Multilayer Concept Drift Detection Method Based on Model Explainability by Haolan Zhang, Xinyi Chen, Min Hu, Vijayan Sugumaran

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A Micro Level Study Explaining Happiness Level in Pakistan by Ramsha Munir, Ayesha Nazuk

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Predicting cardiovascular risk with hybrid ensemble learning and explainable AI by Pooja Shah, Madhu Shukla, Neel H. Dholakia, Himanshu Gupta

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Explainable Aspect-Based Sentiment Analysis Using Transformer Models by Isidoros Perikos, Athanasios Diamantopoulos

Subjects: “…explainability…”
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Explainable machine learning for predicting lung metastasis of colorectal cancer by Zhentian Guo, Zongming Zhang, Limin Liu, Yue Zhao, Zhuo Liu, Chong Zhang, Hui Qi, Jinqiu Feng, Peijie Yao

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Correction: Explaining predictive factors in patient pathways using autoencoders. by Hugo De Oliveira, Martin Prodel, Ludovic Lamarsalle, Vincent Augusto, Xiaolan Xie

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Towards an Explainable Artificial Intelligence approach for smart grid systems by Mahmoud Alfayan, Hani Hagras

“…This paper proposes a novel system which employs Explainable Artificial Intelligence (XAI) to enhance the operational efficiency of smart grids by predicting energy consumption and optimising resource allocation accordingly. …”
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P-TAME: Explain Any Image Classifier With Trained Perturbations by Mariano V. Ntrougkas, Vasileios Mezaris, Ioannis Patras

Subjects: “…Explainable AI…”
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Explainable AI and machine learning for robust cybersecurity in smart cities by Shruti Gupta, Jyotsna Singh, Rashmi Agrawal, Usha Batra

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An Explainable Deep Semantic Coding for Binary-Classification- Oriented Communication by Shuhui Wang, Zuxing Li, Xin Huang, Qi Jiang

“…To address these limitations, this paper proposes a novel explainable deep semantic coding framework, considering a binary mixed source and a classification task at the receiver. …”
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Explainable Graph Neural Networks for Power Grid Fault Detection by Richard Bosso, Corey Chang, Mahdi Zarif, Yufei Tang

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An Explainable Hybrid CNN–Transformer Architecture for Visual Malware Classification by Mohammed Alshomrani, Aiiad Albeshri, Abdulaziz A. Alsulami, Badraddin Alturki

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Explaining Crisis Situations via a Cognitive Model of Attention by Georgi Tsochev, Teodor Ukov

“…An application of the approach is presented to explain decision making and metacognition as a solution for ineffective cognitive biases during a crisis situation. …”
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Explainable correlation-based anomaly detection for Industrial Control Systems by Ermiyas Birihanu, Imre Lendák

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Explaining international differences in excess mortality due to Covid-19 by Donya Brown, Martina Dattilo, James Rockey

“…One problem researchers face in identifying which of these explanations are best able to explain cross-country variation is that the number of these explanations is too large to be usefully included in a single regression model. …”
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Multiparameter Causal Models for the Estimation and Explainability of Wildfire Burned Area by Amir Mustofa Irawan, Merce Vall-Llossera, Carlos Lopez-Martinez, Adriano Camps, Gerard Portal, Alberto Alonso-Gonzalez, Miriam Pablos

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Synthesizing Explainability Across Multiple ML Models for Structured Data by Emir Veledar, Lili Zhou, Omar Veledar, Hannah Gardener, Carolina M. Gutierrez, Jose G. Romano, Tatjana Rundek

Subjects: “…explainable machine learning…”
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The Effectiveness of the Learning Module Cooperative Learning Student Facilitator and Explaining by Ramadhani Rahmatullah, Syahril Syahril, Rijal Abdullah

Subjects: “…student facilitator and Explaining…”
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Explainable Self-Supervised Dynamic Neuroimaging Using Time Reversal by Zafar Iqbal, Md. Mahfuzur Rahman, Usman Mahmood, Qasim Zia, Zening Fu, Vince D. Calhoun, Sergey Plis

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Explainable models for predicting crab weight based on genetic programming by Tao Shi, Lingcheng Meng, Limiao Deng, Juan Li

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