Implementing ResNet-18 and U-Net architectures for fine-grained image classification and semantic segmentation.
Forecasting single-day and multi-day retail demand with temporal features and neural-network models.
Implementing LSTM and Transformer models for character-level text generation and comparing sequence lengths.
Forecasting nitrogen-dioxide concentration with an Akaike-weighted ensemble of harmonic, autoregressive, and ARMA models.
A hierarchical Bayesian analysis of global happiness using country, continent, GDP, and life-expectancy data.
Extending SiamFC into a long-term tracker and evaluating confidence thresholds with precision, recall, and F-score.
Comparing kernel ridge regression and support-vector regression with nested cross-validation.
Exploring motion models, Kalman filtering, and particle filtering for robust visual object tracking.
Implementing neural networks for classification and regression, with configurable regularization and activation functions.
Implementing, improving, tuning, and evaluating a correlation-filter visual tracker on the VOT dataset.