no code implementations • 3 Jun 2023 • Amitabha Dey, Shan Suthaharan
This entanglement that can be multiplied with the presence of data paucity is an obstacle for a ML model.
no code implementations • 6 Dec 2021 • Aishwarya Gouru, Shan Suthaharan
We present a Fourier-based machine learning technique that characterizes and detects facial emotions.
1 code implementation • SEMEVAL 2021 • Gunjan Chhablani, Abheesht Sharma, Harshit Pandey, Yash Bhartia, Shan Suthaharan
In our paper, we explore simple versions of both of these approaches and their performance on the task.
no code implementations • 28 Nov 2017 • Shan Suthaharan
The variability of the clusters generated by clustering techniques in the domain of latitude and longitude variables of fatal crash data are significantly unpredictable.
no code implementations • 22 Oct 2017 • Shan Suthaharan, Weining Shen
In this paper, we proposed a nonlinear parametric perturbation model that transforms the input feature patterns to a set of elliptical patterns, and studied the performance degradation issues associated with random forest classification technique using both the input and transform domain features.