Search Results - "model interpretability"

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  1. 1
    Incorporating Machine Learning into Agile Scrum for Predictive Defect Management

    Incorporating Machine Learning into Agile Scrum for Predictive Defect Management

    Goyal, Abhishek, Gupta, Sandeep

    2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)

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  2. 2
    Advancement in Explainable AI: Bringing Transparency and Interpretability to Machine Learning Models for Use in High-Stakes Decisions

    Advancement in Explainable AI: Bringing Transparency and Interpretability to Machine Learning Models for Use in High-Stakes Decisions

    David, Rajesh, Shankar, Harini, Kura, Prashanth, Kowtarapu, Kiran, S, Uma Maheswari, Karkuzhali, S.

    2025 International Conference on Emerging Smart Computing and Informatics (ESCI)

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  3. 3
    Understanding the Student Confidence in Viva Responses Through Audio Analysis

    Understanding the Student Confidence in Viva Responses Through Audio Analysis

    Reddy, Kunuthuru Navya, Keerthi, Medikonda, Sree, R Nithya, Pati, Peeta Basa

    2025 3rd International Conference on Integrated Circuits and Communication Systems (ICICACS)

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  4. 4
    Improving Intelligent Fault Diagnosis With Semantic Segmentation for Industrial Applications

    Improving Intelligent Fault Diagnosis With Semantic Segmentation for Industrial Applications

    Park, Byeong Jun, Han, Dong Seog

    2025 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)

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  5. 5
    Advances in Type II Diabetes Prediction: A Comprehensive Review of Machine Learning Techniques

    Advances in Type II Diabetes Prediction: A Comprehensive Review of Machine Learning Techniques

    Kushwah, Virendra Singh, Krishnan, Sivaneasan Bala, Upreti, Kamal, Kumar, Manoj, Kshirsagar, Pravin R., Singh, Vinai K.

    2025 International Conference on Intelligent Control, Computing and Communications (IC3)

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  6. 6
    Optimizing Pumpkin Seed Variety Classification: A Logistic Regression Approach to Morphological Analysis

    Optimizing Pumpkin Seed Variety Classification: A Logistic Regression Approach to Morphological Analysis

    Chythanya, Kanegonda Ravi, Bhuria, Ruchika

    2025 International Conference on Emerging Systems and Intelligent Computing (ESIC)

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  7. 7
    A Comprehensive Survey on Enhancing Digital Twin Security Systems with Explainable AI Techniques

    A Comprehensive Survey on Enhancing Digital Twin Security Systems with Explainable AI Techniques

    Lalithadevi, B., Krishnaveni, S.

    2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)

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  8. 8
    Transforming Healthcare Diagnostics: A Comprehensive Review of Convolutional Neural Networks in Medical Imaging and Disease Prediction

    Transforming Healthcare Diagnostics: A Comprehensive Review of Convolutional Neural Networks in Medical Imaging and Disease Prediction

    Durgaraju, Sairam, Vel, Deepan Vishal Thulasi, Madathala, Harikrishna

    2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI)

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  9. 9
    Don't Forget Too Much: Towards Machine Unlearning on Feature Level

    Don't Forget Too Much: Towards Machine Unlearning on Feature Level

    Xu, H., Zhu, T., Zhou, W., Zhao, W.

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  10. 10
    Explainable Climate-Based Time Series Modeling for Predicting Chemical Compositions in Tobacco Leaves

    Explainable Climate-Based Time Series Modeling for Predicting Chemical Compositions in Tobacco Leaves

    He, H., Zhang, Y., Li, B., Tao, C.

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  11. 11
    LWCDNet: An Interpretable Learning Weighted Convolutional Dictionary Network for Metal Artifact Reduction in CT Images

    LWCDNet: An Interpretable Learning Weighted Convolutional Dictionary Network for Metal Artifact Reduction in CT Images

    Liu, J., Jin, T., Ye, Z., Wu, F., Wang, K., Wu, Z., Zhang, Y., Hu, D., Chen, Y.

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  12. 12
    Security Enhancement in AAV Swarms: A Case Study Using Federated Learning and SHAP Analysis

    Security Enhancement in AAV Swarms: A Case Study Using Federated Learning and SHAP Analysis

    Halli Sudhakara, S., Haghnegahdar, L.

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  13. 13
    SLInterpreter: An Exploratory and Iterative Human-AI Collaborative System for GNN-Based Synthetic Lethal Prediction

    SLInterpreter: An Exploratory and Iterative Human-AI Collaborative System for GNN-Based Synthetic Lethal Prediction

    Jiang, H., Shi, S., Zhang, S., Zheng, J., Li, Q.

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  14. 14
    An Integrated Approach to Address Class Imbalance in Medical Text Classification via Deep Learning and Specialized Embeddings

    An Integrated Approach to Address Class Imbalance in Medical Text Classification via Deep Learning and Specialized Embeddings

    Zhu, Yihe, Sang, Yuan

    2024 4th International Conference on Electronic Information Engineering and Computer Communication (EIECC)

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  15. 15
    A Comprehensive Evaluation for Coronary Heart Disease Prediction Using Deep Learning Models

    A Comprehensive Evaluation for Coronary Heart Disease Prediction Using Deep Learning Models

    Prakash, Jyothi, Singh, Sukanya, Balamurugan, G.

    2024 IEEE 16th International Conference on Computational Intelligence and Communication Networks (CICN)

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  16. 16
    Opening the Black Box: Explainable AI Insights into Obesity Prediction Using SMOTE-Balanced Stacking Ensembles

    Opening the Black Box: Explainable AI Insights into Obesity Prediction Using SMOTE-Balanced Stacking Ensembles

    Tiwari, Raj Gaurang, Vimal, Vrince, Agarwal, Ambuj Kumar

    2024 IEEE 16th International Conference on Computational Intelligence and Communication Networks (CICN)

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  17. 17
    A Novel Methodology to Enhance Explainability in AI Systems for Trust and Transparency Through Brain MRI Data

    A Novel Methodology to Enhance Explainability in AI Systems for Trust and Transparency Through Brain MRI Data

    Upadhyay, Shivanshu, Bera, Udit Narayan, Khaparkar, Shailesh, Bhatt, Anushka

    2024 International Conference on Emerging Technologies and Innovation for Sustainability (EmergIN)

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  18. 18
    Pretrained Large Models in Telecommunications: A Survey of Technologies and Applications

    Pretrained Large Models in Telecommunications: A Survey of Technologies and Applications

    Li, Dun, Wang, Huan, Lin, Ruiguan, Li, YanFu, Ye, Jiantao, Miao, Dandan, Lin, Ke, Zhang, Haozhe

    2024 IEEE International Conference on Progress in Informatics and Computing (PIC)

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  19. 19
    Development of an Explainable AI (XAI) system for the interpretation of ViT in the diagnosis of medical images

    Development of an Explainable AI (XAI) system for the interpretation of ViT in the diagnosis of medical images

    Hachi, Soufiane, Sabri, Abdelouahed

    2024 3rd International Conference on Embedded Systems and Artificial Intelligence (ESAI)

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  20. 20
    Adversarial Explanations for Informed Civilian and Environmental Protection

    Adversarial Explanations for Informed Civilian and Environmental Protection

    Anastasiou, Theodora, Pastellas, Ioannis, Karagiorgou, Sophia

    2024 IEEE International Conference on Big Data (BigData)

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