4 citations · 7 across the 9 of their papers we have counts for
9 papers
SMILE: Bridging Continuous Optimization and Discrete Symbolic Recovery
Mansooreh Montazerin, Antonio Ortega, Ajitesh Srivastava
Symbolic regression (SR) discovers closed-form mathematical expressions from data, offering interpretability beyond black-box models. Existing methods suffer from slow convergence…
Sparse Interpretable Deep Learning with LIES Networks for Symbolic Regression
Mansooreh Montazerin, Majd Al Aawar, Antonio Ortega +1
Symbolic regression (SR) aims to discover closed-form mathematical expressions that accurately describe data, offering interpretability and analytical insight beyond standard black…
SWAT-NN: Simultaneous Weights and Architecture Training for Neural Networks in a Latent Space
Zitong Huang, Mansooreh Montazerin, Ajitesh Srivastava
Designing neural networks typically relies on manual trial and error or a neural architecture search (NAS) followed by weight training. The former is time-consuming and labor-inten…
Simultaneous Weight and Architecture Optimization for Neural Networks
Zitong Huang, Mansooreh Montazerin, Ajitesh Srivastava
Neural networks are trained by choosing an architecture and training the parameters. The choice of architecture is often by trial and error or with Neural Architecture Search (NAS)…
Global Prediction of COVID-19 Variant Emergence Using Dynamics-Informed Graph Neural Networks
Majd Al Aawar, Srikar Mutnuri, Mansooreh Montazerin +1
During the COVID-19 pandemic, a major driver of new surges has been the emergence of new variants. When a new variant emerges in one or more countries, other nations monitor its sp…
Transformer-based Hand Gesture Recognition via High-Density EMG Signals: From Instantaneous Recognition to Fusion of Motor Unit Spike Trains
Mansooreh Montazerin, Elahe Rahimian, Farnoosh Naderkhani +3
Designing efficient and labor-saving prosthetic hands requires powerful hand gesture recognition algorithms that can achieve high accuracy with limited complexity and latency. In t…
HYDRA-HGR: A Hybrid Transformer-based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information
Mansooreh Montazerin, Elahe Rahimian, Farnoosh Naderkhani +3
Development of advance surface Electromyogram (sEMG)-based Human-Machine Interface (HMI) systems is of paramount importance to pave the way towards emergence of futuristic Cyber-Ph…
ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG Signals
Mansooreh Montazerin, Soheil Zabihi, Elahe Rahimian +2
Recently, there has been a surge of significant interest on application of Deep Learning (DL) models to autonomously perform hand gesture recognition using surface Electromyogram (…
Livelayer: A Semi-Automatic Software Program for Segmentation of Layers and Diabetic Macular Edema in Optical Coherence Tomography Images
Mansooreh Montazerin, Zahra Sajjadifar, Elias Khalili Pour +7
Given the capacity of Optical Coherence Tomography (OCT) imaging to display symptoms of a wide variety of eye diseases and neurological disorders, the need for OCT image segmentati…