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  • Professor Erik Cambria: Ensemble Application of Symbolic and Subsymbolic AI for Affective Computing and Sentiment Analysis

Professor Erik Cambria: Ensemble Application of Symbolic and Subsymbolic AI for Affective Computing and Sentiment Analysis

"Ensemble Application of Symbolic and Subsymbolic AI for Affective Computing and Sentiment Analysis" is the title of Professor Erik Cambria's speech to be held on January 10, 2020 at the Computer science department at 11:00 in the meeting room on the first floor.

Here is the abstract: With recent developments in deep learning, AI research has gained new vigor and relevance. However, machine learning still faces three major challenges: (1) requires a lot of training data and is domain dependent; (2) different types of training or modification of the parameters lead to inconsistent results; (3) the use of black-box algorithms makes the reasoning process uninterpretable.