Search Results - "explainable machine learning"

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  1. 1
    Phoneme Classification in Imagined Speech Using Explainable Machine Learning

    Phoneme Classification in Imagined Speech Using Explainable Machine Learning

    Kim, Sejin, Kang, Hyunwook, Jeong, Ji-Hoon, Lee, Minji

    2025 13th International Conference on Brain-Computer Interface (BCI)

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  2. 2
    Evaluation of Machine Learning Models in Student Academic Performance Prediction

    Evaluation of Machine Learning Models in Student Academic Performance Prediction

    Sandeepa, A. G. R., Mohottala, Sanka

    2025 5th International Conference on Advanced Research in Computing (ICARC)

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  3. 3
    Multiexpression Symbolic Regression and Its Circuit Design Case

    Multiexpression Symbolic Regression and Its Circuit Design Case

    Zhang, Y., Li, X., Hu, W., Yen, G.G.

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  4. 4
    Explanation-Guided Backdoor Attacks Against Model-Agnostic RF Fingerprinting Systems

    Explanation-Guided Backdoor Attacks Against Model-Agnostic RF Fingerprinting Systems

    Zhao, T., Zhang, J., Mao, S., Wang, X.

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  5. 5
    Explainable Machine Learning for Radio Environment Mapping: An Intelligent System for Electric Field Strength Monitoring

    Explainable Machine Learning for Radio Environment Mapping: An Intelligent System for Electric Field Strength Monitoring

    Kiouvrekis, Y., Panagiotakopoulos, T., Nousi, E., Filippopoulos, I., Ploussi, A., Spyratou, E., Efstathopoulos, E.P.

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  6. 6
    Explainable AI for Unraveling the Significance of Visual Cues in High Stakes Deception Detection

    Explainable AI for Unraveling the Significance of Visual Cues in High Stakes Deception Detection

    Salah, S., Elbatanouny, H., Sobuh, A., Almajali, E., Khan, W., Alaskar, H., Binbusayyis, A., Hassan, T., Yousaf, J., Hussain, A.

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  7. 7
    DimBridge: Interactive Explanation of Visual Patterns in Dimensionality Reductions with Predicate Logic

    DimBridge: Interactive Explanation of Visual Patterns in Dimensionality Reductions with Predicate Logic

    Montambault, B., Appleby, G., Rogers, J., Brumar, C.D., Li, M., Chang, R.

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  8. 8
    Interpretable Severity Scoring of Pelvic Trauma Through Automated Fracture Detection and Bayesian Inference

    Interpretable Severity Scoring of Pelvic Trauma Through Automated Fracture Detection and Bayesian Inference

    Chen, H., Dreizin, D., Gomez, C., Zapaishchykova, A., Unberath, M.

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  9. 9
    An Explainable Artificial Intelligence Model for the Classification of Breast Cancer

    An Explainable Artificial Intelligence Model for the Classification of Breast Cancer

    Khater, T., Hussain, A., Bendardaf, R., Talaat, I.M., Tawfik, H., Ansari, S., Mahmoud, S.

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  10. 10
    Explainable AutoML (xAutoML) with Adaptive Modeling for Yield Enhancement in Semiconductor Smart Manufacturing

    Explainable AutoML (xAutoML) with Adaptive Modeling for Yield Enhancement in Semiconductor Smart Manufacturing

    Zhai, Weihong, Han, Qing, Chen, Lisheng, Shi, Xiupeng

    2024 2nd International Conference on Artificial Intelligence and Automation Control (AIAC)

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  11. 11
    Privacy-Preserving Federated Interpretability

    Privacy-Preserving Federated Interpretability

    Abtahi, Azra, Aminifar, Amin, Aminifar, Amir

    2024 IEEE International Conference on Big Data (BigData)

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  12. 12
    Software Development Effort Estimation Using Regression Models Delve with Explainable Machine Learning (XAI)

    Software Development Effort Estimation Using Regression Models Delve with Explainable Machine Learning (XAI)

    Mandal, Rahul Kumar, Singh, Jagannath, Ghosh, Debolina

    2024 OITS International Conference on Information Technology (OCIT)

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  13. 13
    Systematic literature review on malware detection using Explainable Machine Learning (XAI)

    Systematic literature review on malware detection using Explainable Machine Learning (XAI)

    Heryana, Ana, Haryanto, Agus, Suhardi

    2024 International Conference on Information Technology Systems and Innovation (ICITSI)

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  14. 14
    Continuous Exact Explanations of Neural Networks

    Continuous Exact Explanations of Neural Networks

    Dethise, Alice, Canini, Marco

    2024 IEEE International Conference on Data Mining (ICDM)

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  15. 15
    Analyzing the Interpretability of Machine Learning Prediction on Student Performance Using SHapley Additive exPlanations

    Analyzing the Interpretability of Machine Learning Prediction on Student Performance Using SHapley Additive exPlanations

    Choi, Wan Chong, Lam, Chan-Tong, Mendes, Antonio Jose

    2024 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)

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  16. 16
    Analysis of Demographic and Comorbidity Data of Bangladeshi Female Dental Patients Towards Automatic Prediction of Comorbidities Risk

    Analysis of Demographic and Comorbidity Data of Bangladeshi Female Dental Patients Towards Automatic Prediction of Comorbidities Risk

    Saima, Umme, Hossain, A. B. M. Aowlad, Das, Nitish Krishna

    2024 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)

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  17. 17
    Pruning-Based Optimization of Model Distillation Algorithm Using Explainable Machine Learning Methods

    Pruning-Based Optimization of Model Distillation Algorithm Using Explainable Machine Learning Methods

    Shen, Bobing, Zhang, Haibo

    2024 11th International Conference on Dependable Systems and Their Applications (DSA)

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  18. 18
    Knowledge-Aware Multimodal Explainable Fake News Detection

    Knowledge-Aware Multimodal Explainable Fake News Detection

    Liu, Xin, Dai, Lican, Cao, Kaichen, Song, Dan, Lu, Liangyu, Wang, Shengze, Liu, Haibo

    2024 5th International Conference on Computer, Big Data and Artificial Intelligence (ICCBD+AI)

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  19. 19
    Explainable Machine Learning-Based Layered CSI Feedback in Massive MIMO System

    Explainable Machine Learning-Based Layered CSI Feedback in Massive MIMO System

    Li, Gang, Han, Shuangfeng, Chen, Zhuo, Li, Yupeng, Wen, Zirui, Wang, Qixing

    2024 16th International Conference on Wireless Communications and Signal Processing (WCSP)

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  20. 20
    Exploring Explainable Machine Learning in Early Liver Disease Detection: Insights from Fatty Liver and Hepatitis B

    Exploring Explainable Machine Learning in Early Liver Disease Detection: Insights from Fatty Liver and Hepatitis B

    Ali, Ayman, Ashraf, Ahmed, Rahouma, Kamel

    2024 6th Novel Intelligent and Leading Emerging Sciences Conference (NILES)

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