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IEEE1d
Network Intrusion Detection using Hybrid Machine Learning
A hybrid machine learning algorithm used to combine two different machine learning algorithms, with the purpose of exploiting their advantages to mend the loopholes in each original design and so to ...
InfoWorld2d
AWS adds incremental and distributed training to Clean Rooms for scalable ML collaboration
The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning ...
Novel model optimization algorithm improves robustness of near-infrared spectroscopy models
A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...
AI Tools & Skills Every Data Engineer Should Know
Discover the top AI tools and essential skills every data engineer needs in 2025 to optimize data pipelines, enable ...
IEEE9d
A Tabular Variational Auto Encoder-Based Hybrid Model for Imbalanced Data Classification With Feature Selection - IEEE Xplore
Cancer is the deadliest disease in humankind. Ovarian Cancer (OC) is important among female-specific cancers. Epithelial Ovarian Cancer (EOC) is the most commonly occurring subtype of OC. The disease ...
C&EN13d
Small Data Machine Learning: Classification and Prediction of Poly(ethylene terephthalate) Stabilizers Using Molecular Descriptors
Experimental data from a patent were analyzed to learn about the small molecule additives that were most effective in mitigating the degradation of polyethylene terephthalate. Two sets of molecular ...
GitHub19d
GitHub - hjbahng/cyclereward: CycleReward is a reward model trained on cycle consistency preferences to measure image-text alignment.
Use CycleReward to measure the alignment between an image and a caption (higher is better). Download the DCI dataset. While we use the DCI dataset as an example, you can use any unpaired text or image ...