Data Publikasi Penelitian Tahun 2023-2024

    1. AutoCyclic: Deep Learning Optimizer for Time Series Data Prediction https://ieeexplore.ieee.org/abstract/document/10410839
    2. Detection of AI-Generated Images From Various Generators Using Gated Expert Convolutional Neural Network https://ieeexplore.ieee.org/document/10696938
    3. Mutual Information for Learning Context Representation on RNN-Attention Based Models in Open Domain Generative Chatbot https://doi.org/10.1145/3626641.3626926
    4. MAMI: Multi-Attentional Mutual-Information for Long Sequence Neuron Captioning https://doi.org/10.1145/3626641.3626931
    5. Implementation of Domain Adaptation for Keyword Determination of Scientific Articles Based on Multilabel BERT https://dl.acm.org/doi/10.1145/3626641.3626927
    6. SparseSwin: Swin transformer with sparse transformer block https://doi.org/10.1016/j.neucom.2024.127433
    7. Deep Learning Approach for High Recall Pneumonia Classification with Swin Transformer and L2 Regularization https://doi.org/10.1145/3626641.3626670
    8. Investigating ResNet Variants in U-Net to Obtain High-Quality Depth Maps in Indoor Scenes
      https://doi.org/10.1145/3626641.3626669
    9. Variational Mode Decomposition and Linear Embeddings are What You Need For Time-Series Forecasting https://arxiv.org/pdf/2408.16122
    10. Tabular Data Classification and Regression: XGBoost or Deep Learning With Retrieval-Augmented Generation https://ieeexplore.ieee.org/abstract/document/10802905
    11. Engagement Classification in E-Learning Environments Through Eye Features Using Scaled Dot-Product Attention Convolutional Neural Network https://dl.acm.org/doi/10.1145/3626641.3626938 
    12. To be continue