Deepak Kumar Jain
Biographic Data
| ID | 9886433 |
|---|---|
| NAME | Deepak Kumar Jain |
| GIVEN NAMES | Deepak Kumar |
| FAMILY NAME | Jain |
| SIGNATURE | JAIN D K |
| AFFILIATIONS | Chongqing University of Posts and Telecommunications |
| ORCID | 0000-0002-3400-1613 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Analysis of Tripartite Evolutionary Game in Rumor Spreading Decisions Under Reward-Punishment Mechanism
Employing Co-Learning to Evaluate the Explainability of Multimodal Sentiment Analysis
Deep neural nets are opaque black-box models with little to no understanding of underlying model dynamics. This issue is more prevalent in the case of multimodal artificial intelligence (AI) systems, where model explainability and interpretability are prime concerns due to data integration from heterogeneous data streams and complex inter and intramodal interactions. However, the traditional explainable models are challenging to apply in the mult…
Hybrid Deep Neural Network for Handling Data Imbalance in Precursor MicroRNA
Over the last decade, the field of bioinformatics has been increasing rapidly. Robust bioinformatics tools are going to play a vital role in future progress. Scientists working in the field of bioinformatics conduct a large number of researches to extract knowledge from the biological data available. Several bioinformatics issues have evolved as a result of the creation of massive amounts of unbalanced data. The classification of precursor microR…
No prominent works on this page.
Hybrid Deep Neural Network for Handling Data Imbalance in Precursor MicroRNA
Over the last decade, the field of bioinformatics has been increasing rapidly. Robust bioinformatics tools are going to play a vital role in future progress. Scientists working in the field of bioinformatics conduct a large number of researches to extract knowledge from the biological data available. Several bioinformatics issues have evolved as a result of the creation of massive amounts of unbalanced data. The classification of precursor microR…
Employing Co-Learning to Evaluate the Explainability of Multimodal Sentiment Analysis
Deep neural nets are opaque black-box models with little to no understanding of underlying model dynamics. This issue is more prevalent in the case of multimodal artificial intelligence (AI) systems, where model explainability and interpretability are prime concerns due to data integration from heterogeneous data streams and complex inter and intramodal interactions. However, the traditional explainable models are challenging to apply in the mult…
Analysis of Tripartite Evolutionary Game in Rumor Spreading Decisions Under Reward-Punishment Mechanism
Artificial Intelligence (2 works) · Computer Science (2 works) · Deep learning (2 works) · Machine learning (2 works) · Artificial neural network (1 work) · Bioinformatics (1 work) · Biology (1 work) · Black box (1 work) · Decision tree (1 work) · Deep neural networks (1 work)