published: (2024)
An Explainable Transformer Model for Alzheimer's Disease Detection Using Retinal Imaging
by: Jamshidiha, Saeed, et al.
Published: (2025)
by: Jamshidiha, Saeed, et al.
Published: (2025)
Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation
by: Chen, Xiaohui, et al.
Published: (2024)
by: Chen, Xiaohui, et al.
Published: (2024)
Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning
by: Elmahallawy, Mohamed, et al.
Published: (2024)
by: Elmahallawy, Mohamed, et al.
Published: (2024)
Enabling Heterogeneous Adversarial Transferability via Feature Permutation Attacks
by: Wu, Tao, et al.
Published: (2025)
by: Wu, Tao, et al.
Published: (2025)
What Helps---and What Hurts: Bidirectional Explanations for Vision Transformers
by: Su, Qin, et al.
Published: (2026)
by: Su, Qin, et al.
Published: (2026)
Benchmarking Vision Transformers and CNNs for Thermal Photovoltaic Fault Detection with Explainable AI Validation
by: Aksoy, Serra
Published: (2025)
by: Aksoy, Serra
Published: (2025)
Eigen Neural Network: Unlocking Generalizable Vision with Eigenbasis
by: Cheng, Anzhe, et al.
Published: (2025)
by: Cheng, Anzhe, et al.
Published: (2025)
Leaf-Based Plant Disease Detection and Explainable AI
by: Sagar, Saurav, et al.
Published: (2023)
by: Sagar, Saurav, et al.
Published: (2023)
OMNI-Dent: Towards an Accessible and Explainable AI Framework for Automated Dental Diagnosis
by: Jang, Leeje, et al.
Published: (2026)
by: Jang, Leeje, et al.
Published: (2026)
VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems
by: Srivastava, Aadi, et al.
Published: (2025)
by: Srivastava, Aadi, et al.
Published: (2025)
Exploiting Alpha Transparency In Language And Vision-Based AI Systems
by: Noever, David, et al.
Published: (2024)
by: Noever, David, et al.
Published: (2024)
Shortcut Invariance: Targeted Jacobian Regularization in Disentangled Latent Space
by: Pal, Shivam, et al.
Published: (2025)
by: Pal, Shivam, et al.
Published: (2025)
Leveraging Expert Input for Robust and Explainable AI-Assisted Lung Cancer Detection in Chest X-rays
by: Rafferty, Amy, et al.
Published: (2024)
by: Rafferty, Amy, et al.
Published: (2024)
Towards a Transparent and Interpretable AI Model for Medical Image Classifications
by: Wen, Binbin, et al.
Published: (2025)
by: Wen, Binbin, et al.
Published: (2025)
An Explainable Fast Deep Neural Network for Emotion Recognition
by: Di Luzio, Francesco, et al.
Published: (2024)
by: Di Luzio, Francesco, et al.
Published: (2024)
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations
by: Chakraborty, Rwiddhi, et al.
Published: (2024)
by: Chakraborty, Rwiddhi, et al.
Published: (2024)
Accelerating Image Classification with Graph Convolutional Neural Networks using Voronoi Diagrams
by: Gharasuie, Mustafa Mohammadi, et al.
Published: (2025)
by: Gharasuie, Mustafa Mohammadi, et al.
Published: (2025)
Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring
by: Piran, Fardin Jalil, et al.
Published: (2024)
by: Piran, Fardin Jalil, et al.
Published: (2024)
Melanoma Classification Through Deep Ensemble Learning and Explainable AI
by: Perera, Wadduwage Shanika, et al.
Published: (2025)
by: Perera, Wadduwage Shanika, et al.
Published: (2025)
On the Road to Clarity: Exploring Explainable AI for World Models in a Driver Assistance System
by: Roshdi, Mohamed, et al.
Published: (2024)
by: Roshdi, Mohamed, et al.
Published: (2024)
X-VMamba: Explainable Vision Mamba
by: Mabrok, Mohamed A., et al.
Published: (2025)
by: Mabrok, Mohamed A., et al.
Published: (2025)
Explainable YOLO-Based Dyslexia Detection in Synthetic Handwriting Data
by: Fink, Nora
Published: (2025)
by: Fink, Nora
Published: (2025)
NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance
by: Chhetri, Anju, et al.
Published: (2025)
by: Chhetri, Anju, et al.
Published: (2025)
Enclosing Prototypical Variational Autoencoder for Explainable Out-of-Distribution Detection
by: Orglmeister, Conrad, et al.
Published: (2025)
by: Orglmeister, Conrad, et al.
Published: (2025)
ProtoP-OD: Explainable Object Detection with Prototypical Parts
by: Rath-Manakidis, Pavlos, et al.
Published: (2024)
by: Rath-Manakidis, Pavlos, et al.
Published: (2024)
Controlling diverse robots by inferring Jacobian fields with deep networks
by: Li, Sizhe Lester, et al.
Published: (2024)
by: Li, Sizhe Lester, et al.
Published: (2024)
XIMAGENET-12: An Explainable AI Benchmark Dataset for Model Robustness Evaluation
by: Li, Qiang, et al.
Published: (2023)
by: Li, Qiang, et al.
Published: (2023)
Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsy
by: Pellano, Kimji N., et al.
Published: (2024)
by: Pellano, Kimji N., et al.
Published: (2024)
Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks
by: Kalle, Alper, et al.
Published: (2025)
by: Kalle, Alper, et al.
Published: (2025)
Feature Map Similarity Reduction in Convolutional Neural Networks
by: Belmekki, Zakariae, et al.
Published: (2024)
by: Belmekki, Zakariae, et al.
Published: (2024)
Prototype Fusion: A Training-Free Multi-Layer Approach to OOD Detection
by: Gul, Shreen, et al.
Published: (2026)
by: Gul, Shreen, et al.
Published: (2026)
Explainable Deepfake Video Detection using Convolutional Neural Network and CapsuleNet
by: Ishrak, Gazi Hasin, et al.
Published: (2024)
by: Ishrak, Gazi Hasin, et al.
Published: (2024)
A Concept-Based Explainability Framework for Large Multimodal Models
by: Parekh, Jayneel, et al.
Published: (2024)
by: Parekh, Jayneel, et al.
Published: (2024)
Pairing Regularization for Mitigating Many-to-One Collapse in GANs
by: Lin, Kuan-Yu, et al.
Published: (2026)
by: Lin, Kuan-Yu, et al.
Published: (2026)
Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification
by: Hinns, James, et al.
Published: (2025)
by: Hinns, James, et al.
Published: (2025)
CNN Explainability with Multivector Tucker Saliency Maps for Self-Supervised Models
by: Bouayed, Aymene Mohammed, et al.
Published: (2024)
by: Bouayed, Aymene Mohammed, et al.
Published: (2024)
Similar Items
-
Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations
by: Mustafa, Yasmine, et al.
Published: (2024) -
Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision
by: Mustafa, Yasmine, et al.
Published: (2024) -
FisherMask: Enhancing Neural Network Labeling Efficiency in Image Classification Using Fisher Information
by: Gul, Shreen, et al.
Published: (2024) -
LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training
by: Gul, Shreen, et al.
Published: (2024) -
An Explainable Transformer Model for Alzheimer's Disease Detection Using Retinal Imaging
by: Jamshidiha, Saeed, et al.
Published: (2025)