44 citations · 58 across the 12 of their papers we have counts for
12 papers
Enhancing Hindi NER in Low Context: A Comparative study of Transformer-based models with vs. without Retrieval Augmentation
Sumit Singh, Rohit Mishra, Uma Shanker Tiwary
One major challenge in natural language processing is named entity recognition (NER), which identifies and categorises named entities in textual input. In order to improve NER, thi…
Proactive Emotion Tracker: AI-Driven Continuous Mood and Emotion Monitoring
Mohammad Asif, Sudhakar Mishra, Ankush Sonker +3
This research project aims to tackle the growing mental health challenges in today's digital age. It employs a modified pre-trained BERT model to detect depressive text within soci…
Deep Fuzzy Framework for Emotion Recognition using EEG Signals and Emotion Representation in Type-2 Fuzzy VAD Space
Mohammad Asif, Noman Ali, Sudhakar Mishra +2
Recently, the representation of emotions in the Valence, Arousal and Dominance (VAD) space has drawn enough attention. However, the complex nature of emotions and the subjective bi…
Inter Subject Emotion Recognition Using Spatio-Temporal Features From EEG Signal
Mohammad Asif, Diya Srivastava, Aditya Gupta +1
Inter-subject or subject-independent emotion recognition has been a challenging task in affective computing. This work is about an easy-to-implement emotion recognition model that…
Emotion Recognition With Temporarily Localized 'Emotional Events' in Naturalistic Context
Mohammad Asif, Sudhakar Mishra, Majithia Tejas Vinodbhai +1
Emotion recognition using EEG signals is an emerging area of research due to its broad applicability in BCI. Emotional feelings are hard to stimulate in the lab. Emotions do not la…
An Affective Video Database using Multimedia Content Analysis rated on Indian samples
Sudhakar Mishra, Narayanan Srinivasan, Uma Shanker Tiwary
Availability of naturalistic affective stimuli is needed for creating the affective technological solution as well as making progress in affective science. Although a lot of progre…