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Ara es mostren els items 1-7 de 7

    • A Docker-based federated learning framework design and deployment for multi-modal data stream classification 

      Arijit, Nandi; Xhafa Xhafa, Fatos; Kumar, Rohit (2023-05-11)
      Article
      Accés restringit per política de l'editorial
      In the high-performance computing (HPC) domain, federated learning has gained immense popularity. Especially in emotional and physical health analytics and experimental facilities. Federated learning is one of the most ...

    • A federated learning method for real-time emotion state classification from multi-modal streaming 

      Arijit, Nandi; Xhafa Xhafa, Fatos (Elsevier, 2022-08)
      Article
      Accés obert
      Emotional and physical health are strongly connected and should be taken care of simultaneously to ensure completely healthy persons. A person’s emotional health can be determined by detecting emotional states from various ...

    • A Survey on multimodal data stream mining for e-learner’s emotion recognition 

      Arijit, Nandi; Xhafa Xhafa, Fatos; Subirats, Laia; Fort, Santi (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Emotions play a crucial role in learning. To improve and optimize electronic learning (e-Learning) outcomes, many researchers have investigated the role of emotions. Also, researchers have come up with many approaches to ...

    • Federated learning with exponentially weighted moving average for real-time emotion classification 

      Arijit, Nandi; Xhafa Xhafa, Fatos; Subirats Maté, Laia; Fort, Santiago (Springer, 2022)
      Text en actes de congrés
      Accés obert
      Federated learning (FL) allows to develop a powerful shared prediction model while preserving the users' privacy by keeping the data local. In particular it is a useful framework to use resource-constrained edge computing ...

    • Real-time emotion classification using EEG data stream in e-learning contexts 

      Arijit, Nandi; Xhafa Xhafa, Fatos; Subirats, Laia; Fort, Santi (Multidisciplinary Digital Publishing Institute (MDPI), 2021-02-25)
      Article
      Accés obert
      In face-to-face and online learning, emotions and emotional intelligence have an influence and play an essential role. Learners’ emotions are crucial for e-learning system because they promote or restrain the learning. ...

    • Real-time multimodal emotion classification system in E-Learning context 

      Arijit, Nandi; Xhafa Xhafa, Fatos; Subirats Maté, Laia; Fort, Santiago (Springer, 2021)
      Text en actes de congrés
      Accés obert
      Emotions of learners are crucial and important in e-learning as they promote learning. To investigate the effects of emotions on improving and optimizing the outcomes of e-learning, machine learning models have been proposed ...

    • Reward-penalty weighted ensemble for emotion state classification from multi-modal data streams 

      Arijit, Nandi; Xhafa Xhafa, Fatos; Subirats Maté, Laia; Fort, Santi (World Scientific Publishing, 2022-09-21)
      Article
      Accés obert
      Researchers have shown the limitations of using the single-modal data stream for emotion classification. Multi-modal data streams are therefore deemed necessary to improve the accuracy and performance of online emotion ...