Mining Informative Words from the Tweets for Detecting the Resources During Disaster. - Madichetty Sreenivasulu; M. Sridevi (MIKE, 2017)

Detecting Informative Tweets during Disaster using Deep Neural Networks. - Madichetty Sreenivasulu; M. Sridevi (COMSNETS, 2019)

Disaster damage assessment from the tweets using the combination of statistical features and informative words. - Madichetty Sreenivasulu; M. Sridevi (Soc. Netw. Anal. Min., 2019)

Comparative study of statistical features to detect the target event during disaster. - Madichetty Sreenivasulu; M. Sridevi (Big Data Min. Anal., 2020)

Classifying informative and non-informative tweets from the twitter by adapting image features during disaster. - Madichetty Sreenivasulu; M. Sridevi (Multim. Tools Appl., 2020)

Identification of medical resource tweets using Majority Voting-based Ensemble during disaster. - Madichetty Sreenivasulu; M. Sridevi (Soc. Netw. Anal. Min., 2020)

A novel method for identifying the damage assessment tweets during disaster. - Madichetty Sreenivasulu; M. Sridevi (Future Gener. Comput. Syst., 2021)

Multi-modal classification of Twitter data during disasters for humanitarian response. - Madichetty Sreenivasulu; Sridevi Muthukumarasamy; P. Jayadev (J. Ambient Intell. Humaniz. Comput., 2021)

A stacked convolutional neural network for detecting the resource tweets during a disaster. - Madichetty Sreenivasulu; M. Sridevi (Multim. Tools Appl., 2021)

A Neural-Based Approach for Detecting the Situational Information From Twitter During Disaster. - Madichetty Sreenivasulu; M. Sridevi (IEEE Trans. Comput. Soc. Syst., 2021)

A RoBERTa based model for identifying the multi-modal informative tweets during disaster. - Madichetty Sreenivasulu; Sridevi M; Sreekanth Madisetty (Multim. Tools Appl., 2023)