A Chance-Constrained Programming Approach to Preoperative Planning of Robotic Cardiac Surgery Under Task-Level Uncertainty

By H. Azimian, M. Naish, B. Kiaii, Rajnikant V. Patel. 2015

7 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Homa Alemzadeh
2. Kush R. Varshney
3. Cynthia Rudin
4. Willem Waegeman
5. Eyke Hüllermeier
6. Been Kim
7. Adrian Weller
8. Rick Salay

In Computer Vision and Pattern Recognition

1. Kush R. Varshney
2. Homa Alemzadeh

In Control and Systems Engineering

1. Kush R. Varshney

Citations in the corpus

• On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products (2016, background): “ An example of adopting safety reserves (Section III-2) in robotic surgery is robust optimization of preoperative planning to minimize the uncertainty at the task level while maximizing the dexterity [43]. 2) Self-Driving Cars: Self-driving cars are autonomous cyber-physical systems capable of makin”