Computer Sciences

A new deep learning model for EEG-based emotion recognition

Recent advances in machine learning have enabled the development of techniques to detect and recognize human emotions. Some of these techniques work by analyzing electroencephalography (EEG) signals, which are essentially ...

Computer Sciences

A deep learning technique for context-aware emotion recognition

A team of researchers at Yonsei University and École Polytechnique Fédérale de Lausanne (EPFL) has recently developed a new technique that can recognize emotions by analyzing people's faces in images along with contextual ...

Computer Sciences

A new approach to discover visual patterns in art collections

Researchers at UC Berkeley and Ecole des Ponts Paris Tech have recently developed a deep learning approach for discovering recurring visual patterns in art collections. Their paper, pre-published on arXiv, will be presented ...

Machine learning & AI

Emotion recognition based on paralinguistic information

Researchers at the University of Texas at Arlington have recently explored the use of machine learning for emotion recognition based solely on paralinguistic information. Paralinguistics are aspects of spoken communication ...

Computer Sciences

An evaluation of mouse dynamics for intrusion detection

Researchers at Sapientia University in Romania and Université de Lyon have recently carried out a performance evaluation of unrestricted mouse usage for impostor detection. Their findings, pre-published on arXiv, suggest ...

Computer Sciences

Producing better guides for medical-image analysis

MIT researchers have devised a method that accelerates the process for creating and customizing templates used in medical-image analysis, to guide disease diagnosis.

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