Madichetty Sreenivasulu

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 11

Top Topics

Individual Classifiers

Majority Voting

Damage Assessment

Top Venues

Multim. Tools Appl.

Soc. Netw. Anal. Min.

Future Gener. Comput. Syst.

Publications

Madichetty Sreenivasulu, Sridevi M, Sreekanth Madisetty
A RoBERTa based model for identifying the multi-modal informative tweets during disaster. Multim. Tools Appl. 82 (24) (2023)
Madichetty Sreenivasulu, M. Sridevi
A stacked convolutional neural network for detecting the resource tweets during a disaster. Multim. Tools Appl. 80 (3) (2021)
Madichetty Sreenivasulu, M. Sridevi
A novel method for identifying the damage assessment tweets during disaster. Future Gener. Comput. Syst. 116 (2021)
Madichetty Sreenivasulu, M. Sridevi
A Neural-Based Approach for Detecting the Situational Information From Twitter During Disaster. IEEE Trans. Comput. Soc. Syst. 8 (4) (2021)
Madichetty Sreenivasulu, Sridevi Muthukumarasamy, P. Jayadev
Multi-modal classification of Twitter data during disasters for humanitarian response. J. Ambient Intell. Humaniz. Comput. 12 (11) (2021)
Madichetty Sreenivasulu, M. Sridevi
Identification of medical resource tweets using Majority Voting-based Ensemble during disaster. Soc. Netw. Anal. Min. 10 (1) (2020)
Madichetty Sreenivasulu, M. Sridevi
Classifying informative and non-informative tweets from the twitter by adapting image features during disaster. Multim. Tools Appl. 79 (39-40) (2020)
Madichetty Sreenivasulu, M. Sridevi
Comparative study of statistical features to detect the target event during disaster. Big Data Min. Anal. 3 (2) (2020)
Madichetty Sreenivasulu, M. Sridevi
Disaster damage assessment from the tweets using the combination of statistical features and informative words. Soc. Netw. Anal. Min. 9 (1) (2019)
Madichetty Sreenivasulu, M. Sridevi
Detecting Informative Tweets during Disaster using Deep Neural Networks. COMSNETS (2019)
Madichetty Sreenivasulu, M. Sridevi
Mining Informative Words from the Tweets for Detecting the Resources During Disaster. MIKE (2017)