5 papers
Domain-Aware Pruning: Sparsity and Domain Generalization via Regularized Probabilistic Masking
Parham Sazdar, Mostafa Tavassolipour, Reshad Hosseini
Domain generalization (DG) and neural network pruning are conventionally treated as distinct objectives, targeting out-of-distribution (OOD) robustness and model efficiency, respec…
HiLWS: A Human-in-the-Loop Weak Supervision Framework for Curating Clinical and Home Video Data for Neurological Assessment
Atefeh Irani, Maryam S. Mirian, Alex Lassooij +3
Video-based assessment of motor symptoms in conditions such as Parkinson's disease (PD) offers a scalable alternative to in-clinic evaluations, but home-recorded videos introduce s…
Feature-to-Image Data Augmentation: Improving Model Feature Extraction with Cluster-Guided Synthetic Samples
Yasaman Haghbin, Hadi Moradi, Reshad Hosseini
One of the growing trends in machine learning is the use of data generation techniques, since the performance of machine learning models is dependent on the quantity of the trainin…
Out-of-distribution detection using normalizing flows on the data manifold
Seyedeh Fatemeh Razavi, Mohammad Mahdi Mehmanchi, Reshad Hosseini +1
Using the intuition that out-of-distribution data have lower likelihoods, a common approach for out-of-distribution detection involves estimating the underlying data distribution.…
Water Flow Detection Device Based on Sound Data Analysis and Machine Learning to Detect Water Leakage
Hossein Pourmehrani, Reshad Hosseini, Hadi Moradi
In this paper, we introduce a novel mechanism that uses machine learning techniques to detect water leaks in pipes. The proposed simple and low-cost mechanism is designed that can…