Browsing by Subject Machine learning
Showing results 1 to 14 of 14
Issue Date | Title | Author(s) |
2020 | Accurate, Energy-efficient, and Secure Machine Learning Models: Applications to Smart Healthcare | AKMANDOR, AYTEN OZGE |
2018 | Analysis of gas-particle flows through multi-scale simulations | Gu, Yile |
2019 | Bayesian Techniques for Finding and Characterizing Variable Stars: Application to the Hungarian-made Automated Telescope Surveys | Hoffman, John |
2022 | Connectivity inference for petascale neural circuit reconstruction | Turner, Nicholas L |
26-Jul-2022 | Data from "Liquid-liquid transition in water from first principles" | Gartner, Thomas |
2021 | Energy-Efficient Implementation of Machine Learning Algorithms | Lu, Jie (Lucy) |
2022 | Machine Learning-based Efficient and Generalizable Cybersecurity Frameworks | Saha, Tanujay |
2020 | Mathematical Theory of Neural Network Models for Machine Learning | Ma, Chao |
2019 | Noninvasive glucose monitoring: New opportunities opened by mid-infrared quantum cascade laser spectroscopy | Werth, Alexandra Margot |
2018 | Privacy-Preserving Machine Learning via Data Compression & Differential Privacy | Chanyaswad, Thee |
2021 | Risk Budgeting Portfolios Under a Modern Optimization and Machine Learning Lens | Uysal, Sinem |
2023 | Survival Analysis in Distributed and High-Dimensional Environments and Theory of Cross-Validation | Bayle, Pierre |
2015 | Synthetic Diversification, Smart Randomization, and Commodity Indexing | Goer, Maximilian Andreas Hubertus |
2022 | Towards Understanding Self-Supervised Representation Learning | Saunshi, Nikunj Umesh |