Madhu Kumari

According to our database1, Madhu Kumari authored at least 28 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Rumor identification and diffusion impact analysis in real-time text stream using deep learning.
J. Supercomput., April, 2024

Bug summary entropy based training candidates identification in cross project severity prediction.
Int. J. Syst. Assur. Eng. Manag., March, 2024

2022
Intelligent Information Retrieval for Reducing Missed Cancer and Improving the Healthcare System.
Int. J. Inf. Retr. Res., 2022

Post-quantum lightweight identity-based two-party authenticated key exchange protocol for Internet of Vehicles with probable security.
Comput. Commun., 2022

Real-time event detection and classification in social text steam using embedding.
Clust. Comput., 2022

2021
Burst: real-time events burst detection in social text stream.
J. Supercomput., 2021

2020
Entropy Based Machine Learning Models for Software Bug Severity Assessment in Cross Project Context.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

2019
Multi-attribute dependent bug severity and fix time prediction modeling.
Int. J. Syst. Assur. Eng. Manag., 2019

Evolution of Modern Deep Learning Methods of Object Recognition.
Res. Comput. Sci., 2019

Rumors detection, verification and controlling mechanisms in online social networks: A survey.
Online Soc. Networks Media, 2019

Quantitative Quality Evaluation of Software Products by Considering Summary and Comments Entropy of a Reported Bug.
Entropy, 2019

Recommendation of Indian Cuisine Recipes Based on Ingredients.
Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

Food Image to Cooking Instructions Conversion Through Compressed Embeddings Using Deep Learning.
Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

Deep Learning with Big Data: An Emerging Trend.
Proceedings of the 19th International Conference on Computational Science and Its Applications, 2019

2018
Severity Assessment of a Reported Bug by Considering its Uncertainty and Irregular State.
Int. J. Open Source Softw. Process., 2018

Sentiment Based Information Diffusion in Online Social Networks.
Int. J. Knowl. Discov. Bioinform., 2018

Reduction of Redundant Rules in Association Rule Mining-Based Bug Assignment.
CoRR, 2018

An Improved Classifier Based on Entropy and Deep Learning for Bug Priority Prediction.
Proceedings of the Intelligent Systems Design and Applications, 2018

SGP: A Safe Graphical Password System Resisting Shoulder-Surfing Attack on Smartphones.
Proceedings of the Information Systems Security - 14th International Conference, 2018

Patient Identification Based on Wrist Activity Data.
Proceedings of the Third IEEE/ACM International Conference on Connected Health: Applications, 2018

Multimodal Deep Learning in Semantic Image Segmentation: A Review.
Proceedings of the 2018 International Conference on Cloud Computing and Internet of Things, 2018

2017
Big data analytics in healthcare: opportunities, challenges and techniques.
Int. J. Soc. Comput. Cyber Phys. Syst., 2017

Mobile robot path planning with modified ant colony optimisation.
Int. J. Bio Inspired Comput., 2017

2015
Post Release Versions based Code Change Quality Metrics.
Proceedings of the Third International Symposium on Women in Computing and Informatics, 2015

Bug Assignee Prediction Using Association Rule Mining.
Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015

The Way Ahead for Bug-fix time Prediction.
Proceedings of the Joint Proceedings of the 3rd International Workshop on Quantitative Approaches to Software Quality (QuASoQ), 2015

2014
Multiattribute Based Machine Learning Models for Severity Prediction in Cross Project Context.
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014

2010
Revenue Estimation and Quantification in Sponsored Search Auctions: An Inductive Learning Approach.
Proceedings of the Data Engineering and Management - Second International Conference, 2010


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