MIT Open Access Articles: Recent submissions

Now showing items 49-51 of 52965

    • Hermes: Boosting the Performance of Machine-Learning-Based Intrusion Detection System through Geometric Feature Learning 

      Zhang, Chaoyu; Shi, Shanghao; Wang, Ning; Xu, Xiangxiang; Li, Shaoyu; e.a. (ACM|The Twenty-fifth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, 2024-10-14)
      Anomaly-Based Intrusion Detection Systems (IDSs) have been extensively researched for their ability to detect zero-day attacks. These systems establish a baseline of normal behavior using benign traffic data and flag ...

    • MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models 

      Thao, Phan Nguyen Minh; Dao, Cong-Tinh; Wu, Chenwei; Wang, Jian-Zhe; Liu, Shun; e.a. (ACM|Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024-10-21)
      Electronic health records (EHRs) are multimodal by nature, consisting of structured tabular features like lab tests and unstructured clinical notes. In real-life clinical practice, doctors use complementary multimodal EHR ...

    • Improvements to Quantum Interior Point Method for Linear Optimization 

      Mohammadisiahroudi, Mohammadhossein; Wu, Zeguan; Augustino, Brandon; Carr, Arielle; Terlaky, Tam?s (ACM, 2024-10-29)
      Quantum linear system algorithms (QLSA) have the potential to speed up Interior Point Methods (IPM). However, a major bottleneck is the inexactness of quantum Tomography to extract classical solutions from quantum states. ...