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Found 5 papers, 0 papers with code
An Approach for Improving Automatic Mouth Emotion Recognition
The study proposes and tests a technique for automated emotion recognition through mouth detection via Convolutional Neural Networks (CNN), meant to be applied for supporting people with health disorders with communication skills issues (e. g. muscle wasting, stroke, autism, or, more simply, pain) in order to recognize emotions and generate real-time feedback, or data feeding supporting systems.
Sharing Linkable Learning Objects with the use of Metadata and a Taxonomy Assistant for Categorization
In this work, a re-design of the Moodledata module functionalities is presented to share learning objects between e-learning content platforms, e. g., Moodle and G-Lorep, in a linkable object format.
Semantic Evolutionary Concept Distances for Effective Information Retrieval in Query Expansion
In this work several semantic approaches to concept-based query expansion and reranking schemes are studied and compared with different ontology-based expansion methods in web document search and retrieval.
Just an Update on PMING Distance for Web-based Semantic Similarity in Artificial Intelligence and Data Mining
One of the main problems that emerges in the classic approach to semantics is the difficulty in acquisition and maintenance of ontologies and semantic annotations.
Web-based Semantic Similarity for Emotion Recognition in Web Objects
In this project we propose a new approach for emotion recognition using web-based similarity (e. g. confidence, PMI and PMING).
