MicroNAS: An Automated Framework for Developing a Fall Detection System

10 April 2025

Seyed Mojtaba Mohasel

Papers citing "MicroNAS: An Automated Framework for Developing a Fall Detection System"

21 / 21 papers shown

Title
Personalized Control for Lower Limb Prosthesis Using Kolmogorov-Arnold Networks SeyedMojtaba Mohasel Alireza Afzal Aghaei Corey Pew 66 0 0 14 May 2025
Robust Support Vector Machines for Imbalanced and Noisy Data via Benders Decomposition Seyed Mojtaba Mohasel Hamidreza Koosha 87 2 0 19 Mar 2025
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge Matteo Risso Luca Bompani Francesco Conti Lorenzo Lamberti Yukai Chen Luca Benini Enrico Macii Massimo Poncino Daniele Jahier Pagliari 77 34 0 24 Jan 2023
Speeding up NAS with Adaptive Subset Selection Vishak Prasad Colin White P. Jain Sibasis Nayak Ganesh Ramakrishnan BDL 77 6 0 02 Nov 2022
Pruning has a disparate impact on model accuracy Cuong Tran Ferdinando Fioretto Jung-Eun Kim Rakshit Naidu 79 40 0 26 May 2022
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy Lucas Liebenwein Cenk Baykal Brandon Carter David K Gifford Daniela Rus AAML 55 73 0 04 Mar 2021
$μ$ NAS: Constrained Neural Architecture Search for Microcontrollers Edgar Liberis Łukasz Dudziak Nicholas D. Lane BDL 56 105 0 27 Oct 2020
AutoML to Date and Beyond: Challenges and Opportunities Shubhra (Santu) Karmaker Md. Mahadi Hassan Micah J. Smith Lei Xu Chengxiang Zhai K. Veeramachaneni 115 230 0 21 Oct 2020
MCUNet: Tiny Deep Learning on IoT Devices Ji Lin Wei-Ming Chen Chengyue Wu J. Cohn Chuang Gan Song Han 149 491 0 20 Jul 2020
Designing Network Design Spaces Ilija Radosavovic Raj Prateek Kosaraju Ross B. Girshick Kaiming He Piotr Dollár GNN 102 1,691 0 30 Mar 2020
Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools A. Truong Austin Walters Jeremy Goodsitt Keegan E. Hines Bayan Bruss R. Farivar 89 199 0 15 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 129 1,457 0 02 Aug 2019
On Network Design Spaces for Visual Recognition Ilija Radosavovic Justin Johnson Saining Xie Wan-Yen Lo Piotr Dollár 83 135 0 30 May 2019
Random Search and Reproducibility for Neural Architecture Search Liam Li Ameet Talwalkar OOD 78 725 0 20 Feb 2019
To prune, or not to prune: exploring the efficacy of pruning for model compression Michael Zhu Suyog Gupta 194 1,278 0 05 Oct 2017
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio MQ 149 1,867 0 22 Sep 2016
COCO: Performance Assessment N. Hansen A. Auger D. Brockhoff Dejan Tusar Tea Tušar 52 105 0 11 May 2016
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC Aki Vehtari Andrew Gelman Jonah Gabry 124 4,055 0 16 Jul 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014
Convolutional Neural Networks at Constrained Time Cost Kaiming He Jian Sun 3DV 88 1,292 0 04 Dec 2014
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 373 25,678 0 09 Jun 2011