12 citations · 19 across the 6 of their papers we have counts for
6 papers
LDEB -- Label Digitization with Emotion Binarization and Machine Learning for Emotion Recognition in Conversational Dialogues
Amitabha Dey, Shan Suthaharan
Emotion recognition in conversations (ERC) is vital to the advancements of conversational AI and its applications. Therefore, the development of an automated ERC model using the co…
Facial Emotion Characterization and Detection using Fourier Transform and Machine Learning
Aishwarya Gouru, Shan Suthaharan
We present a Fourier-based machine learning technique that characterizes and detects facial emotions. The main challenging task in the development of machine learning (ML) models f…
NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques
Gunjan Chhablani, Abheesht Sharma, Harshit Pandey +2
Toxicity detection of text has been a popular NLP task in the recent years. In SemEval-2021 Task-5 Toxic Spans Detection, the focus is on detecting toxic spans within passages. Mos…
What we learn from learning - Understanding capabilities and limitations of machine learning in botnet attacks
David Santana, Shan Suthaharan, Somya Mohanty
With a growing increase in botnet attacks, computer networks are constantly under threat from attacks that cripple cyber-infrastructure. Detecting these attacks in real-time proves…
A fatal point concept and a low-sensitivity quantitative measure for traffic safety analytics
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. This unpre…
Elliptical modeling and pattern analysis for perturbation models and classfication
Shan Suthaharan, Weining Shen
The characteristics (or numerical patterns) of a feature vector in the transform domain of a perturbation model differ significantly from those of its corresponding feature vector…