6 citations · 8 across the 4 of their papers we have counts for
4 papers
Vectorized Bayesian Inference for Latent Dirichlet-Tree Allocation
Zheng Wang, Nizar Bouguila
Latent Dirichlet Allocation (LDA) is a foundational model for discovering latent thematic structure in discrete data, but its Dirichlet prior cannot represent the rich correlations…
Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness
Zahra Golpayegani, Patrick St-Amant, Nizar Bouguila
Deep learning models can perform well when evaluated on images from the same distribution as the training set. However, applying small perturbations in the forms of noise, artifact…
Automatic counting of planting microsites via local visual detection and global count estimation
Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila
In forest industry, mechanical site preparation by mounding is widely used prior to planting operations. One of the main problems when planning planting operations is the difficult…
Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction
Majid Nikougoftar Nategh, Ahmed Zgaren, Wassim Bouachir +1
Site preparation by mounding is a commonly used silvicultural treatment that improves tree growth conditions by mechanically creating planting microsites called mounds. Following s…