Sökresultat - "Interpretable machine learning"

Provenance Graph Kernel

Kohan Marzagao, D., Huynh, T.D., Helal, A., Baccas, S., Moreau, L.

Self-Supervised and Interpretable Anomaly Detection Using Network Transformers

Marino, D.L., Wickramasinghe, C.S., Rieger, C., Manic, M.

Approaching Principles of XAI: A Systematization

Ronge, R., Bauer, B., Rathgeber, B.

Residual Temporal Convolutional Network With Dual Attention Mechanism for Multilead-Time Interpretable Runoff Forecasting

Sheng, Z., Cao, Y., Yang, Y., Feng, Z., Shi, K., Huang, T., Wen, S.

ConcVAE: Conceptual Representation Learning

Togo, R., Nakagawa, N., Ogawa, T., Haseyama, M.

Decoding the Plastic Patch: Exploring the Global Microplastic Distribution in the Surface Layers of Marine Regions with Interpretable Machine Learning

Zhang, Linjie^aff1, Wang, Wenyue^aff1, Wang, Feng^aff1, Wu, Dong^aff1, Su, Yinglong^aff1, Zhan, Min^aff1, Li, Kaiyi^aff1, Shi, Huahong^aff2, Xie, Bing^{aff1, aff3}

Interpretable Machine Learning for Evaluating Nanogenerators’ Structural Design

Han, Chi^aff1, Jin, Mingyu^aff2, Dong, Fuying^aff1, Xu, Pengchong^aff3, Jiang, Xinnian^aff1, Cai, Sheling T.^{aff1, aff4}, Jiang, Yuanwen^aff5, Zhang, Yongfeng^aff2, Fang, Yin^aff6, Niu, Simiao^aff1

Satellite Remote Sensing-Implemented Nontargeted Screening of Emerging Contaminant Fingerprints in a River-to-Ocean Continuum through Interpretable Machine Learning: The Pivotal Intermediary Role of Dissolved Organic Matter

Zhang, Chao^{aff1, aff2, aff3}, Zhu, Junyu^{aff1, aff2}, Mai, Wenjie^{aff1, aff2}, Chen, Zhenguo^{aff1, aff2}, Xie, Yue^{aff1, aff2}, Fu, Shuna^aff4, Xia, Di^aff5, Cai, Chun^{aff1, aff2}, Zheng, Wanbing^{aff1, aff2}, Liu, Jinxin^{aff1, aff2}, Yang, Lianmiao^{aff1, aff2}, Zhang, Zhe^aff6, Huang, Mingzhi^{aff1, aff2}, Wu, Fengchang^aff7

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Top-Down Attention-Based Mechanisms for Interpretable Autonomous Driving

Fu, Z., Jiang, K., Xu, Y., Wang, Y., Wen, T., Gao, H., Zhong, Z., Yang, D.

Comprehensive Analysis on Machine Learning Approaches for Interpretable and Stable Soft Sensors

Cao, L., Wang, J., Su, J., Luo, Y., Cao, Y., Braatz, R.D., Gopaluni, B.

Detection of Hepatocellular Carcinoma Using Optimized miRNA Combinations and Interpretable Machine Learning Models

Long, Z., Zhang, L.

Interpretable Machine Learning Models for Predicting Cesarean Delivery in Class III Obese Cohorts

Bennett, R., Pierce, S.L., Razzaghi, T.

Interpretable Machine Learning Models for PISA Results in Mathematics

Gomez-Talal, I., Bote-Curiel, L., Luis Rojo-Alvarez, J.

Plant-Physics-Guided Neural Network Control for Permanent Magnet Synchronous Motors

Yin, Z., Chen, X., Shen, Y., Su, X., Xiao, D., Abel, D., Zhao, H.

Predicting ICU Admissions using Interpretable Machine Learning

Elbatanouny, Hagar, Tawfik, Hissam, Khater, Tarek, Turky, Ayad, Hussain, Abir

2024 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)

Interpretable Machine Learning for Complex Human Activity Recognition: A Voting Classifier Approach Using AdaBoost and Random Forest

Azmi, Muhammad Sufyian Mohd, Zabil, Mohd Hazli Mohamed, Cheng, Lim Kok

2024 IEEE International Conference on Computing (ICOCO)

Saliency-based Explainable Artificial Intelligence (XAI) for Interpreting U-Net Semantic Segmentation of Synthetic Liquid Spray Images

Chin, Teck Wai, Lau, Sian Lun, Wong, Richard T. K., Bravo, Luis, Koneru, Rahul Babu, Khare, Prashant

2024 IEEE International Conference on Computing (ICOCO)

Explainable AI in Biometrics: A Novel Framework for Facial Recognition Interpretation

Agrawal, Ansh, Kaur, Kirandeep, Kaur, Harkeerat

2024 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom)

CPDT: A Novel Cluster-based Paired Decision Tree for Identifying Biomedical Entity Interactions

Zou, Jiayu, Wu, Lianlian, Lin, Weiping, Liu, Kunhong, Xu, Yong, He, Song, Bo, Xiaochen

2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)