Posture estimation for a canine machine interface based training system. - Rita Brugarolas; David L. Roberts 001; Barbara L. Sherman; Alper Bozkurt (EMBC, 2012)

Behavior recognition based on machine learning algorithms for a wireless canine machine interface. - Rita Brugarolas; Robert T. Loftin; Pu Yang; David L. Roberts 001; Barbara L. Sherman; Alper Bozkurt (BSN, 2013)

Toward Cyber-Enhanced Working Dogs for Search and Rescue. - Alper Bozkurt; David L. Roberts 001; Barbara L. Sherman; Rita Brugarolas; Sean Mealin; John Majikes; Pu Yang; Robert Tyler Loftin (IEEE Intell. Syst., 2014)

Knowledge engineering for unsupervised canine posture detection from IMU data. - Michael Winters; Rita Brugarolas; John Majikes; Sean Mealin; Sherrie Yuschak; Barbara L. Sherman; Alper Bozkurt; David L. Roberts 001 (Advances in Computer Entertainment, 2015)

Towards a wearable system for continuous monitoring of sniffing and panting in dogs. - Rita Brugarolas; M. Talha Agcayazi; Sherrie Yuschak; David L. Roberts 001; Barbara L. Sherman; Alper Bozkurt (BSN, 2016)

Auto-adjusting mandibular repositioning device for in-home use. - Rita Brugarolas; Jose Manuel Valero-Sarmiento; Alper Bozkurt; Greg K. Essick (EMBC, 2016)

Smart connected canines: IoT design considerations for the lab, home, and mission-critical environments. - John J. Majikes; Sean Mealin; Rita Brugarolas; Katherine Walker; Sherrie Yuschak; Barbara L. Sherman; Alper Bozkurt; David L. Roberts 001 (Sarnoff Symposium, 2016)

Stimulus Control for Semi-autonomous Computer Canine-Training. - John J. Majikes; Sherrie Yuschak; Katherine Walker; Rita Brugarolas; Sean Mealin; Marc Foster; Alper Bozkurt; Barbara L. Sherman; David L. Roberts 001 (Living Machines, 2017)

Balancing noise sensitivity, response latency, and posture accuracy for a computer-assisted canine posture training system. - John Majikes; Rita Brugarolas; Michael Winters; Sherrie Yuschak; Sean Mealin; Katherine Walker; Pu Yang; Barbara L. Sherman; Alper Bozkurt; David L. Roberts 001 (Int. J. Hum. Comput. Stud., 2017)

Token and Head Adaptive Transformers for Efficient Natural Language Processing. - Chonghan Lee; Md Fahim Faysal Khan; Rita Brugarolas Brufau; Ke Ding; Vijaykrishnan Narayanan (COLING, 2022)

Token Adaptive Vision Transformer with Efficient Deployment for Fine-Grained Image Recognition. - Chonghan Lee; Rita Brugarolas Brufau; Ke Ding; Vijaykrishnan Narayanan (DATE, 2023)

Graph Enhanced Feature Engineering for Privacy Preserving Recommendation Systems. - Chendi Xue; Xinyao Wang; Yu Zhou; Poovaiah M. Palangappa; Rita Brugarolas Brufau; Aasavari Dhananjay Kakne; Ravi Motwani; Ke Ding; Jian Zhang (RecSys Challenge, 2023)

BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large Graphs. - Loc Hoang; Rita Brugarolas Brufau; Ke Ding; Bo Wu (CoRR, 2023)

Learning reduced-order models for cardiovascular simulations with graph neural networks. - Luca Pegolotti; Martin R. Pfaller; Natalia L. Rubio; Ke Ding; Rita Brugarolas Brufau; Eric Darve; Alison L. Marsden (Comput. Biol. Medicine, 2024)