1 code implementation • 26 Mar 2024 • Qingyuan Wang, Barry Cardiff, Antoine Frappé, Benoit Larras, Deepu John
By searching and employing the most appropriate tiny model as the computational saver for a given large model, the proposed approaches work as a novel and generic method to model compression.
Ranked #163 on Image Classification on ImageNet
1 code implementation • 4 Mar 2024 • Qingyuan Wang, Barry Cardiff, Antoine Frappé, Benoit Larras, Deepu John
Moreover, most current dynamic compression designs are monolithic and tightly integrated with base models, thereby complicating the adaptation to novel base models.
no code implementations • 17 Oct 2023 • Guoxin Wang, Qingyuan Wang, Ganesh Neelakanta Iyer, Avishek Nag, Deepu John
Unsupervised learning methods have become increasingly important in deep learning due to their demonstrated large utilization of datasets and higher accuracy in computer vision and natural language processing tasks.
2 code implementations • 15 Sep 2023 • Shaowu Chen, Weize Sun, Lei Huang, Xiaopeng Li, Qingyuan Wang, Deepu John
In recent years, two competitive time series classification models, namely, ROCKET and MINIROCKET, have garnered considerable attention due to their low training cost and high accuracy.
no code implementations • 14 Jun 2022 • Li Xiaolin, Fang Xiang, Rajesh C. Panicker, Barry Cardiff, Deepu John
To make the model immune to noise, we updated the model using frequency features and achieved good sustained performance in presence of noise with a slightly lower accuracy of 98. 69%.
no code implementations • 14 Jun 2022 • Xiu Qi Chang, Ann Feng Chew, Benjamin Chen Ming Choong, Shuhui Wang, Rui Han, Wang He, Li Xiaolin, Rajesh C. Panicker, Deepu John
Deep neural networks (DNN) are a promising tool in medical applications.
1 code implementation • 1 Mar 2022 • Soumyabrata Dev, Hewei Wang, Chidozie Shamrock Nwosu, Nishtha Jain, Bharadwaj Veeravalli, Deepu John
Therefore, it is vital to study the interdependency of these risk factors in patients' health records and understand their relative contribution to stroke prediction.
1 code implementation • 19 Oct 2021 • Muhammad Salman Pathan, Jianbiao Zhang, Deepu John, Avishek Nag, Soumyabrata Dev
We propose a novel rough-set based technique for ranking the importance of the various EHR records in detecting stroke.
no code implementations • 31 Aug 2021 • Xiaolin Li, Rajesh Panicker, Barry Cardiff, Deepu John
However, the computational complexity of existing CNN models prohibits them from being implemented in low-powered edge devices.
1 code implementation • 25 Aug 2021 • Arlene John, Koushik Kumar Nundy, Barry Cardiff, Deepu John
A novel method for the detection of sleep apnea events (pause in breathing) from peripheral oxygen saturation (SpO2) signals obtained from wearable devices is discussed in this paper.
1 code implementation • 2 May 2021 • Arlene John, Barry Cardiff, Deepu John
This paper introduces a novel method for apnea detection (pause in breathing) from electrocardiogram (ECG) signals obtained from wearable devices.