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01/12/2023
Adversarial Adaptation for French Named Entity Recognition
Named Entity Recognition (NER) is the task of identifying and classifyin...
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12/05/2022
Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora
Named Entity Recognition (NER) involves the identification and classific...
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11/26/2022
An Emotion-guided Approach to Domain Adaptive Fake News Detection using Adversarial Learning
Recent works on fake news detection have shown the efficacy of using emo...
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11/24/2022
Emotion-guided Cross-domain Fake News Detection using Adversarial Domain Adaptation
Recent works on fake news detection have shown the efficacy of using emo...
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11/22/2022
An Emotion-Aware Multi-Task Approach to Fake News and Rumour Detection using Transfer Learning
Social networking sites, blogs, and online articles are instant sources ...
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11/17/2022
A Spreader Ranking Algorithm for Extremely Low-budget Influence Maximization in Social Networks using Community Bridge Nodes
In recent years, social networking platforms have gained significant pop...
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09/19/2021
An Automated Multi-Web Platform Voting Framework to Predict Misleading Information Proliferated during COVID-19 Outbreak using Ensemble Method
Spreading of misleading information on social web platforms has fuelled ...
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09/14/2021
Multilevel profiling of situation and dialogue-based deep networks for movie genre classification using movie trailers
Automated movie genre classification has emerged as an active and essent...
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05/12/2021
Deep and Shallow Covariance Feature Quantization for 3D Facial Expression Recognition
Facial expressions recognition (FER) of 3D face scans has received a sig...
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12/24/2020
Person Re-Identification using Deep Learning Networks: A Systematic Review
Person re-identification has received a lot of attention from the resear...
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12/15/2020
A Deep Multi-Level Attentive network for Multimodal Sentiment Analysis
Multimodal sentiment analysis has attracted increasing attention with br...
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11/20/2020
A Deep Language-independent Network to analyze the impact of COVID-19 on the World via Sentiment Analysis
Towards the end of 2019, Wuhan experienced an outbreak of novel coronavi...
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12/08/2019
View-invariant Deep Architecture for Human Action Recognition using late fusion
Human action Recognition for unknown views is a challenging task. We pro...
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12/02/2019
Skeleton based Activity Recognition by Fusing Part-wise Spatio-temporal and Attention Driven Residues
There exist a wide range of intra class variations of the same actions a...
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03/11/2019
A Hybrid Framework for Action Recognition in Low-Quality Video Sequences
Vision-based activity recognition is essential for security, monitoring ...
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05/20/2018