Rita Brugarolas Brufau

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 6

Top Topics

Image Recognition

Correlation Filters

Natural Language Processing

Top Venues

RecSys Challenge

Comput. Biol. Medicine

Publications

Luca Pegolotti, Martin R. Pfaller, Natalia L. Rubio, Ke Ding, Rita Brugarolas Brufau, Eric Darve, Alison L. Marsden
Learning reduced-order models for cardiovascular simulations with graph neural networks. Comput. Biol. Medicine 168 (2024)
Chonghan Lee, Rita Brugarolas Brufau, Ke Ding, Vijaykrishnan Narayanan
Token Adaptive Vision Transformer with Efficient Deployment for Fine-Grained Image Recognition. DATE (2023)
Chendi Xue, Xinyao Wang, Yu Zhou, Poovaiah Palangappa, Rita Brugarolas Brufau, Aasavari Dhananjay Kakne, Ravi Motwani, Ke Ding, Jian Zhang
Graph Enhanced Feature Engineering for Privacy Preserving Recommendation Systems. RecSys Challenge (2023)
Luca Pegolotti, Martin R. Pfaller, Natalia L. Rubio, Ke Ding, Rita Brugarolas Brufau, Eric Darve, Alison L. Marsden
Learning Reduced-Order Models for Cardiovascular Simulations with Graph Neural Networks. CoRR (2023)
Loc Hoang, Rita Brugarolas Brufau, Ke Ding, Bo Wu
BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large Graphs. CoRR (2023)
Chonghan Lee, Md Fahim Faysal Khan, Rita Brugarolas Brufau, Ke Ding, Vijaykrishnan Narayanan
Token and Head Adaptive Transformers for Efficient Natural Language Processing. COLING (2022)