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Leveraging explainable artificial intelligence for transparent and trustworthy cancer detection systems
Toumaj, Shiva ; Heidari, Arash ; Jafari Navimipour, Nima
In Artificial Intelligence In Medicine November 2025 169

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3

Data-centric explainable artificial intelligence techniques for cyber-attack detection in microgrid networks
Trivedi, Rohit ; Patra, Sandipan ; Khadem, Shafi
In Energy Reports June 2025 13:217-229

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4

Detecting AI-Generated Pseudocode in High School Online Programming Courses Using an Explainable Approach
Liu, Zifeng ; Jiao, Xinyue ; Xing, Wanli ; et al.
Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1. :701-707

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5

OpenFL-XAI: Federated learning of explainable artificial intelligence models in Python
Mattia Daole ; Alessio Schiavo ; José Luis Corcuera Bárcena ; et al.
SoftwareX, Vol 23, Iss , Pp 101505- (2023)

Federated learning Explainable AI Rule-based systems Linguistic fuzzy models Computer software QA76.75-76.765
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7

Explain and Monitor Deep Learning Models for Computer Vision using Obz AI
Chung, Neo Christopher ; Binda, Jakub
Proceedings of the 34th ACM International Conference on Information and Knowledge Management. :6624-6628

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8

A 2-level meta-heuristic aware adaptive watershed technique based optimized convolutional deep neural network for lung cancer segmentation and classification using explainable AI
Aelgani, Vivekanand ; Gupta, Suneet Kumar ; Narayana, V.A.
In Biomedical Signal Processing and Control May 2025 103

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9

An explainable AI framework for robust and transparent data-driven wind turbine power curve models
Letzgus, Simon ; Müller, Klaus-Robert
In Energy and AI January 2024 15

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10

Inclusion–Exclusion Integral Neural Networks: A Framework for Explainable AI with Non-Additive Measures.
Fukushima, Yoshihiro ; Fujimoto, Katsushige ; James, Simon ; et al.
Journal of Advanced Computational Intelligence & Intelligent Informatics. Nov2025, Vol. 29 Issue 6, p1541-1551. 11p.

FUZZY measure theory ARTIFICIAL intelligence OPEN source software PYTHON programming langu... MACHINE learning
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11

Application of explainable artificial intelligence in the identification of Squamous Cell Carcinoma biomarkers
Meena, Jaishree ; Hasija, Yasha
In Computers in Biology and Medicine July 2022 146

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12

Explainable AI and Interpretable Machine Learning: A Case Study in Perspective
Vishwarupe, Varad ; Joshi, Prachi M. ; Mathias, Nicole ; et al.
In Procedia Computer Science 2022 204:869-876

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13

Explainable AI with Python
Antonio Di Cecco ; Leonida Gianfagna ; Antonio Di Cecco ; et al.

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14

Income Level Estimation with Light-GBM: Understanding Model Decisions with Explainable AI Techn iques Shap and Lime
Ozkurt, Cem ; Garri, Fatmir ; Yahyaoglu, Bilal Emre ; et al.
Artificial Intelligence in Applied Sciences. July, 2025, Vol. 1 Issue 1, p7, 6 p.

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15

Investigation of Recognition Areas by Explainable Artificial Intelligence for Colonoscopy Images of Irritable Bowel Syndrome.
Mihara, Hiroshi ; Kuraishi, Shun ; Fujinami, Haruka ; et al.
Digestion. 2025, Vol. 106 Issue 6, p495-501. 7p.

COLONOSCOPY ARTIFICIAL intelligence PATHOLOGICAL physiology IRRITABLE colon IMAGE analysis GASTROENTEROLOGY …
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16

Explainable AI with Python
Leonida Gianfagna ; Antonio Di Cecco ; Leonida Gianfagna ; et al.

Artificial intelligence Machine learning Python (Computer program... Neural networks (Compute...
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17

Breast cancer diagnosis from histopathological images and molecular signatures by fusing features with an explainable AI-based residual tabular network model.
Jaikumar, S. Sam ; Praveena, S. Mary
Journal of Computer-Aided Molecular Design. 11/25/2025, Vol. 40 Issue 1, p1-21. 21p.

BREAST cancer DIAGNOSIS MACHINE learning HISTOPATHOLOGY BIOMARKERS ARTIFICIAL intelligence
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19

Practical Machine Learning
Nyamawe, Ally S. ; Mjahidi, Mohamedi M. ; Nnko, Noe E. ; et al.

Ethics pre-processing data collection hyperparameter optimizat... data cleaning programming …
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20

GeoXCP: uncertainty quantification of spatial explanations in explainable AI.
Lou, Xiayin ; Luo, Peng ; Li, Ziqi ; et al.
International Journal of Geographical Information Science. Oct2025, p1-31. 31p. 13 Illustrations.

GEOSPATIAL data STOCHASTIC models HUMAN geography
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