1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2023
Continuous Learning Based Novelty Aware Emotion Recognition System
Mijanur Palash, Bharat Bhargava
Current works in human emotion recognition follow the traditional closed learning approach governed by rigid rules without any consideration of novelty. Classification models are t…
cs.CV2023★ 1 cited
EMERSK -- Explainable Multimodal Emotion Recognition with Situational Knowledge
Mijanur Palash, Bharat Bhargava
Automatic emotion recognition has recently gained significant attention due to the growing popularity of deep learning algorithms. One of the primary challenges in emotion recognit…
cs.AI2021
AdaPool: A Diurnal-Adaptive Fleet Management Framework using Model-Free Deep Reinforcement Learning and Change Point Detection
Marina Haliem, Vaneet Aggarwal, Bharat Bhargava
This paper introduces an adaptive model-free deep reinforcement approach that can recognize and adapt to the diurnal patterns in the ride-sharing environment with car-pooling. Deep…