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  • Suche: Explainable and Interpretable Models in Computer Vision and Machine Learning

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1

An Explainable Multi-Level Framework for Cervical Cancer Detection Using Traditional Computer Vision and Deep Learning
Medha Chawla ; Pratik Chakraborty ; Sriram Sunderrajan ; et al.
IEEE Access, Vol 14, Pp 12273-12296 (2026)

Cervical cancer detectio... pap smear classification deep learning and machin... explainable AI (XAI) Grad-CAM hybrid CNN-transformer …
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2

Explainable and Interpretable Models in Computer Vision and Machine Learning
Hugo Jair Escalante ; Sergio Escalera ; Isabelle Guyon ; et al.

Artificial intelligence Computer vision Pattern recognition syst...
E-Book
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3

Explainable and Interpretable Models in Computer Vision and Machine Learning
Escalante, Hugo Jair ; Escalera, Sergio ; Guyon, Isabelle ; et al.
The Springer Series on Challenges in Machine Learning ISBN: 9783319981307

[INFO.INFO-AI] Computer... Springer Series on Chall... Cognitive artificial int... DI-BCB_DCC_Theme 4: Brai...
Buch
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4

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5

Explainable and interpretable models in computer vision and machine learning
Escalante, H.J. ; Escalera, S. ; Guyon, I. ; et al.
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6

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7

Glaucoma detection with explainable AI using convolutional neural networks based feature extraction and machine learning classifiers.
Velpula, Vijaya Kumar ; Sharma, Diksha ; Sharma, Lakhan Dev ; et al.
IET Image Processing (Wiley-Blackwell). 11/13/2024, Vol. 18 Issue 13, p3827-3853. 27p.

ARTIFICIAL intelligence IMAGE recognition (Compu... CONVOLUTIONAL neural net... FEATURE extraction VISION disorders
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8

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9

Dual-Path Convolutional Neural Network with Squeeze-and-Excitation Attention for Lung and Colon Histopathology Classification
Helala AlShehri
Journal of Imaging, Vol 11, Iss 12, p 448 (2025)

explainable AI interpretable deep learn... computer vision histopathology lung cancer colon cancer …
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10

Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care
Tin Lai
BioMedInformatics, Vol 4, Iss 1, Pp 113-126 (2024)

explainable AI (XAI) multi-head attention vision transformer interpretability in arti... computer vision for medi... AI for medical domain …
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11

Human-Centered User Interface Design for Explainable AI in Chest Radiology: A Multi-Phase Co-Design Approach
Shereen Fouad ; Lilit Hakobyan ; Izegbua E. Ihongbe ; et al.
IEEE Access, Vol 14, Pp 12498-12513 (2026)

Explainable artificial i... medical image analysis deep learning human–computer interacti... chest radiography Electrical engineering.... …
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12

A hybrid CNN model for multi-class freshness and disease detection in local spinach varieties
Aniket K. Shahade ; Priyanka V. Deshmukh ; Vidula V. Meshram ; et al.
BMC Plant Biology, Vol 26, Iss 1 (2026)

Spinach freshness Plant disease detection Convolutional neural net... Hybrid deep learning Computer vision Precision agriculture …
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13

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14

Adversarially Robust and Explainable Insulator Defect Detection for Smart Grid Infrastructure
Mubarak Alanazi
Energies, Vol 19, Iss 4, p 1013 (2026)

YOLOv12 attention mechanism computer vision deep learning artificial intelligence adversarial robustness …
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15

OEF-LULC: An Optimized and Explainable AI-Based Framework for Land Use Land Cover Classification
Ruaa A. Al-Falluji ; Marwan Ali Albahar
IEEE Access, Vol 14, Pp 38745-38757 (2026)

Artificial intelligence computer vision data mining Earth observation environmental monitoring explainable AI …
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16

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17

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18

Tabular diffusion counterfactual explanations
Wei Zhang ; Brian Barr ; John Paisley
Frontiers in Artificial Intelligence, Vol 9 (2026)

controllable diffusion m... counterfactual generatio... heterogeneous data discrete diffusion model... explainable machine lear... Electronic computers. Co... …
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19

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20

XAI‐Driven Resilient Image Classification in the Presence of Adversarial Perturbations.
Oveis, Amir Hosein ; Giusti, Elisa ; Cantelli‐Forti, Alessandro ; et al.
IET Radar, Sonar & Navigation (Wiley-Blackwell). Jan2025, Vol. 19 Issue 1, p1-8. 8p.

ARTIFICIAL neural networ... ARTIFICIAL intelligence IMAGE recognition (Compu... DEEP learning
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