Work
A model-free deep reinforcement learning approach to tackle neural control problems
Brian Mitchell and Linda Petzold, two researchers at the University of California, have recently applied model-free deep reinforcement learning to models of neural dynamics, achieving very promising...
Analyzing book reading behavior on Goodreads to predict Amazon Bestsellers
Researchers at Northwestern University, Microsoft Research India, and the Indian Institute of Technology Kharagpur have recently developed a model to predict whether a book will become a bestseller...
Analyzing spoken language and 3-D facial expressions to measure depression severity
Researchers at Stanford have recently explored the use of machine learning to measure the severity of depressive symptoms by analyzing people's spoken language and 3-D facial expressions. Their...
An emotional deep alignment network (DAN) to classify and visualize emotions
Researchers at the Polish-Japanese Academy of Information Technology and Warsaw University of Technology have developed a deep alignment network (DAN) model to classify and visualize emotions. Their...
A neural network to extract knowledgeable snippets and documents
Every day, millions of articles are published on social media and other platforms, receiving a vast amounts of clicks and shares from users navigating the web. Many of these articles contain useful...
A light-weight and accurate deep learning model for audiovisual emotion recognition
Researchers at Orange Labs and Normandie University have developed a novel deep neural model for audiovisual emotion recognition that performs well with small training sets. Their study, which was...
A new strategy to correct imperfections in occupancy grid maps
Researchers at Laboratório de Computação de Alto Desempenho (LCAD) of Universidade Federal do Espírito Santo (UFES), in Brazil, have devised a novel strategy for correcting imperfections in...
Detecting fake face images created by both humans and machines
Researchers at the State University of New York in Korea have recently explored new ways to detect both machine and human-created fake images of faces. In their paper, published in ACM Digital...
Fog robotics: A new approach to achieve efficient and fluent human-robot interaction
Researchers at the Innovation and Enterprise Research Laboratory (The Magic Lab) of the University of Technology Sydney have proposed a new robotics architecture called fog robotics (FR). Their...
Identifying deep network generated images using disparities in color components
Researchers at Shenzhen University have recently devised a method to detect images generated by deep neural networks. Their study, pre-published on arXiv, identified a set of features to capture...