Deep learning techniques

The research project deals with two different types of data for two separate analysis. The first analysis deals with normalised RNA-seq breast cancer data where machine learning techniques are used to classify and identify the biomarker of cancer. Second analysis deals with raw DNA methylated leukemia samples to determine the mutations.

102p runthenight04 02-02-2023 8 4   Download

The objectives are as follows a compact presentation of human actions: Joints in the skeleton model play different roles in each action. The first objective is to find action representations that are efficient for action recognition.

130p caphesuadathemchanh 29-03-2022 20 6   Download

Research Aims: The thesis aims to develop deep neural networks for analyzing security data. These techniques improve the accuracy of machine learning-based models applied in NAD. Therefore, the thesis attempts to address the above challenging problems in NAD using models and techniques in deep neural networks. Specifically, the following problems are studied.

128p armyofthedead 23-06-2021 15 3   Download

Furthermore, experiments on the task of RE proved that data representation is one of the most influential factors to the model’s performance but still has many limitations. We propose a compositional embedding that combines several dominant linguistic as well as architectural features and dependency tree normalization techniques for generating rich representations for both words and dependency relations in the SDP

82p tamynhan1 13-06-2020 18 3   Download