Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Suthaharan, Shan"'
Autor:
Dey, Amitabha, Suthaharan, Shan
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 concepts of machine learning (ML) would be beneficial. However, the conv
Externí odkaz:
http://arxiv.org/abs/2306.02193
Autor:
Gouru, Aishwarya, Suthaharan, Shan
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 for classifying facial emotions is the detection of accurate emotional
Externí odkaz:
http://arxiv.org/abs/2112.02729
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. Most state-of-the-art span detection approaches employ various techniques
Externí odkaz:
http://arxiv.org/abs/2102.12254
Autor:
Suthaharan, Shan
Publikováno v:
In Patterns 14 July 2023 4(7)
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 to be a difficult and resource intensive task. One of the pertinent m
Externí odkaz:
http://arxiv.org/abs/1805.01333
Autor:
Suthaharan, Shan
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 unpredictability, caused by the randomness of fatal crash incidents, reduce
Externí odkaz:
http://arxiv.org/abs/1711.10131
Autor:
Suthaharan, Shan, Shen, Weining
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 in the input domain. These differences - caused by the perturbation te
Externí odkaz:
http://arxiv.org/abs/1710.07939
Publikováno v:
Proceedings of SPIE; October 2024, Vol. 13118 Issue: 1 p131180A-131180A-7, 1180628p
Publikováno v:
Proceedings of SPIE; October 2024, Vol. 13118 Issue: 1 p131180D-131180D-4, 1180625p