3 citations · 5 across the 4 of their papers we have counts for
8 papers
Predicting the generalization gap in neural networks using topological data analysis
Rubén Ballester, Xavier Arnal Clemente, Carles Casacuberta +3
Understanding how neural networks generalize on unseen data is crucial for designing more robust and reliable models. In this paper, we study the generalization gap of neural netwo…
Industry 4.0 and Prospects of Circular Economy: A Survey of Robotic Assembly and Disassembly
Morteza Daneshmand, Fatemeh Noroozi, Ciprian Corneanu +2
Despite their contributions to the financial efficiency and environmental sustainability of industrial processes, robotic assembly and disassembly have been understudied in the exi…
Computing the Testing Error without a Testing Set
Ciprian Corneanu, Meysam Madadi, Sergio Escalera +1
Deep Neural Networks (DNNs) have revolutionized computer vision. We now have DNNs that achieve top (performance) results in many problems, including object recognition, facial expr…
Deep Structure Inference Network for Facial Action Unit Recognition
Ciprian A. Corneanu, Meysam Madadi, Sergio Escalera
Facial expressions are combinations of basic components called Action Units (AU). Recognizing AUs is key for developing general facial expression analysis. In recent years, most ef…
Survey on Emotional Body Gesture Recognition
Fatemeh Noroozi, Ciprian Adrian Corneanu, Dorota Kamińska +3
Automatic emotion recognition has become a trending research topic in the past decade. While works based on facial expressions or speech abound, recognizing affect from body gestur…
XBadges. Identifying and training soft skills with commercial video games
Sergio Alloza, Flavio Escribano, Sergi Delgado +2
XBadges is a research project based on the hypothesis that commercial video games (nonserious games) can train soft skills. We measure persistence, spatial reasoning and risk takin…