• Are We Ready for this Disaster? Towards Location Mention Recognition from Crisis Tweets 

      Suwaileh, Reem; Imran, Muhammad; Elsayed, Tamer; Sajjad, Hassan ( Association for Computational Linguistics (ACL) , 2020 , Conference Paper)
      The widespread usage of Twitter during emergencies has provided a new opportunity and timely resource to crisis responders for various disaster management tasks. Geolocation information of pertinent tweets is crucial for ...
    • CAT: Credibility Analysis of Arabic Content on Twitter 

      El Ballouli, Rim; El-Hajj, Wassim; Ghandour, Ahmad; Elbassuoni, Shady; Hajj, Hazem; ... more authors ( Association for Computational Linguistics (ACL) , 2017 , Conference Paper)
      Data generated on Twitter has become a rich source for various data mining tasks. Those data analysis tasks that are dependent on the tweet semantics, such as sentiment analysis, emotion mining, and rumor detection among ...
    • Horizontal Two-Phase Flow Regime Identification with Machine Learning Classification Models 

      Manikonda, Kaushik; Islam, Raka; Obi, Chinemerem Edmond; Hasan, Abu Rashid; Sleiti, Ahmad Khalaf; ... more authors ( International Petroleum Technology Conference (IPTC) , 2022 , Conference Paper)
      This paper presents a follow-up study to Manikonda et al. (2021), which identified the best machine learning (ML) models for classifying the flow regimes in vertical gas-liquid two-phase flow. This paper replicates their ...
    • Weighted Trustworthiness for ML Based Attacks Classification 

      Chkirbene Z.; Erbad A.; Hamila R.; Gouissem A.; Mohamed A.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Recently, machine learning techniques are gaining a lot of interest in security applications as they exhibit fast processing with real-time predictions. One of the significant challenges in the implementation of these ...