• On the Online Classification of Data Streams Using Weak Estimators 

      Tavasoli, Hanane; Oommen, John; Yazidi, Anis (Lecture Notes in Computer Science;9799, Journal article; Peer reviewed, 2016)
      In this paper, we propose a novel online classifier for complex data streams which are generated from non-stationary stochastic properties. Instead of using a single training model and counters to keep important data ...
    • On utilizing weak estimators to achieve the online classification of data streams 

      Tavasoli, Hanane; Oommen, John; Yazidi, Anis (Engineering Applications of Artificial Intelligence;Volume 86, November 2019, Journal article; Peer reviewed, 2019-09-02)
      Classification, typically, deals with unique and distinct training and testing phases. This paper pioneers the concept when these phases are not so clearly well-defined. More specifically, we consider the case where the ...
    • On utilizing weak estimators to achieve the online classification of data streams 

      Tavasoli, Hanane; Oommen, John; Yazidi, Anis (Engineering Applications of Artificial Intelligence;Volume 86, November 2019, Journal article; Peer reviewed, 2019-09-02)
      Classification, typically, deals with unique and distinct training and testing phases. This paper pioneers the concept when these phases are not so clearly well-defined. More specifically, we consider the case where the ...