Jimson Mathew
Biographic Data
| ID | 8306520 |
|---|---|
| NAME | Jimson Mathew |
| GIVEN NAMES | Jimson |
| FAMILY NAME | Mathew |
| SIGNATURE | MATHEW J |
| AFFILIATIONS | Indian Institute of Technology Patna |
| ORCID | 0000-0001-8247-9040 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Online Research Topic Modeling and Recommendation Utilizing Multiview Autoencoder-Based Approach
Recent years have witnessed tremendous growth in the publication of research articles as well as in the rise of new research topics. Articles get published in a streaming manner and therefore retrieving and recommending trending topics continuously by updating the trend of topics with time will be beneficial for young researchers. The proposed topic recommendation system is a clustering-based approach that utilizes an autoencoder framework for th…
Online Summarization of Microblog Data: An Aid in Handling Disaster Situations
During any natural disaster or unfortunate accident, both civilians and responders need information on an urgent basis. In such events, microblogging sites particularly Twitter plays an important role in providing real-time information. The raw form of microblog tweets is prodigiously informative but massive in size. The end-users and data analysts have to go through millions of tweets before extraction of any information. To ease the process and…
Which Priorities Should Guide Design of Online Health Professions Capability-Based Curricula
Inquiry-based learning instructional design methods support online health professions capability-based curricula. This article proposes which instructional design priorities should guide development of inclusive, accessible online curricula and learning experiences
Multiview Deep Online Clustering: An Application to Online Research Topic Modeling and Recommendations
In today’s scenario, a large number of scientific articles on various domains are being published everyday, resulting in a rapid change in the trends of research topics. Retrieving the trending topics, evaluating the trends and extracting the scope of topics could be beneficial to young researchers, which can be recommended for future scope. Publication of articles is a continuous process, and so is the evolution of topics as well as the scope. T…
Improved residential energy management system using priority double deep Q-learning
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Improved residential energy management system using priority double deep Q-learning
Multiview Deep Online Clustering: An Application to Online Research Topic Modeling and Recommendations
In today’s scenario, a large number of scientific articles on various domains are being published everyday, resulting in a rapid change in the trends of research topics. Retrieving the trending topics, evaluating the trends and extracting the scope of topics could be beneficial to young researchers, which can be recommended for future scope. Publication of articles is a continuous process, and so is the evolution of topics as well as the scope. T…
Online Research Topic Modeling and Recommendation Utilizing Multiview Autoencoder-Based Approach
Recent years have witnessed tremendous growth in the publication of research articles as well as in the rise of new research topics. Articles get published in a streaming manner and therefore retrieving and recommending trending topics continuously by updating the trend of topics with time will be beneficial for young researchers. The proposed topic recommendation system is a clustering-based approach that utilizes an autoencoder framework for th…
Online Summarization of Microblog Data: An Aid in Handling Disaster Situations
During any natural disaster or unfortunate accident, both civilians and responders need information on an urgent basis. In such events, microblogging sites particularly Twitter plays an important role in providing real-time information. The raw form of microblog tweets is prodigiously informative but massive in size. The end-users and data analysts have to go through millions of tweets before extraction of any information. To ease the process and…
Which Priorities Should Guide Design of Online Health Professions Capability-Based Curricula
Inquiry-based learning instructional design methods support online health professions capability-based curricula. This article proposes which instructional design priorities should guide development of inclusive, accessible online curricula and learning experiences
Computer Science (5 works) · Advanced Text Analysis Techniques (3 works) · Artificial Intelligence (3 works) · Complex Network Analysis Techniques (3 works) · Data science (3 works) · Information retrieval (3 works) · Autoencoder (2 works) · Cluster analysis (2 works) · Data mining (2 works) · Deep learning (2 works)