3 citations · 8 across the 4 of their papers we have counts for
4 papers
Recurrent Point Review Models
Kostadin Cvejoski, Ramses J. Sanchez, Bogdan Georgiev +2
Deep neural network models represent the state-of-the-art methodologies for natural language processing. Here we build on top of these methodologies to incorporate temporal informa…
Recurrent Point Processes for Dynamic Review Models
Kostadin Cvejoski, Ramses J. Sanchez, Bogdan Georgiev +3
Recent progress in recommender system research has shown the importance of including temporal representations to improve interpretability and performance. Here, we incorporate temp…
Recurrent Adversarial Service Times
César Ojeda, Kostadin Cvejosky, Ramsés J. Sánchez +3
Service system dynamics occur at the interplay between customer behaviour and a service provider's response. This kind of dynamics can effectively be modeled within the framework o…
Adiabatic Quantum Computing for Binary Clustering
Christian Bauckhage, Eduardo Brito, Kostadin Cvejoski +3
Quantum computing for machine learning attracts increasing attention and recent technological developments suggest that especially adiabatic quantum computing may soon be of practi…