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

Can machine-learning models overcome biased datasets?

Artificial intelligence systems may be able to complete tasks quickly, but that doesn't mean they always do so fairly. If the datasets used to train machine-learning models contain biased data, it is likely the system could ...

Computer Sciences

Injecting fairness into machine-learning models

If a machine-learning model is trained using an unbalanced dataset, such as one that contains far more images of people with lighter skin than people with darker skin, there is serious risk the model's predictions will be ...

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