no code implementations • 16 Apr 2024 • Hao Feng, Yuanzhe Jia, Ruijia Xu, Mukesh Prasad, Ali Anaissi, Ali Braytee
Image recognition techniques heavily rely on abundant labeled data, particularly in medical contexts.
no code implementations • 30 Nov 2023 • Aryaman Rao, Parth Singh, Dinesh Kumar Vishwakarma, Mukesh Prasad
Influence Maximization is the task of selecting optimal nodes maximising the influence spread in social networks.
no code implementations • 1 Jan 2023 • Kunal Chaturvedi, Ali Braytee, Jun Li, Mukesh Prasad
This paper proposes a novel self-supervised based Cut-and-Paste GAN to perform foreground object segmentation and generate realistic composite images without manual annotations.
no code implementations • 26 Nov 2022 • Arkajyoti Chakraborty, Inder Khatri, Arjun Choudhry, Pankaj Gupta, Dinesh Kumar Vishwakarma, Mukesh Prasad
Recent works on fake news detection have shown the efficacy of using emotions as a feature for improved performance.
no code implementations • 24 Nov 2022 • Arjun Choudhry, Inder Khatri, Arkajyoti Chakraborty, Dinesh Kumar Vishwakarma, Mukesh Prasad
Recent works on fake news detection have shown the efficacy of using emotions as a feature or emotions-based features for improved performance.
no code implementations • 17 Nov 2022 • Aaryan Gupta, Inder Khatri, Arjun Choudhry, Pranav Chandhok, Dinesh Kumar Vishwakarma, Mukesh Prasad
In this work, we propose a community structures-based approach, which employs a K-Shell algorithm in order to generate a score for the connections between seed nodes and communities for low-budget scenarios.
no code implementations • 19 Oct 2022 • Vivek Velivela, Chahat Raj, Muhammad Salman Tiwana, Raj Prasanna, Mahendra Samarawickrama, Mukesh Prasad
Social media has been a powerful tool and an integral part of communication, especially during natural disasters.
no code implementations • 16 Nov 2021 • Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Javier Andreu-Perez, Wei-Ping Ding, Chin-Teng Lin, Mukesh Prasad
In the case of mental task classification, the availability of training samples to features are minimal.
no code implementations • 23 Jun 2021 • Kamaladdin Fataliyev, Aneesh Chivukula, Mukesh Prasad, Wei Liu
Then, we cover the analysis techniques and create a taxonomy of the main stock market forecast models.
no code implementations • 28 Oct 2020 • Usman Naseem, Imran Razzak, Shah Khalid Khan, Mukesh Prasad
In this survey, we explore different word representation models and its power of expression, from the classical to modern-day state-of-the-art word representation language models (LMS).
1 code implementation • 4 Apr 2019 • Ayman Elgharabawy, Mukesh Prasad, Chin-Teng Lin
This paper proposes a preference neural network (PNN) to address the problem of indifference preferences orders with new activation function.